def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('impl', parent_package, top_path)
cblas_libs, blas_info = get_blas_info()
config.add_extension('dataset_fast',
sources=['dataset_fast.c'],
include_dirs=[numpy.get_include()])
config.add_extension('matrix_fact_fast',
sources=['matrix_fact_fast.c'],
include_dirs=[numpy.get_include()])
config.add_extension('preprocessing_fast',
sources=['preprocessing_fast.c'],
include_dirs=[numpy.get_include()])
config.add_extension('dict_fact_fast',
sources=['dict_fact_fast.c'],
include_dirs=[numpy.get_include()])
config.add_extension('dict_fact_fast_partial',
sources=['dict_fact_fast_partial.c'],
include_dirs=[numpy.get_include()])
config.add_subpackage('tests')
return config
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('whatever', parent_package, top_path)
cblas_libs, blas_info = get_blas_info()
if os.name == 'posix':
cblas_libs.append('m')
config.add_extension('cd_fast_fixed',
sources=['cd_fast_fixed.pyx'],
include_dirs=[#join('..', 'src', 'cblas'),
numpy.get_include(),
blas_info.pop('include_dirs', [])],
libraries=cblas_libs,
extra_compile_args=blas_info.pop('extra_compile_args',
[]),
**blas_info)
config.add_extension('cd_fast_adaptive', sources=['cd_fast_adaptive.pyx'],
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('test',
# sources=['test.pyx'],
# include_dirs=numpy.get_include())
# add other directories
#config.add_subpackage('tests')
return config
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('prox_elasticnet', parent_package, top_path)
cblas_libs, blas_info = get_blas_info()
if os.name == 'posix':
cblas_libs.append('m')
# add cython extensions module
config.add_extension('prox_fast',
sources=['prox_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)
# add the test directory
config.add_subpackage('tests')
return config
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
cblas_libs, blas_info = get_blas_info()
libraries = []
if os.name == 'posix':
cblas_libs.append('m')
libraries.append('m')
config = Configuration('cluster', parent_package, top_path)
config.add_extension('_hierarchical',
sources=['_hierarchical.cpp'],
language="c++",
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_extension('_k_means',
libraries=cblas_libs,
sources=['_k_means.c'],
include_dirs=[
join('..', 'src', 'cblas'),
numpy.get_include(),
blas_info.pop('include_dirs', [])
],
extra_compile_args=blas_info.pop(
'extra_compile_args', []),
**blas_info)
return config
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
cblas_libs, blas_info = get_blas_info()
libraries = []
if os.name == 'posix':
cblas_libs.append('m')
libraries.append('m')
config = Configuration('cluster', parent_package, top_path)
config.add_extension('_hierarchical',
sources=['_hierarchical.c'],
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_extension(
'_k_means',
libraries=cblas_libs,
sources=['_k_means.c'],
include_dirs=[join('..', 'src', 'cblas'),
numpy.get_include(),
blas_info.pop('include_dirs', [])],
extra_compile_args=blas_info.pop('extra_compile_args', []),
**blas_info
)
return config
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()
libraries = []
if os.name == 'posix':
libraries.append('m')
cblas_libs.append('m')
config.add_extension('arraybuilder', sources=['arraybuilder.c'])
config.add_extension('sparsefuncs', sources=['sparsefuncs.c'],
libraries=libraries)
config.add_extension('arrayfuncs',
sources=['arrayfuncs.c'],
depends=[join('src', 'cholesky_delete.h')],
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(
'murmurhash',
sources=['murmurhash.c', join('src', 'MurmurHash3.cpp')],
include_dirs=['src'])
config.add_extension('lgamma',
sources=['lgamma.cpp', join('src', 'Gamma.cpp')],
include_dirs=['src'],
libraries=libraries)
config.add_extension('graph_shortest_path',
sources=['graph_shortest_path.c'],
include_dirs=[numpy.get_include()])
config.add_extension('seq_dataset',
sources=['seq_dataset.c'],
include_dirs=[numpy.get_include()])
config.add_extension('weight_vector',
sources=['weight_vector.c'],
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_extension("random",
sources=["random.c"],
include_dirs=[numpy.get_include()],
libraries=libraries)
return config
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('impl', parent_package, top_path)
cblas_libs, blas_info = get_blas_info()
config.add_extension('dataset_fast',
sources=['dataset_fast.c'],
include_dirs=[numpy.get_include()])
config.add_extension('matrix_fact_fast',
sources=['matrix_fact_fast.c'],
include_dirs=[numpy.get_include()])
