diff --git a/notebooks/02.08-Sorting.ipynb b/notebooks/02.08-Sorting.ipynb index 1a82f745a..199cb6870 100644 --- a/notebooks/02.08-Sorting.ipynb +++ b/notebooks/02.08-Sorting.ipynb @@ -30,7 +30,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Up to this point we have been concerned mainly with tools to access and operate on array data with NumPy.\n", + "Up to this point we have ever been concerned mainly with tools to access and operate on array data with NumPy.\n", "This section covers algorithms related to sorting values in NumPy arrays.\n", "These algorithms are a favorite topic in introductory computer science courses: if you've ever taken one, you probably have had dreams (or, depending on your temperament, nightmares) about *insertion sorts*, *selection sorts*, *merge sorts*, *quick sorts*, *bubble sorts*, and many, many more.\n", "All are means of accomplishing a similar task: sorting the values in a list or array.\n", @@ -41,26 +41,24 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", + "import os\n", "\n", "def selection_sort(x):\n", " for i in range(len(x)):\n", " swap = i + np.argmin(x[i:])\n", - " (x[i], x[swap]) = (x[swap], x[i])\n", + " i += 1\n", + " (x[x], x[swap]) = (x[swap], x[i])\n", " return x" ] }, { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -92,9 +90,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "def bogosort(x):\n", @@ -106,9 +102,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -151,9 +145,7 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -181,9 +173,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -208,9 +198,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -237,9 +225,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -273,9 +259,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -297,9 +281,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -323,9 +305,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -365,9 +345,7 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -398,9 +376,7 @@ { "cell_type": "code", "execution_count": 13, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -444,9 +420,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "X = rand.rand(10, 2)" @@ -462,9 +436,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -496,9 +468,7 @@ { "cell_type": "code", "execution_count": 16, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "dist_sq = np.sum((X[:, np.newaxis, :] - X[np.newaxis, :, :]) ** 2, axis=-1)" @@ -514,9 +484,7 @@ { "cell_type": "code", "execution_count": 17, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -538,9 +506,7 @@ { "cell_type": "code", "execution_count": 18, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -562,9 +528,7 @@ { "cell_type": "code", "execution_count": 19, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -593,9 +557,7 @@ { "cell_type": "code", "execution_count": 20, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -623,9 +585,7 @@ { "cell_type": "code", "execution_count": 21, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -661,9 +621,7 @@ { "cell_type": "code", "execution_count": 22, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "K = 2\n", @@ -680,9 +638,7 @@ { "cell_type": "code", "execution_count": 23, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -773,9 +729,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.4" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/notebooks/04.02-Simple-Scatter-Plots.ipynb b/notebooks/04.02-Simple-Scatter-Plots.ipynb index de850cc00..19ac6cbb8 100644 --- a/notebooks/04.02-Simple-Scatter-Plots.ipynb +++ b/notebooks/04.02-Simple-Scatter-Plots.ipynb @@ -37,10 +37,8 @@ }, { "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": true - }, + "execution_count": 2, + "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", @@ -61,16 +59,14 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false - }, + "execution_count": 6, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD/CAYAAAD/qh1PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -93,16 +89,14 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, + "execution_count": 4, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAD/CAYAAADllv3BAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYmKosBNCiIn5/5UUNVEacdwFAAAAAElFTkSuQmCC\n", + "image/png": "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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -111,11 +105,11 @@ ], "source": [ "rng = np.random.RandomState(0)\n", - "for marker in ['o', '.', ',', 'x', '+', 'v', '^', '<', '>', 's', 'd']:\n", + "for marker in ['o', '*', '+', 'v', '<', '>', 'x', 'd', 's']:\n", " plt.plot(rng.rand(5), rng.rand(5), marker,\n", - " label=\"marker='{0}'\".format(marker))\n", - "plt.legend(numpoints=1)\n", - "plt.xlim(0, 1.8);" + " label=\"pointer='{0}'\".format(pointer))\n", + "plt.legend(numpoints=3)\n", + "plt.xlim(0, 1.6);" ] }, { @@ -127,16 +121,14 @@ }, { "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, + "execution_count": 7, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD/CAYAAAD/qh1PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTwghIkeFnhBCRI4KPSGEiNz/Aak6QmZ56l4lAAAAAElFTkSuQmCC\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXkAAAD0CAYAAAB+WlaPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzt3Xl4FFX28PFvJwSSsCmKoiyJW66AikNEQBBZBFkiWVC2iCxi/Dk6KjOKjGFEfQi4oIiOjkZFwySBsIWwBRURRBSBjOOghKuoCfumIGvC0vX+kYQ3ZCHQW1VXn8/z5DF9q6rrXLo9qT59616HYRgIIYSwpyCzAxBCCOE9kuSFEMLGJMkLIYSNSZIXQggbkyQvhBA2JkleCCFsrJbZAVSUl5cnYzqFEMIF0dHRjoptlkvyANHR0S4dl5+fT8uWLT0cjbVJnwOD9DkwuNPnvLy8KtulXCOEEDYmSV4IIWxMkrwQQtiYJHkhhLAxt754VUq1B17SWnet0H438CxwCpiutX5PKRUGpAOXAYeB4Vrrfe6cXwghxLm5fCWvlBoLvA+EVmgPAaYCvYA7gCSlVBPgYWCj1vp2YAYw3tVzCyHsJyMjg8jISIKCgoiMjGTx4sVmh2QL7pRrfgYSqmhvCWzRWh/QWp8AvgRuBzoDy0r3yQXudOPcfqnimzgjI8Mj+wrh7zIyMkhKSqKwsBDDMCgsLOTZZ5+V970HuFyu0VrPU0pFVrGpAfBHuceHgYYV2svaqpSfn+9STEVFRS4f622LFy/m2WefpaioCIDCwkJGjx7Nzp07iYmJOWvfhQsX8txzz53Xvlbus7dIn+1l7969PPLIIxw7duys9qKiIp566inatm1rUmS+543X2Rs3Qx0C6pd7XB84WKG9rK1Krt4MYOWbJ/r06XMmaZcpKipiwoQJLFq0iIMHD575OXz4cKXji4qKeOutt3jqqafOardyn71F+uw/MjIySE5OZuvWrbRo0YKUlBSGDh3KDz/8QE5ODjk5Oaxfv77a43fv3u2X/XaVv9wMlQ9cp5RqpJSqDXQBvgbWAH1L9+kDrPbCuS1r69atVbYfP36cWrVqce2119KjRw8eeOCBC34OIayoqhLMiBEjaNKkCTfeeCPjx