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): 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("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