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pyproject.toml
pyproject.toml 1.75 KiB
[build-system]
requires = ["setuptools>=65.5.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "gymcts"
version = "1.2.1"
description = "A minimalistic implementation of the Monte Carlo Tree Search algorithm for planning problems fomulated as gymnaisum reinforcement learning environments."
readme = "README.md"
authors = [{ name = "Alexander Nasuta", email = "alexander.nasuta@wzl-iqs.rwth-aachen.de" }]
license = { file = "LICENSE" }
classifiers = [
"License :: OSI Approved :: MIT License",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
]
keywords = []
dependencies = [
"rich",
"numpy",
"gymnasium",
"matplotlib<3.9",
]
requires-python = ">=3.11"
[project.optional-dependencies]
examples = [
"jsp-instance-utils",
"graph-matrix-jsp-env",
"graph-jsp-env",
]
dev = [
"jsp-instance-utils",
"graph-matrix-jsp-env>=0.3.0",
"graph-jsp-env",
"JSSEnv",
"pip-tools",
"pytest",
"pytest-cov",
# fotmating and type hinting
"mypy",
"flake8",
# for gym env testing -> env_checker
"stable_baselines3",
# for docs with sphinx
"sphinx",
"myst-parser", # .md support for sphinx
"sphinx-autobuild",
#
"sphinx-copybutton", # for code copy buttons
"furo", # cool theme
"twine",
"sphinx-copybutton", # for code copy buttons
"nbsphinx", # for jupyter notebook support in sphinx
"pandoc",
"jupytext", # converting .py examples to jupyter notebook jupytext --to notebook *.py
"jupyter", # for jupyter notebook kernel
"typing_extensions>=4.12.0",
]
[project.urls]
Homepage = "https://github.com/Alexander-Nasuta/gymcts"
[tool.pytest.ini_options]
addopts = "--cov=gymcts -p no:warnings"
testpaths = [
"tests",
]