The result needs to be tuned after `done` issue fixed. Co-authored-by: n+e <trinkle23897@gmail.com>
74 lines
2.4 KiB
Python
74 lines
2.4 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import os
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from setuptools import setup, find_packages
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def get_version() -> str:
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# https://packaging.python.org/guides/single-sourcing-package-version/
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init = open(os.path.join("tianshou", "__init__.py"), "r").read().split()
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return init[init.index("__version__") + 2][1:-1]
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setup(
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name="tianshou",
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version=get_version(),
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description="A Library for Deep Reinforcement Learning",
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long_description=open("README.md", encoding="utf8").read(),
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long_description_content_type="text/markdown",
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url="https://github.com/thu-ml/tianshou",
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author="TSAIL",
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author_email="trinkle23897@gmail.com",
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license="MIT",
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python_requires=">=3.6",
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classifiers=[
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# How mature is this project? Common values are
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# 3 - Alpha
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# 4 - Beta
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# 5 - Production/Stable
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"Development Status :: 4 - Beta",
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# Indicate who your project is intended for
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"Intended Audience :: Science/Research",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Software Development :: Libraries :: Python Modules",
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# Pick your license as you wish (should match "license" above)
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"License :: OSI Approved :: MIT License",
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# Specify the Python versions you support here. In particular, ensure
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# that you indicate whether you support Python 2, Python 3 or both.
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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],
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keywords="reinforcement learning platform pytorch",
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packages=find_packages(
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exclude=["test", "test.*", "examples", "examples.*", "docs", "docs.*"]
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),
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install_requires=[
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"gym>=0.15.4",
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"tqdm",
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"numpy!=1.16.0", # https://github.com/numpy/numpy/issues/12793
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"tensorboard",
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"torch>=1.4.0",
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"numba>=0.51.0",
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"h5py>=2.10.0", # to match tensorflow's minimal requirements
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],
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extras_require={
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"dev": [
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"Sphinx",
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"sphinx_rtd_theme",
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"sphinxcontrib-bibtex",
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"flake8",
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"pytest",
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"pytest-cov",
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"ray>=1.0.0",
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"mypy",
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"pydocstyle",
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"doc8",
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],
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"atari": ["atari_py", "cv2"],
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"mujoco": ["mujoco_py"],
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"pybullet": ["pybullet"],
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},
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)
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