affinis/pyproject.toml at main · rtbs-dev/affinis · GitHub

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[project]
name = "affinis"
version = "0.8.2"
description = "Tools for inferring relations from binary co-occurrence data"
authors = [{ name = "Rachael Sexton", email = "rtbs@nist.gov" }]
requires-python = ">=3.11"
maintainers = [{ name = "Rachael Sexton", email = "gh@rtbs.dev" }]
keywords = [
    "network analysis",
    "sparse matrix",
    "covariance shrinkage",
    "binary data",
    "structure learning",
    "edge prediction",
    "filtering",
    "feature learning",
    "multi-label",
    "graph theory",
    "scientific-software",
    "tools",
]
dependencies = [
    "scipy~=1.10",
    "sparse~=0.15",
    "jaxtyping~=0.3",
    "plum-dispatch~=2.6",
    "contingency-tools~=0.2",
    "makefun>=1.16.0",
    "joblib>=1.6.0",
]

[project.urls]
source = "https://github.com/usnistgov/affinis"
documentation = "https://pages.nist.gov/affinis"
homepage = "https://data.nist.gov/od/id/mds2-4107"

[dependency-groups]
dev = [
  "ipykernel~=7.3",
  "black~=23.3.0",
  "ruff~=0.1",
  "pytest~=8.3.3",
  "toolz~=0.12.0",
  "hypothesis~=6.151.5",
  "seaborn>=0.13",
  "asv>=0.6.6",
]

docs = [
    "pydlc~=0.2",
    "netgraph~=4.12",
    "pyvis~=0.3",
    "scikit-learn == 1.*",
    "pandas >=1.5",
    "networkx >=3",
    "zensical >=0.0",
    "mkdocstrings[python]~=1.0",
]

[tool.pytest.ini_options]
addopts = "--jaxtyping-packages=associations,priors,beartype.beartype"


[build-system]
requires = ["uv_build>=0.11,<0.12"]
build-backend = "uv_build"