Current File : //opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/core/setup.py
import os
import sys
import sysconfig
import pickle
import copy
import warnings
import textwrap
import glob
from os.path import join
from numpy.distutils import log
from numpy.distutils.msvccompiler import lib_opts_if_msvc
from distutils.dep_util import newer
from sysconfig import get_config_var
from numpy.compat import npy_load_module
from setup_common import * # noqa: F403
# Set to True to enable relaxed strides checking. This (mostly) means
# that `strides[dim]` is ignored if `shape[dim] == 1` when setting flags.
NPY_RELAXED_STRIDES_CHECKING = (os.environ.get('NPY_RELAXED_STRIDES_CHECKING', "1") != "0")
if not NPY_RELAXED_STRIDES_CHECKING:
raise SystemError(
"Support for NPY_RELAXED_STRIDES_CHECKING=0 has been removed as of "
"NumPy 1.23. This error will eventually be removed entirely.")
# Put NPY_RELAXED_STRIDES_DEBUG=1 in the environment if you want numpy to use a
# bogus value for affected strides in order to help smoke out bad stride usage
# when relaxed stride checking is enabled.
NPY_RELAXED_STRIDES_DEBUG = (os.environ.get('NPY_RELAXED_STRIDES_DEBUG', "0") != "0")
NPY_RELAXED_STRIDES_DEBUG = NPY_RELAXED_STRIDES_DEBUG and NPY_RELAXED_STRIDES_CHECKING
# Set NPY_DISABLE_SVML=1 in the environment to disable the vendored SVML
# library. This option only has significance on a Linux x86_64 host and is most
# useful to avoid improperly requiring SVML when cross compiling.
NPY_DISABLE_SVML = (os.environ.get('NPY_DISABLE_SVML', "0") == "1")
# XXX: ugly, we use a class to avoid calling twice some expensive functions in
# config.h/numpyconfig.h. I don't see a better way because distutils force
# config.h generation inside an Extension class, and as such sharing
# configuration information between extensions is not easy.
# Using a pickled-based memoize does not work because config_cmd is an instance
# method, which cPickle does not like.
#
# Use pickle in all cases, as cPickle is gone in python3 and the difference
# in time is only in build. -- Charles Harris, 2013-03-30
class CallOnceOnly:
# NOTE: we don't need any of this in the Meson build,
# it takes care of caching
def __init__(self):
self._check_types = None
self._check_ieee_macros = None
self._check_complex = None
def check_types(self, *a, **kw):
if self._check_types is None:
out = check_types(*a, **kw)
self._check_types = pickle.dumps(out)
else:
out = copy.deepcopy(pickle.loads(self._check_types))
return out
def check_complex(self, *a, **kw):
if self._check_complex is None:
out = check_complex(*a, **kw)
self._check_complex = pickle.dumps(out)
else:
out = copy.deepcopy(pickle.loads(self._check_complex))
return out
def can_link_svml():
"""SVML library is supported only on x86_64 architecture and currently
only on linux
"""
if NPY_DISABLE_SVML:
return False
platform = sysconfig.get_platform()
return ("x86_64" in platform
and "linux" in platform
and sys.maxsize > 2**31)
def check_git_submodules():
out = os.popen("git submodule status")
modules = out.readlines()
for submodule in modules:
if (submodule.strip()[0] == "-"):
raise RuntimeError("git submodules are not initialized."
"Please run `git submodule update --init` to fix this.")
def pythonlib_dir():
"""return path where libpython* is."""
if sys.platform == 'win32':
return os.path.join(sys.prefix, "libs")
else:
return get_config_var('LIBDIR')
def is_npy_no_signal():
"""Return True if the NPY_NO_SIGNAL symbol must be defined in configuration
header."""
return sys.platform == 'win32'
def is_npy_no_smp():
"""Return True if the NPY_NO_SMP symbol must be defined in public
header (when SMP support cannot be reliably enabled)."""
# Perhaps a fancier check is in order here.
# so that threads are only enabled if there
# are actually multiple CPUS? -- but
# threaded code can be nice even on a single
# CPU so that long-calculating code doesn't
# block.
return 'NPY_NOSMP' in os.environ
def win32_checks(deflist):
from numpy.distutils.misc_util import get_build_architecture
a = get_build_architecture()
# Distutils hack on AMD64 on windows
print('BUILD_ARCHITECTURE: %r, os.name=%r, sys.platform=%r' %
(a, os.name, sys.platform))
if a == 'AMD64':
deflist.append('DISTUTILS_USE_SDK')
# On win32, force long double format string to be 'g', not
# 'Lg', since the MS runtime does not support long double whose
# size is > sizeof(double)
if a == "Intel" or a == "AMD64":
deflist.append('FORCE_NO_LONG_DOUBLE_FORMATTING')
def check_math_capabilities(config, ext, moredefs, mathlibs):
def check_func(
func_name,
decl=False,
headers=["feature_detection_math.h", "feature_detection_cmath.h"],
):
return config.check_func(
func_name,
libraries=mathlibs,
decl=decl,
call=True,
call_args=FUNC_CALL_ARGS[func_name],
headers=headers,
)
def check_funcs_once(
funcs_name,
headers=["feature_detection_math.h", "feature_detection_cmath.h"],
add_to_moredefs=True):
call = dict([(f, True) for f in funcs_name])
call_args = dict([(f, FUNC_CALL_ARGS[f]) for f in funcs_name])
st = config.check_funcs_once(
funcs_name,
libraries=mathlibs,
decl=False,
call=call,
call_args=call_args,
headers=headers,
)
if st and add_to_moredefs:
moredefs.extend([(fname2def(f), 1) for f in funcs_name])
return st
def check_funcs(
funcs_name,
headers=["feature_detection_math.h", "feature_detection_cmath.h"]):
# Use check_funcs_once first, and if it does not work, test func per
# func. Return success only if all the functions are available
if not check_funcs_once(funcs_name, headers=headers):
# Global check failed, check func per func
for f in funcs_name:
if check_func(f, headers=headers):
moredefs.append((fname2def(f), 1))
return 0
else:
return 1
#use_msvc = config.check_decl("_MSC_VER")
if not check_funcs_once(MANDATORY_FUNCS, add_to_moredefs=False):
raise SystemError("One of the required function to build numpy is not"
" available (the list is %s)." % str(MANDATORY_FUNCS))
