{ stdenv
, lib
, buildPythonPackage
, fetchPypi

# build-system
, cython
, gfortran
, numpy
, oldest-supported-numpy
, scipy
, setuptools

# native dependencies
, glibcLocales
, llvmPackages
, pytestCheckHook
, pytest-xdist
, pillow
, joblib
, threadpoolctl
, pythonOlder
}:

buildPythonPackage rec {
  pname = "scikit-learn";
  version = "1.3.2";
  pyproject = true;

  disabled = pythonOlder "3.6";

  src = fetchPypi {
    inherit pname version;
    hash = "sha256-ovVMdqzMFaNL+5Bm5selbB5yNd2ldiuZB5IzC1LM+wU=";
  };

  buildInputs = [
    pillow
    glibcLocales
  ] ++ lib.optionals stdenv.cc.isClang [
    llvmPackages.openmp
  ];

  nativeBuildInputs = [
    cython
    gfortran
    numpy
    oldest-supported-numpy
    scipy
    setuptools
  ];

  propagatedBuildInputs = [
    joblib
    numpy
    numpy.blas
    scipy
    threadpoolctl
  ];

  nativeCheckInputs = [
    pytestCheckHook
    pytest-xdist
  ];

  env.LC_ALL="en_US.UTF-8";

  preBuild = ''
    export SKLEARN_BUILD_PARALLEL=$NIX_BUILD_CORES
  '';

  doCheck = !stdenv.isAarch64;

  disabledTests = [
    # Skip test_feature_importance_regression - does web fetch
    "test_feature_importance_regression"

    # failing on macos
    "check_regressors_train"
    "check_classifiers_train"
    "xfail_ignored_in_check_estimator"
  ] ++ lib.optionals (stdenv.isDarwin) [
    "test_graphical_lasso"
  ];

  pytestFlagsArray = [
    # verbose build outputs needed to debug hard-to-reproduce hydra failures
    "-v"
    "--pyargs" "sklearn"

    # NuSVC memmap tests causes segmentation faults in certain environments
    # (e.g. Hydra Darwin machines) related to a long-standing joblib issue
    # (https://github.com/joblib/joblib/issues/563). See also:
    # https://github.com/scikit-learn/scikit-learn/issues/17582
    # Since we are overriding '-k' we need to include the 'disabledTests' from above manually.
    "-k" "'not (NuSVC and memmap) ${toString (lib.forEach disabledTests (t: "and not ${t}"))}'"
  ];

  preCheck = ''
    cd $TMPDIR
    export HOME=$TMPDIR
    export OMP_NUM_THREADS=1
  '';

  pythonImportsCheck = [ "sklearn" ];

  meta = with lib; {
    description = "A set of python modules for machine learning and data mining";
    changelog = let
      major = versions.major version;
      minor = versions.minor version;
      dashVer = replaceStrings ["."] ["-"] version;
    in
      "https://scikit-learn.org/stable/whats_new/v${major}.${minor}.html#version-${dashVer}";
    homepage = "https://scikit-learn.org";
    license = licenses.bsd3;
    maintainers = with maintainers; [ davhau ];
  };
}