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omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/numpy_distribution.py | # XXX: Handle setuptools ?
from distutils.core import Distribution
# This class is used because we add new files (sconscripts, and so on) with the
# scons command
class NumpyDistribution(Distribution):
def __init__(self, attrs = None):
# A list of (sconscripts, pre_hook, post_hook, src, parent_names)
self.scons_data = []
# A list of installable libraries
self.installed_libraries = []
# A dict of pkg_config files to generate/install
self.installed_pkg_config = {}
Distribution.__init__(self, attrs)
def has_scons_scripts(self):
return bool(self.scons_data)
| 634 | Python | 34.277776 | 79 | 0.660883 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/system_info.py | #!/usr/bin/env python3
"""
This file defines a set of system_info classes for getting
information about various resources (libraries, library directories,
include directories, etc.) in the system. Usage:
info_dict = get_info(<name>)
where <name> is a string 'atlas','x11','fftw','lapack','blas',
'lapack_src', 'blas_src', etc. For a complete list of allowed names,
see the definition of get_info() function below.
Returned info_dict is a dictionary which is compatible with
distutils.setup keyword arguments. If info_dict == {}, then the
asked resource is not available (system_info could not find it).
Several *_info classes specify an environment variable to specify
the locations of software. When setting the corresponding environment
variable to 'None' then the software will be ignored, even when it
is available in system.
Global parameters:
system_info.search_static_first - search static libraries (.a)
in precedence to shared ones (.so, .sl) if enabled.
system_info.verbosity - output the results to stdout if enabled.
The file 'site.cfg' is looked for in
1) Directory of main setup.py file being run.
2) Home directory of user running the setup.py file as ~/.numpy-site.cfg
3) System wide directory (location of this file...)
The first one found is used to get system configuration options The
format is that used by ConfigParser (i.e., Windows .INI style). The
section ALL is not intended for general use.
Appropriate defaults are used if nothing is specified.
The order of finding the locations of resources is the following:
1. environment variable
2. section in site.cfg
3. DEFAULT section in site.cfg
4. System default search paths (see ``default_*`` variables below).
Only the first complete match is returned.
Currently, the following classes are available, along with their section names:
Numeric_info:Numeric
_numpy_info:Numeric
_pkg_config_info:None
accelerate_info:accelerate
agg2_info:agg2
amd_info:amd
atlas_3_10_blas_info:atlas
atlas_3_10_blas_threads_info:atlas
atlas_3_10_info:atlas
atlas_3_10_threads_info:atlas
atlas_blas_info:atlas
atlas_blas_threads_info:atlas
atlas_info:atlas
atlas_threads_info:atlas
blas64__opt_info:ALL # usage recommended (general ILP64 BLAS, 64_ symbol suffix)
blas_ilp64_opt_info:ALL # usage recommended (general ILP64 BLAS)
blas_ilp64_plain_opt_info:ALL # usage recommended (general ILP64 BLAS, no symbol suffix)
blas_info:blas
blas_mkl_info:mkl
blas_opt_info:ALL # usage recommended
blas_src_info:blas_src
blis_info:blis
boost_python_info:boost_python
dfftw_info:fftw
dfftw_threads_info:fftw
djbfft_info:djbfft
f2py_info:ALL
fft_opt_info:ALL
fftw2_info:fftw
fftw3_info:fftw3
fftw_info:fftw
fftw_threads_info:fftw
flame_info:flame
freetype2_info:freetype2
gdk_2_info:gdk_2
gdk_info:gdk
gdk_pixbuf_2_info:gdk_pixbuf_2
gdk_pixbuf_xlib_2_info:gdk_pixbuf_xlib_2
gdk_x11_2_info:gdk_x11_2
gtkp_2_info:gtkp_2
gtkp_x11_2_info:gtkp_x11_2
lapack64__opt_info:ALL # usage recommended (general ILP64 LAPACK, 64_ symbol suffix)
lapack_atlas_3_10_info:atlas
lapack_atlas_3_10_threads_info:atlas
lapack_atlas_info:atlas
lapack_atlas_threads_info:atlas
lapack_ilp64_opt_info:ALL # usage recommended (general ILP64 LAPACK)
lapack_ilp64_plain_opt_info:ALL # usage recommended (general ILP64 LAPACK, no symbol suffix)
lapack_info:lapack
lapack_mkl_info:mkl
lapack_opt_info:ALL # usage recommended
lapack_src_info:lapack_src
mkl_info:mkl
numarray_info:numarray
numerix_info:numerix
numpy_info:numpy
openblas64__info:openblas64_
openblas64__lapack_info:openblas64_
openblas_clapack_info:openblas
openblas_ilp64_info:openblas_ilp64
openblas_ilp64_lapack_info:openblas_ilp64
openblas_info:openblas
openblas_lapack_info:openblas
sfftw_info:fftw
sfftw_threads_info:fftw
system_info:ALL
umfpack_info:umfpack
wx_info:wx
x11_info:x11
xft_info:xft
Note that blas_opt_info and lapack_opt_info honor the NPY_BLAS_ORDER
and NPY_LAPACK_ORDER environment variables to determine the order in which
specific BLAS and LAPACK libraries are searched for.
This search (or autodetection) can be bypassed by defining the environment
variables NPY_BLAS_LIBS and NPY_LAPACK_LIBS, which should then contain the
exact linker flags to use (language will be set to F77). Building against
Netlib BLAS/LAPACK or stub files, in order to be able to switch BLAS and LAPACK
implementations at runtime. If using this to build NumPy itself, it is
recommended to also define NPY_CBLAS_LIBS (assuming your BLAS library has a
CBLAS interface) to enable CBLAS usage for matrix multiplication (unoptimized
otherwise).
Example:
----------
[DEFAULT]
# default section
library_dirs = /usr/lib:/usr/local/lib:/opt/lib
include_dirs = /usr/include:/usr/local/include:/opt/include
src_dirs = /usr/local/src:/opt/src
# search static libraries (.a) in preference to shared ones (.so)
search_static_first = 0
[fftw]
libraries = rfftw, fftw
[atlas]
library_dirs = /usr/lib/3dnow:/usr/lib/3dnow/atlas
# for overriding the names of the atlas libraries
libraries = lapack, f77blas, cblas, atlas
[x11]
library_dirs = /usr/X11R6/lib
include_dirs = /usr/X11R6/include
----------
Note that the ``libraries`` key is the default setting for libraries.
Authors:
Pearu Peterson <[email protected]>, February 2002
David M. Cooke <[email protected]>, April 2002
Copyright 2002 Pearu Peterson all rights reserved,
Pearu Peterson <[email protected]>
Permission to use, modify, and distribute this software is given under the
terms of the NumPy (BSD style) license. See LICENSE.txt that came with
this distribution for specifics.
NO WARRANTY IS EXPRESSED OR IMPLIED. USE AT YOUR OWN RISK.
"""
import sys
import os
import re
import copy
import warnings
import subprocess
import textwrap
from glob import glob
from functools import reduce
from configparser import NoOptionError
from configparser import RawConfigParser as ConfigParser
# It seems that some people are importing ConfigParser from here so is
# good to keep its class name. Use of RawConfigParser is needed in
# order to be able to load path names with percent in them, like
# `feature%2Fcool` which is common on git flow branch names.
from distutils.errors import DistutilsError
from distutils.dist import Distribution
import sysconfig
from numpy.distutils import log
from distutils.util import get_platform
from numpy.distutils.exec_command import (
find_executable, filepath_from_subprocess_output,
)
from numpy.distutils.misc_util import (is_sequence, is_string,
get_shared_lib_extension)
from numpy.distutils.command.config import config as cmd_config
from numpy.distutils import customized_ccompiler as _customized_ccompiler
from numpy.distutils import _shell_utils
import distutils.ccompiler
import tempfile
import shutil
__all__ = ['system_info']
# Determine number of bits
import platform
_bits = {'32bit': 32, '64bit': 64}
platform_bits = _bits[platform.architecture()[0]]
global_compiler = None
def customized_ccompiler():
global global_compiler
if not global_compiler:
global_compiler = _customized_ccompiler()
return global_compiler
def _c_string_literal(s):
"""
Convert a python string into a literal suitable for inclusion into C code
"""
# only these three characters are forbidden in C strings
s = s.replace('\\', r'\\')
s = s.replace('"', r'\"')
s = s.replace('\n', r'\n')
return '"{}"'.format(s)
def libpaths(paths, bits):
"""Return a list of library paths valid on 32 or 64 bit systems.
Inputs:
paths : sequence
A sequence of strings (typically paths)
bits : int
An integer, the only valid values are 32 or 64. A ValueError exception
is raised otherwise.
Examples:
Consider a list of directories
>>> paths = ['/usr/X11R6/lib','/usr/X11/lib','/usr/lib']
For a 32-bit platform, this is already valid:
>>> np.distutils.system_info.libpaths(paths,32)
['/usr/X11R6/lib', '/usr/X11/lib', '/usr/lib']
On 64 bits, we prepend the '64' postfix
>>> np.distutils.system_info.libpaths(paths,64)
['/usr/X11R6/lib64', '/usr/X11R6/lib', '/usr/X11/lib64', '/usr/X11/lib',
'/usr/lib64', '/usr/lib']
"""
if bits not in (32, 64):
raise ValueError("Invalid bit size in libpaths: 32 or 64 only")
# Handle 32bit case
if bits == 32:
return paths
# Handle 64bit case
out = []
for p in paths:
out.extend([p + '64', p])
return out
if sys.platform == 'win32':
default_lib_dirs = ['C:\\',
os.path.join(sysconfig.get_config_var('exec_prefix'),
'libs')]
default_runtime_dirs = []
default_include_dirs = []
default_src_dirs = ['.']
default_x11_lib_dirs = []
default_x11_include_dirs = []
_include_dirs = [
'include',
'include/suitesparse',
]
_lib_dirs = [
'lib',
]
_include_dirs = [d.replace('/', os.sep) for d in _include_dirs]
_lib_dirs = [d.replace('/', os.sep) for d in _lib_dirs]
def add_system_root(library_root):
"""Add a package manager root to the include directories"""
global default_lib_dirs
global default_include_dirs
library_root = os.path.normpath(library_root)
default_lib_dirs.extend(
os.path.join(library_root, d) for d in _lib_dirs)
default_include_dirs.extend(
os.path.join(library_root, d) for d in _include_dirs)
# VCpkg is the de-facto package manager on windows for C/C++
# libraries. If it is on the PATH, then we append its paths here.
vcpkg = shutil.which('vcpkg')
if vcpkg:
vcpkg_dir = os.path.dirname(vcpkg)
if platform.architecture()[0] == '32bit':
specifier = 'x86'
else:
specifier = 'x64'
vcpkg_installed = os.path.join(vcpkg_dir, 'installed')
for vcpkg_root in [
os.path.join(vcpkg_installed, specifier + '-windows'),
os.path.join(vcpkg_installed, specifier + '-windows-static'),
]:
add_system_root(vcpkg_root)
# Conda is another popular package manager that provides libraries
conda = shutil.which('conda')
if conda:
conda_dir = os.path.dirname(conda)
add_system_root(os.path.join(conda_dir, '..', 'Library'))
add_system_root(os.path.join(conda_dir, 'Library'))
else:
default_lib_dirs = libpaths(['/usr/local/lib', '/opt/lib', '/usr/lib',
'/opt/local/lib', '/sw/lib'], platform_bits)
default_runtime_dirs = []
default_include_dirs = ['/usr/local/include',
'/opt/include',
# path of umfpack under macports
'/opt/local/include/ufsparse',
'/opt/local/include', '/sw/include',
'/usr/include/suitesparse']
default_src_dirs = ['.', '/usr/local/src', '/opt/src', '/sw/src']
default_x11_lib_dirs = libpaths(['/usr/X11R6/lib', '/usr/X11/lib',
'/usr/lib'], platform_bits)
default_x11_include_dirs = ['/usr/X11R6/include', '/usr/X11/include']
if os.path.exists('/usr/lib/X11'):
globbed_x11_dir = glob('/usr/lib/*/libX11.so')
if globbed_x11_dir:
x11_so_dir = os.path.split(globbed_x11_dir[0])[0]
default_x11_lib_dirs.extend([x11_so_dir, '/usr/lib/X11'])
default_x11_include_dirs.extend(['/usr/lib/X11/include',
'/usr/include/X11'])
with open(os.devnull, 'w') as tmp:
try:
p = subprocess.Popen(["gcc", "-print-multiarch"], stdout=subprocess.PIPE,
stderr=tmp)
except (OSError, DistutilsError):
# OSError if gcc is not installed, or SandboxViolation (DistutilsError
# subclass) if an old setuptools bug is triggered (see gh-3160).
pass
else:
triplet = str(p.communicate()[0].decode().strip())
if p.returncode == 0:
# gcc supports the "-print-multiarch" option
default_x11_lib_dirs += [os.path.join("/usr/lib/", triplet)]
default_lib_dirs += [os.path.join("/usr/lib/", triplet)]
if os.path.join(sys.prefix, 'lib') not in default_lib_dirs:
default_lib_dirs.insert(0, os.path.join(sys.prefix, 'lib'))
default_include_dirs.append(os.path.join(sys.prefix, 'include'))
default_src_dirs.append(os.path.join(sys.prefix, 'src'))
default_lib_dirs = [_m for _m in default_lib_dirs if os.path.isdir(_m)]
default_runtime_dirs = [_m for _m in default_runtime_dirs if os.path.isdir(_m)]
default_include_dirs = [_m for _m in default_include_dirs if os.path.isdir(_m)]
default_src_dirs = [_m for _m in default_src_dirs if os.path.isdir(_m)]
so_ext = get_shared_lib_extension()
def get_standard_file(fname):
"""Returns a list of files named 'fname' from
1) System-wide directory (directory-location of this module)
2) Users HOME directory (os.environ['HOME'])
3) Local directory
"""
# System-wide file
filenames = []
try:
f = __file__
except NameError:
f = sys.argv[0]
sysfile = os.path.join(os.path.split(os.path.abspath(f))[0],
fname)
if os.path.isfile(sysfile):
filenames.append(sysfile)
# Home directory
# And look for the user config file
try:
f = os.path.expanduser('~')
except KeyError:
pass
else:
user_file = os.path.join(f, fname)
if os.path.isfile(user_file):
filenames.append(user_file)
# Local file
if os.path.isfile(fname):
filenames.append(os.path.abspath(fname))
return filenames
def _parse_env_order(base_order, env):
""" Parse an environment variable `env` by splitting with "," and only returning elements from `base_order`
This method will sequence the environment variable and check for their
individual elements in `base_order`.
The items in the environment variable may be negated via '^item' or '!itema,itemb'.
It must start with ^/! to negate all options.
Raises
------
ValueError: for mixed negated and non-negated orders or multiple negated orders
Parameters
----------
base_order : list of str
the base list of orders
env : str
the environment variable to be parsed, if none is found, `base_order` is returned
Returns
-------
allow_order : list of str
allowed orders in lower-case
unknown_order : list of str
for values not overlapping with `base_order`
"""
order_str = os.environ.get(env, None)
# ensure all base-orders are lower-case (for easier comparison)
base_order = [order.lower() for order in base_order]
if order_str is None:
return base_order, []
neg = order_str.startswith('^') or order_str.startswith('!')
# Check format
order_str_l = list(order_str)
sum_neg = order_str_l.count('^') + order_str_l.count('!')
if neg:
if sum_neg > 1:
raise ValueError(f"Environment variable '{env}' may only contain a single (prefixed) negation: {order_str}")
# remove prefix
order_str = order_str[1:]
elif sum_neg > 0:
raise ValueError(f"Environment variable '{env}' may not mix negated an non-negated items: {order_str}")
# Split and lower case
orders = order_str.lower().split(',')
# to inform callee about non-overlapping elements
unknown_order = []
# if negated, we have to remove from the order
if neg:
allow_order = base_order.copy()
for order in orders:
if not order:
continue
if order not in base_order:
unknown_order.append(order)
continue
if order in allow_order:
allow_order.remove(order)
else:
allow_order = []
for order in orders:
if not order:
continue
if order not in base_order:
unknown_order.append(order)
continue
if order not in allow_order:
allow_order.append(order)
return allow_order, unknown_order
def get_info(name, notfound_action=0):
"""
notfound_action:
0 - do nothing
1 - display warning message
2 - raise error
"""
cl = {'armpl': armpl_info,
'blas_armpl': blas_armpl_info,
'lapack_armpl': lapack_armpl_info,
'fftw3_armpl': fftw3_armpl_info,
'atlas': atlas_info, # use lapack_opt or blas_opt instead
'atlas_threads': atlas_threads_info, # ditto
'atlas_blas': atlas_blas_info,
'atlas_blas_threads': atlas_blas_threads_info,
'lapack_atlas': lapack_atlas_info, # use lapack_opt instead
'lapack_atlas_threads': lapack_atlas_threads_info, # ditto
'atlas_3_10': atlas_3_10_info, # use lapack_opt or blas_opt instead
'atlas_3_10_threads': atlas_3_10_threads_info, # ditto
'atlas_3_10_blas': atlas_3_10_blas_info,
'atlas_3_10_blas_threads': atlas_3_10_blas_threads_info,
'lapack_atlas_3_10': lapack_atlas_3_10_info, # use lapack_opt instead
'lapack_atlas_3_10_threads': lapack_atlas_3_10_threads_info, # ditto
'flame': flame_info, # use lapack_opt instead
'mkl': mkl_info,
# openblas which may or may not have embedded lapack
'openblas': openblas_info, # use blas_opt instead
# openblas with embedded lapack
'openblas_lapack': openblas_lapack_info, # use blas_opt instead
'openblas_clapack': openblas_clapack_info, # use blas_opt instead
'blis': blis_info, # use blas_opt instead
'lapack_mkl': lapack_mkl_info, # use lapack_opt instead
'blas_mkl': blas_mkl_info, # use blas_opt instead
'accelerate': accelerate_info, # use blas_opt instead
'openblas64_': openblas64__info,
'openblas64__lapack': openblas64__lapack_info,
'openblas_ilp64': openblas_ilp64_info,
'openblas_ilp64_lapack': openblas_ilp64_lapack_info,
'x11': x11_info,
'fft_opt': fft_opt_info,
'fftw': fftw_info,
'fftw2': fftw2_info,
'fftw3': fftw3_info,
'dfftw': dfftw_info,
'sfftw': sfftw_info,
'fftw_threads': fftw_threads_info,
'dfftw_threads': dfftw_threads_info,
'sfftw_threads': sfftw_threads_info,
'djbfft': djbfft_info,
'blas': blas_info, # use blas_opt instead
'lapack': lapack_info, # use lapack_opt instead
'lapack_src': lapack_src_info,
'blas_src': blas_src_info,
'numpy': numpy_info,
'f2py': f2py_info,
'Numeric': Numeric_info,
'numeric': Numeric_info,
'numarray': numarray_info,
'numerix': numerix_info,
'lapack_opt': lapack_opt_info,
'lapack_ilp64_opt': lapack_ilp64_opt_info,
'lapack_ilp64_plain_opt': lapack_ilp64_plain_opt_info,
'lapack64__opt': lapack64__opt_info,
'blas_opt': blas_opt_info,
'blas_ilp64_opt': blas_ilp64_opt_info,
'blas_ilp64_plain_opt': blas_ilp64_plain_opt_info,
'blas64__opt': blas64__opt_info,
'boost_python': boost_python_info,
'agg2': agg2_info,
'wx': wx_info,
'gdk_pixbuf_xlib_2': gdk_pixbuf_xlib_2_info,
'gdk-pixbuf-xlib-2.0': gdk_pixbuf_xlib_2_info,
'gdk_pixbuf_2': gdk_pixbuf_2_info,
'gdk-pixbuf-2.0': gdk_pixbuf_2_info,
'gdk': gdk_info,
'gdk_2': gdk_2_info,
'gdk-2.0': gdk_2_info,
'gdk_x11_2': gdk_x11_2_info,
'gdk-x11-2.0': gdk_x11_2_info,
'gtkp_x11_2': gtkp_x11_2_info,
'gtk+-x11-2.0': gtkp_x11_2_info,
'gtkp_2': gtkp_2_info,
'gtk+-2.0': gtkp_2_info,
'xft': xft_info,
'freetype2': freetype2_info,
'umfpack': umfpack_info,
'amd': amd_info,
}.get(name.lower(), system_info)
return cl().get_info(notfound_action)
class NotFoundError(DistutilsError):
"""Some third-party program or library is not found."""
class AliasedOptionError(DistutilsError):
"""
Aliases entries in config files should not be existing.
In section '{section}' we found multiple appearances of options {options}."""
class AtlasNotFoundError(NotFoundError):
"""
Atlas (http://github.com/math-atlas/math-atlas) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [atlas]) or by setting
the ATLAS environment variable."""
class FlameNotFoundError(NotFoundError):
"""
FLAME (http://www.cs.utexas.edu/~flame/web/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [flame])."""
class LapackNotFoundError(NotFoundError):
"""
Lapack (http://www.netlib.org/lapack/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [lapack]) or by setting
the LAPACK environment variable."""
class LapackSrcNotFoundError(LapackNotFoundError):
"""
Lapack (http://www.netlib.org/lapack/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [lapack_src]) or by setting
the LAPACK_SRC environment variable."""
class LapackILP64NotFoundError(NotFoundError):
"""
64-bit Lapack libraries not found.
Known libraries in numpy/distutils/site.cfg file are:
openblas64_, openblas_ilp64
"""
class BlasOptNotFoundError(NotFoundError):
"""
Optimized (vendor) Blas libraries are not found.
Falls back to netlib Blas library which has worse performance.
A better performance should be easily gained by switching
Blas library."""
class BlasNotFoundError(NotFoundError):
"""
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable."""
class BlasILP64NotFoundError(NotFoundError):
"""
64-bit Blas libraries not found.
Known libraries in numpy/distutils/site.cfg file are:
openblas64_, openblas_ilp64
"""
class BlasSrcNotFoundError(BlasNotFoundError):
"""
Blas (http://www.netlib.org/blas/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [blas_src]) or by setting
the BLAS_SRC environment variable."""
class FFTWNotFoundError(NotFoundError):
"""
FFTW (http://www.fftw.org/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [fftw]) or by setting
the FFTW environment variable."""
class DJBFFTNotFoundError(NotFoundError):
"""
DJBFFT (https://cr.yp.to/djbfft.html) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [djbfft]) or by setting
the DJBFFT environment variable."""
class NumericNotFoundError(NotFoundError):
"""
Numeric (https://www.numpy.org/) module not found.
Get it from above location, install it, and retry setup.py."""
class X11NotFoundError(NotFoundError):
"""X11 libraries not found."""
class UmfpackNotFoundError(NotFoundError):
"""
UMFPACK sparse solver (https://www.cise.ufl.edu/research/sparse/umfpack/)
not found. Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [umfpack]) or by setting
the UMFPACK environment variable."""
class system_info:
""" get_info() is the only public method. Don't use others.
"""
dir_env_var = None
# XXX: search_static_first is disabled by default, may disappear in
# future unless it is proved to be useful.
search_static_first = 0
# The base-class section name is a random word "ALL" and is not really
# intended for general use. It cannot be None nor can it be DEFAULT as
# these break the ConfigParser. See gh-15338
section = 'ALL'
saved_results = {}
notfounderror = NotFoundError
def __init__(self,
default_lib_dirs=default_lib_dirs,
default_include_dirs=default_include_dirs,
):
self.__class__.info = {}
self.local_prefixes = []
defaults = {'library_dirs': os.pathsep.join(default_lib_dirs),
'include_dirs': os.pathsep.join(default_include_dirs),
'runtime_library_dirs': os.pathsep.join(default_runtime_dirs),
'rpath': '',
'src_dirs': os.pathsep.join(default_src_dirs),
'search_static_first': str(self.search_static_first),
'extra_compile_args': '', 'extra_link_args': ''}
self.cp = ConfigParser(defaults)
self.files = []
self.files.extend(get_standard_file('.numpy-site.cfg'))
self.files.extend(get_standard_file('site.cfg'))
self.parse_config_files()
if self.section is not None:
self.search_static_first = self.cp.getboolean(
self.section, 'search_static_first')
assert isinstance(self.search_static_first, int)
def parse_config_files(self):
self.cp.read(self.files)
if not self.cp.has_section(self.section):
if self.section is not None:
self.cp.add_section(self.section)
def calc_libraries_info(self):
libs = self.get_libraries()
dirs = self.get_lib_dirs()
# The extensions use runtime_library_dirs
r_dirs = self.get_runtime_lib_dirs()
# Intrinsic distutils use rpath, we simply append both entries
# as though they were one entry
r_dirs.extend(self.get_runtime_lib_dirs(key='rpath'))
info = {}
for lib in libs:
i = self.check_libs(dirs, [lib])
if i is not None:
dict_append(info, **i)
else:
log.info('Library %s was not found. Ignoring' % (lib))
if r_dirs:
i = self.check_libs(r_dirs, [lib])
if i is not None:
# Swap library keywords found to runtime_library_dirs
# the libraries are insisting on the user having defined
# them using the library_dirs, and not necessarily by
# runtime_library_dirs
del i['libraries']
i['runtime_library_dirs'] = i.pop('library_dirs')
dict_append(info, **i)
else:
log.info('Runtime library %s was not found. Ignoring' % (lib))
return info
def set_info(self, **info):
if info:
lib_info = self.calc_libraries_info()
dict_append(info, **lib_info)
# Update extra information
extra_info = self.calc_extra_info()
dict_append(info, **extra_info)
self.saved_results[self.__class__.__name__] = info
def get_option_single(self, *options):
""" Ensure that only one of `options` are found in the section
Parameters
----------
*options : list of str
a list of options to be found in the section (``self.section``)
Returns
-------
str :
the option that is uniquely found in the section
Raises
------
AliasedOptionError :
in case more than one of the options are found
"""
found = [self.cp.has_option(self.section, opt) for opt in options]
if sum(found) == 1:
return options[found.index(True)]
elif sum(found) == 0:
# nothing is found anyways
return options[0]
# Else we have more than 1 key found
if AliasedOptionError.__doc__ is None:
raise AliasedOptionError()
raise AliasedOptionError(AliasedOptionError.__doc__.format(
section=self.section, options='[{}]'.format(', '.join(options))))
def has_info(self):
return self.__class__.__name__ in self.saved_results
def calc_extra_info(self):
""" Updates the information in the current information with
respect to these flags:
extra_compile_args
extra_link_args
"""
info = {}
for key in ['extra_compile_args', 'extra_link_args']:
# Get values
opt = self.cp.get(self.section, key)
opt = _shell_utils.NativeParser.split(opt)
if opt:
tmp = {key: opt}
dict_append(info, **tmp)
return info
def get_info(self, notfound_action=0):
""" Return a dictionary with items that are compatible
with numpy.distutils.setup keyword arguments.
"""
flag = 0
if not self.has_info():
flag = 1
log.info(self.__class__.__name__ + ':')
if hasattr(self, 'calc_info'):
self.calc_info()
if notfound_action:
if not self.has_info():
if notfound_action == 1:
warnings.warn(self.notfounderror.__doc__, stacklevel=2)
elif notfound_action == 2:
raise self.notfounderror(self.notfounderror.__doc__)
else:
raise ValueError(repr(notfound_action))
if not self.has_info():
log.info(' NOT AVAILABLE')
self.set_info()
else:
log.info(' FOUND:')
res = self.saved_results.get(self.__class__.__name__)
if log.get_threshold() <= log.INFO and flag:
for k, v in res.items():
v = str(v)
if k in ['sources', 'libraries'] and len(v) > 270:
v = v[:120] + '...\n...\n...' + v[-120:]
log.info(' %s = %s', k, v)
log.info('')
return copy.deepcopy(res)
def get_paths(self, section, key):
dirs = self.cp.get(section, key).split(os.pathsep)
env_var = self.dir_env_var
if env_var:
if is_sequence(env_var):
e0 = env_var[-1]
for e in env_var:
if e in os.environ:
e0 = e
break
if not env_var[0] == e0:
log.info('Setting %s=%s' % (env_var[0], e0))
env_var = e0
if env_var and env_var in os.environ:
d = os.environ[env_var]
if d == 'None':
log.info('Disabled %s: %s',
self.__class__.__name__, '(%s is None)'
% (env_var,))
return []
if os.path.isfile(d):
dirs = [os.path.dirname(d)] + dirs
l = getattr(self, '_lib_names', [])
if len(l) == 1:
b = os.path.basename(d)
b = os.path.splitext(b)[0]
if b[:3] == 'lib':
log.info('Replacing _lib_names[0]==%r with %r' \
% (self._lib_names[0], b[3:]))
self._lib_names[0] = b[3:]
else:
ds = d.split(os.pathsep)
ds2 = []
for d in ds:
if os.path.isdir(d):
ds2.append(d)
for dd in ['include', 'lib']:
d1 = os.path.join(d, dd)
if os.path.isdir(d1):
ds2.append(d1)
dirs = ds2 + dirs
default_dirs = self.cp.get(self.section, key).split(os.pathsep)
dirs.extend(default_dirs)
ret = []
for d in dirs:
if len(d) > 0 and not os.path.isdir(d):
warnings.warn('Specified path %s is invalid.' % d, stacklevel=2)
continue
if d not in ret:
ret.append(d)
log.debug('( %s = %s )', key, ':'.join(ret))
return ret
def get_lib_dirs(self, key='library_dirs'):
return self.get_paths(self.section, key)
def get_runtime_lib_dirs(self, key='runtime_library_dirs'):
path = self.get_paths(self.section, key)
if path == ['']:
path = []
return path
def get_include_dirs(self, key='include_dirs'):
return self.get_paths(self.section, key)
def get_src_dirs(self, key='src_dirs'):
return self.get_paths(self.section, key)
def get_libs(self, key, default):
try:
libs = self.cp.get(self.section, key)
except NoOptionError:
if not default:
return []
if is_string(default):
return [default]
return default
return [b for b in [a.strip() for a in libs.split(',')] if b]
def get_libraries(self, key='libraries'):
if hasattr(self, '_lib_names'):
return self.get_libs(key, default=self._lib_names)
else:
return self.get_libs(key, '')
def library_extensions(self):
c = customized_ccompiler()
static_exts = []
if c.compiler_type != 'msvc':
# MSVC doesn't understand binutils
static_exts.append('.a')
if sys.platform == 'win32':
static_exts.append('.lib') # .lib is used by MSVC and others
if self.search_static_first:
exts = static_exts + [so_ext]
else:
exts = [so_ext] + static_exts
if sys.platform == 'cygwin':
exts.append('.dll.a')
if sys.platform == 'darwin':
exts.append('.dylib')
return exts
def check_libs(self, lib_dirs, libs, opt_libs=[]):
"""If static or shared libraries are available then return
their info dictionary.
Checks for all libraries as shared libraries first, then
static (or vice versa if self.search_static_first is True).
"""
exts = self.library_extensions()
info = None
for ext in exts:
info = self._check_libs(lib_dirs, libs, opt_libs, [ext])
if info is not None:
break
if not info:
log.info(' libraries %s not found in %s', ','.join(libs),
lib_dirs)
return info
def check_libs2(self, lib_dirs, libs, opt_libs=[]):
"""If static or shared libraries are available then return
their info dictionary.
Checks each library for shared or static.
"""
exts = self.library_extensions()
info = self._check_libs(lib_dirs, libs, opt_libs, exts)
if not info:
log.info(' libraries %s not found in %s', ','.join(libs),
lib_dirs)
return info
def _find_lib(self, lib_dir, lib, exts):
assert is_string(lib_dir)
# under windows first try without 'lib' prefix
if sys.platform == 'win32':
lib_prefixes = ['', 'lib']
else:
lib_prefixes = ['lib']
# for each library name, see if we can find a file for it.
for ext in exts:
for prefix in lib_prefixes:
p = self.combine_paths(lib_dir, prefix + lib + ext)
if p:
break
if p:
assert len(p) == 1
# ??? splitext on p[0] would do this for cygwin
# doesn't seem correct
if ext == '.dll.a':
lib += '.dll'
if ext == '.lib':
lib = prefix + lib
return lib
return False
def _find_libs(self, lib_dirs, libs, exts):
# make sure we preserve the order of libs, as it can be important
found_dirs, found_libs = [], []
for lib in libs:
for lib_dir in lib_dirs:
found_lib = self._find_lib(lib_dir, lib, exts)
if found_lib:
found_libs.append(found_lib)
if lib_dir not in found_dirs:
found_dirs.append(lib_dir)
break
return found_dirs, found_libs
def _check_libs(self, lib_dirs, libs, opt_libs, exts):
"""Find mandatory and optional libs in expected paths.
Missing optional libraries are silently forgotten.
"""
if not is_sequence(lib_dirs):
lib_dirs = [lib_dirs]
# First, try to find the mandatory libraries
found_dirs, found_libs = self._find_libs(lib_dirs, libs, exts)
if len(found_libs) > 0 and len(found_libs) == len(libs):
# Now, check for optional libraries
opt_found_dirs, opt_found_libs = self._find_libs(lib_dirs, opt_libs, exts)
found_libs.extend(opt_found_libs)
for lib_dir in opt_found_dirs:
if lib_dir not in found_dirs:
found_dirs.append(lib_dir)
info = {'libraries': found_libs, 'library_dirs': found_dirs}
return info
else:
return None
def combine_paths(self, *args):
"""Return a list of existing paths composed by all combinations
of items from the arguments.
"""
return combine_paths(*args)
class fft_opt_info(system_info):
def calc_info(self):
info = {}
fftw_info = get_info('fftw3') or get_info('fftw2') or get_info('dfftw')
djbfft_info = get_info('djbfft')
if fftw_info:
dict_append(info, **fftw_info)
if djbfft_info:
dict_append(info, **djbfft_info)
self.set_info(**info)
return
class fftw_info(system_info):
#variables to override
section = 'fftw'
dir_env_var = 'FFTW'
notfounderror = FFTWNotFoundError
ver_info = [{'name':'fftw3',
'libs':['fftw3'],
'includes':['fftw3.h'],
'macros':[('SCIPY_FFTW3_H', None)]},
{'name':'fftw2',
'libs':['rfftw', 'fftw'],
'includes':['fftw.h', 'rfftw.h'],
'macros':[('SCIPY_FFTW_H', None)]}]
def calc_ver_info(self, ver_param):
"""Returns True on successful version detection, else False"""
lib_dirs = self.get_lib_dirs()
incl_dirs = self.get_include_dirs()
opt = self.get_option_single(self.section + '_libs', 'libraries')
libs = self.get_libs(opt, ver_param['libs'])
info = self.check_libs(lib_dirs, libs)
if info is not None:
flag = 0
for d in incl_dirs:
if len(self.combine_paths(d, ver_param['includes'])) \
== len(ver_param['includes']):
dict_append(info, include_dirs=[d])
flag = 1
break
if flag:
dict_append(info, define_macros=ver_param['macros'])
else:
info = None
if info is not None:
self.set_info(**info)
return True
else:
log.info(' %s not found' % (ver_param['name']))
return False
def calc_info(self):
for i in self.ver_info:
if self.calc_ver_info(i):
break
class fftw2_info(fftw_info):
#variables to override
section = 'fftw'
dir_env_var = 'FFTW'
notfounderror = FFTWNotFoundError
ver_info = [{'name':'fftw2',
'libs':['rfftw', 'fftw'],
'includes':['fftw.h', 'rfftw.h'],
'macros':[('SCIPY_FFTW_H', None)]}
]
class fftw3_info(fftw_info):
#variables to override
section = 'fftw3'
dir_env_var = 'FFTW3'
notfounderror = FFTWNotFoundError
ver_info = [{'name':'fftw3',
'libs':['fftw3'],
'includes':['fftw3.h'],
'macros':[('SCIPY_FFTW3_H', None)]},
]
class fftw3_armpl_info(fftw_info):
section = 'fftw3'
dir_env_var = 'ARMPL_DIR'
notfounderror = FFTWNotFoundError
ver_info = [{'name': 'fftw3',
'libs': ['armpl_lp64_mp'],
'includes': ['fftw3.h'],
'macros': [('SCIPY_FFTW3_H', None)]}]
class dfftw_info(fftw_info):
section = 'fftw'
dir_env_var = 'FFTW'
ver_info = [{'name':'dfftw',
'libs':['drfftw', 'dfftw'],
'includes':['dfftw.h', 'drfftw.h'],
'macros':[('SCIPY_DFFTW_H', None)]}]
class sfftw_info(fftw_info):
section = 'fftw'
dir_env_var = 'FFTW'
ver_info = [{'name':'sfftw',
'libs':['srfftw', 'sfftw'],
'includes':['sfftw.h', 'srfftw.h'],
'macros':[('SCIPY_SFFTW_H', None)]}]
class fftw_threads_info(fftw_info):
section = 'fftw'
dir_env_var = 'FFTW'
ver_info = [{'name':'fftw threads',
'libs':['rfftw_threads', 'fftw_threads'],
'includes':['fftw_threads.h', 'rfftw_threads.h'],
'macros':[('SCIPY_FFTW_THREADS_H', None)]}]
class dfftw_threads_info(fftw_info):
section = 'fftw'
dir_env_var = 'FFTW'
ver_info = [{'name':'dfftw threads',
'libs':['drfftw_threads', 'dfftw_threads'],
'includes':['dfftw_threads.h', 'drfftw_threads.h'],
'macros':[('SCIPY_DFFTW_THREADS_H', None)]}]
class sfftw_threads_info(fftw_info):
section = 'fftw'
dir_env_var = 'FFTW'
ver_info = [{'name':'sfftw threads',
'libs':['srfftw_threads', 'sfftw_threads'],
'includes':['sfftw_threads.h', 'srfftw_threads.h'],
'macros':[('SCIPY_SFFTW_THREADS_H', None)]}]
class djbfft_info(system_info):
section = 'djbfft'
dir_env_var = 'DJBFFT'
notfounderror = DJBFFTNotFoundError
def get_paths(self, section, key):
pre_dirs = system_info.get_paths(self, section, key)
dirs = []
for d in pre_dirs:
dirs.extend(self.combine_paths(d, ['djbfft']) + [d])
return [d for d in dirs if os.path.isdir(d)]
def calc_info(self):
lib_dirs = self.get_lib_dirs()
incl_dirs = self.get_include_dirs()
info = None
for d in lib_dirs:
p = self.combine_paths(d, ['djbfft.a'])
if p:
info = {'extra_objects': p}
break
p = self.combine_paths(d, ['libdjbfft.a', 'libdjbfft' + so_ext])
if p:
info = {'libraries': ['djbfft'], 'library_dirs': [d]}
break
if info is None:
return
for d in incl_dirs:
if len(self.combine_paths(d, ['fftc8.h', 'fftfreq.h'])) == 2:
dict_append(info, include_dirs=[d],
define_macros=[('SCIPY_DJBFFT_H', None)])
self.set_info(**info)
return
return
class mkl_info(system_info):
section = 'mkl'
dir_env_var = 'MKLROOT'
_lib_mkl = ['mkl_rt']
def get_mkl_rootdir(self):
mklroot = os.environ.get('MKLROOT', None)
if mklroot is not None:
return mklroot
paths = os.environ.get('LD_LIBRARY_PATH', '').split(os.pathsep)
ld_so_conf = '/etc/ld.so.conf'
if os.path.isfile(ld_so_conf):
with open(ld_so_conf, 'r') as f:
for d in f:
d = d.strip()
if d:
paths.append(d)
intel_mkl_dirs = []
for path in paths:
path_atoms = path.split(os.sep)
for m in path_atoms:
if m.startswith('mkl'):
d = os.sep.join(path_atoms[:path_atoms.index(m) + 2])
intel_mkl_dirs.append(d)
break
for d in paths:
dirs = glob(os.path.join(d, 'mkl', '*'))
dirs += glob(os.path.join(d, 'mkl*'))
for sub_dir in dirs:
if os.path.isdir(os.path.join(sub_dir, 'lib')):
return sub_dir
return None
def __init__(self):
mklroot = self.get_mkl_rootdir()
if mklroot is None:
system_info.__init__(self)
else:
from .cpuinfo import cpu
if cpu.is_Itanium():
plt = '64'
elif cpu.is_Intel() and cpu.is_64bit():
plt = 'intel64'
else:
plt = '32'
system_info.__init__(
self,
default_lib_dirs=[os.path.join(mklroot, 'lib', plt)],
default_include_dirs=[os.path.join(mklroot, 'include')])
def calc_info(self):
lib_dirs = self.get_lib_dirs()
incl_dirs = self.get_include_dirs()
opt = self.get_option_single('mkl_libs', 'libraries')
mkl_libs = self.get_libs(opt, self._lib_mkl)
info = self.check_libs2(lib_dirs, mkl_libs)
if info is None:
return
dict_append(info,
define_macros=[('SCIPY_MKL_H', None),
('HAVE_CBLAS', None)],
include_dirs=incl_dirs)
if sys.platform == 'win32':
pass # win32 has no pthread library
else:
dict_append(info, libraries=['pthread'])
self.set_info(**info)
class lapack_mkl_info(mkl_info):
pass
class blas_mkl_info(mkl_info):
pass
class armpl_info(system_info):
section = 'armpl'
dir_env_var = 'ARMPL_DIR'
_lib_armpl = ['armpl_lp64_mp']
def calc_info(self):
lib_dirs = self.get_lib_dirs()
incl_dirs = self.get_include_dirs()
armpl_libs = self.get_libs('armpl_libs', self._lib_armpl)
info = self.check_libs2(lib_dirs, armpl_libs)
if info is None:
return
dict_append(info,
define_macros=[('SCIPY_MKL_H', None),
('HAVE_CBLAS', None)],
include_dirs=incl_dirs)
self.set_info(**info)
class lapack_armpl_info(armpl_info):
pass
class blas_armpl_info(armpl_info):
pass
class atlas_info(system_info):
section = 'atlas'
dir_env_var = 'ATLAS'
_lib_names = ['f77blas', 'cblas']
if sys.platform[:7] == 'freebsd':
_lib_atlas = ['atlas_r']
_lib_lapack = ['alapack_r']
else:
_lib_atlas = ['atlas']
_lib_lapack = ['lapack']
notfounderror = AtlasNotFoundError
def get_paths(self, section, key):
pre_dirs = system_info.get_paths(self, section, key)
dirs = []
for d in pre_dirs:
dirs.extend(self.combine_paths(d, ['atlas*', 'ATLAS*',
'sse', '3dnow', 'sse2']) + [d])
return [d for d in dirs if os.path.isdir(d)]
def calc_info(self):
lib_dirs = self.get_lib_dirs()
info = {}
opt = self.get_option_single('atlas_libs', 'libraries')
atlas_libs = self.get_libs(opt, self._lib_names + self._lib_atlas)
lapack_libs = self.get_libs('lapack_libs', self._lib_lapack)
atlas = None
lapack = None
atlas_1 = None
for d in lib_dirs:
atlas = self.check_libs2(d, atlas_libs, [])
if atlas is not None:
lib_dirs2 = [d] + self.combine_paths(d, ['atlas*', 'ATLAS*'])
lapack = self.check_libs2(lib_dirs2, lapack_libs, [])
if lapack is not None:
break
if atlas:
atlas_1 = atlas
log.info(self.__class__)
if atlas is None:
atlas = atlas_1
if atlas is None:
return
include_dirs = self.get_include_dirs()
h = (self.combine_paths(lib_dirs + include_dirs, 'cblas.h') or [None])
h = h[0]
if h:
h = os.path.dirname(h)
dict_append(info, include_dirs=[h])
info['language'] = 'c'
if lapack is not None:
dict_append(info, **lapack)
dict_append(info, **atlas)
elif 'lapack_atlas' in atlas['libraries']:
dict_append(info, **atlas)
dict_append(info,
define_macros=[('ATLAS_WITH_LAPACK_ATLAS', None)])
self.set_info(**info)
return
else:
dict_append(info, **atlas)
dict_append(info, define_macros=[('ATLAS_WITHOUT_LAPACK', None)])
message = textwrap.dedent("""
*********************************************************************
Could not find lapack library within the ATLAS installation.
*********************************************************************
""")
warnings.warn(message, stacklevel=2)
self.set_info(**info)
return
# Check if lapack library is complete, only warn if it is not.
lapack_dir = lapack['library_dirs'][0]
lapack_name = lapack['libraries'][0]
lapack_lib = None
lib_prefixes = ['lib']
if sys.platform == 'win32':
lib_prefixes.append('')
for e in self.library_extensions():
for prefix in lib_prefixes:
fn = os.path.join(lapack_dir, prefix + lapack_name + e)
if os.path.exists(fn):
lapack_lib = fn
break
if lapack_lib:
break
if lapack_lib is not None:
sz = os.stat(lapack_lib)[6]
if sz <= 4000 * 1024:
message = textwrap.dedent("""
*********************************************************************
Lapack library (from ATLAS) is probably incomplete:
size of %s is %sk (expected >4000k)
Follow the instructions in the KNOWN PROBLEMS section of the file
numpy/INSTALL.txt.
*********************************************************************
""") % (lapack_lib, sz / 1024)
warnings.warn(message, stacklevel=2)
else:
info['language'] = 'f77'
atlas_version, atlas_extra_info = get_atlas_version(**atlas)
dict_append(info, **atlas_extra_info)
self.set_info(**info)
class atlas_blas_info(atlas_info):
_lib_names = ['f77blas', 'cblas']
def calc_info(self):
lib_dirs = self.get_lib_dirs()
info = {}
opt = self.get_option_single('atlas_libs', 'libraries')
atlas_libs = self.get_libs(opt, self._lib_names + self._lib_atlas)
atlas = self.check_libs2(lib_dirs, atlas_libs, [])
if atlas is None:
return
include_dirs = self.get_include_dirs()
h = (self.combine_paths(lib_dirs + include_dirs, 'cblas.h') or [None])
h = h[0]
if h:
h = os.path.dirname(h)
dict_append(info, include_dirs=[h])
info['language'] = 'c'
info['define_macros'] = [('HAVE_CBLAS', None)]
atlas_version, atlas_extra_info = get_atlas_version(**atlas)
dict_append(atlas, **atlas_extra_info)
dict_append(info, **atlas)
self.set_info(**info)
return
class atlas_threads_info(atlas_info):
dir_env_var = ['PTATLAS', 'ATLAS']
_lib_names = ['ptf77blas', 'ptcblas']
class atlas_blas_threads_info(atlas_blas_info):
dir_env_var = ['PTATLAS', 'ATLAS']
_lib_names = ['ptf77blas', 'ptcblas']
class lapack_atlas_info(atlas_info):
_lib_names = ['lapack_atlas'] + atlas_info._lib_names
class lapack_atlas_threads_info(atlas_threads_info):
_lib_names = ['lapack_atlas'] + atlas_threads_info._lib_names
class atlas_3_10_info(atlas_info):
_lib_names = ['satlas']
_lib_atlas = _lib_names
_lib_lapack = _lib_names
class atlas_3_10_blas_info(atlas_3_10_info):
_lib_names = ['satlas']
def calc_info(self):
lib_dirs = self.get_lib_dirs()
info = {}
opt = self.get_option_single('atlas_lib', 'libraries')
atlas_libs = self.get_libs(opt, self._lib_names)
atlas = self.check_libs2(lib_dirs, atlas_libs, [])
if atlas is None:
return
include_dirs = self.get_include_dirs()
h = (self.combine_paths(lib_dirs + include_dirs, 'cblas.h') or [None])
h = h[0]
if h:
h = os.path.dirname(h)
dict_append(info, include_dirs=[h])
info['language'] = 'c'
info['define_macros'] = [('HAVE_CBLAS', None)]
atlas_version, atlas_extra_info = get_atlas_version(**atlas)
dict_append(atlas, **atlas_extra_info)
dict_append(info, **atlas)
self.set_info(**info)
return
class atlas_3_10_threads_info(atlas_3_10_info):
dir_env_var = ['PTATLAS', 'ATLAS']
_lib_names = ['tatlas']
_lib_atlas = _lib_names
_lib_lapack = _lib_names
class atlas_3_10_blas_threads_info(atlas_3_10_blas_info):
dir_env_var = ['PTATLAS', 'ATLAS']
_lib_names = ['tatlas']
class lapack_atlas_3_10_info(atlas_3_10_info):
pass
class lapack_atlas_3_10_threads_info(atlas_3_10_threads_info):
pass
class lapack_info(system_info):
section = 'lapack'
dir_env_var = 'LAPACK'
_lib_names = ['lapack']
notfounderror = LapackNotFoundError
def calc_info(self):
lib_dirs = self.get_lib_dirs()
opt = self.get_option_single('lapack_libs', 'libraries')
lapack_libs = self.get_libs(opt, self._lib_names)
info = self.check_libs(lib_dirs, lapack_libs, [])
if info is None:
return
info['language'] = 'f77'
self.set_info(**info)
class lapack_src_info(system_info):
# LAPACK_SRC is deprecated, please do not use this!
# Build or install a BLAS library via your package manager or from
# source separately.
section = 'lapack_src'
dir_env_var = 'LAPACK_SRC'
notfounderror = LapackSrcNotFoundError
def get_paths(self, section, key):
pre_dirs = system_info.get_paths(self, section, key)
dirs = []
for d in pre_dirs:
dirs.extend([d] + self.combine_paths(d, ['LAPACK*/SRC', 'SRC']))
return [d for d in dirs if os.path.isdir(d)]
def calc_info(self):
src_dirs = self.get_src_dirs()
src_dir = ''
for d in src_dirs:
if os.path.isfile(os.path.join(d, 'dgesv.f')):
src_dir = d
break
if not src_dir:
#XXX: Get sources from netlib. May be ask first.
return
# The following is extracted from LAPACK-3.0/SRC/Makefile.
# Added missing names from lapack-lite-3.1.1/SRC/Makefile
# while keeping removed names for Lapack-3.0 compatibility.
allaux = '''
ilaenv ieeeck lsame lsamen xerbla
iparmq
''' # *.f
laux = '''
bdsdc bdsqr disna labad lacpy ladiv lae2 laebz laed0 laed1
laed2 laed3 laed4 laed5 laed6 laed7 laed8 laed9 laeda laev2
lagtf lagts lamch lamrg lanst lapy2 lapy3 larnv larrb larre
larrf lartg laruv las2 lascl lasd0 lasd1 lasd2 lasd3 lasd4
lasd5 lasd6 lasd7 lasd8 lasd9 lasda lasdq lasdt laset lasq1
lasq2 lasq3 lasq4 lasq5 lasq6 lasr lasrt lassq lasv2 pttrf
stebz stedc steqr sterf
larra larrc larrd larr larrk larrj larrr laneg laisnan isnan
lazq3 lazq4
''' # [s|d]*.f
lasrc = '''
gbbrd gbcon gbequ gbrfs gbsv gbsvx gbtf2 gbtrf gbtrs gebak
gebal gebd2 gebrd gecon geequ gees geesx geev geevx gegs gegv
gehd2 gehrd gelq2 gelqf gels gelsd gelss gelsx gelsy geql2
geqlf geqp3 geqpf geqr2 geqrf gerfs gerq2 gerqf gesc2 gesdd
gesv gesvd gesvx getc2 getf2 getrf getri getrs ggbak ggbal
gges ggesx ggev ggevx ggglm gghrd gglse ggqrf ggrqf ggsvd
ggsvp gtcon gtrfs gtsv gtsvx gttrf gttrs gtts2 hgeqz hsein
hseqr labrd lacon laein lags2 lagtm lahqr lahrd laic1 lals0
lalsa lalsd langb lange langt lanhs lansb lansp lansy lantb
lantp lantr lapll lapmt laqgb laqge laqp2 laqps laqsb laqsp
laqsy lar1v lar2v larf larfb larfg larft larfx largv larrv
lartv larz larzb larzt laswp lasyf latbs latdf latps latrd
latrs latrz latzm lauu2 lauum pbcon pbequ pbrfs pbstf pbsv
pbsvx pbtf2 pbtrf pbtrs pocon poequ porfs posv posvx potf2
potrf potri potrs ppcon ppequ pprfs ppsv ppsvx pptrf pptri
pptrs ptcon pteqr ptrfs ptsv ptsvx pttrs ptts2 spcon sprfs
spsv spsvx sptrf sptri sptrs stegr stein sycon syrfs sysv
sysvx sytf2 sytrf sytri sytrs tbcon tbrfs tbtrs tgevc tgex2
tgexc tgsen tgsja tgsna tgsy2 tgsyl tpcon tprfs tptri tptrs
trcon trevc trexc trrfs trsen trsna trsyl trti2 trtri trtrs
tzrqf tzrzf
lacn2 lahr2 stemr laqr0 laqr1 laqr2 laqr3 laqr4 laqr5
''' # [s|c|d|z]*.f
sd_lasrc = '''
laexc lag2 lagv2 laln2 lanv2 laqtr lasy2 opgtr opmtr org2l
org2r orgbr orghr orgl2 orglq orgql orgqr orgr2 orgrq orgtr
orm2l orm2r ormbr ormhr orml2 ormlq ormql ormqr ormr2 ormr3
ormrq ormrz ormtr rscl sbev sbevd sbevx sbgst sbgv sbgvd sbgvx
sbtrd spev spevd spevx spgst spgv spgvd spgvx sptrd stev stevd
stevr stevx syev syevd syevr syevx sygs2 sygst sygv sygvd
sygvx sytd2 sytrd
''' # [s|d]*.f
cz_lasrc = '''
bdsqr hbev hbevd hbevx hbgst hbgv hbgvd hbgvx hbtrd hecon heev
heevd heevr heevx hegs2 hegst hegv hegvd hegvx herfs hesv
hesvx hetd2 hetf2 hetrd hetrf hetri hetrs hpcon hpev hpevd
hpevx hpgst hpgv hpgvd hpgvx hprfs hpsv hpsvx hptrd hptrf
hptri hptrs lacgv lacp2 lacpy lacrm lacrt ladiv laed0 laed7
laed8 laesy laev2 lahef lanhb lanhe lanhp lanht laqhb laqhe
laqhp larcm larnv lartg lascl laset lasr lassq pttrf rot spmv
spr stedc steqr symv syr ung2l ung2r ungbr unghr ungl2 unglq
ungql ungqr ungr2 ungrq ungtr unm2l unm2r unmbr unmhr unml2
unmlq unmql unmqr unmr2 unmr3 unmrq unmrz unmtr upgtr upmtr
''' # [c|z]*.f
#######
sclaux = laux + ' econd ' # s*.f
dzlaux = laux + ' secnd ' # d*.f
slasrc = lasrc + sd_lasrc # s*.f
dlasrc = lasrc + sd_lasrc # d*.f
clasrc = lasrc + cz_lasrc + ' srot srscl ' # c*.f
zlasrc = lasrc + cz_lasrc + ' drot drscl ' # z*.f
oclasrc = ' icmax1 scsum1 ' # *.f
ozlasrc = ' izmax1 dzsum1 ' # *.f
sources = ['s%s.f' % f for f in (sclaux + slasrc).split()] \
+ ['d%s.f' % f for f in (dzlaux + dlasrc).split()] \
+ ['c%s.f' % f for f in (clasrc).split()] \
+ ['z%s.f' % f for f in (zlasrc).split()] \
+ ['%s.f' % f for f in (allaux + oclasrc + ozlasrc).split()]
sources = [os.path.join(src_dir, f) for f in sources]
# Lapack 3.1:
src_dir2 = os.path.join(src_dir, '..', 'INSTALL')
sources += [os.path.join(src_dir2, p + 'lamch.f') for p in 'sdcz']
# Lapack 3.2.1:
sources += [os.path.join(src_dir, p + 'larfp.f') for p in 'sdcz']
sources += [os.path.join(src_dir, 'ila' + p + 'lr.f') for p in 'sdcz']
sources += [os.path.join(src_dir, 'ila' + p + 'lc.f') for p in 'sdcz']
# Should we check here actual existence of source files?
# Yes, the file listing is different between 3.0 and 3.1
# versions.
sources = [f for f in sources if os.path.isfile(f)]
info = {'sources': sources, 'language': 'f77'}
self.set_info(**info)
atlas_version_c_text = r'''
/* This file is generated from numpy/distutils/system_info.py */
void ATL_buildinfo(void);
int main(void) {
ATL_buildinfo();
return 0;
}
'''
_cached_atlas_version = {}
def get_atlas_version(**config):
libraries = config.get('libraries', [])
library_dirs = config.get('library_dirs', [])
key = (tuple(libraries), tuple(library_dirs))
if key in _cached_atlas_version:
return _cached_atlas_version[key]
c = cmd_config(Distribution())
atlas_version = None
info = {}
try:
s, o = c.get_output(atlas_version_c_text,
libraries=libraries, library_dirs=library_dirs,
)
if s and re.search(r'undefined reference to `_gfortran', o, re.M):
s, o = c.get_output(atlas_version_c_text,
libraries=libraries + ['gfortran'],
library_dirs=library_dirs,
)
if not s:
warnings.warn(textwrap.dedent("""
*****************************************************
Linkage with ATLAS requires gfortran. Use
python setup.py config_fc --fcompiler=gnu95 ...
when building extension libraries that use ATLAS.
