scikit-learn/sklearn/setup.py

import sys
import os

from sklearn._build_utils import cythonize_extensions


def configuration(parent_package="", top_path=None):
    from numpy.distutils.misc_util import Configuration
    import numpy

    libraries = []
    if os.name == "posix":
        libraries.append("m")

    config = Configuration("sklearn", parent_package, top_path)

    # submodules with build utilities
    config.add_subpackage("__check_build")
    config.add_subpackage("_build_utils")

    # submodules which do not have their own setup.py
    # we must manually add sub-submodules & tests
    config.add_subpackage("compose")
    config.add_subpackage("compose/tests")
    config.add_subpackage("covariance")
    config.add_subpackage("covariance/tests")
    config.add_subpackage("cross_decomposition")
    config.add_subpackage("cross_decomposition/tests")
    config.add_subpackage("feature_selection")
    config.add_subpackage("feature_selection/tests")
    config.add_subpackage("gaussian_process")
    config.add_subpackage("gaussian_process/tests")
    config.add_subpackage("impute")
    config.add_subpackage("impute/tests")
    config.add_subpackage("inspection")
    config.add_subpackage("inspection/tests")
    config.add_subpackage("mixture")
    config.add_subpackage("mixture/tests")
    config.add_subpackage("model_selection")
    config.add_subpackage("model_selection/tests")
    config.add_subpackage("neural_network")
    config.add_subpackage("neural_network/tests")
    config.add_subpackage("preprocessing")
    config.add_subpackage("preprocessing/tests")
    config.add_subpackage("semi_supervised")
    config.add_subpackage("semi_supervised/tests")
    config.add_subpackage("experimental")
    config.add_subpackage("experimental/tests")
    config.add_subpackage("ensemble/_hist_gradient_boosting")
    config.add_subpackage("ensemble/_hist_gradient_boosting/tests")
    config.add_subpackage("externals")
    config.add_subpackage("externals/_packaging")

    # submodules which have their own setup.py
    config.add_subpackage("_loss")
    config.add_subpackage("_loss/tests")
    config.add_subpackage("cluster")
    config.add_subpackage("datasets")
    config.add_subpackage("decomposition")
    config.add_subpackage("ensemble")
    config.add_subpackage("feature_extraction")
    config.add_subpackage("manifold")
    config.add_subpackage("metrics")
    config.add_subpackage("neighbors")
    config.add_subpackage("tree")
    config.add_subpackage("utils")
    config.add_subpackage("svm")
    config.add_subpackage("linear_model")

    # add cython extension module for isotonic regression
    config.add_extension(
        "_isotonic",
        sources=["_isotonic.pyx"],
        include_dirs=[numpy.get_include()],
        libraries=libraries,
    )

    # add the test directory
    config.add_subpackage("tests")

    # Skip cythonization as we do not want to include the generated
    # C/C++ files in the release tarballs as they are not necessarily
    # forward compatible with future versions of Python for instance.
    if "sdist" not in sys.argv:
        cythonize_extensions(top_path, config)

    return config


if __name__ == "__main__":
    from numpy.distutils.core import setup

    setup(**configuration(top_path="").todict())