pyproject.toml

[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "torchgw"
version = "0.4.2"
description = "Fast Sampled Gromov-Wasserstein optimal transport solver — pure PyTorch, scalable, differentiable"
readme = "README.md"
license = { text = "Academic and Non-Commercial Use License" }
requires-python = ">=3.10"
authors = [
    { name = "Sijie Chen", email = "chensj16@stanford.edu" },
]
maintainers = [
    { name = "Sijie Chen", email = "chensj16@stanford.edu" },
]
keywords = [
    "optimal-transport",
    "gromov-wasserstein",
    "graph-matching",
    "manifold-alignment",
    "sinkhorn",
    "pytorch",
    "single-cell",
]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Science/Research",
    "License :: Other/Proprietary License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Mathematics",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: Bio-Informatics",
    "Typing :: Typed",
]
dependencies = [
    "numpy>=1.24",
    "scipy>=1.10",
    "scikit-learn>=1.2",
    "torch>=2.0",
    "joblib>=1.2",
]

[project.optional-dependencies]
dev = ["pytest>=7.0", "matplotlib>=3.6", "pot>=0.9"]
docs = ["sphinx>=7.0", "sphinx-rtd-theme>=2.0", "myst-parser>=2.0", "sphinx-sitemap>=2.5"]

[project.urls]
Homepage = "https://github.com/chansigit/torchgw"
Documentation = "https://chansigit.github.io/torchgw/"
Repository = "https://github.com/chansigit/torchgw"
Issues = "https://github.com/chansigit/torchgw/issues"

[tool.setuptools.packages.find]
where = ["."]
include = ["torchgw*"]

[tool.pytest.ini_options]
testpaths = ["tests"]