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#!/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", "scipy"]
from numpy.distutils.core import setup
setup(**attr)
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