config.add_extension('preprocessing_fast',
sources=['preprocessing_fast.c'],
include_dirs=[numpy.get_include()])
config.add_extension('dict_fact_fast',
sources=['dict_fact_fast.c'],
include_dirs=[numpy.get_include()])
config.add_extension('dict_fact_fast_partial',
sources=['dict_fact_fast_partial.c'],
include_dirs=[numpy.get_include()])
config.add_subpackage('tests')
return config
def configuration(parent_package="", top_path=None):
config = Configuration("manifold", parent_package, top_path)
libraries = []
if os.name == 'posix':
libraries.append('m')
config.add_extension("_utils",
sources=["_utils.pyx"],
include_dirs=[numpy.get_include()],
libraries=libraries,
extra_compile_args=["-O3"])
cblas_libs, blas_info = get_blas_info()
eca = blas_info.pop('extra_compile_args', [])
eca.append("-O4")
config.add_extension("_barnes_hut_tsne",
libraries=cblas_libs,
sources=["_barnes_hut_tsne.pyx"],
include_dirs=[
join('..', 'src', 'cblas'),
numpy.get_include(),
blas_info.pop('include_dirs', [])
],
extra_compile_args=eca,
**blas_info)
config.add_subpackage('tests')
return config
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()
libraries = []
if os.name == 'posix':
libraries.append('m')
cblas_libs.append('m')
config.add_extension('arraybuilder', sources=['arraybuilder.c'])
config.add_extension('sparsefuncs', sources=['sparsefuncs.c'],
libraries=libraries)
config.add_extension('arrayfuncs',
sources=['arrayfuncs.c'],
depends=[join('src', 'cholesky_delete.h')],
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(
'murmurhash',
sources=['murmurhash.c', join('src', 'MurmurHash3.cpp')],
include_dirs=['src'])
config.add_extension('lgamma',
sources=['lgamma.c', join('src', 'gamma.c')],
include_dirs=['src'],
libraries=libraries)
config.add_extension('graph_shortest_path',
sources=['graph_shortest_path.c'],
include_dirs=[numpy.get_include()])
config.add_extension('seq_dataset',
sources=['seq_dataset.c'],
include_dirs=[numpy.get_include()])
config.add_extension('weight_vector',
sources=['weight_vector.c'],
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_extension("random",
sources=["random.c"],
include_dirs=[numpy.get_include()],
libraries=libraries)
return config
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('linear_model', parent_package, top_path)
cblas_libs, blas_info = get_blas_info()
libraries = []
if os.name == 'posix':
cblas_libs.append('m')
libraries.append('m')
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()],
libraries=libraries,
)
# add other directories
config.add_subpackage('tests')
return config
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('linear_model', parent_package, top_path)
cblas_libs, blas_info = get_blas_info()
libraries = []
if os.name == 'posix':
cblas_libs.append('m')
libraries.append('m')
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()],
libraries=libraries,
)
# add other directories
config.add_subpackage('tests')
return config
def configuration(parent_package="", top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration("linear_model", parent_package, top_path)
cblas_libs, blas_info = get_blas_info()
libraries = []
if os.name == "posix":
cblas_libs.append("m")
libraries.append("m")
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()], libraries=libraries)
# add other directories
config.add_subpackage("tests")
config.add_subpackage("sparse")
return config
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()
libraries = []
if os.name == "posix":
libraries.append("m")
cblas_libs.append("m")
config.add_extension("arraybuilder", sources=["arraybuilder.c"])
config.add_extension("sparsefuncs", sources=["sparsefuncs.c"], libraries=libraries)
config.add_extension(
"arrayfuncs",
sources=["arrayfuncs.c"],
depends=[join("src", "cholesky_delete.h")],
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("murmurhash", sources=["murmurhash.c", join("src", "MurmurHash3.cpp")], include_dirs=["src"])
config.add_extension(
"lgamma", sources=["lgamma.c", join("src", "gamma.c")], include_dirs=["src"], libraries=libraries
)
config.add_extension("graph_shortest_path", sources=["graph_shortest_path.c"], include_dirs=[numpy.get_include()])
config.add_extension("seq_dataset", sources=["seq_dataset.c"], include_dirs=[numpy.get_include()])
config.add_extension(
"weight_vector", sources=["weight_vector.c"], include_dirs=[numpy.get_include()], libraries=libraries
)
config.add_extension("random", sources=["random.c"], include_dirs=[numpy.get_include()], libraries=libraries)
config.add_extension(
