import os
import numpy

from sklearn._build_utils import gen_from_templates


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

    config = Configuration('linear_model', parent_package, top_path)

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

    config.add_extension('_cd_fast',
                         sources=['_cd_fast.pyx'],
                         include_dirs=numpy.get_include(),
                         libraries=libraries)

    config.add_extension('_sgd_fast',
                         sources=['_sgd_fast.pyx'],
                         include_dirs=numpy.get_include(),
                         libraries=libraries)

    # generate sag_fast from template
    templates = ['sklearn/linear_model/_sag_fast.pyx.tp']
    gen_from_templates(templates, top_path)

    config.add_extension('_sag_fast',
                         sources=['_sag_fast.pyx'],
                         include_dirs=numpy.get_include())

    # add other directories
    config.add_subpackage('tests')
    config.add_subpackage('_glm')
    config.add_subpackage('_glm/tests')

    return config


if __name__ == '__main__':
    from numpy.distutils.core import setup
    setup(**configuration(top_path='').todict())