pyproject.toml

[tool.black]
target-version = ['py311', 'py312', 'py313', 'py314']
force-exclude = '''
(
  /(
      \.git
      | data
  )/
)
'''

[build-system]
requires = [
    "setuptools>=42",
    "wheel"
]
build-backend = "setuptools.build_meta"

[project]
name = 'lis2'
version = "1.0.0"
license = "BSD-3-Clause"
dynamic = ["dependencies"]
requires-python = '>=3.11'
description = "LIS² (Large Image Split Segmentation): A toolbox for large-scale, single-image semantic segmentation"

authors = [
    {name = "Loris Berthelot", email = "loris.berthelot@lis-lab.fr"},
    {name = "Dominique Benielli", email = "dominique.benielli@univ-amu.fr"},
    {name = "François-Xavier Dupé", email = "francois-xavier.dupe@univ-amu.fr" },
    {name = "Caroline de Pourtales"},
    {name = "Elliot Maitre"},
    {name = "Thierry Artières"},
    {name = "Annie Zavagno"},
    {name = "Julien Rabault"}
]

classifiers=[
    "Programming Language :: Python :: 3",
    "Operating System :: OS Independent",
    "Environment :: GPU :: NVIDIA CUDA",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: Astronomy"
]
readme = {file = "README.md", content-type = "text/markdown"}

keywords = ['machine learning, supervised learning, classification, ensemble methods, boosting, kernel']

[project.optional-dependencies]
test = ["pytest", "coverage", "pytest-cov"]
doc = ["sphinx==5.0", "numpydoc", "sphinx_gallery", "matplotlib", "sphinx_rtd_theme"]


[project.urls]
"Sources" = "https://github.com/multi-learn/lis2"
Documentation  = "https://multi-learn.github.io/lis2/"
"Bug Tracker" = "https://github.com/multi-learn/lis2/issues"

[tool.setuptools.dynamic]
dependencies = {file = ["requirements.txt"]}

[tool.setuptools.packages.find]
where = ["."]
exclude= ["tests"]