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setup.py
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setup.py
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import os
import platform
import sys
from distutils import sysconfig
from distutils.command import build
from distutils.command.build_ext import build_ext
from distutils.spawn import spawn
from setuptools import Extension, find_packages, setup
import versioneer
_version_module = None
try:
from packaging import version as _version_module
except ImportError:
try:
from setuptools._vendor.packaging import version as _version_module
except ImportError:
pass
min_python_version = "3.7"
max_python_version = "3.11" # exclusive
min_numpy_build_version = "1.11"
min_numpy_run_version = "1.18"
min_llvmlite_version = "0.39.0dev0"
max_llvmlite_version = "0.40"
if sys.platform.startswith('linux'):
# Patch for #2555 to make wheels without libpython
sysconfig.get_config_vars()['Py_ENABLE_SHARED'] = 0
def _guard_py_ver():
if _version_module is None:
return
parse = _version_module.parse
min_py = parse(min_python_version)
max_py = parse(max_python_version)
cur_py = parse('.'.join(map(str, sys.version_info[:3])))
if not min_py <= cur_py < max_py:
msg = ('Cannot install on Python version {}; only versions >={},<{} '
'are supported.')
raise RuntimeError(msg.format(cur_py, min_py, max_py))
_guard_py_ver()
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
install_name_tool_fixer = []
if sys.platform == 'darwin':
install_name_tool_fixer += ['-headerpad_max_install_names']
build_ext = cmdclass.get('build_ext', build_ext)
numba_be_user_options = [
('werror', None, 'Build extensions with -Werror'),
('wall', None, 'Build extensions with -Wall'),
('noopt', None, 'Build extensions without optimization'),
]
class NumbaBuildExt(build_ext):
user_options = build_ext.user_options + numba_be_user_options
boolean_options = build_ext.boolean_options + ['werror', 'wall', 'noopt']
def initialize_options(self):
super().initialize_options()
self.werror = 0
self.wall = 0
self.noopt = 0
def run(self):
extra_compile_args = []
if self.noopt:
if sys.platform == 'win32':
extra_compile_args.append('/Od')
else:
extra_compile_args.append('-O0')
if self.werror:
extra_compile_args.append('-Werror')
if self.wall:
extra_compile_args.append('-Wall')
for ext in self.extensions:
ext.extra_compile_args.extend(extra_compile_args)
super().run()
cmdclass['build_ext'] = NumbaBuildExt
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
build_commands = ['build', 'build_py', 'build_ext', 'build_clib'
'build_scripts', 'install', 'install_lib',
'install_headers', 'install_scripts', 'install_data',
'sdist', 'bdist', 'bdist_dumb', 'bdist_rpm',
'bdist_wininst', 'check', 'build_doc', 'bdist_wheel',
'bdist_egg', 'develop', 'easy_install', 'test']
return any(bc in sys.argv[1:] for bc in build_commands)
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_devicearray = Extension(name='numba._devicearray',
sources=['numba/_devicearray.cpp'],
depends=['numba/_pymodule.h',
'numba/_devicearray.h'],
include_dirs=['numba'],
extra_compile_args=['-std=c++11'],
)
ext_dynfunc = Extension(name='numba._dynfunc',
sources=['numba/_dynfuncmod.c'],
depends=['numba/_pymodule.h',
'numba/_dynfunc.c'])
ext_dispatcher = Extension(name="numba._dispatcher",
sources=['numba/_dispatcher.cpp',
'numba/_typeof.c',
'numba/_hashtable.c',
'numba/core/typeconv/typeconv.cpp'],
depends=["numba/_pymodule.h",
"numba/_typeof.h",
"numba/_hashtable.h"],
**np_compile_args)
ext_helperlib = Extension(name="numba._helperlib",
sources=["numba/_helpermod.c",
"numba/cext/utils.c",
"numba/cext/dictobject.c",
"numba/cext/listobject.c",
],
extra_link_args=install_name_tool_fixer,
depends=["numba/_pymodule.h",
"numba/_helperlib.c",
"numba/_lapack.c",
"numba/_npymath_exports.c",
"numba/_random.c",
"numba/mathnames.inc",
],
**np_compile_args)
ext_typeconv = Extension(name="numba.core.typeconv._typeconv",
sources=["numba/core/typeconv/typeconv.cpp",