Make sure that -lgfortran is used for C++ extensions.
*****************************************************
"""), stacklevel=2)
dict_append(info, language='f90',
define_macros=[('ATLAS_REQUIRES_GFORTRAN', None)])
except Exception: # failed to get version from file -- maybe on Windows
# look at directory name
for o in library_dirs:
m = re.search(r'ATLAS_(?P<version>\d+[.]\d+[.]\d+)_', o)
if m:
atlas_version = m.group('version')
if atlas_version is not None:
break
# final choice --- look at ATLAS_VERSION environment
# variable
if atlas_version is None:
atlas_version = os.environ.get('ATLAS_VERSION', None)
if atlas_version:
dict_append(info, define_macros=[(
'ATLAS_INFO', _c_string_literal(atlas_version))
])
else:
dict_append(info, define_macros=[('NO_ATLAS_INFO', -1)])
return atlas_version or '?.?.?', info
if not s:
m = re.search(r'ATLAS version (?P<version>\d+[.]\d+[.]\d+)', o)
if m:
atlas_version = m.group('version')
if atlas_version is None:
if re.search(r'undefined symbol: ATL_buildinfo', o, re.M):
atlas_version = '3.2.1_pre3.3.6'
else:
log.info('Status: %d', s)
log.info('Output: %s', o)
elif atlas_version == '3.2.1_pre3.3.6':
dict_append(info, define_macros=[('NO_ATLAS_INFO', -2)])
else:
dict_append(info, define_macros=[(
'ATLAS_INFO', _c_string_literal(atlas_version))
])
result = _cached_atlas_version[key] = atlas_version, info
return result
class lapack_opt_info(system_info):
notfounderror = LapackNotFoundError
# List of all known LAPACK libraries, in the default order
lapack_order = ['armpl', 'mkl', 'openblas', 'flame',
'accelerate', 'atlas', 'lapack']
order_env_var_name = 'NPY_LAPACK_ORDER'
def _calc_info_armpl(self):
info = get_info('lapack_armpl')
if info:
self.set_info(**info)
return True
return False
def _calc_info_mkl(self):
info = get_info('lapack_mkl')
if info:
self.set_info(**info)
return True
return False
def _calc_info_openblas(self):
info = get_info('openblas_lapack')
if info:
self.set_info(**info)
return True
info = get_info('openblas_clapack')
if info:
self.set_info(**info)
return True
return False
def _calc_info_flame(self):
info = get_info('flame')
if info:
self.set_info(**info)
return True
return False
def _calc_info_atlas(self):
info = get_info('atlas_3_10_threads')
if not info:
info = get_info('atlas_3_10')
if not info:
info = get_info('atlas_threads')
if not info:
info = get_info('atlas')
if info:
# Figure out if ATLAS has lapack...
# If not we need the lapack library, but not BLAS!
l = info.get('define_macros', [])
if ('ATLAS_WITH_LAPACK_ATLAS', None) in l \
or ('ATLAS_WITHOUT_LAPACK', None) in l:
# Get LAPACK (with possible warnings)
# If not found we don't accept anything
# since we can't use ATLAS with LAPACK!
lapack_info = self._get_info_lapack()
if not lapack_info:
return False
dict_append(info, **lapack_info)
self.set_info(**info)
return True
return False
def _calc_info_accelerate(self):
info = get_info('accelerate')
if info:
self.set_info(**info)
return True
return False
def _get_info_blas(self):
# Default to get the optimized BLAS implementation
info = get_info('blas_opt')
if not info:
warnings.warn(BlasNotFoundError.__doc__ or '', stacklevel=3)
info_src = get_info('blas_src')
if not info_src:
warnings.warn(BlasSrcNotFoundError.__doc__ or '', stacklevel=3)
return {}
dict_append(info, libraries=[('fblas_src', info_src)])
return info
def _get_info_lapack(self):
info = get_info('lapack')
if not info:
warnings.warn(LapackNotFoundError.__doc__ or '', stacklevel=3)
info_src = get_info('lapack_src')
if not info_src:
warnings.warn(LapackSrcNotFoundError.__doc__ or '', stacklevel=3)
return {}
dict_append(info, libraries=[('flapack_src', info_src)])
return info
def _calc_info_lapack(self):
info = self._get_info_lapack()
if info:
info_blas = self._get_info_blas()
dict_append(info, **info_blas)
dict_append(info, define_macros=[('NO_ATLAS_INFO', 1)])
self.set_info(**info)
return True
return False
def _calc_info_from_envvar(self):
info = {}
info['language'] = 'f77'
info['libraries'] = []
info['include_dirs'] = []
info['define_macros'] = []
info['extra_link_args'] = os.environ['NPY_LAPACK_LIBS'].split()
self.set_info(**info)
return True
def _calc_info(self, name):
return getattr(self, '_calc_info_{}'.format(name))()
def calc_info(self):
lapack_order, unknown_order = _parse_env_order(self.lapack_order, self.order_env_var_name)
if len(unknown_order) > 0:
raise ValueError("lapack_opt_info user defined "
"LAPACK order has unacceptable "
"values: {}".format(unknown_order))
if 'NPY_LAPACK_LIBS' in os.environ:
# Bypass autodetection, set language to F77 and use env var linker
# flags directly
self._calc_info_from_envvar()
return
for lapack in lapack_order:
if self._calc_info(lapack):
return
if 'lapack' not in lapack_order:
# Since the user may request *not* to use any library, we still need
# to raise warnings to signal missing packages!
warnings.warn(LapackNotFoundError.__doc__ or '', stacklevel=2)
warnings.warn(LapackSrcNotFoundError.__doc__ or '', stacklevel=2)
class _ilp64_opt_info_mixin:
symbol_suffix = None
symbol_prefix = None
def _check_info(self, info):
macros = dict(info.get('define_macros', []))
prefix = macros.get('BLAS_SYMBOL_PREFIX', '')
suffix = macros.get('BLAS_SYMBOL_SUFFIX', '')
if self.symbol_prefix not in (None, prefix):
return False
if self.symbol_suffix not in (None, suffix):
return False
return bool(info)
class lapack_ilp64_opt_info(lapack_opt_info, _ilp64_opt_info_mixin):
notfounderror = LapackILP64NotFoundError
lapack_order = ['openblas64_', 'openblas_ilp64']
order_env_var_name = 'NPY_LAPACK_ILP64_ORDER'
def _calc_info(self, name):
info = get_info(name + '_lapack')
if self._check_info(info):
self.set_info(**info)
return True
return False
class lapack_ilp64_plain_opt_info(lapack_ilp64_opt_info):
# Same as lapack_ilp64_opt_info, but fix symbol names
symbol_prefix = ''
symbol_suffix = ''
class lapack64__opt_info(lapack_ilp64_opt_info):
symbol_prefix = ''
symbol_suffix = '64_'
class blas_opt_info(system_info):
notfounderror = BlasNotFoundError
# List of all known BLAS libraries, in the default order
blas_order = ['armpl', 'mkl', 'blis', 'openblas',
'accelerate', 'atlas', 'blas']
order_env_var_name = 'NPY_BLAS_ORDER'
def _calc_info_armpl(self):
info = get_info('blas_armpl')
if info:
self.set_info(**info)
return True
return False
def _calc_info_mkl(self):
info = get_info('blas_mkl')
if info:
self.set_info(**info)
return True
return False
def _calc_info_blis(self):
info = get_info('blis')
if info:
self.set_info(**info)
return True
return False
def _calc_info_openblas(self):
info = get_info('openblas')
if info:
self.set_info(**info)
return True
return False
def _calc_info_atlas(self):
info = get_info('atlas_3_10_blas_threads')
if not info:
info = get_info('atlas_3_10_blas')
if not info:
info = get_info('atlas_blas_threads')
if not info:
info = get_info('atlas_blas')
if info:
self.set_info(**info)
return True
return False
def _calc_info_accelerate(self):
info = get_info('accelerate')
if info:
self.set_info(**info)
return True
return False
def _calc_info_blas(self):
# Warn about a non-optimized BLAS library
warnings.warn(BlasOptNotFoundError.__doc__ or '', stacklevel=3)
info = {}
dict_append(info, define_macros=[('NO_ATLAS_INFO', 1)])
blas = get_info('blas')
if blas:
dict_append(info, **blas)
else:
# Not even BLAS was found!
warnings.warn(BlasNotFoundError.__doc__ or '', stacklevel=3)
blas_src = get_info('blas_src')
if not blas_src:
warnings.warn(BlasSrcNotFoundError.__doc__ or '', stacklevel=3)
return False
dict_append(info, libraries=[('fblas_src', blas_src)])
self.set_info(**info)
return True
def _calc_info_from_envvar(self):
info = {}
info['language'] = 'f77'
info['libraries'] = []
info['include_dirs'] = []
info['define_macros'] = []
info['extra_link_args'] = os.environ['NPY_BLAS_LIBS'].split()
if 'NPY_CBLAS_LIBS' in os.environ:
info['define_macros'].append(('HAVE_CBLAS', None))
info['extra_link_args'].extend(
os.environ['NPY_CBLAS_LIBS'].split())
self.set_info(**info)
return True
def _calc_info(self, name):
return getattr(self, '_calc_info_{}'.format(name))()
def calc_info(self):
blas_order, unknown_order = _parse_env_order(self.blas_order, self.order_env_var_name)
if len(unknown_order) > 0:
raise ValueError("blas_opt_info user defined BLAS order has unacceptable values: {}".format(unknown_order))
if 'NPY_BLAS_LIBS' in os.environ:
# Bypass autodetection, set language to F77 and use env var linker
# flags directly
self._calc_info_from_envvar()
return
for blas in blas_order:
if self._calc_info(blas):
return
if 'blas' not in blas_order:
# Since the user may request *not* to use any library, we still need
# to raise warnings to signal missing packages!
warnings.warn(BlasNotFoundError.__doc__ or '', stacklevel=2)
warnings.warn(BlasSrcNotFoundError.__doc__ or '', stacklevel=2)
class blas_ilp64_opt_info(blas_opt_info, _ilp64_opt_info_mixin):
notfounderror = BlasILP64NotFoundError
blas_order = ['openblas64_', 'openblas_ilp64']
order_env_var_name = 'NPY_BLAS_ILP64_ORDER'
def _calc_info(self, name):
info = get_info(name)
if self._check_info(info):
self.set_info(**info)
return True
return False
class blas_ilp64_plain_opt_info(blas_ilp64_opt_info):
symbol_prefix = ''
symbol_suffix = ''
class blas64__opt_info(blas_ilp64_opt_info):
symbol_prefix = ''
symbol_suffix = '64_'
class cblas_info(system_info):
section = 'cblas'
dir_env_var = 'CBLAS'
# No default as it's used only in blas_info
_lib_names = []
notfounderror = BlasNotFoundError
class blas_info(system_info):
section = 'blas'
dir_env_var = 'BLAS'
_lib_names = ['blas']
notfounderror = BlasNotFoundError
def calc_info(self):
lib_dirs = self.get_lib_dirs()
opt = self.get_option_single('blas_libs', 'libraries')
blas_libs = self.get_libs(opt, self._lib_names)
info = self.check_libs(lib_dirs, blas_libs, [])
if info is None:
return
else:
info['include_dirs'] = self.get_include_dirs()
if platform.system() == 'Windows':
# The check for windows is needed because get_cblas_libs uses the
# same compiler that was used to compile Python and msvc is
# often not installed when mingw is being used. This rough
# treatment is not desirable, but windows is tricky.
info['language'] = 'f77' # XXX: is it generally true?
# If cblas is given as an option, use those
cblas_info_obj = cblas_info()
cblas_opt = cblas_info_obj.get_option_single('cblas_libs', 'libraries')
cblas_libs = cblas_info_obj.get_libs(cblas_opt, None)
if cblas_libs:
info['libraries'] = cblas_libs + blas_libs
info['define_macros'] = [('HAVE_CBLAS', None)]
else:
lib = self.get_cblas_libs(info)
if lib is not None:
info['language'] = 'c'
info['libraries'] = lib
info['define_macros'] = [('HAVE_CBLAS', None)]
self.set_info(**info)
def get_cblas_libs(self, info):
""" Check whether we can link with CBLAS interface
This method will search through several combinations of libraries
to check whether CBLAS is present:
1. Libraries in ``info['libraries']``, as is
2. As 1. but also explicitly adding ``'cblas'`` as a library
3. As 1. but also explicitly adding ``'blas'`` as a library
4. Check only library ``'cblas'``
5. Check only library ``'blas'``
Parameters
----------
info : dict
system information dictionary for compilation and linking
Returns
-------
libraries : list of str or None
a list of libraries that enables the use of CBLAS interface.
Returns None if not found or a compilation error occurs.
Since 1.17 returns a list.
"""
# primitive cblas check by looking for the header and trying to link
# cblas or blas
c = customized_ccompiler()
tmpdir = tempfile.mkdtemp()
s = textwrap.dedent("""\
#include <cblas.h>
int main(int argc, const char *argv[])
{
double a[4] = {1,2,3,4};
double b[4] = {5,6,7,8};
return cblas_ddot(4, a, 1, b, 1) > 10;
}""")
src = os.path.join(tmpdir, 'source.c')
try:
with open(src, 'wt') as f:
f.write(s)
try:
# check we can compile (find headers)
obj = c.compile([src], output_dir=tmpdir,
include_dirs=self.get_include_dirs())
except (distutils.ccompiler.CompileError, distutils.ccompiler.LinkError):
return None
# check we can link (find library)
# some systems have separate cblas and blas libs.
for libs in [info['libraries'], ['cblas'] + info['libraries'],
['blas'] + info['libraries'], ['cblas'], ['blas']]:
try:
c.link_executable(obj, os.path.join(tmpdir, "a.out"),
libraries=libs,
library_dirs=info['library_dirs'],
extra_postargs=info.get('extra_link_args', []))
return libs
except distutils.ccompiler.LinkError:
pass
finally:
shutil.rmtree(tmpdir)
return None
class openblas_info(blas_info):
section = 'openblas'
dir_env_var = 'OPENBLAS'
_lib_names = ['openblas']
_require_symbols = []
notfounderror = BlasNotFoundError
@property
def symbol_prefix(self):
try:
return self.cp.get(self.section, 'symbol_prefix')
except NoOptionError:
return ''
@property
def symbol_suffix(self):
try:
return self.cp.get(self.section, 'symbol_suffix')
except NoOptionError:
return ''
def _calc_info(self):
c = customized_ccompiler()
lib_dirs = self.get_lib_dirs()
# Prefer to use libraries over openblas_libs
opt = self.get_option_single('openblas_libs', 'libraries')
openblas_libs = self.get_libs(opt, self._lib_names)
info = self.check_libs(lib_dirs, openblas_libs, [])
if c.compiler_type == "msvc" and info is None:
from numpy.distutils.fcompiler import new_fcompiler
f = new_fcompiler(c_compiler=c)
if f and f.compiler_type == 'gnu95':
# Try gfortran-compatible library files
info = self.check_msvc_gfortran_libs(lib_dirs, openblas_libs)
# Skip lapack check, we'd need build_ext to do it
skip_symbol_check = True
elif info:
skip_symbol_check = False
info['language'] = 'c'
if info is None:
return None
# Add extra info for OpenBLAS
extra_info = self.calc_extra_info()
dict_append(info, **extra_info)
if not (skip_symbol_check or self.check_symbols(info)):
return None
info['define_macros'] = [('HAVE_CBLAS', None)]
if self.symbol_prefix:
info['define_macros'] += [('BLAS_SYMBOL_PREFIX', self.symbol_prefix)]
if self.symbol_suffix:
info['define_macros'] += [('BLAS_SYMBOL_SUFFIX', self.symbol_suffix)]
return info
def calc_info(self):
info = self._calc_info()
if info is not None:
self.set_info(**info)
def check_msvc_gfortran_libs(self, library_dirs, libraries):
# First, find the full path to each library directory
library_paths = []
for library in libraries:
for library_dir in library_dirs:
# MinGW static ext will be .a
fullpath = os.path.join(library_dir, library + '.a')
if os.path.isfile(fullpath):
library_paths.append(fullpath)
break
else:
return None
# Generate numpy.distutils virtual static library file
basename = self.__class__.__name__
tmpdir = os.path.join(os.getcwd(), 'build', basename)
if not os.path.isdir(tmpdir):
os.makedirs(tmpdir)
info = {'library_dirs': [tmpdir],
'libraries': [basename],
'language': 'f77'}
fake_lib_file = os.path.join(tmpdir, basename + '.fobjects')
fake_clib_file = os.path.join(tmpdir, basename + '.cobjects')
with open(fake_lib_file, 'w') as f:
f.write("\n".join(library_paths))
with open(fake_clib_file, 'w') as f:
pass
return info
def check_symbols(self, info):
res = False
c = customized_ccompiler()
tmpdir = tempfile.mkdtemp()
prototypes = "\n".join("void %s%s%s();" % (self.symbol_prefix,
symbol_name,
self.symbol_suffix)
for symbol_name in self._require_symbols)
calls = "\n".join("%s%s%s();" % (self.symbol_prefix,
symbol_name,
self.symbol_suffix)
for symbol_name in self._require_symbols)
s = textwrap.dedent("""\
%(prototypes)s
int main(int argc, const char *argv[])
{
%(calls)s
return 0;
}""") % dict(prototypes=prototypes, calls=calls)
src = os.path.join(tmpdir, 'source.c')
out = os.path.join(tmpdir, 'a.out')
# Add the additional "extra" arguments
try:
extra_args = info['extra_link_args']
except Exception:
extra_args = []
try:
with open(src, 'wt') as f:
f.write(s)
obj = c.compile([src], output_dir=tmpdir)
try:
c.link_executable(obj, out, libraries=info['libraries'],
library_dirs=info['library_dirs'],
extra_postargs=extra_args)
res = True
except distutils.ccompiler.LinkError:
res = False
finally:
shutil.rmtree(tmpdir)
return res
class openblas_lapack_info(openblas_info):
section = 'openblas'
dir_env_var = 'OPENBLAS'
_lib_names = ['openblas']
_require_symbols = ['zungqr_']
notfounderror = BlasNotFoundError
class openblas_clapack_info(openblas_lapack_info):
_lib_names = ['openblas', 'lapack']
class openblas_ilp64_info(openblas_info):
section = 'openblas_ilp64'
dir_env_var = 'OPENBLAS_ILP64'
_lib_names = ['openblas64']
_require_symbols = ['dgemm_', 'cblas_dgemm']
notfounderror = BlasILP64NotFoundError
def _calc_info(self):
info = super()._calc_info()
if info is not None:
info['define_macros'] += [('HAVE_BLAS_ILP64', None)]
return info
class openblas_ilp64_lapack_info(openblas_ilp64_info):
_require_symbols = ['dgemm_', 'cblas_dgemm', 'zungqr_', 'LAPACKE_zungqr']
def _calc_info(self):
info = super()._calc_info()
if info:
info['define_macros'] += [('HAVE_LAPACKE', None)]
return info
class openblas64__info(openblas_ilp64_info):
# ILP64 Openblas, with default symbol suffix
section = 'openblas64_'
dir_env_var = 'OPENBLAS64_'
_lib_names = ['openblas64_']
symbol_suffix = '64_'
symbol_prefix = ''
class openblas64__lapack_info(openblas_ilp64_lapack_info, openblas64__info):
pass
class blis_info(blas_info):
section = 'blis'
dir_env_var = 'BLIS'
_lib_names = ['blis']
notfounderror = BlasNotFoundError
def calc_info(self):
lib_dirs = self.get_lib_dirs()
opt = self.get_option_single('blis_libs', 'libraries')
blis_libs = self.get_libs(opt, self._lib_names)
info = self.check_libs2(lib_dirs, blis_libs, [])
if info is None:
return
# Add include dirs
incl_dirs = self.get_include_dirs()
dict_append(info,
language='c',
define_macros=[('HAVE_CBLAS', None)],
include_dirs=incl_dirs)
self.set_info(**info)
class flame_info(system_info):
""" Usage of libflame for LAPACK operations
This requires libflame to be compiled with lapack wrappers:
./configure --enable-lapack2flame ...
Be aware that libflame 5.1.0 has some missing names in the shared library, so
if you have problems, try the static flame library.
"""
section = 'flame'
_lib_names = ['flame']
notfounderror = FlameNotFoundError
def check_embedded_lapack(self, info):
""" libflame does not necessarily have a wrapper for fortran LAPACK, we need to check """
c = customized_ccompiler()
tmpdir = tempfile.mkdtemp()
s = textwrap.dedent("""\
void zungqr_();
int main(int argc, const char *argv[])
{
zungqr_();
return 0;
}""")
src = os.path.join(tmpdir, 'source.c')
out = os.path.join(tmpdir, 'a.out')
# Add the additional "extra" arguments
extra_args = info.get('extra_link_args', [])
try:
with open(src, 'wt') as f:
f.write(s)
obj = c.compile([src], output_dir=tmpdir)
try:
c.link_executable(obj, out, libraries=info['libraries'],
library_dirs=info['library_dirs'],
extra_postargs=extra_args)
return True
except distutils.ccompiler.LinkError:
return False
finally:
shutil.rmtree(tmpdir)
def calc_info(self):
lib_dirs = self.get_lib_dirs()
flame_libs = self.get_libs('libraries', self._lib_names)
info = self.check_libs2(lib_dirs, flame_libs, [])
if info is None:
return
# Add the extra flag args to info
extra_info = self.calc_extra_info()
dict_append(info, **extra_info)
if self.check_embedded_lapack(info):
# check if the user has supplied all information required
self.set_info(**info)
else:
# Try and get the BLAS lib to see if we can get it to work
blas_info = get_info('blas_opt')
if not blas_info:
# since we already failed once, this ain't going to work either
return
# Now we need to merge the two dictionaries
for key in blas_info:
if isinstance(blas_info[key], list):
info[key] = info.get(key, []) + blas_info[key]
elif isinstance(blas_info[key], tuple):
info[key] = info.get(key, ()) + blas_info[key]
else:
info[key] = info.get(key, '') + blas_info[key]
# Now check again
if self.check_embedded_lapack(info):
self.set_info(**info)
class accelerate_info(system_info):
section = 'accelerate'
_lib_names = ['accelerate', 'veclib']
notfounderror = BlasNotFoundError
def calc_info(self):
# Make possible to enable/disable from config file/env var
libraries = os.environ.get('ACCELERATE')
if libraries:
libraries = [libraries]
else:
libraries = self.get_libs('libraries', self._lib_names)
libraries = [lib.strip().lower() for lib in libraries]
if (sys.platform == 'darwin' and
not os.getenv('_PYTHON_HOST_PLATFORM', None)):
# Use the system BLAS from Accelerate or vecLib under OSX
args = []
link_args = []
if get_platform()[-4:] == 'i386' or 'intel' in get_platform() or \
'x86_64' in get_platform() or \
'i386' in platform.platform():
intel = 1
else:
intel = 0
if (os.path.exists('/System/Library/Frameworks'
'/Accelerate.framework/') and
'accelerate' in libraries):
if intel:
args.extend(['-msse3'])
args.extend([
'-I/System/Library/Frameworks/vecLib.framework/Headers'])
link_args.extend(['-Wl,-framework', '-Wl,Accelerate'])
elif (os.path.exists('/System/Library/Frameworks'
'/vecLib.framework/') and
'veclib' in libraries):
if intel:
args.extend(['-msse3'])
args.extend([
'-I/System/Library/Frameworks/vecLib.framework/Headers'])
link_args.extend(['-Wl,-framework', '-Wl,vecLib'])
if args:
self.set_info(extra_compile_args=args,
extra_link_args=link_args,
define_macros=[('NO_ATLAS_INFO', 3),
('HAVE_CBLAS', None)])
return
class blas_src_info(system_info):
# BLAS_SRC is deprecated, please do not use this!
# Build or install a BLAS library via your package manager or from
# source separately.
section = 'blas_src'
dir_env_var = 'BLAS_SRC'
notfounderror = BlasSrcNotFoundError
def get_paths(self, section, key):
pre_dirs = system_info.get_paths(self, section, key)
dirs = []
for d in pre_dirs:
dirs.extend([d] + self.combine_paths(d, ['blas']))
return [d for d in dirs if os.path.isdir(d)]
def calc_info(self):
src_dirs = self.get_src_dirs()
src_dir = ''
for d in src_dirs:
if os.path.isfile(os.path.join(d, 'daxpy.f')):
src_dir = d
break
if not src_dir:
#XXX: Get sources from netlib. May be ask first.
return
blas1 = '''
caxpy csscal dnrm2 dzasum saxpy srotg zdotc ccopy cswap drot
dznrm2 scasum srotm zdotu cdotc dasum drotg icamax scnrm2
srotmg zdrot cdotu daxpy drotm idamax scopy sscal zdscal crotg
dcabs1 drotmg isamax sdot sswap zrotg cscal dcopy dscal izamax
snrm2 zaxpy zscal csrot ddot dswap sasum srot zcopy zswap
scabs1
'''
blas2 = '''
cgbmv chpmv ctrsv dsymv dtrsv sspr2 strmv zhemv ztpmv cgemv
chpr dgbmv dsyr lsame ssymv strsv zher ztpsv cgerc chpr2 dgemv
dsyr2 sgbmv ssyr xerbla zher2 ztrmv cgeru ctbmv dger dtbmv
sgemv ssyr2 zgbmv zhpmv ztrsv chbmv ctbsv dsbmv dtbsv sger
stbmv zgemv zhpr chemv ctpmv dspmv dtpmv ssbmv stbsv zgerc
zhpr2 cher ctpsv dspr dtpsv sspmv stpmv zgeru ztbmv cher2
ctrmv dspr2 dtrmv sspr stpsv zhbmv ztbsv
'''
blas3 = '''
cgemm csymm ctrsm dsyrk sgemm strmm zhemm zsyr2k chemm csyr2k
dgemm dtrmm ssymm strsm zher2k zsyrk cher2k csyrk dsymm dtrsm
ssyr2k zherk ztrmm cherk ctrmm dsyr2k ssyrk zgemm zsymm ztrsm
'''
sources = [os.path.join(src_dir, f + '.f') \
for f in (blas1 + blas2 + blas3).split()]
#XXX: should we check here actual existence of source files?
sources = [f for f in sources if os.path.isfile(f)]
info = {'sources': sources, 'language': 'f77'}
self.set_info(**info)
class x11_info(system_info):
section = 'x11'
notfounderror = X11NotFoundError
_lib_names = ['X11']
def __init__(self):
system_info.__init__(self,
default_lib_dirs=default_x11_lib_dirs,
default_include_dirs=default_x11_include_dirs)
def calc_info(self):
if sys.platform in ['win32']:
return
lib_dirs = self.get_lib_dirs()
include_dirs = self.get_include_dirs()
opt = self.get_option_single('x11_libs', 'libraries')
x11_libs = self.get_libs(opt, self._lib_names)
info = self.check_libs(lib_dirs, x11_libs, [])
if info is None:
return
inc_dir = None
for d in include_dirs:
if self.combine_paths(d, 'X11/X.h'):
inc_dir = d
break
if inc_dir is not None:
dict_append(info, include_dirs=[inc_dir])
self.set_info(**info)
class _numpy_info(system_info):
section = 'Numeric'
modulename = 'Numeric'
notfounderror = NumericNotFoundError
def __init__(self):
include_dirs = []
try:
module = __import__(self.modulename)
prefix = []
for name in module.__file__.split(os.sep):
if name == 'lib':
break
prefix.append(name)
# Ask numpy for its own include path before attempting
# anything else
try:
include_dirs.append(getattr(module, 'get_include')())
except AttributeError:
pass
include_dirs.append(sysconfig.get_path('include'))
except ImportError:
pass
py_incl_dir = sysconfig.get_path('include')
include_dirs.append(py_incl_dir)
py_pincl_dir = sysconfig.get_path('platinclude')
if py_pincl_dir not in include_dirs:
include_dirs.append(py_pincl_dir)
for d in default_include_dirs:
d = os.path.join(d, os.path.basename(py_incl_dir))
if d not in include_dirs:
include_dirs.append(d)
system_info.__init__(self,
default_lib_dirs=[],
default_include_dirs=include_dirs)
def calc_info(self):
try:
module = __import__(self.modulename)
except ImportError:
return
info = {}
macros = []
for v in ['__version__', 'version']:
vrs = getattr(module, v, None)
if vrs is None:
continue
macros = [(self.modulename.upper() + '_VERSION',
_c_string_literal(vrs)),
(self.modulename.upper(), None)]
break
dict_append(info, define_macros=macros)
include_dirs = self.get_include_dirs()
inc_dir = None
for d in include_dirs:
if self.combine_paths(d,
os.path.join(self.modulename,
'arrayobject.h')):
inc_dir = d
break
if inc_dir is not None:
dict_append(info, include_dirs=[inc_dir])
if info:
self.set_info(**info)
return
class numarray_info(_numpy_info):
section = 'numarray'
modulename = 'numarray'
class Numeric_info(_numpy_info):
section = 'Numeric'
modulename = 'Numeric'
class numpy_info(_numpy_info):
section = 'numpy'
modulename = 'numpy'
class numerix_info(system_info):
section = 'numerix'
def calc_info(self):
which = None, None
if os.getenv("NUMERIX"):
which = os.getenv("NUMERIX"), "environment var"
# If all the above fail, default to numpy.
if which[0] is None:
which = "numpy", "defaulted"
try:
import numpy # noqa: F401
which = "numpy", "defaulted"
except ImportError as e:
msg1 = str(e)
try:
import Numeric # noqa: F401
which = "numeric", "defaulted"
except ImportError as e:
msg2 = str(e)
try:
import numarray # noqa: F401
which = "numarray", "defaulted"
except ImportError as e:
msg3 = str(e)
log.info(msg1)
log.info(msg2)
log.info(msg3)
which = which[0].strip().lower(), which[1]
if which[0] not in ["numeric", "numarray", "numpy"]:
raise ValueError("numerix selector must be either 'Numeric' "
"or 'numarray' or 'numpy' but the value obtained"
" from the %s was '%s'." % (which[1], which[0]))
os.environ['NUMERIX'] = which[0]
self.set_info(**get_info(which[0]))
class f2py_info(system_info):
def calc_info(self):
try:
import numpy.f2py as f2py
except ImportError:
return
f2py_dir = os.path.join(os.path.dirname(f2py.__file__), 'src')
self.set_info(sources=[os.path.join(f2py_dir, 'fortranobject.c')],
include_dirs=[f2py_dir])
return
class boost_python_info(system_info):
section = 'boost_python'
dir_env_var = 'BOOST'
def get_paths(self, section, key):
pre_dirs = system_info.get_paths(self, section, key)
dirs = []
for d in pre_dirs:
dirs.extend([d] + self.combine_paths(d, ['boost*']))
return [d for d in dirs if os.path.isdir(d)]
def calc_info(self):
src_dirs = self.get_src_dirs()
src_dir = ''
for d in src_dirs:
if os.path.isfile(os.path.join(d, 'libs', 'python', 'src',
'module.cpp')):
src_dir = d
break
if not src_dir:
return
py_incl_dirs = [sysconfig.get_path('include')]
py_pincl_dir = sysconfig.get_path('platinclude')
if py_pincl_dir not in py_incl_dirs:
py_incl_dirs.append(py_pincl_dir)
srcs_dir = os.path.join(src_dir, 'libs', 'python', 'src')
bpl_srcs = glob(os.path.join(srcs_dir, '*.cpp'))
bpl_srcs += glob(os.path.join(srcs_dir, '*', '*.cpp'))
info = {'libraries': [('boost_python_src',
{'include_dirs': [src_dir] + py_incl_dirs,
'sources':bpl_srcs}
)],
'include_dirs': [src_dir],
}
if info:
self.set_info(**info)
return
class agg2_info(system_info):
section = 'agg2'
dir_env_var = 'AGG2'
def get_paths(self, section, key):
pre_dirs = system_info.get_paths(self, section, key)
dirs = []
for d in pre_dirs:
dirs.extend([d] + self.combine_paths(d, ['agg2*']))
return [d for d in dirs if os.path.isdir(d)]
def calc_info(self):
src_dirs = self.get_src_dirs()
src_dir = ''
for d in src_dirs:
if os.path.isfile(os.path.join(d, 'src', 'agg_affine_matrix.cpp')):
src_dir = d
break
if not src_dir:
return
if sys.platform == 'win32':
agg2_srcs = glob(os.path.join(src_dir, 'src', 'platform',
'win32', 'agg_win32_bmp.cpp'))
else:
agg2_srcs = glob(os.path.join(src_dir, 'src', '*.cpp'))
agg2_srcs += [os.path.join(src_dir, 'src', 'platform',
'X11',
'agg_platform_support.cpp')]
info = {'libraries':
[('agg2_src',
{'sources': agg2_srcs,
'include_dirs': [os.path.join(src_dir, 'include')],
}
)],
'include_dirs': [os.path.join(src_dir, 'include')],
}
if info:
self.set_info(**info)
return
class _pkg_config_info(system_info):
section = None
config_env_var = 'PKG_CONFIG'
default_config_exe = 'pkg-config'
append_config_exe = ''
version_macro_name = None
release_macro_name = None
version_flag = '--modversion'
cflags_flag = '--cflags'
def get_config_exe(self):
if self.config_env_var in os.environ:
return os.environ[self.config_env_var]
return self.default_config_exe
def get_config_output(self, config_exe, option):
cmd = config_exe + ' ' + self.append_config_exe + ' ' + option
try:
o = subprocess.check_output(cmd)
except (OSError, subprocess.CalledProcessError):
pass
else:
o = filepath_from_subprocess_output(o)
return o
def calc_info(self):
config_exe = find_executable(self.get_config_exe())
if not config_exe:
log.warn('File not found: %s. Cannot determine %s info.' \
% (config_exe, self.section))
return
info = {}
macros = []
libraries = []
library_dirs = []
include_dirs = []
extra_link_args = []
extra_compile_args = []
version = self.get_config_output(config_exe, self.version_flag)
if version:
macros.append((self.__class__.__name__.split('.')[-1].upper(),
_c_string_literal(version)))
if self.version_macro_name:
macros.append((self.version_macro_name + '_%s'
% (version.replace('.', '_')), None))
if self.release_macro_name:
release = self.get_config_output(config_exe, '--release')
if release:
macros.append((self.release_macro_name + '_%s'
% (release.replace('.', '_')), None))
opts = self.get_config_output(config_exe, '--libs')
if opts:
for opt in opts.split():
if opt[:2] == '-l':
libraries.append(opt[2:])
elif opt[:2] == '-L':
library_dirs.append(opt[2:])
else:
extra_link_args.append(opt)
opts = self.get_config_output(config_exe, self.cflags_flag)
if opts:
for opt in opts.split():
if opt[:2] == '-I':
include_dirs.append(opt[2:])
elif opt[:2] == '-D':
if '=' in opt:
n, v = opt[2:].split('=')
macros.append((n, v))
else:
macros.append((opt[2:], None))
else:
extra_compile_args.append(opt)
if macros:
dict_append(info, define_macros=macros)
if libraries:
dict_append(info, libraries=libraries)
if library_dirs:
dict_append(info, library_dirs=library_dirs)
if include_dirs:
dict_append(info, include_dirs=include_dirs)
if extra_link_args:
dict_append(info, extra_link_args=extra_link_args)
if extra_compile_args:
dict_append(info, extra_compile_args=extra_compile_args)
if info:
self.set_info(**info)
return
class wx_info(_pkg_config_info):
section = 'wx'
config_env_var = 'WX_CONFIG'
default_config_exe = 'wx-config'
append_config_exe = ''
version_macro_name = 'WX_VERSION'
release_macro_name = 'WX_RELEASE'
version_flag = '--version'
cflags_flag = '--cxxflags'
class gdk_pixbuf_xlib_2_info(_pkg_config_info):
section = 'gdk_pixbuf_xlib_2'
append_config_exe = 'gdk-pixbuf-xlib-2.0'
version_macro_name = 'GDK_PIXBUF_XLIB_VERSION'
class gdk_pixbuf_2_info(_pkg_config_info):
section = 'gdk_pixbuf_2'
append_config_exe = 'gdk-pixbuf-2.0'
version_macro_name = 'GDK_PIXBUF_VERSION'
class gdk_x11_2_info(_pkg_config_info):
section = 'gdk_x11_2'
append_config_exe = 'gdk-x11-2.0'
version_macro_name = 'GDK_X11_VERSION'
class gdk_2_info(_pkg_config_info):
section = 'gdk_2'
append_config_exe = 'gdk-2.0'
version_macro_name = 'GDK_VERSION'
class gdk_info(_pkg_config_info):
section = 'gdk'
append_config_exe = 'gdk'
version_macro_name = 'GDK_VERSION'
class gtkp_x11_2_info(_pkg_config_info):
section = 'gtkp_x11_2'
append_config_exe = 'gtk+-x11-2.0'
version_macro_name = 'GTK_X11_VERSION'
class gtkp_2_info(_pkg_config_info):
section = 'gtkp_2'
append_config_exe = 'gtk+-2.0'
version_macro_name = 'GTK_VERSION'
class xft_info(_pkg_config_info):
section = 'xft'
append_config_exe = 'xft'
version_macro_name = 'XFT_VERSION'
class freetype2_info(_pkg_config_info):
section = 'freetype2'
append_config_exe = 'freetype2'
version_macro_name = 'FREETYPE2_VERSION'
class amd_info(system_info):
section = 'amd'
dir_env_var = 'AMD'
_lib_names = ['amd']
def calc_info(self):
lib_dirs = self.get_lib_dirs()
opt = self.get_option_single('amd_libs', 'libraries')
amd_libs = self.get_libs(opt, self._lib_names)
info = self.check_libs(lib_dirs, amd_libs, [])
if info is None:
return
include_dirs = self.get_include_dirs()
inc_dir = None
for d in include_dirs:
p = self.combine_paths(d, 'amd.h')
if p:
inc_dir = os.path.dirname(p[0])
break
if inc_dir is not None:
dict_append(info, include_dirs=[inc_dir],
define_macros=[('SCIPY_AMD_H', None)],
swig_opts=['-I' + inc_dir])
self.set_info(**info)
return
class umfpack_info(system_info):
section = 'umfpack'
dir_env_var = 'UMFPACK'
notfounderror = UmfpackNotFoundError
_lib_names = ['umfpack']
def calc_info(self):
lib_dirs = self.get_lib_dirs()
opt = self.get_option_single('umfpack_libs', 'libraries')
umfpack_libs = self.get_libs(opt, self._lib_names)
info = self.check_libs(lib_dirs, umfpack_libs, [])
if info is None:
return
include_dirs = self.get_include_dirs()
inc_dir = None
for d in include_dirs:
p = self.combine_paths(d, ['', 'umfpack'], 'umfpack.h')
if p:
inc_dir = os.path.dirname(p[0])
break
if inc_dir is not None:
dict_append(info, include_dirs=[inc_dir],
define_macros=[('SCIPY_UMFPACK_H', None)],
swig_opts=['-I' + inc_dir])
dict_append(info, **get_info('amd'))
self.set_info(**info)
return
def combine_paths(*args, **kws):
""" Return a list of existing paths composed by all combinations of
items from arguments.
"""
r = []
for a in args:
if not a:
continue
if is_string(a):
a = [a]
r.append(a)
args = r
if not args:
return []
if len(args) == 1:
result = reduce(lambda a, b: a + b, map(glob, args[0]), [])
elif len(args) == 2:
result = []
for a0 in args[0]:
for a1 in args[1]:
result.extend(glob(os.path.join(a0, a1)))
else:
result = combine_paths(*(combine_paths(args[0], args[1]) + args[2:]))
log.debug('(paths: %s)', ','.join(result))
return result
language_map = {'c': 0, 'c++': 1, 'f77': 2, 'f90': 3}
inv_language_map = {0: 'c', 1: 'c++', 2: 'f77', 3: 'f90'}
def dict_append(d, **kws):
languages = []
for k, v in kws.items():
if k == 'language':
languages.append(v)
continue
if k in d:
if k in ['library_dirs', 'include_dirs',
'extra_compile_args', 'extra_link_args',
'runtime_library_dirs', 'define_macros']:
[d[k].append(vv) for vv in v if vv not in d[k]]
else:
d[k].extend(v)
else:
d[k] = v
if languages:
l = inv_language_map[max([language_map.get(l, 0) for l in languages])]
d['language'] = l
return
def parseCmdLine(argv=(None,)):
import optparse
parser = optparse.OptionParser("usage: %prog [-v] [info objs]")
parser.add_option('-v', '--verbose', action='store_true', dest='verbose',
default=False,
help='be verbose and print more messages')
opts, args = parser.parse_args(args=argv[1:])
return opts, args
def show_all(argv=None):
import inspect
if argv is None:
argv = sys.argv
opts, args = parseCmdLine(argv)
if opts.verbose:
log.set_threshold(log.DEBUG)
else:
log.set_threshold(log.INFO)
show_only = []
for n in args:
if n[-5:] != '_info':
n = n + '_info'
show_only.append(n)
show_all = not show_only
_gdict_ = globals().copy()
for name, c in _gdict_.items():
if not inspect.isclass(c):
continue
if not issubclass(c, system_info) or c is system_info:
continue
if not show_all:
if name not in show_only:
continue
del show_only[show_only.index(name)]
conf = c()
conf.verbosity = 2
# we don't need the result, but we want
# the side effect of printing diagnostics
conf.get_info()
if show_only:
log.info('Info classes not defined: %s', ','.join(show_only))
if __name__ == "__main__":
show_all()
| 111,028 | Python | 33.991806 | 120 | 0.549348 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/msvc9compiler.py | import os
from distutils.msvc9compiler import MSVCCompiler as _MSVCCompiler
from .system_info import platform_bits
def _merge(old, new):
"""Concatenate two environment paths avoiding repeats.
Here `old` is the environment string before the base class initialize
function is called and `new` is the string after the call. The new string
will be a fixed string if it is not obtained from the current environment,
or the same as the old string if obtained from the same environment. The aim
here is not to append the new string if it is already contained in the old
string so as to limit the growth of the environment string.
Parameters
----------
old : string
Previous environment string.
new : string
New environment string.
Returns
-------
ret : string
Updated environment string.
"""
if not old:
return new
if new in old:
return old
# Neither new nor old is empty. Give old priority.
return ';'.join([old, new])
class MSVCCompiler(_MSVCCompiler):
def __init__(self, verbose=0, dry_run=0, force=0):
_MSVCCompiler.__init__(self, verbose, dry_run, force)
def initialize(self, plat_name=None):
# The 'lib' and 'include' variables may be overwritten
# by MSVCCompiler.initialize, so save them for later merge.
environ_lib = os.getenv('lib')
environ_include = os.getenv('include')
_MSVCCompiler.initialize(self, plat_name)
# Merge current and previous values of 'lib' and 'include'
os.environ['lib'] = _merge(environ_lib, os.environ['lib'])
os.environ['include'] = _merge(environ_include, os.environ['include'])
# msvc9 building for 32 bits requires SSE2 to work around a
# compiler bug.
if platform_bits == 32:
self.compile_options += ['/arch:SSE2']
self.compile_options_debug += ['/arch:SSE2']
def manifest_setup_ldargs(self, output_filename, build_temp, ld_args):
ld_args.append('/MANIFEST')
_MSVCCompiler.manifest_setup_ldargs(self, output_filename,
build_temp, ld_args)
| 2,192 | Python | 33.265624 | 80 | 0.641423 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/extension.py | """distutils.extension
Provides the Extension class, used to describe C/C++ extension
modules in setup scripts.
Overridden to support f2py.
"""
import re
from distutils.extension import Extension as old_Extension
cxx_ext_re = re.compile(r'.*\.(cpp|cxx|cc)\Z', re.I).match
fortran_pyf_ext_re = re.compile(r'.*\.(f90|f95|f77|for|ftn|f|pyf)\Z', re.I).match
class Extension(old_Extension):
"""
Parameters
----------
name : str
Extension name.
sources : list of str
List of source file locations relative to the top directory of
the package.
extra_compile_args : list of str
Extra command line arguments to pass to the compiler.
extra_f77_compile_args : list of str
Extra command line arguments to pass to the fortran77 compiler.
extra_f90_compile_args : list of str
Extra command line arguments to pass to the fortran90 compiler.
"""
def __init__(
self, name, sources,
include_dirs=None,
define_macros=None,
undef_macros=None,
library_dirs=None,
libraries=None,
runtime_library_dirs=None,
extra_objects=None,
extra_compile_args=None,
extra_link_args=None,
export_symbols=None,
swig_opts=None,
depends=None,
language=None,
f2py_options=None,
module_dirs=None,
extra_c_compile_args=None,
extra_cxx_compile_args=None,
extra_f77_compile_args=None,
extra_f90_compile_args=None,):
old_Extension.__init__(
self, name, [],
include_dirs=include_dirs,
define_macros=define_macros,
undef_macros=undef_macros,
library_dirs=library_dirs,
libraries=libraries,
runtime_library_dirs=runtime_library_dirs,
extra_objects=extra_objects,
extra_compile_args=extra_compile_args,
extra_link_args=extra_link_args,
export_symbols=export_symbols)
# Avoid assert statements checking that sources contains strings:
self.sources = sources
# Python 2.4 distutils new features
self.swig_opts = swig_opts or []
# swig_opts is assumed to be a list. Here we handle the case where it
# is specified as a string instead.
if isinstance(self.swig_opts, str):
import warnings
msg = "swig_opts is specified as a string instead of a list"
warnings.warn(msg, SyntaxWarning, stacklevel=2)
self.swig_opts = self.swig_opts.split()
# Python 2.3 distutils new features
self.depends = depends or []
self.language = language
# numpy_distutils features
self.f2py_options = f2py_options or []
self.module_dirs = module_dirs or []
self.extra_c_compile_args = extra_c_compile_args or []
self.extra_cxx_compile_args = extra_cxx_compile_args or []
self.extra_f77_compile_args = extra_f77_compile_args or []
self.extra_f90_compile_args = extra_f90_compile_args or []
return
def has_cxx_sources(self):
for source in self.sources:
if cxx_ext_re(str(source)):
return True
return False
def has_f2py_sources(self):
for source in self.sources:
if fortran_pyf_ext_re(source):
return True
return False
# class Extension
| 3,568 | Python | 32.046296 | 81 | 0.589406 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/cpuinfo.py | #!/usr/bin/env python3
"""
cpuinfo
Copyright 2002 Pearu Peterson all rights reserved,
Pearu Peterson <[email protected]>
Permission to use, modify, and distribute this software is given under the
terms of the NumPy (BSD style) license. See LICENSE.txt that came with
this distribution for specifics.
NO WARRANTY IS EXPRESSED OR IMPLIED. USE AT YOUR OWN RISK.
Pearu Peterson
"""
__all__ = ['cpu']
import os
import platform
import re
import sys
import types
import warnings
from subprocess import getstatusoutput
def getoutput(cmd, successful_status=(0,), stacklevel=1):
try:
status, output = getstatusoutput(cmd)
except OSError as e:
warnings.warn(str(e), UserWarning, stacklevel=stacklevel)
return False, ""
if os.WIFEXITED(status) and os.WEXITSTATUS(status) in successful_status:
return True, output
return False, output
def command_info(successful_status=(0,), stacklevel=1, **kw):
info = {}
for key in kw:
ok, output = getoutput(kw[key], successful_status=successful_status,
stacklevel=stacklevel+1)
if ok:
info[key] = output.strip()
return info
def command_by_line(cmd, successful_status=(0,), stacklevel=1):
ok, output = getoutput(cmd, successful_status=successful_status,
stacklevel=stacklevel+1)
if not ok:
return
for line in output.splitlines():
yield line.strip()
def key_value_from_command(cmd, sep, successful_status=(0,),
stacklevel=1):
d = {}
for line in command_by_line(cmd, successful_status=successful_status,
stacklevel=stacklevel+1):
l = [s.strip() for s in line.split(sep, 1)]
if len(l) == 2:
d[l[0]] = l[1]
return d
class CPUInfoBase:
"""Holds CPU information and provides methods for requiring
the availability of various CPU features.
