pyproject.toml

[build-system]
build-backend = "hatchling.build"
requires = ["hatchling"]

[project]
authors = [{name = "Mohammad Torabi"}]
classifiers = [
    "Development Status :: 5 - Production/Stable",  # change later
    "Intended Audience :: Education",
    "Programming Language :: Python :: 3",
    "Operating System :: MacOS :: MacOS X",
    "Operating System :: POSIX :: Linux"  # change later
]
dependencies = [
    'h5py',
    'hmmlearn',
    'ksvd',
    'matplotlib',
    'networkx',
    'nilearn>=0.10.2,!=0.10.3',
    'pyclustering',
    'pycwt',
    'seaborn',
    'statsmodels'
]
description = 'This package aims to provide a comprehensive framework for assessing dynamic functional connectivity (dFC) using multiple methods and comparing results across methods.'
keywords = ['python', 'dFC package', 'neuroimaging']
license = {text = "MIT"}
maintainers = [{name = "Mohammad Torabi", email = "mohammad.torabi@mail.mcgill.ca"}]
name = "pydfc"
readme = "README.rst"
requires-python = ">=3.8"
version = "1.0.4"

[project.optional-dependencies]
test = ["pytest"]

[tool.black]
line-length = 90

[tool.codespell]
builtin = "clear,rare"
ignore-words-list = "grey,fo"
skip = "*.ipynb"

[tool.isort]
combine_as_imports = true
line_length = 90
profile = "black"
skip_gitignore = true
src_paths = [
    'rest_dFC',
    'task_dFC',
    'pydfc'
]