48nKCiISZMmccUVV1T5HNW1i/PnsSt5pdRQoJ7WOlUp9VfgY0r+iEzXWu9QSv0LSFNKfQmcAIZ66tz+oGnTpmzfvr1Se0REBCtWrDirLTs7m8LCwkr7tmjRwmvxCeFpycnJlUowp06d4tChQ7zzzjvcfffdXHnllUDJezspKanS/gcPHuTTTz+lZ8+ePovbdgzDsNTPhg0bDFdt2rTJ5WO9qaioyFBKGcBZP+Hh4UZ6enql/dPT043w8PBK+w8aNKjSvlbtszdJn/2Dw+Go9B4GDIfDUeX+6enpRkREhOFwOIyIiAhj7Nixxo033mgEBQUZL7/8suF0On3cA99z53UuzZ2VcqrcDOVlhmEwatQotNb8+c9/JiIiAofDQUREBKmpqSQmJlY6JjExkdTU1DP7tmjRgo4dO5KVlcWbb75pQi+EuHBNmzatsr26T6SJiYkUFBTgdDopKChgxIgRfPXVVyQkJDB27FiGDh3K0aNHvRmyPVWV+c38sduV/Pjx4w3ASElJcet5Tpw4YcTHxxuAkZqaeqbdin32Numz9TmdTuOWW24570+vVSnrs9PpNCZPnmw4HA6jTZs2xtSpU8+64j/f5/MH3riSNz2pV/yxU5KfPn26ARgPPPCARz5qFhUVGX369DEcDofx73//2zAM6/XZF6TP1vfOO+8YgDFkyBCXE3LFPufm5hphYWFu/eGwOm8keUvOJ28Hy5cvJykpiZ49e/Kvf/0Lh6PSXP4XrE6dOsybN4+YmBiGDx9OaGgorVu39kC0QnjOpk2bGDNmDL169SI9PZ2gIM9UhXv37s3FF1/M8ePHz2o/duwYycnJVZY+hUxQ5hXff/89AwYM4Prrr2fOnDmEhIR47LnDwsLIycmhY8eODBkyhJUrV3rsuYVwV1FREYMHD6ZevXqkpaV5LMGX2bVrV5XtMry4epLkPWzXrl3069ePunXrsmTJEho2rPbGXpfVq1ePJUuWcPPNN/Poo49y+eWXy/QHwhLGjh3Lxo0b+eijj2jSpInHn7+6L21leHH1JMl7QMV5Znbv3s3ixYu9+sZr2LAhDz74IIZhsHfv3jM3myQlJUmiF6ZYvHgxb775Jo8//jh9+/at+QAXpKSkEB4eflZbaGgoKSkpXjmfHUiSd1PFu/pOnDiBw+HwyTwjkyZNKvn2vJyy+qQQvrRr1y5GjhxJmzZteOmll7x2norDi8surIYODah7Ky+IJHk3VXVXX3FxsU8SbXV1SKlPCl9yOp3cf//9HD16lJkzZ1KnTh2vnq/8ePo33niDzZs3s2TJEq+e059JkneTmYlW6pPCCqZMmcLy5cuZNm2azycTS0pKIioqirFjx3Lq1CmfnttfSJJ3k5mJNiUlhdDQs9ZsISQkROqTwmfWr19PcnIyAwYMYPTo0T4/f0hICC+++CL5+flMnz7d5+f3B5Lk3fTQQw9VagsPD/dJok1MTOSFF144U58MDQ0lNDSU+Ph4r59bBLaMjAxatGjBrbfeimEY9OrVyyP3grgiLi6OTp068eyzz3LkyBFTYrAySfJu2rhxI3Xq1KFZs2Y1zknjDTExMWfqk59++imHDx/mnXfe8cm5RWAqG2ywbds2AE6fPs2YMWNMG9XlcDiYMmUKe/bsYcqUKabEYGWS5N2wZcsWsrKyeOyxx9i2bduZiZXMuvOuc+fOdO/enZdffrnSl8FCeEpVgw3MHtXVoUMH7rnnHl555ZVqb5gKVJLk3fDKK68QEhLCmDFjzA7ljAkTJrBnzx5SU1PNDkXYlFVHdU2ePJmTJ0/y3HPPmRqH1UiSd9HOnTv56KOPGDFihKVWr+nSpQtdu3blpZdeqjTHhxCeUN373exRXddeey0PP/ww77//Pps2bTI1FiuRJO+iqVOncurUqUprrlrBhAkT2L17N++9957ZoQgbuummmyq1+WqwQU3+8Y9/UK9ePZ5++mmzQ7EMl2ehVEoFAW8DbYBiYLTWekvptpuB18vt3gGIA9YBPwLfl7Zna62nuRqDWQ4cOMA777zDoEGDuOaaa8wOp5KuXbvSpUsXXnrpJZKSkioNsxTCVYcPH+arr76iY8eO7Ny586wFuq0wC+Sll17KM888w7hx41i5ciVdu3Y1OyTTuXMlHweEaq07AuOAV8s2aK3/q7XuqrXuCrwFzNdaLwPaAjPLtvljggf45z//yZEjRxg3bpzZoVRrwoQJ7Ny5kw8++MDsUISNfPTRRxw6dIipU6eetYqTFRJ8mccee4zmzZvz5JNP4nQ6zQ7HdO4k+c7AMgCt9Vrgloo7KKXqAs8Dj5U2RQNtlVKrlFJzlFLWKWafp6NHjzJt2jRiYmKq/NhqFd26daNz5868+OKLFBcXmx2OsIGyaQQ6dOhA+/btzQ6nWmFhYUycOJG8vDxmzZpldjimc2fRkAbAH+Uen1ZK1dJal7+3+AFgjtZ6f+njzUCe1nq5UioReBO4p+ITuzq5V1FRkdcnBpsxYwa//fYbQ4YM8ckkZDU5V59HjBjB6NGjmTRpEoMHD/ZxZN7ji9fZaqzQ55UrV7JlyxYefvhhn8TiTp+jo6O5/vrreeSRR3jyySfZvXs3TZo0YcyYMcTExHg4Us/xyutc1XJR5/MTFRX1WlRU1MByj7dXsc83UVFRzcs9rh8VFRVc+nt4VFTUzxWPsfLyf8XFxUazZs2MLl26ePU8F+JcfXY6nUbHjh2N5s2bG0VFRT6Myrv8bSk8T7BCn3v06GE0bdrUOHHihE/O526fx40b53dLBXpj+T93yjVrgL4ASqkOwMbyG5VSDYE6Wutt5ZrfBwaU/t4DyHPj/D6Xnp7O9u3b+fvf/252KOfF4XAwYcIEtm3bxkcffWR2OMKPff/993z22Wc8+uijHl3pzJtmzpxZqc3sm7bM4E6SzwaKlFJfAVOBMUqpvyql+pdujwIKKhwzDnhYKbUS+D/gcTfO71OnT5/mpZde4k9/+hN33XWX2eGct169etG+fXsmTZrEiRMnzA5H+Klp06YRFhbGgw8+aHYo582qN235mss1ea21k5JEXd7mctvXUzICp/wxvwLdXD2nmbKzs/nxxx/JysoybSImV5Rdzfft25e0tDS/+p9UWMP+/ftJT0/n/vvv55JLLjE7nPPWokULCgsLq2wPJHIz1HkwDIPJkydz3XXXMWDAgJoPsJjevXvTrl07Jk2axMmTJ80OR/iZ1NRUioqKeOyxx2re2UKqWirQKjdt+ZIk+fPw6aef8p///Ienn36a4OBgs8O5YGVX8wUFBTRp0kQW/Rbn7eTJk7z11lv07NmT1q1bmx3OBSlbKrB58+YA1KtXz6czxFqFJPnzMGnSJJo2bcqwYcPMDsVlBw8eJCgoiN9//10W/Rbnbe7cuezcuZMnnnjC7FBckpiYyNatW7n//vsJCgoKyLUWJMnX4Ouvv2bVqlX87W9/o3bt2maH47Lk5ORKd/8F4kgDcWGmTZtGVFQUvXv3NjsUt4waNYpDhw4xf/58s0PxOUny1cjIyCAyMpLbbruNoKAgGjZsaHZIbpGRBuJCrV27lm+++YbHHnuMoCD/ThVdunTh6quvDsglAv37lfOSspVvyr6Zdzqd/OUvf/Hr0oYs+i0u1Ouvv07Dhg0ZPny42aG4zeFwMHLkSD7//HN++eUXs8PxKUnyVbDiyjfukpEG4kJs376duXPnMnr0aOrVq2d2OB4xfPhwHA4HaWlpZofiU5Lkq2DH0kbZSIOIiAigZJX7QBxpIM7PW2+9hWEYPProo2aH4jHNmzenV69efPjhh5w+fdrscHxGknwV7FraSExMpKCggDfeeIOTJ0/Spk0bs0MSFnTs2DFSU1OJi4sjMjLS7HA8auTIkWzbto0VK1aYHYrPSJKvQkpKSqXx8HYqbQwePJhatWrx73//2+xQhAWlp6fz+++/++2wyXOJjY3l4osv5sMPPzQ7FJ+RJF+Ffv36AVC/fn0cDgcRERG2Km00btyY3r17k5GREVAfW8W5ZWRkEBERwUMPPURISIhflyerExoaSmJiIvPnz+fAgQNmh+MTkuSrMG/ePE6fPs1nn31myZVvPGHYsGHs2LGDlStXmh2KsICyEWVlif3kyZO2vVlu5MiRFBcXVzlLpR1Jkq9CZmYm1113HbfcUmmxK9u4++67adCgAenp6WaHIizAjiPKqvOnP/2JNm3aBMyYeUnyFezYsYPPP/+coUOH+tVskxcqLCyMe+65h7lz51b6n1sEHjuOKKuOw+Fg1KhR5OXl8b///c/scLxOknwFs2bNwjAM25VnqjJs2DCOHDlCTk6O2aEIk9l1RFl1EhMTqV27dkB8AStJvoKMjAzatWvHddddZ3YoXtelSxdatGgho2wEKSkplaYusNOIsoouueQS+vfvT3p6uu0X05EkX05+fj7ffvttQFzFAwQFBZGYmMgnn3zCnj17zA5HmKh3794YhkGDBg1sOaKsKqNGjWL//v0sXrzY7FC8yuWVoZRSQcDbQBugGBittd5SbvsbQCfgcGlTLBACZAJhwE5gpNbaMgXhzMxMgoKCGDRokNmh+MywYcOYPHkys2bN4vHH/WY1RuFh2dnZGIbB559/Ttu2bc0Oxyd69epF06ZNmT59OgkJCWaH4zXuXMnHAaFa646UrN36aoXtbYG7tNZdS3/+AJ4FMrXWtwPfAg+5cX6PMgyDzMxMevToQZMmTcwOx2datmxJdHS0lGwCXFZWFtdeey1/+tOfzA7FZ4KDgxk+fDi5ubns3LnT7HC8xp0k3xlYBqC1XgucGW9YepV/HZCqlFqjlBpV8RggF7jTjfN71DfffMMvv/xi64+n1bnvvvvIy8sjPz/f7FCECfbu3cuKFSsYNGiQrUeUVWXEiBE4nU5mzJhhdihe43K5BmgA/FHu8WmlVC2t9SmgLvAm8BoQDHyulNpQ4ZjDQJWTtLuabIqKilw+9s0336ROnTq0atXKr5KdO30uEx0dTXBwMFOnTmXMmDEeisx7PNFnf+PNPs+cOROn00m7du0s9e/qq9c5Ojqad999l/79+5v+R84bfXYnyR8C6pd7HFSa4AGOAdPK6u1KqRWU1O7Ljjle+t+DVT1xy5YtXQooPz/fpWNPnjzJp59+Sv/+/WnXrp1L5zaLq32uqFevXnz88ce88847ll8gwlN99ife7POqVato1aqVJZJceb56nR999FFGjhzJgQMH6NSpk9fPdy7u9DkvL6/Kdnf+b14D9AVQSnUANpbbFgV8qZQKVkqFUFKm+U/5Y4A+wGo3zu8xy5cvZ9++fQFZqikzbNgwtm7dyurVlnhJhI/s3LmT1atXB2Sppsw999xD3bp1bXsHrDtJPhsoUkp9BUwFxiil/qqU6q+1zgcygLXAKmCG1voHYCIwWCm1BugI/NO98D0jMzOTiy66yO/XsXRHbGws9erVky9gA8ycOXMwDCOgRpRVVK9ePW655RY+/PBDgoKCiIyMtNWcPS6Xa7TWTuD/KjRvLrf9ZeDlCsfsASyVSY8ePUp2djZDhw6lTp06ZodjmvDwcAYMGMCcOXN48803CQsLMzsk4QNZWVm0adMGpZTZoZgmIyODtWvXYhgGAIWFhSQlJQHY4tO9tYuvPrBw4UKOHj1qixfTXcOGDePQoUMsWrTI7FCEDxQWFvL1118H9FU8lEzOVlxcfFabnSZnC/gkn5mZSbNmzbj99tvNDsV0Xbt2pWnTpjIzZYCYPXs2QMAnebtPzhbQSX7//v0sW7aMIUOGWH5EiS8EBweTmJhIbm4u+/btMzsc4WVZWVm0a9eOq6++2uxQTGX3ydkCOrPNmTOHU6dOSammnGHDhnHq1CmysrLMDkV40ZYtW8jLywv4q3gomZwtPDz8rDY7Tc4W0Ek+MzOT1q1bc9NNN5kdimXccMMNtGnTRkbZ2FxZqWbgwIEmR2K+xMREUlNTiYiIONP2+uuv2+biL2CTfGFhIV9++aXtFwdxRatWrVi3bp0th5OJEllZWdx22200b97c7FAsITExkYKCAtauXQuUrAVrFwGb5DMzMwEYOnSoyZFYS0ZGBgsWLABKJm0rG04mid4+8vPz+d///ielmiq0a9eOpk2bMn/+fLND8ZiATPKGYZCRkUGnTp2IjIw0OxxLSU5O5vjx42e12Wk4mSi5inc4HNx7771mh2I5QUFBJCQksGzZMo4ePWp2OB4RcEk+IyODpk2b8sMPP7Bp0ya5Qq3A