"""
def _try_call(self, func):
try:
return func()
except Exception:
pass
def __getattr__(self, name):
if not name.startswith('_'):
if hasattr(self, '_'+name):
attr = getattr(self, '_'+name)
if isinstance(attr, types.MethodType):
return lambda func=self._try_call,attr=attr : func(attr)
else:
return lambda : None
raise AttributeError(name)
def _getNCPUs(self):
return 1
def __get_nbits(self):
abits = platform.architecture()[0]
nbits = re.compile(r'(\d+)bit').search(abits).group(1)
return nbits
def _is_32bit(self):
return self.__get_nbits() == '32'
def _is_64bit(self):
return self.__get_nbits() == '64'
class LinuxCPUInfo(CPUInfoBase):
info = None
def __init__(self):
if self.info is not None:
return
info = [ {} ]
ok, output = getoutput('uname -m')
if ok:
info[0]['uname_m'] = output.strip()
try:
fo = open('/proc/cpuinfo')
except OSError as e:
warnings.warn(str(e), UserWarning, stacklevel=2)
else:
for line in fo:
name_value = [s.strip() for s in line.split(':', 1)]
if len(name_value) != 2:
continue
name, value = name_value
if not info or name in info[-1]: # next processor
info.append({})
info[-1][name] = value
fo.close()
self.__class__.info = info
def _not_impl(self): pass
# Athlon
def _is_AMD(self):
return self.info[0]['vendor_id']=='AuthenticAMD'
def _is_AthlonK6_2(self):
return self._is_AMD() and self.info[0]['model'] == '2'
def _is_AthlonK6_3(self):
return self._is_AMD() and self.info[0]['model'] == '3'
def _is_AthlonK6(self):
return re.match(r'.*?AMD-K6', self.info[0]['model name']) is not None
def _is_AthlonK7(self):
return re.match(r'.*?AMD-K7', self.info[0]['model name']) is not None
def _is_AthlonMP(self):
return re.match(r'.*?Athlon\(tm\) MP\b',
self.info[0]['model name']) is not None
def _is_AMD64(self):
return self.is_AMD() and self.info[0]['family'] == '15'
def _is_Athlon64(self):
return re.match(r'.*?Athlon\(tm\) 64\b',
self.info[0]['model name']) is not None
def _is_AthlonHX(self):
return re.match(r'.*?Athlon HX\b',
self.info[0]['model name']) is not None
def _is_Opteron(self):
return re.match(r'.*?Opteron\b',
self.info[0]['model name']) is not None
def _is_Hammer(self):
return re.match(r'.*?Hammer\b',
self.info[0]['model name']) is not None
# Alpha
def _is_Alpha(self):
return self.info[0]['cpu']=='Alpha'
def _is_EV4(self):
return self.is_Alpha() and self.info[0]['cpu model'] == 'EV4'
def _is_EV5(self):
return self.is_Alpha() and self.info[0]['cpu model'] == 'EV5'
def _is_EV56(self):
return self.is_Alpha() and self.info[0]['cpu model'] == 'EV56'
def _is_PCA56(self):
return self.is_Alpha() and self.info[0]['cpu model'] == 'PCA56'
# Intel
#XXX
_is_i386 = _not_impl
def _is_Intel(self):
return self.info[0]['vendor_id']=='GenuineIntel'
def _is_i486(self):
return self.info[0]['cpu']=='i486'
def _is_i586(self):
return self.is_Intel() and self.info[0]['cpu family'] == '5'
def _is_i686(self):
return self.is_Intel() and self.info[0]['cpu family'] == '6'
def _is_Celeron(self):
return re.match(r'.*?Celeron',
self.info[0]['model name']) is not None
def _is_Pentium(self):
return re.match(r'.*?Pentium',
self.info[0]['model name']) is not None
def _is_PentiumII(self):
return re.match(r'.*?Pentium.*?II\b',
self.info[0]['model name']) is not None
def _is_PentiumPro(self):
return re.match(r'.*?PentiumPro\b',
self.info[0]['model name']) is not None
def _is_PentiumMMX(self):
return re.match(r'.*?Pentium.*?MMX\b',
self.info[0]['model name']) is not None
def _is_PentiumIII(self):
return re.match(r'.*?Pentium.*?III\b',
self.info[0]['model name']) is not None
def _is_PentiumIV(self):
return re.match(r'.*?Pentium.*?(IV|4)\b',
self.info[0]['model name']) is not None
def _is_PentiumM(self):
return re.match(r'.*?Pentium.*?M\b',
self.info[0]['model name']) is not None
def _is_Prescott(self):
return self.is_PentiumIV() and self.has_sse3()
def _is_Nocona(self):
return (self.is_Intel()
and (self.info[0]['cpu family'] == '6'
or self.info[0]['cpu family'] == '15')
and (self.has_sse3() and not self.has_ssse3())
and re.match(r'.*?\blm\b', self.info[0]['flags']) is not None)
def _is_Core2(self):
return (self.is_64bit() and self.is_Intel() and
re.match(r'.*?Core\(TM\)2\b',
self.info[0]['model name']) is not None)
def _is_Itanium(self):
return re.match(r'.*?Itanium\b',
self.info[0]['family']) is not None
def _is_XEON(self):
return re.match(r'.*?XEON\b',
self.info[0]['model name'], re.IGNORECASE) is not None
_is_Xeon = _is_XEON
# Varia
def _is_singleCPU(self):
return len(self.info) == 1
def _getNCPUs(self):
return len(self.info)
def _has_fdiv_bug(self):
return self.info[0]['fdiv_bug']=='yes'
def _has_f00f_bug(self):
return self.info[0]['f00f_bug']=='yes'
def _has_mmx(self):
return re.match(r'.*?\bmmx\b', self.info[0]['flags']) is not None
def _has_sse(self):
return re.match(r'.*?\bsse\b', self.info[0]['flags']) is not None
def _has_sse2(self):
return re.match(r'.*?\bsse2\b', self.info[0]['flags']) is not None
def _has_sse3(self):
return re.match(r'.*?\bpni\b', self.info[0]['flags']) is not None
def _has_ssse3(self):
return re.match(r'.*?\bssse3\b', self.info[0]['flags']) is not None
def _has_3dnow(self):
return re.match(r'.*?\b3dnow\b', self.info[0]['flags']) is not None
def _has_3dnowext(self):
return re.match(r'.*?\b3dnowext\b', self.info[0]['flags']) is not None
class IRIXCPUInfo(CPUInfoBase):
info = None
def __init__(self):
if self.info is not None:
return
info = key_value_from_command('sysconf', sep=' ',
successful_status=(0, 1))
self.__class__.info = info
def _not_impl(self): pass
def _is_singleCPU(self):
return self.info.get('NUM_PROCESSORS') == '1'
def _getNCPUs(self):
return int(self.info.get('NUM_PROCESSORS', 1))
def __cputype(self, n):
return self.info.get('PROCESSORS').split()[0].lower() == 'r%s' % (n)
def _is_r2000(self): return self.__cputype(2000)
def _is_r3000(self): return self.__cputype(3000)
def _is_r3900(self): return self.__cputype(3900)
def _is_r4000(self): return self.__cputype(4000)
def _is_r4100(self): return self.__cputype(4100)
def _is_r4300(self): return self.__cputype(4300)
def _is_r4400(self): return self.__cputype(4400)
def _is_r4600(self): return self.__cputype(4600)
def _is_r4650(self): return self.__cputype(4650)
def _is_r5000(self): return self.__cputype(5000)
def _is_r6000(self): return self.__cputype(6000)
def _is_r8000(self): return self.__cputype(8000)
def _is_r10000(self): return self.__cputype(10000)
def _is_r12000(self): return self.__cputype(12000)
def _is_rorion(self): return self.__cputype('orion')
def get_ip(self):
try: return self.info.get('MACHINE')
except Exception: pass
def __machine(self, n):
return self.info.get('MACHINE').lower() == 'ip%s' % (n)
def _is_IP19(self): return self.__machine(19)
def _is_IP20(self): return self.__machine(20)
def _is_IP21(self): return self.__machine(21)
def _is_IP22(self): return self.__machine(22)
def _is_IP22_4k(self): return self.__machine(22) and self._is_r4000()
def _is_IP22_5k(self): return self.__machine(22) and self._is_r5000()
def _is_IP24(self): return self.__machine(24)
def _is_IP25(self): return self.__machine(25)
def _is_IP26(self): return self.__machine(26)
def _is_IP27(self): return self.__machine(27)
def _is_IP28(self): return self.__machine(28)
def _is_IP30(self): return self.__machine(30)
def _is_IP32(self): return self.__machine(32)
def _is_IP32_5k(self): return self.__machine(32) and self._is_r5000()
def _is_IP32_10k(self): return self.__machine(32) and self._is_r10000()
class DarwinCPUInfo(CPUInfoBase):
info = None
def __init__(self):
if self.info is not None:
return
info = command_info(arch='arch',
machine='machine')
info['sysctl_hw'] = key_value_from_command('sysctl hw', sep='=')
self.__class__.info = info
def _not_impl(self): pass
def _getNCPUs(self):
return int(self.info['sysctl_hw'].get('hw.ncpu', 1))
def _is_Power_Macintosh(self):
return self.info['sysctl_hw']['hw.machine']=='Power Macintosh'
def _is_i386(self):
return self.info['arch']=='i386'
def _is_ppc(self):
return self.info['arch']=='ppc'
def __machine(self, n):
return self.info['machine'] == 'ppc%s'%n
def _is_ppc601(self): return self.__machine(601)
def _is_ppc602(self): return self.__machine(602)
def _is_ppc603(self): return self.__machine(603)
def _is_ppc603e(self): return self.__machine('603e')
def _is_ppc604(self): return self.__machine(604)
def _is_ppc604e(self): return self.__machine('604e')
def _is_ppc620(self): return self.__machine(620)
def _is_ppc630(self): return self.__machine(630)
def _is_ppc740(self): return self.__machine(740)
def _is_ppc7400(self): return self.__machine(7400)
def _is_ppc7450(self): return self.__machine(7450)
def _is_ppc750(self): return self.__machine(750)
def _is_ppc403(self): return self.__machine(403)
def _is_ppc505(self): return self.__machine(505)
def _is_ppc801(self): return self.__machine(801)
def _is_ppc821(self): return self.__machine(821)
def _is_ppc823(self): return self.__machine(823)
def _is_ppc860(self): return self.__machine(860)
class SunOSCPUInfo(CPUInfoBase):
info = None
def __init__(self):
if self.info is not None:
return
info = command_info(arch='arch',
mach='mach',
uname_i='uname_i',
isainfo_b='isainfo -b',
isainfo_n='isainfo -n',
)
info['uname_X'] = key_value_from_command('uname -X', sep='=')
for line in command_by_line('psrinfo -v 0'):
m = re.match(r'\s*The (?P<p>[\w\d]+) processor operates at', line)
if m:
info['processor'] = m.group('p')
break
self.__class__.info = info
def _not_impl(self): pass
def _is_i386(self):
return self.info['isainfo_n']=='i386'
def _is_sparc(self):
return self.info['isainfo_n']=='sparc'
def _is_sparcv9(self):
return self.info['isainfo_n']=='sparcv9'
def _getNCPUs(self):
return int(self.info['uname_X'].get('NumCPU', 1))
def _is_sun4(self):
return self.info['arch']=='sun4'
def _is_SUNW(self):
return re.match(r'SUNW', self.info['uname_i']) is not None
def _is_sparcstation5(self):
return re.match(r'.*SPARCstation-5', self.info['uname_i']) is not None
def _is_ultra1(self):
return re.match(r'.*Ultra-1', self.info['uname_i']) is not None
def _is_ultra250(self):
return re.match(r'.*Ultra-250', self.info['uname_i']) is not None
def _is_ultra2(self):
return re.match(r'.*Ultra-2', self.info['uname_i']) is not None
def _is_ultra30(self):
return re.match(r'.*Ultra-30', self.info['uname_i']) is not None
def _is_ultra4(self):
return re.match(r'.*Ultra-4', self.info['uname_i']) is not None
def _is_ultra5_10(self):
return re.match(r'.*Ultra-5_10', self.info['uname_i']) is not None
def _is_ultra5(self):
return re.match(r'.*Ultra-5', self.info['uname_i']) is not None
def _is_ultra60(self):
return re.match(r'.*Ultra-60', self.info['uname_i']) is not None
def _is_ultra80(self):
return re.match(r'.*Ultra-80', self.info['uname_i']) is not None
def _is_ultraenterprice(self):
return re.match(r'.*Ultra-Enterprise', self.info['uname_i']) is not None
def _is_ultraenterprice10k(self):
return re.match(r'.*Ultra-Enterprise-10000', self.info['uname_i']) is not None
def _is_sunfire(self):
return re.match(r'.*Sun-Fire', self.info['uname_i']) is not None
def _is_ultra(self):
return re.match(r'.*Ultra', self.info['uname_i']) is not None
def _is_cpusparcv7(self):
return self.info['processor']=='sparcv7'
def _is_cpusparcv8(self):
return self.info['processor']=='sparcv8'
def _is_cpusparcv9(self):
return self.info['processor']=='sparcv9'
class Win32CPUInfo(CPUInfoBase):
info = None
pkey = r"HARDWARE\DESCRIPTION\System\CentralProcessor"
# XXX: what does the value of
# HKEY_LOCAL_MACHINE\HARDWARE\DESCRIPTION\System\CentralProcessor\0
# mean?
def __init__(self):
if self.info is not None:
return
info = []
try:
#XXX: Bad style to use so long `try:...except:...`. Fix it!
import winreg
prgx = re.compile(r"family\s+(?P<FML>\d+)\s+model\s+(?P<MDL>\d+)"
r"\s+stepping\s+(?P<STP>\d+)", re.IGNORECASE)
chnd=winreg.OpenKey(winreg.HKEY_LOCAL_MACHINE, self.pkey)
pnum=0
while True:
try:
proc=winreg.EnumKey(chnd, pnum)
except winreg.error:
break
else:
pnum+=1
info.append({"Processor":proc})
phnd=winreg.OpenKey(chnd, proc)
pidx=0
while True:
try:
name, value, vtpe=winreg.EnumValue(phnd, pidx)
except winreg.error:
break
else:
pidx=pidx+1
info[-1][name]=value
if name=="Identifier":
srch=prgx.search(value)
if srch:
info[-1]["Family"]=int(srch.group("FML"))
info[-1]["Model"]=int(srch.group("MDL"))
info[-1]["Stepping"]=int(srch.group("STP"))
except Exception as e:
print(e, '(ignoring)')
self.__class__.info = info
def _not_impl(self): pass
# Athlon
def _is_AMD(self):
return self.info[0]['VendorIdentifier']=='AuthenticAMD'
def _is_Am486(self):
return self.is_AMD() and self.info[0]['Family']==4
def _is_Am5x86(self):
return self.is_AMD() and self.info[0]['Family']==4
def _is_AMDK5(self):
return self.is_AMD() and self.info[0]['Family']==5 \
and self.info[0]['Model'] in [0, 1, 2, 3]
def _is_AMDK6(self):
return self.is_AMD() and self.info[0]['Family']==5 \
and self.info[0]['Model'] in [6, 7]
def _is_AMDK6_2(self):
return self.is_AMD() and self.info[0]['Family']==5 \
and self.info[0]['Model']==8
def _is_AMDK6_3(self):
return self.is_AMD() and self.info[0]['Family']==5 \
and self.info[0]['Model']==9
def _is_AMDK7(self):
return self.is_AMD() and self.info[0]['Family'] == 6
# To reliably distinguish between the different types of AMD64 chips
# (Athlon64, Operton, Athlon64 X2, Semperon, Turion 64, etc.) would
# require looking at the 'brand' from cpuid
def _is_AMD64(self):
return self.is_AMD() and self.info[0]['Family'] == 15
# Intel
def _is_Intel(self):
return self.info[0]['VendorIdentifier']=='GenuineIntel'
def _is_i386(self):
return self.info[0]['Family']==3
def _is_i486(self):
return self.info[0]['Family']==4
def _is_i586(self):
return self.is_Intel() and self.info[0]['Family']==5
def _is_i686(self):
return self.is_Intel() and self.info[0]['Family']==6
def _is_Pentium(self):
return self.is_Intel() and self.info[0]['Family']==5
def _is_PentiumMMX(self):
return self.is_Intel() and self.info[0]['Family']==5 \
and self.info[0]['Model']==4
def _is_PentiumPro(self):
return self.is_Intel() and self.info[0]['Family']==6 \
and self.info[0]['Model']==1
def _is_PentiumII(self):
return self.is_Intel() and self.info[0]['Family']==6 \
and self.info[0]['Model'] in [3, 5, 6]
def _is_PentiumIII(self):
return self.is_Intel() and self.info[0]['Family']==6 \
and self.info[0]['Model'] in [7, 8, 9, 10, 11]
def _is_PentiumIV(self):
return self.is_Intel() and self.info[0]['Family']==15
def _is_PentiumM(self):
return self.is_Intel() and self.info[0]['Family'] == 6 \
and self.info[0]['Model'] in [9, 13, 14]
def _is_Core2(self):
return self.is_Intel() and self.info[0]['Family'] == 6 \
and self.info[0]['Model'] in [15, 16, 17]
# Varia
def _is_singleCPU(self):
return len(self.info) == 1
def _getNCPUs(self):
return len(self.info)
def _has_mmx(self):
if self.is_Intel():
return (self.info[0]['Family']==5 and self.info[0]['Model']==4) \
or (self.info[0]['Family'] in [6, 15])
elif self.is_AMD():
return self.info[0]['Family'] in [5, 6, 15]
else:
return False
def _has_sse(self):
if self.is_Intel():
return ((self.info[0]['Family']==6 and
self.info[0]['Model'] in [7, 8, 9, 10, 11])
or self.info[0]['Family']==15)
elif self.is_AMD():
return ((self.info[0]['Family']==6 and
self.info[0]['Model'] in [6, 7, 8, 10])
or self.info[0]['Family']==15)
else:
return False
def _has_sse2(self):
if self.is_Intel():
return self.is_Pentium4() or self.is_PentiumM() \
or self.is_Core2()
elif self.is_AMD():
return self.is_AMD64()
else:
return False
def _has_3dnow(self):
return self.is_AMD() and self.info[0]['Family'] in [5, 6, 15]
def _has_3dnowext(self):
return self.is_AMD() and self.info[0]['Family'] in [6, 15]
if sys.platform.startswith('linux'): # variations: linux2,linux-i386 (any others?)
cpuinfo = LinuxCPUInfo
elif sys.platform.startswith('irix'):
cpuinfo = IRIXCPUInfo
elif sys.platform == 'darwin':
cpuinfo = DarwinCPUInfo
elif sys.platform.startswith('sunos'):
cpuinfo = SunOSCPUInfo
elif sys.platform.startswith('win32'):
cpuinfo = Win32CPUInfo
elif sys.platform.startswith('cygwin'):
cpuinfo = LinuxCPUInfo
#XXX: other OS's. Eg. use _winreg on Win32. Or os.uname on unices.
else:
cpuinfo = CPUInfoBase
cpu = cpuinfo()
#if __name__ == "__main__":
#
# cpu.is_blaa()
# cpu.is_Intel()
# cpu.is_Alpha()
#
# print('CPU information:'),
# for name in dir(cpuinfo):
# if name[0]=='_' and name[1]!='_':
# r = getattr(cpu,name[1:])()
# if r:
# if r!=1:
# print('%s=%s' %(name[1:],r))
# else:
# print(name[1:]),
# print()
| 22,639 | Python | 32.099415 | 86 | 0.543708 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/_shell_utils.py | """
Helper functions for interacting with the shell, and consuming shell-style
parameters provided in config files.
"""
import os
import shlex
import subprocess
try:
from shlex import quote
except ImportError:
from pipes import quote
__all__ = ['WindowsParser', 'PosixParser', 'NativeParser']
class CommandLineParser:
"""
An object that knows how to split and join command-line arguments.
It must be true that ``argv == split(join(argv))`` for all ``argv``.
The reverse neednt be true - `join(split(cmd))` may result in the addition
or removal of unnecessary escaping.
"""
@staticmethod
def join(argv):
""" Join a list of arguments into a command line string """
raise NotImplementedError
@staticmethod
def split(cmd):
""" Split a command line string into a list of arguments """
raise NotImplementedError
class WindowsParser:
"""
The parsing behavior used by `subprocess.call("string")` on Windows, which
matches the Microsoft C/C++ runtime.
Note that this is _not_ the behavior of cmd.
"""
@staticmethod
def join(argv):
# note that list2cmdline is specific to the windows syntax
return subprocess.list2cmdline(argv)
@staticmethod
def split(cmd):
import ctypes # guarded import for systems without ctypes
try:
ctypes.windll
except AttributeError:
raise NotImplementedError
# Windows has special parsing rules for the executable (no quotes),
# that we do not care about - insert a dummy element
if not cmd:
return []
cmd = 'dummy ' + cmd
CommandLineToArgvW = ctypes.windll.shell32.CommandLineToArgvW
CommandLineToArgvW.restype = ctypes.POINTER(ctypes.c_wchar_p)
CommandLineToArgvW.argtypes = (ctypes.c_wchar_p, ctypes.POINTER(ctypes.c_int))
nargs = ctypes.c_int()
lpargs = CommandLineToArgvW(cmd, ctypes.byref(nargs))
args = [lpargs[i] for i in range(nargs.value)]
assert not ctypes.windll.kernel32.LocalFree(lpargs)
# strip the element we inserted
assert args[0] == "dummy"
return args[1:]
class PosixParser:
"""
The parsing behavior used by `subprocess.call("string", shell=True)` on Posix.
"""
@staticmethod
def join(argv):
return ' '.join(quote(arg) for arg in argv)
@staticmethod
def split(cmd):
return shlex.split(cmd, posix=True)
if os.name == 'nt':
NativeParser = WindowsParser
elif os.name == 'posix':
NativeParser = PosixParser
| 2,613 | Python | 27.413043 | 86 | 0.652889 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/__init__.py | """
An enhanced distutils, providing support for Fortran compilers, for BLAS,
LAPACK and other common libraries for numerical computing, and more.
Public submodules are::
misc_util
system_info
cpu_info
log
exec_command
For details, please see the *Packaging* and *NumPy Distutils User Guide*
sections of the NumPy Reference Guide.
For configuring the preference for and location of libraries like BLAS and
LAPACK, and for setting include paths and similar build options, please see
``site.cfg.example`` in the root of the NumPy repository or sdist.
"""
import warnings
# Must import local ccompiler ASAP in order to get
# customized CCompiler.spawn effective.
from . import ccompiler
from . import unixccompiler
from .npy_pkg_config import *
warnings.warn("\n\n"
" `numpy.distutils` is deprecated since NumPy 1.23.0, as a result\n"
" of the deprecation of `distutils` itself. It will be removed for\n"
" Python >= 3.12. For older Python versions it will remain present.\n"
" It is recommended to use `setuptools < 60.0` for those Python versions.\n"
" For more details, see:\n"
" https://numpy.org/devdocs/reference/distutils_status_migration.html \n\n",
DeprecationWarning, stacklevel=2
)
del warnings
# If numpy is installed, add distutils.test()
try:
from . import __config__
# Normally numpy is installed if the above import works, but an interrupted
# in-place build could also have left a __config__.py. In that case the
# next import may still fail, so keep it inside the try block.
from numpy._pytesttester import PytestTester
test = PytestTester(__name__)
del PytestTester
except ImportError:
pass
def customized_fcompiler(plat=None, compiler=None):
from numpy.distutils.fcompiler import new_fcompiler
c = new_fcompiler(plat=plat, compiler=compiler)
c.customize()
return c
def customized_ccompiler(plat=None, compiler=None, verbose=1):
c = ccompiler.new_compiler(plat=plat, compiler=compiler, verbose=verbose)
c.customize('')
return c
| 2,074 | Python | 30.923076 | 83 | 0.725651 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/intelccompiler.py | import platform
from distutils.unixccompiler import UnixCCompiler
from numpy.distutils.exec_command import find_executable
from numpy.distutils.ccompiler import simple_version_match
if platform.system() == 'Windows':
from numpy.distutils.msvc9compiler import MSVCCompiler
class IntelCCompiler(UnixCCompiler):
"""A modified Intel compiler compatible with a GCC-built Python."""
compiler_type = 'intel'
cc_exe = 'icc'
cc_args = 'fPIC'
def __init__(self, verbose=0, dry_run=0, force=0):
UnixCCompiler.__init__(self, verbose, dry_run, force)
v = self.get_version()
mpopt = 'openmp' if v and v < '15' else 'qopenmp'
self.cc_exe = ('icc -fPIC -fp-model strict -O3 '
'-fomit-frame-pointer -{}').format(mpopt)
compiler = self.cc_exe
if platform.system() == 'Darwin':
shared_flag = '-Wl,-undefined,dynamic_lookup'
else:
shared_flag = '-shared'
self.set_executables(compiler=compiler,
compiler_so=compiler,
compiler_cxx=compiler,
archiver='xiar' + ' cru',
linker_exe=compiler + ' -shared-intel',
linker_so=compiler + ' ' + shared_flag +
' -shared-intel')
class IntelItaniumCCompiler(IntelCCompiler):
compiler_type = 'intele'
# On Itanium, the Intel Compiler used to be called ecc, let's search for
# it (now it's also icc, so ecc is last in the search).
for cc_exe in map(find_executable, ['icc', 'ecc']):
if cc_exe:
break
class IntelEM64TCCompiler(UnixCCompiler):
"""
A modified Intel x86_64 compiler compatible with a 64bit GCC-built Python.
"""
compiler_type = 'intelem'
cc_exe = 'icc -m64'
cc_args = '-fPIC'
def __init__(self, verbose=0, dry_run=0, force=0):
UnixCCompiler.__init__(self, verbose, dry_run, force)
v = self.get_version()
mpopt = 'openmp' if v and v < '15' else 'qopenmp'
self.cc_exe = ('icc -std=c99 -m64 -fPIC -fp-model strict -O3 '
'-fomit-frame-pointer -{}').format(mpopt)
compiler = self.cc_exe
if platform.system() == 'Darwin':
shared_flag = '-Wl,-undefined,dynamic_lookup'
else:
shared_flag = '-shared'
self.set_executables(compiler=compiler,
compiler_so=compiler,
compiler_cxx=compiler,
archiver='xiar' + ' cru',
linker_exe=compiler + ' -shared-intel',
linker_so=compiler + ' ' + shared_flag +
' -shared-intel')
if platform.system() == 'Windows':
class IntelCCompilerW(MSVCCompiler):
"""
A modified Intel compiler compatible with an MSVC-built Python.
"""
compiler_type = 'intelw'
compiler_cxx = 'icl'
def __init__(self, verbose=0, dry_run=0, force=0):
MSVCCompiler.__init__(self, verbose, dry_run, force)
version_match = simple_version_match(start=r'Intel\(R\).*?32,')
self.__version = version_match
def initialize(self, plat_name=None):
MSVCCompiler.initialize(self, plat_name)
self.cc = self.find_exe('icl.exe')
self.lib = self.find_exe('xilib')
self.linker = self.find_exe('xilink')
self.compile_options = ['/nologo', '/O3', '/MD', '/W3',
'/Qstd=c99']
self.compile_options_debug = ['/nologo', '/Od', '/MDd', '/W3',
'/Qstd=c99', '/Z7', '/D_DEBUG']
class IntelEM64TCCompilerW(IntelCCompilerW):
"""
A modified Intel x86_64 compiler compatible with
a 64bit MSVC-built Python.
"""
compiler_type = 'intelemw'
def __init__(self, verbose=0, dry_run=0, force=0):
MSVCCompiler.__init__(self, verbose, dry_run, force)
version_match = simple_version_match(start=r'Intel\(R\).*?64,')
self.__version = version_match
| 4,234 | Python | 36.8125 | 78 | 0.541096 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/core.py | import sys
from distutils.core import Distribution
if 'setuptools' in sys.modules:
have_setuptools = True
from setuptools import setup as old_setup
# easy_install imports math, it may be picked up from cwd
from setuptools.command import easy_install
try:
# very old versions of setuptools don't have this
from setuptools.command import bdist_egg
except ImportError:
have_setuptools = False
else:
from distutils.core import setup as old_setup
have_setuptools = False
import warnings
import distutils.core
import distutils.dist
from numpy.distutils.extension import Extension # noqa: F401
from numpy.distutils.numpy_distribution import NumpyDistribution
from numpy.distutils.command import config, config_compiler, \
build, build_py, build_ext, build_clib, build_src, build_scripts, \
sdist, install_data, install_headers, install, bdist_rpm, \
install_clib
from numpy.distutils.misc_util import is_sequence, is_string
numpy_cmdclass = {'build': build.build,
'build_src': build_src.build_src,
'build_scripts': build_scripts.build_scripts,
'config_cc': config_compiler.config_cc,
'config_fc': config_compiler.config_fc,
'config': config.config,
'build_ext': build_ext.build_ext,
'build_py': build_py.build_py,
'build_clib': build_clib.build_clib,
'sdist': sdist.sdist,
'install_data': install_data.install_data,
'install_headers': install_headers.install_headers,
'install_clib': install_clib.install_clib,
'install': install.install,
'bdist_rpm': bdist_rpm.bdist_rpm,
}
if have_setuptools:
# Use our own versions of develop and egg_info to ensure that build_src is
# handled appropriately.
from numpy.distutils.command import develop, egg_info
numpy_cmdclass['bdist_egg'] = bdist_egg.bdist_egg
numpy_cmdclass['develop'] = develop.develop
numpy_cmdclass['easy_install'] = easy_install.easy_install
numpy_cmdclass['egg_info'] = egg_info.egg_info
def _dict_append(d, **kws):
for k, v in kws.items():
if k not in d:
d[k] = v
continue
dv = d[k]
if isinstance(dv, tuple):
d[k] = dv + tuple(v)
elif isinstance(dv, list):
d[k] = dv + list(v)
elif isinstance(dv, dict):
_dict_append(dv, **v)
elif is_string(dv):
d[k] = dv + v
else:
raise TypeError(repr(type(dv)))
def _command_line_ok(_cache=None):
""" Return True if command line does not contain any
help or display requests.
"""
if _cache:
return _cache[0]
elif _cache is None:
_cache = []
ok = True
display_opts = ['--'+n for n in Distribution.display_option_names]
for o in Distribution.display_options:
if o[1]:
display_opts.append('-'+o[1])
for arg in sys.argv:
if arg.startswith('--help') or arg=='-h' or arg in display_opts:
ok = False
break
_cache.append(ok)
return ok
def get_distribution(always=False):
dist = distutils.core._setup_distribution
# XXX Hack to get numpy installable with easy_install.
# The problem is easy_install runs it's own setup(), which
# sets up distutils.core._setup_distribution. However,
# when our setup() runs, that gets overwritten and lost.
# We can't use isinstance, as the DistributionWithoutHelpCommands
# class is local to a function in setuptools.command.easy_install
if dist is not None and \
'DistributionWithoutHelpCommands' in repr(dist):
dist = None
if always and dist is None:
dist = NumpyDistribution()
return dist
def setup(**attr):
cmdclass = numpy_cmdclass.copy()
new_attr = attr.copy()
if 'cmdclass' in new_attr:
cmdclass.update(new_attr['cmdclass'])
new_attr['cmdclass'] = cmdclass
if 'configuration' in new_attr:
# To avoid calling configuration if there are any errors
# or help request in command in the line.
configuration = new_attr.pop('configuration')
old_dist = distutils.core._setup_distribution
old_stop = distutils.core._setup_stop_after
distutils.core._setup_distribution = None
distutils.core._setup_stop_after = "commandline"
try:
dist = setup(**new_attr)
finally:
distutils.core._setup_distribution = old_dist
distutils.core._setup_stop_after = old_stop
if dist.help or not _command_line_ok():
# probably displayed help, skip running any commands
return dist
# create setup dictionary and append to new_attr
config = configuration()
if hasattr(config, 'todict'):
config = config.todict()
_dict_append(new_attr, **config)
# Move extension source libraries to libraries
libraries = []
for ext in new_attr.get('ext_modules', []):
new_libraries = []
for item in ext.libraries:
if is_sequence(item):
lib_name, build_info = item
_check_append_ext_library(libraries, lib_name, build_info)
new_libraries.append(lib_name)
elif is_string(item):
new_libraries.append(item)
else:
raise TypeError("invalid description of extension module "
"library %r" % (item,))
ext.libraries = new_libraries
if libraries:
if 'libraries' not in new_attr:
new_attr['libraries'] = []
for item in libraries:
_check_append_library(new_attr['libraries'], item)
# sources in ext_modules or libraries may contain header files
if ('ext_modules' in new_attr or 'libraries' in new_attr) \
and 'headers' not in new_attr:
new_attr['headers'] = []
# Use our custom NumpyDistribution class instead of distutils' one
new_attr['distclass'] = NumpyDistribution
return old_setup(**new_attr)
def _check_append_library(libraries, item):
for libitem in libraries:
if is_sequence(libitem):
if is_sequence(item):
if item[0]==libitem[0]:
if item[1] is libitem[1]:
return
warnings.warn("[0] libraries list contains %r with"
" different build_info" % (item[0],),
stacklevel=2)
break
else:
if item==libitem[0]:
warnings.warn("[1] libraries list contains %r with"
" no build_info" % (item[0],),
stacklevel=2)
break
else:
if is_sequence(item):
if item[0]==libitem:
warnings.warn("[2] libraries list contains %r with"
" no build_info" % (item[0],),
stacklevel=2)
break
else:
if item==libitem:
return
libraries.append(item)
def _check_append_ext_library(libraries, lib_name, build_info):
for item in libraries:
if is_sequence(item):
if item[0]==lib_name:
if item[1] is build_info:
return
warnings.warn("[3] libraries list contains %r with"
" different build_info" % (lib_name,),
stacklevel=2)
break
elif item==lib_name:
warnings.warn("[4] libraries list contains %r with"
" no build_info" % (lib_name,),
stacklevel=2)
break
libraries.append((lib_name, build_info))
| 8,173 | Python | 36.842592 | 78 | 0.558913 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/setup.py | #!/usr/bin/env python3
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('distutils', parent_package, top_path)
config.add_subpackage('command')
config.add_subpackage('fcompiler')
config.add_subpackage('tests')
config.add_data_files('site.cfg')
config.add_data_files('mingw/gfortran_vs2003_hack.c')
config.add_data_dir('checks')
config.add_data_files('*.pyi')
config.make_config_py()
return config
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(configuration=configuration)
| 634 | Python | 34.277776 | 65 | 0.695584 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/misc_util.py | import os
import re
import sys
import copy
import glob
import atexit
import tempfile
import subprocess
import shutil
import multiprocessing
import textwrap
import importlib.util
from threading import local as tlocal
from functools import reduce
import distutils
from distutils.errors import DistutilsError
# stores temporary directory of each thread to only create one per thread
_tdata = tlocal()
# store all created temporary directories so they can be deleted on exit
_tmpdirs = []
def clean_up_temporary_directory():
if _tmpdirs is not None:
for d in _tmpdirs:
try:
shutil.rmtree(d)
except OSError:
pass
atexit.register(clean_up_temporary_directory)
__all__ = ['Configuration', 'get_numpy_include_dirs', 'default_config_dict',
'dict_append', 'appendpath', 'generate_config_py',
'get_cmd', 'allpath', 'get_mathlibs',
'terminal_has_colors', 'red_text', 'green_text', 'yellow_text',
'blue_text', 'cyan_text', 'cyg2win32', 'mingw32', 'all_strings',
'has_f_sources', 'has_cxx_sources', 'filter_sources',
'get_dependencies', 'is_local_src_dir', 'get_ext_source_files',
'get_script_files', 'get_lib_source_files', 'get_data_files',
'dot_join', 'get_frame', 'minrelpath', 'njoin',
'is_sequence', 'is_string', 'as_list', 'gpaths', 'get_language',
'get_build_architecture', 'get_info', 'get_pkg_info',
'get_num_build_jobs', 'sanitize_cxx_flags',
'exec_mod_from_location']
class InstallableLib:
"""
Container to hold information on an installable library.
Parameters
----------
name : str
Name of the installed library.
build_info : dict
Dictionary holding build information.
target_dir : str
Absolute path specifying where to install the library.
See Also
--------
Configuration.add_installed_library
Notes
-----
The three parameters are stored as attributes with the same names.
"""
def __init__(self, name, build_info, target_dir):
self.name = name
self.build_info = build_info
self.target_dir = target_dir
def get_num_build_jobs():
"""
Get number of parallel build jobs set by the --parallel command line
argument of setup.py
If the command did not receive a setting the environment variable
NPY_NUM_BUILD_JOBS is checked. If that is unset, return the number of
processors on the system, with a maximum of 8 (to prevent
overloading the system if there a lot of CPUs).
Returns
-------
out : int
number of parallel jobs that can be run
"""
from numpy.distutils.core import get_distribution
try:
cpu_count = len(os.sched_getaffinity(0))
except AttributeError:
cpu_count = multiprocessing.cpu_count()
cpu_count = min(cpu_count, 8)
envjobs = int(os.environ.get("NPY_NUM_BUILD_JOBS", cpu_count))
dist = get_distribution()
# may be None during configuration
if dist is None:
return envjobs
# any of these three may have the job set, take the largest
cmdattr = (getattr(dist.get_command_obj('build'), 'parallel', None),
getattr(dist.get_command_obj('build_ext'), 'parallel', None),
getattr(dist.get_command_obj('build_clib'), 'parallel', None))
if all(x is None for x in cmdattr):
return envjobs
else:
return max(x for x in cmdattr if x is not None)
def quote_args(args):
"""Quote list of arguments.
.. deprecated:: 1.22.
"""
import warnings
warnings.warn('"quote_args" is deprecated.',
DeprecationWarning, stacklevel=2)
# don't used _nt_quote_args as it does not check if
# args items already have quotes or not.
args = list(args)
for i in range(len(args)):
a = args[i]
if ' ' in a and a[0] not in '"\'':
args[i] = '"%s"' % (a)
return args
def allpath(name):
"Convert a /-separated pathname to one using the OS's path separator."
split = name.split('/')
return os.path.join(*split)
def rel_path(path, parent_path):
"""Return path relative to parent_path."""
# Use realpath to avoid issues with symlinked dirs (see gh-7707)
pd = os.path.realpath(os.path.abspath(parent_path))
apath = os.path.realpath(os.path.abspath(path))
if len(apath) < len(pd):
return path
if apath == pd:
return ''
if pd == apath[:len(pd)]:
assert apath[len(pd)] in [os.sep], repr((path, apath[len(pd)]))
path = apath[len(pd)+1:]
return path
def get_path_from_frame(frame, parent_path=None):
"""Return path of the module given a frame object from the call stack.
Returned path is relative to parent_path when given,
otherwise it is absolute path.
"""
# First, try to find if the file name is in the frame.
try:
caller_file = eval('__file__', frame.f_globals, frame.f_locals)
d = os.path.dirname(os.path.abspath(caller_file))
except NameError:
# __file__ is not defined, so let's try __name__. We try this second
# because setuptools spoofs __name__ to be '__main__' even though
# sys.modules['__main__'] might be something else, like easy_install(1).
caller_name = eval('__name__', frame.f_globals, frame.f_locals)
__import__(caller_name)
mod = sys.modules[caller_name]
if hasattr(mod, '__file__'):
d = os.path.dirname(os.path.abspath(mod.__file__))
else:
# we're probably running setup.py as execfile("setup.py")
# (likely we're building an egg)
d = os.path.abspath('.')
if parent_path is not None:
d = rel_path(d, parent_path)
return d or '.'
def njoin(*path):
"""Join two or more pathname components +
- convert a /-separated pathname to one using the OS's path separator.
- resolve `..` and `.` from path.
Either passing n arguments as in njoin('a','b'), or a sequence
of n names as in njoin(['a','b']) is handled, or a mixture of such arguments.
"""
paths = []
for p in path:
if is_sequence(p):
# njoin(['a', 'b'], 'c')
paths.append(njoin(*p))
else:
assert is_string(p)
paths.append(p)
path = paths
if not path:
# njoin()
joined = ''
else:
# njoin('a', 'b')
joined = os.path.join(*path)
if os.path.sep != '/':
joined = joined.replace('/', os.path.sep)
return minrelpath(joined)
def get_mathlibs(path=None):
"""Return the MATHLIB line from numpyconfig.h
"""
if path is not None:
config_file = os.path.join(path, '_numpyconfig.h')
else:
# Look for the file in each of the numpy include directories.
dirs = get_numpy_include_dirs()
for path in dirs:
fn = os.path.join(path, '_numpyconfig.h')
if os.path.exists(fn):
config_file = fn
break
else:
raise DistutilsError('_numpyconfig.h not found in numpy include '
'dirs %r' % (dirs,))
with open(config_file) as fid:
mathlibs = []
s = '#define MATHLIB'
for line in fid:
if line.startswith(s):
value = line[len(s):].strip()
if value:
mathlibs.extend(value.split(','))
return mathlibs
def minrelpath(path):
"""Resolve `..` and '.' from path.
"""
if not is_string(path):
return path
if '.' not in path:
return path
l = path.split(os.sep)
while l:
try:
i = l.index('.', 1)
except ValueError:
break
del l[i]
j = 1
while l:
try:
i = l.index('..', j)
except ValueError:
break
if l[i-1]=='..':
j += 1
else:
del l[i], l[i-1]
j = 1
if not l:
return ''
return os.sep.join(l)
def sorted_glob(fileglob):
"""sorts output of python glob for https://bugs.python.org/issue30461
to allow extensions to have reproducible build results"""
return sorted(glob.glob(fileglob))
def _fix_paths(paths, local_path, include_non_existing):
assert is_sequence(paths), repr(type(paths))
new_paths = []
assert not is_string(paths), repr(paths)
for n in paths:
if is_string(n):
if '*' in n or '?' in n:
p = sorted_glob(n)
p2 = sorted_glob(njoin(local_path, n))
if p2:
new_paths.extend(p2)
elif p:
new_paths.extend(p)
else:
if include_non_existing:
new_paths.append(n)
print('could not resolve pattern in %r: %r' %
(local_path, n))
else:
n2 = njoin(local_path, n)
if os.path.exists(n2):
new_paths.append(n2)
else:
if os.path.exists(n):
new_paths.append(n)
elif include_non_existing:
new_paths.append(n)
if not os.path.exists(n):
print('non-existing path in %r: %r' %
(local_path, n))
elif is_sequence(n):
new_paths.extend(_fix_paths(n, local_path, include_non_existing))
else:
new_paths.append(n)
return [minrelpath(p) for p in new_paths]
def gpaths(paths, local_path='', include_non_existing=True):
"""Apply glob to paths and prepend local_path if needed.
"""
if is_string(paths):
paths = (paths,)
return _fix_paths(paths, local_path, include_non_existing)
def make_temp_file(suffix='', prefix='', text=True):
if not hasattr(_tdata, 'tempdir'):
_tdata.tempdir = tempfile.mkdtemp()
_tmpdirs.append(_tdata.tempdir)
fid, name = tempfile.mkstemp(suffix=suffix,
prefix=prefix,
dir=_tdata.tempdir,
text=text)
fo = os.fdopen(fid, 'w')
return fo, name
# Hooks for colored terminal output.
# See also https://web.archive.org/web/20100314204946/http://www.livinglogic.de/Python/ansistyle
def terminal_has_colors():
if sys.platform=='cygwin' and 'USE_COLOR' not in os.environ:
# Avoid importing curses that causes illegal operation
# with a message:
# PYTHON2 caused an invalid page fault in
# module CYGNURSES7.DLL as 015f:18bbfc28
# Details: Python 2.3.3 [GCC 3.3.1 (cygming special)]
# ssh to Win32 machine from debian
# curses.version is 2.2
# CYGWIN_98-4.10, release 1.5.7(0.109/3/2))
return 0
if hasattr(sys.stdout, 'isatty') and sys.stdout.isatty():
try:
import curses
curses.setupterm()
if (curses.tigetnum("colors") >= 0
and curses.tigetnum("pairs") >= 0
and ((curses.tigetstr("setf") is not None
and curses.tigetstr("setb") is not None)
or (curses.tigetstr("setaf") is not None
and curses.tigetstr("setab") is not None)
or curses.tigetstr("scp") is not None)):
return 1
except Exception:
pass
return 0
if terminal_has_colors():
_colour_codes = dict(black=0, red=1, green=2, yellow=3,
blue=4, magenta=5, cyan=6, white=7, default=9)
def colour_text(s, fg=None, bg=None, bold=False):
seq = []
if bold:
seq.append('1')
if fg:
fgcode = 30 + _colour_codes.get(fg.lower(), 0)
seq.append(str(fgcode))
if bg:
bgcode = 40 + _colour_codes.get(fg.lower(), 7)
seq.append(str(bgcode))
if seq:
return '\x1b[%sm%s\x1b[0m' % (';'.join(seq), s)
else:
return s
else:
def colour_text(s, fg=None, bg=None):
return s
def default_text(s):
return colour_text(s, 'default')
def red_text(s):
return colour_text(s, 'red')
def green_text(s):
return colour_text(s, 'green')
def yellow_text(s):
return colour_text(s, 'yellow')
def cyan_text(s):
return colour_text(s, 'cyan')
def blue_text(s):
return colour_text(s, 'blue')
#########################
def cyg2win32(path: str) -> str:
"""Convert a path from Cygwin-native to Windows-native.
Uses the cygpath utility (part of the Base install) to do the
actual conversion. Falls back to returning the original path if
this fails.
Handles the default ``/cygdrive`` mount prefix as well as the
``/proc/cygdrive`` portable prefix, custom cygdrive prefixes such
as ``/`` or ``/mnt``, and absolute paths such as ``/usr/src/`` or
``/home/username``
Parameters
----------
path : str
The path to convert
Returns
-------
converted_path : str
The converted path
Notes
-----
Documentation for cygpath utility:
https://cygwin.com/cygwin-ug-net/cygpath.html
Documentation for the C function it wraps:
https://cygwin.com/cygwin-api/func-cygwin-conv-path.html
"""
if sys.platform != "cygwin":
return path
return subprocess.check_output(
["/usr/bin/cygpath", "--windows", path], universal_newlines=True
)
def mingw32():
"""Return true when using mingw32 environment.
"""
if sys.platform=='win32':
if os.environ.get('OSTYPE', '')=='msys':
return True
if os.environ.get('MSYSTEM', '')=='MINGW32':
return True
return False
def msvc_runtime_version():
"Return version of MSVC runtime library, as defined by __MSC_VER__ macro"
msc_pos = sys.version.find('MSC v.')
if msc_pos != -1:
msc_ver = int(sys.version[msc_pos+6:msc_pos+10])
else:
msc_ver = None
return msc_ver
def msvc_runtime_library():
"Return name of MSVC runtime library if Python was built with MSVC >= 7"
ver = msvc_runtime_major ()
if ver:
if ver < 140:
return "msvcr%i" % ver
else:
return "vcruntime%i" % ver
else:
return None
def msvc_runtime_major():
"Return major version of MSVC runtime coded like get_build_msvc_version"
major = {1300: 70, # MSVC 7.0
1310: 71, # MSVC 7.1
1400: 80, # MSVC 8
1500: 90, # MSVC 9 (aka 2008)
1600: 100, # MSVC 10 (aka 2010)
1900: 140, # MSVC 14 (aka 2015)
}.get(msvc_runtime_version(), None)
return major
#########################
#XXX need support for .C that is also C++
cxx_ext_match = re.compile(r'.*\.(cpp|cxx|cc)\Z', re.I).match
fortran_ext_match = re.compile(r'.*\.(f90|f95|f77|for|ftn|f)\Z', re.I).match
f90_ext_match = re.compile(r'.*\.(f90|f95)\Z', re.I).match
f90_module_name_match = re.compile(r'\s*module\s*(?P<name>[\w_]+)', re.I).match
def _get_f90_modules(source):
"""Return a list of Fortran f90 module names that
given source file defines.
"""
if not f90_ext_match(source):
return []
modules = []
with open(source, 'r') as f:
for line in f:
m = f90_module_name_match(line)
if m:
name = m.group('name')
modules.append(name)
# break # XXX can we assume that there is one module per file?
return modules
def is_string(s):
return isinstance(s, str)
def all_strings(lst):
"""Return True if all items in lst are string objects. """
for item in lst:
if not is_string(item):
return False
return True
def is_sequence(seq):
if is_string(seq):
return False
try:
len(seq)
except Exception:
return False
return True
def is_glob_pattern(s):
return is_string(s) and ('*' in s or '?' in s)
def as_list(seq):
if is_sequence(seq):
return list(seq)
else:
return [seq]
def get_language(sources):
# not used in numpy/scipy packages, use build_ext.detect_language instead
"""Determine language value (c,f77,f90) from sources """
language = None
for source in sources:
if isinstance(source, str):
if f90_ext_match(source):
language = 'f90'
break
elif fortran_ext_match(source):
language = 'f77'
return language
def has_f_sources(sources):
"""Return True if sources contains Fortran files """
for source in sources:
if fortran_ext_match(source):
return True
return False
def has_cxx_sources(sources):
"""Return True if sources contains C++ files """
for source in sources:
if cxx_ext_match(source):
return True
return False
def filter_sources(sources):
"""Return four lists of filenames containing
C, C++, Fortran, and Fortran 90 module sources,
respectively.
"""
c_sources = []
cxx_sources = []
f_sources = []
fmodule_sources = []
for source in sources:
if fortran_ext_match(source):
modules = _get_f90_modules(source)
if modules:
fmodule_sources.append(source)
else:
f_sources.append(source)
elif cxx_ext_match(source):
cxx_sources.append(source)
else:
c_sources.append(source)
return c_sources, cxx_sources, f_sources, fmodule_sources
def _get_headers(directory_list):
# get *.h files from list of directories
headers = []
for d in directory_list:
head = sorted_glob(os.path.join(d, "*.h")) #XXX: *.hpp files??
headers.extend(head)
return headers
def _get_directories(list_of_sources):
# get unique directories from list of sources.
direcs = []
for f in list_of_sources:
d = os.path.split(f)
if d[0] != '' and not d[0] in direcs:
direcs.append(d[0])
return direcs
def _commandline_dep_string(cc_args, extra_postargs, pp_opts):
"""
Return commandline representation used to determine if a file needs
to be recompiled
"""
cmdline = 'commandline: '
cmdline += ' '.join(cc_args)
cmdline += ' '.join(extra_postargs)
cmdline += ' '.join(pp_opts) + '\n'
return cmdline
def get_dependencies(sources):
#XXX scan sources for include statements
return _get_headers(_get_directories(sources))
def is_local_src_dir(directory):
"""Return true if directory is local directory.
"""
if not is_string(directory):
return False
abs_dir = os.path.abspath(directory)
c = os.path.commonprefix([os.getcwd(), abs_dir])
new_dir = abs_dir[len(c):].split(os.sep)
if new_dir and not new_dir[0]:
new_dir = new_dir[1:]
if new_dir and new_dir[0]=='build':
return False
new_dir = os.sep.join(new_dir)
return os.path.isdir(new_dir)
def general_source_files(top_path):
pruned_directories = {'CVS':1, '.svn':1, 'build':1}
prune_file_pat = re.compile(r'(?:[~#]|\.py[co]|\.o)$')
for dirpath, dirnames, filenames in os.walk(top_path, topdown=True):
pruned = [ d for d in dirnames if d not in pruned_directories ]
dirnames[:] = pruned
for f in filenames:
if not prune_file_pat.search(f):
yield os.path.join(dirpath, f)
def general_source_directories_files(top_path):
"""Return a directory name relative to top_path and
files contained.
"""
pruned_directories = ['CVS', '.svn', 'build']
prune_file_pat = re.compile(r'(?:[~#]|\.py[co]|\.o)$')
for dirpath, dirnames, filenames in os.walk(top_path, topdown=True):
pruned = [ d for d in dirnames if d not in pruned_directories ]
dirnames[:] = pruned
for d in dirnames:
dpath = os.path.join(dirpath, d)
rpath = rel_path(dpath, top_path)
files = []
for f in os.listdir(dpath):
fn = os.path.join(dpath, f)
if os.path.isfile(fn) and not prune_file_pat.search(fn):
files.append(fn)
yield rpath, files
dpath = top_path
rpath = rel_path(dpath, top_path)
filenames = [os.path.join(dpath, f) for f in os.listdir(dpath) \
if not prune_file_pat.search(f)]
files = [f for f in filenames if os.path.isfile(f)]
yield rpath, files
def get_ext_source_files(ext):
# Get sources and any include files in the same directory.
filenames = []
sources = [_m for _m in ext.sources if is_string(_m)]
filenames.extend(sources)
filenames.extend(get_dependencies(sources))
for d in ext.depends:
if is_local_src_dir(d):
filenames.extend(list(general_source_files(d)))
elif os.path.isfile(d):
filenames.append(d)
return filenames
def get_script_files(scripts):
scripts = [_m for _m in scripts if is_string(_m)]
return scripts
def get_lib_source_files(lib):
filenames = []
sources = lib[1].get('sources', [])
sources = [_m for _m in sources if is_string(_m)]
filenames.extend(sources)
filenames.extend(get_dependencies(sources))
depends = lib[1].get('depends', [])
for d in depends:
if is_local_src_dir(d):
filenames.extend(list(general_source_files(d)))
elif os.path.isfile(d):
filenames.append(d)
return filenames
def get_shared_lib_extension(is_python_ext=False):
"""Return the correct file extension for shared libraries.
Parameters
----------
is_python_ext : bool, optional
Whether the shared library is a Python extension. Default is False.
Returns
-------
so_ext : str
The shared library extension.
Notes
-----
For Python shared libs, `so_ext` will typically be '.so' on Linux and OS X,
and '.pyd' on Windows. For Python >= 3.2 `so_ext` has a tag prepended on
POSIX systems according to PEP 3149.
"""
confvars = distutils.sysconfig.get_config_vars()
so_ext = confvars.get('EXT_SUFFIX', '')
if not is_python_ext:
# hardcode known values, config vars (including SHLIB_SUFFIX) are
# unreliable (see #3182)
# darwin, windows and debug linux are wrong in 3.3.1 and older
if (sys.platform.startswith('linux') or
sys.platform.startswith('gnukfreebsd')):
so_ext = '.so'
elif sys.platform.startswith('darwin'):
so_ext = '.dylib'
elif sys.platform.startswith('win'):
so_ext = '.dll'
else:
# fall back to config vars for unknown platforms
# fix long extension for Python >=3.2, see PEP 3149.
if 'SOABI' in confvars:
# Does nothing unless SOABI config var exists
so_ext = so_ext.replace('.' + confvars.get('SOABI'), '', 1)
return so_ext
def get_data_files(data):
if is_string(data):
return [data]
sources = data[1]
filenames = []
for s in sources:
if hasattr(s, '__call__'):
continue
if is_local_src_dir(s):
filenames.extend(list(general_source_files(s)))
elif is_string(s):
if os.path.isfile(s):
filenames.append(s)
else:
print('Not existing data file:', s)
else:
raise TypeError(repr(s))
return filenames
def dot_join(*args):
return '.'.join([a for a in args if a])
def get_frame(level=0):
"""Return frame object from call stack with given level.
"""
try:
return sys._getframe(level+1)
except AttributeError:
frame = sys.exc_info()[2].tb_frame
for _ in range(level+1):
frame = frame.f_back
return frame
######################
class Configuration:
_list_keys = ['packages', 'ext_modules', 'data_files', 'include_dirs',
'libraries', 'headers', 'scripts', 'py_modules',
'installed_libraries', 'define_macros']
_dict_keys = ['package_dir', 'installed_pkg_config']
_extra_keys = ['name', 'version']
numpy_include_dirs = []
def __init__(self,
package_name=None,
parent_name=None,
top_path=None,
package_path=None,
caller_level=1,
setup_name='setup.py',
**attrs):
"""Construct configuration instance of a package.
package_name -- name of the package
Ex.: 'distutils'
parent_name -- name of the parent package
Ex.: 'numpy'
top_path -- directory of the toplevel package
Ex.: the directory where the numpy package source sits
package_path -- directory of package. Will be computed by magic from the
directory of the caller module if not specified
Ex.: the directory where numpy.distutils is
caller_level -- frame level to caller namespace, internal parameter.
"""
self.name = dot_join(parent_name, package_name)
self.version = None
caller_frame = get_frame(caller_level)
self.local_path = get_path_from_frame(caller_frame, top_path)
# local_path -- directory of a file (usually setup.py) that
# defines a configuration() function.
# local_path -- directory of a file (usually setup.py) that
# defines a configuration() function.
if top_path is None:
top_path = self.local_path
self.local_path = ''
if package_path is None:
package_path = self.local_path
elif os.path.isdir(njoin(self.local_path, package_path)):
package_path = njoin(self.local_path, package_path)
if not os.path.isdir(package_path or '.'):
raise ValueError("%r is not a directory" % (package_path,))
self.top_path = top_path
self.package_path = package_path
# this is the relative path in the installed package
self.path_in_package = os.path.join(*self.name.split('.'))
self.list_keys = self._list_keys[:]
self.dict_keys = self._dict_keys[:]
for n in self.list_keys:
v = copy.copy(attrs.get(n, []))
setattr(self, n, as_list(v))
for n in self.dict_keys:
v = copy.copy(attrs.get(n, {}))
setattr(self, n, v)
known_keys = self.list_keys + self.dict_keys
self.extra_keys = self._extra_keys[:]
for n in attrs.keys():
if n in known_keys:
continue
a = attrs[n]
setattr(self, n, a)
if isinstance(a, list):
self.list_keys.append(n)
elif isinstance(a, dict):
self.dict_keys.append(n)
else:
self.extra_keys.append(n)
if os.path.exists(njoin(package_path, '__init__.py')):
self.packages.append(self.name)
self.package_dir[self.name] = package_path
self.options = dict(
ignore_setup_xxx_py = False,
assume_default_configuration = False,
delegate_options_to_subpackages = False,
quiet = False,
)
caller_instance = None
for i in range(1, 3):
try:
f = get_frame(i)
except ValueError:
break
try:
caller_instance = eval('self', f.f_globals, f.f_locals)
break
except NameError:
pass
if isinstance(caller_instance, self.__class__):
if caller_instance.options['delegate_options_to_subpackages']:
self.set_options(**caller_instance.options)
self.setup_name = setup_name
def todict(self):
"""
Return a dictionary compatible with the keyword arguments of distutils
setup function.
Examples
--------
>>> setup(**config.todict()) #doctest: +SKIP
"""
self._optimize_data_files()
d = {}
known_keys = self.list_keys + self.dict_keys + self.extra_keys
for n in known_keys:
a = getattr(self, n)
if a:
d[n] = a
return d
def info(self, message):
if not self.options['quiet']:
print(message)
def warn(self, message):
sys.stderr.write('Warning: %s\n' % (message,))
def set_options(self, **options):
"""
Configure Configuration instance.
The following options are available:
- ignore_setup_xxx_py
- assume_default_configuration
- delegate_options_to_subpackages
- quiet
"""
for key, value in options.items():
if key in self.options:
self.options[key] = value
else:
raise ValueError('Unknown option: '+key)
def get_distribution(self):
"""Return the distutils distribution object for self."""
from numpy.distutils.core import get_distribution
return get_distribution()
def _wildcard_get_subpackage(self, subpackage_name,
parent_name,
caller_level = 1):
l = subpackage_name.split('.')
subpackage_path = njoin([self.local_path]+l)
dirs = [_m for _m in sorted_glob(subpackage_path) if os.path.isdir(_m)]
config_list = []
for d in dirs:
if not os.path.isfile(njoin(d, '__init__.py')):
continue
if 'build' in d.split(os.sep):
continue
n = '.'.join(d.split(os.sep)[-len(l):])
c = self.get_subpackage(n,
parent_name = parent_name,
caller_level = caller_level+1)
config_list.extend(c)
return config_list
def _get_configuration_from_setup_py(self, setup_py,
subpackage_name,
subpackage_path,
parent_name,
caller_level = 1):
# In case setup_py imports local modules:
sys.path.insert(0, os.path.dirname(setup_py))
try:
setup_name = os.path.splitext(os.path.basename(setup_py))[0]
n = dot_join(self.name, subpackage_name, setup_name)
setup_module = exec_mod_from_location(
'_'.join(n.split('.')), setup_py)
if not hasattr(setup_module, 'configuration'):
if not self.options['assume_default_configuration']:
self.warn('Assuming default configuration '\
'(%s does not define configuration())'\
% (setup_module))
config = Configuration(subpackage_name, parent_name,
self.top_path, subpackage_path,
caller_level = caller_level + 1)
else:
pn = dot_join(*([parent_name] + subpackage_name.split('.')[:-1]))
args = (pn,)
if setup_module.configuration.__code__.co_argcount > 1:
args = args + (self.top_path,)
config = setup_module.configuration(*args)
if config.name!=dot_join(parent_name, subpackage_name):
self.warn('Subpackage %r configuration returned as %r' % \
(dot_join(parent_name, subpackage_name), config.name))
finally:
del sys.path[0]
return config
def get_subpackage(self,subpackage_name,
subpackage_path=None,
parent_name=None,
caller_level = 1):
"""Return list of subpackage configurations.
Parameters
----------
subpackage_name : str or None
Name of the subpackage to get the configuration. '*' in
subpackage_name is handled as a wildcard.
subpackage_path : str
If None, then the path is assumed to be the local path plus the
subpackage_name. If a setup.py file is not found in the
subpackage_path, then a default configuration is used.
parent_name : str
Parent name.
