File Content: setup.py import os from os.path import join from sklearn._build_utils import get_blas_info def configuration(parent_package='', top_path=None): import numpy from numpy.distutils.misc_util import Configuration config = Configuration('utils', parent_package, top_path) config.add_subpackage('sparsetools') cblas_libs, blas_info = get_blas_info() cblas_compile_args = blas_info.pop('extra_compile_args', []) cblas_includes = [join('..', 'src', 'cblas'), numpy.get_include(), blas_info.pop('include_dirs', [])] libraries = [] if os.name == 'posix': libraries.append('m') cblas_libs.append('m') config.add_extension('sparsefuncs_fast', sources=['sparsefuncs_fast.pyx'], libraries=libraries) config.add_extension('arrayfuncs', sources=['arrayfuncs.pyx'], depends=[join('src', 'cholesky_delete.h')], libraries=cblas_libs, include_dirs=cblas_includes, extra_compile_args=cblas_compile_args, **blas_info ) config.add_extension('murmurhash', sources=['murmurhash.pyx', join( 'src', 'MurmurHash3.cpp')], include_dirs=['src']) config.add_extension('lgamma', sources=['lgamma.pyx', join('src', 'gamma.c')], include_dirs=['src'], libraries=libraries) config.add_extension('graph_shortest_path', sources=['graph_shortest_path.pyx'], include_dirs=[numpy.get_include()]) config.add_extension('fast_dict', sources=['fast_dict.pyx'], language="c++", include_dirs=[numpy.get_include()], libraries=libraries) 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=cblas_includes, libraries=cblas_libs, **blas_info) 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_subpackage('tests') return config if __name__ == '__main__': from numpy.distutils.core import setup setup(**configuration(top_path='').todict()) Submit