52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
import itertools
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from setuptools import setup, find_packages
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# Environment-specific dependencies for dmc and metaworld
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extras = {
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"dmc": ["dm_control>=1.0.1"],
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"metaworld": ["metaworld @ git+https://github.com/rlworkgroup/metaworld.git@master#egg=metaworld",
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'mujoco-py<2.2,>=2.1',
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'scipy'
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],
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}
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# All dependencies
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all_groups = set(extras.keys())
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extras["all"] = list(set(itertools.chain.from_iterable(map(lambda group: extras[group], all_groups))))
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setup(
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author='Fabian Otto, Onur Celik',
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name='fancy_gym',
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version='0.2',
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classifiers=[
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'Development Status :: 3 - Alpha',
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'Intended Audience :: Science/Research',
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'License :: OSI Approved :: MIT License',
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'Natural Language :: English',
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'Operating System :: OS Independent',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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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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install_requires=[
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'gym[mujoco]<0.25.0,>=0.24.1',
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'mp_pytorch<=0.1.3'
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],
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packages=[package for package in find_packages() if package.startswith("fancy_gym")],
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package_data={
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"fancy_gym": [
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"envs/mujoco/*/assets/*.xml",
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]
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},
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python_requires=">=3.7",
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url='https://github.com/ALRhub/fancy_gym/',
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license='MIT license',
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author_email='',
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description='Fancy Gym: Unifying interface for various RL benchmarks with support for Black Box approaches.'
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)
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