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pyproject.toml
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[build-system]
requires = ["setuptools>=58.2.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = 'dmt-learn'
dynamic = ["version"]
description = 'An Explainable Deep Network for Dimension Reduction (EVNet)'
readme = {file = "README.md", content-type = "text/markdown"}
license = {file = "LICENSE.txt"}
requires-python = ">=3.10"
authors = [
{ name="zangzelin", email="[email protected]" },
]
maintainers = [
{name = "masiqi", email = "[email protected]"}
]
classifiers=[
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Environment :: GPU :: NVIDIA CUDA",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering",
"Operating System :: POSIX :: Linux",
]
dependencies = [
'pynndescent',
'scikit-learn',
'numpy',
'matplotlib',
'tqdm',
'fsspec',
'numba',
'scanpy',
'torch>=2.3.1',
'torchaudio>=2.3.1',
'torchvision>=0.18.1',
'lightning==2.4.0',
'umap-learn'
]
[project.optional-dependencies]
eval = ['pandas', 'plotly']
[dynamic]
keywords = ["dimension reduction manifold deep network"]
[tool.setuptools.dynamic]
version = { attr = "dmt.__version__" }