7sPJAp1hGGRlZXHHHXdwxRVXmB2OJSUkJFBUVMSyZctq3tkPBFSSz8jIICkpiV27dgFw4MABKUVUYPfhZIFu48aNbN68WUo159C5c2cuvfRS5s2bZ3YoHhFQST45OZljx85eiEpKEWez+3CyQJeVlUVwcDADBgwwOxTLqlWrFrGxsSxevLjSnbD+KKCSvJQialbVcLKUlBTbDCcLZIZhMGvWLLp3707jxo3NDsfSEhISOHz4MJ999pnZobgtoJK8lCLOT9lwsp9//hngzMRNwr/l5eXxyy+/SKnmPPTo0YMGDRrYYpRNQCX5lJSUSmPipRRRvauvvpqbbrqJ7Oxss0MRHpCVlUVISAjx8fFmh2J5derUISYmhpycHE6dOlXzARYWUEk+OjoawzC4+OKLcTgcREREkJqaKqWIc4iPj2fNmjXs3bvX7FCEGwzDYPbs2fTq1YtGjRqZHY5fSEhIYP/+/X6/kE5AJfmym3z+97//4XQ6KSgokARfg/j4eJxOp0w/7McyMjK44oor2Lp1K2vXrpXRZOepd+/ehIaG+n3JJuCSfLt27WjWrJnZofiNm266icjISCnZ+KmyYcN79uwB4LfffpNhw+epbt269O7dm+zsbJxOp9nhuMyllaGUUkHA25Qszl0MjNZabym3fQwwuPThUq3180opB7Ad+Km0/Wut9d9djvwC7dy5k2+++Ubq7xfI4XAQHx/P22+/zeHDh6lfv37NBwnLONewYfkUW7OEhAQWLFjA+vXrad++vdnhuMTVK/k4IFRr3REYB7xatkEpdTWQCNxGyTquvZRSNwHXAP/RWnct/fFZggfIyckpCTwuzpentYW4uDiKi4ttcwdgIJFhw+65++67qVWrll+XbFxN8p2BZQBa67XALeW2bQN6a61Pl64DGwIUAdFAU6XU50qppcrHi0ouWLCA6667jpYtW/rytLbQqVMnGjduLCUbPyTDht1z0UUX0aNHD+bNm+e3Q4ldXci7AfBHucenlVK1tNantNYngf2l5ZlXgG+11j8qpZoAk7XWc5RSnYF0oF1VT56fn+9SUEVFRVUee+jQIVasWMHw4cPZvHlzFUf6r+r67GldunRh0aJFfPfdd9SuXdvr5zsXX/XZSlzt85///GfGjRt3VoIKDQ3lkUcesfy/oVVe544dO/Lxxx+Tk5Pj9QXPvdJnwzAu+CcqKuq1qKiogeUeb6+wPTQqKiozKirq3aioqODStvCoqKja5fbZGRUV5aj43Bs2bDBctWnTpirbMzMzDcD46quvXH5uq6quz562aNEiAzCWLVvmk/Odi6/6bCWu9vmHH34wAKNRo0aGw+EwIiIijPT0dA9H5x1WeZ13795tOBwOY8KECV4/lzt9Ls2dlfK1q+WaNUBfAKVUB2Bj2YbSK/gc4Dut9UNa69OlmyYAT5Tu0wbYqrX2yeefBQsWcPnll/vtFydWcOedd1K3bt0zw1CFfyj7LkqGDbvu8ssvp3Pnzn5bl3c1yWcDRUqpr4CpwBil1F+VUv0p+VL2DqCPUmpl6U9H4EXgDqXUKuA1YIT74desuLiYpUuXEhsbK4t1uyE0NJQ+ffqQk5Pj18PJAk1OTs6ZhTCE6xISEti4cSM//fRTzTtbjEs1+dIvVP+vQnP5Ynd1a2f1c+V87lixYgVHjhyRUTUeEB8fz9y5c/nmm2/o2LGj2eGIGpQNG544caLZofi9hIQExowZw/z583n66afNDueC2P7SdsGCBdSrV4/u3bubHYrf69evHyEhIVKy8RNldynHxsaaHIn/a9GiBbfccotflmxsneSdTic5OTn07duXOnXqmB2O32vYsCHdunUjOzvbb4eTBZKcnByuvvpqWrdubXYotpCQkMC6devYtm2b2aFcEFsn+W+++YY9e/ZIqcaD4uPj+emnn9i0aZPZoYhzKJsLPS4urtLMq8I1CQkJAH73SdbWSX7BggWEhITQt29fs0OxjbKP/v72Rg80y5Yt48SJE1Kq8SClFK1atfK7ZQFtm+QNwyA7O5tu3brRsGFDs8OxjSuuuIIOHTrI3a8Wl5OTwyWXXMJtt91mdii2kpCQwOrVq/1q6m3bJvnNmzfz008/SanGC+Lj48nLy/O72mSgOHnyJEuWLCEmJoZatVy9qV1UZcCAATidTlq2bElQUBCRkZGWn9HTtkm+rJzQv39/kyOxn7I/nFKysabVq1dz8OBBKdV4wQ8//IDD4eD333/HMAwKCwstP3WzrZP8rbfeKjeBeEFUVBStWrWSko1FLViwgNDQUHr16mV2KLaTnJxcaWRZ2dTNVmXLJL9jxw7WrVsnpRovio+P54svvuC3334zOxRRjmEY5OTk0LNnT+rWrWt2OLbjj1M32zLJL1y4EJC5470pLi6O06dPs3jxYrNDEeV89913bN26VUo1XuKPUzfbMskvWLCAqKgorr/+erNDsa3o6GiaNWsmJRuLycnJweFwEBMTY3YotpSSkkJ4ePhZbeHh4ZZecc52Sf7gwYOsWLFCbgLxMofDQVxcHJ988kml5eWEeXJycujYsSOXX3652aHYUmJiIqmpqTRu3BiAyy67jNTUVEvP7Gm7JJ+bm8upU6ekVOMD8fHxHD9+nI8//tjsUARQWFjIt99+K+99L0tMTKSwsJDw8HAGDBhg6QQPNkzyMne873Tp0oXw8HCGDRvmN2OG7azsuyipx3tfWFgYvXr1YuHChZafx8lWSf7EiRMyd7wPZWVlUVxczNGjR/1mzLCd5eTkcP311xMVFWV2KAEhNjaWHTt2kJeXZ3Yo52SrTLh27VqOHDlCfHy82aEEhOTkZE6fPn1Wm9XHDNvVgQMHWLVqlVzF+1BMTAxBQUFnVt+yKlsl+c8++4z69evTrVs3s0MJCP44Ztiuli5dyqlTpyTJ+9Cll15Kp06d7JvklVJBSql3lFJfly7xd22F7Q8qpTYopdYqpWJK2y5VSn2ilFqtlMpSSoVX/ewXJiMjg4iICObMmcPp06eZO3euJ55W1MAfxwzbVU5OjnwXZYLY2Fg2btzIr7/+anYo1XLnSj4OCNVadwTGAa+WbVBKNQEeAzoBdwGTlVJ1gGeBTK317cC3wENunB8oSfBJSUlnrh6PHTsmdWEf8ccxw3ZUXFxMbm4u/fv3l++ifKzsk5OVr+bdeUd0BpYBaK3XAreU23YrsEZrXay1/gPYAtxU/hggF7jTjfMDJXXhiuO0pS7sG2Vjhps1awaUrBxl9THDdvT5559z5MgRKdWY4Nprr6VVq1aWTvLuzEPaAPij3OPTSqlaWutTVWw7DDSs0F7WVkl+fv55B3GuuvCFPI+/KioqMrWfbdu25ZNPPuH+++/n8OHDtG3b1uvxmN1nM5yrzx9++CFhYWE0bdrUVv8u/vI6d+rUienTp/P1119z0UUXufVc3uizO0n+EFC/3OOg0gRf1bb6wMFy7cfLtVXSsmXL8w6iRYsWFBYWVtl+Ic/jr/Lz8y3RzyFDhvC3v/2N0NBQrrrqKq+eyyp99qXq+ux0Olm9ejV9+/bl5ptvNiEy7/GX1/mBBx7gvffeY8uWLQwbNsyt53Knz9UN5XSnXLMG6AuglOoAbCy3bR1wu1IqVCnVEGgJfF/+GKAPsNqN8wNSF7YKf6hN2tGGDRvYtWuXlGpM1K5dO6644grLvvfdSfLZQJFS6itgKjBGKfVXpVR/rfVu4A1KkvgKIFlrXQRMBAYrpdYAHYF/uhf+/68CANU9AAAYKElEQVQLR0RE4HA4iIiIkLqwCa655hpuuOEGy77R7SonJ4fg4GD69etndigBKygoiLvvvptly5ZRVFRkdjiVGYZhqZ8NGzYYrtq0aZPLx/orK/V5/PjxRlBQkLF//36vnsdKffaVin1OT083IiIiDMCoU6eOkZ6eblJk3uNPr/OSJUsMwFi6dKlbz+NOn0tzZ6WcKuOthMfExsbidDpZsmSJ2aHYWtmw4bLvooqLi2XYsMm6d+9O3bp1LflJVpK88Jjo6GiaNm0qa796mQwbtp7Q0FB69+7NwoULcTqdZodzFknywmPK5pj/+OOPOX78uNnh2JZMJ2FNsbGx7Nq1iw0bNpgdylkkyQuPio2N5dixYyxfvtzsUGxLppOwpn79+hEcHGy5ko0keeFRd9xxBw0bNpSSjRelpKRQu3bts9pk2LD5GjVqxO233y5JXthb7dq16du3L4sWLao0DbHwjMTERK6//npq1aolw4YtJjY2lh9++IGff/7Z7FDOkCQvPC4uLo59+/bx9ddfmx2KLf3xxx/k5+fz+OOP43Q6KSgokARvEVa8KVCSvPC43r17U7t2bUu90e1kyZIlnDx5koSEBLNDERVcddVV3HjjjZZ670uSFx7XoEEDunfvzoIFCyy//qU/ys7OpkmTJnTo0MHsUEQVYmNj+fLLL9m/f7/ZoQCS5IWXxMXFsWXLFr+YRdCfHD9+nNzcXFnH2MKsdlOgvEuEV9x9990AMsrGwz799FOOHj0qpRoLK7sp0ColG0nywiuuvPJK2rdvL0new7Kzs2nYsCFdu3Y1OxRRDYfDQf/+/S1zU6AkeeE1sbGxrF+/nh07dpgdii2cOnWKhQsXEhMTU2mcvLCWspsCP/vsM7NDkSQvvCcuLg6AhQsXmhyJPXzxxRf8/vvvUqrxA127dqV+/fqWKNlIkhdec/311xMVFWWJN7odZGdnExoayl133WV2KKIGderUoVWrVkyfPp2goCAiIyNNmyVUkrzwGofDQWxsLCtWrOCPP/6o+QBRLafTSXZ2Nr1796Zu3bpmhyNqkJGRwbfffovT6cQwDAoLC02bDtqlJK+UClNKzVNKrVZKLVVKNa5in1eUUl8rpdYrpR4sbWuklNqvlFpZ+vO4ux0Q1hYXF8fJkydZtmyZ2aH4te+//54dO3YQHx9vdijiPCQnJ3PixImz2syaDtrVK/mHgY1a69uBGcD48huVUt2Aa7XWHYHOwNNKqYuBtsBMrXXX0p9pbsQu/ED79u257LLLZJSNm5YvX05wcDAxMTFmhyLOg5Wmg3Y1yXcGyi7NcoE7K2z/GhhV+rsBBAMngWigrVJqlVJqjlLqChfPL/xEcHAw/fv3Z+nSpZWubMT5MQyD5cuX061bNxo1amR2OOI8WGk66BqTvFLqAaXU9+V/gIZAWZH1cOnjM7TWRVrrA0qpECANSNVaHwE2AxO01ncAC4A3PdkZYU2xsbEcOnSIlStXmh2KX8rPz6egoEBKNX4kJSWF8PDws9rMmg66Vk07aK0/AD4o36aUmg/UL31YHzhY8bjS8sxcYKXWenJp8wqgbN2ybOCFqs7p6q3wRUVFAXcbvT/0uWnTpoSFhfHhhx/SvHlzt5/PH/rsSe+++y4ArVq1Cqh++/Pr3LZtW5577jmmTp3Krl27CA4OZsKECbRt2/acffJGn2tM8tVYA/QF1gF9gNXlNyqlwoDPgFe11uW/Tn4fmAfMBnoAeVU9ecuWLV0KKj8/3+Vj/ZW/9Llv376sXr0apZTbc674S589Zc2aNbRp0ybg7nL199e5ZcuWPPXUU6SmpvLQQw9x11131dgfd/qcl1dlOnW5Jv8voLVS6ksgCXgeQCn1slLqVuD/gKuBB8uNpLkKGAc8rJRaWbqPjK4JEI0bN2bHjh3UqlXL1DHD/qawsJC8vDzuvLPi117CX8THxxMcHMzs2bNNOb9LV/Ja62PAvVW0jy39dR0wtZrDu7lyTuG/MjIySEtLAzhrzDAgi13UoGxUUo8ePUyORLiqcePGdO/endmzZzNx4kQcDodPzy83QwmvS05OrjRRk1ljhv1NdnY2N9xwA5GRkWaHItxw7733smXLFr777jufn1uSvPA6K40Z9if79u1j9erVMqrGBsws2UiSF15npTHD/mThwoU4nU6ZkMwGLr30Unr06MHs2bN9vlqaJHnhdVYaM+xP5s+fT2RkJG3atDE7FOEBAwcO5Oeff+a///2vT88rSV54XWJiIqmpqURERJxpGzt2rHzpeg6HDh1i+fLlxMfH+/yLOuEdcXFxppRsJMkLn0hMTKSgoIA//viDOnXqcODAAbNDsrTc3FxOnDghpRobueSSS7jzzjt9XrKRJC98qkGDBvTr14+srCxOnz5tdjiWNX/+fC677DI6duxodijCgwYOHMgvv/zCf/7zH5+dU5K88LnBgweze/duVq1aZXYollRUVMTSpUuJjY0lODjY