From f1b5c9017ed90e18e9c62c1c37af39f01f9eefc7 Mon Sep 17 00:00:00 2001
From: "Oriol (ZBook)" <oriol.abril.pla@gmail.com>
Date: Tue, 18 Jul 2023 14:43:45 +0200
Subject: [PATCH] prepare patch release

---
 .gitignore                        |  1 +
 CHANGELOG.md                      |  8 +++----
 arviz/__init__.py                 |  2 +-
 doc/source/user_guide/Numba.ipynb | 36 +++++++++++++++----------------
 4 files changed, 23 insertions(+), 24 deletions(-)

diff --git a/.gitignore b/.gitignore
index f0a963594b..6f6403424a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -26,6 +26,7 @@ var/
 .installed.cfg
 *.egg
 .ipynb_checkpoints
+.virtual_documents
 
 # PyInstaller
 #  Usually these files are written by a python script from a template
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 55db12eb4f..f2751f66e1 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,14 +1,12 @@
 # Change Log
 
-## v0.x.x Unreleased
-
-### New features
+## v0.16.1 (2023 Jul 18)
 
 ### Maintenance and fixes
-
-### Deprecation
+- Fix Numba deprecation errors and incorrect nopython usage ([2268](https://github.com/arviz-devs/arviz/pull/2268))
 
 ### Documentation
+- Rerun Numba notebook
 
 ## v0.16.0 (2023 Jul 13)
 
diff --git a/arviz/__init__.py b/arviz/__init__.py
index 75c7360ad0..0a758be01d 100644
--- a/arviz/__init__.py
+++ b/arviz/__init__.py
@@ -1,6 +1,6 @@
 # pylint: disable=wildcard-import,invalid-name,wrong-import-position
 """ArviZ is a library for exploratory analysis of Bayesian models."""
-__version__ = "0.17.0.dev0"
+__version__ = "0.16.1"
 
 import logging
 import os
diff --git a/doc/source/user_guide/Numba.ipynb b/doc/source/user_guide/Numba.ipynb
index 92a04965bf..d8ced1cda9 100644
--- a/doc/source/user_guide/Numba.ipynb
+++ b/doc/source/user_guide/Numba.ipynb
@@ -71,7 +71,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2.61 s ± 569 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+      "140 ms ± 2.59 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
      ]
     }
    ],
@@ -105,7 +105,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1.54 ms ± 383 µs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+      "1.03 ms ± 44.3 µs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
      ]
     }
    ],
@@ -117,7 +117,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "That is almost 300 times faster!! Let's compare this to NumPy"
+    "That is almost 150 times faster!! Let's compare this to NumPy"
    ]
   },
   {
@@ -129,7 +129,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "8.68 ms ± 435 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
+      "1.79 ms ± 124 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
      ]
     }
    ],
@@ -154,7 +154,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -171,7 +171,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -180,7 +180,7 @@
        "False"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -192,14 +192,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "182 ms ± 66.3 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+      "57.8 ms ± 1.02 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
      ]
     }
    ],
@@ -209,14 +209,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "10.4 ms ± 2.97 ms per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
+      "462 µs ± 16.8 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n"
      ]
     }
    ],
@@ -226,7 +226,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -235,7 +235,7 @@
        "True"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -247,14 +247,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "19.9 ms ± 1.37 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+      "7.18 ms ± 359 µs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
      ]
     }
    ],
@@ -264,14 +264,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "3.97 ms ± 574 µs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+      "359 µs ± 62.7 µs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
      ]
     }
    ],
@@ -310,7 +310,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,