"""
if subpackage_name is None:
if subpackage_path is None:
raise ValueError(
"either subpackage_name or subpackage_path must be specified")
subpackage_name = os.path.basename(subpackage_path)
# handle wildcards
l = subpackage_name.split('.')
if subpackage_path is None and '*' in subpackage_name:
return self._wildcard_get_subpackage(subpackage_name,
parent_name,
caller_level = caller_level+1)
assert '*' not in subpackage_name, repr((subpackage_name, subpackage_path, parent_name))
if subpackage_path is None:
subpackage_path = njoin([self.local_path] + l)
else:
subpackage_path = njoin([subpackage_path] + l[:-1])
subpackage_path = self.paths([subpackage_path])[0]
setup_py = njoin(subpackage_path, self.setup_name)
if not self.options['ignore_setup_xxx_py']:
if not os.path.isfile(setup_py):
setup_py = njoin(subpackage_path,
'setup_%s.py' % (subpackage_name))
if not os.path.isfile(setup_py):
if not self.options['assume_default_configuration']:
self.warn('Assuming default configuration '\
'(%s/{setup_%s,setup}.py was not found)' \
% (os.path.dirname(setup_py), subpackage_name))
config = Configuration(subpackage_name, parent_name,
self.top_path, subpackage_path,
caller_level = caller_level+1)
else:
config = self._get_configuration_from_setup_py(
setup_py,
subpackage_name,
subpackage_path,
parent_name,
caller_level = caller_level + 1)
if config:
return [config]
else:
return []
def add_subpackage(self,subpackage_name,
subpackage_path=None,
standalone = False):
"""Add a sub-package to the current Configuration instance.
This is useful in a setup.py script for adding sub-packages to a
package.
Parameters
----------
subpackage_name : str
name of the subpackage
subpackage_path : str
if given, the subpackage path such as the subpackage is in
subpackage_path / subpackage_name. If None,the subpackage is
assumed to be located in the local path / subpackage_name.
standalone : bool
"""
if standalone:
parent_name = None
else:
parent_name = self.name
config_list = self.get_subpackage(subpackage_name, subpackage_path,
parent_name = parent_name,
caller_level = 2)
if not config_list:
self.warn('No configuration returned, assuming unavailable.')
for config in config_list:
d = config
if isinstance(config, Configuration):
d = config.todict()
assert isinstance(d, dict), repr(type(d))
self.info('Appending %s configuration to %s' \
% (d.get('name'), self.name))
self.dict_append(**d)
dist = self.get_distribution()
if dist is not None:
self.warn('distutils distribution has been initialized,'\
' it may be too late to add a subpackage '+ subpackage_name)
def add_data_dir(self, data_path):
"""Recursively add files under data_path to data_files list.
Recursively add files under data_path to the list of data_files to be
installed (and distributed). The data_path can be either a relative
path-name, or an absolute path-name, or a 2-tuple where the first
argument shows where in the install directory the data directory
should be installed to.
Parameters
----------
data_path : seq or str
Argument can be either
* 2-sequence (<datadir suffix>, <path to data directory>)
* path to data directory where python datadir suffix defaults
to package dir.
Notes
-----
Rules for installation paths::
foo/bar -> (foo/bar, foo/bar) -> parent/foo/bar
(gun, foo/bar) -> parent/gun
foo/* -> (foo/a, foo/a), (foo/b, foo/b) -> parent/foo/a, parent/foo/b
(gun, foo/*) -> (gun, foo/a), (gun, foo/b) -> gun
(gun/*, foo/*) -> parent/gun/a, parent/gun/b
/foo/bar -> (bar, /foo/bar) -> parent/bar
(gun, /foo/bar) -> parent/gun
(fun/*/gun/*, sun/foo/bar) -> parent/fun/foo/gun/bar
Examples
--------
For example suppose the source directory contains fun/foo.dat and
fun/bar/car.dat:
>>> self.add_data_dir('fun') #doctest: +SKIP
>>> self.add_data_dir(('sun', 'fun')) #doctest: +SKIP
>>> self.add_data_dir(('gun', '/full/path/to/fun'))#doctest: +SKIP
Will install data-files to the locations::
<package install directory>/
fun/
foo.dat
bar/
car.dat
sun/
foo.dat
bar/
car.dat
gun/
foo.dat
car.dat
"""
if is_sequence(data_path):
d, data_path = data_path
else:
d = None
if is_sequence(data_path):
[self.add_data_dir((d, p)) for p in data_path]
return
if not is_string(data_path):
raise TypeError("not a string: %r" % (data_path,))
if d is None:
if os.path.isabs(data_path):
return self.add_data_dir((os.path.basename(data_path), data_path))
return self.add_data_dir((data_path, data_path))
paths = self.paths(data_path, include_non_existing=False)
if is_glob_pattern(data_path):
if is_glob_pattern(d):
pattern_list = allpath(d).split(os.sep)
pattern_list.reverse()
# /a/*//b/ -> /a/*/b
rl = list(range(len(pattern_list)-1)); rl.reverse()
for i in rl:
if not pattern_list[i]:
del pattern_list[i]
#
for path in paths:
if not os.path.isdir(path):
print('Not a directory, skipping', path)
continue
rpath = rel_path(path, self.local_path)
path_list = rpath.split(os.sep)
path_list.reverse()
target_list = []
i = 0
for s in pattern_list:
if is_glob_pattern(s):
if i>=len(path_list):
raise ValueError('cannot fill pattern %r with %r' \
% (d, path))
target_list.append(path_list[i])
else:
assert s==path_list[i], repr((s, path_list[i], data_path, d, path, rpath))
target_list.append(s)
i += 1
if path_list[i:]:
self.warn('mismatch of pattern_list=%s and path_list=%s'\
% (pattern_list, path_list))
target_list.reverse()
self.add_data_dir((os.sep.join(target_list), path))
else:
for path in paths:
self.add_data_dir((d, path))
return
assert not is_glob_pattern(d), repr(d)
dist = self.get_distribution()
if dist is not None and dist.data_files is not None:
data_files = dist.data_files
else:
data_files = self.data_files
for path in paths:
for d1, f in list(general_source_directories_files(path)):
target_path = os.path.join(self.path_in_package, d, d1)
data_files.append((target_path, f))
def _optimize_data_files(self):
data_dict = {}
for p, files in self.data_files:
if p not in data_dict:
data_dict[p] = set()
for f in files:
data_dict[p].add(f)
self.data_files[:] = [(p, list(files)) for p, files in data_dict.items()]
def add_data_files(self,*files):
"""Add data files to configuration data_files.
Parameters
----------
files : sequence
Argument(s) can be either
* 2-sequence (<datadir prefix>,<path to data file(s)>)
* paths to data files where python datadir prefix defaults
to package dir.
Notes
-----
The form of each element of the files sequence is very flexible
allowing many combinations of where to get the files from the package
and where they should ultimately be installed on the system. The most
basic usage is for an element of the files argument sequence to be a
simple filename. This will cause that file from the local path to be
installed to the installation path of the self.name package (package
path). The file argument can also be a relative path in which case the
entire relative path will be installed into the package directory.
Finally, the file can be an absolute path name in which case the file
will be found at the absolute path name but installed to the package
path.
This basic behavior can be augmented by passing a 2-tuple in as the
file argument. The first element of the tuple should specify the
relative path (under the package install directory) where the
remaining sequence of files should be installed to (it has nothing to
do with the file-names in the source distribution). The second element
of the tuple is the sequence of files that should be installed. The
files in this sequence can be filenames, relative paths, or absolute
paths. For absolute paths the file will be installed in the top-level
package installation directory (regardless of the first argument).
Filenames and relative path names will be installed in the package
install directory under the path name given as the first element of
the tuple.
Rules for installation paths:
#. file.txt -> (., file.txt)-> parent/file.txt
#. foo/file.txt -> (foo, foo/file.txt) -> parent/foo/file.txt
#. /foo/bar/file.txt -> (., /foo/bar/file.txt) -> parent/file.txt
#. ``*``.txt -> parent/a.txt, parent/b.txt
#. foo/``*``.txt`` -> parent/foo/a.txt, parent/foo/b.txt
#. ``*/*.txt`` -> (``*``, ``*``/``*``.txt) -> parent/c/a.txt, parent/d/b.txt
#. (sun, file.txt) -> parent/sun/file.txt
#. (sun, bar/file.txt) -> parent/sun/file.txt
#. (sun, /foo/bar/file.txt) -> parent/sun/file.txt
#. (sun, ``*``.txt) -> parent/sun/a.txt, parent/sun/b.txt
#. (sun, bar/``*``.txt) -> parent/sun/a.txt, parent/sun/b.txt
#. (sun/``*``, ``*``/``*``.txt) -> parent/sun/c/a.txt, parent/d/b.txt
An additional feature is that the path to a data-file can actually be
a function that takes no arguments and returns the actual path(s) to
the data-files. This is useful when the data files are generated while
building the package.
Examples
--------
Add files to the list of data_files to be included with the package.
>>> self.add_data_files('foo.dat',
... ('fun', ['gun.dat', 'nun/pun.dat', '/tmp/sun.dat']),
... 'bar/cat.dat',
... '/full/path/to/can.dat') #doctest: +SKIP
will install these data files to::
<package install directory>/
foo.dat
fun/
gun.dat
nun/
pun.dat
sun.dat
bar/
car.dat
can.dat
where <package install directory> is the package (or sub-package)
directory such as '/usr/lib/python2.4/site-packages/mypackage' ('C:
\\Python2.4 \\Lib \\site-packages \\mypackage') or
'/usr/lib/python2.4/site- packages/mypackage/mysubpackage' ('C:
\\Python2.4 \\Lib \\site-packages \\mypackage \\mysubpackage').
"""
if len(files)>1:
for f in files:
self.add_data_files(f)
return
assert len(files)==1
if is_sequence(files[0]):
d, files = files[0]
else:
d = None
if is_string(files):
filepat = files
elif is_sequence(files):
if len(files)==1:
filepat = files[0]
else:
for f in files:
self.add_data_files((d, f))
return
else:
raise TypeError(repr(type(files)))
if d is None:
if hasattr(filepat, '__call__'):
d = ''
elif os.path.isabs(filepat):
d = ''
else:
d = os.path.dirname(filepat)
self.add_data_files((d, files))
return
paths = self.paths(filepat, include_non_existing=False)
if is_glob_pattern(filepat):
if is_glob_pattern(d):
pattern_list = d.split(os.sep)
pattern_list.reverse()
for path in paths:
path_list = path.split(os.sep)
path_list.reverse()
path_list.pop() # filename
target_list = []
i = 0
for s in pattern_list:
if is_glob_pattern(s):
target_list.append(path_list[i])
i += 1
else:
target_list.append(s)
target_list.reverse()
self.add_data_files((os.sep.join(target_list), path))
else:
self.add_data_files((d, paths))
return
assert not is_glob_pattern(d), repr((d, filepat))
dist = self.get_distribution()
if dist is not None and dist.data_files is not None:
data_files = dist.data_files
else:
data_files = self.data_files
data_files.append((os.path.join(self.path_in_package, d), paths))
### XXX Implement add_py_modules
def add_define_macros(self, macros):
"""Add define macros to configuration
Add the given sequence of macro name and value duples to the beginning
of the define_macros list This list will be visible to all extension
modules of the current package.
"""
dist = self.get_distribution()
if dist is not None:
if not hasattr(dist, 'define_macros'):
dist.define_macros = []
dist.define_macros.extend(macros)
else:
self.define_macros.extend(macros)
def add_include_dirs(self,*paths):
"""Add paths to configuration include directories.
Add the given sequence of paths to the beginning of the include_dirs
list. This list will be visible to all extension modules of the
current package.
"""
include_dirs = self.paths(paths)
dist = self.get_distribution()
if dist is not None:
if dist.include_dirs is None:
dist.include_dirs = []
dist.include_dirs.extend(include_dirs)
else:
self.include_dirs.extend(include_dirs)
def add_headers(self,*files):
"""Add installable headers to configuration.
Add the given sequence of files to the beginning of the headers list.
By default, headers will be installed under <python-
include>/<self.name.replace('.','/')>/ directory. If an item of files
is a tuple, then its first argument specifies the actual installation
location relative to the <python-include> path.
Parameters
----------
files : str or seq
Argument(s) can be either:
* 2-sequence (<includedir suffix>,<path to header file(s)>)
* path(s) to header file(s) where python includedir suffix will
default to package name.
"""
headers = []
for path in files:
if is_string(path):
[headers.append((self.name, p)) for p in self.paths(path)]
else:
if not isinstance(path, (tuple, list)) or len(path) != 2:
raise TypeError(repr(path))
[headers.append((path[0], p)) for p in self.paths(path[1])]
dist = self.get_distribution()
if dist is not None:
if dist.headers is None:
dist.headers = []
dist.headers.extend(headers)
else:
self.headers.extend(headers)
def paths(self,*paths,**kws):
"""Apply glob to paths and prepend local_path if needed.
Applies glob.glob(...) to each path in the sequence (if needed) and
pre-pends the local_path if needed. Because this is called on all
source lists, this allows wildcard characters to be specified in lists
of sources for extension modules and libraries and scripts and allows
path-names be relative to the source directory.
"""
include_non_existing = kws.get('include_non_existing', True)
return gpaths(paths,
local_path = self.local_path,
include_non_existing=include_non_existing)
def _fix_paths_dict(self, kw):
for k in kw.keys():
v = kw[k]
if k in ['sources', 'depends', 'include_dirs', 'library_dirs',
'module_dirs', 'extra_objects']:
new_v = self.paths(v)
kw[k] = new_v
def add_extension(self,name,sources,**kw):
"""Add extension to configuration.
Create and add an Extension instance to the ext_modules list. This
method also takes the following optional keyword arguments that are
passed on to the Extension constructor.
Parameters
----------
name : str
name of the extension
sources : seq
list of the sources. The list of sources may contain functions
(called source generators) which must take an extension instance
and a build directory as inputs and return a source file or list of
source files or None. If None is returned then no sources are
generated. If the Extension instance has no sources after
processing all source generators, then no extension module is
built.
include_dirs :
define_macros :
undef_macros :
library_dirs :
libraries :
runtime_library_dirs :
extra_objects :
extra_compile_args :
extra_link_args :
extra_f77_compile_args :
extra_f90_compile_args :
export_symbols :
swig_opts :
depends :
The depends list contains paths to files or directories that the
sources of the extension module depend on. If any path in the
depends list is newer than the extension module, then the module
will be rebuilt.
language :
f2py_options :
module_dirs :
extra_info : dict or list
dict or list of dict of keywords to be appended to keywords.
Notes
-----
The self.paths(...) method is applied to all lists that may contain
paths.
"""
ext_args = copy.copy(kw)
ext_args['name'] = dot_join(self.name, name)
ext_args['sources'] = sources
if 'extra_info' in ext_args:
extra_info = ext_args['extra_info']
del ext_args['extra_info']
if isinstance(extra_info, dict):
extra_info = [extra_info]
for info in extra_info:
assert isinstance(info, dict), repr(info)
dict_append(ext_args,**info)
self._fix_paths_dict(ext_args)
# Resolve out-of-tree dependencies
libraries = ext_args.get('libraries', [])
libnames = []
ext_args['libraries'] = []
for libname in libraries:
if isinstance(libname, tuple):
self._fix_paths_dict(libname[1])
# Handle library names of the form libname@relative/path/to/library
if '@' in libname:
lname, lpath = libname.split('@', 1)
lpath = os.path.abspath(njoin(self.local_path, lpath))
if os.path.isdir(lpath):
c = self.get_subpackage(None, lpath,
caller_level = 2)
if isinstance(c, Configuration):
c = c.todict()
for l in [l[0] for l in c.get('libraries', [])]:
llname = l.split('__OF__', 1)[0]
if llname == lname:
c.pop('name', None)
dict_append(ext_args,**c)
break
continue
libnames.append(libname)
ext_args['libraries'] = libnames + ext_args['libraries']
ext_args['define_macros'] = \
self.define_macros + ext_args.get('define_macros', [])
from numpy.distutils.core import Extension
ext = Extension(**ext_args)
self.ext_modules.append(ext)
dist = self.get_distribution()
if dist is not None:
self.warn('distutils distribution has been initialized,'\
' it may be too late to add an extension '+name)
return ext
def add_library(self,name,sources,**build_info):
"""
Add library to configuration.
Parameters
----------
name : str
Name of the extension.
sources : sequence
List of the sources. The list of sources may contain functions
(called source generators) which must take an extension instance
and a build directory as inputs and return a source file or list of
source files or None. If None is returned then no sources are
generated. If the Extension instance has no sources after
processing all source generators, then no extension module is
built.
build_info : dict, optional
The following keys are allowed:
* depends
* macros
* include_dirs
* extra_compiler_args
* extra_f77_compile_args
* extra_f90_compile_args
* f2py_options
* language
"""
self._add_library(name, sources, None, build_info)
dist = self.get_distribution()
if dist is not None:
self.warn('distutils distribution has been initialized,'\
' it may be too late to add a library '+ name)
def _add_library(self, name, sources, install_dir, build_info):
"""Common implementation for add_library and add_installed_library. Do
not use directly"""
build_info = copy.copy(build_info)
build_info['sources'] = sources
# Sometimes, depends is not set up to an empty list by default, and if
# depends is not given to add_library, distutils barfs (#1134)
if not 'depends' in build_info:
build_info['depends'] = []
self._fix_paths_dict(build_info)
# Add to libraries list so that it is build with build_clib
self.libraries.append((name, build_info))
def add_installed_library(self, name, sources, install_dir, build_info=None):
"""
Similar to add_library, but the specified library is installed.
Most C libraries used with `distutils` are only used to build python
extensions, but libraries built through this method will be installed
so that they can be reused by third-party packages.
Parameters
----------
name : str
Name of the installed library.
sources : sequence
List of the library's source files. See `add_library` for details.
install_dir : str
Path to install the library, relative to the current sub-package.
build_info : dict, optional
The following keys are allowed:
* depends
* macros
* include_dirs
* extra_compiler_args
* extra_f77_compile_args
* extra_f90_compile_args
* f2py_options
* language
Returns
-------
None
See Also
--------
add_library, add_npy_pkg_config, get_info
Notes
-----
The best way to encode the options required to link against the specified
C libraries is to use a "libname.ini" file, and use `get_info` to
retrieve the required options (see `add_npy_pkg_config` for more
information).
"""
if not build_info:
build_info = {}
install_dir = os.path.join(self.package_path, install_dir)
self._add_library(name, sources, install_dir, build_info)
self.installed_libraries.append(InstallableLib(name, build_info, install_dir))
def add_npy_pkg_config(self, template, install_dir, subst_dict=None):
"""
Generate and install a npy-pkg config file from a template.
The config file generated from `template` is installed in the
given install directory, using `subst_dict` for variable substitution.
Parameters
----------
template : str
The path of the template, relatively to the current package path.
install_dir : str
Where to install the npy-pkg config file, relatively to the current
package path.
subst_dict : dict, optional
If given, any string of the form ``@key@`` will be replaced by
``subst_dict[key]`` in the template file when installed. The install
prefix is always available through the variable ``@prefix@``, since the
install prefix is not easy to get reliably from setup.py.
See also
--------
add_installed_library, get_info
Notes
-----
This works for both standard installs and in-place builds, i.e. the
``@prefix@`` refer to the source directory for in-place builds.
Examples
--------
::
config.add_npy_pkg_config('foo.ini.in', 'lib', {'foo': bar})
Assuming the foo.ini.in file has the following content::
[meta]
Name=@foo@
Version=1.0
Description=dummy description
[default]
Cflags=-I@prefix@/include
Libs=
The generated file will have the following content::
[meta]
Name=bar
Version=1.0
Description=dummy description
[default]
Cflags=-Iprefix_dir/include
Libs=
and will be installed as foo.ini in the 'lib' subpath.
When cross-compiling with numpy distutils, it might be necessary to
use modified npy-pkg-config files. Using the default/generated files
will link with the host libraries (i.e. libnpymath.a). For
cross-compilation you of-course need to link with target libraries,
while using the host Python installation.
You can copy out the numpy/core/lib/npy-pkg-config directory, add a
pkgdir value to the .ini files and set NPY_PKG_CONFIG_PATH environment
variable to point to the directory with the modified npy-pkg-config
files.
Example npymath.ini modified for cross-compilation::
[meta]
Name=npymath
Description=Portable, core math library implementing C99 standard
Version=0.1
[variables]
pkgname=numpy.core
pkgdir=/build/arm-linux-gnueabi/sysroot/usr/lib/python3.7/site-packages/numpy/core
prefix=${pkgdir}
libdir=${prefix}/lib
includedir=${prefix}/include
[default]
Libs=-L${libdir} -lnpymath
Cflags=-I${includedir}
Requires=mlib
[msvc]
Libs=/LIBPATH:${libdir} npymath.lib
Cflags=/INCLUDE:${includedir}
Requires=mlib
"""
if subst_dict is None:
subst_dict = {}
template = os.path.join(self.package_path, template)
if self.name in self.installed_pkg_config:
self.installed_pkg_config[self.name].append((template, install_dir,
subst_dict))
else:
self.installed_pkg_config[self.name] = [(template, install_dir,
subst_dict)]
def add_scripts(self,*files):
"""Add scripts to configuration.
Add the sequence of files to the beginning of the scripts list.
Scripts will be installed under the <prefix>/bin/ directory.
"""
scripts = self.paths(files)
dist = self.get_distribution()
if dist is not None:
if dist.scripts is None:
dist.scripts = []
dist.scripts.extend(scripts)
else:
self.scripts.extend(scripts)
def dict_append(self,**dict):
for key in self.list_keys:
a = getattr(self, key)
a.extend(dict.get(key, []))
for key in self.dict_keys:
a = getattr(self, key)
a.update(dict.get(key, {}))
known_keys = self.list_keys + self.dict_keys + self.extra_keys
for key in dict.keys():
if key not in known_keys:
a = getattr(self, key, None)
if a and a==dict[key]: continue
self.warn('Inheriting attribute %r=%r from %r' \
% (key, dict[key], dict.get('name', '?')))
setattr(self, key, dict[key])
self.extra_keys.append(key)
elif key in self.extra_keys:
self.info('Ignoring attempt to set %r (from %r to %r)' \
% (key, getattr(self, key), dict[key]))
elif key in known_keys:
# key is already processed above
pass
else:
raise ValueError("Don't know about key=%r" % (key))
def __str__(self):
from pprint import pformat
known_keys = self.list_keys + self.dict_keys + self.extra_keys
s = '<'+5*'-' + '\n'
s += 'Configuration of '+self.name+':\n'
known_keys.sort()
for k in known_keys:
a = getattr(self, k, None)
if a:
s += '%s = %s\n' % (k, pformat(a))
s += 5*'-' + '>'
return s
def get_config_cmd(self):
"""
Returns the numpy.distutils config command instance.
"""
cmd = get_cmd('config')
cmd.ensure_finalized()
cmd.dump_source = 0
cmd.noisy = 0
old_path = os.environ.get('PATH')
if old_path:
path = os.pathsep.join(['.', old_path])
os.environ['PATH'] = path
return cmd
def get_build_temp_dir(self):
"""
Return a path to a temporary directory where temporary files should be
placed.
"""
cmd = get_cmd('build')
cmd.ensure_finalized()
return cmd.build_temp
def have_f77c(self):
"""Check for availability of Fortran 77 compiler.
Use it inside source generating function to ensure that
setup distribution instance has been initialized.
Notes
-----
True if a Fortran 77 compiler is available (because a simple Fortran 77
code was able to be compiled successfully).
"""
simple_fortran_subroutine = '''
subroutine simple
end
'''
config_cmd = self.get_config_cmd()
flag = config_cmd.try_compile(simple_fortran_subroutine, lang='f77')
return flag
def have_f90c(self):
"""Check for availability of Fortran 90 compiler.
Use it inside source generating function to ensure that
setup distribution instance has been initialized.
Notes
-----
True if a Fortran 90 compiler is available (because a simple Fortran
90 code was able to be compiled successfully)
"""
simple_fortran_subroutine = '''
subroutine simple
end
'''
config_cmd = self.get_config_cmd()
flag = config_cmd.try_compile(simple_fortran_subroutine, lang='f90')
return flag
def append_to(self, extlib):
"""Append libraries, include_dirs to extension or library item.
"""
if is_sequence(extlib):
lib_name, build_info = extlib
dict_append(build_info,
libraries=self.libraries,
include_dirs=self.include_dirs)
else:
from numpy.distutils.core import Extension
assert isinstance(extlib, Extension), repr(extlib)
extlib.libraries.extend(self.libraries)
extlib.include_dirs.extend(self.include_dirs)
def _get_svn_revision(self, path):
"""Return path's SVN revision number.
"""
try:
output = subprocess.check_output(['svnversion'], cwd=path)
except (subprocess.CalledProcessError, OSError):
pass
else:
m = re.match(rb'(?P<revision>\d+)', output)
if m:
return int(m.group('revision'))
if sys.platform=='win32' and os.environ.get('SVN_ASP_DOT_NET_HACK', None):
entries = njoin(path, '_svn', 'entries')
else:
entries = njoin(path, '.svn', 'entries')
if os.path.isfile(entries):
with open(entries) as f:
fstr = f.read()
if fstr[:5] == '<?xml': # pre 1.4
m = re.search(r'revision="(?P<revision>\d+)"', fstr)
if m:
return int(m.group('revision'))
else: # non-xml entries file --- check to be sure that
m = re.search(r'dir[\n\r]+(?P<revision>\d+)', fstr)
if m:
return int(m.group('revision'))
return None
def _get_hg_revision(self, path):
"""Return path's Mercurial revision number.
"""
try:
output = subprocess.check_output(
['hg', 'identify', '--num'], cwd=path)
except (subprocess.CalledProcessError, OSError):
pass
else:
m = re.match(rb'(?P<revision>\d+)', output)
if m:
return int(m.group('revision'))
branch_fn = njoin(path, '.hg', 'branch')
branch_cache_fn = njoin(path, '.hg', 'branch.cache')
if os.path.isfile(branch_fn):
branch0 = None
with open(branch_fn) as f:
revision0 = f.read().strip()
branch_map = {}
with open(branch_cache_fn, 'r') as f:
for line in f:
branch1, revision1 = line.split()[:2]
if revision1==revision0:
branch0 = branch1
try:
revision1 = int(revision1)
except ValueError:
continue
branch_map[branch1] = revision1
return branch_map.get(branch0)
return None
def get_version(self, version_file=None, version_variable=None):
"""Try to get version string of a package.
Return a version string of the current package or None if the version
information could not be detected.
Notes
-----
This method scans files named
__version__.py, <packagename>_version.py, version.py, and
__svn_version__.py for string variables version, __version__, and
<packagename>_version, until a version number is found.
"""
version = getattr(self, 'version', None)
if version is not None:
return version
# Get version from version file.
if version_file is None:
files = ['__version__.py',
self.name.split('.')[-1]+'_version.py',
'version.py',
'__svn_version__.py',
'__hg_version__.py']
else:
files = [version_file]
if version_variable is None:
version_vars = ['version',
'__version__',
self.name.split('.')[-1]+'_version']
else:
version_vars = [version_variable]
for f in files:
fn = njoin(self.local_path, f)
if os.path.isfile(fn):
info = ('.py', 'U', 1)
name = os.path.splitext(os.path.basename(fn))[0]
n = dot_join(self.name, name)
try:
version_module = exec_mod_from_location(
'_'.join(n.split('.')), fn)
except ImportError as e:
self.warn(str(e))
version_module = None
if version_module is None:
continue
for a in version_vars:
version = getattr(version_module, a, None)
if version is not None:
break
# Try if versioneer module
try:
version = version_module.get_versions()['version']
except AttributeError:
pass
if version is not None:
break
if version is not None:
self.version = version
return version
# Get version as SVN or Mercurial revision number
revision = self._get_svn_revision(self.local_path)
if revision is None:
revision = self._get_hg_revision(self.local_path)
if revision is not None:
version = str(revision)
self.version = version
return version
def make_svn_version_py(self, delete=True):
"""Appends a data function to the data_files list that will generate
__svn_version__.py file to the current package directory.
Generate package __svn_version__.py file from SVN revision number,
it will be removed after python exits but will be available
when sdist, etc commands are executed.
Notes
-----
If __svn_version__.py existed before, nothing is done.
This is
intended for working with source directories that are in an SVN
repository.
"""
target = njoin(self.local_path, '__svn_version__.py')
revision = self._get_svn_revision(self.local_path)
if os.path.isfile(target) or revision is None:
return
else:
def generate_svn_version_py():
if not os.path.isfile(target):
version = str(revision)
self.info('Creating %s (version=%r)' % (target, version))
with open(target, 'w') as f:
f.write('version = %r\n' % (version))
def rm_file(f=target,p=self.info):
if delete:
try: os.remove(f); p('removed '+f)
except OSError: pass
try: os.remove(f+'c'); p('removed '+f+'c')
except OSError: pass
atexit.register(rm_file)
return target
self.add_data_files(('', generate_svn_version_py()))
def make_hg_version_py(self, delete=True):
"""Appends a data function to the data_files list that will generate
__hg_version__.py file to the current package directory.
Generate package __hg_version__.py file from Mercurial revision,
it will be removed after python exits but will be available
when sdist, etc commands are executed.
Notes
-----
If __hg_version__.py existed before, nothing is done.
This is intended for working with source directories that are
in an Mercurial repository.
"""
target = njoin(self.local_path, '__hg_version__.py')
revision = self._get_hg_revision(self.local_path)
if os.path.isfile(target) or revision is None:
return
else:
def generate_hg_version_py():
if not os.path.isfile(target):
version = str(revision)
self.info('Creating %s (version=%r)' % (target, version))
with open(target, 'w') as f:
f.write('version = %r\n' % (version))
def rm_file(f=target,p=self.info):
if delete:
try: os.remove(f); p('removed '+f)
except OSError: pass
try: os.remove(f+'c'); p('removed '+f+'c')
except OSError: pass
atexit.register(rm_file)
return target
self.add_data_files(('', generate_hg_version_py()))
def make_config_py(self,name='__config__'):
"""Generate package __config__.py file containing system_info
information used during building the package.
This file is installed to the
package installation directory.
"""
self.py_modules.append((self.name, name, generate_config_py))
def get_info(self,*names):
"""Get resources information.
Return information (from system_info.get_info) for all of the names in
the argument list in a single dictionary.
"""
from .system_info import get_info, dict_append
info_dict = {}
for a in names:
dict_append(info_dict,**get_info(a))
return info_dict
def get_cmd(cmdname, _cache={}):
if cmdname not in _cache:
import distutils.core
dist = distutils.core._setup_distribution
if dist is None:
from distutils.errors import DistutilsInternalError
raise DistutilsInternalError(
'setup distribution instance not initialized')
cmd = dist.get_command_obj(cmdname)
_cache[cmdname] = cmd
return _cache[cmdname]
def get_numpy_include_dirs():
# numpy_include_dirs are set by numpy/core/setup.py, otherwise []
include_dirs = Configuration.numpy_include_dirs[:]
if not include_dirs:
import numpy
include_dirs = [ numpy.get_include() ]
# else running numpy/core/setup.py
return include_dirs
def get_npy_pkg_dir():
"""Return the path where to find the npy-pkg-config directory.
If the NPY_PKG_CONFIG_PATH environment variable is set, the value of that
is returned. Otherwise, a path inside the location of the numpy module is
returned.
The NPY_PKG_CONFIG_PATH can be useful when cross-compiling, maintaining
customized npy-pkg-config .ini files for the cross-compilation
environment, and using them when cross-compiling.
"""
d = os.environ.get('NPY_PKG_CONFIG_PATH')
if d is not None:
return d
spec = importlib.util.find_spec('numpy')
d = os.path.join(os.path.dirname(spec.origin),
'core', 'lib', 'npy-pkg-config')
return d
def get_pkg_info(pkgname, dirs=None):
"""
Return library info for the given package.
Parameters
----------
pkgname : str
Name of the package (should match the name of the .ini file, without
the extension, e.g. foo for the file foo.ini).
dirs : sequence, optional
If given, should be a sequence of additional directories where to look
for npy-pkg-config files. Those directories are searched prior to the
NumPy directory.
Returns
-------
pkginfo : class instance
The `LibraryInfo` instance containing the build information.
Raises
------
PkgNotFound
If the package is not found.
See Also
--------
Configuration.add_npy_pkg_config, Configuration.add_installed_library,
get_info
"""
from numpy.distutils.npy_pkg_config import read_config
if dirs:
dirs.append(get_npy_pkg_dir())
else:
dirs = [get_npy_pkg_dir()]
return read_config(pkgname, dirs)
def get_info(pkgname, dirs=None):
"""
Return an info dict for a given C library.
The info dict contains the necessary options to use the C library.
Parameters
----------
pkgname : str
Name of the package (should match the name of the .ini file, without
the extension, e.g. foo for the file foo.ini).
dirs : sequence, optional
If given, should be a sequence of additional directories where to look
for npy-pkg-config files. Those directories are searched prior to the
NumPy directory.
Returns
-------
info : dict
The dictionary with build information.
Raises
------
PkgNotFound
If the package is not found.
See Also
--------
Configuration.add_npy_pkg_config, Configuration.add_installed_library,
get_pkg_info
Examples
--------
To get the necessary information for the npymath library from NumPy:
>>> npymath_info = np.distutils.misc_util.get_info('npymath')
>>> npymath_info #doctest: +SKIP
{'define_macros': [], 'libraries': ['npymath'], 'library_dirs':
['.../numpy/core/lib'], 'include_dirs': ['.../numpy/core/include']}
This info dict can then be used as input to a `Configuration` instance::
config.add_extension('foo', sources=['foo.c'], extra_info=npymath_info)
"""
from numpy.distutils.npy_pkg_config import parse_flags
pkg_info = get_pkg_info(pkgname, dirs)
# Translate LibraryInfo instance into a build_info dict
info = parse_flags(pkg_info.cflags())
for k, v in parse_flags(pkg_info.libs()).items():
info[k].extend(v)
# add_extension extra_info argument is ANAL
info['define_macros'] = info['macros']
del info['macros']
del info['ignored']
return info
def is_bootstrapping():
import builtins
try:
builtins.__NUMPY_SETUP__
return True
except AttributeError:
return False
#########################
def default_config_dict(name = None, parent_name = None, local_path=None):
"""Return a configuration dictionary for usage in
configuration() function defined in file setup_<name>.py.
"""
import warnings
warnings.warn('Use Configuration(%r,%r,top_path=%r) instead of '\
'deprecated default_config_dict(%r,%r,%r)'
% (name, parent_name, local_path,
name, parent_name, local_path,
), stacklevel=2)
c = Configuration(name, parent_name, local_path)
return c.todict()
def dict_append(d, **kws):
for k, v in kws.items():
if k in d:
ov = d[k]
if isinstance(ov, str):
d[k] = v
else:
d[k].extend(v)
else:
d[k] = v
def appendpath(prefix, path):
if os.path.sep != '/':
prefix = prefix.replace('/', os.path.sep)
path = path.replace('/', os.path.sep)
drive = ''
if os.path.isabs(path):
drive = os.path.splitdrive(prefix)[0]
absprefix = os.path.splitdrive(os.path.abspath(prefix))[1]
pathdrive, path = os.path.splitdrive(path)
d = os.path.commonprefix([absprefix, path])
if os.path.join(absprefix[:len(d)], absprefix[len(d):]) != absprefix \
or os.path.join(path[:len(d)], path[len(d):]) != path:
# Handle invalid paths
d = os.path.dirname(d)
subpath = path[len(d):]
if os.path.isabs(subpath):
subpath = subpath[1:]
else:
subpath = path
return os.path.normpath(njoin(drive + prefix, subpath))
def generate_config_py(target):
"""Generate config.py file containing system_info information
used during building the package.
Usage:
config['py_modules'].append((packagename, '__config__',generate_config_py))
"""
from numpy.distutils.system_info import system_info
from distutils.dir_util import mkpath
mkpath(os.path.dirname(target))
with open(target, 'w') as f:
f.write('# This file is generated by numpy\'s %s\n' % (os.path.basename(sys.argv[0])))
f.write('# It contains system_info results at the time of building this package.\n')
f.write('__all__ = ["get_info","show"]\n\n')
# For gfortran+msvc combination, extra shared libraries may exist
f.write(textwrap.dedent("""
import os
import sys
extra_dll_dir = os.path.join(os.path.dirname(__file__), '.libs')
if sys.platform == 'win32' and os.path.isdir(extra_dll_dir):
os.add_dll_directory(extra_dll_dir)
"""))
for k, i in system_info.saved_results.items():
f.write('%s=%r\n' % (k, i))
f.write(textwrap.dedent(r'''
def get_info(name):
g = globals()
return g.get(name, g.get(name + "_info", {}))
def show():
"""
Show libraries in the system on which NumPy was built.
Print information about various resources (libraries, library
directories, include directories, etc.) in the system on which
NumPy was built.
See Also
--------
get_include : Returns the directory containing NumPy C
header files.
Notes
-----
1. Classes specifying the information to be printed are defined
in the `numpy.distutils.system_info` module.
Information may include:
* ``language``: language used to write the libraries (mostly
C or f77)
* ``libraries``: names of libraries found in the system
* ``library_dirs``: directories containing the libraries
* ``include_dirs``: directories containing library header files
* ``src_dirs``: directories containing library source files
* ``define_macros``: preprocessor macros used by
``distutils.setup``
* ``baseline``: minimum CPU features required
* ``found``: dispatched features supported in the system
* ``not found``: dispatched features that are not supported
in the system
2. NumPy BLAS/LAPACK Installation Notes
Installing a numpy wheel (``pip install numpy`` or force it
via ``pip install numpy --only-binary :numpy: numpy``) includes
an OpenBLAS implementation of the BLAS and LAPACK linear algebra
APIs. In this case, ``library_dirs`` reports the original build
time configuration as compiled with gcc/gfortran; at run time
the OpenBLAS library is in
``site-packages/numpy.libs/`` (linux), or
``site-packages/numpy/.dylibs/`` (macOS), or
``site-packages/numpy/.libs/`` (windows).
Installing numpy from source
(``pip install numpy --no-binary numpy``) searches for BLAS and
LAPACK dynamic link libraries at build time as influenced by
environment variables NPY_BLAS_LIBS, NPY_CBLAS_LIBS, and
NPY_LAPACK_LIBS; or NPY_BLAS_ORDER and NPY_LAPACK_ORDER;
or the optional file ``~/.numpy-site.cfg``.
NumPy remembers those locations and expects to load the same
libraries at run-time.
In NumPy 1.21+ on macOS, 'accelerate' (Apple's Accelerate BLAS
library) is in the default build-time search order after
'openblas'.
Examples
--------
>>> import numpy as np
>>> np.show_config()
blas_opt_info:
language = c
define_macros = [('HAVE_CBLAS', None)]
libraries = ['openblas', 'openblas']
library_dirs = ['/usr/local/lib']
"""
from numpy.core._multiarray_umath import (
__cpu_features__, __cpu_baseline__, __cpu_dispatch__
)
for name,info_dict in globals().items():
if name[0] == "_" or type(info_dict) is not type({}): continue
print(name + ":")
if not info_dict:
print(" NOT AVAILABLE")
for k,v in info_dict.items():
v = str(v)
if k == "sources" and len(v) > 200:
v = v[:60] + " ...\n... " + v[-60:]
print(" %s = %s" % (k,v))
features_found, features_not_found = [], []
for feature in __cpu_dispatch__:
if __cpu_features__[feature]:
features_found.append(feature)
else:
features_not_found.append(feature)
print("Supported SIMD extensions in this NumPy install:")
print(" baseline = %s" % (','.join(__cpu_baseline__)))
print(" found = %s" % (','.join(features_found)))
print(" not found = %s" % (','.join(features_not_found)))
'''))
return target
def msvc_version(compiler):
"""Return version major and minor of compiler instance if it is
MSVC, raise an exception otherwise."""
if not compiler.compiler_type == "msvc":
raise ValueError("Compiler instance is not msvc (%s)"\
% compiler.compiler_type)
return compiler._MSVCCompiler__version
def get_build_architecture():
# Importing distutils.msvccompiler triggers a warning on non-Windows
# systems, so delay the import to here.
from distutils.msvccompiler import get_build_architecture
return get_build_architecture()
_cxx_ignore_flags = {'-Werror=implicit-function-declaration', '-std=c99'}
def sanitize_cxx_flags(cxxflags):
'''
Some flags are valid for C but not C++. Prune them.
'''
return [flag for flag in cxxflags if flag not in _cxx_ignore_flags]
def exec_mod_from_location(modname, modfile):
'''
Use importlib machinery to import a module `modname` from the file
`modfile`. Depending on the `spec.loader`, the module may not be
registered in sys.modules.
'''
spec = importlib.util.spec_from_file_location(modname, modfile)
foo = importlib.util.module_from_spec(spec)
spec.loader.exec_module(foo)
return foo
| 89,383 | Python | 34.839615 | 102 | 0.544824 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/conv_template.py | #!/usr/bin/env python3
"""
takes templated file .xxx.src and produces .xxx file where .xxx is
.i or .c or .h, using the following template rules
/**begin repeat -- on a line by itself marks the start of a repeated code
segment
/**end repeat**/ -- on a line by itself marks it's end
After the /**begin repeat and before the */, all the named templates are placed
these should all have the same number of replacements
Repeat blocks can be nested, with each nested block labeled with its depth,
i.e.
/**begin repeat1
*....
*/
/**end repeat1**/
When using nested loops, you can optionally exclude particular
combinations of the variables using (inside the comment portion of the inner loop):
:exclude: var1=value1, var2=value2, ...
This will exclude the pattern where var1 is value1 and var2 is value2 when
the result is being generated.
In the main body each replace will use one entry from the list of named replacements
Note that all #..# forms in a block must have the same number of
comma-separated entries.
Example:
An input file containing
/**begin repeat
* #a = 1,2,3#
* #b = 1,2,3#
*/
/**begin repeat1
* #c = ted, jim#
*/
@a@, @b@, @c@
/**end repeat1**/
/**end repeat**/
produces
line 1 "template.c.src"
/*
*********************************************************************
** This file was autogenerated from a template DO NOT EDIT!!**
** Changes should be made to the original source (.src) file **
*********************************************************************
*/
#line 9
1, 1, ted
#line 9
1, 1, jim
#line 9
2, 2, ted
#line 9
2, 2, jim
#line 9
3, 3, ted
#line 9
3, 3, jim
"""
__all__ = ['process_str', 'process_file']
import os
import sys
import re
# names for replacement that are already global.
global_names = {}
# header placed at the front of head processed file
header =\
"""
/*
*****************************************************************************
** This file was autogenerated from a template DO NOT EDIT!!!! **
** Changes should be made to the original source (.src) file **
*****************************************************************************
*/
"""
# Parse string for repeat loops
def parse_structure(astr, level):
"""
The returned line number is from the beginning of the string, starting
at zero. Returns an empty list if no loops found.
"""
if level == 0 :
loopbeg = "/**begin repeat"
loopend = "/**end repeat**/"
else :
loopbeg = "/**begin repeat%d" % level
loopend = "/**end repeat%d**/" % level
ind = 0
line = 0
spanlist = []
while True:
start = astr.find(loopbeg, ind)
if start == -1:
break
start2 = astr.find("*/", start)
start2 = astr.find("\n", start2)
fini1 = astr.find(loopend, start2)
fini2 = astr.find("\n", fini1)
line += astr.count("\n", ind, start2+1)
spanlist.append((start, start2+1, fini1, fini2+1, line))
line += astr.count("\n", start2+1, fini2)
ind = fini2
spanlist.sort()
return spanlist
def paren_repl(obj):
torep = obj.group(1)
numrep = obj.group(2)
return ','.join([torep]*int(numrep))
parenrep = re.compile(r"\(([^)]*)\)\*(\d+)")
plainrep = re.compile(r"([^*]+)\*(\d+)")
def parse_values(astr):
# replaces all occurrences of '(a,b,c)*4' in astr
# with 'a,b,c,a,b,c,a,b,c,a,b,c'. Empty braces generate
# empty values, i.e., ()*4 yields ',,,'. The result is
# split at ',' and a list of values returned.
astr = parenrep.sub(paren_repl, astr)
# replaces occurrences of xxx*3 with xxx, xxx, xxx
astr = ','.join([plainrep.sub(paren_repl, x.strip())
for x in astr.split(',')])
return astr.split(',')
stripast = re.compile(r"\n\s*\*?")
named_re = re.compile(r"#\s*(\w*)\s*=([^#]*)#")
exclude_vars_re = re.compile(r"(\w*)=(\w*)")
exclude_re = re.compile(":exclude:")
def parse_loop_header(loophead) :
"""Find all named replacements in the header
Returns a list of dictionaries, one for each loop iteration,
where each key is a name to be substituted and the corresponding
value is the replacement string.
Also return a list of exclusions. The exclusions are dictionaries
of key value pairs. There can be more than one exclusion.
[{'var1':'value1', 'var2', 'value2'[,...]}, ...]
"""
# Strip out '\n' and leading '*', if any, in continuation lines.
# This should not effect code previous to this change as
# continuation lines were not allowed.
loophead = stripast.sub("", loophead)
# parse out the names and lists of values
names = []
reps = named_re.findall(loophead)
nsub = None
for rep in reps:
name = rep[0]
vals = parse_values(rep[1])
size = len(vals)
if nsub is None :
nsub = size
elif nsub != size :
msg = "Mismatch in number of values, %d != %d\n%s = %s"
raise ValueError(msg % (nsub, size, name, vals))
names.append((name, vals))
# Find any exclude variables
excludes = []
for obj in exclude_re.finditer(loophead):
span = obj.span()
# find next newline
endline = loophead.find('\n', span[1])
substr = loophead[span[1]:endline]
ex_names = exclude_vars_re.findall(substr)
excludes.append(dict(ex_names))
# generate list of dictionaries, one for each template iteration
dlist = []
if nsub is None :
raise ValueError("No substitution variables found")
for i in range(nsub):
tmp = {name: vals[i] for name, vals in names}
dlist.append(tmp)
return dlist
replace_re = re.compile(r"@(\w+)@")
def parse_string(astr, env, level, line) :
lineno = "#line %d\n" % line
# local function for string replacement, uses env
def replace(match):
name = match.group(1)
try :
val = env[name]
except KeyError:
msg = 'line %d: no definition of key "%s"'%(line, name)
raise ValueError(msg) from None
return val
code = [lineno]
struct = parse_structure(astr, level)
if struct :
# recurse over inner loops
oldend = 0
newlevel = level + 1
for sub in struct:
pref = astr[oldend:sub[0]]
head = astr[sub[0]:sub[1]]
text = astr[sub[1]:sub[2]]
oldend = sub[3]
newline = line + sub[4]
code.append(replace_re.sub(replace, pref))
try :
envlist = parse_loop_header(head)
except ValueError as e:
msg = "line %d: %s" % (newline, e)
raise ValueError(msg)
for newenv in envlist :
newenv.update(env)
newcode = parse_string(text, newenv, newlevel, newline)
code.extend(newcode)
suff = astr[oldend:]
code.append(replace_re.sub(replace, suff))
else :
# replace keys
code.append(replace_re.sub(replace, astr))
code.append('\n')
return ''.join(code)
def process_str(astr):
code = [header]
code.extend(parse_string(astr, global_names, 0, 1))
return ''.join(code)
include_src_re = re.compile(r"(\n|\A)#include\s*['\"]"
r"(?P<name>[\w\d./\\]+[.]src)['\"]", re.I)
def resolve_includes(source):
d = os.path.dirname(source)
with open(source) as fid:
lines = []
for line in fid:
m = include_src_re.match(line)
if m:
fn = m.group('name')
if not os.path.isabs(fn):
fn = os.path.join(d, fn)
if os.path.isfile(fn):
lines.extend(resolve_includes(fn))
else:
lines.append(line)
else:
lines.append(line)
return lines
def process_file(source):
lines = resolve_includes(source)
sourcefile = os.path.normcase(source).replace("\\", "\\\\")
try:
code = process_str(''.join(lines))
except ValueError as e:
raise ValueError('In "%s" loop at %s' % (sourcefile, e)) from None
return '#line 1 "%s"\n%s' % (sourcefile, code)
def unique_key(adict):
# this obtains a unique key given a dictionary
# currently it works by appending together n of the letters of the
# current keys and increasing n until a unique key is found
# -- not particularly quick
allkeys = list(adict.keys())
done = False
n = 1
while not done:
newkey = "".join([x[:n] for x in allkeys])
if newkey in allkeys:
n += 1
else:
done = True
return newkey
def main():
try:
file = sys.argv[1]
except IndexError:
fid = sys.stdin
outfile = sys.stdout
else:
fid = open(file, 'r')
(base, ext) = os.path.splitext(file)
newname = base
outfile = open(newname, 'w')
allstr = fid.read()
try:
writestr = process_str(allstr)
except ValueError as e:
raise ValueError("In %s loop at %s" % (file, e)) from None
outfile.write(writestr)
if __name__ == "__main__":
main()
| 9,536 | Python | 27.9 | 84 | 0.543624 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/from_template.py | #!/usr/bin/env python3
"""
process_file(filename)
takes templated file .xxx.src and produces .xxx file where .xxx
is .pyf .f90 or .f using the following template rules:
'<..>' denotes a template.
All function and subroutine blocks in a source file with names that
contain '<..>' will be replicated according to the rules in '<..>'.
The number of comma-separated words in '<..>' will determine the number of
replicates.
'<..>' may have two different forms, named and short. For example,
named:
<p=d,s,z,c> where anywhere inside a block '<p>' will be replaced with
'd', 's', 'z', and 'c' for each replicate of the block.
<_c> is already defined: <_c=s,d,c,z>
<_t> is already defined: <_t=real,double precision,complex,double complex>
short:
<s,d,c,z>, a short form of the named, useful when no <p> appears inside
a block.
In general, '<..>' contains a comma separated list of arbitrary
expressions. If these expression must contain a comma|leftarrow|rightarrow,
then prepend the comma|leftarrow|rightarrow with a backslash.
If an expression matches '\\<index>' then it will be replaced
by <index>-th expression.
Note that all '<..>' forms in a block must have the same number of
comma-separated entries.
Predefined named template rules:
<prefix=s,d,c,z>
<ftype=real,double precision,complex,double complex>
<ftypereal=real,double precision,\\0,\\1>
<ctype=float,double,complex_float,complex_double>
<ctypereal=float,double,\\0,\\1>
"""
__all__ = ['process_str', 'process_file']
import os
import sys
import re
routine_start_re = re.compile(r'(\n|\A)(( (\$|\*))|)\s*(subroutine|function)\b', re.I)
routine_end_re = re.compile(r'\n\s*end\s*(subroutine|function)\b.*(\n|\Z)', re.I)
function_start_re = re.compile(r'\n (\$|\*)\s*function\b', re.I)
def parse_structure(astr):
""" Return a list of tuples for each function or subroutine each
tuple is the start and end of a subroutine or function to be
expanded.
"""
spanlist = []
ind = 0
while True:
m = routine_start_re.search(astr, ind)
if m is None:
break
start = m.start()
if function_start_re.match(astr, start, m.end()):
while True:
i = astr.rfind('\n', ind, start)
if i==-1:
break
start = i
if astr[i:i+7]!='\n $':
break
start += 1
m = routine_end_re.search(astr, m.end())
ind = end = m and m.end()-1 or len(astr)
spanlist.append((start, end))
return spanlist
template_re = re.compile(r"<\s*(\w[\w\d]*)\s*>")
named_re = re.compile(r"<\s*(\w[\w\d]*)\s*=\s*(.*?)\s*>")
list_re = re.compile(r"<\s*((.*?))\s*>")
def find_repl_patterns(astr):
reps = named_re.findall(astr)
names = {}
for rep in reps:
name = rep[0].strip() or unique_key(names)
repl = rep[1].replace(r'\,', '@comma@')
thelist = conv(repl)
names[name] = thelist
return names
def find_and_remove_repl_patterns(astr):
names = find_repl_patterns(astr)
astr = re.subn(named_re, '', astr)[0]
return astr, names
item_re = re.compile(r"\A\\(?P<index>\d+)\Z")
def conv(astr):
b = astr.split(',')
l = [x.strip() for x in b]
for i in range(len(l)):
m = item_re.match(l[i])
if m:
j = int(m.group('index'))
l[i] = l[j]
return ','.join(l)
def unique_key(adict):
""" Obtain a unique key given a dictionary."""
allkeys = list(adict.keys())
done = False
n = 1
while not done:
newkey = '__l%s' % (n)
if newkey in allkeys:
n += 1
else:
done = True
return newkey
template_name_re = re.compile(r'\A\s*(\w[\w\d]*)\s*\Z')
def expand_sub(substr, names):
substr = substr.replace(r'\>', '@rightarrow@')
substr = substr.replace(r'\<', '@leftarrow@')
lnames = find_repl_patterns(substr)
substr = named_re.sub(r"<\1>", substr) # get rid of definition templates
def listrepl(mobj):
thelist = conv(mobj.group(1).replace(r'\,', '@comma@'))
if template_name_re.match(thelist):
return "<%s>" % (thelist)
name = None
for key in lnames.keys(): # see if list is already in dictionary
if lnames[key] == thelist:
name = key
if name is None: # this list is not in the dictionary yet
name = unique_key(lnames)
lnames[name] = thelist
return "<%s>" % name
substr = list_re.sub(listrepl, substr) # convert all lists to named templates
# newnames are constructed as needed
numsubs = None
base_rule = None
rules = {}
for r in template_re.findall(substr):
if r not in rules:
thelist = lnames.get(r, names.get(r, None))
if thelist is None:
raise ValueError('No replicates found for <%s>' % (r))
if r not in names and not thelist.startswith('_'):
names[r] = thelist
rule = [i.replace('@comma@', ',') for i in thelist.split(',')]
num = len(rule)
if numsubs is None:
numsubs = num
rules[r] = rule
base_rule = r
elif num == numsubs:
rules[r] = rule
else:
print("Mismatch in number of replacements (base <%s=%s>)"
" for <%s=%s>. Ignoring." %
(base_rule, ','.join(rules[base_rule]), r, thelist))
if not rules:
return substr
def namerepl(mobj):
name = mobj.group(1)
return rules.get(name, (k+1)*[name])[k]
newstr = ''
for k in range(numsubs):
newstr += template_re.sub(namerepl, substr) + '\n\n'
newstr = newstr.replace('@rightarrow@', '>')
newstr = newstr.replace('@leftarrow@', '<')
return newstr
def process_str(allstr):
newstr = allstr
writestr = ''
struct = parse_structure(newstr)
oldend = 0
names = {}
names.update(_special_names)
for sub in struct:
cleanedstr, defs = find_and_remove_repl_patterns(newstr[oldend:sub[0]])
writestr += cleanedstr
names.update(defs)
writestr += expand_sub(newstr[sub[0]:sub[1]], names)
oldend = sub[1]
writestr += newstr[oldend:]
return writestr
include_src_re = re.compile(r"(\n|\A)\s*include\s*['\"](?P<name>[\w\d./\\]+\.src)['\"]", re.I)
def resolve_includes(source):
d = os.path.dirname(source)
with open(source) as fid:
lines = []
for line in fid:
m = include_src_re.match(line)
if m:
fn = m.group('name')
if not os.path.isabs(fn):
fn = os.path.join(d, fn)
if os.path.isfile(fn):
lines.extend(resolve_includes(fn))
else:
lines.append(line)
else:
lines.append(line)
return lines
def process_file(source):
lines = resolve_includes(source)
return process_str(''.join(lines))
_special_names = find_repl_patterns('''
<_c=s,d,c,z>
<_t=real,double precision,complex,double complex>
<prefix=s,d,c,z>
<ftype=real,double precision,complex,double complex>
<ctype=float,double,complex_float,complex_double>
<ftypereal=real,double precision,\\0,\\1>
<ctypereal=float,double,\\0,\\1>
''')
def main():
try:
file = sys.argv[1]
except IndexError:
fid = sys.stdin
outfile = sys.stdout
else:
fid = open(file, 'r')
(base, ext) = os.path.splitext(file)
newname = base
outfile = open(newname, 'w')
allstr = fid.read()
writestr = process_str(allstr)
outfile.write(writestr)
if __name__ == "__main__":
main()
| 7,913 | Python | 29.206107 | 94 | 0.560091 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/__init__.pyi | from typing import Any
# TODO: remove when the full numpy namespace is defined
def __getattr__(name: str) -> Any: ...
| 119 | unknown | 22.999995 | 55 | 0.697479 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/ccompiler_opt.py | """Provides the `CCompilerOpt` class, used for handling the CPU/hardware
optimization, starting from parsing the command arguments, to managing the
relation between the CPU baseline and dispatch-able features,
also generating the required C headers and ending with compiling
the sources with proper compiler's flags.
