content: [project]
  name = "nnInteractive"
  version = "1.1.2"
  requires-python = ">=3.10"
  description = "Inference code for nnInteractive"
  readme = "readme.md"
  license = { file = "LICENSE" }
  authors = [
      { name = "Fabian Isensee", email = "f.isensee@dkfz-heidelberg.de"},
      { name = "Helmholtz Imaging Applied Computer Vision Lab" }
  ]
  classifiers = [
      "Development Status :: 5 - Production/Stable",
      "Intended Audience :: Developers",
      "Intended Audience :: Science/Research",
      "Intended Audience :: Healthcare Industry",
      "Programming Language :: Python :: 3",
      "License :: OSI Approved :: Apache Software License",
      "Topic :: Scientific/Engineering :: Artificial Intelligence",
      "Topic :: Scientific/Engineering :: Image Recognition",
      "Topic :: Scientific/Engineering :: Medical Science Apps.",
  ]
  keywords = [
      'deep learning',
      'image segmentation',
      'semantic segmentation',
      'medical image analysis',
      'medical image segmentation',
      'nnU-Net',
      'nnunet'
  ]
  dependencies = [
      "nnunetv2>=2.6",
      "torch>=2.6",
      "acvl-utils>=0.2.3,<0.3",  # 0.3 may bring breaking changes. Careful!
      "batchgenerators>=0.25.1",
  ]
  
  [project.urls]
  homepage = "https://github.com/MIC-DKFZ/nnInteractive"
  
  [project.optional-dependencies]
  dev = [
      "black",
      "ruff",
      "pre-commit"
  ]
  
  [build-system]
  requires = ["setuptools>=67.8.0"]
  build-backend = "setuptools.build_meta"
  
  [tool.codespell]
  skip = '.git,*.pdf,*.svg'
  #
  # ignore-words-list = ''
  
  [tool.setuptools.packages.find]
  where = ["."]
  include = ["nnInteractive*"]