{ stdenv , lib , buildPythonPackage , fetchPypi # build-system , cython , gfortran , numpy , scipy , setuptools , wheel # native dependencies , glibcLocales , llvmPackages , pytestCheckHook , pythonRelaxDepsHook , pytest-xdist , pillow , joblib , threadpoolctl , pythonOlder }: buildPythonPackage rec { pname = "scikit-learn"; version = "1.4.2"; pyproject = true; disabled = pythonOlder "3.9"; src = fetchPypi { inherit pname version; hash = "sha256-2qHEcdlbrQgMbkS0lGyTkKSEKtwwglcsIOT4iE456Vk="; }; # Avoid build-system requirements causing failure prePatch = '' substituteInPlace pyproject.toml \ --replace-fail "numpy==2.0.0rc1" "numpy" ''; buildInputs = [ pillow glibcLocales ] ++ lib.optionals stdenv.cc.isClang [ llvmPackages.openmp ]; nativeBuildInputs = [ gfortran pythonRelaxDepsHook ]; build-system = [ cython numpy scipy setuptools wheel ]; propagatedBuildInputs = [ numpy.blas ]; dependencies = [ joblib numpy scipy threadpoolctl ]; nativeCheckInputs = [ pytestCheckHook pytest-xdist ]; env.LC_ALL="en_US.UTF-8"; preBuild = '' export SKLEARN_BUILD_PARALLEL=$NIX_BUILD_CORES ''; # PermissionError: [Errno 1] Operation not permitted: '/nix/nix-installer' doCheck = !stdenv.isDarwin; disabledTests = [ # Skip test_feature_importance_regression - does web fetch "test_feature_importance_regression" ]; 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 ]; }; }