`CCompilerOpt` doesn't provide runtime detection for the CPU features,
instead only focuses on the compiler side, but it creates abstract C headers
that can be used later for the final runtime dispatching process."""
import atexit
import inspect
import os
import pprint
import re
import subprocess
import textwrap
# These flags are used to compile any C++ source within Numpy.
# They are chosen to have very few runtime dependencies.
NPY_CXX_FLAGS = [
'-std=c++11', # Minimal standard version
'-D__STDC_VERSION__=0', # for compatibility with C headers
'-fno-exceptions', # no exception support
'-fno-rtti'] # no runtime type information
class _Config:
"""An abstract class holds all configurable attributes of `CCompilerOpt`,
these class attributes can be used to change the default behavior
of `CCompilerOpt` in order to fit other requirements.
Attributes
----------
conf_nocache : bool
Set True to disable memory and file cache.
Default is False.
conf_noopt : bool
Set True to forces the optimization to be disabled,
in this case `CCompilerOpt` tends to generate all
expected headers in order to 'not' break the build.
Default is False.
conf_cache_factors : list
Add extra factors to the primary caching factors. The caching factors
are utilized to determine if there are changes had happened that
requires to discard the cache and re-updating it. The primary factors
are the arguments of `CCompilerOpt` and `CCompiler`'s properties(type, flags, etc).
Default is list of two items, containing the time of last modification
of `ccompiler_opt` and value of attribute "conf_noopt"
conf_tmp_path : str,
The path of temporary directory. Default is auto-created
temporary directory via ``tempfile.mkdtemp()``.
conf_check_path : str
The path of testing files. Each added CPU feature must have a
**C** source file contains at least one intrinsic or instruction that
related to this feature, so it can be tested against the compiler.
Default is ``./distutils/checks``.
conf_target_groups : dict
Extra tokens that can be reached from dispatch-able sources through
the special mark ``@targets``. Default is an empty dictionary.
**Notes**:
- case-insensitive for tokens and group names
- sign '#' must stick in the begin of group name and only within ``@targets``
**Example**:
.. code-block:: console
$ "@targets #avx_group other_tokens" > group_inside.c
>>> CCompilerOpt.conf_target_groups["avx_group"] = \\
"$werror $maxopt avx2 avx512f avx512_skx"
>>> cco = CCompilerOpt(cc_instance)
>>> cco.try_dispatch(["group_inside.c"])
conf_c_prefix : str
The prefix of public C definitions. Default is ``"NPY_"``.
conf_c_prefix_ : str
The prefix of internal C definitions. Default is ``"NPY__"``.
conf_cc_flags : dict
Nested dictionaries defining several compiler flags
that linked to some major functions, the main key
represent the compiler name and sub-keys represent
flags names. Default is already covers all supported
**C** compilers.
Sub-keys explained as follows:
"native": str or None
used by argument option `native`, to detect the current
machine support via the compiler.
"werror": str or None
utilized to treat warning as errors during testing CPU features
against the compiler and also for target's policy `$werror`
via dispatch-able sources.
"maxopt": str or None
utilized for target's policy '$maxopt' and the value should
contains the maximum acceptable optimization by the compiler.
e.g. in gcc `'-O3'`
**Notes**:
* case-sensitive for compiler names and flags
* use space to separate multiple flags
* any flag will tested against the compiler and it will skipped
if it's not applicable.
conf_min_features : dict
A dictionary defines the used CPU features for
argument option `'min'`, the key represent the CPU architecture
name e.g. `'x86'`. Default values provide the best effort
on wide range of users platforms.
**Note**: case-sensitive for architecture names.
conf_features : dict
Nested dictionaries used for identifying the CPU features.
the primary key is represented as a feature name or group name
that gathers several features. Default values covers all
supported features but without the major options like "flags",
these undefined options handle it by method `conf_features_partial()`.
Default value is covers almost all CPU features for *X86*, *IBM/Power64*
and *ARM 7/8*.
Sub-keys explained as follows:
"implies" : str or list, optional,
List of CPU feature names to be implied by it,
the feature name must be defined within `conf_features`.
Default is None.
"flags": str or list, optional
List of compiler flags. Default is None.
"detect": str or list, optional
List of CPU feature names that required to be detected
in runtime. By default, its the feature name or features
in "group" if its specified.
"implies_detect": bool, optional
If True, all "detect" of implied features will be combined.
Default is True. see `feature_detect()`.
"group": str or list, optional
Same as "implies" but doesn't require the feature name to be
defined within `conf_features`.
"interest": int, required
a key for sorting CPU features
"headers": str or list, optional
intrinsics C header file
"disable": str, optional
force disable feature, the string value should contains the
reason of disabling.
"autovec": bool or None, optional
True or False to declare that CPU feature can be auto-vectorized
by the compiler.
By default(None), treated as True if the feature contains at
least one applicable flag. see `feature_can_autovec()`
"extra_checks": str or list, optional
Extra test case names for the CPU feature that need to be tested
against the compiler.
Each test case must have a C file named ``extra_xxxx.c``, where
``xxxx`` is the case name in lower case, under 'conf_check_path'.
It should contain at least one intrinsic or function related to the test case.
If the compiler able to successfully compile the C file then `CCompilerOpt`
will add a C ``#define`` for it into the main dispatch header, e.g.
``#define {conf_c_prefix}_XXXX`` where ``XXXX`` is the case name in upper case.
**NOTES**:
* space can be used as separator with options that supports "str or list"
* case-sensitive for all values and feature name must be in upper-case.
* if flags aren't applicable, its will skipped rather than disable the
CPU feature
* the CPU feature will disabled if the compiler fail to compile
the test file
"""
conf_nocache = False
conf_noopt = False
conf_cache_factors = None
conf_tmp_path = None
conf_check_path = os.path.join(
os.path.dirname(os.path.realpath(__file__)), "checks"
)
conf_target_groups = {}
conf_c_prefix = 'NPY_'
conf_c_prefix_ = 'NPY__'
conf_cc_flags = dict(
gcc = dict(
# native should always fail on arm and ppc64,
# native usually works only with x86
native = '-march=native',
opt = '-O3',
werror = '-Werror',
),
clang = dict(
native = '-march=native',
opt = "-O3",
# One of the following flags needs to be applicable for Clang to
# guarantee the sanity of the testing process, however in certain
# cases `-Werror` gets skipped during the availability test due to
# "unused arguments" warnings.
# see https://github.com/numpy/numpy/issues/19624
werror = '-Werror=switch -Werror',
),
icc = dict(
native = '-xHost',
opt = '-O3',
werror = '-Werror',
),
iccw = dict(
native = '/QxHost',
opt = '/O3',
werror = '/Werror',
),
msvc = dict(
native = None,
opt = '/O2',
werror = '/WX',
)
)
conf_min_features = dict(
x86 = "SSE SSE2",
x64 = "SSE SSE2 SSE3",
ppc64 = '', # play it safe
ppc64le = "VSX VSX2",
s390x = '',
armhf = '', # play it safe
aarch64 = "NEON NEON_FP16 NEON_VFPV4 ASIMD"
)
conf_features = dict(
# X86
SSE = dict(
interest=1, headers="xmmintrin.h",
# enabling SSE without SSE2 is useless also
# it's non-optional for x86_64
implies="SSE2"
),
SSE2 = dict(interest=2, implies="SSE", headers="emmintrin.h"),
SSE3 = dict(interest=3, implies="SSE2", headers="pmmintrin.h"),
SSSE3 = dict(interest=4, implies="SSE3", headers="tmmintrin.h"),
SSE41 = dict(interest=5, implies="SSSE3", headers="smmintrin.h"),
POPCNT = dict(interest=6, implies="SSE41", headers="popcntintrin.h"),
SSE42 = dict(interest=7, implies="POPCNT"),
AVX = dict(
interest=8, implies="SSE42", headers="immintrin.h",
implies_detect=False
),
XOP = dict(interest=9, implies="AVX", headers="x86intrin.h"),
FMA4 = dict(interest=10, implies="AVX", headers="x86intrin.h"),
F16C = dict(interest=11, implies="AVX"),
FMA3 = dict(interest=12, implies="F16C"),
AVX2 = dict(interest=13, implies="F16C"),
AVX512F = dict(
interest=20, implies="FMA3 AVX2", implies_detect=False,
extra_checks="AVX512F_REDUCE"
),
AVX512CD = dict(interest=21, implies="AVX512F"),
AVX512_KNL = dict(
interest=40, implies="AVX512CD", group="AVX512ER AVX512PF",
detect="AVX512_KNL", implies_detect=False
),
AVX512_KNM = dict(
interest=41, implies="AVX512_KNL",
group="AVX5124FMAPS AVX5124VNNIW AVX512VPOPCNTDQ",
detect="AVX512_KNM", implies_detect=False
),
AVX512_SKX = dict(
interest=42, implies="AVX512CD", group="AVX512VL AVX512BW AVX512DQ",
detect="AVX512_SKX", implies_detect=False,
extra_checks="AVX512BW_MASK AVX512DQ_MASK"
),
AVX512_CLX = dict(
interest=43, implies="AVX512_SKX", group="AVX512VNNI",
detect="AVX512_CLX"
),
AVX512_CNL = dict(
interest=44, implies="AVX512_SKX", group="AVX512IFMA AVX512VBMI",
detect="AVX512_CNL", implies_detect=False
),
AVX512_ICL = dict(
interest=45, implies="AVX512_CLX AVX512_CNL",
group="AVX512VBMI2 AVX512BITALG AVX512VPOPCNTDQ",
detect="AVX512_ICL", implies_detect=False
),
# IBM/Power
## Power7/ISA 2.06
VSX = dict(interest=1, headers="altivec.h", extra_checks="VSX_ASM"),
## Power8/ISA 2.07
VSX2 = dict(interest=2, implies="VSX", implies_detect=False),
## Power9/ISA 3.00
VSX3 = dict(interest=3, implies="VSX2", implies_detect=False),
## Power10/ISA 3.1
VSX4 = dict(interest=4, implies="VSX3", implies_detect=False,
extra_checks="VSX4_MMA"),
# IBM/Z
## VX(z13) support
VX = dict(interest=1, headers="vecintrin.h"),
## Vector-Enhancements Facility
VXE = dict(interest=2, implies="VX", implies_detect=False),
## Vector-Enhancements Facility 2
VXE2 = dict(interest=3, implies="VXE", implies_detect=False),
# ARM
NEON = dict(interest=1, headers="arm_neon.h"),
NEON_FP16 = dict(interest=2, implies="NEON"),
## FMA
NEON_VFPV4 = dict(interest=3, implies="NEON_FP16"),
## Advanced SIMD
ASIMD = dict(interest=4, implies="NEON_FP16 NEON_VFPV4", implies_detect=False),
## ARMv8.2 half-precision & vector arithm
ASIMDHP = dict(interest=5, implies="ASIMD"),
## ARMv8.2 dot product
ASIMDDP = dict(interest=6, implies="ASIMD"),
## ARMv8.2 Single & half-precision Multiply
ASIMDFHM = dict(interest=7, implies="ASIMDHP"),
)
def conf_features_partial(self):
"""Return a dictionary of supported CPU features by the platform,
and accumulate the rest of undefined options in `conf_features`,
the returned dict has same rules and notes in
class attribute `conf_features`, also its override
any options that been set in 'conf_features'.
"""
if self.cc_noopt:
# optimization is disabled
return {}
on_x86 = self.cc_on_x86 or self.cc_on_x64
is_unix = self.cc_is_gcc or self.cc_is_clang
if on_x86 and is_unix: return dict(
SSE = dict(flags="-msse"),
SSE2 = dict(flags="-msse2"),
SSE3 = dict(flags="-msse3"),
SSSE3 = dict(flags="-mssse3"),
SSE41 = dict(flags="-msse4.1"),
POPCNT = dict(flags="-mpopcnt"),
SSE42 = dict(flags="-msse4.2"),
AVX = dict(flags="-mavx"),
F16C = dict(flags="-mf16c"),
XOP = dict(flags="-mxop"),
FMA4 = dict(flags="-mfma4"),
FMA3 = dict(flags="-mfma"),
AVX2 = dict(flags="-mavx2"),
AVX512F = dict(flags="-mavx512f -mno-mmx"),
AVX512CD = dict(flags="-mavx512cd"),
AVX512_KNL = dict(flags="-mavx512er -mavx512pf"),
AVX512_KNM = dict(
flags="-mavx5124fmaps -mavx5124vnniw -mavx512vpopcntdq"
),
AVX512_SKX = dict(flags="-mavx512vl -mavx512bw -mavx512dq"),
AVX512_CLX = dict(flags="-mavx512vnni"),
AVX512_CNL = dict(flags="-mavx512ifma -mavx512vbmi"),
AVX512_ICL = dict(
flags="-mavx512vbmi2 -mavx512bitalg -mavx512vpopcntdq"
)
)
if on_x86 and self.cc_is_icc: return dict(
SSE = dict(flags="-msse"),
SSE2 = dict(flags="-msse2"),
SSE3 = dict(flags="-msse3"),
SSSE3 = dict(flags="-mssse3"),
SSE41 = dict(flags="-msse4.1"),
POPCNT = {},
SSE42 = dict(flags="-msse4.2"),
AVX = dict(flags="-mavx"),
F16C = {},
XOP = dict(disable="Intel Compiler doesn't support it"),
FMA4 = dict(disable="Intel Compiler doesn't support it"),
# Intel Compiler doesn't support AVX2 or FMA3 independently
FMA3 = dict(
implies="F16C AVX2", flags="-march=core-avx2"
),
AVX2 = dict(implies="FMA3", flags="-march=core-avx2"),
# Intel Compiler doesn't support AVX512F or AVX512CD independently
AVX512F = dict(
implies="AVX2 AVX512CD", flags="-march=common-avx512"
),
AVX512CD = dict(
implies="AVX2 AVX512F", flags="-march=common-avx512"
),
AVX512_KNL = dict(flags="-xKNL"),
AVX512_KNM = dict(flags="-xKNM"),
AVX512_SKX = dict(flags="-xSKYLAKE-AVX512"),
AVX512_CLX = dict(flags="-xCASCADELAKE"),
AVX512_CNL = dict(flags="-xCANNONLAKE"),
AVX512_ICL = dict(flags="-xICELAKE-CLIENT"),
)
if on_x86 and self.cc_is_iccw: return dict(
SSE = dict(flags="/arch:SSE"),
SSE2 = dict(flags="/arch:SSE2"),
SSE3 = dict(flags="/arch:SSE3"),
SSSE3 = dict(flags="/arch:SSSE3"),
SSE41 = dict(flags="/arch:SSE4.1"),
POPCNT = {},
SSE42 = dict(flags="/arch:SSE4.2"),
AVX = dict(flags="/arch:AVX"),
F16C = {},
XOP = dict(disable="Intel Compiler doesn't support it"),
FMA4 = dict(disable="Intel Compiler doesn't support it"),
# Intel Compiler doesn't support FMA3 or AVX2 independently
FMA3 = dict(
implies="F16C AVX2", flags="/arch:CORE-AVX2"
),
AVX2 = dict(
implies="FMA3", flags="/arch:CORE-AVX2"
),
# Intel Compiler doesn't support AVX512F or AVX512CD independently
AVX512F = dict(
implies="AVX2 AVX512CD", flags="/Qx:COMMON-AVX512"
),
AVX512CD = dict(
implies="AVX2 AVX512F", flags="/Qx:COMMON-AVX512"
),
AVX512_KNL = dict(flags="/Qx:KNL"),
AVX512_KNM = dict(flags="/Qx:KNM"),
AVX512_SKX = dict(flags="/Qx:SKYLAKE-AVX512"),
AVX512_CLX = dict(flags="/Qx:CASCADELAKE"),
AVX512_CNL = dict(flags="/Qx:CANNONLAKE"),
AVX512_ICL = dict(flags="/Qx:ICELAKE-CLIENT")
)
if on_x86 and self.cc_is_msvc: return dict(
SSE = dict(flags="/arch:SSE") if self.cc_on_x86 else {},
SSE2 = dict(flags="/arch:SSE2") if self.cc_on_x86 else {},
SSE3 = {},
SSSE3 = {},
SSE41 = {},
POPCNT = dict(headers="nmmintrin.h"),
SSE42 = {},
AVX = dict(flags="/arch:AVX"),
F16C = {},
XOP = dict(headers="ammintrin.h"),
FMA4 = dict(headers="ammintrin.h"),
# MSVC doesn't support FMA3 or AVX2 independently
FMA3 = dict(
implies="F16C AVX2", flags="/arch:AVX2"
),
AVX2 = dict(
implies="F16C FMA3", flags="/arch:AVX2"
),
# MSVC doesn't support AVX512F or AVX512CD independently,
# always generate instructions belong to (VL/VW/DQ)
AVX512F = dict(
implies="AVX2 AVX512CD AVX512_SKX", flags="/arch:AVX512"
),
AVX512CD = dict(
implies="AVX512F AVX512_SKX", flags="/arch:AVX512"
),
AVX512_KNL = dict(
disable="MSVC compiler doesn't support it"
),
AVX512_KNM = dict(
disable="MSVC compiler doesn't support it"
),
AVX512_SKX = dict(flags="/arch:AVX512"),
AVX512_CLX = {},
AVX512_CNL = {},
AVX512_ICL = {}
)
on_power = self.cc_on_ppc64le or self.cc_on_ppc64
if on_power:
partial = dict(
VSX = dict(
implies=("VSX2" if self.cc_on_ppc64le else ""),
flags="-mvsx"
),
VSX2 = dict(
flags="-mcpu=power8", implies_detect=False
),
VSX3 = dict(
flags="-mcpu=power9 -mtune=power9", implies_detect=False
),
VSX4 = dict(
flags="-mcpu=power10 -mtune=power10", implies_detect=False
)
)
if self.cc_is_clang:
partial["VSX"]["flags"] = "-maltivec -mvsx"
partial["VSX2"]["flags"] = "-mpower8-vector"
partial["VSX3"]["flags"] = "-mpower9-vector"
partial["VSX4"]["flags"] = "-mpower10-vector"
return partial
on_zarch = self.cc_on_s390x
if on_zarch:
partial = dict(
VX = dict(
flags="-march=arch11 -mzvector"
),
VXE = dict(
flags="-march=arch12", implies_detect=False
),
VXE2 = dict(
flags="-march=arch13", implies_detect=False
)
)
return partial
if self.cc_on_aarch64 and is_unix: return dict(
NEON = dict(
implies="NEON_FP16 NEON_VFPV4 ASIMD", autovec=True
),
NEON_FP16 = dict(
implies="NEON NEON_VFPV4 ASIMD", autovec=True
),
NEON_VFPV4 = dict(
implies="NEON NEON_FP16 ASIMD", autovec=True
),
ASIMD = dict(
implies="NEON NEON_FP16 NEON_VFPV4", autovec=True
),
ASIMDHP = dict(
flags="-march=armv8.2-a+fp16"
),
ASIMDDP = dict(
flags="-march=armv8.2-a+dotprod"
),
ASIMDFHM = dict(
flags="-march=armv8.2-a+fp16fml"
),
)
if self.cc_on_armhf and is_unix: return dict(
NEON = dict(
flags="-mfpu=neon"
),
NEON_FP16 = dict(
flags="-mfpu=neon-fp16 -mfp16-format=ieee"
),
NEON_VFPV4 = dict(
flags="-mfpu=neon-vfpv4",
),
ASIMD = dict(
flags="-mfpu=neon-fp-armv8 -march=armv8-a+simd",
),
ASIMDHP = dict(
flags="-march=armv8.2-a+fp16"
),
ASIMDDP = dict(
flags="-march=armv8.2-a+dotprod",
),
ASIMDFHM = dict(
flags="-march=armv8.2-a+fp16fml"
)
)
# TODO: ARM MSVC
return {}
def __init__(self):
if self.conf_tmp_path is None:
import shutil
import tempfile
tmp = tempfile.mkdtemp()
def rm_temp():
try:
shutil.rmtree(tmp)
except OSError:
pass
atexit.register(rm_temp)
self.conf_tmp_path = tmp
if self.conf_cache_factors is None:
self.conf_cache_factors = [
os.path.getmtime(__file__),
self.conf_nocache
]
class _Distutils:
"""A helper class that provides a collection of fundamental methods
implemented in a top of Python and NumPy Distutils.
The idea behind this class is to gather all methods that it may
need to override in case of reuse 'CCompilerOpt' in environment
different than of what NumPy has.
Parameters
----------
ccompiler : `CCompiler`
The generate instance that returned from `distutils.ccompiler.new_compiler()`.
"""
def __init__(self, ccompiler):
self._ccompiler = ccompiler
def dist_compile(self, sources, flags, ccompiler=None, **kwargs):
"""Wrap CCompiler.compile()"""
assert(isinstance(sources, list))
assert(isinstance(flags, list))
flags = kwargs.pop("extra_postargs", []) + flags
if not ccompiler:
ccompiler = self._ccompiler
return ccompiler.compile(sources, extra_postargs=flags, **kwargs)
def dist_test(self, source, flags, macros=[]):
"""Return True if 'CCompiler.compile()' able to compile
a source file with certain flags.
"""
assert(isinstance(source, str))
from distutils.errors import CompileError
cc = self._ccompiler;
bk_spawn = getattr(cc, 'spawn', None)
if bk_spawn:
cc_type = getattr(self._ccompiler, "compiler_type", "")
if cc_type in ("msvc",):
setattr(cc, 'spawn', self._dist_test_spawn_paths)
else:
setattr(cc, 'spawn', self._dist_test_spawn)
test = False
try:
self.dist_compile(
[source], flags, macros=macros, output_dir=self.conf_tmp_path
)
test = True
except CompileError as e:
self.dist_log(str(e), stderr=True)
if bk_spawn:
setattr(cc, 'spawn', bk_spawn)
return test
def dist_info(self):
"""
Return a tuple containing info about (platform, compiler, extra_args),
required by the abstract class '_CCompiler' for discovering the
platform environment. This is also used as a cache factor in order
to detect any changes happening from outside.
"""
if hasattr(self, "_dist_info"):
return self._dist_info
cc_type = getattr(self._ccompiler, "compiler_type", '')
if cc_type in ("intelem", "intelemw"):
platform = "x86_64"
elif cc_type in ("intel", "intelw", "intele"):
platform = "x86"
else:
from distutils.util import get_platform
platform = get_platform()
cc_info = getattr(self._ccompiler, "compiler", getattr(self._ccompiler, "compiler_so", ''))
if not cc_type or cc_type == "unix":
if hasattr(cc_info, "__iter__"):
compiler = cc_info[0]
else:
compiler = str(cc_info)
else:
compiler = cc_type
if hasattr(cc_info, "__iter__") and len(cc_info) > 1:
extra_args = ' '.join(cc_info[1:])
else:
extra_args = os.environ.get("CFLAGS", "")
extra_args += os.environ.get("CPPFLAGS", "")
self._dist_info = (platform, compiler, extra_args)
return self._dist_info
@staticmethod
def dist_error(*args):
"""Raise a compiler error"""
from distutils.errors import CompileError
raise CompileError(_Distutils._dist_str(*args))
@staticmethod
def dist_fatal(*args):
"""Raise a distutils error"""
from distutils.errors import DistutilsError
raise DistutilsError(_Distutils._dist_str(*args))
@staticmethod
def dist_log(*args, stderr=False):
"""Print a console message"""
from numpy.distutils import log
out = _Distutils._dist_str(*args)
if stderr:
log.warn(out)
else:
log.info(out)
@staticmethod
def dist_load_module(name, path):
"""Load a module from file, required by the abstract class '_Cache'."""
from .misc_util import exec_mod_from_location
try:
return exec_mod_from_location(name, path)
except Exception as e:
_Distutils.dist_log(e, stderr=True)
return None
@staticmethod
def _dist_str(*args):
"""Return a string to print by log and errors."""
def to_str(arg):
if not isinstance(arg, str) and hasattr(arg, '__iter__'):
ret = []
for a in arg:
ret.append(to_str(a))
return '('+ ' '.join(ret) + ')'
return str(arg)
stack = inspect.stack()[2]
start = "CCompilerOpt.%s[%d] : " % (stack.function, stack.lineno)
out = ' '.join([
to_str(a)
for a in (*args,)
])
return start + out
def _dist_test_spawn_paths(self, cmd, display=None):
"""
Fix msvc SDK ENV path same as distutils do
without it we get c1: fatal error C1356: unable to find mspdbcore.dll
"""
if not hasattr(self._ccompiler, "_paths"):
self._dist_test_spawn(cmd)
return
old_path = os.getenv("path")
try:
os.environ["path"] = self._ccompiler._paths
self._dist_test_spawn(cmd)
finally:
os.environ["path"] = old_path
_dist_warn_regex = re.compile(
# intel and msvc compilers don't raise
# fatal errors when flags are wrong or unsupported
".*("
"warning D9002|" # msvc, it should be work with any language.
"invalid argument for option" # intel
").*"
)
@staticmethod
def _dist_test_spawn(cmd, display=None):
try:
o = subprocess.check_output(cmd, stderr=subprocess.STDOUT,
universal_newlines=True)
if o and re.match(_Distutils._dist_warn_regex, o):
_Distutils.dist_error(
"Flags in command", cmd ,"aren't supported by the compiler"
", output -> \n%s" % o
)
except subprocess.CalledProcessError as exc:
o = exc.output
s = exc.returncode
except OSError as e:
o = e
s = 127
else:
return None
_Distutils.dist_error(
"Command", cmd, "failed with exit status %d output -> \n%s" % (
s, o
))
_share_cache = {}
class _Cache:
"""An abstract class handles caching functionality, provides two
levels of caching, in-memory by share instances attributes among
each other and by store attributes into files.
**Note**:
any attributes that start with ``_`` or ``conf_`` will be ignored.
Parameters
----------
cache_path : str or None
The path of cache file, if None then cache in file will disabled.
*factors :
The caching factors that need to utilize next to `conf_cache_factors`.
Attributes
----------
cache_private : set
Hold the attributes that need be skipped from "in-memory cache".
cache_infile : bool
Utilized during initializing this class, to determine if the cache was able
to loaded from the specified cache path in 'cache_path'.
"""
# skip attributes from cache
_cache_ignore = re.compile("^(_|conf_)")
def __init__(self, cache_path=None, *factors):
self.cache_me = {}
self.cache_private = set()
self.cache_infile = False
self._cache_path = None
if self.conf_nocache:
self.dist_log("cache is disabled by `Config`")
return
self._cache_hash = self.cache_hash(*factors, *self.conf_cache_factors)
self._cache_path = cache_path
if cache_path:
if os.path.exists(cache_path):
self.dist_log("load cache from file ->", cache_path)
cache_mod = self.dist_load_module("cache", cache_path)
if not cache_mod:
self.dist_log(
"unable to load the cache file as a module",
stderr=True
)
elif not hasattr(cache_mod, "hash") or \
not hasattr(cache_mod, "data"):
self.dist_log("invalid cache file", stderr=True)
elif self._cache_hash == cache_mod.hash:
self.dist_log("hit the file cache")
for attr, val in cache_mod.data.items():
setattr(self, attr, val)
self.cache_infile = True
else:
self.dist_log("miss the file cache")
if not self.cache_infile:
other_cache = _share_cache.get(self._cache_hash)
if other_cache:
self.dist_log("hit the memory cache")
for attr, val in other_cache.__dict__.items():
if attr in other_cache.cache_private or \
re.match(self._cache_ignore, attr):
continue
setattr(self, attr, val)
_share_cache[self._cache_hash] = self
atexit.register(self.cache_flush)
def __del__(self):
for h, o in _share_cache.items():
if o == self:
_share_cache.pop(h)
break
def cache_flush(self):
"""
Force update the cache.
"""
if not self._cache_path:
return
# TODO: don't write if the cache doesn't change
self.dist_log("write cache to path ->", self._cache_path)
cdict = self.__dict__.copy()
for attr in self.__dict__.keys():
if re.match(self._cache_ignore, attr):
cdict.pop(attr)
d = os.path.dirname(self._cache_path)
if not os.path.exists(d):
os.makedirs(d)
repr_dict = pprint.pformat(cdict, compact=True)
with open(self._cache_path, "w") as f:
f.write(textwrap.dedent("""\
# AUTOGENERATED DON'T EDIT
# Please make changes to the code generator \
(distutils/ccompiler_opt.py)
hash = {}
data = \\
""").format(self._cache_hash))
f.write(repr_dict)
def cache_hash(self, *factors):
# is there a built-in non-crypto hash?
# sdbm
chash = 0
for f in factors:
for char in str(f):
chash = ord(char) + (chash << 6) + (chash << 16) - chash
chash &= 0xFFFFFFFF
return chash
@staticmethod
def me(cb):
"""
A static method that can be treated as a decorator to
dynamically cache certain methods.
"""
def cache_wrap_me(self, *args, **kwargs):
# good for normal args
cache_key = str((
cb.__name__, *args, *kwargs.keys(), *kwargs.values()
))
if cache_key in self.cache_me:
return self.cache_me[cache_key]
ccb = cb(self, *args, **kwargs)
self.cache_me[cache_key] = ccb
return ccb
return cache_wrap_me
class _CCompiler:
"""A helper class for `CCompilerOpt` containing all utilities that
related to the fundamental compiler's functions.
Attributes
----------
cc_on_x86 : bool
True when the target architecture is 32-bit x86
cc_on_x64 : bool
True when the target architecture is 64-bit x86
cc_on_ppc64 : bool
True when the target architecture is 64-bit big-endian powerpc
cc_on_ppc64le : bool
True when the target architecture is 64-bit litle-endian powerpc
cc_on_s390x : bool
True when the target architecture is IBM/ZARCH on linux
cc_on_armhf : bool
True when the target architecture is 32-bit ARMv7+
cc_on_aarch64 : bool
True when the target architecture is 64-bit Armv8-a+
cc_on_noarch : bool
True when the target architecture is unknown or not supported
cc_is_gcc : bool
True if the compiler is GNU or
if the compiler is unknown
cc_is_clang : bool
True if the compiler is Clang
cc_is_icc : bool
True if the compiler is Intel compiler (unix like)
cc_is_iccw : bool
True if the compiler is Intel compiler (msvc like)
cc_is_nocc : bool
True if the compiler isn't supported directly,
Note: that cause a fail-back to gcc
cc_has_debug : bool
True if the compiler has debug flags
cc_has_native : bool
True if the compiler has native flags
cc_noopt : bool
True if the compiler has definition 'DISABLE_OPT*',
or 'cc_on_noarch' is True
cc_march : str
The target architecture name, or "unknown" if
the architecture isn't supported
cc_name : str
The compiler name, or "unknown" if the compiler isn't supported
cc_flags : dict
Dictionary containing the initialized flags of `_Config.conf_cc_flags`
"""
def __init__(self):
if hasattr(self, "cc_is_cached"):
return
# attr regex compiler-expression
detect_arch = (
("cc_on_x64", ".*(x|x86_|amd)64.*", ""),
("cc_on_x86", ".*(win32|x86|i386|i686).*", ""),
("cc_on_ppc64le", ".*(powerpc|ppc)64(el|le).*", ""),
("cc_on_ppc64", ".*(powerpc|ppc)64.*", ""),
("cc_on_aarch64", ".*(aarch64|arm64).*", ""),
("cc_on_armhf", ".*arm.*", "defined(__ARM_ARCH_7__) || "
"defined(__ARM_ARCH_7A__)"),
("cc_on_s390x", ".*s390x.*", ""),
# undefined platform
("cc_on_noarch", "", ""),
)
detect_compiler = (
("cc_is_gcc", r".*(gcc|gnu\-g).*", ""),
("cc_is_clang", ".*clang.*", ""),
# intel msvc like
("cc_is_iccw", ".*(intelw|intelemw|iccw).*", ""),
("cc_is_icc", ".*(intel|icc).*", ""), # intel unix like
("cc_is_msvc", ".*msvc.*", ""),
# undefined compiler will be treat it as gcc
("cc_is_nocc", "", ""),
)
detect_args = (
("cc_has_debug", ".*(O0|Od|ggdb|coverage|debug:full).*", ""),
("cc_has_native", ".*(-march=native|-xHost|/QxHost).*", ""),
# in case if the class run with -DNPY_DISABLE_OPTIMIZATION
("cc_noopt", ".*DISABLE_OPT.*", ""),
)
dist_info = self.dist_info()
platform, compiler_info, extra_args = dist_info
# set False to all attrs
for section in (detect_arch, detect_compiler, detect_args):
for attr, rgex, cexpr in section:
setattr(self, attr, False)
for detect, searchin in ((detect_arch, platform), (detect_compiler, compiler_info)):
for attr, rgex, cexpr in detect:
if rgex and not re.match(rgex, searchin, re.IGNORECASE):
continue
if cexpr and not self.cc_test_cexpr(cexpr):
continue
setattr(self, attr, True)
break
for attr, rgex, cexpr in detect_args:
if rgex and not re.match(rgex, extra_args, re.IGNORECASE):
continue
if cexpr and not self.cc_test_cexpr(cexpr):
continue
setattr(self, attr, True)
if self.cc_on_noarch:
self.dist_log(
"unable to detect CPU architecture which lead to disable the optimization. "
f"check dist_info:<<\n{dist_info}\n>>",
stderr=True
)
self.cc_noopt = True
if self.conf_noopt:
self.dist_log("Optimization is disabled by the Config", stderr=True)
self.cc_noopt = True
if self.cc_is_nocc:
"""
mingw can be treated as a gcc, and also xlc even if it based on clang,
but still has the same gcc optimization flags.
"""
self.dist_log(
"unable to detect compiler type which leads to treating it as GCC. "
"this is a normal behavior if you're using gcc-like compiler such as MinGW or IBM/XLC."
f"check dist_info:<<\n{dist_info}\n>>",
stderr=True
)
self.cc_is_gcc = True
self.cc_march = "unknown"
for arch in ("x86", "x64", "ppc64", "ppc64le",
"armhf", "aarch64", "s390x"):
if getattr(self, "cc_on_" + arch):
self.cc_march = arch
break
self.cc_name = "unknown"
for name in ("gcc", "clang", "iccw", "icc", "msvc"):
if getattr(self, "cc_is_" + name):
self.cc_name = name
break
self.cc_flags = {}
compiler_flags = self.conf_cc_flags.get(self.cc_name)
if compiler_flags is None:
self.dist_fatal(
"undefined flag for compiler '%s', "
"leave an empty dict instead" % self.cc_name
)
for name, flags in compiler_flags.items():
self.cc_flags[name] = nflags = []
if flags:
assert(isinstance(flags, str))
flags = flags.split()
for f in flags:
if self.cc_test_flags([f]):
nflags.append(f)
self.cc_is_cached = True
@_Cache.me
def cc_test_flags(self, flags):
"""
Returns True if the compiler supports 'flags'.
"""
assert(isinstance(flags, list))
self.dist_log("testing flags", flags)
test_path = os.path.join(self.conf_check_path, "test_flags.c")
test = self.dist_test(test_path, flags)
if not test:
self.dist_log("testing failed", stderr=True)
return test
@_Cache.me
def cc_test_cexpr(self, cexpr, flags=[]):
"""
Same as the above but supports compile-time expressions.
"""
self.dist_log("testing compiler expression", cexpr)
test_path = os.path.join(self.conf_tmp_path, "npy_dist_test_cexpr.c")
with open(test_path, "w") as fd:
fd.write(textwrap.dedent(f"""\
#if !({cexpr})
#error "unsupported expression"
#endif
int dummy;
"""))
test = self.dist_test(test_path, flags)
if not test:
self.dist_log("testing failed", stderr=True)
return test
def cc_normalize_flags(self, flags):
"""
Remove the conflicts that caused due gathering implied features flags.
Parameters
----------
'flags' list, compiler flags
flags should be sorted from the lowest to the highest interest.
Returns
-------
list, filtered from any conflicts.
Examples
--------
>>> self.cc_normalize_flags(['-march=armv8.2-a+fp16', '-march=armv8.2-a+dotprod'])
['armv8.2-a+fp16+dotprod']
>>> self.cc_normalize_flags(
['-msse', '-msse2', '-msse3', '-mssse3', '-msse4.1', '-msse4.2', '-mavx', '-march=core-avx2']
)
['-march=core-avx2']
"""
assert(isinstance(flags, list))
if self.cc_is_gcc or self.cc_is_clang or self.cc_is_icc:
return self._cc_normalize_unix(flags)
if self.cc_is_msvc or self.cc_is_iccw:
return self._cc_normalize_win(flags)
return flags
_cc_normalize_unix_mrgx = re.compile(
# 1- to check the highest of
r"^(-mcpu=|-march=|-x[A-Z0-9\-])"
)
_cc_normalize_unix_frgx = re.compile(
# 2- to remove any flags starts with
# -march, -mcpu, -x(INTEL) and '-m' without '='
r"^(?!(-mcpu=|-march=|-x[A-Z0-9\-]|-m[a-z0-9\-\.]*.$))|"
# exclude:
r"(?:-mzvector)"
)
_cc_normalize_unix_krgx = re.compile(
# 3- keep only the highest of
r"^(-mfpu|-mtune)"
)
_cc_normalize_arch_ver = re.compile(
r"[0-9.]"
)
def _cc_normalize_unix(self, flags):
def ver_flags(f):
# arch ver subflag
# -march=armv8.2-a+fp16fml
tokens = f.split('+')
ver = float('0' + ''.join(
re.findall(self._cc_normalize_arch_ver, tokens[0])
))
return ver, tokens[0], tokens[1:]
if len(flags) <= 1:
return flags
# get the highest matched flag
for i, cur_flag in enumerate(reversed(flags)):
if not re.match(self._cc_normalize_unix_mrgx, cur_flag):
continue
lower_flags = flags[:-(i+1)]
upper_flags = flags[-i:]
filterd = list(filter(
self._cc_normalize_unix_frgx.search, lower_flags
))
# gather subflags
ver, arch, subflags = ver_flags(cur_flag)
if ver > 0 and len(subflags) > 0:
for xflag in lower_flags:
xver, _, xsubflags = ver_flags(xflag)
if ver == xver:
subflags = xsubflags + subflags
cur_flag = arch + '+' + '+'.join(subflags)
flags = filterd + [cur_flag]
if i > 0:
flags += upper_flags
break
# to remove overridable flags
final_flags = []
matched = set()
for f in reversed(flags):
match = re.match(self._cc_normalize_unix_krgx, f)
if not match:
pass
elif match[0] in matched:
continue
else:
matched.add(match[0])
final_flags.insert(0, f)
return final_flags
_cc_normalize_win_frgx = re.compile(
r"^(?!(/arch\:|/Qx\:))"
)
_cc_normalize_win_mrgx = re.compile(
r"^(/arch|/Qx:)"
)
def _cc_normalize_win(self, flags):
for i, f in enumerate(reversed(flags)):
if not re.match(self._cc_normalize_win_mrgx, f):
continue
i += 1
return list(filter(
self._cc_normalize_win_frgx.search, flags[:-i]
)) + flags[-i:]
return flags
class _Feature:
"""A helper class for `CCompilerOpt` that managing CPU features.
Attributes
----------
feature_supported : dict
Dictionary containing all CPU features that supported
by the platform, according to the specified values in attribute
`_Config.conf_features` and `_Config.conf_features_partial()`
feature_min : set
The minimum support of CPU features, according to
the specified values in attribute `_Config.conf_min_features`.
"""
def __init__(self):
if hasattr(self, "feature_is_cached"):
return
self.feature_supported = pfeatures = self.conf_features_partial()
for feature_name in list(pfeatures.keys()):
feature = pfeatures[feature_name]
cfeature = self.conf_features[feature_name]
feature.update({
k:v for k,v in cfeature.items() if k not in feature
})
disabled = feature.get("disable")
if disabled is not None:
pfeatures.pop(feature_name)
self.dist_log(
"feature '%s' is disabled," % feature_name,
disabled, stderr=True
)
continue
# list is used internally for these options
for option in (
"implies", "group", "detect", "headers", "flags", "extra_checks"
) :
oval = feature.get(option)
if isinstance(oval, str):
feature[option] = oval.split()
self.feature_min = set()
min_f = self.conf_min_features.get(self.cc_march, "")
for F in min_f.upper().split():
if F in self.feature_supported:
self.feature_min.add(F)
self.feature_is_cached = True
def feature_names(self, names=None, force_flags=None, macros=[]):
"""
Returns a set of CPU feature names that supported by platform and the **C** compiler.
Parameters
----------
names : sequence or None, optional
Specify certain CPU features to test it against the **C** compiler.
if None(default), it will test all current supported features.
**Note**: feature names must be in upper-case.
force_flags : list or None, optional
If None(default), default compiler flags for every CPU feature will
be used during the test.
macros : list of tuples, optional
A list of C macro definitions.
"""
assert(
names is None or (
not isinstance(names, str) and
hasattr(names, "__iter__")
)
)
assert(force_flags is None or isinstance(force_flags, list))
if names is None:
names = self.feature_supported.keys()
supported_names = set()
for f in names:
if self.feature_is_supported(
f, force_flags=force_flags, macros=macros
):
supported_names.add(f)
return supported_names
def feature_is_exist(self, name):
"""
Returns True if a certain feature is exist and covered within
`_Config.conf_features`.
Parameters
----------
'name': str
feature name in uppercase.
"""
assert(name.isupper())
return name in self.conf_features
def feature_sorted(self, names, reverse=False):
"""
Sort a list of CPU features ordered by the lowest interest.
Parameters
----------
'names': sequence
sequence of supported feature names in uppercase.
'reverse': bool, optional
If true, the sorted features is reversed. (highest interest)
Returns
-------
list, sorted CPU features
"""
def sort_cb(k):
if isinstance(k, str):
return self.feature_supported[k]["interest"]
# multiple features
rank = max([self.feature_supported[f]["interest"] for f in k])
# FIXME: that's not a safe way to increase the rank for
# multi targets
rank += len(k) -1
return rank
return sorted(names, reverse=reverse, key=sort_cb)
def feature_implies(self, names, keep_origins=False):
"""
Return a set of CPU features that implied by 'names'
Parameters
----------
names : str or sequence of str
CPU feature name(s) in uppercase.
keep_origins : bool
if False(default) then the returned set will not contain any
features from 'names'. This case happens only when two features
imply each other.
Examples
--------
>>> self.feature_implies("SSE3")
{'SSE', 'SSE2'}
>>> self.feature_implies("SSE2")
{'SSE'}
>>> self.feature_implies("SSE2", keep_origins=True)
# 'SSE2' found here since 'SSE' and 'SSE2' imply each other
{'SSE', 'SSE2'}
"""
def get_implies(name, _caller=set()):
implies = set()
d = self.feature_supported[name]
for i in d.get("implies", []):
implies.add(i)
if i in _caller:
# infinity recursive guard since
# features can imply each other
continue
_caller.add(name)
implies = implies.union(get_implies(i, _caller))
return implies
if isinstance(names, str):
implies = get_implies(names)
names = [names]
else:
assert(hasattr(names, "__iter__"))
implies = set()
for n in names:
implies = implies.union(get_implies(n))
if not keep_origins:
implies.difference_update(names)
return implies
def feature_implies_c(self, names):
"""same as feature_implies() but combining 'names'"""
if isinstance(names, str):
names = set((names,))
else:
names = set(names)
return names.union(self.feature_implies(names))
def feature_ahead(self, names):
"""
Return list of features in 'names' after remove any
implied features and keep the origins.
Parameters
----------
'names': sequence
sequence of CPU feature names in uppercase.
Returns
-------
list of CPU features sorted as-is 'names'
Examples
--------
>>> self.feature_ahead(["SSE2", "SSE3", "SSE41"])
["SSE41"]
# assume AVX2 and FMA3 implies each other and AVX2
# is the highest interest
>>> self.feature_ahead(["SSE2", "SSE3", "SSE41", "AVX2", "FMA3"])
["AVX2"]
# assume AVX2 and FMA3 don't implies each other
>>> self.feature_ahead(["SSE2", "SSE3", "SSE41", "AVX2", "FMA3"])
["AVX2", "FMA3"]
"""
assert(
not isinstance(names, str)
and hasattr(names, '__iter__')
)
implies = self.feature_implies(names, keep_origins=True)
ahead = [n for n in names if n not in implies]
if len(ahead) == 0:
# return the highest interested feature
# if all features imply each other
ahead = self.feature_sorted(names, reverse=True)[:1]
return ahead
def feature_untied(self, names):
"""
same as 'feature_ahead()' but if both features implied each other
and keep the highest interest.
Parameters
----------
'names': sequence
sequence of CPU feature names in uppercase.
Returns
-------
list of CPU features sorted as-is 'names'
Examples
--------
>>> self.feature_untied(["SSE2", "SSE3", "SSE41"])
["SSE2", "SSE3", "SSE41"]
# assume AVX2 and FMA3 implies each other
>>> self.feature_untied(["SSE2", "SSE3", "SSE41", "FMA3", "AVX2"])
["SSE2", "SSE3", "SSE41", "AVX2"]
"""
assert(
not isinstance(names, str)
and hasattr(names, '__iter__')
)
final = []
for n in names:
implies = self.feature_implies(n)
tied = [
nn for nn in final
if nn in implies and n in self.feature_implies(nn)
]
if tied:
tied = self.feature_sorted(tied + [n])
if n not in tied[1:]:
continue
final.remove(tied[:1][0])
final.append(n)
return final
def feature_get_til(self, names, keyisfalse):
"""
same as `feature_implies_c()` but stop collecting implied
features when feature's option that provided through
parameter 'keyisfalse' is False, also sorting the returned
features.
"""
def til(tnames):
# sort from highest to lowest interest then cut if "key" is False
tnames = self.feature_implies_c(tnames)
tnames = self.feature_sorted(tnames, reverse=True)
for i, n in enumerate(tnames):
if not self.feature_supported[n].get(keyisfalse, True):
tnames = tnames[:i+1]
break
return tnames
if isinstance(names, str) or len(names) <= 1:
names = til(names)
# normalize the sort
names.reverse()
return names
names = self.feature_ahead(names)
names = {t for n in names for t in til(n)}
return self.feature_sorted(names)
def feature_detect(self, names):
"""
Return a list of CPU features that required to be detected
sorted from the lowest to highest interest.
"""
names = self.feature_get_til(names, "implies_detect")
detect = []
for n in names:
d = self.feature_supported[n]
detect += d.get("detect", d.get("group", [n]))
return detect
@_Cache.me
def feature_flags(self, names):
"""
Return a list of CPU features flags sorted from the lowest
to highest interest.
"""
names = self.feature_sorted(self.feature_implies_c(names))
flags = []
for n in names:
d = self.feature_supported[n]
f = d.get("flags", [])
if not f or not self.cc_test_flags(f):
continue
flags += f
return self.cc_normalize_flags(flags)
@_Cache.me
def feature_test(self, name, force_flags=None, macros=[]):
"""
Test a certain CPU feature against the compiler through its own
check file.
Parameters
----------
name : str
Supported CPU feature name.
force_flags : list or None, optional
If None(default), the returned flags from `feature_flags()`
will be used.
macros : list of tuples, optional
A list of C macro definitions.
"""
if force_flags is None:
force_flags = self.feature_flags(name)
self.dist_log(
"testing feature '%s' with flags (%s)" % (
name, ' '.join(force_flags)
))
# Each CPU feature must have C source code contains at
# least one intrinsic or instruction related to this feature.
test_path = os.path.join(
self.conf_check_path, "cpu_%s.c" % name.lower()
)
if not os.path.exists(test_path):
self.dist_fatal("feature test file is not exist", test_path)
test = self.dist_test(
test_path, force_flags + self.cc_flags["werror"], macros=macros
)
if not test:
self.dist_log("testing failed", stderr=True)
return test
@_Cache.me
def feature_is_supported(self, name, force_flags=None, macros=[]):
"""
Check if a certain CPU feature is supported by the platform and compiler.
Parameters
----------
name : str
CPU feature name in uppercase.
force_flags : list or None, optional
If None(default), default compiler flags for every CPU feature will
be used during test.
macros : list of tuples, optional
A list of C macro definitions.
"""
assert(name.isupper())
assert(force_flags is None or isinstance(force_flags, list))
supported = name in self.feature_supported
if supported:
for impl in self.feature_implies(name):
if not self.feature_test(impl, force_flags, macros=macros):
return False
if not self.feature_test(name, force_flags, macros=macros):
return False
return supported
@_Cache.me
def feature_can_autovec(self, name):
"""
check if the feature can be auto-vectorized by the compiler
"""
assert(isinstance(name, str))
d = self.feature_supported[name]
can = d.get("autovec", None)
if can is None:
valid_flags = [
self.cc_test_flags([f]) for f in d.get("flags", [])
]
can = valid_flags and any(valid_flags)
return can
@_Cache.me
def feature_extra_checks(self, name):
"""
Return a list of supported extra checks after testing them against
the compiler.
Parameters
----------
names : str
CPU feature name in uppercase.
"""
assert isinstance(name, str)
d = self.feature_supported[name]
extra_checks = d.get("extra_checks", [])
if not extra_checks:
return []
self.dist_log("Testing extra checks for feature '%s'" % name, extra_checks)
flags = self.feature_flags(name)
available = []
not_available = []
for chk in extra_checks:
test_path = os.path.join(
self.conf_check_path, "extra_%s.c" % chk.lower()
)
if not os.path.exists(test_path):
self.dist_fatal("extra check file does not exist", test_path)
is_supported = self.dist_test(test_path, flags + self.cc_flags["werror"])
if is_supported:
available.append(chk)
else:
not_available.append(chk)
if not_available:
self.dist_log("testing failed for checks", not_available, stderr=True)
return available
def feature_c_preprocessor(self, feature_name, tabs=0):
"""
Generate C preprocessor definitions and include headers of a CPU feature.
Parameters
----------
'feature_name': str
CPU feature name in uppercase.
'tabs': int
if > 0, align the generated strings to the right depend on number of tabs.
Returns
-------
str, generated C preprocessor
Examples
--------
>>> self.feature_c_preprocessor("SSE3")
/** SSE3 **/
#define NPY_HAVE_SSE3 1
#include <pmmintrin.h>
"""
assert(feature_name.isupper())
feature = self.feature_supported.get(feature_name)
assert(feature is not None)
prepr = [
"/** %s **/" % feature_name,
"#define %sHAVE_%s 1" % (self.conf_c_prefix, feature_name)
]
prepr += [
"#include <%s>" % h for h in feature.get("headers", [])
]
extra_defs = feature.get("group", [])
extra_defs += self.feature_extra_checks(feature_name)
for edef in extra_defs:
# Guard extra definitions in case of duplicate with
# another feature
prepr += [
"#ifndef %sHAVE_%s" % (self.conf_c_prefix, edef),
"\t#define %sHAVE_%s 1" % (self.conf_c_prefix, edef),
"#endif",
]
if tabs > 0:
prepr = [('\t'*tabs) + l for l in prepr]
return '\n'.join(prepr)
class _Parse:
"""A helper class that parsing main arguments of `CCompilerOpt`,
also parsing configuration statements in dispatch-able sources.
Parameters
----------
cpu_baseline : str or None
minimal set of required CPU features or special options.
cpu_dispatch : str or None
dispatched set of additional CPU features or special options.
Special options can be:
- **MIN**: Enables the minimum CPU features that utilized via `_Config.conf_min_features`
- **MAX**: Enables all supported CPU features by the Compiler and platform.
- **NATIVE**: Enables all CPU features that supported by the current machine.
- **NONE**: Enables nothing
- **Operand +/-**: remove or add features, useful with options **MAX**, **MIN** and **NATIVE**.
NOTE: operand + is only added for nominal reason.
NOTES:
- Case-insensitive among all CPU features and special options.
- Comma or space can be used as a separator.
- If the CPU feature is not supported by the user platform or compiler,
it will be skipped rather than raising a fatal error.
- Any specified CPU features to 'cpu_dispatch' will be skipped if its part of CPU baseline features
- 'cpu_baseline' force enables implied features.
Attributes
----------
parse_baseline_names : list
Final CPU baseline's feature names(sorted from low to high)
parse_baseline_flags : list
Compiler flags of baseline features
parse_dispatch_names : list
Final CPU dispatch-able feature names(sorted from low to high)
parse_target_groups : dict
Dictionary containing initialized target groups that configured
through class attribute `conf_target_groups`.
The key is represent the group name and value is a tuple
contains three items :
- bool, True if group has the 'baseline' option.
- list, list of CPU features.
- list, list of extra compiler flags.
"""
def __init__(self, cpu_baseline, cpu_dispatch):
self._parse_policies = dict(
# POLICY NAME, (HAVE, NOT HAVE, [DEB])
KEEP_BASELINE = (
None, self._parse_policy_not_keepbase,
[]
),
KEEP_SORT = (
self._parse_policy_keepsort,
self._parse_policy_not_keepsort,
[]
),
MAXOPT = (
self._parse_policy_maxopt, None,
[]
),
WERROR = (
self._parse_policy_werror, None,
[]
),
AUTOVEC = (
self._parse_policy_autovec, None,
["MAXOPT"]
)
)
if hasattr(self, "parse_is_cached"):
return
self.parse_baseline_names = []
self.parse_baseline_flags = []
self.parse_dispatch_names = []
self.parse_target_groups = {}
if self.cc_noopt:
# skip parsing baseline and dispatch args and keep parsing target groups
cpu_baseline = cpu_dispatch = None
self.dist_log("check requested baseline")
if cpu_baseline is not None:
cpu_baseline = self._parse_arg_features("cpu_baseline", cpu_baseline)
baseline_names = self.feature_names(cpu_baseline)
self.parse_baseline_flags = self.feature_flags(baseline_names)
self.parse_baseline_names = self.feature_sorted(
self.feature_implies_c(baseline_names)
)
self.dist_log("check requested dispatch-able features")
if cpu_dispatch is not None:
cpu_dispatch_ = self._parse_arg_features("cpu_dispatch", cpu_dispatch)
cpu_dispatch = {
f for f in cpu_dispatch_
if f not in self.parse_baseline_names
}
conflict_baseline = cpu_dispatch_.difference(cpu_dispatch)
self.parse_dispatch_names = self.feature_sorted(
self.feature_names(cpu_dispatch)
)
if len(conflict_baseline) > 0:
self.dist_log(
"skip features", conflict_baseline, "since its part of baseline"
)
self.dist_log("initialize targets groups")
for group_name, tokens in self.conf_target_groups.items():
self.dist_log("parse target group", group_name)
GROUP_NAME = group_name.upper()
if not tokens or not tokens.strip():
# allow empty groups, useful in case if there's a need
# to disable certain group since '_parse_target_tokens()'
# requires at least one valid target
self.parse_target_groups[GROUP_NAME] = (
False, [], []
)
continue
has_baseline, features, extra_flags = \
self._parse_target_tokens(tokens)
self.parse_target_groups[GROUP_NAME] = (
has_baseline, features, extra_flags
)
self.parse_is_cached = True
def parse_targets(self, source):
"""
Fetch and parse configuration statements that required for
defining the targeted CPU features, statements should be declared
in the top of source in between **C** comment and start
with a special mark **@targets**.
