scikit-learn/sklearn/linear_model/setup.py

43 lines
1.3 KiB
Python

from os.path import join
import numpy
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
from numpy.distutils.system_info import get_info
config = Configuration('linear_model', parent_package, top_path)
# cd fast needs CBLAS
blas_info = get_info('blas_opt', 0)
if (not blas_info) or (
('NO_ATLAS_INFO', 1) in blas_info.get('define_macros', [])):
cblas_libs = ['cblas']
blas_info.pop('libraries', None)
else:
cblas_libs = blas_info.pop('libraries', [])
config.add_extension('cd_fast',
sources=['cd_fast.c'],
libraries=cblas_libs,
include_dirs=[join('..', 'src', 'cblas'),
numpy.get_include(),
blas_info.pop('include_dirs', [])],
extra_compile_args=blas_info.pop('extra_compile_args', []),
**blas_info
)
config.add_extension('sgd_fast',
sources=['sgd_fast.c'],
include_dirs=[numpy.get_include()]
)
# add other directories
config.add_subpackage('tests')
config.add_subpackage('sparse')
return config
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(**configuration(top_path='').todict())