# Standard functions which may not be available and for which we have a
# replacement implementation. Note that some of these are C99 functions.
# XXX: hack to circumvent cpp pollution from python: python put its
# config.h in the public namespace, so we have a clash for the common
# functions we test. We remove every function tested by python's
# autoconf, hoping their own test are correct
for f in OPTIONAL_FUNCS_MAYBE:
if config.check_decl(fname2def(f), headers=["Python.h"]):
OPTIONAL_FILE_FUNCS.remove(f)
check_funcs(OPTIONAL_FILE_FUNCS, headers=["feature_detection_stdio.h"])
check_funcs(OPTIONAL_MISC_FUNCS, headers=["feature_detection_misc.h"])
for h in OPTIONAL_HEADERS:
if config.check_func("", decl=False, call=False, headers=[h]):
h = h.replace(".", "_").replace(os.path.sep, "_")
moredefs.append((fname2def(h), 1))
# Try with both "locale.h" and "xlocale.h"
locale_headers = [
"stdlib.h",
"xlocale.h",
"feature_detection_locale.h",
]
if not check_funcs(OPTIONAL_LOCALE_FUNCS, headers=locale_headers):
# It didn't work with xlocale.h, maybe it will work with locale.h?
locale_headers[1] = "locale.h"
check_funcs(OPTIONAL_LOCALE_FUNCS, headers=locale_headers)
for tup in OPTIONAL_INTRINSICS:
headers = None
if len(tup) == 2:
f, args, m = tup[0], tup[1], fname2def(tup[0])
elif len(tup) == 3:
f, args, headers, m = tup[0], tup[1], [tup[2]], fname2def(tup[0])
else:
f, args, headers, m = tup[0], tup[1], [tup[2]], fname2def(tup[3])
if config.check_func(f, decl=False, call=True, call_args=args,
headers=headers):
moredefs.append((m, 1))
for dec, fn in OPTIONAL_FUNCTION_ATTRIBUTES:
if config.check_gcc_function_attribute(dec, fn):
moredefs.append((fname2def(fn), 1))
platform = sysconfig.get_platform()
for fn in OPTIONAL_VARIABLE_ATTRIBUTES:
if config.check_gcc_variable_attribute(fn):
m = fn.replace("(", "_").replace(")", "_")
moredefs.append((fname2def(m), 1))
def check_complex(config, mathlibs):
priv = []
pub = []
# Check for complex support
st = config.check_header('complex.h')
if st:
priv.append(('HAVE_COMPLEX_H', 1))
pub.append(('NPY_USE_C99_COMPLEX', 1))
for t in C99_COMPLEX_TYPES:
st = config.check_type(t, headers=["complex.h"])
if st:
pub.append(('NPY_HAVE_%s' % type2def(t), 1))
def check_prec(prec):
flist = [f + prec for f in C99_COMPLEX_FUNCS]
decl = dict([(f, True) for f in flist])
if not config.check_funcs_once(flist, call=decl, decl=decl,
libraries=mathlibs):
for f in flist:
if config.check_func(f, call=True, decl=True,
libraries=mathlibs):
priv.append((fname2def(f), 1))
else:
priv.extend([(fname2def(f), 1) for f in flist])
check_prec('')
check_prec('f')
check_prec('l')
return priv, pub
def check_types(config_cmd, ext, build_dir):
private_defines = []
public_defines = []
