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pyproject.toml
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[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"
[project]
name = "multi_mst"
version = "0.2.0"
description = "Minimum spanning tree based manifold approximations."
keywords = ["dimensionality reduction", "clustering", "minimum spanning tree"]
authors = [
{name= "Jelmer Bot", email = "[email protected]" }
]
readme = "README.md"
license = { text = "BSD-2-Clause" }
classifiers = [
"Development Status :: 5 - Production/Stable",
"License :: OSI Approved :: BSD License",
"Natural Language :: English",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3 :: Only"
]
requires-python = ">=3.10"
dependencies = [
"numpy >= 1.20, <3",
"scipy >= 1.9",
"scikit-learn >= 1.1",
"umap-learn >= 0.5.4",
"numba >= 0.57.1",
"pynndescent >= 0.5.13",
"fast_hdbscan @ git+https://github.com/TutteInstitute/fast_hdbscan.git@main#egg=fast_hdbscan",
"fast_hbcc @ git+https://github.com/vda-lab/fast_hbcc.git@main#egg=fast_hbcc"
]
[project.urls]
Homepage = "https://github.com/vda-lab/multi_mst"
Issues = "https://github.com/vda-lab/multi_mst/issues"
[tool.setuptools.packages.find]
where = ["src"]
include = ["multi_mst*"]
namespaces = false
[project.optional-dependencies]
tests = ["pytest"]
docs = [
"sphinx >= 8",
"nbsphinx >= 0.9",
"sphinx_rtd_theme >= 2.0",
"matplotlib >= 3.8",
"numpydoc",
"pygments>=2.4.1",
"jupyterlab_pygments>=0.1.1",
"ipykernel",
]
notebooks = [
"jupyterlab >= 4",
"matplotlib >= 3.8",
"pandas >= 2.2",
"tqdm >= 4.62.3"
]