"_logistic_sigmoid", sources=["_logistic_sigmoid.c"], include_dirs=[numpy.get_include()], libraries=libraries
)
return config
def configuration(parent_package="", top_path=None):
config = Configuration("metrics", parent_package, top_path)
cblas_libs, blas_info = get_blas_info()
if os.name == 'posix':
cblas_libs.append('m')
config.add_extension("pairwise_fast",
sources=["pairwise_fast.c"],
include_dirs=[os.path.join('..', 'src', 'cblas'),
numpy.get_include(),
blas_info.pop('include_dirs', [])],
libraries=cblas_libs,
extra_compile_args=blas_info.pop('extra_compile_args',
[]),
**blas_info)
return config
def configuration(parent_package="", top_path=None):
config = Configuration("metrics", parent_package, top_path)
cblas_libs, blas_info = get_blas_info()
if os.name == 'posix':
cblas_libs.append('m')
config.add_extension("pairwise_fast",
sources=["pairwise_fast.c"],
include_dirs=[os.path.join('..', 'src', 'cblas'),
numpy.get_include(),
blas_info.pop('include_dirs', [])],
libraries=cblas_libs,
extra_compile_args=blas_info.pop('extra_compile_args',
[]),
**blas_info)
return config
def configuration(parent_package="", top_path=None):
config = Configuration("manifold", parent_package, top_path)
libraries = []
if os.name == 'posix':
libraries.append('m')
config.add_extension("_utils",
sources=["_utils.c"],
include_dirs=[numpy.get_include()],
libraries=libraries,
extra_compile_args=["-O3"])
cblas_libs, blas_info = get_blas_info()
eca = blas_info.pop('extra_compile_args', [])
eca.append("-O4")
config.add_extension("_barnes_hut_tsne",
libraries=cblas_libs,
sources=["_barnes_hut_tsne.c"],
include_dirs=[join('..', 'src', 'cblas'),
numpy.get_include(),
blas_info.pop('include_dirs', [])],
extra_compile_args=eca, **blas_info)
return config
__author__ = 'qd'
from distutils.core import setup
from Cython.Build import cythonize
from sklearn._build_utils import get_blas_info
import os
import numpy as np
path = "auxiliary/"
# path = ""
cblas_libs, blas_info = get_blas_info()
tmp = '/opt/local/include'
libraries = []
if os.name == 'posix':
cblas_libs.append('m')
libraries.append('m')
extensions = [path+"rand_no_repeat.pyx"]
setup(
# name='',
include_dirs=[np.get_include(), tmp],
ext_modules=cythonize(extensions,
# language="c++",
# libraries=cblas_libs,
)
)
# run setup_aix.py build_ext --inplace
def configuration(parent_package="", top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration("svm", parent_package, top_path)
config.add_subpackage("tests")
# Section LibSVM
# we compile both libsvm and libsvm_sparse
config.add_library(
"libsvm-skl",
sources=[join("src", "libsvm", "libsvm_template.cpp")],
depends=[join("src", "libsvm", "svm.cpp"), join("src", "libsvm", "svm.h")],
# Force C++ linking in case gcc is picked up instead
# of g++ under windows with some versions of MinGW
extra_link_args=["-lstdc++"],
)
libsvm_sources = ["libsvm.c"]
libsvm_depends = [
join("src", "libsvm", "libsvm_helper.c"),
join("src", "libsvm", "libsvm_template.cpp"),
join("src", "libsvm", "svm.cpp"),
join("src", "libsvm", "svm.h"),
]
config.add_extension(
"libsvm",
sources=libsvm_sources,
include_dirs=[numpy.get_include(), join("src", "libsvm")],
libraries=["libsvm-skl"],
depends=libsvm_depends,
)
### liblinear module
cblas_libs, blas_info = get_blas_info()
if os.name == "posix":
cblas_libs.append("m")
liblinear_sources = ["liblinear.c", join("src", "liblinear", "*.cpp")]
liblinear_depends = [join("src", "liblinear", "*.h"), join("src", "liblinear", "liblinear_helper.c")]
config.add_extension(
"liblinear",
sources=liblinear_sources,
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", []),
depends=liblinear_depends,
# extra_compile_args=['-O0 -fno-inline'],
**blas_info
)
## end liblinear module
# this should go *after* libsvm-skl
libsvm_sparse_sources = ["libsvm_sparse.c"]
config.add_extension(
"libsvm_sparse",
libraries=["libsvm-skl"],
sources=libsvm_sparse_sources,
include_dirs=[numpy.get_include(), join("src", "libsvm")],
depends=[join("src", "libsvm", "svm.h"), join("src", "libsvm", "libsvm_sparse_helper.c")],
)
return config
def configuration(parent_package='', top_path=None):
import numpy
from numpy.distutils.misc_util import Configuration
config = Configuration('utils', parent_package, top_path)
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('_cython_blas',
sources=['_cython_blas.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
def configuration(parent_package='', top_path=None):
import numpy
from numpy.distutils.misc_util import Configuration
config = Configuration('utils', parent_package, top_path)
