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setup.py
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setup.py
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#!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
with open("PYPI_README.rst", encoding="UTF-8") as readme_file:
readme = readme_file.read()
with open("HISTORY.rst", encoding="UTF-8") as history_file:
history = history_file.read()
version = "0.5.4" # pylint: disable=invalid-name
requirements = [
"docker",
"click",
"pyyaml",
"importlib-resources", # backport of importlib.resources, required for Python<=3.8
"loguru",
]
# The extended requirements are only used inside experiment/gym containers
extended_requirements = [
"gym",
"wandb",
]
rllib_requirements = [
"ray[rllib]<=2.1.0", # see https://github.com/ray-project/ray/pull/31331
"numpy<1.24.0", # see https://github.com/ray-project/ray/issues/31293
"torch",
"gym",
"wandb",
]
setup(
author="Beobench authors",
python_requires=">=3.6",
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
],
description="Beobench is a toolkit providing easy and unified access to building control environments for reinforcement learning (RL).", # pylint: disable=line-too-long
install_requires=requirements,
extras_require={
"extended": extended_requirements,
"rllib": rllib_requirements,
},
license="MIT license",
long_description=readme + "\n\n" + history,
include_package_data=True,
keywords="beobench",
name="beobench",
packages=find_packages(include=["beobench", "beobench.*"]),
entry_points={
"console_scripts": [
"beobench = beobench.cli:cli",
],
},
test_suite="tests",
project_urls={
"Documentation": "https://beobench.readthedocs.io/",
"Code": "https://github.com/rdnfn/beobench",
"Issue tracker": "https://github.com/rdnfn/beobench/issues",
},
zip_safe=False,
version=version,
)