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setup.py
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setup.py
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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='[email protected]',
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,<=1.5.15',
'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',
],
)