mirror of
https://github.com/Farama-Foundation/Gymnasium.git
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104 lines
3.3 KiB
Python
104 lines
3.3 KiB
Python
"""Setups the project."""
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import itertools
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from setuptools import find_packages, setup
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def get_description():
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"""Gets the description from the readme."""
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with open("README.md") as file:
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long_description = ""
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header_count = 0
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for line in file:
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if line.startswith("##"):
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header_count += 1
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if header_count < 2:
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long_description += line
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else:
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break
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return header_count, long_description
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def get_version():
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"""Gets the gymnasium version."""
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path = "gymnasium/__init__.py"
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with open(path) as file:
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lines = file.readlines()
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for line in lines:
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if line.startswith("__version__"):
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return line.strip().split()[-1].strip().strip('"')
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raise RuntimeError("bad version data in __init__.py")
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# Environment-specific dependencies.
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extras = {
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"atari": ["ale-py~=0.8.0"],
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"accept-rom-license": ["autorom[accept-rom-license]~=0.4.2"],
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"box2d": ["box2d-py==2.3.5", "pygame==2.1.0", "swig==4.*"],
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"classic_control": ["pygame==2.1.0"],
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"mujoco_py": ["mujoco_py<2.2,>=2.1"],
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"mujoco": ["mujoco==2.2", "imageio>=2.14.1"],
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"toy_text": ["pygame==2.1.0"],
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"other": ["lz4>=3.1.0", "opencv-python>=3.0", "matplotlib>=3.0", "moviepy>=1.0.0"],
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}
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# Testing dependency groups.
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testing_group = set(extras.keys()) - {"accept-rom-license", "atari"}
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extras["testing"] = list(
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set(itertools.chain.from_iterable(map(lambda group: extras[group], testing_group)))
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) + ["pytest==7.1.3", "gym==0.26.2"]
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# All dependency groups - accept rom license as requires user to run
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all_groups = set(extras.keys()) - {"accept-rom-license"}
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extras["all"] = list(
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set(itertools.chain.from_iterable(map(lambda group: extras[group], all_groups)))
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)
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version = get_version()
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header_count, long_description = get_description()
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setup(
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name="Gymnasium",
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version=version,
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author="Farama Foundation",
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author_email="contact@farama.org",
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description="A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)",
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url="https://gymnasium.farama.org/",
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license="MIT",
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license_files=("LICENSE",),
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long_description=long_description,
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long_description_content_type="text/markdown",
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keywords=["Reinforcement Learning", "game", "RL", "AI", "gymnasium"],
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python_requires=">=3.7",
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tests_require=extras["testing"],
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packages=[
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package for package in find_packages() if package.startswith("gymnasium")
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],
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package_data={
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"gymnasium": [
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"envs/mujoco/assets/*.xml",
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"envs/classic_control/assets/*.png",
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"envs/toy_text/font/*.ttf",
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"envs/toy_text/img/*.png",
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"py.typed",
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]
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},
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include_package_data=True,
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install_requires=[
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"numpy >= 1.18.0",
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"cloudpickle >= 1.2.0",
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"importlib_metadata >= 4.8.0; python_version < '3.10'",
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"gymnasium_notices >= 0.0.1",
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],
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classifiers=[
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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],
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extras_require=extras,
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zip_safe=False,
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)
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