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pyproject.toml
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pyproject.toml
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[build-system]
requires=["setuptools>=62.6"]
build-backend="setuptools.build_meta"
[tool.setuptools.packages.find]
include=['mava*']
[project]
name="id-mava"
authors=[{name="InstaDeep Ltd"}]
dynamic=["version", "dependencies", "optional-dependencies"]
license={file="LICENSE"}
description="Distributed Multi-Agent Reinforcement Learning in JAX."
readme ="README.md"
requires-python=">=3.10"
keywords=["multi-agent", "reinforcement learning", "python", "jax", "anakin", "sebulba"]
classifiers=[
"Environment :: Console",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
"License :: OSI Approved :: Apache Software License",
]
[tool.setuptools.dynamic]
version={attr="mava.__version__"}
dependencies={file="requirements/requirements.txt"}
optional-dependencies={dev={file=["requirements/requirements-dev.txt"]}}
[project.urls]
"Homepage"="https://github.com/instadeep/Mava"
"Bug Tracker"="https://github.com/instadeep/Mava/issues"
[tool.mypy]
python_version="3.10"
warn_redundant_casts=true
disallow_untyped_defs=true
strict_equality=true
follow_imports="skip"
ignore_missing_imports=true
[tool.ruff]
line-length=100
[tool.ruff.lint]
select=["A", "B", "E", "F", "I", "N", "W", "RUF", "ANN"]
ignore=[
"E731", # Allow lambdas to be assigned to variables.
"ANN101", # no need to type self
"ANN102", # no need to type cls
"ANN204", # no need for return type for special methods
"ANN401", # can use Any type
]
[tool.ruff.lint.pep8-naming]
ignore-names = ["?"]