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setup.py
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setup.py
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# Copyright 2018 D-Wave Systems Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from setuptools import setup
import numpy
from Cython.Build import cythonize
from setuptools.command.build_ext import build_ext as _build_ext
extra_compile_args = {
'msvc': ['/EHsc'],
'unix': ['-std=c++11'],
}
extra_link_args = {
'msvc': [],
'unix': ['-std=c++11'],
}
class build_ext(_build_ext):
def build_extensions(self):
compiler = self.compiler.compiler_type
compile_args = extra_compile_args[compiler]
for ext in self.extensions:
ext.extra_compile_args.extend(compile_args)
link_args = extra_link_args[compiler]
for ext in self.extensions:
ext.extra_compile_args.extend(link_args)
super().build_extensions()
def finalize_options(self):
# allow us to set/override the `-j` user option with the
# DIMOD_NUM_BUILD_JOBS env (inspired by NumPy's NPY_NUM_BUILD_JOBS).
# This is useful for building in CI via pip and other places where
# messing with PIP_GLOBAL_OPTION creates undesired side-effects.
# Note that this is different than building a single extension from
# multiple compiled object files. For that we could use NumPy's
# `numpy.distutils.ccompiler.CCompiler_compile` since we use
# NumPy at compile time.
parallel = os.getenv('DIMOD_NUM_BUILD_JOBS')
if parallel is not None:
self.parallel = parallel
super().finalize_options()
setup(
name='dimod',
cmdclass=dict(build_ext=build_ext),
ext_modules=cythonize(
['dimod/binary/cybqm/*.pyx',
'dimod/constrained/*.pyx',
'dimod/cyqmbase/*.pyx',
'dimod/discrete/cydiscrete_quadratic_model.pyx',
'dimod/quadratic/cyqm/*.pyx',
'dimod/*.pyx',
],
annotate=True,
nthreads=int(os.getenv('CYTHON_NTHREADS', 0)),
),
include_dirs=[
numpy.get_include(),
],
install_requires=[
# this is the oldest supported NumPy on Python 3.8
'numpy>=1.17.3,<2.0.0',
],
# we use the generic 'all' so that in the future we can add or remove
# packages without breaking things
extras_require=dict(all=''),
)