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setup.py
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setup.py
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try:
# Try to use setuptools so as to enable support of the special
# "Microsoft Visual C++ Compiler for Python 2.7" (http://aka.ms/vcpython27)
# for building under Windows.
# Note setuptools >= 6.0 is required for this.
from setuptools import setup, Extension
except ImportError:
from distutils.core import setup, Extension
from distutils.command import build
from distutils.spawn import spawn
from distutils import sysconfig
import sys
import os
import platform
import versioneer
if sys.platform.startswith('linux'):
# Patch for #2555 to make wheels without libpython
sysconfig.get_config_vars()['Py_ENABLE_SHARED'] = 0
class build_doc(build.build):
description = "build documentation"
def run(self):
spawn(['make', '-C', 'docs', 'html'])
versioneer.VCS = 'git'
versioneer.versionfile_source = 'numba/_version.py'
versioneer.versionfile_build = 'numba/_version.py'
versioneer.tag_prefix = ''
versioneer.parentdir_prefix = 'numba-'
cmdclass = versioneer.get_cmdclass()
cmdclass['build_doc'] = build_doc
GCCFLAGS = ["-std=c89", "-Wdeclaration-after-statement", "-Werror"]
if os.environ.get("NUMBA_GCC_FLAGS"):
CFLAGS = GCCFLAGS
else:
CFLAGS = ['-g']
install_name_tool_fixer = []
if sys.platform == 'darwin':
install_name_tool_fixer += ['-headerpad_max_install_names']
def is_building():
"""
Parse the setup.py command and return whether a build is requested.
If False is returned, only an informational command is run.
If True is returned, information about C extensions will have to
be passed to the setup() function.
"""
if len(sys.argv) < 2:
# User forgot to give an argument probably, let setuptools handle that.
return True
info_commands = ['--help-commands', '--name', '--version', '-V',
'--fullname', '--author', '--author-email',
'--maintainer', '--maintainer-email', '--contact',
'--contact-email', '--url', '--license', '--description',
'--long-description', '--platforms', '--classifiers',
'--keywords', '--provides', '--requires', '--obsoletes']
# Add commands that do more than print info, but also don't need
# any build step.
info_commands.extend(['egg_info', 'install_egg_info', 'rotate'])
for command in info_commands:
if command in sys.argv[1:]:
return False
return True
def is_building_wheel():
if len(sys.argv) < 2:
# No command is given.
return False
return 'bdist_wheel' in sys.argv[1:]
def get_ext_modules():
"""
Return a list of Extension instances for the setup() call.
"""
# Note we don't import Numpy at the toplevel, since setup.py
# should be able to run without Numpy for pip to discover the
# build dependencies
import numpy.distutils.misc_util as np_misc
# Inject required options for extensions compiled against the Numpy
# C API (include dirs, library dirs etc.)
np_compile_args = np_misc.get_info('npymath')
ext_dynfunc = Extension(name='numba._dynfunc',
sources=['numba/_dynfuncmod.c'],
extra_compile_args=CFLAGS,
depends=['numba/_pymodule.h',
'numba/_dynfunc.c'])
ext_dispatcher = Extension(name="numba._dispatcher",
sources=['numba/_dispatcher.c',
'numba/_typeof.c',
'numba/_hashtable.c',
'numba/_dispatcherimpl.cpp',
'numba/typeconv/typeconv.cpp'],
depends=["numba/_pymodule.h",
"numba/_dispatcher.h",
"numba/_typeof.h",
"numba/_hashtable.h"],
**np_compile_args)
ext_helperlib = Extension(name="numba._helperlib",
sources=["numba/_helpermod.c",
"numba/_math_c99.c"],
extra_compile_args=CFLAGS,
extra_link_args=install_name_tool_fixer,
depends=["numba/_pymodule.h",
"numba/_math_c99.h",
"numba/_helperlib.c",
"numba/_lapack.c",
"numba/_npymath_exports.c",
"numba/_random.c",
"numba/_dictobject.c",
"numba/_listobject.c",
"numba/mathnames.inc",
],
**np_compile_args)
ext_typeconv = Extension(name="numba.typeconv._typeconv",
sources=["numba/typeconv/typeconv.cpp",
"numba/typeconv/_typeconv.cpp"],
depends=["numba/_pymodule.h"],
)
ext_npyufunc_ufunc = Extension(name="numba.npyufunc._internal",
sources=["numba/npyufunc/_internal.c"],
depends=["numba/npyufunc/_ufunc.c",
"numba/npyufunc/_internal.h",
"numba/_pymodule.h"],
**np_compile_args)
ext_npyufunc_workqueue_impls = []
def check_file_at_path(path2file):
"""
Takes a list as a path, a single glob (*) is permitted as an entry which
indicates that expansion at this location is required (i.e. version
might not be known).
