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Copy pathpyproject.toml
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executable file
·74 lines (63 loc) · 1.82 KB
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[build-system]
build-backend = "setuptools.build_meta"
requires = ["setuptools>=77.0.3"]
[project]
name = "meta-neuro"
version = "2.1.0"
authors = [
{ name = "Iyad Ba Gari", email = "iyad.bagari@usc.edu" },
]
maintainers = [
{ name = "Iyad Ba Gari", email = "iyad.bagari@usc.edu" },
]
description = "Medial Tractography Analysis (MeTA) for along-tract analysis of white matter bundles"
readme = "README.md"
license = "MIT"
license-files = ["LICENSE.txt"]
requires-python = ">=3.11"
keywords = [
"Diffusion MRI",
"Tractography",
"White Matter Bundle",
"Medial Volume",
"Along-Tract Analysis",
"Tractometry"
]
classifiers = [
"Intended Audience :: Science/Research",
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: 3.12',
'Programming Language :: Python :: 3.13',
'Topic :: Scientific/Engineering',
'Operating System :: Microsoft :: Windows',
'Operating System :: POSIX',
'Operating System :: MacOS',
]
dependencies = [
"numpy",
"scipy",
"pandas",
"nibabel",
"dipy",
"tslearn",
"tqdm",
"pyvista",
"trx-python",
"tables",
]
[project.urls]
Repository = "https://github.com/bagari/meta"
[project.scripts]
meta = "meta.workflows.meta:main"
density_map = "meta.core.density:density_map"
shape_metrics = "meta.metrics.shape:shape_features"
volumetric_profile = "meta.metrics.profile:volumetric_profile"
streamlines_profile = "meta.metrics.profile:streamlines_profile"
compute_bundle_similarity = "meta.metrics.compute_bundle_similarity:main"
apply_transform_image = "meta.transforms.image:apply_transform_image"
apply_transform_tractogram = "meta.transforms.tractogram:apply_transform_tractogram"
[tool.setuptools.package-data]
meta = ["*.yaml"]
[tool.setuptools.packages.find]
include = ["meta*"]