# Expected size (in number of bytes) for each type. This is an
# optimization: those are only hints, and an exhaustive search for the size
# is done if the hints are wrong.
expected = {'short': [2], 'int': [4], 'long': [8, 4],
'float': [4], 'double': [8], 'long double': [16, 12, 8],
'Py_intptr_t': [8, 4], 'PY_LONG_LONG': [8], 'long long': [8],
'off_t': [8, 4]}
# Check we have the python header (-dev* packages on Linux)
result = config_cmd.check_header('Python.h')
if not result:
python = 'python'
if '__pypy__' in sys.builtin_module_names:
python = 'pypy'
raise SystemError(
"Cannot compile 'Python.h'. Perhaps you need to "
"install {0}-dev|{0}-devel.".format(python))
res = config_cmd.check_header("endian.h")
if res:
private_defines.append(('HAVE_ENDIAN_H', 1))
public_defines.append(('NPY_HAVE_ENDIAN_H', 1))
res = config_cmd.check_header("sys/endian.h")
if res:
private_defines.append(('HAVE_SYS_ENDIAN_H', 1))
public_defines.append(('NPY_HAVE_SYS_ENDIAN_H', 1))
# Check basic types sizes
for type in ('short', 'int', 'long'):
res = config_cmd.check_decl("SIZEOF_%s" % sym2def(type), headers=["Python.h"])
if res:
public_defines.append(('NPY_SIZEOF_%s' % sym2def(type), "SIZEOF_%s" % sym2def(type)))
else:
res = config_cmd.check_type_size(type, expected=expected[type])
if res >= 0:
public_defines.append(('NPY_SIZEOF_%s' % sym2def(type), '%d' % res))
else:
raise SystemError("Checking sizeof (%s) failed !" % type)
for type in ('float', 'double', 'long double'):
already_declared = config_cmd.check_decl("SIZEOF_%s" % sym2def(type),
headers=["Python.h"])
res = config_cmd.check_type_size(type, expected=expected[type])
if res >= 0:
public_defines.append(('NPY_SIZEOF_%s' % sym2def(type), '%d' % res))
if not already_declared and not type == 'long double':
private_defines.append(('SIZEOF_%s' % sym2def(type), '%d' % res))
else:
raise SystemError("Checking sizeof (%s) failed !" % type)
# Compute size of corresponding complex type: used to check that our
# definition is binary compatible with C99 complex type (check done at
# build time in npy_common.h)
complex_def = "struct {%s __x; %s __y;}" % (type, type)
res = config_cmd.check_type_size(complex_def,
expected=[2 * x for x in expected[type]])
if res >= 0:
public_defines.append(('NPY_SIZEOF_COMPLEX_%s' % sym2def(type), '%d' % res))
else:
raise SystemError("Checking sizeof (%s) failed !" % complex_def)
for type in ('Py_intptr_t', 'off_t'):
res = config_cmd.check_type_size(type, headers=["Python.h"],
library_dirs=[pythonlib_dir()],
expected=expected[type])
if res >= 0:
private_defines.append(('SIZEOF_%s' % sym2def(type), '%d' % res))
public_defines.append(('NPY_SIZEOF_%s' % sym2def(type), '%d' % res))
else:
raise SystemError("Checking sizeof (%s) failed !" % type)
# We check declaration AND type because that's how distutils does it.
if config_cmd.check_decl('PY_LONG_LONG', headers=['Python.h']):
res = config_cmd.check_type_size('PY_LONG_LONG', headers=['Python.h'],
library_dirs=[pythonlib_dir()],
expected=expected['PY_LONG_LONG'])
if res >= 0:
private_defines.append(('SIZEOF_%s' % sym2def('PY_LONG_LONG'), '%d' % res))
public_defines.append(('NPY_SIZEOF_%s' % sym2def('PY_LONG_LONG'), '%d' % res))
else:
raise SystemError("Checking sizeof (%s) failed !" % 'PY_LONG_LONG')
res = config_cmd.check_type_size('long long',
expected=expected['long long'])
if res >= 0:
#private_defines.append(('SIZEOF_%s' % sym2def('long long'), '%d' % res))
public_defines.append(('NPY_SIZEOF_%s' % sym2def('long long'), '%d' % res))
else:
raise SystemError("Checking sizeof (%s) failed !" % 'long long')
if not config_cmd.check_decl('CHAR_BIT', headers=['Python.h']):
raise RuntimeError(
"Config wo CHAR_BIT is not supported"
", please contact the maintainers")
return private_defines, public_defines
# NOTE: this isn't needed in the Meson build,
# and we won't support a MATHLIB env var
def check_mathlib(config_cmd):
# Testing the C math library
mathlibs = []
mathlibs_choices = [[], ["m"], ["cpml"]]
mathlib = os.environ.get("MATHLIB")
if mathlib:
mathlibs_choices.insert(0, mathlib.split(","))
for libs in mathlibs_choices:
if config_cmd.check_func(
"log",
libraries=libs,
call_args="0",
decl="double log(double);",
call=True
):
mathlibs = libs
break
else:
raise RuntimeError(
"math library missing; rerun setup.py after setting the "
"MATHLIB env variable"
)
return mathlibs
def visibility_define(config):
"""Return the define value to use for NPY_VISIBILITY_HIDDEN (may be empty
string)."""
hide = '__attribute__((visibility("hidden")))'
if config.check_gcc_function_attribute(hide, 'hideme'):
return hide
else:
return ''
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import (Configuration, dot_join,
exec_mod_from_location)
from numpy.distutils.system_info import (get_info, blas_opt_info,
lapack_opt_info)
from numpy.version import release as is_released
config = Configuration('core', parent_package, top_path)
local_dir = config.local_path
codegen_dir = join(local_dir, 'code_generators')