"""
found = None
path2check = [os.path.split(os.path.split(sys.executable)[0])[0]]
path2check += [os.getenv(n, '') for n in ['CONDA_PREFIX', 'PREFIX']]
if sys.platform.startswith('win'):
path2check += [os.path.join(p, 'Library') for p in path2check]
for p in path2check:
if p:
if '*' in path2file:
globloc = path2file.index('*')
searchroot = os.path.join(*path2file[:globloc])
try:
potential_locs = os.listdir(os.path.join(p, searchroot))
except BaseException:
continue
searchfor = path2file[globloc + 1:]
for x in potential_locs:
potpath = os.path.join(p, searchroot, x, *searchfor)
if os.path.isfile(potpath):
found = p # the latest is used
elif os.path.isfile(os.path.join(p, *path2file)):
found = p # the latest is used
return found
# Search for Intel TBB, first check env var TBBROOT then conda locations
tbb_root = os.getenv('TBBROOT')
if not tbb_root:
tbb_root = check_file_at_path(['include', 'tbb', 'tbb.h'])
# Set various flags for use in TBB and openmp. On OSX, also find OpenMP!
have_openmp = True
if sys.platform.startswith('win'):
cpp11flags = []
ompcompileflags = ['-openmp']
omplinkflags = []
elif sys.platform.startswith('darwin'):
cpp11flags = ['-std=c++11']
# This is a bit unusual but necessary...
# llvm (clang) OpenMP is used for headers etc at compile time
# Intel OpenMP (libiomp5) provides the link library.
# They are binary compatible and may not safely coexist in a process, as
# libiomp5 is more prevalent and often linked in for NumPy it is used
# here!
ompcompileflags = ['-fopenmp']
omplinkflags = ['-fopenmp=libiomp5']
omppath = ['lib', 'clang', '*', 'include', 'omp.h']
have_openmp = check_file_at_path(omppath)
else:
cpp11flags = ['-std=c++11']
ompcompileflags = ['-fopenmp']
if platform.machine() == 'ppc64le':
omplinkflags = ['-fopenmp']
else:
omplinkflags = ['-fopenmp']
if tbb_root:
print("Using Intel TBB from:", tbb_root)
ext_npyufunc_tbb_workqueue = Extension(
name='numba.npyufunc.tbbpool',
sources=['numba/npyufunc/tbbpool.cpp', 'numba/npyufunc/gufunc_scheduler.cpp'],
depends=['numba/npyufunc/workqueue.h'],
include_dirs=[os.path.join(tbb_root, 'include')],
extra_compile_args=cpp11flags,
libraries =['tbb'], # TODO: if --debug or -g, use 'tbb_debug'
library_dirs=[os.path.join(tbb_root, 'lib', 'intel64', 'gcc4.4'), # for Linux
os.path.join(tbb_root, 'lib'), # for MacOS
os.path.join(tbb_root, 'lib', 'intel64', 'vc_mt'), # for Windows
],
)
ext_npyufunc_workqueue_impls.append(ext_npyufunc_tbb_workqueue)
else:
print("TBB not found")
# Disable OpenMP if we are building a wheel or
# forced by user with NUMBA_NO_OPENMP=1
if is_building_wheel() or os.getenv('NUMBA_NO_OPENMP'):
print("OpenMP disabled")
elif have_openmp:
print("Using OpenMP from:", have_openmp)
# OpenMP backed work queue
ext_npyufunc_omppool = Extension( name='numba.npyufunc.omppool',
sources=['numba/npyufunc/omppool.cpp',
'numba/npyufunc/gufunc_scheduler.cpp'],
depends=['numba/npyufunc/workqueue.h'],
extra_compile_args=ompcompileflags + cpp11flags,
extra_link_args = omplinkflags)
ext_npyufunc_workqueue_impls.append(ext_npyufunc_omppool)
else:
print("OpenMP not found")