7HCEB8XFxVGrVi3mzJnjs3NKkhc+FxMTQ7169Zg5c6bZoVhORkYGLVq04MiRI+Tk5MidwTbTqFEjn5dsJMkLnwsLCyMuLo558+bJ9MPlZGRkkJSUxL59+wDYu3evaasJCe8ZOHAgv/76a7VzzXiaJHlhiiFDhnDgwAE++eQTs0OxjOTkZI4dO3ZWm9wZbD+xsbE+LdlIkhem6NmzJ5dccomUbMqRO4MDQ6NGjejZs6fPSjaS5IUpQkJCuOeee8jJyal09Rqo5M7gwDFw4EAKCgrYsGGD188lSV6YZvDgwRw9epRFixaZHYoljB8/vlKb3BlsT7GxsYSEhPjkxihJ8sI0t99+O1deeaWUbEqVLabSpEkTHA4HERERpKamyp3BNnTxxRfTs2dP5syZ4/WSjSR5YZrg4GAGDRpEbm4uBw9WWkEy4KSlpREVFcXOnTtxOp0UFBRIgrexgQMHUlhYyPr16716HknywlRDhgzhxIkTzJ8/3+xQTPXrr7/yxRdfMHz4cJmrJkD4qmTj0spQpWu4pgOXAYeB4VrrfRX2WQhcApwEjmut+yilrgU+Agzge+ARrbXT9fCFv7vlllu45pprmDVrFqNGjTI7HNPMmDEDh8PBsGHDzA5F+MhFF11Er169mDNnDq+88orX/ri7eiX/MLBRa307MAOo/I0RXAt01lp31Vr3KW17DRhfepwDiHXx/MImHA4HgwcP5rPPPmPPnj1mh2MKp9NJWloa3bt3p3nz5maHI3xo4MCBbN26lXXr1nntHK4m+c7AstLfc4GzVhlWSl0OXAQsUkp9qZSKKd0UDayq7jgRmIYMGYLT6fTpfB5W8uWXX/Lrr78yfPhws0MRPta/f39q167t1ZJNjeUapdQDwJgKzXuAP0p/Pww0rLC9NvAqMA1oBKxRSq0DHFpr4xzHAZCfn39ewVdUVFTk8rH+yg59DgoKIioqiunTp5/XgtV26HN506ZNIzw8nFatWlXbL7v1+XwESp9vu+02MjMzeeCBByguLvZ4n2tM8lrrD4APyrcppeYD9Usf1gcqDo3YDbyjtT4F7FVKfQsooHz9varjAGjZsuV5BV9Rfn6+y8f6K7v0ecSIETzzzDOEh4eftbhIVezSZyiZtuDTTz9l4MCBREdHV7ufnfp8vgKlz6NGjeL+++/n0KFDNGzY0OU+VzcXjqvlmjVA39Lf+wCrK2y/E5gNoJSqB9wA5APfKqW6nuM4EaAGDx4MwKxZs0yOxLeys7M5fPiwlGoCWP/+/QkODqZXr160bt2ayMhIj05K52qS/xfQWin1JZAEPA+glHpZKXWr1joX+EkptRb4BHhGa70f+BvwvFLqa0pKOnPd7oGwhauuuooOHToE3I1RaWlpREZG0qVLF7NDESZZvHgxAIcPH8YwDAoLCz06+6hLQyi11seAe6toH1vu9yeq2P4jcIcr5xT2N3jwYJ544omA+Zi+fft2li9fzj/+8Y8zd7uKwJOcnFxplbSy2Uc9cTOcvLOEZQwcOJCgoKCAKdmkp6djGAb333+/2aEIE3l79lFJ8sIyrrjiCrp27crMmTN9utCxGQzDIC0tjc6dO3PNNdeYHY4wkbdnH5UkLyxlyJAh/PTTTz5d6NgM69atY/PmzfKFqyAlJYXw8PCz2jw5+6gkeWEpCQkJBAUF0a1bN4KCgjw+0sAq0tLSCA0N5d57K321JQJMYmIiqampREREeGX2UZe+eBXCW3Jzc3E4HBw+fBjgzEgDwDYzMhYXFzNr1izi4+Np2LDK+wFFgElMTCQxMdErgw7kSl5YyrlGGtjFokWLOHDggJRqhE9IkheWEgjrnKalpXHllVdy550ydZPwPknywlLsvs7pnj17yM3N5b777iM4ONjscEQAkCQvLMXbIw3MlpmZyenTp6VUI3xGkrywlPIjDaBkvvnXXnvNNl+6pqWl0a5dO1q1amV2KCJASJIXlpOYmEhBQQHff/89hmGwb9++mg/yA//973/57rvv5Cpe+JQkeWFZrVu3pm/fvrz55psUFRWZHY7b0tLSCAkJOTPjphC+IEleWNqTTz7J3r17SU9PNzsUl2VkZBAREcHrr79OrVq1WLZsWc0HCeEhkuSFpXXt2pW2bdvy6quv4nT635rvGRkZJCUlnRkCevz4cY9OIytETSTJC0tzOBw8+eSTbN68maVLl5odzgVLTk7m2LFjZ7XZ7eYuYW2S5IXl3XPPPbRo0YIpU6aYHcoFC4Sbu4S1SZIXlhcSEsITTzzBqlWrWL9+vdnhXJDmzZtX2W6Xm7uE9bk0QZlSKgxIBy4DDgPDtdb7ym3vDYwrfegAOlOyzmsYsAj4qXTbv7TWWa6FLgLJ6NGjef7555kyZQrPPfec2eGct6FDh/Liiy+e1Wanm7uE9bl6Jf8wsFFrfTswAxhffqPWepnWuqvWuiuwGHhJa50PtAVeK9smCV6cr/r16/PQQw8xd+5ctm/fbnY458UwDFasWEGjRo1o0aKFV6aRFaImrib5zkDZOLBcoMqZlpRSzYBhlC70DUQD/ZRSXyilPlBK1Xfx/CIAPfbYYwQHBzNjxgyzQzkvixYtYt26dbz88ssUFhbidDopKCiQBC98qsZyjVLqAWBMheY9wB+lvx8GqpsU+6/AVK11cenjdcD7Wus8pVQyMAF4suJB+fn55xF6ZUVFRS4f668Crc/9+vVj3rx5/PnPf+aiiy4yO5xqOZ1OnnrqKSIiIrj11lvdfo0C7XUG6bOn1JjktdYfAB+Ub1NKzQfKrsLrAwcrHqeUCgJigPJjxbK11mX7ZgNvVnVOVyfN98aE+1YXaH1+4YUXWLBgAStXruTvf/+72eFUa+bMmfz4449kZmZy4403uv18gfY6g/T5QuXl5VXZ7mq5Zg3Qt/T3PsDqKva5AdistT5eru1jpdStpb/3AKqOSohq3HjjjXTu3Jk33niD4uLimg8wwcmTJ3n22We58cYbGTRokNnhiADnapL/F9BaKfUlkERpzV0p9XK5JK6AXyoc9zDwulJqJdAJmOji+UUAGzFiBLt37yYzM9PsUKqUlpbGli1bmDhxIkFBMkpZmMulIZRa62NApRWItdZjy/0+B5hTYft