# Check whether we have a mismatch between the set C API VERSION and the
# actual C API VERSION. Will raise a MismatchCAPIError if so.
check_api_version(C_API_VERSION, codegen_dir)
check_git_submodules()
generate_umath_py = join(codegen_dir, 'generate_umath.py')
n = dot_join(config.name, 'generate_umath')
generate_umath = exec_mod_from_location('_'.join(n.split('.')),
generate_umath_py)
header_dir = 'include/numpy' # this is relative to config.path_in_package
cocache = CallOnceOnly()
def generate_config_h(ext, build_dir):
target = join(build_dir, header_dir, 'config.h')
d = os.path.dirname(target)
if not os.path.exists(d):
os.makedirs(d)
if newer(__file__, target):
config_cmd = config.get_config_cmd()
log.info('Generating %s', target)
# Check sizeof
moredefs, ignored = cocache.check_types(config_cmd, ext, build_dir)
# Check math library and C99 math funcs availability
mathlibs = check_mathlib(config_cmd)
moredefs.append(('MATHLIB', ','.join(mathlibs)))
check_math_capabilities(config_cmd, ext, moredefs, mathlibs)
moredefs.extend(cocache.check_complex(config_cmd, mathlibs)[0])
# Signal check
if is_npy_no_signal():
moredefs.append('NPY_NO_SIGNAL')
# Windows checks
if sys.platform == 'win32' or os.name == 'nt':
win32_checks(moredefs)
# C99 restrict keyword
moredefs.append(('NPY_RESTRICT', config_cmd.check_restrict()))
# Inline check
inline = config_cmd.check_inline()
if can_link_svml():
moredefs.append(('NPY_CAN_LINK_SVML', 1))
# Use bogus stride debug aid to flush out bugs where users use
# strides of dimensions with length 1 to index a full contiguous
# array.
if NPY_RELAXED_STRIDES_DEBUG:
moredefs.append(('NPY_RELAXED_STRIDES_DEBUG', 1))
else:
moredefs.append(('NPY_RELAXED_STRIDES_DEBUG', 0))
# Get long double representation
rep = check_long_double_representation(config_cmd)
moredefs.append(('HAVE_LDOUBLE_%s' % rep, 1))
if check_for_right_shift_internal_compiler_error(config_cmd):
moredefs.append('NPY_DO_NOT_OPTIMIZE_LONG_right_shift')
moredefs.append('NPY_DO_NOT_OPTIMIZE_ULONG_right_shift')
moredefs.append('NPY_DO_NOT_OPTIMIZE_LONGLONG_right_shift')
moredefs.append('NPY_DO_NOT_OPTIMIZE_ULONGLONG_right_shift')
# Generate the config.h file from moredefs
with open(target, 'w') as target_f:
if sys.platform == 'darwin':
target_f.write(
"/* may be overridden by numpyconfig.h on darwin */\n"
)
for d in moredefs:
if isinstance(d, str):
target_f.write('#define %s\n' % (d))
else:
target_f.write('#define %s %s\n' % (d[0], d[1]))
# define inline to our keyword, or nothing
target_f.write('#ifndef __cplusplus\n')
if inline == 'inline':
target_f.write('/* #undef inline */\n')
else:
target_f.write('#define inline %s\n' % inline)
target_f.write('#endif\n')
# add the guard to make sure config.h is never included directly,
# but always through npy_config.h
target_f.write(textwrap.dedent("""
#ifndef NUMPY_CORE_SRC_COMMON_NPY_CONFIG_H_
#error config.h should never be included directly, include npy_config.h instead
#endif
"""))
log.info('File: %s' % target)
with open(target) as target_f:
log.info(target_f.read())
log.info('EOF')
else:
mathlibs = []
with open(target) as target_f:
for line in target_f:
s = '#define MATHLIB'
if line.startswith(s):
value = line[len(s):].strip()
if value:
mathlibs.extend(value.split(','))
# Ugly: this can be called within a library and not an extension,
# in which case there is no libraries attributes (and none is
# needed).
if hasattr(ext, 'libraries'):
ext.libraries.extend(mathlibs)
incl_dir = os.path.dirname(target)
if incl_dir not in config.numpy_include_dirs:
config.numpy_include_dirs.append(incl_dir)
return target
def generate_numpyconfig_h(ext, build_dir):
"""Depends on config.h: generate_config_h has to be called before !"""
# put common include directory in build_dir on search path
# allows using code generation in headers
config.add_include_dirs(join(build_dir, "src", "common"))
config.add_include_dirs(join(build_dir, "src", "npymath"))
target = join(build_dir, header_dir, '_numpyconfig.h')
d = os.path.dirname(target)
if not os.path.exists(d):
os.makedirs(d)
if newer(__file__, target):
config_cmd = config.get_config_cmd()
log.info('Generating %s', target)
# Check sizeof
ignored, moredefs = cocache.check_types(config_cmd, ext, build_dir)
if is_npy_no_signal():
moredefs.append(('NPY_NO_SIGNAL', 1))
if is_npy_no_smp():
moredefs.append(('NPY_NO_SMP', 1))
else:
moredefs.append(('NPY_NO_SMP', 0))
mathlibs = check_mathlib(config_cmd)
moredefs.extend(cocache.check_complex(config_cmd, mathlibs)[1])
if NPY_RELAXED_STRIDES_DEBUG:
moredefs.append(('NPY_RELAXED_STRIDES_DEBUG', 1))
# Check whether we can use inttypes (C99) formats
if config_cmd.check_decl('PRIdPTR', headers=['inttypes.h']):
moredefs.append(('NPY_USE_C99_FORMATS', 1))
# visibility check
hidden_visibility = visibility_define(config_cmd)
moredefs.append(('NPY_VISIBILITY_HIDDEN', hidden_visibility))
# Add the C API/ABI versions
moredefs.append(('NPY_ABI_VERSION', '0x%.8X' % C_ABI_VERSION))
moredefs.append(('NPY_API_VERSION', '0x%.8X' % C_API_VERSION))
# Add moredefs to header
with open(target, 'w') as target_f:
for d in moredefs:
if isinstance(d, str):
target_f.write('#define %s\n' % (d))
else:
target_f.write('#define %s %s\n' % (d[0], d[1]))
# Define __STDC_FORMAT_MACROS
target_f.write(textwrap.dedent("""
#ifndef __STDC_FORMAT_MACROS
#define __STDC_FORMAT_MACROS 1
#endif
"""))
# Dump the numpyconfig.h header to stdout
log.info('File: %s' % target)
with open(target) as target_f:
log.info(target_f.read())
log.info('EOF')
config.add_data_files((header_dir, target))
return target
def generate_api_func(module_name):
def generate_api(ext, build_dir):
script = join(codegen_dir, module_name + '.py')
sys.path.insert(0, codegen_dir)
try:
m = __import__(module_name)
log.info('executing %s', script)
h_file, c_file = m.generate_api(os.path.join(build_dir, header_dir))
finally:
del sys.path[0]
config.add_data_files((header_dir, h_file),
)
return (h_file,)
return generate_api
generate_numpy_api = generate_api_func('generate_numpy_api')
generate_ufunc_api = generate_api_func('generate_ufunc_api')
config.add_include_dirs(join(local_dir, "src", "common"))
config.add_include_dirs(join(local_dir, "src"))
config.add_include_dirs(join(local_dir))
config.add_data_dir('include/numpy')
config.add_include_dirs(join('src', 'npymath'))
config.add_include_dirs(join('src', 'multiarray'))
config.add_include_dirs(join('src', 'umath'))
config.add_include_dirs(join('src', 'npysort'))
config.add_include_dirs(join('src', '_simd'))
config.add_define_macros([("NPY_INTERNAL_BUILD", "1")]) # this macro indicates that Numpy build is in process
config.add_define_macros([("HAVE_NPY_CONFIG_H", "1")])
if sys.platform[:3] == "aix":
config.add_define_macros([("_LARGE_FILES", None)])
else:
config.add_define_macros([("_FILE_OFFSET_BITS", "64")])
config.add_define_macros([('_LARGEFILE_SOURCE', '1')])
config.add_define_macros([('_LARGEFILE64_SOURCE', '1')])
config.numpy_include_dirs.extend(config.paths('include'))
deps = [join('include', 'numpy', '*object.h'),
join(codegen_dir, 'genapi.py'),
]
#######################################################################
# npymath library #
#######################################################################
subst_dict = dict([("sep", os.path.sep), ("pkgname", "numpy.core")])
def get_mathlib_info(*args):
# Another ugly hack: the mathlib info is known once build_src is run,
# but we cannot use add_installed_pkg_config here either, so we only
# update the substitution dictionary during npymath build
config_cmd = config.get_config_cmd()
mlibs = check_mathlib(config_cmd)
posix_mlib = ' '.join(['-l%s' % l for l in mlibs])
msvc_mlib = ' '.join(['%s.lib' % l for l in mlibs])
subst_dict["posix_mathlib"] = posix_mlib
subst_dict["msvc_mathlib"] = msvc_mlib
npymath_sources = [join('src', 'npymath', 'npy_math_internal.h.src'),
join('src', 'npymath', 'npy_math.c'),
# join('src', 'npymath', 'ieee754.cpp'),
join('src', 'npymath', 'ieee754.c.src'),
join('src', 'npymath', 'npy_math_complex.c.src'),
join('src', 'npymath', 'halffloat.cpp'),
]
config.add_installed_library('npymath',
sources=npymath_sources + [get_mathlib_info],
install_dir='lib',
build_info={
'include_dirs' : [], # empty list required for creating npy_math_internal.h
'extra_compiler_args': [lib_opts_if_msvc],
})
config.add_npy_pkg_config("npymath.ini.in", "lib/npy-pkg-config",
subst_dict)
config.add_npy_pkg_config("mlib.ini.in", "lib/npy-pkg-config",
subst_dict)
#######################################################################
# multiarray_tests module #
#######################################################################
config.add_extension('_multiarray_tests',
sources=[join('src', 'multiarray', '_multiarray_tests.c.src'),
join('src', 'common', 'mem_overlap.c'),
join('src', 'common', 'npy_argparse.c'),
join('src', 'common', 'npy_hashtable.c')],
depends=[join('src', 'common', 'mem_overlap.h'),
join('src', 'common', 'npy_argparse.h'),
join('src', 'common', 'npy_hashtable.h'),
join('src', 'common', 'npy_extint128.h')],
libraries=['npymath'])
#######################################################################
# _multiarray_umath module - common part #
#######################################################################
common_deps = [
join('src', 'common', 'dlpack', 'dlpack.h'),
join('src', 'common', 'array_assign.h'),
join('src', 'common', 'binop_override.h'),
join('src', 'common', 'cblasfuncs.h'),
join('src', 'common', 'lowlevel_strided_loops.h'),
join('src', 'common', 'mem_overlap.h'),
join('src', 'common', 'npy_argparse.h'),
join('src', 'common', 'npy_cblas.h'),
join('src', 'common', 'npy_config.h'),
join('src', 'common', 'npy_ctypes.h'),
join('src', 'common', 'npy_dlpack.h'),
join('src', 'common', 'npy_extint128.h'),
join('src', 'common', 'npy_import.h'),
join('src', 'common', 'npy_hashtable.h'),
join('src', 'common', 'npy_longdouble.h'),
join('src', 'common', 'npy_svml.h'),
join('src', 'common', 'templ_common.h.src'),
join('src', 'common', 'ucsnarrow.h'),
join('src', 'common', 'ufunc_override.h'),
join('src', 'common', 'umathmodule.h'),
join('src', 'common', 'numpyos.h'),
join('src', 'common', 'npy_cpu_dispatch.h'),
join('src', 'common', 'simd', 'simd.h'),
join('src', 'common', 'common.hpp'),
]
common_src = [
join('src', 'common', 'array_assign.c'),
join('src', 'common', 'mem_overlap.c'),
join('src', 'common', 'npy_argparse.c'),
join('src', 'common', 'npy_hashtable.c'),
join('src', 'common', 'npy_longdouble.c'),
join('src', 'common', 'templ_common.h.src'),
join('src', 'common', 'ucsnarrow.c'),
join('src', 'common', 'ufunc_override.c'),
join('src', 'common', 'numpyos.c'),
join('src', 'common', 'npy_cpu_features.c'),
]
if os.environ.get('NPY_USE_BLAS_ILP64', "0") != "0":
blas_info = get_info('blas_ilp64_opt', 2)
else:
blas_info = get_info('blas_opt', 0)
have_blas = blas_info and ('HAVE_CBLAS', None) in blas_info.get('define_macros', [])
if have_blas:
extra_info = blas_info
# These files are also in MANIFEST.in so that they are always in
# the source distribution independently of HAVE_CBLAS.
common_src.extend([join('src', 'common', 'cblasfuncs.c'),
join('src', 'common', 'python_xerbla.c'),
])
else:
extra_info = {}
#######################################################################
# _multiarray_umath module - multiarray part #
#######################################################################
multiarray_deps = [
join('src', 'multiarray', 'abstractdtypes.h'),
join('src', 'multiarray', 'arrayobject.h'),
join('src', 'multiarray', 'arraytypes.h.src'),
join('src', 'multiarray', 'arrayfunction_override.h'),
join('src', 'multiarray', 'array_coercion.h'),
join('src', 'multiarray', 'array_method.h'),
join('src', 'multiarray', 'npy_buffer.h'),
join('src', 'multiarray', 'calculation.h'),
join('src', 'multiarray', 'common.h'),
join('src', 'multiarray', 'common_dtype.h'),
join('src', 'multiarray', 'convert_datatype.h'),
join('src', 'multiarray', 'convert.h'),
join('src', 'multiarray', 'conversion_utils.h'),
join('src', 'multiarray', 'ctors.h'),
join('src', 'multiarray', 'descriptor.h'),
join('src', 'multiarray', 'dtypemeta.h'),
join('src', 'multiarray', 'dtype_transfer.h'),
join('src', 'multiarray', 'dtype_traversal.h'),
join('src', 'multiarray', 'dragon4.h'),
join('src', 'multiarray', 'einsum_debug.h'),
join('src', 'multiarray', 'einsum_sumprod.h'),
join('src', 'multiarray', 'experimental_public_dtype_api.h'),
join('src', 'multiarray', 'getset.h'),
join('src', 'multiarray', 'hashdescr.h'),
join('src', 'multiarray', 'iterators.h'),
join('src', 'multiarray', 'legacy_dtype_implementation.h'),
join('src', 'multiarray', 'mapping.h'),
join('src', 'multiarray', 'methods.h'),
join('src', 'multiarray', 'multiarraymodule.h'),
join('src', 'multiarray', 'nditer_impl.h'),
join('src', 'multiarray', 'number.h'),
join('src', 'multiarray', 'refcount.h'),
join('src', 'multiarray', 'scalartypes.h'),
join('src', 'multiarray', 'sequence.h'),
join('src', 'multiarray', 'shape.h'),
join('src', 'multiarray', 'strfuncs.h'),
join('src', 'multiarray', 'typeinfo.h'),
join('src', 'multiarray', 'usertypes.h'),
join('src', 'multiarray', 'vdot.h'),
join('src', 'multiarray', 'textreading', 'readtext.h'),
join('include', 'numpy', 'arrayobject.h'),
join('include', 'numpy', '_neighborhood_iterator_imp.h'),
join('include', 'numpy', 'npy_endian.h'),
join('include', 'numpy', 'arrayscalars.h'),
join('include', 'numpy', 'noprefix.h'),
join('include', 'numpy', 'npy_interrupt.h'),
join('include', 'numpy', 'npy_3kcompat.h'),
join('include', 'numpy', 'npy_math.h'),
join('include', 'numpy', 'halffloat.h'),
join('include', 'numpy', 'npy_common.h'),
join('include', 'numpy', 'npy_os.h'),
join('include', 'numpy', 'utils.h'),
join('include', 'numpy', 'ndarrayobject.h'),
join('include', 'numpy', 'npy_cpu.h'),
join('include', 'numpy', 'numpyconfig.h'),
join('include', 'numpy', 'ndarraytypes.h'),
join('include', 'numpy', 'npy_1_7_deprecated_api.h'),
# add library sources as distuils does not consider libraries
# dependencies
] + npymath_sources
multiarray_src = [
join('src', 'multiarray', 'abstractdtypes.c'),
join('src', 'multiarray', 'alloc.c'),
join('src', 'multiarray', 'arrayobject.c'),
join('src', 'multiarray', 'arraytypes.h.src'),
join('src', 'multiarray', 'arraytypes.c.src'),
join('src', 'multiarray', 'argfunc.dispatch.c.src'),
join('src', 'multiarray', 'array_coercion.c'),
join('src', 'multiarray', 'array_method.c'),
join('src', 'multiarray', 'array_assign_scalar.c'),
join('src', 'multiarray', 'array_assign_array.c'),
join('src', 'multiarray', 'arrayfunction_override.c'),
join('src', 'multiarray', 'buffer.c'),
join('src', 'multiarray', 'calculation.c'),
join('src', 'multiarray', 'compiled_base.c'),
join('src', 'multiarray', 'common.c'),
join('src', 'multiarray', 'common_dtype.c'),
join('src', 'multiarray', 'convert.c'),
join('src', 'multiarray', 'convert_datatype.c'),
join('src', 'multiarray', 'conversion_utils.c'),
join('src', 'multiarray', 'ctors.c'),
join('src', 'multiarray', 'datetime.c'),
join('src', 'multiarray', 'datetime_strings.c'),
join('src', 'multiarray', 'datetime_busday.c'),
join('src', 'multiarray', 'datetime_busdaycal.c'),
join('src', 'multiarray', 'descriptor.c'),
join('src', 'multiarray', 'dlpack.c'),
join('src', 'multiarray', 'dtypemeta.c'),
join('src', 'multiarray', 'dragon4.c'),
join('src', 'multiarray', 'dtype_transfer.c'),
join('src', 'multiarray', 'dtype_traversal.c'),
