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setup.py
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setup.py
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from setuptools import find_packages, setup
with open("README.md") as fh:
long_description = ""
header_count = 0
for line in fh:
if line.startswith("##"):
header_count += 1
if header_count < 2:
long_description += line
else:
break
def get_version():
path = "pettingzoo/__init__.py"
with open(path) as file:
lines = file.readlines()
for line in lines:
if line.startswith("__version__"):
return line.strip().split()[-1].strip().strip('"')
raise RuntimeError("bad version data in __init__.py")
extras = {
"atari": ["multi_agent_ale_py==0.1.11", "pygame==2.1.0"],
"classic": [
"chess==1.7.0",
"rlcard==1.0.4",
"pygame==2.1.0",
"hanabi_learning_environment==0.0.4",
],
"butterfly": ["pygame==2.1.0", "pymunk==6.2.0"],
"magent": ["magent==0.2.2"],
"mpe": ["pyglet>=1.4.0"],
"sisl": ["pygame==2.1.0", "box2d-py==2.3.5", "scipy>=1.4.1"],
"other": ["pillow>=8.0.1"],
"tests": ["pynput", "pytest", "codespell", "flake8", "isort"],
}
extras["all"] = (
extras["atari"]
+ extras["classic"]
+ extras["butterfly"]
+ extras["magent"]
+ extras["mpe"]
+ extras["sisl"]
+ extras["other"]
)
setup(
name="PettingZoo",
version=get_version(),
author="Farama Foundation",
author_email="jkterry@farama.org",
description="Gym for multi-agent reinforcement learning",
url="https://github.com/Farama-Foundation/PettingZoo",
long_description=long_description,
long_description_content_type="text/markdown",
keywords=["Reinforcement Learning", "game", "RL", "AI", "gym"],
python_requires=">=3.7, <3.11",
packages=["pettingzoo"]
+ ["pettingzoo." + pkg for pkg in find_packages("pettingzoo")],
include_package_data=True,
install_requires=["numpy>=1.18.0", "gym>=0.21.0"],
classifiers=[
"Development Status :: 5 - Production/Stable",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
],
extras_require=extras,
)