#!/usr/bin/env python # -*- coding: utf-8 -*- import os import re # Set this to True to enable building extensions using Cython. Set it to False· # to build extensions from the C file (that was previously generated using· # Cython). Set it to 'auto' to build with Cython if available, otherwise from· # the C file. USE_CYTHON = "auto" # If we are in a release, we always never use Cython directly IS_RELEASE = os.path.exists("PKG-INFO") if IS_RELEASE: USE_CYTHON = False # If we do want to use Cython, we double check if it is available if USE_CYTHON: try: from Cython.Build import cythonize except ImportError: if USE_CYTHON == "auto": USE_CYTHON = False else: raise def _skl_get_blas_info(): """Copyright notice for this function Copyright (c) 2007–2017 The scikit-learn developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: a. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. b. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. c. Neither the name of the Scikit-learn Developers nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. """ from numpy.distutils.system_info import get_info def atlas_not_found(blas_info_): def_macros = blas_info.get("define_macros", []) for x in def_macros: if x[0] == "NO_ATLAS_INFO": # if x[1] != 1 we should have lapack # how do we do that now? return True if x[0] == "ATLAS_INFO": if "None" in x[1]: # this one turned up on FreeBSD return True return False blas_info = get_info("blas_opt", 0) if (not blas_info) or atlas_not_found(blas_info): cblas_libs = ["cblas"] blas_info.pop("libraries", None) else: cblas_libs = blas_info.pop("libraries", []) return cblas_libs, blas_info def get_lapack_info(): from numpy.distutils.system_info import get_info def atlas_not_found(lapack_info_): def_macros = lapack_info.get("define_macros", []) for x in def_macros: if x[0] == "NO_ATLAS_INFO": return True if x[0] == "ATLAS_INFO": if "None" in x[1]: return True return False lapack_info = get_info("lapack_opt", 0) if (not lapack_info) or atlas_not_found(lapack_info): lapack_libs = ["lapacke"] lapack_info.pop("libraries", None) else: lapack_libs = lapack_info.pop("libraries", []) return lapack_libs, lapack_info def configuration(): from numpy.distutils.misc_util import Configuration config = Configuration("gensvm", "", None) cblas_libs, blas_info = _skl_get_blas_info() if os.name == "posix": cblas_libs.append("m") lapack_libs, lapack_info = get_lapack_info() if os.name == "posix": lapack_libs.append("m") # unsure if necessary # Wrapper code in Cython uses the .pyx extension if we want to USE_CYTHON, # otherwise it ends in .c. wrapper_extension = "*.pyx" if USE_CYTHON else "*.c" # Sources include the C/Cython code from the wrapper and the source code of # the C library gensvm_sources = [ os.path.join("gensvm", "cython_wrapper", wrapper_extension), os.path.join("src", "gensvm", "src", "*.c"), ] # Dependencies are the header files of the C library and any potential # helper code between the library and the Cython code gensvm_depends = [ os.path.join("src", "gensvm", "include", "*.h"), os.path.join("src", "gensvm", "gensvm_helper.c"), ] from numpy import get_include config.add_extension( "cython_wrapper.wrapper", sources=gensvm_sources, libraries=cblas_libs + lapack_libs, include_dirs=[ os.path.join("src", "gensvm"), os.path.join("src", "gensvm", "include"), get_include(), blas_info.pop("include_dirs", []), ], extra_compile_args=blas_info.pop("extra_compile_args", []), depends=gensvm_depends, **blas_info ) # Cythonize if necessary if USE_CYTHON: config.ext_modules = cythonize(config.ext_modules) return config def read(fname): return open(os.path.join(os.path.dirname(__file__), fname)).read() def check_requirements(): numpy_instructions = ( "Numerical Python (NumPy) is not installed on your " "system. This package is required for GenSVM. Please install " "NumPy using the instructions available here: " "https://docs.scipy.org/doc/numpy-1.13.0/user/install.html" ) try: import numpy numpy_version = numpy.__version__ except ImportError: raise ImportError(numpy_instructions) if __name__ == "__main__": check_requirements() version = re.search( '__version__ = "([^\']+)"', open("gensvm/__init__.py").read() ).group(1) attr = configuration().todict() attr["version"] = version attr["description"] = "Python package for the GenSVM classifier" attr["long_description"] = read("README.rst") attr["packages"] = ["gensvm"] attr["url"] = "https://github.com/GjjvdBurg/PyGenSVM" attr["author"] = "G.J.J. van den Burg" attr["author_email"] = "gertjanvandenburg@gmail.com" attr["license"] = "GPL v2" attr["install_requires"] = ["scikit-learn", "numpy"] from numpy.distutils.core import setup setup(**attr)