# Build the Numba workqueue implementation irrespective of whether the TBB
# version is built. Users can select a backend via env vars.
ext_npyufunc_workqueue = Extension(
name='numba.npyufunc.workqueue',
sources=['numba/npyufunc/workqueue.c', 'numba/npyufunc/gufunc_scheduler.cpp'],
depends=['numba/npyufunc/workqueue.h'])
ext_npyufunc_workqueue_impls.append(ext_npyufunc_workqueue)
ext_mviewbuf = Extension(name='numba.mviewbuf',
extra_link_args=install_name_tool_fixer,
sources=['numba/mviewbuf.c'])
ext_nrt_python = Extension(name='numba.runtime._nrt_python',
sources=['numba/runtime/_nrt_pythonmod.c',
'numba/runtime/nrt.c'],
depends=['numba/runtime/nrt.h',
'numba/_pymodule.h',
'numba/runtime/_nrt_python.c'],
**np_compile_args)
ext_jitclass_box = Extension(name='numba.jitclass._box',
sources=['numba/jitclass/_box.c'],
depends=['numba/_pymodule.h'],
)
ext_cuda_extras = Extension(name='numba.cuda.cudadrv._extras',
sources=['numba/cuda/cudadrv/_extras.c'],
depends=['numba/_pymodule.h'],
include_dirs=["numba"])
ext_modules = [ext_dynfunc, ext_dispatcher, ext_helperlib, ext_typeconv,
ext_npyufunc_ufunc, ext_mviewbuf, ext_nrt_python,
ext_jitclass_box, ext_cuda_extras]
ext_modules += ext_npyufunc_workqueue_impls
return ext_modules
def find_packages(root_dir, root_name):
"""
Recursively find packages in *root_dir*.
"""
packages = []
def rec(path, pkg_name):
packages.append(pkg_name)
for fn in sorted(os.listdir(path)):
subpath = os.path.join(path, fn)
if os.path.exists(os.path.join(subpath, "__init__.py")):
subname = "%s.%s" % (pkg_name, fn)
rec(subpath, subname)
rec(root_dir, root_name)
return packages
packages = find_packages("numba", "numba")
build_requires = ['numpy']
install_requires = ['llvmlite>=0.29.0dev0', 'numpy']
install_requires.extend(['enum34; python_version < "3.4"'])
install_requires.extend(['singledispatch; python_version < "3.4"'])
install_requires.extend(['funcsigs; python_version < "3.3"'])
metadata = dict(
name='numba',
description="compiling Python code using LLVM",
version=versioneer.get_version(),
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: BSD License",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Topic :: Software Development :: Compilers",
],
package_data={
# HTML templates for type annotations
"numba.annotations": ["*.html"],
# Various test data
"numba.cuda.tests.cudadrv.data": ["*.ptx"],
"numba.tests": ["pycc_distutils_usecase/*.py"],
# Some C files are needed by pycc
"numba": ["*.c", "*.h"],
"numba.pycc": ["*.c", "*.h"],
"numba.runtime": ["*.c", "*.h"],
# numba gdb hook init command language file
"numba.targets": ["cmdlang.gdb"],
},
scripts=["numba/pycc/pycc", "bin/numba"],
author="Anaconda, Inc.",
author_email="numba-users@continuum.io",
url="http://numba.github.com",
packages=packages,
setup_requires=build_requires,
install_requires=install_requires,
license="BSD",
cmdclass=cmdclass,
)
with open('README.rst') as f:
metadata['long_description'] = f.read()
if is_building():
metadata['ext_modules'] = get_ext_modules()
setup(**metadata)