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setup.py
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setup.py
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import os.path
import sys
import itertools
from setuptools import find_packages, setup
# 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": ["ale-py~=0.7.1"],
"accept-rom-license": ["autorom[accept-rom-license]~=0.4.2"],
"box2d": ["box2d-py==2.3.5", "pyglet>=1.4.0"],
"classic_control": ["pyglet>=1.4.0"],
"mujoco": ["mujoco_py>=1.50, <2.0"],
"toy_text": ["scipy>=1.4.1"],
"other": ["lz4>=3.1.0", "opencv-python>=3.0"],
}
# Meta dependency groups.
nomujoco_blacklist = set(["mujoco", "accept-rom-license", "atari"])
nomujoco_groups = set(extras.keys()) - nomujoco_blacklist
extras["nomujoco"] = list(
itertools.chain.from_iterable(map(lambda group: extras[group], nomujoco_groups))
)
all_blacklist = set(["accept-rom-license"])
all_groups = set(extras.keys()) - all_blacklist
extras["all"] = list(
itertools.chain.from_iterable(map(lambda group: extras[group], all_groups))
)
setup(
name="gym",
version=VERSION,
description="Gym: A universal API for reinforcement learning environments.",
url="https://github.com/openai/gym",
author="Gym Community",
author_email="jkterry@umd.edu",
license="",
packages=[package for package in find_packages() if package.startswith("gym")],
zip_safe=False,
install_requires=[
"numpy>=1.18.0",
"cloudpickle>=1.2.0",
"importlib_metadata>=4.10.0; python_version < '3.10'",
],
extras_require=extras,
package_data={
"gym": [
"envs/mujoco/assets/*.xml",
"envs/classic_control/assets/*.png",
]
},
tests_require=["pytest", "mock"],
python_requires=">=3.7",
classifiers=[
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
],
)