pyproject.toml

[project]
name = "deeptime"
readme = "README.md"
description = "Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation."
keywords = [
    "markov-model", "hidden-markov-model", "time-series-analysis", "covariance-estimation",
    "koopman-operator", "coherent-set-detection"
]
authors = [
    {name = 'Moritz Hoffmann', email = 'moritz.hoffmann@fu-berlin.de'},
    {name = 'Martin Scherer'},
    {name = 'Tim Hempel'},
    {name = 'Andreas Mardt'},
    {name = 'Maaike Galama'},
    {name = 'Brian de Silva'},
    {name = 'Brooke Husic'},
    {name = 'Stefan Klus'},
    {name = 'Hao Wu'},
    {name = 'Nathan Kutz'},
    {name = 'Steven Brunton'},
    {name = 'Frank Noé'}
]
requires-python = ">= 3.7"
dependencies = [
    'numpy>=1.19.5',
    'scipy>=1.1.0',
    'scikit-learn>=0.14.1',
    'threadpoolctl>=2.0.0'
]
dynamic = ['version']

[project.urls]
homepage = "https://deeptime-ml.github.io"
repository = "https://github.com/deeptime-ml/deeptime"
documentation = "https://deeptime-ml.github.io"
download = "https://pypi.org/project/deeptime/#files"

[project.optional-dependencies]
deep-learning = ['pytorch']
plotting = ['matplotlib', 'networkx']
units = ['pint>=0.19.1']

[build-system]
requires = [
    "setuptools>=42",
    "wheel",
    "scikit-build>=0.13",
    "cython",
    "pybind11>=2.9.0",
    "numpy>=1.14",
    "cmake>=3.22",
    "toml",
    "scipy",
    "ninja; platform_system!='Windows'"
]
build-backend = "setuptools.build_meta"

[tool.pytest.ini_options]
filterwarnings = ["once", "ignore::UserWarning"]