from setuptools import setup, find_packages import sys, os.path # Don't import gym module here, since deps may not be installed sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'gym')) from version import VERSION # Environment-specific dependencies. extras = { 'atari': ['atari_py~=0.2.0', 'opencv-python>=3.'], 'box2d': ['box2d-py~=2.3.5'], 'classic_control': [], 'mujoco': ['mujoco_py>=1.50, <2.0', 'imageio'], 'robotics': ['mujoco_py>=1.50, <2.0', 'imageio'], } # Meta dependency groups. extras['nomujoco'] = list(set([item for name, group in extras.items() if name != 'mujoco' and name != "robotics" for item in group])) extras['all'] = list(set([item for group in extras.values() for item in group])) setup(name='gym', version=VERSION, description='The OpenAI Gym: A toolkit for developing and comparing your reinforcement learning agents.', url='https://github.com/openai/gym', author='OpenAI', author_email='gym@openai.com', license='', packages=[package for package in find_packages() if package.startswith('gym')], zip_safe=False, install_requires=[ 'scipy', 'numpy>=1.10.4', 'pyglet>=1.4.0', 'Pillow<=8.2.0', 'cloudpickle>=1.2.0,<1.7.0', ], extras_require=extras, package_data={'gym': [ 'envs/mujoco/assets/*.xml', 'envs/classic_control/assets/*.png', 'envs/robotics/assets/LICENSE.md', 'envs/robotics/assets/fetch/*.xml', 'envs/robotics/assets/hand/*.xml', 'envs/robotics/assets/stls/fetch/*.stl', 'envs/robotics/assets/stls/hand/*.stl', 'envs/robotics/assets/textures/*.png'] }, tests_require=['pytest', 'mock'], python_requires='>=3.6', classifiers=[ 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.7', 'Programming Language :: Python :: 3.8', 'Programming Language :: Python :: 3.9', ], )