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setup.py
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setup.py
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from os import path
import re
import setuptools
root = path.abspath(path.dirname(__file__))
with open(path.join(root, "machin", "__init__.py")) as f:
version = re.search(r"__version__ = \"(.*?)\"", f.read()).group(1)
with open("README.md", mode="r", encoding="utf8") as desc:
long_description = desc.read()
setuptools.setup(
name="machin",
version=version,
description="Reinforcement learning library",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/iffiX/machin",
author="Iffi",
author_email="[email protected]",
license="MIT",
python_requires=">=3.5",
packages=setuptools.find_packages(
exclude=[
"test",
"test.*",
"test_lib",
"test_lib.*",
"examples",
"examples.*",
"docs",
"docs.*",
]
),
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
"Development Status :: 4 - Beta",
# Indicate who your project is intended for
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
# Pick your license as you wish (should match "license" above)
"License :: OSI Approved :: MIT License",
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
],
install_requires=[
"gym",
"psutil",
"numpy",
"torch>=1.6.0",
"pytorch-lightning>=1.2.0",
"torchviz",
"moviepy",
"matplotlib",
"colorlog",
"dill",
"GPUtil",
"Pillow",
"tensorboardX",
],
)