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Add Python 3.12 support #25

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merged 3 commits into from
Aug 2, 2024
Merged

Add Python 3.12 support #25

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5261843
add py312 support
younik Aug 2, 2024
2ebaa63
Update README.md
younik Aug 2, 2024
aacbf5d
remove 3.7 support
younik Aug 2, 2024
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4 changes: 2 additions & 2 deletions .github/workflows/build-publish.yml
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Expand Up @@ -20,7 +20,7 @@ jobs:
strategy:
matrix:
os: [macos-latest, windows-latest]
python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]
steps:
- uses: actions/checkout@v3
- name: Set up Python
Expand Down Expand Up @@ -52,7 +52,7 @@ jobs:
- name: Build manylinux Python wheels
uses: RalfG/[email protected]
with:
python-versions: 'cp37-cp37m cp38-cp38 cp39-cp39 cp310-cp310 cp311-cp311'
python-versions: 'cp38-cp38 cp39-cp39 cp310-cp310 cp311-cp311 cp312-cp312'
pip-wheel-args: '-w ./dist --no-deps'
- name: Store
uses: actions/upload-artifact@v3
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -5,7 +5,7 @@
A small CPU image scaling library with SIMD support on x86_64 and Arm (Neon). This project is aimed to replace OpenCV for image resizing, resolving installation inconveniences and compatibility issues. We developed this for future use in Gymnasium and PettingZoo wrappers.

## Installation
You can install from PyPI using `pip install tinyscaler`. Linux and macOS with Python 3.7, 3.8, 3.9, 3.10 and 3.11 are supported.
You can install from PyPI using `pip install tinyscaler`. Linux and macOS with Python >=3.8 are supported.

## Usage
Tinyscaler contains a single external function, `scale` that using a numpy array input for the image and the new resized shape, returns the resized image.
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4 changes: 2 additions & 2 deletions pyproject.toml
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Expand Up @@ -8,19 +8,19 @@ build-backend = "setuptools.build_meta"
name = "tinyscaler"
description = "A tiny, simple image scaler."
readme = "README.md"
requires-python = ">= 3.7, < 3.12"
requires-python = ">= 3.8"
authors = [{ name = "Farama Foundation", email = "[email protected]" }]
license = { text = "MIT License" }
keywords = ["Reinforcement Learning", "Gymnasium", "PettingZoo"]
classifiers = [
"Development Status :: 4 - Beta", # change to `5 - Production/Stable` when ready
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
]
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