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import os
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from os.path import join
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from sklearn._build_utils import gen_from_templates
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def configuration(parent_package="", top_path=None):
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import numpy
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from numpy.distutils.misc_util import Configuration
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config = Configuration("utils", parent_package, top_path)
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libraries = []
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if os.name == "posix":
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libraries.append("m")
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config.add_extension(
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"sparsefuncs_fast", sources=["sparsefuncs_fast.pyx"], libraries=libraries
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)
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config.add_extension(
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"_cython_blas", sources=["_cython_blas.pyx"], libraries=libraries
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)
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config.add_extension(
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"arrayfuncs",
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sources=["arrayfuncs.pyx"],
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include_dirs=[numpy.get_include()],
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libraries=libraries,
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)
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config.add_extension(
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"murmurhash",
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sources=["murmurhash.pyx", join("src", "MurmurHash3.cpp")],
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include_dirs=["src"],
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)
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config.add_extension(
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"_fast_dict",
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sources=["_fast_dict.pyx"],
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language="c++",
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include_dirs=[numpy.get_include()],
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libraries=libraries,
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)
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config.add_extension(
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"_openmp_helpers", sources=["_openmp_helpers.pyx"], libraries=libraries
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)
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# generate files from a template
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templates = [
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"sklearn/utils/_seq_dataset.pyx.tp",
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"sklearn/utils/_seq_dataset.pxd.tp",
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"sklearn/utils/_weight_vector.pyx.tp",
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"sklearn/utils/_weight_vector.pxd.tp",
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]
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gen_from_templates(templates)
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config.add_extension(
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"_seq_dataset", sources=["_seq_dataset.pyx"], include_dirs=[numpy.get_include()]
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)
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config.add_extension(
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"_weight_vector",
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sources=["_weight_vector.pyx"],
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include_dirs=[numpy.get_include()],
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libraries=libraries,
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)
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config.add_extension(
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"_random",
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sources=["_random.pyx"],
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include_dirs=[numpy.get_include()],
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libraries=libraries,
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)
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config.add_extension(
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"_logistic_sigmoid",
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sources=["_logistic_sigmoid.pyx"],
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include_dirs=[numpy.get_include()],
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libraries=libraries,
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)
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config.add_extension(
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"_readonly_array_wrapper",
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sources=["_readonly_array_wrapper.pyx"],
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libraries=libraries,
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)
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config.add_extension(
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"_typedefs",
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sources=["_typedefs.pyx"],
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include_dirs=[numpy.get_include()],
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libraries=libraries,
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)
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config.add_extension(
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"_heap",
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sources=["_heap.pyx"],
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libraries=libraries,
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)
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config.add_extension(
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"_sorting",
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sources=["_sorting.pyx"],
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include_dirs=[numpy.get_include()],
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language="c++",
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libraries=libraries,
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)
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config.add_extension(
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"_vector_sentinel",
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sources=["_vector_sentinel.pyx"],
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include_dirs=[numpy.get_include()],
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libraries=libraries,
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language="c++",
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)
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config.add_subpackage("tests")
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return config
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if __name__ == "__main__":
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from numpy.distutils.core import setup
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setup(**configuration(top_path="").todict())
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