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('_cython_blas',
sources=['_cython_blas.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
# build .pyx files?
from distutils.core import setup, Extension
from Cython.Build import cythonize
import os
from os.path import join
import numpy
from sklearn._build_utils import get_blas_info
cblas_libs, blas_info = get_blas_info()
libraries = []
if os.name == 'posix':
cblas_libs.append('m')
libraries.append('m')
#
# setup(
# name = 'k_means_elkan',
# ext_modules = cythonize("_k_means_elkan.pyx"),
# )
# setup(
# name = '_k_means_elkan',
# ext_modules=[ cythonize("_k_means_elkan.pyx"),
# Extension("_k_means_elkan", ["_k_means_elkan.c"],
# include_dirs=[numpy.get_include()]),
# ],
# )
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
from numpy.distutils.system_info import get_info, BlasNotFoundError
config = Configuration('svm', parent_package, top_path)
config.add_subpackage('tests')
# Section LibSVM
# we compile both libsvm and libsvm_sparse
config.add_library(
'libsvm-skl',
sources=[join('src', 'libsvm', 'libsvm_template.cpp')],
depends=[
join('src', 'libsvm', 'svm.cpp'),
join('src', 'libsvm', 'svm.h')
],
# Force C++ linking in case gcc is picked up instead
# of g++ under windows with some versions of MinGW
extra_link_args=['-lstdc++'],
)
libsvm_sources = ['libsvm.c']
libsvm_depends = [
join('src', 'libsvm', 'libsvm_helper.c'),
join('src', 'libsvm', 'libsvm_template.cpp'),
join('src', 'libsvm', 'svm.cpp'),
join('src', 'libsvm', 'svm.h')
]
config.add_extension(
'libsvm',
sources=libsvm_sources,
include_dirs=[numpy.get_include(),
join('src', 'libsvm')],
libraries=['libsvm-skl'],
depends=libsvm_depends,
)
### liblinear module
cblas_libs, blas_info = get_blas_info()
if os.name == 'posix':
cblas_libs.append('m')
liblinear_sources = ['liblinear.c', join('src', 'liblinear', '*.cpp')]
liblinear_depends = [
join('src', 'liblinear', '*.h'),
join('src', 'liblinear', 'liblinear_helper.c')
]
config.add_extension(
'liblinear',
sources=liblinear_sources,
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', []),
depends=liblinear_depends,
# extra_compile_args=['-O0 -fno-inline'],
**blas_info)
## end liblinear module
# this should go *after* libsvm-skl
libsvm_sparse_sources = ['libsvm_sparse.c']
config.add_extension(
'libsvm_sparse',
libraries=['libsvm-skl'],
sources=libsvm_sparse_sources,
include_dirs=[numpy.get_include(),
join("src", "libsvm")],
depends=[
join("src", "libsvm", "svm.h"),
join("src", "libsvm", "libsvm_sparse_helper.c")
])
return config
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
from numpy.distutils.system_info import get_info, BlasNotFoundError
config = Configuration('svm', parent_package, top_path)
config.add_subpackage('tests')
# Section LibSVM
# we compile both libsvm and libsvm_sparse
config.add_library('libsvm-skl',
sources=[join('src', 'libsvm', 'libsvm_template.cpp')],
depends=[join('src', 'libsvm', 'svm.cpp'),
join('src', 'libsvm', 'svm.h')],
# Force C++ linking in case gcc is picked up instead
# of g++ under windows with some versions of MinGW
extra_link_args=['-lstdc++'],
)
libsvm_sources = ['libsvm.c']
libsvm_depends = [join('src', 'libsvm', 'libsvm_helper.c'),
join('src', 'libsvm', 'libsvm_template.cpp'),
join('src', 'libsvm', 'svm.cpp'),
join('src', 'libsvm', 'svm.h')]
config.add_extension('libsvm',
sources=libsvm_sources,
include_dirs=[numpy.get_include(),
join('src', 'libsvm')],
libraries=['libsvm-skl'],
depends=libsvm_depends,
)
### liblinear module
cblas_libs, blas_info = get_blas_info()
if os.name == 'posix':
cblas_libs.append('m')
liblinear_sources = ['liblinear.c',
join('src', 'liblinear', '*.cpp')]
liblinear_depends = [join('src', 'liblinear', '*.h'),
join('src', 'liblinear', 'liblinear_helper.c')]
config.add_extension('liblinear',
sources=liblinear_sources,
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',
[]),
depends=liblinear_depends,
# extra_compile_args=['-O0 -fno-inline'],
** blas_info)
## end liblinear module
# this should go *after* libsvm-skl
libsvm_sparse_sources = ['libsvm_sparse.c']
config.add_extension('libsvm_sparse', libraries=['libsvm-skl'],
sources=libsvm_sparse_sources,
include_dirs=[numpy.get_include(),
join("src", "libsvm")],
depends=[join("src", "libsvm", "svm.h"),
join("src", "libsvm",
"libsvm_sparse_helper.c")])
return config