join('src', 'multiarray', 'einsum.c.src'),
join('src', 'multiarray', 'einsum_sumprod.c.src'),
join('src', 'multiarray', 'experimental_public_dtype_api.c'),
join('src', 'multiarray', 'flagsobject.c'),
join('src', 'multiarray', 'getset.c'),
join('src', 'multiarray', 'hashdescr.c'),
join('src', 'multiarray', 'item_selection.c'),
join('src', 'multiarray', 'iterators.c'),
join('src', 'multiarray', 'legacy_dtype_implementation.c'),
join('src', 'multiarray', 'lowlevel_strided_loops.c.src'),
join('src', 'multiarray', 'mapping.c'),
join('src', 'multiarray', 'methods.c'),
join('src', 'multiarray', 'multiarraymodule.c'),
join('src', 'multiarray', 'nditer_templ.c.src'),
join('src', 'multiarray', 'nditer_api.c'),
join('src', 'multiarray', 'nditer_constr.c'),
join('src', 'multiarray', 'nditer_pywrap.c'),
join('src', 'multiarray', 'number.c'),
join('src', 'multiarray', 'refcount.c'),
join('src', 'multiarray', 'sequence.c'),
join('src', 'multiarray', 'shape.c'),
join('src', 'multiarray', 'scalarapi.c'),
join('src', 'multiarray', 'scalartypes.c.src'),
join('src', 'multiarray', 'strfuncs.c'),
join('src', 'multiarray', 'temp_elide.c'),
join('src', 'multiarray', 'typeinfo.c'),
join('src', 'multiarray', 'usertypes.c'),
join('src', 'multiarray', 'vdot.c'),
join('src', 'common', 'npy_sort.h.src'),
join('src', 'npysort', 'quicksort.cpp'),
join('src', 'npysort', 'mergesort.cpp'),
join('src', 'npysort', 'timsort.cpp'),
join('src', 'npysort', 'heapsort.cpp'),
join('src', 'npysort', 'radixsort.cpp'),
join('src', 'common', 'npy_partition.h'),
join('src', 'npysort', 'selection.cpp'),
join('src', 'common', 'npy_binsearch.h'),
join('src', 'npysort', 'binsearch.cpp'),
join('src', 'multiarray', 'textreading', 'conversions.c'),
join('src', 'multiarray', 'textreading', 'field_types.c'),
join('src', 'multiarray', 'textreading', 'growth.c'),
join('src', 'multiarray', 'textreading', 'readtext.c'),
join('src', 'multiarray', 'textreading', 'rows.c'),
join('src', 'multiarray', 'textreading', 'stream_pyobject.c'),
join('src', 'multiarray', 'textreading', 'str_to_int.c'),
join('src', 'multiarray', 'textreading', 'tokenize.cpp'),
# Remove this once scipy macos arm64 build correctly
# links to the arm64 npymath library,
# see gh-22673
join('src', 'npymath', 'arm64_exports.c'),
join('src', 'npysort', 'simd_qsort.dispatch.cpp'),
join('src', 'npysort', 'simd_qsort_16bit.dispatch.cpp'),
]
#######################################################################
# _multiarray_umath module - umath part #
#######################################################################
def generate_umath_c(ext, build_dir):
target = join(build_dir, header_dir, '__umath_generated.c')
dir = os.path.dirname(target)
if not os.path.exists(dir):
os.makedirs(dir)
script = generate_umath_py
if newer(script, target):
with open(target, 'w') as f:
f.write(generate_umath.make_code(generate_umath.defdict,
generate_umath.__file__))
return []
def generate_umath_doc_header(ext, build_dir):
from numpy.distutils.misc_util import exec_mod_from_location
target = join(build_dir, header_dir, '_umath_doc_generated.h')
dir = os.path.dirname(target)
if not os.path.exists(dir):
os.makedirs(dir)
generate_umath_doc_py = join(codegen_dir, 'generate_umath_doc.py')
if newer(generate_umath_doc_py, target):
n = dot_join(config.name, 'generate_umath_doc')
generate_umath_doc = exec_mod_from_location(
'_'.join(n.split('.')), generate_umath_doc_py)
generate_umath_doc.write_code(target)
umath_src = [
join('src', 'umath', 'umathmodule.c'),
join('src', 'umath', 'reduction.c'),
join('src', 'umath', 'funcs.inc.src'),
join('src', 'umath', 'loops.h.src'),
join('src', 'umath', 'loops_utils.h.src'),
join('src', 'umath', 'loops.c.src'),
join('src', 'umath', 'loops_unary.dispatch.c.src'),
join('src', 'umath', 'loops_unary_fp.dispatch.c.src'),
join('src', 'umath', 'loops_unary_fp_le.dispatch.c.src'),
join('src', 'umath', 'loops_arithm_fp.dispatch.c.src'),
join('src', 'umath', 'loops_arithmetic.dispatch.c.src'),
join('src', 'umath', 'loops_logical.dispatch.c.src'),
join('src', 'umath', 'loops_minmax.dispatch.c.src'),
join('src', 'umath', 'loops_trigonometric.dispatch.c.src'),
join('src', 'umath', 'loops_umath_fp.dispatch.c.src'),
join('src', 'umath', 'loops_exponent_log.dispatch.c.src'),
join('src', 'umath', 'loops_hyperbolic.dispatch.c.src'),
join('src', 'umath', 'loops_modulo.dispatch.c.src'),
join('src', 'umath', 'loops_comparison.dispatch.c.src'),