Configuration statements are sort of keywords representing
CPU features names, group of statements and policies, combined
together to determine the required optimization.
Parameters
----------
source : str
the path of **C** source file.
Returns
-------
- bool, True if group has the 'baseline' option
- list, list of CPU features
- list, list of extra compiler flags
"""
self.dist_log("looking for '@targets' inside -> ", source)
# get lines between /*@targets and */
with open(source) as fd:
tokens = ""
max_to_reach = 1000 # good enough, isn't?
start_with = "@targets"
start_pos = -1
end_with = "*/"
end_pos = -1
for current_line, line in enumerate(fd):
if current_line == max_to_reach:
self.dist_fatal("reached the max of lines")
break
if start_pos == -1:
start_pos = line.find(start_with)
if start_pos == -1:
continue
start_pos += len(start_with)
tokens += line
end_pos = line.find(end_with)
if end_pos != -1:
end_pos += len(tokens) - len(line)
break
if start_pos == -1:
self.dist_fatal("expected to find '%s' within a C comment" % start_with)
if end_pos == -1:
self.dist_fatal("expected to end with '%s'" % end_with)
tokens = tokens[start_pos:end_pos]
return self._parse_target_tokens(tokens)
_parse_regex_arg = re.compile(r'\s|,|([+-])')
def _parse_arg_features(self, arg_name, req_features):
if not isinstance(req_features, str):
self.dist_fatal("expected a string in '%s'" % arg_name)
final_features = set()
# space and comma can be used as a separator
tokens = list(filter(None, re.split(self._parse_regex_arg, req_features)))
append = True # append is the default
for tok in tokens:
if tok[0] in ("#", "$"):
self.dist_fatal(
arg_name, "target groups and policies "
"aren't allowed from arguments, "
"only from dispatch-able sources"
)
if tok == '+':
append = True
continue
if tok == '-':
append = False
continue
TOK = tok.upper() # we use upper-case internally
features_to = set()
if TOK == "NONE":
pass
elif TOK == "NATIVE":
native = self.cc_flags["native"]
if not native:
self.dist_fatal(arg_name,
"native option isn't supported by the compiler"
)
features_to = self.feature_names(
force_flags=native, macros=[("DETECT_FEATURES", 1)]
)
elif TOK == "MAX":
features_to = self.feature_supported.keys()
elif TOK == "MIN":
features_to = self.feature_min
else:
if TOK in self.feature_supported:
features_to.add(TOK)
else:
if not self.feature_is_exist(TOK):
self.dist_fatal(arg_name,
", '%s' isn't a known feature or option" % tok
)
if append:
final_features = final_features.union(features_to)
else:
final_features = final_features.difference(features_to)
append = True # back to default
return final_features
_parse_regex_target = re.compile(r'\s|[*,/]|([()])')
def _parse_target_tokens(self, tokens):
assert(isinstance(tokens, str))
final_targets = [] # to keep it sorted as specified
extra_flags = []
has_baseline = False
skipped = set()
policies = set()
multi_target = None
tokens = list(filter(None, re.split(self._parse_regex_target, tokens)))
if not tokens:
self.dist_fatal("expected one token at least")
for tok in tokens:
TOK = tok.upper()
ch = tok[0]
if ch in ('+', '-'):
self.dist_fatal(
"+/- are 'not' allowed from target's groups or @targets, "
"only from cpu_baseline and cpu_dispatch parms"
)
elif ch == '$':
if multi_target is not None:
self.dist_fatal(
"policies aren't allowed inside multi-target '()'"
", only CPU features"
)
policies.add(self._parse_token_policy(TOK))
elif ch == '#':
if multi_target is not None:
self.dist_fatal(
"target groups aren't allowed inside multi-target '()'"
", only CPU features"
)
has_baseline, final_targets, extra_flags = \
self._parse_token_group(TOK, has_baseline, final_targets, extra_flags)
elif ch == '(':
if multi_target is not None:
self.dist_fatal("unclosed multi-target, missing ')'")
multi_target = set()
elif ch == ')':
if multi_target is None:
self.dist_fatal("multi-target opener '(' wasn't found")
targets = self._parse_multi_target(multi_target)
if targets is None:
skipped.add(tuple(multi_target))
else:
if len(targets) == 1:
targets = targets[0]
if targets and targets not in final_targets:
final_targets.append(targets)
multi_target = None # back to default
else:
if TOK == "BASELINE":
if multi_target is not None:
self.dist_fatal("baseline isn't allowed inside multi-target '()'")
has_baseline = True
continue
if multi_target is not None:
multi_target.add(TOK)
continue
if not self.feature_is_exist(TOK):
self.dist_fatal("invalid target name '%s'" % TOK)
is_enabled = (
TOK in self.parse_baseline_names or
TOK in self.parse_dispatch_names
)
if is_enabled:
if TOK not in final_targets:
final_targets.append(TOK)
continue
skipped.add(TOK)
if multi_target is not None:
self.dist_fatal("unclosed multi-target, missing ')'")
if skipped:
self.dist_log(
"skip targets", skipped,
"not part of baseline or dispatch-able features"
)
final_targets = self.feature_untied(final_targets)
# add polices dependencies
for p in list(policies):
_, _, deps = self._parse_policies[p]
for d in deps:
if d in policies:
continue
self.dist_log(
"policy '%s' force enables '%s'" % (
p, d
))
policies.add(d)
# release policies filtrations
for p, (have, nhave, _) in self._parse_policies.items():
func = None
if p in policies:
func = have
self.dist_log("policy '%s' is ON" % p)
else:
func = nhave
if not func:
continue
has_baseline, final_targets, extra_flags = func(
has_baseline, final_targets, extra_flags
)
return has_baseline, final_targets, extra_flags
def _parse_token_policy(self, token):
"""validate policy token"""
if len(token) <= 1 or token[-1:] == token[0]:
self.dist_fatal("'$' must stuck in the begin of policy name")
token = token[1:]
if token not in self._parse_policies:
self.dist_fatal(
"'%s' is an invalid policy name, available policies are" % token,
self._parse_policies.keys()
)
return token
def _parse_token_group(self, token, has_baseline, final_targets, extra_flags):
"""validate group token"""
if len(token) <= 1 or token[-1:] == token[0]:
self.dist_fatal("'#' must stuck in the begin of group name")
token = token[1:]
ghas_baseline, gtargets, gextra_flags = self.parse_target_groups.get(
token, (False, None, [])
)
if gtargets is None:
self.dist_fatal(
"'%s' is an invalid target group name, " % token + \
"available target groups are",
self.parse_target_groups.keys()
)
if ghas_baseline:
has_baseline = True
# always keep sorting as specified
final_targets += [f for f in gtargets if f not in final_targets]
extra_flags += [f for f in gextra_flags if f not in extra_flags]
return has_baseline, final_targets, extra_flags
def _parse_multi_target(self, targets):
"""validate multi targets that defined between parentheses()"""
# remove any implied features and keep the origins
if not targets:
self.dist_fatal("empty multi-target '()'")
if not all([
self.feature_is_exist(tar) for tar in targets
]) :
self.dist_fatal("invalid target name in multi-target", targets)
if not all([
(
tar in self.parse_baseline_names or
tar in self.parse_dispatch_names
)
for tar in targets
]) :
return None
targets = self.feature_ahead(targets)
if not targets:
return None
# force sort multi targets, so it can be comparable
targets = self.feature_sorted(targets)
targets = tuple(targets) # hashable
return targets
def _parse_policy_not_keepbase(self, has_baseline, final_targets, extra_flags):
"""skip all baseline features"""
skipped = []
for tar in final_targets[:]:
is_base = False
if isinstance(tar, str):
is_base = tar in self.parse_baseline_names
else:
# multi targets
is_base = all([
f in self.parse_baseline_names
for f in tar
])
if is_base:
skipped.append(tar)
final_targets.remove(tar)
if skipped:
self.dist_log("skip baseline features", skipped)
return has_baseline, final_targets, extra_flags
def _parse_policy_keepsort(self, has_baseline, final_targets, extra_flags):
"""leave a notice that $keep_sort is on"""
self.dist_log(
"policy 'keep_sort' is on, dispatch-able targets", final_targets, "\n"
"are 'not' sorted depend on the highest interest but"
"as specified in the dispatch-able source or the extra group"
)
return has_baseline, final_targets, extra_flags
def _parse_policy_not_keepsort(self, has_baseline, final_targets, extra_flags):
"""sorted depend on the highest interest"""
final_targets = self.feature_sorted(final_targets, reverse=True)
return has_baseline, final_targets, extra_flags
def _parse_policy_maxopt(self, has_baseline, final_targets, extra_flags):
"""append the compiler optimization flags"""
if self.cc_has_debug:
self.dist_log("debug mode is detected, policy 'maxopt' is skipped.")
elif self.cc_noopt:
self.dist_log("optimization is disabled, policy 'maxopt' is skipped.")
else:
flags = self.cc_flags["opt"]
if not flags:
self.dist_log(
"current compiler doesn't support optimization flags, "
"policy 'maxopt' is skipped", stderr=True
)
else:
extra_flags += flags
return has_baseline, final_targets, extra_flags
def _parse_policy_werror(self, has_baseline, final_targets, extra_flags):
"""force warnings to treated as errors"""
flags = self.cc_flags["werror"]
if not flags:
self.dist_log(
"current compiler doesn't support werror flags, "
"warnings will 'not' treated as errors", stderr=True
)
else:
self.dist_log("compiler warnings are treated as errors")
extra_flags += flags
return has_baseline, final_targets, extra_flags
def _parse_policy_autovec(self, has_baseline, final_targets, extra_flags):
"""skip features that has no auto-vectorized support by compiler"""
skipped = []
for tar in final_targets[:]:
if isinstance(tar, str):
can = self.feature_can_autovec(tar)
else: # multiple target
can = all([
self.feature_can_autovec(t)
for t in tar
])
if not can:
final_targets.remove(tar)
skipped.append(tar)
if skipped:
self.dist_log("skip non auto-vectorized features", skipped)
return has_baseline, final_targets, extra_flags
class CCompilerOpt(_Config, _Distutils, _Cache, _CCompiler, _Feature, _Parse):
"""
A helper class for `CCompiler` aims to provide extra build options
to effectively control of compiler optimizations that are directly
related to CPU features.
"""
def __init__(self, ccompiler, cpu_baseline="min", cpu_dispatch="max", cache_path=None):
_Config.__init__(self)
_Distutils.__init__(self, ccompiler)
_Cache.__init__(self, cache_path, self.dist_info(), cpu_baseline, cpu_dispatch)
_CCompiler.__init__(self)
_Feature.__init__(self)
if not self.cc_noopt and self.cc_has_native:
self.dist_log(
"native flag is specified through environment variables. "
"force cpu-baseline='native'"
)
cpu_baseline = "native"
_Parse.__init__(self, cpu_baseline, cpu_dispatch)
# keep the requested features untouched, need it later for report
# and trace purposes
self._requested_baseline = cpu_baseline
self._requested_dispatch = cpu_dispatch
# key is the dispatch-able source and value is a tuple
# contains two items (has_baseline[boolean], dispatched-features[list])
self.sources_status = getattr(self, "sources_status", {})
# every instance should has a separate one
self.cache_private.add("sources_status")
# set it at the end to make sure the cache writing was done after init
# this class
self.hit_cache = hasattr(self, "hit_cache")
def is_cached(self):
"""
Returns True if the class loaded from the cache file
"""
return self.cache_infile and self.hit_cache
def cpu_baseline_flags(self):
"""
Returns a list of final CPU baseline compiler flags
"""
return self.parse_baseline_flags
def cpu_baseline_names(self):
"""
return a list of final CPU baseline feature names
"""
return self.parse_baseline_names
def cpu_dispatch_names(self):
"""
return a list of final CPU dispatch feature names
"""
return self.parse_dispatch_names
def try_dispatch(self, sources, src_dir=None, ccompiler=None, **kwargs):
"""
Compile one or more dispatch-able sources and generates object files,
also generates abstract C config headers and macros that
used later for the final runtime dispatching process.
The mechanism behind it is to takes each source file that specified
in 'sources' and branching it into several files depend on
special configuration statements that must be declared in the
top of each source which contains targeted CPU features,
then it compiles every branched source with the proper compiler flags.
Parameters
----------
sources : list
Must be a list of dispatch-able sources file paths,
and configuration statements must be declared inside
each file.
src_dir : str
Path of parent directory for the generated headers and wrapped sources.
If None(default) the files will generated in-place.
ccompiler : CCompiler
Distutils `CCompiler` instance to be used for compilation.
If None (default), the provided instance during the initialization
will be used instead.
**kwargs : any
Arguments to pass on to the `CCompiler.compile()`
Returns
-------
list : generated object files
Raises
------
CompileError
Raises by `CCompiler.compile()` on compiling failure.
DistutilsError
Some errors during checking the sanity of configuration statements.
See Also
--------
parse_targets :
Parsing the configuration statements of dispatch-able sources.
"""
to_compile = {}
baseline_flags = self.cpu_baseline_flags()
include_dirs = kwargs.setdefault("include_dirs", [])
for src in sources:
output_dir = os.path.dirname(src)
if src_dir:
if not output_dir.startswith(src_dir):
output_dir = os.path.join(src_dir, output_dir)
if output_dir not in include_dirs:
# To allow including the generated config header(*.dispatch.h)
# by the dispatch-able sources
include_dirs.append(output_dir)
has_baseline, targets, extra_flags = self.parse_targets(src)
nochange = self._generate_config(output_dir, src, targets, has_baseline)
for tar in targets:
tar_src = self._wrap_target(output_dir, src, tar, nochange=nochange)
flags = tuple(extra_flags + self.feature_flags(tar))
to_compile.setdefault(flags, []).append(tar_src)
if has_baseline:
flags = tuple(extra_flags + baseline_flags)
to_compile.setdefault(flags, []).append(src)
self.sources_status[src] = (has_baseline, targets)
# For these reasons, the sources are compiled in a separate loop:
# - Gathering all sources with the same flags to benefit from
# the parallel compiling as much as possible.
# - To generate all config headers of the dispatchable sources,
# before the compilation in case if there are dependency relationships
# among them.
objects = []
for flags, srcs in to_compile.items():
objects += self.dist_compile(
srcs, list(flags), ccompiler=ccompiler, **kwargs
)
return objects
def generate_dispatch_header(self, header_path):
"""
Generate the dispatch header which contains the #definitions and headers
for platform-specific instruction-sets for the enabled CPU baseline and
dispatch-able features.
Its highly recommended to take a look at the generated header
also the generated source files via `try_dispatch()`
in order to get the full picture.
"""
self.dist_log("generate CPU dispatch header: (%s)" % header_path)
baseline_names = self.cpu_baseline_names()
dispatch_names = self.cpu_dispatch_names()
baseline_len = len(baseline_names)
dispatch_len = len(dispatch_names)
header_dir = os.path.dirname(header_path)
if not os.path.exists(header_dir):
self.dist_log(
f"dispatch header dir {header_dir} does not exist, creating it",
stderr=True
)
os.makedirs(header_dir)
with open(header_path, 'w') as f:
baseline_calls = ' \\\n'.join([
(
"\t%sWITH_CPU_EXPAND_(MACRO_TO_CALL(%s, __VA_ARGS__))"
) % (self.conf_c_prefix, f)
for f in baseline_names
])
dispatch_calls = ' \\\n'.join([
(
"\t%sWITH_CPU_EXPAND_(MACRO_TO_CALL(%s, __VA_ARGS__))"
) % (self.conf_c_prefix, f)
for f in dispatch_names
])
f.write(textwrap.dedent("""\
/*
* AUTOGENERATED DON'T EDIT
* Please make changes to the code generator (distutils/ccompiler_opt.py)
*/
#define {pfx}WITH_CPU_BASELINE "{baseline_str}"
#define {pfx}WITH_CPU_DISPATCH "{dispatch_str}"
#define {pfx}WITH_CPU_BASELINE_N {baseline_len}
#define {pfx}WITH_CPU_DISPATCH_N {dispatch_len}
#define {pfx}WITH_CPU_EXPAND_(X) X
#define {pfx}WITH_CPU_BASELINE_CALL(MACRO_TO_CALL, ...) \\
{baseline_calls}
#define {pfx}WITH_CPU_DISPATCH_CALL(MACRO_TO_CALL, ...) \\
{dispatch_calls}
""").format(
pfx=self.conf_c_prefix, baseline_str=" ".join(baseline_names),
dispatch_str=" ".join(dispatch_names), baseline_len=baseline_len,
dispatch_len=dispatch_len, baseline_calls=baseline_calls,
dispatch_calls=dispatch_calls
))
baseline_pre = ''
for name in baseline_names:
baseline_pre += self.feature_c_preprocessor(name, tabs=1) + '\n'
dispatch_pre = ''
for name in dispatch_names:
dispatch_pre += textwrap.dedent("""\
#ifdef {pfx}CPU_TARGET_{name}
{pre}
#endif /*{pfx}CPU_TARGET_{name}*/
""").format(
pfx=self.conf_c_prefix_, name=name, pre=self.feature_c_preprocessor(
name, tabs=1
))
f.write(textwrap.dedent("""\
/******* baseline features *******/
{baseline_pre}
/******* dispatch features *******/
{dispatch_pre}
""").format(
pfx=self.conf_c_prefix_, baseline_pre=baseline_pre,
dispatch_pre=dispatch_pre
))
def report(self, full=False):
report = []
platform_rows = []
baseline_rows = []
dispatch_rows = []
report.append(("Platform", platform_rows))
report.append(("", ""))
report.append(("CPU baseline", baseline_rows))
report.append(("", ""))
report.append(("CPU dispatch", dispatch_rows))
########## platform ##########
platform_rows.append(("Architecture", (
"unsupported" if self.cc_on_noarch else self.cc_march)
))
platform_rows.append(("Compiler", (
"unix-like" if self.cc_is_nocc else self.cc_name)
))
########## baseline ##########
if self.cc_noopt:
baseline_rows.append(("Requested", "optimization disabled"))
else:
baseline_rows.append(("Requested", repr(self._requested_baseline)))
baseline_names = self.cpu_baseline_names()
baseline_rows.append((
"Enabled", (' '.join(baseline_names) if baseline_names else "none")
))
baseline_flags = self.cpu_baseline_flags()
baseline_rows.append((
"Flags", (' '.join(baseline_flags) if baseline_flags else "none")
))
extra_checks = []
for name in baseline_names:
extra_checks += self.feature_extra_checks(name)
baseline_rows.append((
"Extra checks", (' '.join(extra_checks) if extra_checks else "none")
))
########## dispatch ##########
if self.cc_noopt:
baseline_rows.append(("Requested", "optimization disabled"))
else:
dispatch_rows.append(("Requested", repr(self._requested_dispatch)))
dispatch_names = self.cpu_dispatch_names()
dispatch_rows.append((
"Enabled", (' '.join(dispatch_names) if dispatch_names else "none")
))
########## Generated ##########
# TODO:
# - collect object names from 'try_dispatch()'
# then get size of each object and printed
# - give more details about the features that not
# generated due compiler support
# - find a better output's design.
#
target_sources = {}
for source, (_, targets) in self.sources_status.items():
for tar in targets:
target_sources.setdefault(tar, []).append(source)
if not full or not target_sources:
generated = ""
for tar in self.feature_sorted(target_sources):
sources = target_sources[tar]
name = tar if isinstance(tar, str) else '(%s)' % ' '.join(tar)
generated += name + "[%d] " % len(sources)
dispatch_rows.append(("Generated", generated[:-1] if generated else "none"))
else:
dispatch_rows.append(("Generated", ''))
for tar in self.feature_sorted(target_sources):
sources = target_sources[tar]
pretty_name = tar if isinstance(tar, str) else '(%s)' % ' '.join(tar)
flags = ' '.join(self.feature_flags(tar))
implies = ' '.join(self.feature_sorted(self.feature_implies(tar)))
detect = ' '.join(self.feature_detect(tar))
extra_checks = []
for name in ((tar,) if isinstance(tar, str) else tar):
extra_checks += self.feature_extra_checks(name)
extra_checks = (' '.join(extra_checks) if extra_checks else "none")
dispatch_rows.append(('', ''))
dispatch_rows.append((pretty_name, implies))
dispatch_rows.append(("Flags", flags))
dispatch_rows.append(("Extra checks", extra_checks))
dispatch_rows.append(("Detect", detect))
for src in sources:
dispatch_rows.append(("", src))
###############################
# TODO: add support for 'markdown' format
text = []
secs_len = [len(secs) for secs, _ in report]
cols_len = [len(col) for _, rows in report for col, _ in rows]
tab = ' ' * 2
pad = max(max(secs_len), max(cols_len))
for sec, rows in report:
if not sec:
text.append("") # empty line
continue
sec += ' ' * (pad - len(sec))
text.append(sec + tab + ': ')
for col, val in rows:
col += ' ' * (pad - len(col))
text.append(tab + col + ': ' + val)
return '\n'.join(text)
def _wrap_target(self, output_dir, dispatch_src, target, nochange=False):
assert(isinstance(target, (str, tuple)))
if isinstance(target, str):
ext_name = target_name = target
else:
# multi-target
ext_name = '.'.join(target)
target_name = '__'.join(target)
wrap_path = os.path.join(output_dir, os.path.basename(dispatch_src))
wrap_path = "{0}.{2}{1}".format(*os.path.splitext(wrap_path), ext_name.lower())
if nochange and os.path.exists(wrap_path):
return wrap_path
self.dist_log("wrap dispatch-able target -> ", wrap_path)
# sorting for readability
features = self.feature_sorted(self.feature_implies_c(target))
target_join = "#define %sCPU_TARGET_" % self.conf_c_prefix_
target_defs = [target_join + f for f in features]
target_defs = '\n'.join(target_defs)
with open(wrap_path, "w") as fd:
fd.write(textwrap.dedent("""\
/**
* AUTOGENERATED DON'T EDIT
* Please make changes to the code generator \
(distutils/ccompiler_opt.py)
*/
#define {pfx}CPU_TARGET_MODE
#define {pfx}CPU_TARGET_CURRENT {target_name}
{target_defs}
#include "{path}"
""").format(
pfx=self.conf_c_prefix_, target_name=target_name,
path=os.path.abspath(dispatch_src), target_defs=target_defs
))
return wrap_path
def _generate_config(self, output_dir, dispatch_src, targets, has_baseline=False):
config_path = os.path.basename(dispatch_src)
config_path = os.path.splitext(config_path)[0] + '.h'
config_path = os.path.join(output_dir, config_path)
# check if targets didn't change to avoid recompiling
cache_hash = self.cache_hash(targets, has_baseline)
try:
with open(config_path) as f:
last_hash = f.readline().split("cache_hash:")
if len(last_hash) == 2 and int(last_hash[1]) == cache_hash:
return True
except OSError:
pass
os.makedirs(os.path.dirname(config_path), exist_ok=True)
self.dist_log("generate dispatched config -> ", config_path)
dispatch_calls = []
for tar in targets:
if isinstance(tar, str):
target_name = tar
else: # multi target
target_name = '__'.join([t for t in tar])
req_detect = self.feature_detect(tar)
req_detect = '&&'.join([
"CHK(%s)" % f for f in req_detect
])
dispatch_calls.append(
"\t%sCPU_DISPATCH_EXPAND_(CB((%s), %s, __VA_ARGS__))" % (
self.conf_c_prefix_, req_detect, target_name
))
dispatch_calls = ' \\\n'.join(dispatch_calls)
if has_baseline:
baseline_calls = (
"\t%sCPU_DISPATCH_EXPAND_(CB(__VA_ARGS__))"
) % self.conf_c_prefix_
else:
baseline_calls = ''
with open(config_path, "w") as fd:
fd.write(textwrap.dedent("""\
// cache_hash:{cache_hash}
/**
* AUTOGENERATED DON'T EDIT
* Please make changes to the code generator (distutils/ccompiler_opt.py)
*/
#ifndef {pfx}CPU_DISPATCH_EXPAND_
#define {pfx}CPU_DISPATCH_EXPAND_(X) X
#endif
#undef {pfx}CPU_DISPATCH_BASELINE_CALL
#undef {pfx}CPU_DISPATCH_CALL
#define {pfx}CPU_DISPATCH_BASELINE_CALL(CB, ...) \\
{baseline_calls}
#define {pfx}CPU_DISPATCH_CALL(CHK, CB, ...) \\
{dispatch_calls}
""").format(
pfx=self.conf_c_prefix_, baseline_calls=baseline_calls,
dispatch_calls=dispatch_calls, cache_hash=cache_hash
))
return False
def new_ccompiler_opt(compiler, dispatch_hpath, **kwargs):
"""
Create a new instance of 'CCompilerOpt' and generate the dispatch header
which contains the #definitions and headers of platform-specific instruction-sets for
the enabled CPU baseline and dispatch-able features.
Parameters
----------
compiler : CCompiler instance
dispatch_hpath : str
path of the dispatch header
**kwargs: passed as-is to `CCompilerOpt(...)`
Returns
-------
new instance of CCompilerOpt
"""
opt = CCompilerOpt(compiler, **kwargs)
if not os.path.exists(dispatch_hpath) or not opt.is_cached():
opt.generate_dispatch_header(dispatch_hpath)
return opt
| 99,751 | Python | 36.557229 | 107 | 0.53427 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/ccompiler.py | import os
import re
import sys
import shlex
import time
import subprocess
from copy import copy
from distutils import ccompiler
from distutils.ccompiler import (
compiler_class, gen_lib_options, get_default_compiler, new_compiler,
CCompiler
)
from distutils.errors import (
DistutilsExecError, DistutilsModuleError, DistutilsPlatformError,
CompileError, UnknownFileError
)
from distutils.sysconfig import customize_compiler
from distutils.version import LooseVersion
from numpy.distutils import log
from numpy.distutils.exec_command import (
filepath_from_subprocess_output, forward_bytes_to_stdout
)
from numpy.distutils.misc_util import cyg2win32, is_sequence, mingw32, \
get_num_build_jobs, \
_commandline_dep_string, \
sanitize_cxx_flags
# globals for parallel build management
import threading
_job_semaphore = None
_global_lock = threading.Lock()
_processing_files = set()
def _needs_build(obj, cc_args, extra_postargs, pp_opts):
"""
Check if an objects needs to be rebuild based on its dependencies
Parameters
----------
obj : str
object file
Returns
-------
bool
"""
# defined in unixcompiler.py
dep_file = obj + '.d'
if not os.path.exists(dep_file):
return True
# dep_file is a makefile containing 'object: dependencies'
# formatted like posix shell (spaces escaped, \ line continuations)
# the last line contains the compiler commandline arguments as some
# projects may compile an extension multiple times with different
# arguments
with open(dep_file, "r") as f:
lines = f.readlines()
cmdline =_commandline_dep_string(cc_args, extra_postargs, pp_opts)
last_cmdline = lines[-1]
if last_cmdline != cmdline:
return True
contents = ''.join(lines[:-1])
deps = [x for x in shlex.split(contents, posix=True)
if x != "\n" and not x.endswith(":")]
try:
t_obj = os.stat(obj).st_mtime
# check if any of the dependencies is newer than the object
# the dependencies includes the source used to create the object
for f in deps:
if os.stat(f).st_mtime > t_obj:
return True
except OSError:
# no object counts as newer (shouldn't happen if dep_file exists)
return True
return False
def replace_method(klass, method_name, func):
# Py3k does not have unbound method anymore, MethodType does not work
m = lambda self, *args, **kw: func(self, *args, **kw)
setattr(klass, method_name, m)
######################################################################
## Method that subclasses may redefine. But don't call this method,
## it i private to CCompiler class and may return unexpected
## results if used elsewhere. So, you have been warned..
def CCompiler_find_executables(self):
"""
Does nothing here, but is called by the get_version method and can be
overridden by subclasses. In particular it is redefined in the `FCompiler`
class where more documentation can be found.
"""
pass
replace_method(CCompiler, 'find_executables', CCompiler_find_executables)
# Using customized CCompiler.spawn.
def CCompiler_spawn(self, cmd, display=None, env=None):
"""
Execute a command in a sub-process.
Parameters
----------
cmd : str
The command to execute.
display : str or sequence of str, optional
The text to add to the log file kept by `numpy.distutils`.
If not given, `display` is equal to `cmd`.
env : a dictionary for environment variables, optional
Returns
-------
None
Raises
------
DistutilsExecError
If the command failed, i.e. the exit status was not 0.
"""
env = env if env is not None else dict(os.environ)
if display is None:
display = cmd
if is_sequence(display):
display = ' '.join(list(display))
log.info(display)
try:
if self.verbose:
subprocess.check_output(cmd, env=env)
else:
subprocess.check_output(cmd, stderr=subprocess.STDOUT, env=env)
except subprocess.CalledProcessError as exc:
o = exc.output
s = exc.returncode
except OSError as e:
# OSError doesn't have the same hooks for the exception
# output, but exec_command() historically would use an
# empty string for EnvironmentError (base class for
# OSError)
# o = b''
# still that would make the end-user lost in translation!
o = f"\n\n{e}\n\n\n"
try:
o = o.encode(sys.stdout.encoding)
except AttributeError:
o = o.encode('utf8')
# status previously used by exec_command() for parent
# of OSError
s = 127
else:
# use a convenience return here so that any kind of
# caught exception will execute the default code after the
# try / except block, which handles various exceptions
return None
if is_sequence(cmd):
cmd = ' '.join(list(cmd))
if self.verbose:
forward_bytes_to_stdout(o)
if re.search(b'Too many open files', o):
msg = '\nTry rerunning setup command until build succeeds.'
else:
msg = ''
raise DistutilsExecError('Command "%s" failed with exit status %d%s' %
(cmd, s, msg))
replace_method(CCompiler, 'spawn', CCompiler_spawn)
def CCompiler_object_filenames(self, source_filenames, strip_dir=0, output_dir=''):
"""
Return the name of the object files for the given source files.
Parameters
----------
source_filenames : list of str
The list of paths to source files. Paths can be either relative or
absolute, this is handled transparently.
strip_dir : bool, optional
Whether to strip the directory from the returned paths. If True,
the file name prepended by `output_dir` is returned. Default is False.
output_dir : str, optional
If given, this path is prepended to the returned paths to the
object files.
Returns
-------
obj_names : list of str
The list of paths to the object files corresponding to the source
files in `source_filenames`.
"""
if output_dir is None:
output_dir = ''
obj_names = []
for src_name in source_filenames:
base, ext = os.path.splitext(os.path.normpath(src_name))
base = os.path.splitdrive(base)[1] # Chop off the drive
base = base[os.path.isabs(base):] # If abs, chop off leading /
if base.startswith('..'):
# Resolve starting relative path components, middle ones
# (if any) have been handled by os.path.normpath above.
i = base.rfind('..')+2
d = base[:i]
d = os.path.basename(os.path.abspath(d))
base = d + base[i:]
if ext not in self.src_extensions:
raise UnknownFileError("unknown file type '%s' (from '%s')" % (ext, src_name))
if strip_dir:
base = os.path.basename(base)
obj_name = os.path.join(output_dir, base + self.obj_extension)
obj_names.append(obj_name)
return obj_names
replace_method(CCompiler, 'object_filenames', CCompiler_object_filenames)
def CCompiler_compile(self, sources, output_dir=None, macros=None,
include_dirs=None, debug=0, extra_preargs=None,
extra_postargs=None, depends=None):
"""
Compile one or more source files.
Please refer to the Python distutils API reference for more details.
Parameters
----------
sources : list of str
A list of filenames
output_dir : str, optional
Path to the output directory.
macros : list of tuples
A list of macro definitions.
include_dirs : list of str, optional
The directories to add to the default include file search path for
this compilation only.
debug : bool, optional
Whether or not to output debug symbols in or alongside the object
file(s).
extra_preargs, extra_postargs : ?
Extra pre- and post-arguments.
depends : list of str, optional
A list of file names that all targets depend on.
Returns
-------
objects : list of str
A list of object file names, one per source file `sources`.
Raises
------
CompileError
If compilation fails.
"""
global _job_semaphore
jobs = get_num_build_jobs()
# setup semaphore to not exceed number of compile jobs when parallelized at
# extension level (python >= 3.5)
with _global_lock:
if _job_semaphore is None:
_job_semaphore = threading.Semaphore(jobs)
if not sources:
return []
from numpy.distutils.fcompiler import (FCompiler, is_f_file,
has_f90_header)
if isinstance(self, FCompiler):
display = []
for fc in ['f77', 'f90', 'fix']:
fcomp = getattr(self, 'compiler_'+fc)
if fcomp is None:
continue
display.append("Fortran %s compiler: %s" % (fc, ' '.join(fcomp)))
display = '\n'.join(display)
else:
ccomp = self.compiler_so
display = "C compiler: %s\n" % (' '.join(ccomp),)
log.info(display)
macros, objects, extra_postargs, pp_opts, build = \
self._setup_compile(output_dir, macros, include_dirs, sources,
depends, extra_postargs)
cc_args = self._get_cc_args(pp_opts, debug, extra_preargs)
display = "compile options: '%s'" % (' '.join(cc_args))
if extra_postargs:
display += "\nextra options: '%s'" % (' '.join(extra_postargs))
log.info(display)
def single_compile(args):
obj, (src, ext) = args
if not _needs_build(obj, cc_args, extra_postargs, pp_opts):
return
# check if we are currently already processing the same object
# happens when using the same source in multiple extensions
while True:
# need explicit lock as there is no atomic check and add with GIL
with _global_lock:
# file not being worked on, start working
if obj not in _processing_files:
_processing_files.add(obj)
break
# wait for the processing to end
time.sleep(0.1)
try:
# retrieve slot from our #job semaphore and build
with _job_semaphore:
self._compile(obj, src, ext, cc_args, extra_postargs, pp_opts)
finally:
# register being done processing
with _global_lock:
_processing_files.remove(obj)
if isinstance(self, FCompiler):
objects_to_build = list(build.keys())
f77_objects, other_objects = [], []
for obj in objects:
if obj in objects_to_build:
src, ext = build[obj]
if self.compiler_type=='absoft':
obj = cyg2win32(obj)
src = cyg2win32(src)
if is_f_file(src) and not has_f90_header(src):
f77_objects.append((obj, (src, ext)))
else:
other_objects.append((obj, (src, ext)))
# f77 objects can be built in parallel
build_items = f77_objects
# build f90 modules serial, module files are generated during
# compilation and may be used by files later in the list so the
# ordering is important
for o in other_objects:
single_compile(o)
else:
build_items = build.items()
if len(build) > 1 and jobs > 1:
# build parallel
from concurrent.futures import ThreadPoolExecutor
with ThreadPoolExecutor(jobs) as pool:
res = pool.map(single_compile, build_items)
list(res) # access result to raise errors
else:
# build serial
for o in build_items:
single_compile(o)
# Return *all* object filenames, not just the ones we just built.
return objects
replace_method(CCompiler, 'compile', CCompiler_compile)
def CCompiler_customize_cmd(self, cmd, ignore=()):
"""
Customize compiler using distutils command.
Parameters
----------
cmd : class instance
An instance inheriting from `distutils.cmd.Command`.
ignore : sequence of str, optional
List of `CCompiler` commands (without ``'set_'``) that should not be
altered. Strings that are checked for are:
``('include_dirs', 'define', 'undef', 'libraries', 'library_dirs',
'rpath', 'link_objects')``.
Returns
-------
None
"""
log.info('customize %s using %s' % (self.__class__.__name__,
cmd.__class__.__name__))
if hasattr(self, 'compiler') and 'clang' in self.compiler[0]:
# clang defaults to a non-strict floating error point model.
# Since NumPy and most Python libs give warnings for these, override:
self.compiler.append('-ftrapping-math')
self.compiler_so.append('-ftrapping-math')
def allow(attr):
return getattr(cmd, attr, None) is not None and attr not in ignore
if allow('include_dirs'):
self.set_include_dirs(cmd.include_dirs)
if allow('define'):
for (name, value) in cmd.define:
self.define_macro(name, value)
if allow('undef'):
for macro in cmd.undef:
self.undefine_macro(macro)
if allow('libraries'):
self.set_libraries(self.libraries + cmd.libraries)
if allow('library_dirs'):
self.set_library_dirs(self.library_dirs + cmd.library_dirs)
if allow('rpath'):
self.set_runtime_library_dirs(cmd.rpath)
if allow('link_objects'):
self.set_link_objects(cmd.link_objects)
replace_method(CCompiler, 'customize_cmd', CCompiler_customize_cmd)
def _compiler_to_string(compiler):
props = []
mx = 0
keys = list(compiler.executables.keys())
for key in ['version', 'libraries', 'library_dirs',
'object_switch', 'compile_switch',
'include_dirs', 'define', 'undef', 'rpath', 'link_objects']:
if key not in keys:
keys.append(key)
for key in keys:
if hasattr(compiler, key):
v = getattr(compiler, key)
mx = max(mx, len(key))
props.append((key, repr(v)))
fmt = '%-' + repr(mx+1) + 's = %s'
lines = [fmt % prop for prop in props]
return '\n'.join(lines)
def CCompiler_show_customization(self):
"""
Print the compiler customizations to stdout.
Parameters
----------
None
Returns
-------
None
Notes
-----
Printing is only done if the distutils log threshold is < 2.
"""
try:
self.get_version()
except Exception:
pass
if log._global_log.threshold<2:
print('*'*80)
print(self.__class__)
print(_compiler_to_string(self))
print('*'*80)
replace_method(CCompiler, 'show_customization', CCompiler_show_customization)
def CCompiler_customize(self, dist, need_cxx=0):
"""
Do any platform-specific customization of a compiler instance.
This method calls `distutils.sysconfig.customize_compiler` for
platform-specific customization, as well as optionally remove a flag
to suppress spurious warnings in case C++ code is being compiled.
Parameters
----------
dist : object
This parameter is not used for anything.
need_cxx : bool, optional
Whether or not C++ has to be compiled. If so (True), the
``"-Wstrict-prototypes"`` option is removed to prevent spurious
warnings. Default is False.
Returns
-------
None
Notes
-----
All the default options used by distutils can be extracted with::
from distutils import sysconfig
sysconfig.get_config_vars('CC', 'CXX', 'OPT', 'BASECFLAGS',
'CCSHARED', 'LDSHARED', 'SO')
"""
# See FCompiler.customize for suggested usage.
log.info('customize %s' % (self.__class__.__name__))
customize_compiler(self)
if need_cxx:
# In general, distutils uses -Wstrict-prototypes, but this option is
# not valid for C++ code, only for C. Remove it if it's there to
# avoid a spurious warning on every compilation.
try:
self.compiler_so.remove('-Wstrict-prototypes')
except (AttributeError, ValueError):
pass
if hasattr(self, 'compiler') and 'cc' in self.compiler[0]:
if not self.compiler_cxx:
if self.compiler[0].startswith('gcc'):
a, b = 'gcc', 'g++'
else:
a, b = 'cc', 'c++'
self.compiler_cxx = [self.compiler[0].replace(a, b)]\
+ self.compiler[1:]
else:
if hasattr(self, 'compiler'):
log.warn("#### %s #######" % (self.compiler,))
if not hasattr(self, 'compiler_cxx'):
log.warn('Missing compiler_cxx fix for ' + self.__class__.__name__)
# check if compiler supports gcc style automatic dependencies
# run on every extension so skip for known good compilers
if hasattr(self, 'compiler') and ('gcc' in self.compiler[0] or
'g++' in self.compiler[0] or
'clang' in self.compiler[0]):
self._auto_depends = True
elif os.name == 'posix':
import tempfile
import shutil
tmpdir = tempfile.mkdtemp()
try:
fn = os.path.join(tmpdir, "file.c")
with open(fn, "w") as f:
f.write("int a;\n")
self.compile([fn], output_dir=tmpdir,
extra_preargs=['-MMD', '-MF', fn + '.d'])
self._auto_depends = True
except CompileError:
self._auto_depends = False
finally:
shutil.rmtree(tmpdir)
return
replace_method(CCompiler, 'customize', CCompiler_customize)
def simple_version_match(pat=r'[-.\d]+', ignore='', start=''):
"""
Simple matching of version numbers, for use in CCompiler and FCompiler.
Parameters
----------
pat : str, optional
A regular expression matching version numbers.
Default is ``r'[-.\\d]+'``.
ignore : str, optional
A regular expression matching patterns to skip.
Default is ``''``, in which case nothing is skipped.
start : str, optional
A regular expression matching the start of where to start looking
for version numbers.
Default is ``''``, in which case searching is started at the
beginning of the version string given to `matcher`.
Returns
-------
matcher : callable
A function that is appropriate to use as the ``.version_match``
attribute of a `CCompiler` class. `matcher` takes a single parameter,
a version string.
"""
def matcher(self, version_string):
# version string may appear in the second line, so getting rid
# of new lines:
version_string = version_string.replace('\n', ' ')
pos = 0
if start:
m = re.match(start, version_string)
if not m:
return None
pos = m.end()
while True:
m = re.search(pat, version_string[pos:])
if not m:
return None
if ignore and re.match(ignore, m.group(0)):
pos = m.end()
continue
break
return m.group(0)
return matcher
def CCompiler_get_version(self, force=False, ok_status=[0]):
"""
Return compiler version, or None if compiler is not available.
Parameters
----------
force : bool, optional
If True, force a new determination of the version, even if the
compiler already has a version attribute. Default is False.
ok_status : list of int, optional
The list of status values returned by the version look-up process
for which a version string is returned. If the status value is not
in `ok_status`, None is returned. Default is ``[0]``.
Returns
-------
version : str or None
Version string, in the format of `distutils.version.LooseVersion`.
"""
if not force and hasattr(self, 'version'):
return self.version
self.find_executables()
try:
version_cmd = self.version_cmd
except AttributeError:
return None
if not version_cmd or not version_cmd[0]:
return None
try:
matcher = self.version_match
except AttributeError:
try:
pat = self.version_pattern
except AttributeError:
return None
def matcher(version_string):
m = re.match(pat, version_string)
if not m:
return None
version = m.group('version')
return version
try:
output = subprocess.check_output(version_cmd, stderr=subprocess.STDOUT)
except subprocess.CalledProcessError as exc:
output = exc.output
status = exc.returncode
except OSError:
# match the historical returns for a parent
# exception class caught by exec_command()
status = 127
output = b''
else:
# output isn't actually a filepath but we do this
# for now to match previous distutils behavior
output = filepath_from_subprocess_output(output)
status = 0
version = None
if status in ok_status:
version = matcher(output)
if version:
version = LooseVersion(version)
self.version = version
return version
replace_method(CCompiler, 'get_version', CCompiler_get_version)
def CCompiler_cxx_compiler(self):
"""
Return the C++ compiler.
Parameters
----------
None
Returns
-------
cxx : class instance
The C++ compiler, as a `CCompiler` instance.
"""
if self.compiler_type in ('msvc', 'intelw', 'intelemw'):
return self
cxx = copy(self)
cxx.compiler_cxx = cxx.compiler_cxx
cxx.compiler_so = [cxx.compiler_cxx[0]] + \
sanitize_cxx_flags(cxx.compiler_so[1:])
if (sys.platform.startswith(('aix', 'os400')) and
'ld_so_aix' in cxx.linker_so[0]):
# AIX needs the ld_so_aix script included with Python
cxx.linker_so = [cxx.linker_so[0], cxx.compiler_cxx[0]] \
+ cxx.linker_so[2:]
if sys.platform.startswith('os400'):
#This is required by i 7.4 and prievous for PRId64 in printf() call.
cxx.compiler_so.append('-D__STDC_FORMAT_MACROS')
#This a bug of gcc10.3, which failed to handle the TLS init.
cxx.compiler_so.append('-fno-extern-tls-init')
cxx.linker_so.append('-fno-extern-tls-init')
else:
cxx.linker_so = [cxx.compiler_cxx[0]] + cxx.linker_so[1:]
return cxx
replace_method(CCompiler, 'cxx_compiler', CCompiler_cxx_compiler)
compiler_class['intel'] = ('intelccompiler', 'IntelCCompiler',
"Intel C Compiler for 32-bit applications")
compiler_class['intele'] = ('intelccompiler', 'IntelItaniumCCompiler',
"Intel C Itanium Compiler for Itanium-based applications")
compiler_class['intelem'] = ('intelccompiler', 'IntelEM64TCCompiler',
"Intel C Compiler for 64-bit applications")
compiler_class['intelw'] = ('intelccompiler', 'IntelCCompilerW',
"Intel C Compiler for 32-bit applications on Windows")
compiler_class['intelemw'] = ('intelccompiler', 'IntelEM64TCCompilerW',
"Intel C Compiler for 64-bit applications on Windows")
compiler_class['pathcc'] = ('pathccompiler', 'PathScaleCCompiler',
"PathScale Compiler for SiCortex-based applications")
compiler_class['arm'] = ('armccompiler', 'ArmCCompiler',
"Arm C Compiler")
ccompiler._default_compilers += (('linux.*', 'intel'),
('linux.*', 'intele'),
('linux.*', 'intelem'),
('linux.*', 'pathcc'),
('nt', 'intelw'),
('nt', 'intelemw'))
if sys.platform == 'win32':
compiler_class['mingw32'] = ('mingw32ccompiler', 'Mingw32CCompiler',
"Mingw32 port of GNU C Compiler for Win32"\
"(for MSC built Python)")
if mingw32():
# On windows platforms, we want to default to mingw32 (gcc)
# because msvc can't build blitz stuff.
log.info('Setting mingw32 as default compiler for nt.')
ccompiler._default_compilers = (('nt', 'mingw32'),) \
+ ccompiler._default_compilers
_distutils_new_compiler = new_compiler
def new_compiler (plat=None,
compiler=None,
verbose=None,
dry_run=0,
force=0):
# Try first C compilers from numpy.distutils.
if verbose is None:
verbose = log.get_threshold() <= log.INFO
if plat is None:
plat = os.name
try:
if compiler is None:
compiler = get_default_compiler(plat)
(module_name, class_name, long_description) = compiler_class[compiler]
except KeyError:
msg = "don't know how to compile C/C++ code on platform '%s'" % plat
if compiler is not None:
msg = msg + " with '%s' compiler" % compiler
raise DistutilsPlatformError(msg)
module_name = "numpy.distutils." + module_name
try:
__import__ (module_name)
except ImportError as e:
msg = str(e)
log.info('%s in numpy.distutils; trying from distutils',
str(msg))
module_name = module_name[6:]
try:
__import__(module_name)
except ImportError as e:
msg = str(e)
raise DistutilsModuleError("can't compile C/C++ code: unable to load module '%s'" % \
module_name)
try:
module = sys.modules[module_name]
klass = vars(module)[class_name]
except KeyError:
raise DistutilsModuleError(("can't compile C/C++ code: unable to find class '%s' " +
"in module '%s'") % (class_name, module_name))
compiler = klass(None, dry_run, force)
compiler.verbose = verbose
log.debug('new_compiler returns %s' % (klass))
return compiler
ccompiler.new_compiler = new_compiler
_distutils_gen_lib_options = gen_lib_options
def gen_lib_options(compiler, library_dirs, runtime_library_dirs, libraries):
# the version of this function provided by CPython allows the following
# to return lists, which are unpacked automatically:
# - compiler.runtime_library_dir_option
# our version extends the behavior to:
# - compiler.library_dir_option
# - compiler.library_option
# - compiler.find_library_file
r = _distutils_gen_lib_options(compiler, library_dirs,
runtime_library_dirs, libraries)
lib_opts = []
for i in r:
if is_sequence(i):
lib_opts.extend(list(i))
else:
lib_opts.append(i)
return lib_opts
ccompiler.gen_lib_options = gen_lib_options
# Also fix up the various compiler modules, which do
# from distutils.ccompiler import gen_lib_options
# Don't bother with mwerks, as we don't support Classic Mac.
for _cc in ['msvc9', 'msvc', '_msvc', 'bcpp', 'cygwinc', 'emxc', 'unixc']:
_m = sys.modules.get('distutils.' + _cc + 'compiler')
if _m is not None:
setattr(_m, 'gen_lib_options', gen_lib_options)
| 28,126 | Python | 33.511656 | 97 | 0.588246 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/lib2def.py | import re
import sys
import subprocess
__doc__ = """This module generates a DEF file from the symbols in
an MSVC-compiled DLL import library. It correctly discriminates between
data and functions. The data is collected from the output of the program
nm(1).
Usage:
python lib2def.py [libname.lib] [output.def]
or
python lib2def.py [libname.lib] > output.def
libname.lib defaults to python<py_ver>.lib and output.def defaults to stdout
Author: Robert Kern <[email protected]>
Last Update: April 30, 1999
"""
__version__ = '0.1a'
py_ver = "%d%d" % tuple(sys.version_info[:2])
DEFAULT_NM = ['nm', '-Cs']
DEF_HEADER = """LIBRARY python%s.dll
;CODE PRELOAD MOVEABLE DISCARDABLE
;DATA PRELOAD SINGLE
EXPORTS
""" % py_ver
# the header of the DEF file
FUNC_RE = re.compile(r"^(.*) in python%s\.dll" % py_ver, re.MULTILINE)
DATA_RE = re.compile(r"^_imp__(.*) in python%s\.dll" % py_ver, re.MULTILINE)
def parse_cmd():
"""Parses the command-line arguments.
libfile, deffile = parse_cmd()"""
if len(sys.argv) == 3:
if sys.argv[1][-4:] == '.lib' and sys.argv[2][-4:] == '.def':
libfile, deffile = sys.argv[1:]
elif sys.argv[1][-4:] == '.def' and sys.argv[2][-4:] == '.lib':
deffile, libfile = sys.argv[1:]
else:
print("I'm assuming that your first argument is the library")
print("and the second is the DEF file.")
elif len(sys.argv) == 2:
if sys.argv[1][-4:] == '.def':
deffile = sys.argv[1]
libfile = 'python%s.lib' % py_ver
elif sys.argv[1][-4:] == '.lib':
deffile = None
libfile = sys.argv[1]
else:
libfile = 'python%s.lib' % py_ver
deffile = None
return libfile, deffile
def getnm(nm_cmd=['nm', '-Cs', 'python%s.lib' % py_ver], shell=True):
"""Returns the output of nm_cmd via a pipe.
nm_output = getnm(nm_cmd = 'nm -Cs py_lib')"""
p = subprocess.Popen(nm_cmd, shell=shell, stdout=subprocess.PIPE,
stderr=subprocess.PIPE, universal_newlines=True)
nm_output, nm_err = p.communicate()
if p.returncode != 0:
raise RuntimeError('failed to run "%s": "%s"' % (
' '.join(nm_cmd), nm_err))
return nm_output
def parse_nm(nm_output):
"""Returns a tuple of lists: dlist for the list of data
symbols and flist for the list of function symbols.
dlist, flist = parse_nm(nm_output)"""
data = DATA_RE.findall(nm_output)
func = FUNC_RE.findall(nm_output)
flist = []
for sym in data:
if sym in func and (sym[:2] == 'Py' or sym[:3] == '_Py' or sym[:4] == 'init'):
flist.append(sym)
dlist = []
for sym in data:
if sym not in flist and (sym[:2] == 'Py' or sym[:3] == '_Py'):
dlist.append(sym)
dlist.sort()
flist.sort()
return dlist, flist
def output_def(dlist, flist, header, file = sys.stdout):
"""Outputs the final DEF file to a file defaulting to stdout.
output_def(dlist, flist, header, file = sys.stdout)"""
for data_sym in dlist:
header = header + '\t%s DATA\n' % data_sym
header = header + '\n' # blank line
for func_sym in flist:
header = header + '\t%s\n' % func_sym
file.write(header)
if __name__ == '__main__':
libfile, deffile = parse_cmd()
if deffile is None:
deffile = sys.stdout
else:
deffile = open(deffile, 'w')
nm_cmd = DEFAULT_NM + [str(libfile)]
nm_output = getnm(nm_cmd, shell=False)
dlist, flist = parse_nm(nm_output)
output_def(dlist, flist, DEF_HEADER, deffile)
| 3,644 | Python | 30.153846 | 86 | 0.587267 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/armccompiler.py | from __future__ import division, absolute_import, print_function
from distutils.unixccompiler import UnixCCompiler
class ArmCCompiler(UnixCCompiler):
"""
Arm compiler.
"""
compiler_type = 'arm'
cc_exe = 'armclang'
cxx_exe = 'armclang++'
def __init__(self, verbose=0, dry_run=0, force=0):
UnixCCompiler.__init__(self, verbose, dry_run, force)
cc_compiler = self.cc_exe
cxx_compiler = self.cxx_exe
self.set_executables(compiler=cc_compiler +
' -O3 -fPIC',
compiler_so=cc_compiler +
' -O3 -fPIC',
compiler_cxx=cxx_compiler +
' -O3 -fPIC',
linker_exe=cc_compiler +
' -lamath',
linker_so=cc_compiler +
' -lamath -shared')
| 1,043 | Python | 34.999999 | 79 | 0.422819 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/line_endings.py | """ Functions for converting from DOS to UNIX line endings
"""
import os
import re
import sys
def dos2unix(file):
"Replace CRLF with LF in argument files. Print names of changed files."
if os.path.isdir(file):
print(file, "Directory!")
return
with open(file, "rb") as fp:
data = fp.read()
if '\0' in data:
print(file, "Binary!")
return
newdata = re.sub("\r\n", "\n", data)
if newdata != data:
print('dos2unix:', file)
with open(file, "wb") as f:
f.write(newdata)
return file
else:
print(file, 'ok')
def dos2unix_one_dir(modified_files, dir_name, file_names):
for file in file_names:
full_path = os.path.join(dir_name, file)
file = dos2unix(full_path)
if file is not None:
modified_files.append(file)
def dos2unix_dir(dir_name):
modified_files = []
os.path.walk(dir_name, dos2unix_one_dir, modified_files)
return modified_files
#----------------------------------
def unix2dos(file):
"Replace LF with CRLF in argument files. Print names of changed files."
if os.path.isdir(file):
print(file, "Directory!")
return
with open(file, "rb") as fp:
data = fp.read()
if '\0' in data:
print(file, "Binary!")
return
newdata = re.sub("\r\n", "\n", data)
newdata = re.sub("\n", "\r\n", newdata)
if newdata != data:
print('unix2dos:', file)
with open(file, "wb") as f:
f.write(newdata)
return file
else:
print(file, 'ok')
def unix2dos_one_dir(modified_files, dir_name, file_names):
for file in file_names:
full_path = os.path.join(dir_name, file)
unix2dos(full_path)
if file is not None:
modified_files.append(file)
def unix2dos_dir(dir_name):
modified_files = []
os.path.walk(dir_name, unix2dos_one_dir, modified_files)
return modified_files
if __name__ == "__main__":
dos2unix_dir(sys.argv[1])
| 2,032 | Python | 25.064102 | 76 | 0.57185 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/extra_avx512bw_mask.c | #include <immintrin.h>
/**
* Test BW mask operations due to:
* - MSVC has supported it since vs2019 see,
* https://developercommunity.visualstudio.com/content/problem/518298/missing-avx512bw-mask-intrinsics.html
* - Clang >= v8.0
* - GCC >= v7.1
*/
int main(void)
{
__mmask64 m64 = _mm512_cmpeq_epi8_mask(_mm512_set1_epi8((char)1), _mm512_set1_epi8((char)1));
m64 = _kor_mask64(m64, m64);
m64 = _kxor_mask64(m64, m64);
m64 = _cvtu64_mask64(_cvtmask64_u64(m64));
m64 = _mm512_kunpackd(m64, m64);
m64 = (__mmask64)_mm512_kunpackw((__mmask32)m64, (__mmask32)m64);
return (int)_cvtmask64_u64(m64);
}
| 636 | C | 32.526314 | 110 | 0.644654 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_sse2.c | #if defined(DETECT_FEATURES) && defined(__INTEL_COMPILER)
/*
* Unlike GCC and CLANG, Intel Compiler exposes all supported intrinsics,
* whether or not the build options for those features are specified.
