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Blacken the codebase (#2265)

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Christian Clauss
2021-07-29 02:26:34 +02:00
committed by GitHub
parent 2f3133461c
commit bb81e141ea
162 changed files with 5503 additions and 3338 deletions
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109
setup.py
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@@ -1,58 +1,71 @@
from setuptools import setup, find_packages
import sys, os.path
import os.path
import sys
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'))
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "gym"))
from version import VERSION
# Environment-specific dependencies.
extras = {
'atari': ['atari-py==0.2.6', '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'],
"atari": ["atari-py==0.2.6", "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>=1.18.0',
'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',
],
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>=1.18.0",
"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",
],
)