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Copy pathpyproject.toml
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64 lines (59 loc) · 1.62 KB
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[build-system]
requires = ["setuptools>=69", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "crosslearn"
dynamic = ["version"]
description = "Reusable representation extractors for reinforcement learning across vectors, images, and Chronos-backed time-series windows."
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"numpy>=1.24",
"torch>=2.0",
"gymnasium>=0.28.1",
"stable-baselines3>=2.2.1",
]
keywords = ["reinforcement-learning", "stable-baselines3", "gymnasium", "chronos", "feature-extraction", "time-series"]
classifiers = [
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
[project.urls]
Homepage = "https://github.com/cpohagwu/crosslearn"
Repository = "https://github.com/cpohagwu/crosslearn"
Issues = "https://github.com/cpohagwu/crosslearn/issues"
[project.optional-dependencies]
atari = [
"ale-py>=0.8",
"gymnasium[atari]>=0.28.1",
"gymnasium[accept-rom-license]>=0.28.1",
"gymnasium[other]",
"pygame>=2.1",
]
chronos = [
"transformers>=4.38",
"huggingface-hub>=0.22",
"chronos-forecasting>=2.1.0",
"tqdm>=4.66",
]
dev = [
"pytest>=8.0",
"ruff>=0.5",
"mypy>=1.10",
"build>=1.2",
]
extra = [
"crosslearn[atari,chronos]",
"tensorboard>=2.14",
"wandb>=0.16",
]
[tool.setuptools.packages.find]
where = ["."]
include = ["crosslearn*"]
exclude = ["examples*", "tests*"]
[tool.setuptools.dynamic]
version = {attr = "crosslearn.__version__"}