alf/pyproject.toml at main · m9h/alf · GitHub

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[build-system]
requires = ["setuptools>=68.0"]
build-backend = "setuptools.build_meta"

[project]
name = "alf-aif"
version = "0.1.0"
description = "Active inference/Learning Framework — standalone JAX-native active inference"
readme = "README.md"
license = "Apache-2.0"
requires-python = ">=3.10"
authors = [
    {name = "Morgan Hough"},
]
keywords = ["active-inference", "free-energy-principle", "jax", "bayesian", "POMDP"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Science/Research",
    "Programming Language :: Python :: 3",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
    "jax>=0.5.0",
    "jaxlib>=0.5.0",
    "numpy>=1.24",
]

[project.optional-dependencies]
pymdp = ["inferactively-pymdp>=1.0.0"]
learning = ["optax>=0.1.7"]
metacognition = ["numpyro>=0.13.0", "scipy>=1.10"]
ddm = ["scipy>=1.10"]
normative = ["scipy>=1.10"]
all = ["alf-aif[pymdp,learning,metacognition,ddm,normative]"]
test = ["pytest>=7.0", "pytest-xdist", "scipy>=1.10"]
dev = ["alf-aif[all,test]", "ruff", "mypy"]

[project.urls]
Homepage = "https://github.com/m9h/alf"
Repository = "https://github.com/m9h/alf"

[tool.setuptools.packages.find]
include = ["alf*"]

[tool.pytest.ini_options]
testpaths = ["alf/tests"]
addopts = "-v --tb=short"

[tool.ruff]
line-length = 88
target-version = "py310"