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setup.py
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52 lines (51 loc) · 1.69 KB
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from setuptools import setup, find_packages
setup(
name="distributed-consensus-gym",
version="0.1.0",
author="Juan Flores",
description="Multi-agent reinforcement learning environment for distributed consensus protocols",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
url="https://github.com/juanf-0gravity/distributed-consensus-gym",
packages=find_packages(),
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: System :: Distributed Computing",
],
python_requires=">=3.7",
install_requires=[
"gym>=0.18.0",
"numpy>=1.19.0",
"networkx>=2.5",
"matplotlib>=3.3.0",
"pettingzoo>=1.8.0",
"ray[rllib]>=1.4.0",
"scipy>=1.5.0",
"seaborn>=0.11.0",
"tqdm>=4.60.0",
],
extras_require={
"dev": [
"pytest>=6.0",
"black>=21.0.0",
"flake8>=3.8.0",
"mypy>=0.812",
],
},
entry_points={
"console_scripts": [
"consensus-train=consensus_gym.scripts.train:main",
"consensus-eval=consensus_gym.scripts.evaluate:main",
"consensus-viz=consensus_gym.scripts.visualize:main",
],
},
)