githubmirror/scikit-learn

sklearn/utils/setup.py
128 строк3 KB
Thomas J. Fan
MAINT Refactor vector sentinel into utils (#22728)
29 мар 2022, 18:50
29 мар 2022, 18:50b51fbb0
import os
from os.path import join

from sklearn._build_utils import gen_from_templates


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

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

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

    config.add_extension(
        "sparsefuncs_fast", sources=["sparsefuncs_fast.pyx"], libraries=libraries
    )

    config.add_extension(
        "_cython_blas", sources=["_cython_blas.pyx"], libraries=libraries
    )

    config.add_extension(
        "arrayfuncs",
        sources=["arrayfuncs.pyx"],
        include_dirs=[numpy.get_include()],
        libraries=libraries,
    )

    config.add_extension(
        "murmurhash",
        sources=["murmurhash.pyx", join("src", "MurmurHash3.cpp")],
        include_dirs=["src"],
    )

    config.add_extension(
        "_fast_dict",
        sources=["_fast_dict.pyx"],
        language="c++",
        include_dirs=[numpy.get_include()],
        libraries=libraries,
    )

    config.add_extension(
        "_openmp_helpers", sources=["_openmp_helpers.pyx"], libraries=libraries
    )

    # generate files from a template
    templates = [
        "sklearn/utils/_seq_dataset.pyx.tp",
        "sklearn/utils/_seq_dataset.pxd.tp",
        "sklearn/utils/_weight_vector.pyx.tp",
        "sklearn/utils/_weight_vector.pxd.tp",
    ]

    gen_from_templates(templates)

    config.add_extension(
        "_seq_dataset", sources=["_seq_dataset.pyx"], include_dirs=[numpy.get_include()]
    )

    config.add_extension(
        "_weight_vector",
        sources=["_weight_vector.pyx"],
        include_dirs=[numpy.get_include()],
        libraries=libraries,
    )

    config.add_extension(
        "_random",
        sources=["_random.pyx"],
        include_dirs=[numpy.get_include()],
        libraries=libraries,
    )

    config.add_extension(
        "_logistic_sigmoid",
        sources=["_logistic_sigmoid.pyx"],
        include_dirs=[numpy.get_include()],
        libraries=libraries,
    )

    config.add_extension(
        "_readonly_array_wrapper",
        sources=["_readonly_array_wrapper.pyx"],
        libraries=libraries,
    )

    config.add_extension(
        "_typedefs",
        sources=["_typedefs.pyx"],
        include_dirs=[numpy.get_include()],
        libraries=libraries,
    )

    config.add_extension(
        "_heap",
        sources=["_heap.pyx"],
        libraries=libraries,
    )

    config.add_extension(
        "_sorting",
        sources=["_sorting.pyx"],
        include_dirs=[numpy.get_include()],
        language="c++",
        libraries=libraries,
    )

    config.add_extension(
        "_vector_sentinel",
        sources=["_vector_sentinel.pyx"],
        include_dirs=[numpy.get_include()],
        libraries=libraries,
        language="c++",
    )

    config.add_subpackage("tests")

    return config


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

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