/gNtcOacQZTp27EibNm2YMmUKI0aMwOFwmB3SGUVFRbzwwgu0b9+eu+++2+xwhJCboYT/KZvqYNOmTZab7Ovdd99l27ZtpKSkWOqPjwhckuSFXxo0aBAXXXQR8fHxBAUFERkZafqkX0ePHmXSpEl069aNHj16mBqLEGVcKtcIYbbZs2dz9OhRTp48CUBhYSFJSUkApo1Df+ONN9i7dy8LFiww5fxCVEWu5IVfSk5OPpPgy5g5u+PBgwd5+eWXiYmJoWPHjqbEIERVJMkLv2S12R2nTJnCwYMHmThRBowJa5EkL/xSdbM4mjG74969e3n99dcZNGgQbdq08fn5hTgXSfLCL6WkpBAeHn5Wm8Ph4JlnnvF5LJMnT+b48eM8//zzNe8shI9Jkhd+KTExkdTUVCIiInA4HDRp0gSHw8GCBQt8tkxgRkYGzZo14/XXXycsLIwNGzb45LxCXAhJ8sJvJSYmUlBQgNPpZNeuXbz11lvk5ub65Iq6bO3WHTt2ACXDJ2XtVmFFkuSFbTz00EOMGDGCF154gcWLF3v1XLJ2q/AXkuSFbTgcDt5++23atm3Lfffdx5YtW7x2rsLCwirbZe1WYTWS5IWthIWFMW/ePIKDg4mPj+fo0aMeP8c///nParfJ2q3CaiTJC9uJjIxk1qxZbNq0idGjR2MYhkee1zAMnnvuOf7yl78QHR1daXSPrN0qrEiSvLClnj17MnHiRGbNmsW0adPcfj6n08lf/vIXnn/+eUaOHMnatWvPGt0ja7cKq5IkL2xr3LhxxMfH8+STTzJ+/HgiIyNdmszsxIkT3Hfffbz11ls89dRTfPDBB9SqVeus0T2ydquwKpmgTNiWw+Hgo48+Qil1VhnlQiYzO3r0KPfccw/Lli3jpZdeYuzYsefcXwirkSt5YWsNGjSocl736oY7ZmRknLnib968OTfffDOffPIJ7733niR44ZfcupJXSsUD92qth1ax7UHgIeAUMFFrvVgpdSmQCYQBO4GRpatMCeE1u3fvrrK9sLCQ999/n5tvvpnWrVszf/58kpKSzox/3759OwCPP/44o0eP9lm8QniSy1fySqlpwOSqnkMp1QR4jJJ1XO8CJiul6gDPApla69uBbyn5IyCEV1U3rNHhcPDggw/Srl076tWrx4gRIyrd4ATI/PDCr7lTrvmKkoW5q3IrsEZrXay1/gPYAtwEdAbK1mvLBe504/xCnJeqJjMLDw9nxowZ/PTTT8ydO5fk5GROnTpV5fFyg5PwZzWWa5RSDwBjKjSP1FpnKaW6VnNYA+CPco8PAw0rtJe1VZKfn19TWFUqKipy+Vh/JX2uWdu2bXnuueeYOnUqu3fvpkmTJowZM4bo6GhOnjxJq1ataNWqFe+//z67du2qdHyTJk1M/zeW1zkweKPPNSZ5rfUHwAcX+LyHgPrlHtcHDpZrP16urZKWLVte4OlK5Ofnu3ysv5I+n5+WLVvy1FNPnXOfV1555ayaPJRc8b/yyium/xvL6xwY3OlzXl5ele3eGl2zDrhdKRWqlGoItAS+B9YAfUv36QOs9tL5hbhgFacvlhuchB14dJy8UuqvwBat9UKl1BuUJPEgIFlrXaSUmgiklY682Q9UGpUjhJkSExMlqQtbcSvJa61XAivLPX6t3O/vAe9V2H8P0NudcwohhDh/cjOUEELYmCR5IYSwMUnyQghhY5LkhRDCxhyeWlDBU/Ly8qwVkBBC+Ino6OhKs/FZLskLIYTwHCnXCCGEjUmSF0IIG7PFylBKqSDgbaANUAyM1lpvMTcq71JKhQDTgUigDiVz9i80NSgfUEpdBuQBPbXWm82Ox9uUUn8H+gO1gbdL55KyrdL3dRol7+vTwIN2fp2VUu2Bl7TWXZVS1wIfAQYl08A8orV2unsOu1zJxwGhWuuOwDjgVZPj8YX7gN9K5+bvA/zT5Hi8rjQBvEvJBHe2VzrL622UrMtwB9Dc1IB8oy9QS2t9G/ACkFLD/n5LKTUWeB8ILW16DRhf+v+0A4j1xHnskuTPzFOvtV4L3GJuOD4xB/hHucdVT4ZuL1OAdyhZVSwQ3AVsBLKBRcBic8PxiR+BWqWfzhsAJ02Ox5t+BhLKPY4GVpX+7rH1NuyS5CvOX39aKWWLUlR1tNZHtNaHlVL1gbnAeLNj8ial1Ahgn9b6Y7Nj8aFLKblguRf4PyBDKVV5wVp7OUJJqWYzJXNfvWFqNF6ktZ7H2X/EHFrrsuGO1a63caHskuQrzl8fpLW2/ZWtUqo58Dnwb611ptnxeNkooKdSaiVwMzCjdJlJO/sN+FhrfUJrrYEioLHJMXnbGEr6HEXJd2xpSqnQGo6xi/L192rX27hQdknyZ+apV0p1oOQjrq0ppS4HPgGe1lpPNzseb9Nad9Fa36G17gr8F7hfa131Ct328SXQWynlUEpdCdSlJPHb2QH+/6fy34EQINi8cHzq23Kr7XlsvQ27lDSyKbnK+4qSLyxGmhyPLzwDXAz8QylVVpvvo7UOiC8lA4HWerFSqgsli/AEUTLa4rTJYXnbVGC6Umo1JSOKntFaHzU5Jl/5G/CeUqo2kE9JGdZtcserEELYmF3KNUIIIaogSV4IIWxMkrwQQtiYJHkhhLAxSfJCCGFjkuSFEMLGJMkLIYSNSZIXQggb+3+UxaX4zc+TWwAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -157,9 +149,7 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -201,9 +191,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -233,9 +221,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -273,9 +259,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -345,9 +329,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.6.4" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 }