join('src', 'umath', 'loops_unary_complex.dispatch.c.src'),
join('src', 'umath', 'loops_autovec.dispatch.c.src'),
join('src', 'umath', 'matmul.h.src'),
join('src', 'umath', 'matmul.c.src'),
join('src', 'umath', 'clip.h'),
join('src', 'umath', 'clip.cpp'),
join('src', 'umath', 'dispatching.c'),
join('src', 'umath', 'legacy_array_method.c'),
join('src', 'umath', 'wrapping_array_method.c'),
join('src', 'umath', 'ufunc_object.c'),
join('src', 'umath', 'extobj.c'),
join('src', 'umath', 'scalarmath.c.src'),
join('src', 'umath', 'ufunc_type_resolution.c'),
join('src', 'umath', 'override.c'),
join('src', 'umath', 'string_ufuncs.cpp'),
# For testing. Eventually, should use public API and be separate:
join('src', 'umath', '_scaled_float_dtype.c'),
]
umath_deps = [
generate_umath_py,
join('include', 'numpy', 'npy_math.h'),
join('include', 'numpy', 'halffloat.h'),
join('src', 'multiarray', 'common.h'),
join('src', 'multiarray', 'number.h'),
join('src', 'common', 'templ_common.h.src'),
join('src', 'umath', 'override.h'),
join(codegen_dir, 'generate_ufunc_api.py'),
join(codegen_dir, 'ufunc_docstrings.py'),
]
svml_path = join('numpy', 'core', 'src', 'umath', 'svml')
svml_objs = []
# we have converted the following into universal intrinsics
# so we can bring the benefits of performance for all platforms
# not just for avx512 on linux without performance/accuracy regression,
# actually the other way around, better performance and
# after all maintainable code.
svml_filter = (
)
if can_link_svml():
svml_objs = glob.glob(svml_path + '/**/*.s', recursive=True)
svml_objs = [o for o in svml_objs if not o.endswith(svml_filter)]
# The ordering of names returned by glob is undefined, so we sort
# to make builds reproducible.
svml_objs.sort()
config.add_extension('_multiarray_umath',
sources=multiarray_src + umath_src +
common_src +
[generate_config_h,
generate_numpyconfig_h,
generate_numpy_api,
join(codegen_dir, 'generate_numpy_api.py'),
join('*.py'),
generate_umath_c,
generate_umath_doc_header,
generate_ufunc_api,
],
depends=deps + multiarray_deps + umath_deps +
common_deps,
libraries=['npymath'],
extra_objects=svml_objs,
extra_info=extra_info)
#######################################################################
# umath_tests module #
#######################################################################
config.add_extension('_umath_tests', sources=[
join('src', 'umath', '_umath_tests.c.src'),
join('src', 'umath', '_umath_tests.dispatch.c'),
join('src', 'common', 'npy_cpu_features.c'),
])
#######################################################################
# custom rational dtype module #
#######################################################################
config.add_extension('_rational_tests',
sources=[join('src', 'umath', '_rational_tests.c')])
#######################################################################
# struct_ufunc_test module #
#######################################################################
config.add_extension('_struct_ufunc_tests',
sources=[join('src', 'umath', '_struct_ufunc_tests.c')])
#######################################################################
# operand_flag_tests module #
#######################################################################
config.add_extension('_operand_flag_tests',
sources=[join('src', 'umath', '_operand_flag_tests.c')])
#######################################################################
# SIMD module #
#######################################################################
config.add_extension('_simd',
sources=[
join('src', 'common', 'npy_cpu_features.c'),
join('src', '_simd', '_simd.c'),
join('src', '_simd', '_simd_inc.h.src'),
join('src', '_simd', '_simd_data.inc.src'),
join('src', '_simd', '_simd.dispatch.c.src'),
], depends=[
join('src', 'common', 'npy_cpu_dispatch.h'),
join('src', 'common', 'simd', 'simd.h'),
join('src', '_simd', '_simd.h'),
join('src', '_simd', '_simd_inc.h.src'),
join('src', '_simd', '_simd_data.inc.src'),
join('src', '_simd', '_simd_arg.inc'),
join('src', '_simd', '_simd_convert.inc'),
join('src', '_simd', '_simd_easyintrin.inc'),
join('src', '_simd', '_simd_vector.inc'),
],
libraries=['npymath']
)
config.add_subpackage('tests')
config.add_data_dir('tests/data')
config.add_data_dir('tests/examples')
config.add_data_files('*.pyi')
config.make_svn_version_py()
return config
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(configuration=configuration)
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