laMEG/pyproject.toml at main · danclab/laMEG · GitHub

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[build-system]
requires = [
    "setuptools>=42",
    "wheel<0.38",
    "pip<23",
    "setuptools_scm<7"
]
build-backend = "setuptools.build_meta:__legacy__"

[project]
name = "lameg"
version = "0.1.4"
description = "A toolbox for laminar inference with MEG"
readme = "README.rst"
requires-python = "~=3.7"
dependencies = [
    "nibabel==3.2.2",
    "vtk==9.3.0",
    "numpy==1.21.6",
    "scipy==1.5.4",
    "matplotlib==3.3.4",
    "joblib==1.1.1",
    "setuptools==59.6.0",
    "elephant==0.10.0",
    "neo==0.9.0",
    "quantities==0.13.0",
    "h5py==3.1.0",
    "mne==1.3.1",
    "notebook==6.4.10",
    "widgetsnbextension==3.6.6",
    "ipywidgets==7.8.1",
    "jupyterlab-widgets==1.1.7",
    "k3d==2.14.5"
]
authors = [
    { name = "James Bonaiuto", email = "james.bonaiuto@isc.cnrs.fr" },
    { name = "DANC lab", email = "danclab.info@gmail.com" }
]
classifiers=[
        'Intended Audience :: Science/Research',
        'Intended Audience :: Developers',
        'License :: OSI Approved',
        'Programming Language :: Python',
        'Topic :: Software Development',
        'Topic :: Scientific/Engineering',
        'Operating System :: Unix'
]

[project.urls]
homepage = "https://github.com/danclab/laMEG"

[tool.setuptools.packages.find]
include = ["lameg", "lameg.*"]

[tool.setuptools.package-data]
"lameg" = [
    "matlab/*",
    "settings.json",
    "assets/*",
    "assets/big_brain_layer_thickness/*"
]