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45 lines (40 loc) · 1.42 KB
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[build-system]
requires = ["setuptools>=68.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "lpsim"
version = "2.0.0"
description = "GPU-accelerated multi-GPU simulator for large-scale network flow: LLM + RL interfaces for fleet optimization"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.8"
authors = [
{name = "Xuan Jiang", email = "xuanjiang@berkeley.edu"},
]
keywords = ["traffic-simulation", "gpu", "cuda", "reinforcement-learning", "llm", "multi-gpu", "ride-hailing"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Physics",
]
dependencies = [
"numpy>=1.22",
"gymnasium>=0.26",
]
[project.optional-dependencies]
dev = ["pytest", "black", "ruff", "networkx>=3.1"]
network = ["networkx>=3.1", "osmnx>=2.0,<3"]
tools = ["matplotlib", "pandas", "seaborn"]
[project.urls]
Homepage = "https://github.com/Xuan-1998/LPSim"
Documentation = "https://xuan-1998.github.io/LPSim/"
Issues = "https://github.com/Xuan-1998/LPSim/issues"
[project.scripts]
lpsim-demand = "tools.generate_demand:main"
lpsim-network = "tools.generate_network:main"
lpsim-partition = "tools.partition_network:main"
[tool.setuptools.packages.find]
include = ["lpsim_env*", "tools*"]