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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", "Pillow", "opencv-python"],
"box2d": ["box2d-py~=2.3.5"],
"classic_control": [],
"mujoco": ["mujoco_py>=1.50, <2.1", "imageio"],
"robotics": ["mujoco_py>=1.50, <2.1", "imageio"],
}
# Meta dependency groups.
all_deps = []
for group_name in extras:
all_deps += extras[group_name]
extras["all"] = all_deps
setup(
name="gym",
version="0.17.2",
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",
"six",
"pyglet>=1.2.0,<=1.3.2",
"cloudpickle~=1.2.0",
'enum34~=1.1.6;python_version<"3.4"',
],
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=">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*",
classifiers=[
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
],
)