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setup.py
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setup.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
from setuptools import setup, find_packages
def get_version() -> str:
# https://packaging.python.org/guides/single-sourcing-package-version/
init = open(os.path.join("tianshou", "__init__.py"), "r").read().split()
return init[init.index("__version__") + 2][1:-1]
setup(
name="tianshou",
version=get_version(),
description="A Library for Deep Reinforcement Learning",
long_description=open("README.md", encoding="utf8").read(),
long_description_content_type="text/markdown",
url="https://github.com/thu-ml/tianshou",
author="TSAIL",
author_email="[email protected]",
license="MIT",
python_requires=">=3.6",
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 :: 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",
],
keywords="reinforcement learning platform pytorch",
packages=find_packages(
exclude=["test", "test.*", "examples", "examples.*", "docs", "docs.*"]
),
install_requires=[
"gym>=0.15.4",
"tqdm",
"numpy",
"tensorboard",
"torch>=1.4.0",
"numba>=0.51.0",
],
extras_require={
"dev": [
"Sphinx",
"sphinx_rtd_theme",
"sphinxcontrib-bibtex",
"flake8",
"pytest",
"pytest-cov",
"ray>=1.0.0",
"mypy",
"pydocstyle",
"doc8",
],
"atari": ["atari_py", "cv2"],
"mujoco": ["mujoco_py"],
"pybullet": ["pybullet"],
},
)