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1 change: 1 addition & 0 deletions .gitignore
Original file line number Diff line number Diff line change
Expand Up @@ -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
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8 changes: 3 additions & 5 deletions CHANGELOG.md
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@@ -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)

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2 changes: 1 addition & 1 deletion arviz/__init__.py
Original file line number Diff line number Diff line change
@@ -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
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36 changes: 18 additions & 18 deletions doc/source/user_guide/Numba.ipynb
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Expand Up @@ -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"
]
}
],
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"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"
]
}
],
Expand All @@ -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"
]
},
{
Expand All @@ -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"
]
}
],
Expand All @@ -154,7 +154,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -171,7 +171,7 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": 9,
"metadata": {},
"outputs": [
{
Expand All @@ -180,7 +180,7 @@
"False"
]
},
"execution_count": 17,
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -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"
]
}
],
Expand All @@ -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"
]
}
],
Expand All @@ -226,7 +226,7 @@
},
{
"cell_type": "code",
"execution_count": 20,
"execution_count": 12,
"metadata": {},
"outputs": [
{
Expand All @@ -235,7 +235,7 @@
"True"
]
},
"execution_count": 20,
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -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"
]
}
],
Expand All @@ -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"
]
}
],
Expand Down Expand Up @@ -310,7 +310,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.7"
"version": "3.10.12"
}
},
"nbformat": 4,
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