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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
import re
from os import path
here = path.abspath(path.dirname(__file__))
# Get the version string
with open(path.join(here, 'tianshou', '__init__.py')) as f:
version = re.search(r'__version__ = \'(.*?)\'', f.read()).group(1)
setup(
name='tianshou',
version=version,
description='A Library for Deep Reinforcement Learning',
long_description=open('README.md').read(),
long_description_content_type='text/markdown',
url='https://github.com/thu-ml/tianshou',
author='TSAIL',
author_email='trinkle23897@gmail.com',
license='MIT',
python_requires='>=3.6',
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
# 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>=0.15.0',
'tqdm',
'numpy',
'cloudpickle',
'tensorboard',
'torch>=1.4.0',
],
extras_require={
'dev': [
'Sphinx',
'sphinx_rtd_theme',
'sphinxcontrib-bibtex',
'flake8',
'pytest',
'pytest-cov',
],
'atari': [
'atari_py',
'cv2',
],
'mujoco': [
'mujoco_py',
],
},
)
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