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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["setuptools>=67.0"]
build-backend = "setuptools.build_meta"
[project]
name = "mpcrl"
authors = [
{ name="Filippo Airaldi", email="[email protected]" },
]
description = "Reinforcement Learning with Model Predictive Control"
readme = "README.md"
requires-python = ">=3.9"
license = { text = "MIT" }
classifiers = [
"Programming Language :: Python",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"typing_extensions >= 4.5.0 ; python_version <= '3.9'",
"numba >= 0.57.1",
"csnlp >= 1.6.3",
"scipy >= 1.11.0",
"gymnasium >= 0.28.1",
]
keywords = [
"reinforcement-learning",
"model-predictive-control",
"optimization",
"casadi",
]
dynamic = ["version"]
[project.urls]
"Homepage" = "https://github.com/FilippoAiraldi/mpc-reinforcement-learning"
"Bug Tracker" = "https://github.com/FilippoAiraldi/mpc-reinforcement-learning/issues"
[tool.setuptools]
license-files = ["LICENSE"]
[tool.setuptools.dynamic]
version = {attr = "mpcrl.__version__"}
[tool.black]
target-version = ["py39", "py310", "py311"]
color = true
[tool.isort]
profile = "black"
py_version = 39
[tool.mypy]
python_version = "3.9"
plugins = ["numpy.typing.mypy_plugin"]
exclude = ["tests"]
[[tool.mypy.overrides]]
module = [
"casadi.*",
"csnlp.*",
"matplotlib.*",
"parameterized.*",
"scipy.*",
"mpcrl.*",
]
ignore_missing_imports = true
[tool.coverage.run]
branch = true
omit = [
"tests/*",
"examples/*",
"*/csnlp/*",
]
[tool.coverage.report]
exclude_also = [
"def __repr__",
"def __str__",
"raise AssertionError",
"raise NotImplementedError",
"if __name__ == .__main__.:",
"@(abc\\.)?abstractmethod",
]
sort = "miss"