* Therefore, we must test #definitions of CPU features when option native/host
* is enabled via `--cpu-baseline` or through env var `CFLAGS` otherwise
* the test will be broken and leads to enable all possible features.
*/
#ifndef __SSE2__
#error "HOST/ARCH doesn't support SSE2"
#endif
#endif
#include <emmintrin.h>
int main(void)
{
__m128i a = _mm_add_epi16(_mm_setzero_si128(), _mm_setzero_si128());
return _mm_cvtsi128_si32(a);
}
| 697 | C | 32.238094 | 83 | 0.674319 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_vxe2.c | #if (__VEC__ < 10303) || (__ARCH__ < 13)
#error VXE2 not supported
#endif
#include <vecintrin.h>
int main(int argc, char **argv)
{
int val;
__vector signed short large = { 'a', 'b', 'c', 'a', 'g', 'h', 'g', 'o' };
__vector signed short search = { 'g', 'h', 'g', 'o' };
__vector unsigned char len = { 0 };
__vector unsigned char res = vec_search_string_cc(large, search, len, &val);
__vector float x = vec_xl(argc, (float*)argv);
__vector int i = vec_signed(x);
i = vec_srdb(vec_sldb(i, i, 2), i, 3);
val += (int)vec_extract(res, 1);
val += vec_extract(i, 0);
return val;
}
| 624 | C | 27.40909 | 80 | 0.536859 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_ssse3.c | #if defined(DETECT_FEATURES) && defined(__INTEL_COMPILER)
/*
* Unlike GCC and CLANG, Intel Compiler exposes all supported intrinsics,
* whether or not the build options for those features are specified.
* Therefore, we must test #definitions of CPU features when option native/host
* is enabled via `--cpu-baseline` or through env var `CFLAGS` otherwise
* the test will be broken and leads to enable all possible features.
*/
#ifndef __SSSE3__
#error "HOST/ARCH doesn't support SSSE3"
#endif
#endif
#include <tmmintrin.h>
int main(void)
{
__m128i a = _mm_hadd_epi16(_mm_setzero_si128(), _mm_setzero_si128());
return (int)_mm_cvtsi128_si32(a);
}
| 705 | C | 32.619046 | 83 | 0.675177 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_neon_vfpv4.c | #ifdef _MSC_VER
#include <Intrin.h>
#endif
#include <arm_neon.h>
int main(int argc, char **argv)
{
float *src = (float*)argv[argc-1];
float32x4_t v1 = vdupq_n_f32(src[0]);
float32x4_t v2 = vdupq_n_f32(src[1]);
float32x4_t v3 = vdupq_n_f32(src[2]);
int ret = (int)vgetq_lane_f32(vfmaq_f32(v1, v2, v3), 0);
#ifdef __aarch64__
double *src2 = (double*)argv[argc-2];
float64x2_t vd1 = vdupq_n_f64(src2[0]);
float64x2_t vd2 = vdupq_n_f64(src2[1]);
float64x2_t vd3 = vdupq_n_f64(src2[2]);
ret += (int)vgetq_lane_f64(vfmaq_f64(vd1, vd2, vd3), 0);
#endif
return ret;
}
| 609 | C | 26.727272 | 60 | 0.604269 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_avx512_skx.c | #if defined(DETECT_FEATURES) && defined(__INTEL_COMPILER)
/*
* Unlike GCC and CLANG, Intel Compiler exposes all supported intrinsics,
* whether or not the build options for those features are specified.
* Therefore, we must test #definitions of CPU features when option native/host
* is enabled via `--cpu-baseline` or through env var `CFLAGS` otherwise
* the test will be broken and leads to enable all possible features.
*/
#if !defined(__AVX512VL__) || !defined(__AVX512BW__) || !defined(__AVX512DQ__)
#error "HOST/ARCH doesn't support SkyLake AVX512 features"
#endif
#endif
#include <immintrin.h>
int main(int argc, char **argv)
{
__m512i aa = _mm512_abs_epi32(_mm512_loadu_si512((const __m512i*)argv[argc-1]));
/* VL */
__m256i a = _mm256_abs_epi64(_mm512_extracti64x4_epi64(aa, 1));
/* DQ */
__m512i b = _mm512_broadcast_i32x8(a);
/* BW */
b = _mm512_abs_epi16(b);
return _mm_cvtsi128_si32(_mm512_castsi512_si128(b));
}
| 1,010 | C | 36.444443 | 84 | 0.648515 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_neon_fp16.c | #ifdef _MSC_VER
#include <Intrin.h>
#endif
#include <arm_neon.h>
int main(int argc, char **argv)
{
short *src = (short*)argv[argc-1];
float32x4_t v_z4 = vcvt_f32_f16((float16x4_t)vld1_s16(src));
return (int)vgetq_lane_f32(v_z4, 0);
}
| 251 | C | 19.999998 | 64 | 0.625498 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_avx512_cnl.c | #if defined(DETECT_FEATURES) && defined(__INTEL_COMPILER)
/*
* Unlike GCC and CLANG, Intel Compiler exposes all supported intrinsics,
* whether or not the build options for those features are specified.
* Therefore, we must test #definitions of CPU features when option native/host
* is enabled via `--cpu-baseline` or through env var `CFLAGS` otherwise
* the test will be broken and leads to enable all possible features.
*/
#if !defined(__AVX512VBMI__) || !defined(__AVX512IFMA__)
#error "HOST/ARCH doesn't support CannonLake AVX512 features"
#endif
#endif
#include <immintrin.h>
int main(int argc, char **argv)
{
__m512i a = _mm512_loadu_si512((const __m512i*)argv[argc-1]);
/* IFMA */
a = _mm512_madd52hi_epu64(a, a, _mm512_setzero_si512());
/* VMBI */
a = _mm512_permutex2var_epi8(a, _mm512_setzero_si512(), a);
return _mm_cvtsi128_si32(_mm512_castsi512_si128(a));
}
| 948 | C | 36.959999 | 83 | 0.663502 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_xop.c | #include <immintrin.h>
#ifdef _MSC_VER
#include <ammintrin.h>
#else
#include <x86intrin.h>
#endif
int main(void)
{
__m128i a = _mm_comge_epu32(_mm_setzero_si128(), _mm_setzero_si128());
return _mm_cvtsi128_si32(a);
}
| 234 | C | 17.076922 | 74 | 0.636752 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_vsx4.c | #ifndef __VSX__
#error "VSX is not supported"
#endif
#include <altivec.h>
typedef __vector unsigned int v_uint32x4;
int main(void)
{
v_uint32x4 v1 = (v_uint32x4){2, 4, 8, 16};
v_uint32x4 v2 = (v_uint32x4){2, 2, 2, 2};
v_uint32x4 v3 = vec_mod(v1, v2);
return (int)vec_extractm(v3);
}
| 305 | C | 19.399999 | 46 | 0.613115 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_vsx3.c | #ifndef __VSX__
#error "VSX is not supported"
#endif
#include <altivec.h>
typedef __vector unsigned int v_uint32x4;
int main(void)
{
v_uint32x4 z4 = (v_uint32x4){0, 0, 0, 0};
z4 = vec_absd(z4, z4);
return (int)vec_extract(z4, 0);
}
| 250 | C | 16.92857 | 45 | 0.616 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_asimdhp.c | #ifdef _MSC_VER
#include <Intrin.h>
#endif
#include <arm_neon.h>
int main(int argc, char **argv)
{
float16_t *src = (float16_t*)argv[argc-1];
float16x8_t vhp = vdupq_n_f16(src[0]);
float16x4_t vlhp = vdup_n_f16(src[1]);
int ret = (int)vgetq_lane_f16(vabdq_f16(vhp, vhp), 0);
ret += (int)vget_lane_f16(vabd_f16(vlhp, vlhp), 0);
return ret;
}
| 379 | C | 22.749999 | 60 | 0.593668 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_avx2.c | #if defined(DETECT_FEATURES) && defined(__INTEL_COMPILER)
/*
* Unlike GCC and CLANG, Intel Compiler exposes all supported intrinsics,
* whether or not the build options for those features are specified.
* Therefore, we must test #definitions of CPU features when option native/host
* is enabled via `--cpu-baseline` or through env var `CFLAGS` otherwise
* the test will be broken and leads to enable all possible features.
*/
#ifndef __AVX2__
#error "HOST/ARCH doesn't support AVX2"
#endif
#endif
#include <immintrin.h>
int main(int argc, char **argv)
{
__m256i a = _mm256_abs_epi16(_mm256_loadu_si256((const __m256i*)argv[argc-1]));
return _mm_cvtsi128_si32(_mm256_castsi256_si128(a));
}
| 749 | C | 34.714284 | 83 | 0.679573 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_avx512_knl.c | #if defined(DETECT_FEATURES) && defined(__INTEL_COMPILER)
/*
* Unlike GCC and CLANG, Intel Compiler exposes all supported intrinsics,
* whether or not the build options for those features are specified.
* Therefore, we must test #definitions of CPU features when option native/host
* is enabled via `--cpu-baseline` or through env var `CFLAGS` otherwise
* the test will be broken and leads to enable all possible features.
*/
#if !defined(__AVX512ER__) || !defined(__AVX512PF__)
#error "HOST/ARCH doesn't support Knights Landing AVX512 features"
#endif
#endif
#include <immintrin.h>
int main(int argc, char **argv)
{
int base[128];
__m512d ad = _mm512_loadu_pd((const __m512d*)argv[argc-1]);
/* ER */
__m512i a = _mm512_castpd_si512(_mm512_exp2a23_pd(ad));
/* PF */
_mm512_mask_prefetch_i64scatter_pd(base, _mm512_cmpeq_epi64_mask(a, a), a, 1, _MM_HINT_T1);
return base[0];
}
| 956 | C | 35.807691 | 95 | 0.655858 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_popcnt.c | #if defined(DETECT_FEATURES) && defined(__INTEL_COMPILER)
/*
* Unlike GCC and CLANG, Intel Compiler exposes all supported intrinsics,
* whether or not the build options for those features are specified.
* Therefore, we must test #definitions of CPU features when option native/host
* is enabled via `--cpu-baseline` or through env vr `CFLAGS` otherwise
* the test will be broken and leads to enable all possible features.
*/
#if !defined(__SSE4_2__) && !defined(__POPCNT__)
#error "HOST/ARCH doesn't support POPCNT"
#endif
#endif
#ifdef _MSC_VER
#include <nmmintrin.h>
#else
#include <popcntintrin.h>
#endif
int main(int argc, char **argv)
{
// To make sure popcnt instructions are generated
// and been tested against the assembler
unsigned long long a = *((unsigned long long*)argv[argc-1]);
unsigned int b = *((unsigned int*)argv[argc-2]);
#if defined(_M_X64) || defined(__x86_64__)
a = _mm_popcnt_u64(a);
#endif
b = _mm_popcnt_u32(b);
return (int)a + b;
}
| 1,049 | C | 30.818181 | 83 | 0.654909 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_asimdfhm.c | #ifdef _MSC_VER
#include <Intrin.h>
#endif
#include <arm_neon.h>
int main(int argc, char **argv)
{
float16_t *src = (float16_t*)argv[argc-1];
float *src2 = (float*)argv[argc-2];
float16x8_t vhp = vdupq_n_f16(src[0]);
float16x4_t vlhp = vdup_n_f16(src[1]);
float32x4_t vf = vdupq_n_f32(src2[0]);
float32x2_t vlf = vdup_n_f32(src2[1]);
int ret = (int)vget_lane_f32(vfmlal_low_f16(vlf, vlhp, vlhp), 0);
ret += (int)vgetq_lane_f32(vfmlslq_high_f16(vf, vhp, vhp), 0);
return ret;
}
| 529 | C | 25.499999 | 70 | 0.597353 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_fma4.c | #include <immintrin.h>
#ifdef _MSC_VER
#include <ammintrin.h>
#else
#include <x86intrin.h>
#endif
int main(int argc, char **argv)
{
__m256 a = _mm256_loadu_ps((const float*)argv[argc-1]);
a = _mm256_macc_ps(a, a, a);
return (int)_mm_cvtss_f32(_mm256_castps256_ps128(a));
}
| 301 | C | 20.571427 | 59 | 0.607973 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/extra_avx512f_reduce.c | #include <immintrin.h>
/**
* The following intrinsics don't have direct native support but compilers
* tend to emulate them.
* They're usually supported by gcc >= 7.1, clang >= 4 and icc >= 19
*/
int main(void)
{
__m512 one_ps = _mm512_set1_ps(1.0f);
__m512d one_pd = _mm512_set1_pd(1.0);
__m512i one_i64 = _mm512_set1_epi64(1);
// add
float sum_ps = _mm512_reduce_add_ps(one_ps);
double sum_pd = _mm512_reduce_add_pd(one_pd);
int sum_int = (int)_mm512_reduce_add_epi64(one_i64);
sum_int += (int)_mm512_reduce_add_epi32(one_i64);
// mul
sum_ps += _mm512_reduce_mul_ps(one_ps);
sum_pd += _mm512_reduce_mul_pd(one_pd);
sum_int += (int)_mm512_reduce_mul_epi64(one_i64);
sum_int += (int)_mm512_reduce_mul_epi32(one_i64);
// min
sum_ps += _mm512_reduce_min_ps(one_ps);
sum_pd += _mm512_reduce_min_pd(one_pd);
sum_int += (int)_mm512_reduce_min_epi32(one_i64);
sum_int += (int)_mm512_reduce_min_epu32(one_i64);
sum_int += (int)_mm512_reduce_min_epi64(one_i64);
// max
sum_ps += _mm512_reduce_max_ps(one_ps);
sum_pd += _mm512_reduce_max_pd(one_pd);
sum_int += (int)_mm512_reduce_max_epi32(one_i64);
sum_int += (int)_mm512_reduce_max_epu32(one_i64);
sum_int += (int)_mm512_reduce_max_epi64(one_i64);
// and
sum_int += (int)_mm512_reduce_and_epi32(one_i64);
sum_int += (int)_mm512_reduce_and_epi64(one_i64);
// or
sum_int += (int)_mm512_reduce_or_epi32(one_i64);
sum_int += (int)_mm512_reduce_or_epi64(one_i64);
return (int)sum_ps + (int)sum_pd + sum_int;
}
| 1,595 | C | 36.999999 | 74 | 0.603135 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_vsx2.c | #ifndef __VSX__
#error "VSX is not supported"
#endif
#include <altivec.h>
typedef __vector unsigned long long v_uint64x2;
int main(void)
{
v_uint64x2 z2 = (v_uint64x2){0, 0};
z2 = (v_uint64x2)vec_cmpeq(z2, z2);
return (int)vec_extract(z2, 0);
}
| 263 | C | 17.857142 | 47 | 0.634981 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/extra_vsx_asm.c | /**
* Testing ASM VSX register number fixer '%x<n>'
*
* old versions of CLANG doesn't support %x<n> in the inline asm template
* which fixes register number when using any of the register constraints wa, wd, wf.
*
* xref:
* - https://bugs.llvm.org/show_bug.cgi?id=31837
* - https://gcc.gnu.org/onlinedocs/gcc/Machine-Constraints.html
*/
#ifndef __VSX__
#error "VSX is not supported"
#endif
#include <altivec.h>
#if (defined(__GNUC__) && !defined(vec_xl)) || (defined(__clang__) && !defined(__IBMC__))
#define vsx_ld vec_vsx_ld
#define vsx_st vec_vsx_st
#else
#define vsx_ld vec_xl
#define vsx_st vec_xst
#endif
int main(void)
{
float z4[] = {0, 0, 0, 0};
signed int zout[] = {0, 0, 0, 0};
__vector float vz4 = vsx_ld(0, z4);
__vector signed int asm_ret = vsx_ld(0, zout);
__asm__ ("xvcvspsxws %x0,%x1" : "=wa" (vz4) : "wa" (asm_ret));
vsx_st(asm_ret, 0, zout);
return zout[0];
}
| 945 | C | 24.567567 | 89 | 0.602116 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/extra_avx512dq_mask.c | #include <immintrin.h>
/**
* Test DQ mask operations due to:
* - MSVC has supported it since vs2019 see,
* https://developercommunity.visualstudio.com/content/problem/518298/missing-avx512bw-mask-intrinsics.html
* - Clang >= v8.0
* - GCC >= v7.1
*/
int main(void)
{
__mmask8 m8 = _mm512_cmpeq_epi64_mask(_mm512_set1_epi64(1), _mm512_set1_epi64(1));
m8 = _kor_mask8(m8, m8);
m8 = _kxor_mask8(m8, m8);
m8 = _cvtu32_mask8(_cvtmask8_u32(m8));
return (int)_cvtmask8_u32(m8);
}
| 504 | C | 28.705881 | 110 | 0.642857 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_asimd.c | #ifdef _MSC_VER
#include <Intrin.h>
#endif
#include <arm_neon.h>
int main(int argc, char **argv)
{
float *src = (float*)argv[argc-1];
float32x4_t v1 = vdupq_n_f32(src[0]), v2 = vdupq_n_f32(src[1]);
/* MAXMIN */
int ret = (int)vgetq_lane_f32(vmaxnmq_f32(v1, v2), 0);
ret += (int)vgetq_lane_f32(vminnmq_f32(v1, v2), 0);
/* ROUNDING */
ret += (int)vgetq_lane_f32(vrndq_f32(v1), 0);
#ifdef __aarch64__
{
double *src2 = (double*)argv[argc-1];
float64x2_t vd1 = vdupq_n_f64(src2[0]), vd2 = vdupq_n_f64(src2[1]);
/* MAXMIN */
ret += (int)vgetq_lane_f64(vmaxnmq_f64(vd1, vd2), 0);
ret += (int)vgetq_lane_f64(vminnmq_f64(vd1, vd2), 0);
/* ROUNDING */
ret += (int)vgetq_lane_f64(vrndq_f64(vd1), 0);
}
#endif
return ret;
}
| 818 | C | 28.249999 | 75 | 0.550122 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_asimddp.c | #ifdef _MSC_VER
#include <Intrin.h>
#endif
#include <arm_neon.h>
int main(int argc, char **argv)
{
unsigned char *src = (unsigned char*)argv[argc-1];
uint8x16_t v1 = vdupq_n_u8(src[0]), v2 = vdupq_n_u8(src[1]);
uint32x4_t va = vdupq_n_u32(3);
int ret = (int)vgetq_lane_u32(vdotq_u32(va, v1, v2), 0);
#ifdef __aarch64__
ret += (int)vgetq_lane_u32(vdotq_laneq_u32(va, v1, v2, 0), 0);
#endif
return ret;
}
| 432 | C | 24.470587 | 66 | 0.606481 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_neon.c | #ifdef _MSC_VER
#include <Intrin.h>
#endif
#include <arm_neon.h>
int main(int argc, char **argv)
{
// passing from untraced pointers to avoid optimizing out any constants
// so we can test against the linker.
float *src = (float*)argv[argc-1];
float32x4_t v1 = vdupq_n_f32(src[0]), v2 = vdupq_n_f32(src[1]);
int ret = (int)vgetq_lane_f32(vmulq_f32(v1, v2), 0);
#ifdef __aarch64__
double *src2 = (double*)argv[argc-2];
float64x2_t vd1 = vdupq_n_f64(src2[0]), vd2 = vdupq_n_f64(src2[1]);
ret += (int)vgetq_lane_f64(vmulq_f64(vd1, vd2), 0);
#endif
return ret;
}
| 600 | C | 29.049999 | 75 | 0.628333 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_vx.c | #if (__VEC__ < 10301) || (__ARCH__ < 11)
#error VX not supported
#endif
#include <vecintrin.h>
int main(int argc, char **argv)
{
__vector double x = vec_abs(vec_xl(argc, (double*)argv));
__vector double y = vec_load_len((double*)argv, (unsigned int)argc);
x = vec_round(vec_ceil(x) + vec_floor(y));
__vector bool long long m = vec_cmpge(x, y);
__vector long long i = vec_signed(vec_sel(x, y, m));
return (int)vec_extract(i, 0);
}
| 461 | C | 26.176469 | 72 | 0.59436 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/extra_vsx4_mma.c | #ifndef __VSX__
#error "VSX is not supported"
#endif
#include <altivec.h>
typedef __vector float fv4sf_t;
typedef __vector unsigned char vec_t;
int main(void)
{
__vector_quad acc0;
float a[4] = {0,1,2,3};
float b[4] = {0,1,2,3};
vec_t *va = (vec_t *) a;
vec_t *vb = (vec_t *) b;
__builtin_mma_xvf32ger(&acc0, va[0], vb[0]);
fv4sf_t result[4];
__builtin_mma_disassemble_acc((void *)result, &acc0);
fv4sf_t c0 = result[0];
return (int)((float*)&c0)[0];
}
| 499 | C | 21.727272 | 57 | 0.569138 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_avx512_knm.c | #if defined(DETECT_FEATURES) && defined(__INTEL_COMPILER)
/*
* Unlike GCC and CLANG, Intel Compiler exposes all supported intrinsics,
* whether or not the build options for those features are specified.
* Therefore, we must test #definitions of CPU features when option native/host
* is enabled via `--cpu-baseline` or through env var `CFLAGS` otherwise
* the test will be broken and leads to enable all possible features.
*/
#if !defined(__AVX5124FMAPS__) || !defined(__AVX5124VNNIW__) || !defined(__AVX512VPOPCNTDQ__)
#error "HOST/ARCH doesn't support Knights Mill AVX512 features"
#endif
#endif
#include <immintrin.h>
int main(int argc, char **argv)
{
__m512i a = _mm512_loadu_si512((const __m512i*)argv[argc-1]);
__m512 b = _mm512_loadu_ps((const __m512*)argv[argc-2]);
/* 4FMAPS */
b = _mm512_4fmadd_ps(b, b, b, b, b, NULL);
/* 4VNNIW */
a = _mm512_4dpwssd_epi32(a, a, a, a, a, NULL);
/* VPOPCNTDQ */
a = _mm512_popcnt_epi64(a);
a = _mm512_add_epi32(a, _mm512_castps_si512(b));
return _mm_cvtsi128_si32(_mm512_castsi512_si128(a));
}
| 1,132 | C | 35.548386 | 97 | 0.640459 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_vxe.c | #if (__VEC__ < 10302) || (__ARCH__ < 12)
#error VXE not supported
#endif
#include <vecintrin.h>
int main(int argc, char **argv)
{
__vector float x = vec_nabs(vec_xl(argc, (float*)argv));
__vector float y = vec_load_len((float*)argv, (unsigned int)argc);
x = vec_round(vec_ceil(x) + vec_floor(y));
__vector bool int m = vec_cmpge(x, y);
x = vec_sel(x, y, m);
// need to test the existence of intrin "vflls" since vec_doublee
// is vec_doublee maps to wrong intrin "vfll".
// see https://gcc.gnu.org/bugzilla/show_bug.cgi?id=100871
#if defined(__GNUC__) && !defined(__clang__)
__vector long long i = vec_signed(__builtin_s390_vflls(x));
#else
__vector long long i = vec_signed(vec_doublee(x));
#endif
return (int)vec_extract(i, 0);
}
| 788 | C | 29.346153 | 70 | 0.609137 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/checks/cpu_vsx.c | #ifndef __VSX__
#error "VSX is not supported"
#endif
#include <altivec.h>
#if (defined(__GNUC__) && !defined(vec_xl)) || (defined(__clang__) && !defined(__IBMC__))
#define vsx_ld vec_vsx_ld
#define vsx_st vec_vsx_st
#else
#define vsx_ld vec_xl
#define vsx_st vec_xst
#endif
int main(void)
{
unsigned int zout[4];
unsigned int z4[] = {0, 0, 0, 0};
__vector unsigned int v_z4 = vsx_ld(0, z4);
vsx_st(v_z4, 0, zout);
return zout[0];
}
| 478 | C | 20.772726 | 89 | 0.575314 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/mingw/gfortran_vs2003_hack.c | int _get_output_format(void)
{
return 0;
}
int _imp____lc_codepage = 0;
| 77 | C | 10.142856 | 28 | 0.597403 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/compaq.py |
#http://www.compaq.com/fortran/docs/
import os
import sys
from numpy.distutils.fcompiler import FCompiler
from distutils.errors import DistutilsPlatformError
compilers = ['CompaqFCompiler']
if os.name != 'posix' or sys.platform[:6] == 'cygwin' :
# Otherwise we'd get a false positive on posix systems with
# case-insensitive filesystems (like darwin), because we'll pick
# up /bin/df
compilers.append('CompaqVisualFCompiler')
class CompaqFCompiler(FCompiler):
compiler_type = 'compaq'
description = 'Compaq Fortran Compiler'
version_pattern = r'Compaq Fortran (?P<version>[^\s]*).*'
if sys.platform[:5]=='linux':
fc_exe = 'fort'
else:
fc_exe = 'f90'
executables = {
'version_cmd' : ['<F90>', "-version"],
'compiler_f77' : [fc_exe, "-f77rtl", "-fixed"],
'compiler_fix' : [fc_exe, "-fixed"],
'compiler_f90' : [fc_exe],
'linker_so' : ['<F90>'],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
module_dir_switch = '-module ' # not tested
module_include_switch = '-I'
def get_flags(self):
return ['-assume no2underscore', '-nomixed_str_len_arg']
def get_flags_debug(self):
return ['-g', '-check bounds']
def get_flags_opt(self):
return ['-O4', '-align dcommons', '-assume bigarrays',
'-assume nozsize', '-math_library fast']
def get_flags_arch(self):
return ['-arch host', '-tune host']
def get_flags_linker_so(self):
if sys.platform[:5]=='linux':
return ['-shared']
return ['-shared', '-Wl,-expect_unresolved,*']
class CompaqVisualFCompiler(FCompiler):
compiler_type = 'compaqv'
description = 'DIGITAL or Compaq Visual Fortran Compiler'
version_pattern = (r'(DIGITAL|Compaq) Visual Fortran Optimizing Compiler'
r' Version (?P<version>[^\s]*).*')
compile_switch = '/compile_only'
object_switch = '/object:'
library_switch = '/OUT:' #No space after /OUT:!
static_lib_extension = ".lib"
static_lib_format = "%s%s"
module_dir_switch = '/module:'
module_include_switch = '/I'
ar_exe = 'lib.exe'
fc_exe = 'DF'
if sys.platform=='win32':
from numpy.distutils.msvccompiler import MSVCCompiler
try:
m = MSVCCompiler()
m.initialize()
ar_exe = m.lib
except DistutilsPlatformError:
pass
except AttributeError as e:
if '_MSVCCompiler__root' in str(e):
print('Ignoring "%s" (I think it is msvccompiler.py bug)' % (e))
else:
raise
except OSError as e:
if not "vcvarsall.bat" in str(e):
print("Unexpected OSError in", __file__)
raise
except ValueError as e:
if not "'path'" in str(e):
print("Unexpected ValueError in", __file__)
raise
executables = {
'version_cmd' : ['<F90>', "/what"],
'compiler_f77' : [fc_exe, "/f77rtl", "/fixed"],
'compiler_fix' : [fc_exe, "/fixed"],
'compiler_f90' : [fc_exe],
'linker_so' : ['<F90>'],
'archiver' : [ar_exe, "/OUT:"],
'ranlib' : None
}
def get_flags(self):
return ['/nologo', '/MD', '/WX', '/iface=(cref,nomixed_str_len_arg)',
'/names:lowercase', '/assume:underscore']
def get_flags_opt(self):
return ['/Ox', '/fast', '/optimize:5', '/unroll:0', '/math_library:fast']
def get_flags_arch(self):
return ['/threads']
def get_flags_debug(self):
return ['/debug']
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
from numpy.distutils import customized_fcompiler
print(customized_fcompiler(compiler='compaq').get_version())
| 3,903 | Python | 31.264463 | 81 | 0.555214 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/pathf95.py | from numpy.distutils.fcompiler import FCompiler
compilers = ['PathScaleFCompiler']
class PathScaleFCompiler(FCompiler):
compiler_type = 'pathf95'
description = 'PathScale Fortran Compiler'
version_pattern = r'PathScale\(TM\) Compiler Suite: Version (?P<version>[\d.]+)'
executables = {
'version_cmd' : ["pathf95", "-version"],
'compiler_f77' : ["pathf95", "-fixedform"],
'compiler_fix' : ["pathf95", "-fixedform"],
'compiler_f90' : ["pathf95"],
'linker_so' : ["pathf95", "-shared"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
pic_flags = ['-fPIC']
module_dir_switch = '-module ' # Don't remove ending space!
module_include_switch = '-I'
def get_flags_opt(self):
return ['-O3']
def get_flags_debug(self):
return ['-g']
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
from numpy.distutils import customized_fcompiler
print(customized_fcompiler(compiler='pathf95').get_version())
| 1,061 | Python | 30.235293 | 85 | 0.592837 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/environment.py | import os
from distutils.dist import Distribution
__metaclass__ = type
class EnvironmentConfig:
def __init__(self, distutils_section='ALL', **kw):
self._distutils_section = distutils_section
self._conf_keys = kw
self._conf = None
self._hook_handler = None
def dump_variable(self, name):
conf_desc = self._conf_keys[name]
hook, envvar, confvar, convert, append = conf_desc
if not convert:
convert = lambda x : x
print('%s.%s:' % (self._distutils_section, name))
v = self._hook_handler(name, hook)
print(' hook : %s' % (convert(v),))
if envvar:
v = os.environ.get(envvar, None)
print(' environ: %s' % (convert(v),))
if confvar and self._conf:
v = self._conf.get(confvar, (None, None))[1]
print(' config : %s' % (convert(v),))
def dump_variables(self):
for name in self._conf_keys:
self.dump_variable(name)
def __getattr__(self, name):
try:
conf_desc = self._conf_keys[name]
except KeyError:
raise AttributeError(
f"'EnvironmentConfig' object has no attribute '{name}'"
) from None
return self._get_var(name, conf_desc)
def get(self, name, default=None):
try:
conf_desc = self._conf_keys[name]
except KeyError:
return default
var = self._get_var(name, conf_desc)
if var is None:
var = default
return var
def _get_var(self, name, conf_desc):
hook, envvar, confvar, convert, append = conf_desc
if convert is None:
convert = lambda x: x
var = self._hook_handler(name, hook)
if envvar is not None:
envvar_contents = os.environ.get(envvar)
if envvar_contents is not None:
envvar_contents = convert(envvar_contents)
if var and append:
if os.environ.get('NPY_DISTUTILS_APPEND_FLAGS', '1') == '1':
var.extend(envvar_contents)
else:
# NPY_DISTUTILS_APPEND_FLAGS was explicitly set to 0
# to keep old (overwrite flags rather than append to
# them) behavior
var = envvar_contents
else:
var = envvar_contents
if confvar is not None and self._conf:
if confvar in self._conf:
source, confvar_contents = self._conf[confvar]
var = convert(confvar_contents)
return var
def clone(self, hook_handler):
ec = self.__class__(distutils_section=self._distutils_section,
**self._conf_keys)
ec._hook_handler = hook_handler
return ec
def use_distribution(self, dist):
if isinstance(dist, Distribution):
self._conf = dist.get_option_dict(self._distutils_section)
else:
self._conf = dist
| 3,080 | Python | 33.617977 | 80 | 0.530844 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/sun.py | from numpy.distutils.ccompiler import simple_version_match
from numpy.distutils.fcompiler import FCompiler
compilers = ['SunFCompiler']
class SunFCompiler(FCompiler):
compiler_type = 'sun'
description = 'Sun or Forte Fortran 95 Compiler'
# ex:
# f90: Sun WorkShop 6 update 2 Fortran 95 6.2 Patch 111690-10 2003/08/28
version_match = simple_version_match(
start=r'f9[05]: (Sun|Forte|WorkShop).*Fortran 95')
executables = {
'version_cmd' : ["<F90>", "-V"],
'compiler_f77' : ["f90"],
'compiler_fix' : ["f90", "-fixed"],
'compiler_f90' : ["f90"],
'linker_so' : ["<F90>", "-Bdynamic", "-G"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
module_dir_switch = '-moddir='
module_include_switch = '-M'
pic_flags = ['-xcode=pic32']
def get_flags_f77(self):
ret = ["-ftrap=%none"]
if (self.get_version() or '') >= '7':
ret.append("-f77")
else:
ret.append("-fixed")
return ret
def get_opt(self):
return ['-fast', '-dalign']
def get_arch(self):
return ['-xtarget=generic']
def get_libraries(self):
opt = []
opt.extend(['fsu', 'sunmath', 'mvec'])
return opt
def runtime_library_dir_option(self, dir):
return '-R%s' % dir
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
from numpy.distutils import customized_fcompiler
print(customized_fcompiler(compiler='sun').get_version())
| 1,577 | Python | 29.346153 | 76 | 0.554217 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/mips.py | from numpy.distutils.cpuinfo import cpu
from numpy.distutils.fcompiler import FCompiler
compilers = ['MIPSFCompiler']
class MIPSFCompiler(FCompiler):
compiler_type = 'mips'
description = 'MIPSpro Fortran Compiler'
version_pattern = r'MIPSpro Compilers: Version (?P<version>[^\s*,]*)'
executables = {
'version_cmd' : ["<F90>", "-version"],
'compiler_f77' : ["f77", "-f77"],
'compiler_fix' : ["f90", "-fixedform"],
'compiler_f90' : ["f90"],
'linker_so' : ["f90", "-shared"],
'archiver' : ["ar", "-cr"],
'ranlib' : None
}
module_dir_switch = None #XXX: fix me
module_include_switch = None #XXX: fix me
pic_flags = ['-KPIC']
def get_flags(self):
return self.pic_flags + ['-n32']
def get_flags_opt(self):
return ['-O3']
def get_flags_arch(self):
opt = []
for a in '19 20 21 22_4k 22_5k 24 25 26 27 28 30 32_5k 32_10k'.split():
if getattr(cpu, 'is_IP%s'%a)():
opt.append('-TARG:platform=IP%s' % a)
break
return opt
def get_flags_arch_f77(self):
r = None
if cpu.is_r10000(): r = 10000
elif cpu.is_r12000(): r = 12000
elif cpu.is_r8000(): r = 8000
elif cpu.is_r5000(): r = 5000
elif cpu.is_r4000(): r = 4000
if r is not None:
return ['r%s' % (r)]
return []
def get_flags_arch_f90(self):
r = self.get_flags_arch_f77()
if r:
r[0] = '-' + r[0]
return r
if __name__ == '__main__':
from numpy.distutils import customized_fcompiler
print(customized_fcompiler(compiler='mips').get_version())
| 1,714 | Python | 30.181818 | 79 | 0.529755 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/none.py | from numpy.distutils.fcompiler import FCompiler
from numpy.distutils import customized_fcompiler
compilers = ['NoneFCompiler']
class NoneFCompiler(FCompiler):
compiler_type = 'none'
description = 'Fake Fortran compiler'
executables = {'compiler_f77': None,
'compiler_f90': None,
'compiler_fix': None,
'linker_so': None,
'linker_exe': None,
'archiver': None,
'ranlib': None,
'version_cmd': None,
}
def find_executables(self):
pass
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
print(customized_fcompiler(compiler='none').get_version())
| 758 | Python | 25.172413 | 62 | 0.550132 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/absoft.py |
# http://www.absoft.com/literature/osxuserguide.pdf
# http://www.absoft.com/documentation.html
# Notes:
# - when using -g77 then use -DUNDERSCORE_G77 to compile f2py
# generated extension modules (works for f2py v2.45.241_1936 and up)
import os
from numpy.distutils.cpuinfo import cpu
from numpy.distutils.fcompiler import FCompiler, dummy_fortran_file
from numpy.distutils.misc_util import cyg2win32
compilers = ['AbsoftFCompiler']
class AbsoftFCompiler(FCompiler):
compiler_type = 'absoft'
description = 'Absoft Corp Fortran Compiler'
#version_pattern = r'FORTRAN 77 Compiler (?P<version>[^\s*,]*).*?Absoft Corp'
version_pattern = r'(f90:.*?(Absoft Pro FORTRAN Version|FORTRAN 77 Compiler|Absoft Fortran Compiler Version|Copyright Absoft Corporation.*?Version))'+\
r' (?P<version>[^\s*,]*)(.*?Absoft Corp|)'
# on windows: f90 -V -c dummy.f
# f90: Copyright Absoft Corporation 1994-1998 mV2; Cray Research, Inc. 1994-1996 CF90 (2.x.x.x f36t87) Version 2.3 Wed Apr 19, 2006 13:05:16
# samt5735(8)$ f90 -V -c dummy.f
# f90: Copyright Absoft Corporation 1994-2002; Absoft Pro FORTRAN Version 8.0
# Note that fink installs g77 as f77, so need to use f90 for detection.
executables = {
'version_cmd' : None, # set by update_executables
'compiler_f77' : ["f77"],
'compiler_fix' : ["f90"],
'compiler_f90' : ["f90"],
'linker_so' : ["<F90>"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
if os.name=='nt':
library_switch = '/out:' #No space after /out:!
module_dir_switch = None
module_include_switch = '-p'
def update_executables(self):
f = cyg2win32(dummy_fortran_file())
self.executables['version_cmd'] = ['<F90>', '-V', '-c',
f+'.f', '-o', f+'.o']
def get_flags_linker_so(self):
if os.name=='nt':
opt = ['/dll']
# The "-K shared" switches are being left in for pre-9.0 versions
# of Absoft though I don't think versions earlier than 9 can
# actually be used to build shared libraries. In fact, version
# 8 of Absoft doesn't recognize "-K shared" and will fail.
elif self.get_version() >= '9.0':
opt = ['-shared']
else:
opt = ["-K", "shared"]
return opt
def library_dir_option(self, dir):
if os.name=='nt':
return ['-link', '/PATH:%s' % (dir)]
return "-L" + dir
def library_option(self, lib):
if os.name=='nt':
return '%s.lib' % (lib)
return "-l" + lib
def get_library_dirs(self):
opt = FCompiler.get_library_dirs(self)
d = os.environ.get('ABSOFT')
if d:
if self.get_version() >= '10.0':
# use shared libraries, the static libraries were not compiled -fPIC
prefix = 'sh'
else:
prefix = ''
if cpu.is_64bit():
suffix = '64'
else:
suffix = ''
opt.append(os.path.join(d, '%slib%s' % (prefix, suffix)))
return opt
def get_libraries(self):
opt = FCompiler.get_libraries(self)
if self.get_version() >= '11.0':
opt.extend(['af90math', 'afio', 'af77math', 'amisc'])
elif self.get_version() >= '10.0':
opt.extend(['af90math', 'afio', 'af77math', 'U77'])
elif self.get_version() >= '8.0':
opt.extend(['f90math', 'fio', 'f77math', 'U77'])
else:
opt.extend(['fio', 'f90math', 'fmath', 'U77'])
if os.name =='nt':
opt.append('COMDLG32')
return opt
def get_flags(self):
opt = FCompiler.get_flags(self)
if os.name != 'nt':
opt.extend(['-s'])
if self.get_version():
if self.get_version()>='8.2':
opt.append('-fpic')
return opt
def get_flags_f77(self):
opt = FCompiler.get_flags_f77(self)
opt.extend(['-N22', '-N90', '-N110'])
v = self.get_version()
if os.name == 'nt':
if v and v>='8.0':
opt.extend(['-f', '-N15'])
else:
opt.append('-f')
if v:
if v<='4.6':
opt.append('-B108')
else:
# Though -N15 is undocumented, it works with
# Absoft 8.0 on Linux
opt.append('-N15')
return opt
def get_flags_f90(self):
opt = FCompiler.get_flags_f90(self)
opt.extend(["-YCFRL=1", "-YCOM_NAMES=LCS", "-YCOM_PFX", "-YEXT_PFX",
"-YCOM_SFX=_", "-YEXT_SFX=_", "-YEXT_NAMES=LCS"])
if self.get_version():
if self.get_version()>'4.6':
opt.extend(["-YDEALLOC=ALL"])
return opt
def get_flags_fix(self):
opt = FCompiler.get_flags_fix(self)
opt.extend(["-YCFRL=1", "-YCOM_NAMES=LCS", "-YCOM_PFX", "-YEXT_PFX",
"-YCOM_SFX=_", "-YEXT_SFX=_", "-YEXT_NAMES=LCS"])
opt.extend(["-f", "fixed"])
return opt
def get_flags_opt(self):
opt = ['-O']
return opt
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
from numpy.distutils import customized_fcompiler
print(customized_fcompiler(compiler='absoft').get_version())
| 5,499 | Python | 34.031847 | 155 | 0.525186 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/lahey.py | import os
from numpy.distutils.fcompiler import FCompiler
compilers = ['LaheyFCompiler']
class LaheyFCompiler(FCompiler):
compiler_type = 'lahey'
description = 'Lahey/Fujitsu Fortran 95 Compiler'
version_pattern = r'Lahey/Fujitsu Fortran 95 Compiler Release (?P<version>[^\s*]*)'
executables = {
'version_cmd' : ["<F90>", "--version"],
'compiler_f77' : ["lf95", "--fix"],
'compiler_fix' : ["lf95", "--fix"],
'compiler_f90' : ["lf95"],
'linker_so' : ["lf95", "-shared"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
module_dir_switch = None #XXX Fix me
module_include_switch = None #XXX Fix me
def get_flags_opt(self):
return ['-O']
def get_flags_debug(self):
return ['-g', '--chk', '--chkglobal']
def get_library_dirs(self):
opt = []
d = os.environ.get('LAHEY')
if d:
opt.append(os.path.join(d, 'lib'))
return opt
def get_libraries(self):
opt = []
opt.extend(['fj9f6', 'fj9i6', 'fj9ipp', 'fj9e6'])
return opt
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
from numpy.distutils import customized_fcompiler
print(customized_fcompiler(compiler='lahey').get_version())
| 1,327 | Python | 27.869565 | 88 | 0.557649 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/vast.py | import os
from numpy.distutils.fcompiler.gnu import GnuFCompiler
compilers = ['VastFCompiler']
class VastFCompiler(GnuFCompiler):
compiler_type = 'vast'
compiler_aliases = ()
description = 'Pacific-Sierra Research Fortran 90 Compiler'
version_pattern = (r'\s*Pacific-Sierra Research vf90 '
r'(Personal|Professional)\s+(?P<version>[^\s]*)')
# VAST f90 does not support -o with -c. So, object files are created
# to the current directory and then moved to build directory
object_switch = ' && function _mvfile { mv -v `basename $1` $1 ; } && _mvfile '
executables = {
'version_cmd' : ["vf90", "-v"],
'compiler_f77' : ["g77"],
'compiler_fix' : ["f90", "-Wv,-ya"],
'compiler_f90' : ["f90"],
'linker_so' : ["<F90>"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
module_dir_switch = None #XXX Fix me
module_include_switch = None #XXX Fix me
def find_executables(self):
pass
def get_version_cmd(self):
f90 = self.compiler_f90[0]
d, b = os.path.split(f90)
vf90 = os.path.join(d, 'v'+b)
return vf90
def get_flags_arch(self):
vast_version = self.get_version()
gnu = GnuFCompiler()
gnu.customize(None)
self.version = gnu.get_version()
opt = GnuFCompiler.get_flags_arch(self)
self.version = vast_version
return opt
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
from numpy.distutils import customized_fcompiler
print(customized_fcompiler(compiler='vast').get_version())
| 1,667 | Python | 30.471698 | 83 | 0.584883 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/intel.py | # http://developer.intel.com/software/products/compilers/flin/
import sys
from numpy.distutils.ccompiler import simple_version_match
from numpy.distutils.fcompiler import FCompiler, dummy_fortran_file
compilers = ['IntelFCompiler', 'IntelVisualFCompiler',
'IntelItaniumFCompiler', 'IntelItaniumVisualFCompiler',
'IntelEM64VisualFCompiler', 'IntelEM64TFCompiler']
def intel_version_match(type):
# Match against the important stuff in the version string
return simple_version_match(start=r'Intel.*?Fortran.*?(?:%s).*?Version' % (type,))
class BaseIntelFCompiler(FCompiler):
def update_executables(self):
f = dummy_fortran_file()
self.executables['version_cmd'] = ['<F77>', '-FI', '-V', '-c',
f + '.f', '-o', f + '.o']
def runtime_library_dir_option(self, dir):
# TODO: could use -Xlinker here, if it's supported
assert "," not in dir
return '-Wl,-rpath=%s' % dir
class IntelFCompiler(BaseIntelFCompiler):
compiler_type = 'intel'
compiler_aliases = ('ifort',)
description = 'Intel Fortran Compiler for 32-bit apps'
version_match = intel_version_match('32-bit|IA-32')
possible_executables = ['ifort', 'ifc']
executables = {
'version_cmd' : None, # set by update_executables
'compiler_f77' : [None, "-72", "-w90", "-w95"],
'compiler_f90' : [None],
'compiler_fix' : [None, "-FI"],
'linker_so' : ["<F90>", "-shared"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
pic_flags = ['-fPIC']
module_dir_switch = '-module ' # Don't remove ending space!
module_include_switch = '-I'
def get_flags_free(self):
return ['-FR']
def get_flags(self):
return ['-fPIC']
def get_flags_opt(self): # Scipy test failures with -O2
v = self.get_version()
mpopt = 'openmp' if v and v < '15' else 'qopenmp'
return ['-fp-model', 'strict', '-O1',
'-assume', 'minus0', '-{}'.format(mpopt)]
def get_flags_arch(self):
return []
def get_flags_linker_so(self):
opt = FCompiler.get_flags_linker_so(self)
v = self.get_version()
if v and v >= '8.0':
opt.append('-nofor_main')
if sys.platform == 'darwin':
# Here, it's -dynamiclib
try:
idx = opt.index('-shared')
opt.remove('-shared')
except ValueError:
idx = 0
opt[idx:idx] = ['-dynamiclib', '-Wl,-undefined,dynamic_lookup']
return opt
class IntelItaniumFCompiler(IntelFCompiler):
compiler_type = 'intele'
compiler_aliases = ()
description = 'Intel Fortran Compiler for Itanium apps'
version_match = intel_version_match('Itanium|IA-64')
possible_executables = ['ifort', 'efort', 'efc']
executables = {
'version_cmd' : None,
'compiler_f77' : [None, "-FI", "-w90", "-w95"],
'compiler_fix' : [None, "-FI"],
'compiler_f90' : [None],
'linker_so' : ['<F90>', "-shared"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
class IntelEM64TFCompiler(IntelFCompiler):
compiler_type = 'intelem'
compiler_aliases = ()
description = 'Intel Fortran Compiler for 64-bit apps'
version_match = intel_version_match('EM64T-based|Intel\\(R\\) 64|64|IA-64|64-bit')
possible_executables = ['ifort', 'efort', 'efc']
executables = {
'version_cmd' : None,
'compiler_f77' : [None, "-FI"],
'compiler_fix' : [None, "-FI"],
'compiler_f90' : [None],
'linker_so' : ['<F90>', "-shared"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
# Is there no difference in the version string between the above compilers
# and the Visual compilers?
class IntelVisualFCompiler(BaseIntelFCompiler):
compiler_type = 'intelv'
description = 'Intel Visual Fortran Compiler for 32-bit apps'
version_match = intel_version_match('32-bit|IA-32')
def update_executables(self):
f = dummy_fortran_file()
self.executables['version_cmd'] = ['<F77>', '/FI', '/c',
f + '.f', '/o', f + '.o']
ar_exe = 'lib.exe'
possible_executables = ['ifort', 'ifl']
executables = {
'version_cmd' : None,
'compiler_f77' : [None],
'compiler_fix' : [None],
'compiler_f90' : [None],
'linker_so' : [None],
'archiver' : [ar_exe, "/verbose", "/OUT:"],
'ranlib' : None
}
compile_switch = '/c '
object_switch = '/Fo' # No space after /Fo!
library_switch = '/OUT:' # No space after /OUT:!
module_dir_switch = '/module:' # No space after /module:
module_include_switch = '/I'
def get_flags(self):
opt = ['/nologo', '/MD', '/nbs', '/names:lowercase',
'/assume:underscore', '/fpp']
return opt
def get_flags_free(self):
return []
def get_flags_debug(self):
return ['/4Yb', '/d2']
def get_flags_opt(self):
return ['/O1', '/assume:minus0'] # Scipy test failures with /O2
def get_flags_arch(self):
return ["/arch:IA32", "/QaxSSE3"]
def runtime_library_dir_option(self, dir):
raise NotImplementedError
class IntelItaniumVisualFCompiler(IntelVisualFCompiler):
compiler_type = 'intelev'
description = 'Intel Visual Fortran Compiler for Itanium apps'
version_match = intel_version_match('Itanium')
possible_executables = ['efl'] # XXX this is a wild guess
ar_exe = IntelVisualFCompiler.ar_exe
executables = {
'version_cmd' : None,
'compiler_f77' : [None, "-FI", "-w90", "-w95"],
'compiler_fix' : [None, "-FI", "-4L72", "-w"],
'compiler_f90' : [None],
'linker_so' : ['<F90>', "-shared"],
'archiver' : [ar_exe, "/verbose", "/OUT:"],
'ranlib' : None
}
class IntelEM64VisualFCompiler(IntelVisualFCompiler):
compiler_type = 'intelvem'
description = 'Intel Visual Fortran Compiler for 64-bit apps'
version_match = simple_version_match(start=r'Intel\(R\).*?64,')
def get_flags_arch(self):
return []
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
from numpy.distutils import customized_fcompiler
print(customized_fcompiler(compiler='intel').get_version())
| 6,570 | Python | 29.995283 | 86 | 0.560426 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/__init__.py | """numpy.distutils.fcompiler
Contains FCompiler, an abstract base class that defines the interface
for the numpy.distutils Fortran compiler abstraction model.
Terminology:
To be consistent, where the term 'executable' is used, it means the single
file, like 'gcc', that is executed, and should be a string. In contrast,
'command' means the entire command line, like ['gcc', '-c', 'file.c'], and
should be a list.
But note that FCompiler.executables is actually a dictionary of commands.
"""
__all__ = ['FCompiler', 'new_fcompiler', 'show_fcompilers',
'dummy_fortran_file']
import os
import sys
import re
from distutils.sysconfig import get_python_lib
from distutils.fancy_getopt import FancyGetopt
from distutils.errors import DistutilsModuleError, \
DistutilsExecError, CompileError, LinkError, DistutilsPlatformError
from distutils.util import split_quoted, strtobool
from numpy.distutils.ccompiler import CCompiler, gen_lib_options
from numpy.distutils import log
from numpy.distutils.misc_util import is_string, all_strings, is_sequence, \
make_temp_file, get_shared_lib_extension
from numpy.distutils.exec_command import find_executable
from numpy.distutils import _shell_utils
from .environment import EnvironmentConfig
__metaclass__ = type
class CompilerNotFound(Exception):
pass
def flaglist(s):
if is_string(s):
return split_quoted(s)
else:
return s
def str2bool(s):
if is_string(s):
return strtobool(s)
return bool(s)
def is_sequence_of_strings(seq):
return is_sequence(seq) and all_strings(seq)
class FCompiler(CCompiler):
"""Abstract base class to define the interface that must be implemented
by real Fortran compiler classes.
Methods that subclasses may redefine:
update_executables(), find_executables(), get_version()
get_flags(), get_flags_opt(), get_flags_arch(), get_flags_debug()
get_flags_f77(), get_flags_opt_f77(), get_flags_arch_f77(),
get_flags_debug_f77(), get_flags_f90(), get_flags_opt_f90(),
get_flags_arch_f90(), get_flags_debug_f90(),
get_flags_fix(), get_flags_linker_so()
DON'T call these methods (except get_version) after
constructing a compiler instance or inside any other method.
All methods, except update_executables() and find_executables(),
may call the get_version() method.
After constructing a compiler instance, always call customize(dist=None)
method that finalizes compiler construction and makes the following
attributes available:
compiler_f77
compiler_f90
compiler_fix
linker_so
archiver
ranlib
libraries
library_dirs
"""
# These are the environment variables and distutils keys used.
# Each configuration description is
# (<hook name>, <environment variable>, <key in distutils.cfg>, <convert>, <append>)
# The hook names are handled by the self._environment_hook method.
# - names starting with 'self.' call methods in this class
# - names starting with 'exe.' return the key in the executables dict
# - names like 'flags.YYY' return self.get_flag_YYY()
# convert is either None or a function to convert a string to the
# appropriate type used.
distutils_vars = EnvironmentConfig(
distutils_section='config_fc',
noopt = (None, None, 'noopt', str2bool, False),
noarch = (None, None, 'noarch', str2bool, False),
debug = (None, None, 'debug', str2bool, False),
verbose = (None, None, 'verbose', str2bool, False),
)
command_vars = EnvironmentConfig(
distutils_section='config_fc',
compiler_f77 = ('exe.compiler_f77', 'F77', 'f77exec', None, False),
compiler_f90 = ('exe.compiler_f90', 'F90', 'f90exec', None, False),
compiler_fix = ('exe.compiler_fix', 'F90', 'f90exec', None, False),
version_cmd = ('exe.version_cmd', None, None, None, False),
linker_so = ('exe.linker_so', 'LDSHARED', 'ldshared', None, False),
linker_exe = ('exe.linker_exe', 'LD', 'ld', None, False),
archiver = (None, 'AR', 'ar', None, False),
ranlib = (None, 'RANLIB', 'ranlib', None, False),
)
flag_vars = EnvironmentConfig(
distutils_section='config_fc',
f77 = ('flags.f77', 'F77FLAGS', 'f77flags', flaglist, True),
f90 = ('flags.f90', 'F90FLAGS', 'f90flags', flaglist, True),
free = ('flags.free', 'FREEFLAGS', 'freeflags', flaglist, True),
fix = ('flags.fix', None, None, flaglist, False),
opt = ('flags.opt', 'FOPT', 'opt', flaglist, True),
opt_f77 = ('flags.opt_f77', None, None, flaglist, False),
opt_f90 = ('flags.opt_f90', None, None, flaglist, False),
arch = ('flags.arch', 'FARCH', 'arch', flaglist, False),
arch_f77 = ('flags.arch_f77', None, None, flaglist, False),
arch_f90 = ('flags.arch_f90', None, None, flaglist, False),
debug = ('flags.debug', 'FDEBUG', 'fdebug', flaglist, True),
debug_f77 = ('flags.debug_f77', None, None, flaglist, False),
debug_f90 = ('flags.debug_f90', None, None, flaglist, False),
flags = ('self.get_flags', 'FFLAGS', 'fflags', flaglist, True),
linker_so = ('flags.linker_so', 'LDFLAGS', 'ldflags', flaglist, True),
linker_exe = ('flags.linker_exe', 'LDFLAGS', 'ldflags', flaglist, True),
ar = ('flags.ar', 'ARFLAGS', 'arflags', flaglist, True),
)
language_map = {'.f': 'f77',
'.for': 'f77',
'.F': 'f77', # XXX: needs preprocessor
'.ftn': 'f77',
'.f77': 'f77',
'.f90': 'f90',
'.F90': 'f90', # XXX: needs preprocessor
'.f95': 'f90',
}
language_order = ['f90', 'f77']
# These will be set by the subclass
compiler_type = None
compiler_aliases = ()
version_pattern = None
possible_executables = []
executables = {
'version_cmd': ["f77", "-v"],
'compiler_f77': ["f77"],
'compiler_f90': ["f90"],
'compiler_fix': ["f90", "-fixed"],
'linker_so': ["f90", "-shared"],
'linker_exe': ["f90"],
'archiver': ["ar", "-cr"],
'ranlib': None,
}
# If compiler does not support compiling Fortran 90 then it can
# suggest using another compiler. For example, gnu would suggest
# gnu95 compiler type when there are F90 sources.
suggested_f90_compiler = None
compile_switch = "-c"
object_switch = "-o " # Ending space matters! It will be stripped
# but if it is missing then object_switch
# will be prefixed to object file name by
# string concatenation.
library_switch = "-o " # Ditto!