"numba/core/typeconv/_typeconv.cpp"],
depends=["numba/_pymodule.h"],
)
ext_np_ufunc = Extension(name="numba.np.ufunc._internal",
sources=["numba/np/ufunc/_internal.c"],
depends=["numba/np/ufunc/_ufunc.c",
"numba/np/ufunc/_internal.h",
"numba/_pymodule.h"],
**np_compile_args)
ext_npyufunc_num_threads = Extension(name="numba.np.ufunc._num_threads",
sources=[
"numba/np/ufunc/_num_threads.c"],
depends=["numba/_pymodule.h"],
)
ext_np_ufunc_backends = []
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
# 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']
# Disable tbb if forced by user with NUMBA_DISABLE_TBB=1
if os.getenv("NUMBA_DISABLE_TBB"):
print("TBB disabled")
else:
# 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'])
if tbb_root:
print("Using Intel TBB from:", tbb_root)
ext_np_ufunc_tbb_backend = Extension(
name='numba.np.ufunc.tbbpool',
sources=[
'numba/np/ufunc/tbbpool.cpp',
'numba/np/ufunc/gufunc_scheduler.cpp',
],
depends=['numba/np/ufunc/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=[
# for Linux
os.path.join(tbb_root, 'lib', 'intel64', 'gcc4.4'),
# for MacOS
os.path.join(tbb_root, 'lib'),
# for Windows
os.path.join(tbb_root, 'lib', 'intel64', 'vc_mt'),
],
)
ext_np_ufunc_backends.append(ext_np_ufunc_tbb_backend)
else:
print("TBB not found")
# Disable OpenMP if forced by user with NUMBA_DISABLE_OPENMP=1
if os.getenv('NUMBA_DISABLE_OPENMP'):
print("OpenMP disabled")
elif have_openmp:
print("Using OpenMP from:", have_openmp)
# OpenMP backed work queue
ext_np_ufunc_omppool_backend = Extension(
name='numba.np.ufunc.omppool',
sources=[
'numba/np/ufunc/omppool.cpp',
'numba/np/ufunc/gufunc_scheduler.cpp',
],
depends=['numba/np/ufunc/workqueue.h'],
extra_compile_args=ompcompileflags + cpp11flags,
extra_link_args=omplinkflags,
)
ext_np_ufunc_backends.append(ext_np_ufunc_omppool_backend)
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_np_ufunc_workqueue_backend = Extension(
name='numba.np.ufunc.workqueue',
sources=['numba/np/ufunc/workqueue.c',
'numba/np/ufunc/gufunc_scheduler.cpp'],
depends=['numba/np/ufunc/workqueue.h'])
ext_np_ufunc_backends.append(ext_np_ufunc_workqueue_backend)
ext_mviewbuf = Extension(name='numba.mviewbuf',
extra_link_args=install_name_tool_fixer,
sources=['numba/mviewbuf.c'])
ext_nrt_python = Extension(name='numba.core.runtime._nrt_python',
sources=['numba/core/runtime/_nrt_pythonmod.c',
'numba/core/runtime/nrt.c'],
depends=['numba/core/runtime/nrt.h',
'numba/_pymodule.h',
'numba/core/runtime/_nrt_python.c'],
**np_compile_args)
ext_jitclass_box = Extension(name='numba.experimental.jitclass._box',
sources=['numba/experimental/jitclass/_box.c'],
depends=['numba/experimental/_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_np_ufunc, ext_npyufunc_num_threads,
ext_mviewbuf, ext_nrt_python, ext_jitclass_box,
ext_cuda_extras, ext_devicearray]
ext_modules += ext_np_ufunc_backends
return ext_modules
packages = find_packages(include=["numba", "numba.*"])
build_requires = ['numpy >={}'.format(min_numpy_build_version)]
install_requires = [
'llvmlite >={},<{}'.format(min_llvmlite_version, max_llvmlite_version),
'numpy >={}'.format(min_numpy_run_version),
'setuptools',
'importlib_metadata; python_version < "3.9"',
]
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 :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Topic :: Software Development :: Compilers",
],
package_data={
# HTML templates for type annotations
"numba.core.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.core.runtime": ["*.c", "*.h"],
"numba.cext": ["*.c", "*.h"],
# numba gdb hook init command language file
"numba.misc": ["cmdlang.gdb"],
"numba.typed": ["py.typed"],
},
scripts=["numba/pycc/pycc", "bin/numba"],
url="https://numba.pydata.org",
packages=packages,
setup_requires=build_requires,
install_requires=install_requires,
python_requires=">={},<{}".format(min_python_version, max_python_version),
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)