scikit-learn/sklearn/utils/setup.py

94 lines
3.1 KiB
Python

import os
from os.path import join
def configuration(parent_package='', top_path=None):
import numpy
from numpy.distutils.misc_util import Configuration
from Cython import Tempita
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('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)
# generate files from a template
pyx_templates = ['sklearn/utils/seq_dataset.pyx.tp',
'sklearn/utils/seq_dataset.pxd.tp']
for pyxfiles in pyx_templates:
outfile = pyxfiles.replace('.tp', '')
# if .pyx.tp is not updated, no need to output .pyx
if (os.path.exists(outfile) and
os.stat(pyxfiles).st_mtime < os.stat(outfile).st_mtime):
continue
with open(pyxfiles, "r") as f:
tmpl = f.read()
pyxcontent = Tempita.sub(tmpl)
with open(outfile, "w") as f:
f.write(pyxcontent)
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_subpackage('tests')
return config
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(**configuration(top_path='').todict())