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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==0.0.1"],
"butterfly": ["pygame==2.1.0", "pymunk==6.2.0"],
"magent": ["magent==0.1.14"],
"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"],
}
extras["all"] = extras["atari"] + extras["classic"] + extras["butterfly"] + extras["magent"] + extras["mpe"] + extras["sisl"] + extras["other"]
setup(
name='PettingZoo',
version=get_version(),
author='PettingZoo Community',
author_email="[email protected]",
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,
)