# Switch to specify where module files are created and searched
# for USE statement. Normally it is a string and also here ending
# space matters. See above.
module_dir_switch = None
# Switch to specify where module files are searched for USE statement.
module_include_switch = '-I'
pic_flags = [] # Flags to create position-independent code
src_extensions = ['.for', '.ftn', '.f77', '.f', '.f90', '.f95', '.F', '.F90', '.FOR']
obj_extension = ".o"
shared_lib_extension = get_shared_lib_extension()
static_lib_extension = ".a" # or .lib
static_lib_format = "lib%s%s" # or %s%s
shared_lib_format = "%s%s"
exe_extension = ""
_exe_cache = {}
_executable_keys = ['version_cmd', 'compiler_f77', 'compiler_f90',
'compiler_fix', 'linker_so', 'linker_exe', 'archiver',
'ranlib']
# This will be set by new_fcompiler when called in
# command/{build_ext.py, build_clib.py, config.py} files.
c_compiler = None
# extra_{f77,f90}_compile_args are set by build_ext.build_extension method
extra_f77_compile_args = []
extra_f90_compile_args = []
def __init__(self, *args, **kw):
CCompiler.__init__(self, *args, **kw)
self.distutils_vars = self.distutils_vars.clone(self._environment_hook)
self.command_vars = self.command_vars.clone(self._environment_hook)
self.flag_vars = self.flag_vars.clone(self._environment_hook)
self.executables = self.executables.copy()
for e in self._executable_keys:
if e not in self.executables:
self.executables[e] = None
# Some methods depend on .customize() being called first, so
# this keeps track of whether that's happened yet.
self._is_customised = False
def __copy__(self):
obj = self.__new__(self.__class__)
obj.__dict__.update(self.__dict__)
obj.distutils_vars = obj.distutils_vars.clone(obj._environment_hook)
obj.command_vars = obj.command_vars.clone(obj._environment_hook)
obj.flag_vars = obj.flag_vars.clone(obj._environment_hook)
obj.executables = obj.executables.copy()
return obj
def copy(self):
return self.__copy__()
# Use properties for the attributes used by CCompiler. Setting them
# as attributes from the self.executables dictionary is error-prone,
# so we get them from there each time.
def _command_property(key):
def fget(self):
assert self._is_customised
return self.executables[key]
return property(fget=fget)
version_cmd = _command_property('version_cmd')
compiler_f77 = _command_property('compiler_f77')
compiler_f90 = _command_property('compiler_f90')
compiler_fix = _command_property('compiler_fix')
linker_so = _command_property('linker_so')
linker_exe = _command_property('linker_exe')
archiver = _command_property('archiver')
ranlib = _command_property('ranlib')
# Make our terminology consistent.
def set_executable(self, key, value):
self.set_command(key, value)
def set_commands(self, **kw):
for k, v in kw.items():
self.set_command(k, v)
def set_command(self, key, value):
if not key in self._executable_keys:
raise ValueError(
"unknown executable '%s' for class %s" %
(key, self.__class__.__name__))
if is_string(value):
value = split_quoted(value)
assert value is None or is_sequence_of_strings(value[1:]), (key, value)
self.executables[key] = value
######################################################################
## Methods that subclasses may redefine. But don't call these methods!
## They are private to FCompiler class and may return unexpected
## results if used elsewhere. So, you have been warned..
def find_executables(self):
"""Go through the self.executables dictionary, and attempt to
find and assign appropriate executables.
Executable names are looked for in the environment (environment
variables, the distutils.cfg, and command line), the 0th-element of
the command list, and the self.possible_executables list.
Also, if the 0th element is "<F77>" or "<F90>", the Fortran 77
or the Fortran 90 compiler executable is used, unless overridden
by an environment setting.
Subclasses should call this if overridden.
"""
assert self._is_customised
exe_cache = self._exe_cache
def cached_find_executable(exe):
if exe in exe_cache:
return exe_cache[exe]
fc_exe = find_executable(exe)
exe_cache[exe] = exe_cache[fc_exe] = fc_exe
return fc_exe
def verify_command_form(name, value):
if value is not None and not is_sequence_of_strings(value):
raise ValueError(
"%s value %r is invalid in class %s" %
(name, value, self.__class__.__name__))
def set_exe(exe_key, f77=None, f90=None):
cmd = self.executables.get(exe_key, None)
if not cmd:
return None
# Note that we get cmd[0] here if the environment doesn't
# have anything set
exe_from_environ = getattr(self.command_vars, exe_key)
if not exe_from_environ:
possibles = [f90, f77] + self.possible_executables
else:
possibles = [exe_from_environ] + self.possible_executables
seen = set()
unique_possibles = []
for e in possibles:
if e == '<F77>':
e = f77
elif e == '<F90>':
e = f90
if not e or e in seen:
continue
seen.add(e)
unique_possibles.append(e)
for exe in unique_possibles:
fc_exe = cached_find_executable(exe)
if fc_exe:
cmd[0] = fc_exe
return fc_exe
self.set_command(exe_key, None)
return None
ctype = self.compiler_type
f90 = set_exe('compiler_f90')
if not f90:
f77 = set_exe('compiler_f77')
if f77:
log.warn('%s: no Fortran 90 compiler found' % ctype)
else:
raise CompilerNotFound('%s: f90 nor f77' % ctype)
else:
f77 = set_exe('compiler_f77', f90=f90)
if not f77:
log.warn('%s: no Fortran 77 compiler found' % ctype)
set_exe('compiler_fix', f90=f90)
set_exe('linker_so', f77=f77, f90=f90)
set_exe('linker_exe', f77=f77, f90=f90)
set_exe('version_cmd', f77=f77, f90=f90)
set_exe('archiver')
set_exe('ranlib')
def update_executables(self):
"""Called at the beginning of customisation. Subclasses should
override this if they need to set up the executables dictionary.
Note that self.find_executables() is run afterwards, so the
self.executables dictionary values can contain <F77> or <F90> as
the command, which will be replaced by the found F77 or F90
compiler.
"""
pass
def get_flags(self):
"""List of flags common to all compiler types."""
return [] + self.pic_flags
def _get_command_flags(self, key):
cmd = self.executables.get(key, None)
if cmd is None:
return []
return cmd[1:]
def get_flags_f77(self):
"""List of Fortran 77 specific flags."""
return self._get_command_flags('compiler_f77')
def get_flags_f90(self):
"""List of Fortran 90 specific flags."""
return self._get_command_flags('compiler_f90')
def get_flags_free(self):
"""List of Fortran 90 free format specific flags."""
return []
def get_flags_fix(self):
"""List of Fortran 90 fixed format specific flags."""
return self._get_command_flags('compiler_fix')
def get_flags_linker_so(self):
"""List of linker flags to build a shared library."""
return self._get_command_flags('linker_so')
def get_flags_linker_exe(self):
"""List of linker flags to build an executable."""
return self._get_command_flags('linker_exe')
def get_flags_ar(self):
"""List of archiver flags. """
return self._get_command_flags('archiver')
def get_flags_opt(self):
"""List of architecture independent compiler flags."""
return []
def get_flags_arch(self):
"""List of architecture dependent compiler flags."""
return []
def get_flags_debug(self):
"""List of compiler flags to compile with debugging information."""
return []
get_flags_opt_f77 = get_flags_opt_f90 = get_flags_opt
get_flags_arch_f77 = get_flags_arch_f90 = get_flags_arch
get_flags_debug_f77 = get_flags_debug_f90 = get_flags_debug
def get_libraries(self):
"""List of compiler libraries."""
return self.libraries[:]
def get_library_dirs(self):
"""List of compiler library directories."""
return self.library_dirs[:]
def get_version(self, force=False, ok_status=[0]):
assert self._is_customised
version = CCompiler.get_version(self, force=force, ok_status=ok_status)
if version is None:
raise CompilerNotFound()
return version
############################################################
## Public methods:
def customize(self, dist = None):
"""Customize Fortran compiler.
This method gets Fortran compiler specific information from
(i) class definition, (ii) environment, (iii) distutils config
files, and (iv) command line (later overrides earlier).
This method should be always called after constructing a
compiler instance. But not in __init__ because Distribution
instance is needed for (iii) and (iv).
"""
log.info('customize %s' % (self.__class__.__name__))
self._is_customised = True
self.distutils_vars.use_distribution(dist)
self.command_vars.use_distribution(dist)
self.flag_vars.use_distribution(dist)
self.update_executables()
# find_executables takes care of setting the compiler commands,
# version_cmd, linker_so, linker_exe, ar, and ranlib
self.find_executables()
noopt = self.distutils_vars.get('noopt', False)
noarch = self.distutils_vars.get('noarch', noopt)
debug = self.distutils_vars.get('debug', False)
f77 = self.command_vars.compiler_f77
f90 = self.command_vars.compiler_f90
f77flags = []
f90flags = []
freeflags = []
fixflags = []
if f77:
f77 = _shell_utils.NativeParser.split(f77)
f77flags = self.flag_vars.f77
if f90:
f90 = _shell_utils.NativeParser.split(f90)
f90flags = self.flag_vars.f90
freeflags = self.flag_vars.free
# XXX Assuming that free format is default for f90 compiler.
fix = self.command_vars.compiler_fix
# NOTE: this and similar examples are probably just
# excluding --coverage flag when F90 = gfortran --coverage
# instead of putting that flag somewhere more appropriate
# this and similar examples where a Fortran compiler
# environment variable has been customized by CI or a user
# should perhaps eventually be more thoroughly tested and more
# robustly handled
if fix:
fix = _shell_utils.NativeParser.split(fix)
fixflags = self.flag_vars.fix + f90flags
oflags, aflags, dflags = [], [], []
# examine get_flags_<tag>_<compiler> for extra flags
# only add them if the method is different from get_flags_<tag>
def get_flags(tag, flags):
# note that self.flag_vars.<tag> calls self.get_flags_<tag>()
flags.extend(getattr(self.flag_vars, tag))
this_get = getattr(self, 'get_flags_' + tag)
for name, c, flagvar in [('f77', f77, f77flags),
('f90', f90, f90flags),
('f90', fix, fixflags)]:
t = '%s_%s' % (tag, name)
if c and this_get is not getattr(self, 'get_flags_' + t):
flagvar.extend(getattr(self.flag_vars, t))
if not noopt:
get_flags('opt', oflags)
if not noarch:
get_flags('arch', aflags)
if debug:
get_flags('debug', dflags)
fflags = self.flag_vars.flags + dflags + oflags + aflags
if f77:
self.set_commands(compiler_f77=f77+f77flags+fflags)
if f90:
self.set_commands(compiler_f90=f90+freeflags+f90flags+fflags)
if fix:
self.set_commands(compiler_fix=fix+fixflags+fflags)
#XXX: Do we need LDSHARED->SOSHARED, LDFLAGS->SOFLAGS
linker_so = self.linker_so
if linker_so:
linker_so_flags = self.flag_vars.linker_so
if sys.platform.startswith('aix'):
python_lib = get_python_lib(standard_lib=1)
ld_so_aix = os.path.join(python_lib, 'config', 'ld_so_aix')
python_exp = os.path.join(python_lib, 'config', 'python.exp')
linker_so = [ld_so_aix] + linker_so + ['-bI:'+python_exp]
if sys.platform.startswith('os400'):
from distutils.sysconfig import get_config_var
python_config = get_config_var('LIBPL')
ld_so_aix = os.path.join(python_config, 'ld_so_aix')
python_exp = os.path.join(python_config, 'python.exp')
linker_so = [ld_so_aix] + linker_so + ['-bI:'+python_exp]
self.set_commands(linker_so=linker_so+linker_so_flags)
linker_exe = self.linker_exe
if linker_exe:
linker_exe_flags = self.flag_vars.linker_exe
self.set_commands(linker_exe=linker_exe+linker_exe_flags)
ar = self.command_vars.archiver
if ar:
arflags = self.flag_vars.ar
self.set_commands(archiver=[ar]+arflags)
self.set_library_dirs(self.get_library_dirs())
self.set_libraries(self.get_libraries())
def dump_properties(self):
"""Print out the attributes of a compiler instance."""
props = []
for key in list(self.executables.keys()) + \
['version', 'libraries', 'library_dirs',
'object_switch', 'compile_switch']:
if hasattr(self, key):
v = getattr(self, key)
props.append((key, None, '= '+repr(v)))
props.sort()
pretty_printer = FancyGetopt(props)
for l in pretty_printer.generate_help("%s instance properties:" \
% (self.__class__.__name__)):
if l[:4]==' --':
l = ' ' + l[4:]
print(l)
###################
def _compile(self, obj, src, ext, cc_args, extra_postargs, pp_opts):
"""Compile 'src' to product 'obj'."""
src_flags = {}
if is_f_file(src) and not has_f90_header(src):
flavor = ':f77'
compiler = self.compiler_f77
src_flags = get_f77flags(src)
extra_compile_args = self.extra_f77_compile_args or []
elif is_free_format(src):
flavor = ':f90'
compiler = self.compiler_f90
if compiler is None:
raise DistutilsExecError('f90 not supported by %s needed for %s'\
% (self.__class__.__name__, src))
extra_compile_args = self.extra_f90_compile_args or []
else:
flavor = ':fix'
compiler = self.compiler_fix
if compiler is None:
raise DistutilsExecError('f90 (fixed) not supported by %s needed for %s'\
% (self.__class__.__name__, src))
extra_compile_args = self.extra_f90_compile_args or []
if self.object_switch[-1]==' ':
o_args = [self.object_switch.strip(), obj]
else:
o_args = [self.object_switch.strip()+obj]
assert self.compile_switch.strip()
s_args = [self.compile_switch, src]
if extra_compile_args:
log.info('extra %s options: %r' \
% (flavor[1:], ' '.join(extra_compile_args)))
extra_flags = src_flags.get(self.compiler_type, [])
if extra_flags:
log.info('using compile options from source: %r' \
% ' '.join(extra_flags))
command = compiler + cc_args + extra_flags + s_args + o_args \
+ extra_postargs + extra_compile_args
display = '%s: %s' % (os.path.basename(compiler[0]) + flavor,
src)
try:
self.spawn(command, display=display)
except DistutilsExecError as e:
msg = str(e)
raise CompileError(msg) from None
def module_options(self, module_dirs, module_build_dir):
options = []
if self.module_dir_switch is not None:
if self.module_dir_switch[-1]==' ':
options.extend([self.module_dir_switch.strip(), module_build_dir])
else:
options.append(self.module_dir_switch.strip()+module_build_dir)
else:
print('XXX: module_build_dir=%r option ignored' % (module_build_dir))
print('XXX: Fix module_dir_switch for ', self.__class__.__name__)
if self.module_include_switch is not None:
for d in [module_build_dir]+module_dirs:
options.append('%s%s' % (self.module_include_switch, d))
else:
print('XXX: module_dirs=%r option ignored' % (module_dirs))
print('XXX: Fix module_include_switch for ', self.__class__.__name__)
return options
def library_option(self, lib):
return "-l" + lib
def library_dir_option(self, dir):
return "-L" + dir
def link(self, target_desc, objects,
output_filename, output_dir=None, libraries=None,
library_dirs=None, runtime_library_dirs=None,
export_symbols=None, debug=0, extra_preargs=None,
extra_postargs=None, build_temp=None, target_lang=None):
objects, output_dir = self._fix_object_args(objects, output_dir)
libraries, library_dirs, runtime_library_dirs = \
self._fix_lib_args(libraries, library_dirs, runtime_library_dirs)
lib_opts = gen_lib_options(self, library_dirs, runtime_library_dirs,
libraries)
if is_string(output_dir):
output_filename = os.path.join(output_dir, output_filename)
elif output_dir is not None:
raise TypeError("'output_dir' must be a string or None")
if self._need_link(objects, output_filename):
if self.library_switch[-1]==' ':
o_args = [self.library_switch.strip(), output_filename]
else:
o_args = [self.library_switch.strip()+output_filename]
if is_string(self.objects):
ld_args = objects + [self.objects]
else:
ld_args = objects + self.objects
ld_args = ld_args + lib_opts + o_args
if debug:
ld_args[:0] = ['-g']
if extra_preargs:
ld_args[:0] = extra_preargs
if extra_postargs:
ld_args.extend(extra_postargs)
self.mkpath(os.path.dirname(output_filename))
if target_desc == CCompiler.EXECUTABLE:
linker = self.linker_exe[:]
else:
linker = self.linker_so[:]
command = linker + ld_args
try:
self.spawn(command)
except DistutilsExecError as e:
msg = str(e)
raise LinkError(msg) from None
else:
log.debug("skipping %s (up-to-date)", output_filename)
def _environment_hook(self, name, hook_name):
if hook_name is None:
return None
if is_string(hook_name):
if hook_name.startswith('self.'):
hook_name = hook_name[5:]
hook = getattr(self, hook_name)
return hook()
elif hook_name.startswith('exe.'):
hook_name = hook_name[4:]
var = self.executables[hook_name]
if var:
return var[0]
else:
return None
elif hook_name.startswith('flags.'):
hook_name = hook_name[6:]
hook = getattr(self, 'get_flags_' + hook_name)
return hook()
else:
return hook_name()
def can_ccompiler_link(self, ccompiler):
"""
Check if the given C compiler can link objects produced by
this compiler.
"""
return True
def wrap_unlinkable_objects(self, objects, output_dir, extra_dll_dir):
"""
Convert a set of object files that are not compatible with the default
linker, to a file that is compatible.
Parameters
----------
objects : list
List of object files to include.
output_dir : str
Output directory to place generated object files.
extra_dll_dir : str
Output directory to place extra DLL files that need to be
included on Windows.
Returns
-------
converted_objects : list of str
List of converted object files.
Note that the number of output files is not necessarily
the same as inputs.
"""
raise NotImplementedError()
## class FCompiler
_default_compilers = (
# sys.platform mappings
('win32', ('gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95',
'intelvem', 'intelem', 'flang')),
('cygwin.*', ('gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95')),
('linux.*', ('arm', 'gnu95', 'intel', 'lahey', 'pg', 'nv', 'absoft', 'nag',
'vast', 'compaq', 'intele', 'intelem', 'gnu', 'g95',
'pathf95', 'nagfor', 'fujitsu')),
('darwin.*', ('gnu95', 'nag', 'nagfor', 'absoft', 'ibm', 'intel', 'gnu',
'g95', 'pg')),
('sunos.*', ('sun', 'gnu', 'gnu95', 'g95')),
('irix.*', ('mips', 'gnu', 'gnu95',)),
('aix.*', ('ibm', 'gnu', 'gnu95',)),
# os.name mappings
('posix', ('gnu', 'gnu95',)),
('nt', ('gnu', 'gnu95',)),
('mac', ('gnu95', 'gnu', 'pg')),
)
fcompiler_class = None
fcompiler_aliases = None
def load_all_fcompiler_classes():
"""Cache all the FCompiler classes found in modules in the
numpy.distutils.fcompiler package.
"""
from glob import glob
global fcompiler_class, fcompiler_aliases
if fcompiler_class is not None:
return
pys = os.path.join(os.path.dirname(__file__), '*.py')
fcompiler_class = {}
fcompiler_aliases = {}
for fname in glob(pys):
module_name, ext = os.path.splitext(os.path.basename(fname))
module_name = 'numpy.distutils.fcompiler.' + module_name
__import__ (module_name)
module = sys.modules[module_name]
if hasattr(module, 'compilers'):
for cname in module.compilers:
klass = getattr(module, cname)
desc = (klass.compiler_type, klass, klass.description)
fcompiler_class[klass.compiler_type] = desc
for alias in klass.compiler_aliases:
if alias in fcompiler_aliases:
raise ValueError("alias %r defined for both %s and %s"
% (alias, klass.__name__,
fcompiler_aliases[alias][1].__name__))
fcompiler_aliases[alias] = desc
def _find_existing_fcompiler(compiler_types,
osname=None, platform=None,
requiref90=False,
c_compiler=None):
from numpy.distutils.core import get_distribution
dist = get_distribution(always=True)
for compiler_type in compiler_types:
v = None
try:
c = new_fcompiler(plat=platform, compiler=compiler_type,
c_compiler=c_compiler)
c.customize(dist)
v = c.get_version()
if requiref90 and c.compiler_f90 is None:
v = None
new_compiler = c.suggested_f90_compiler
if new_compiler:
log.warn('Trying %r compiler as suggested by %r '
'compiler for f90 support.' % (compiler_type,
new_compiler))
c = new_fcompiler(plat=platform, compiler=new_compiler,
c_compiler=c_compiler)
c.customize(dist)
v = c.get_version()
if v is not None:
compiler_type = new_compiler
if requiref90 and c.compiler_f90 is None:
raise ValueError('%s does not support compiling f90 codes, '
'skipping.' % (c.__class__.__name__))
except DistutilsModuleError:
log.debug("_find_existing_fcompiler: compiler_type='%s' raised DistutilsModuleError", compiler_type)
except CompilerNotFound:
log.debug("_find_existing_fcompiler: compiler_type='%s' not found", compiler_type)
if v is not None:
return compiler_type
return None
def available_fcompilers_for_platform(osname=None, platform=None):
if osname is None:
osname = os.name
if platform is None:
platform = sys.platform
matching_compiler_types = []
for pattern, compiler_type in _default_compilers:
if re.match(pattern, platform) or re.match(pattern, osname):
for ct in compiler_type:
if ct not in matching_compiler_types:
matching_compiler_types.append(ct)
if not matching_compiler_types:
matching_compiler_types.append('gnu')
return matching_compiler_types
def get_default_fcompiler(osname=None, platform=None, requiref90=False,
c_compiler=None):
"""Determine the default Fortran compiler to use for the given
platform."""
matching_compiler_types = available_fcompilers_for_platform(osname,
platform)
log.info("get_default_fcompiler: matching types: '%s'",
matching_compiler_types)
compiler_type = _find_existing_fcompiler(matching_compiler_types,
osname=osname,
platform=platform,
requiref90=requiref90,
c_compiler=c_compiler)
return compiler_type
# Flag to avoid rechecking for Fortran compiler every time
failed_fcompilers = set()
def new_fcompiler(plat=None,
compiler=None,
verbose=0,
dry_run=0,
force=0,
requiref90=False,
c_compiler = None):
"""Generate an instance of some FCompiler subclass for the supplied
platform/compiler combination.
"""
global failed_fcompilers
fcompiler_key = (plat, compiler)
if fcompiler_key in failed_fcompilers:
return None
load_all_fcompiler_classes()
if plat is None:
plat = os.name
if compiler is None:
compiler = get_default_fcompiler(plat, requiref90=requiref90,
c_compiler=c_compiler)
if compiler in fcompiler_class:
module_name, klass, long_description = fcompiler_class[compiler]
elif compiler in fcompiler_aliases:
module_name, klass, long_description = fcompiler_aliases[compiler]
else:
msg = "don't know how to compile Fortran code on platform '%s'" % plat
if compiler is not None:
msg = msg + " with '%s' compiler." % compiler
msg = msg + " Supported compilers are: %s)" \
% (','.join(fcompiler_class.keys()))
log.warn(msg)
failed_fcompilers.add(fcompiler_key)
return None
compiler = klass(verbose=verbose, dry_run=dry_run, force=force)
compiler.c_compiler = c_compiler
return compiler
def show_fcompilers(dist=None):
"""Print list of available compilers (used by the "--help-fcompiler"
option to "config_fc").
"""
if dist is None:
from distutils.dist import Distribution
from numpy.distutils.command.config_compiler import config_fc
dist = Distribution()
dist.script_name = os.path.basename(sys.argv[0])
dist.script_args = ['config_fc'] + sys.argv[1:]
try:
dist.script_args.remove('--help-fcompiler')
except ValueError:
pass
dist.cmdclass['config_fc'] = config_fc
dist.parse_config_files()
dist.parse_command_line()
compilers = []
compilers_na = []
compilers_ni = []
if not fcompiler_class:
load_all_fcompiler_classes()
platform_compilers = available_fcompilers_for_platform()
for compiler in platform_compilers:
v = None
log.set_verbosity(-2)
try:
c = new_fcompiler(compiler=compiler, verbose=dist.verbose)
c.customize(dist)
v = c.get_version()
except (DistutilsModuleError, CompilerNotFound) as e:
log.debug("show_fcompilers: %s not found" % (compiler,))
log.debug(repr(e))
if v is None:
compilers_na.append(("fcompiler="+compiler, None,
fcompiler_class[compiler][2]))
else:
c.dump_properties()
compilers.append(("fcompiler="+compiler, None,
fcompiler_class[compiler][2] + ' (%s)' % v))
compilers_ni = list(set(fcompiler_class.keys()) - set(platform_compilers))
compilers_ni = [("fcompiler="+fc, None, fcompiler_class[fc][2])
for fc in compilers_ni]
compilers.sort()
compilers_na.sort()
compilers_ni.sort()
pretty_printer = FancyGetopt(compilers)
pretty_printer.print_help("Fortran compilers found:")
pretty_printer = FancyGetopt(compilers_na)
pretty_printer.print_help("Compilers available for this "
"platform, but not found:")
if compilers_ni:
pretty_printer = FancyGetopt(compilers_ni)
pretty_printer.print_help("Compilers not available on this platform:")
print("For compiler details, run 'config_fc --verbose' setup command.")
def dummy_fortran_file():
fo, name = make_temp_file(suffix='.f')
fo.write(" subroutine dummy()\n end\n")
fo.close()
return name[:-2]
is_f_file = re.compile(r'.*\.(for|ftn|f77|f)\Z', re.I).match
_has_f_header = re.compile(r'-\*-\s*fortran\s*-\*-', re.I).search
_has_f90_header = re.compile(r'-\*-\s*f90\s*-\*-', re.I).search
_has_fix_header = re.compile(r'-\*-\s*fix\s*-\*-', re.I).search
_free_f90_start = re.compile(r'[^c*!]\s*[^\s\d\t]', re.I).match
def is_free_format(file):
"""Check if file is in free format Fortran."""
# f90 allows both fixed and free format, assuming fixed unless
# signs of free format are detected.
result = 0
with open(file, encoding='latin1') as f:
line = f.readline()
n = 10000 # the number of non-comment lines to scan for hints
if _has_f_header(line) or _has_fix_header(line):
n = 0
elif _has_f90_header(line):
n = 0
result = 1
while n>0 and line:
line = line.rstrip()
if line and line[0]!='!':
n -= 1
if (line[0]!='\t' and _free_f90_start(line[:5])) or line[-1:]=='&':
result = 1
break
line = f.readline()
return result
def has_f90_header(src):
with open(src, encoding='latin1') as f:
line = f.readline()
return _has_f90_header(line) or _has_fix_header(line)
_f77flags_re = re.compile(r'(c|)f77flags\s*\(\s*(?P<fcname>\w+)\s*\)\s*=\s*(?P<fflags>.*)', re.I)
def get_f77flags(src):
"""
Search the first 20 lines of fortran 77 code for line pattern
`CF77FLAGS(<fcompiler type>)=<f77 flags>`
Return a dictionary {<fcompiler type>:<f77 flags>}.
"""
flags = {}
with open(src, encoding='latin1') as f:
i = 0
for line in f:
i += 1
if i>20: break
m = _f77flags_re.match(line)
if not m: continue
fcname = m.group('fcname').strip()
fflags = m.group('fflags').strip()
flags[fcname] = split_quoted(fflags)
return flags
# TODO: implement get_f90flags and use it in _compile similarly to get_f77flags
if __name__ == '__main__':
show_fcompilers()
| 40,535 | Python | 38.317168 | 112 | 0.566671 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/hpux.py | from numpy.distutils.fcompiler import FCompiler
compilers = ['HPUXFCompiler']
class HPUXFCompiler(FCompiler):
compiler_type = 'hpux'
description = 'HP Fortran 90 Compiler'
version_pattern = r'HP F90 (?P<version>[^\s*,]*)'
executables = {
'version_cmd' : ["f90", "+version"],
'compiler_f77' : ["f90"],
'compiler_fix' : ["f90"],
'compiler_f90' : ["f90"],
'linker_so' : ["ld", "-b"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
module_dir_switch = None #XXX: fix me
module_include_switch = None #XXX: fix me
pic_flags = ['+Z']
def get_flags(self):
return self.pic_flags + ['+ppu', '+DD64']
def get_flags_opt(self):
return ['-O3']
def get_libraries(self):
return ['m']
def get_library_dirs(self):
opt = ['/usr/lib/hpux64']
return opt
def get_version(self, force=0, ok_status=[256, 0, 1]):
# XXX status==256 may indicate 'unrecognized option' or
# 'no input file'. So, version_cmd needs more work.
return FCompiler.get_version(self, force, ok_status)
if __name__ == '__main__':
from distutils import log
log.set_verbosity(10)
from numpy.distutils import customized_fcompiler
print(customized_fcompiler(compiler='hpux').get_version())
| 1,353 | Python | 31.238094 | 63 | 0.571323 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/gnu.py | import re
import os
import sys
import warnings
import platform
import tempfile
import hashlib
import base64
import subprocess
from subprocess import Popen, PIPE, STDOUT
from numpy.distutils.exec_command import filepath_from_subprocess_output
from numpy.distutils.fcompiler import FCompiler
from distutils.version import LooseVersion
compilers = ['GnuFCompiler', 'Gnu95FCompiler']
TARGET_R = re.compile(r"Target: ([a-zA-Z0-9_\-]*)")
# XXX: handle cross compilation
def is_win64():
return sys.platform == "win32" and platform.architecture()[0] == "64bit"
class GnuFCompiler(FCompiler):
compiler_type = 'gnu'
compiler_aliases = ('g77', )
description = 'GNU Fortran 77 compiler'
def gnu_version_match(self, version_string):
"""Handle the different versions of GNU fortran compilers"""
# Strip warning(s) that may be emitted by gfortran
while version_string.startswith('gfortran: warning'):
version_string =\
version_string[version_string.find('\n') + 1:].strip()
# Gfortran versions from after 2010 will output a simple string
# (usually "x.y", "x.y.z" or "x.y.z-q") for ``-dumpversion``; older
# gfortrans may still return long version strings (``-dumpversion`` was
# an alias for ``--version``)
if len(version_string) <= 20:
# Try to find a valid version string
m = re.search(r'([0-9.]+)', version_string)
if m:
# g77 provides a longer version string that starts with GNU
# Fortran
if version_string.startswith('GNU Fortran'):
return ('g77', m.group(1))
# gfortran only outputs a version string such as #.#.#, so check
# if the match is at the start of the string
elif m.start() == 0:
return ('gfortran', m.group(1))
else:
# Output probably from --version, try harder:
m = re.search(r'GNU Fortran\s+95.*?([0-9-.]+)', version_string)
if m:
return ('gfortran', m.group(1))
m = re.search(
r'GNU Fortran.*?\-?([0-9-.]+\.[0-9-.]+)', version_string)
if m:
v = m.group(1)
if v.startswith('0') or v.startswith('2') or v.startswith('3'):
# the '0' is for early g77's
return ('g77', v)
else:
# at some point in the 4.x series, the ' 95' was dropped
# from the version string
return ('gfortran', v)
# If still nothing, raise an error to make the problem easy to find.
err = 'A valid Fortran version was not found in this string:\n'
raise ValueError(err + version_string)
def version_match(self, version_string):
v = self.gnu_version_match(version_string)
if not v or v[0] != 'g77':
return None
return v[1]
possible_executables = ['g77', 'f77']
executables = {
'version_cmd' : [None, "-dumpversion"],
'compiler_f77' : [None, "-g", "-Wall", "-fno-second-underscore"],
'compiler_f90' : None, # Use --fcompiler=gnu95 for f90 codes
'compiler_fix' : None,
'linker_so' : [None, "-g", "-Wall"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"],
'linker_exe' : [None, "-g", "-Wall"]
}
module_dir_switch = None
module_include_switch = None
# Cygwin: f771: warning: -fPIC ignored for target (all code is
# position independent)
if os.name != 'nt' and sys.platform != 'cygwin':
pic_flags = ['-fPIC']
# use -mno-cygwin for g77 when Python is not Cygwin-Python
if sys.platform == 'win32':
for key in ['version_cmd', 'compiler_f77', 'linker_so', 'linker_exe']:
executables[key].append('-mno-cygwin')
g2c = 'g2c'
suggested_f90_compiler = 'gnu95'
def get_flags_linker_so(self):
opt = self.linker_so[1:]
if sys.platform == 'darwin':
target = os.environ.get('MACOSX_DEPLOYMENT_TARGET', None)
# If MACOSX_DEPLOYMENT_TARGET is set, we simply trust the value
# and leave it alone. But, distutils will complain if the
# environment's value is different from the one in the Python
# Makefile used to build Python. We let distutils handle this
# error checking.
if not target:
# If MACOSX_DEPLOYMENT_TARGET is not set in the environment,
# we try to get it first from sysconfig and then
# fall back to setting it to 10.9 This is a reasonable default
# even when using the official Python dist and those derived
# from it.
import sysconfig
target = sysconfig.get_config_var('MACOSX_DEPLOYMENT_TARGET')
if not target:
target = '10.9'
s = f'Env. variable MACOSX_DEPLOYMENT_TARGET set to {target}'
warnings.warn(s, stacklevel=2)
os.environ['MACOSX_DEPLOYMENT_TARGET'] = str(target)
opt.extend(['-undefined', 'dynamic_lookup', '-bundle'])
else:
opt.append("-shared")
if sys.platform.startswith('sunos'):
# SunOS often has dynamically loaded symbols defined in the
# static library libg2c.a The linker doesn't like this. To
# ignore the problem, use the -mimpure-text flag. It isn't
# the safest thing, but seems to work. 'man gcc' says:
# ".. Instead of using -mimpure-text, you should compile all
# source code with -fpic or -fPIC."
opt.append('-mimpure-text')
return opt
def get_libgcc_dir(self):
try:
output = subprocess.check_output(self.compiler_f77 +
['-print-libgcc-file-name'])
except (OSError, subprocess.CalledProcessError):
pass
else:
output = filepath_from_subprocess_output(output)
return os.path.dirname(output)
return None
def get_libgfortran_dir(self):
if sys.platform[:5] == 'linux':
libgfortran_name = 'libgfortran.so'
elif sys.platform == 'darwin':
libgfortran_name = 'libgfortran.dylib'
else:
libgfortran_name = None
libgfortran_dir = None
if libgfortran_name:
find_lib_arg = ['-print-file-name={0}'.format(libgfortran_name)]
try:
output = subprocess.check_output(
self.compiler_f77 + find_lib_arg)
except (OSError, subprocess.CalledProcessError):
pass
else:
output = filepath_from_subprocess_output(output)
libgfortran_dir = os.path.dirname(output)
return libgfortran_dir
def get_library_dirs(self):
opt = []
if sys.platform[:5] != 'linux':
d = self.get_libgcc_dir()
if d:
# if windows and not cygwin, libg2c lies in a different folder
if sys.platform == 'win32' and not d.startswith('/usr/lib'):
d = os.path.normpath(d)
path = os.path.join(d, "lib%s.a" % self.g2c)
if not os.path.exists(path):
root = os.path.join(d, *((os.pardir, ) * 4))
d2 = os.path.abspath(os.path.join(root, 'lib'))
path = os.path.join(d2, "lib%s.a" % self.g2c)
if os.path.exists(path):
opt.append(d2)
opt.append(d)
# For Macports / Linux, libgfortran and libgcc are not co-located
lib_gfortran_dir = self.get_libgfortran_dir()
if lib_gfortran_dir:
opt.append(lib_gfortran_dir)
return opt
def get_libraries(self):
opt = []
d = self.get_libgcc_dir()
if d is not None:
g2c = self.g2c + '-pic'
f = self.static_lib_format % (g2c, self.static_lib_extension)
if not os.path.isfile(os.path.join(d, f)):
g2c = self.g2c
else:
g2c = self.g2c
if g2c is not None:
opt.append(g2c)
c_compiler = self.c_compiler
if sys.platform == 'win32' and c_compiler and \
c_compiler.compiler_type == 'msvc':
opt.append('gcc')
if sys.platform == 'darwin':
opt.append('cc_dynamic')
return opt
def get_flags_debug(self):
return ['-g']
def get_flags_opt(self):
v = self.get_version()
if v and v <= '3.3.3':
# With this compiler version building Fortran BLAS/LAPACK
# with -O3 caused failures in lib.lapack heevr,syevr tests.
opt = ['-O2']
else:
opt = ['-O3']
opt.append('-funroll-loops')
return opt
def _c_arch_flags(self):
""" Return detected arch flags from CFLAGS """
import sysconfig
try:
cflags = sysconfig.get_config_vars()['CFLAGS']
except KeyError:
return []
arch_re = re.compile(r"-arch\s+(\w+)")
arch_flags = []
for arch in arch_re.findall(cflags):
arch_flags += ['-arch', arch]
return arch_flags
def get_flags_arch(self):
return []
def runtime_library_dir_option(self, dir):
if sys.platform == 'win32' or sys.platform == 'cygwin':
# Linux/Solaris/Unix support RPATH, Windows does not
raise NotImplementedError
# TODO: could use -Xlinker here, if it's supported
assert "," not in dir
if sys.platform == 'darwin':
return f'-Wl,-rpath,{dir}'
elif sys.platform.startswith(('aix', 'os400')):
# AIX RPATH is called LIBPATH
return f'-Wl,-blibpath:{dir}'
else:
return f'-Wl,-rpath={dir}'
class Gnu95FCompiler(GnuFCompiler):
compiler_type = 'gnu95'
compiler_aliases = ('gfortran', )
description = 'GNU Fortran 95 compiler'
def version_match(self, version_string):
v = self.gnu_version_match(version_string)
if not v or v[0] != 'gfortran':
return None
v = v[1]
if LooseVersion(v) >= "4":
# gcc-4 series releases do not support -mno-cygwin option
pass
else:
# use -mno-cygwin flag for gfortran when Python is not
# Cygwin-Python
if sys.platform == 'win32':
for key in [
'version_cmd', 'compiler_f77', 'compiler_f90',
'compiler_fix', 'linker_so', 'linker_exe'
]:
self.executables[key].append('-mno-cygwin')
return v
possible_executables = ['gfortran', 'f95']
executables = {
'version_cmd' : ["<F90>", "-dumpversion"],
'compiler_f77' : [None, "-Wall", "-g", "-ffixed-form",
"-fno-second-underscore"],
'compiler_f90' : [None, "-Wall", "-g",
"-fno-second-underscore"],
'compiler_fix' : [None, "-Wall", "-g","-ffixed-form",
"-fno-second-underscore"],
'linker_so' : ["<F90>", "-Wall", "-g"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"],
'linker_exe' : [None, "-Wall"]
}
module_dir_switch = '-J'
module_include_switch = '-I'
if sys.platform.startswith(('aix', 'os400')):
executables['linker_so'].append('-lpthread')
if platform.architecture()[0][:2] == '64':
for key in ['compiler_f77', 'compiler_f90','compiler_fix','linker_so', 'linker_exe']:
executables[key].append('-maix64')
g2c = 'gfortran'
def _universal_flags(self, cmd):
"""Return a list of -arch flags for every supported architecture."""
if not sys.platform == 'darwin':
return []
arch_flags = []
# get arches the C compiler gets.
c_archs = self._c_arch_flags()
if "i386" in c_archs:
c_archs[c_archs.index("i386")] = "i686"
# check the arches the Fortran compiler supports, and compare with
# arch flags from C compiler
for arch in ["ppc", "i686", "x86_64", "ppc64", "s390x"]:
if _can_target(cmd, arch) and arch in c_archs:
arch_flags.extend(["-arch", arch])
return arch_flags
def get_flags(self):
flags = GnuFCompiler.get_flags(self)
arch_flags = self._universal_flags(self.compiler_f90)
if arch_flags:
flags[:0] = arch_flags
return flags
def get_flags_linker_so(self):
flags = GnuFCompiler.get_flags_linker_so(self)
arch_flags = self._universal_flags(self.linker_so)
if arch_flags:
flags[:0] = arch_flags
return flags
def get_library_dirs(self):
opt = GnuFCompiler.get_library_dirs(self)
if sys.platform == 'win32':
c_compiler = self.c_compiler
if c_compiler and c_compiler.compiler_type == "msvc":
target = self.get_target()
if target:
d = os.path.normpath(self.get_libgcc_dir())
root = os.path.join(d, *((os.pardir, ) * 4))
path = os.path.join(root, "lib")
mingwdir = os.path.normpath(path)
if os.path.exists(os.path.join(mingwdir, "libmingwex.a")):
opt.append(mingwdir)
# For Macports / Linux, libgfortran and libgcc are not co-located
lib_gfortran_dir = self.get_libgfortran_dir()
if lib_gfortran_dir:
opt.append(lib_gfortran_dir)
return opt
def get_libraries(self):
opt = GnuFCompiler.get_libraries(self)
if sys.platform == 'darwin':
opt.remove('cc_dynamic')
if sys.platform == 'win32':
c_compiler = self.c_compiler
if c_compiler and c_compiler.compiler_type == "msvc":
if "gcc" in opt:
i = opt.index("gcc")
opt.insert(i + 1, "mingwex")
opt.insert(i + 1, "mingw32")
c_compiler = self.c_compiler
if c_compiler and c_compiler.compiler_type == "msvc":
return []
else:
pass
return opt
def get_target(self):
try:
p = subprocess.Popen(
self.compiler_f77 + ['-v'],
stdin=subprocess.PIPE,
stderr=subprocess.PIPE,
)
stdout, stderr = p.communicate()
output = (stdout or b"") + (stderr or b"")
except (OSError, subprocess.CalledProcessError):
pass
else:
output = filepath_from_subprocess_output(output)
m = TARGET_R.search(output)
if m:
return m.group(1)
return ""
def _hash_files(self, filenames):
h = hashlib.sha1()
for fn in filenames:
with open(fn, 'rb') as f:
while True:
block = f.read(131072)
if not block:
break
h.update(block)
text = base64.b32encode(h.digest())
text = text.decode('ascii')
return text.rstrip('=')
def _link_wrapper_lib(self, objects, output_dir, extra_dll_dir,
chained_dlls, is_archive):
"""Create a wrapper shared library for the given objects
Return an MSVC-compatible lib
"""
c_compiler = self.c_compiler
if c_compiler.compiler_type != "msvc":
raise ValueError("This method only supports MSVC")
object_hash = self._hash_files(list(objects) + list(chained_dlls))
if is_win64():
tag = 'win_amd64'
else:
tag = 'win32'
basename = 'lib' + os.path.splitext(
os.path.basename(objects[0]))[0][:8]
root_name = basename + '.' + object_hash + '.gfortran-' + tag
dll_name = root_name + '.dll'
def_name = root_name + '.def'
lib_name = root_name + '.lib'
dll_path = os.path.join(extra_dll_dir, dll_name)
def_path = os.path.join(output_dir, def_name)
lib_path = os.path.join(output_dir, lib_name)
if os.path.isfile(lib_path):
# Nothing to do
return lib_path, dll_path
if is_archive:
objects = (["-Wl,--whole-archive"] + list(objects) +
["-Wl,--no-whole-archive"])
self.link_shared_object(
objects,
dll_name,
output_dir=extra_dll_dir,
extra_postargs=list(chained_dlls) + [
'-Wl,--allow-multiple-definition',
'-Wl,--output-def,' + def_path,
'-Wl,--export-all-symbols',
'-Wl,--enable-auto-import',
'-static',
'-mlong-double-64',
])
# No PowerPC!
if is_win64():
specifier = '/MACHINE:X64'
else:
specifier = '/MACHINE:X86'
# MSVC specific code
lib_args = ['/def:' + def_path, '/OUT:' + lib_path, specifier]
if not c_compiler.initialized:
c_compiler.initialize()
c_compiler.spawn([c_compiler.lib] + lib_args)
return lib_path, dll_path
def can_ccompiler_link(self, compiler):
# MSVC cannot link objects compiled by GNU fortran
return compiler.compiler_type not in ("msvc", )
def wrap_unlinkable_objects(self, objects, output_dir, extra_dll_dir):
"""
Convert a set of object files that are not compatible with the default
linker, to a file that is compatible.
"""
if self.c_compiler.compiler_type == "msvc":
# Compile a DLL and return the lib for the DLL as
# the object. Also keep track of previous DLLs that
# we have compiled so that we can link against them.
# If there are .a archives, assume they are self-contained
# static libraries, and build separate DLLs for each
archives = []
plain_objects = []
for obj in objects:
if obj.lower().endswith('.a'):
archives.append(obj)
else:
plain_objects.append(obj)
chained_libs = []
chained_dlls = []
for archive in archives[::-1]:
lib, dll = self._link_wrapper_lib(
[archive],
output_dir,
extra_dll_dir,
chained_dlls=chained_dlls,
is_archive=True)
chained_libs.insert(0, lib)
chained_dlls.insert(0, dll)
if not plain_objects:
return chained_libs
lib, dll = self._link_wrapper_lib(
plain_objects,
output_dir,
extra_dll_dir,
chained_dlls=chained_dlls,
is_archive=False)
return [lib] + chained_libs
else:
raise ValueError("Unsupported C compiler")
def _can_target(cmd, arch):
"""Return true if the architecture supports the -arch flag"""
newcmd = cmd[:]
fid, filename = tempfile.mkstemp(suffix=".f")
os.close(fid)
try:
d = os.path.dirname(filename)
output = os.path.splitext(filename)[0] + ".o"
try:
newcmd.extend(["-arch", arch, "-c", filename])
p = Popen(newcmd, stderr=STDOUT, stdout=PIPE, cwd=d)
p.communicate()
return p.returncode == 0
finally:
if os.path.exists(output):
os.remove(output)
finally:
os.remove(filename)
if __name__ == '__main__':
from distutils import log
from numpy.distutils import customized_fcompiler
log.set_verbosity(2)
print(customized_fcompiler('gnu').get_version())
try:
print(customized_fcompiler('g95').get_version())
except Exception as e:
print(e)
| 20,502 | Python | 35.875899 | 97 | 0.526339 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/nag.py | import sys
import re
from numpy.distutils.fcompiler import FCompiler
compilers = ['NAGFCompiler', 'NAGFORCompiler']
class BaseNAGFCompiler(FCompiler):
version_pattern = r'NAG.* Release (?P<version>[^(\s]*)'
def version_match(self, version_string):
m = re.search(self.version_pattern, version_string)
if m:
return m.group('version')
else:
return None
def get_flags_linker_so(self):
return ["-Wl,-shared"]
def get_flags_opt(self):
return ['-O4']
def get_flags_arch(self):
return []
class NAGFCompiler(BaseNAGFCompiler):
compiler_type = 'nag'
description = 'NAGWare Fortran 95 Compiler'
executables = {
'version_cmd' : ["<F90>", "-V"],
'compiler_f77' : ["f95", "-fixed"],
'compiler_fix' : ["f95", "-fixed"],
'compiler_f90' : ["f95"],
'linker_so' : ["<F90>"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
def get_flags_linker_so(self):
if sys.platform == 'darwin':
return ['-unsharedf95', '-Wl,-bundle,-flat_namespace,-undefined,suppress']
return BaseNAGFCompiler.get_flags_linker_so(self)
def get_flags_arch(self):
version = self.get_version()
if version and version < '5.1':
return ['-target=native']
else:
return BaseNAGFCompiler.get_flags_arch(self)
def get_flags_debug(self):
return ['-g', '-gline', '-g90', '-nan', '-C']
class NAGFORCompiler(BaseNAGFCompiler):
compiler_type = 'nagfor'
description = 'NAG Fortran Compiler'
executables = {
'version_cmd' : ["nagfor", "-V"],
'compiler_f77' : ["nagfor", "-fixed"],
'compiler_fix' : ["nagfor", "-fixed"],
'compiler_f90' : ["nagfor"],
'linker_so' : ["nagfor"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
def get_flags_linker_so(self):
if sys.platform == 'darwin':
return ['-unsharedrts',
'-Wl,-bundle,-flat_namespace,-undefined,suppress']
return BaseNAGFCompiler.get_flags_linker_so(self)
def get_flags_debug(self):
version = self.get_version()
if version and version > '6.1':
return ['-g', '-u', '-nan', '-C=all', '-thread_safe',
'-kind=unique', '-Warn=allocation', '-Warn=subnormal']
else:
return ['-g', '-nan', '-C=all', '-u', '-thread_safe']
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
from numpy.distutils import customized_fcompiler
compiler = customized_fcompiler(compiler='nagfor')
print(compiler.get_version())
print(compiler.get_flags_debug())
| 2,777 | Python | 30.568181 | 86 | 0.550954 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/arm.py | from __future__ import division, absolute_import, print_function
import sys
from numpy.distutils.fcompiler import FCompiler, dummy_fortran_file
from sys import platform
from os.path import join, dirname, normpath
compilers = ['ArmFlangCompiler']
import functools
class ArmFlangCompiler(FCompiler):
compiler_type = 'arm'
description = 'Arm Compiler'
version_pattern = r'\s*Arm.*version (?P<version>[\d.-]+).*'
ar_exe = 'lib.exe'
possible_executables = ['armflang']
executables = {
'version_cmd': ["", "--version"],
'compiler_f77': ["armflang", "-fPIC"],
'compiler_fix': ["armflang", "-fPIC", "-ffixed-form"],
'compiler_f90': ["armflang", "-fPIC"],
'linker_so': ["armflang", "-fPIC", "-shared"],
'archiver': ["ar", "-cr"],
'ranlib': None
}
pic_flags = ["-fPIC", "-DPIC"]
c_compiler = 'arm'
module_dir_switch = '-module ' # Don't remove ending space!
def get_libraries(self):
opt = FCompiler.get_libraries(self)
opt.extend(['flang', 'flangrti', 'ompstub'])
return opt
@functools.lru_cache(maxsize=128)
def get_library_dirs(self):
"""List of compiler library directories."""
opt = FCompiler.get_library_dirs(self)
flang_dir = dirname(self.executables['compiler_f77'][0])
opt.append(normpath(join(flang_dir, '..', 'lib')))
return opt
def get_flags(self):
return []
def get_flags_free(self):
return []
def get_flags_debug(self):
return ['-g']
def get_flags_opt(self):
return ['-O3']
def get_flags_arch(self):
return []
def runtime_library_dir_option(self, dir):
return '-Wl,-rpath=%s' % dir
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
from numpy.distutils import customized_fcompiler
print(customized_fcompiler(compiler='armflang').get_version())
| 2,235 | Python | 29.216216 | 79 | 0.524385 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/pg.py | # http://www.pgroup.com
import sys
from numpy.distutils.fcompiler import FCompiler
from sys import platform
from os.path import join, dirname, normpath
compilers = ['PGroupFCompiler', 'PGroupFlangCompiler']
class PGroupFCompiler(FCompiler):
compiler_type = 'pg'
description = 'Portland Group Fortran Compiler'
version_pattern = r'\s*pg(f77|f90|hpf|fortran) (?P<version>[\d.-]+).*'
if platform == 'darwin':
executables = {
'version_cmd': ["<F77>", "-V"],
'compiler_f77': ["pgfortran", "-dynamiclib"],
'compiler_fix': ["pgfortran", "-Mfixed", "-dynamiclib"],
'compiler_f90': ["pgfortran", "-dynamiclib"],
'linker_so': ["libtool"],
'archiver': ["ar", "-cr"],
'ranlib': ["ranlib"]
}
pic_flags = ['']
else:
executables = {
'version_cmd': ["<F77>", "-V"],
'compiler_f77': ["pgfortran"],
'compiler_fix': ["pgfortran", "-Mfixed"],
'compiler_f90': ["pgfortran"],
'linker_so': ["<F90>"],
'archiver': ["ar", "-cr"],
'ranlib': ["ranlib"]
}
pic_flags = ['-fpic']
module_dir_switch = '-module '
module_include_switch = '-I'
def get_flags(self):
opt = ['-Minform=inform', '-Mnosecond_underscore']
return self.pic_flags + opt
def get_flags_opt(self):
return ['-fast']
def get_flags_debug(self):
return ['-g']
if platform == 'darwin':
def get_flags_linker_so(self):
return ["-dynamic", '-undefined', 'dynamic_lookup']
else:
def get_flags_linker_so(self):
return ["-shared", '-fpic']
def runtime_library_dir_option(self, dir):
return '-R%s' % dir
import functools
class PGroupFlangCompiler(FCompiler):
compiler_type = 'flang'
description = 'Portland Group Fortran LLVM Compiler'
version_pattern = r'\s*(flang|clang) version (?P<version>[\d.-]+).*'
ar_exe = 'lib.exe'
possible_executables = ['flang']
executables = {
'version_cmd': ["<F77>", "--version"],
'compiler_f77': ["flang"],
'compiler_fix': ["flang"],
'compiler_f90': ["flang"],
'linker_so': [None],
'archiver': [ar_exe, "/verbose", "/OUT:"],
'ranlib': None
}
library_switch = '/OUT:' # No space after /OUT:!
module_dir_switch = '-module ' # Don't remove ending space!
def get_libraries(self):
opt = FCompiler.get_libraries(self)
opt.extend(['flang', 'flangrti', 'ompstub'])
return opt
@functools.lru_cache(maxsize=128)
def get_library_dirs(self):
"""List of compiler library directories."""
opt = FCompiler.get_library_dirs(self)
flang_dir = dirname(self.executables['compiler_f77'][0])
opt.append(normpath(join(flang_dir, '..', 'lib')))
return opt
def get_flags(self):
return []
def get_flags_free(self):
return []
def get_flags_debug(self):
return ['-g']
def get_flags_opt(self):
return ['-O3']
def get_flags_arch(self):
return []
def runtime_library_dir_option(self, dir):
raise NotImplementedError
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
from numpy.distutils import customized_fcompiler
if 'flang' in sys.argv:
print(customized_fcompiler(compiler='flang').get_version())
else:
print(customized_fcompiler(compiler='pg').get_version())
| 3,568 | Python | 26.666666 | 74 | 0.557175 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/g95.py | # http://g95.sourceforge.net/
from numpy.distutils.fcompiler import FCompiler
compilers = ['G95FCompiler']
class G95FCompiler(FCompiler):
compiler_type = 'g95'
description = 'G95 Fortran Compiler'
# version_pattern = r'G95 \((GCC (?P<gccversion>[\d.]+)|.*?) \(g95!\) (?P<version>.*)\).*'
# $ g95 --version
# G95 (GCC 4.0.3 (g95!) May 22 2006)
version_pattern = r'G95 \((GCC (?P<gccversion>[\d.]+)|.*?) \(g95 (?P<version>.*)!\) (?P<date>.*)\).*'
# $ g95 --version
# G95 (GCC 4.0.3 (g95 0.90!) Aug 22 2006)
executables = {
'version_cmd' : ["<F90>", "--version"],
'compiler_f77' : ["g95", "-ffixed-form"],
'compiler_fix' : ["g95", "-ffixed-form"],
'compiler_f90' : ["g95"],
'linker_so' : ["<F90>", "-shared"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
pic_flags = ['-fpic']
module_dir_switch = '-fmod='
module_include_switch = '-I'
def get_flags(self):
return ['-fno-second-underscore']
def get_flags_opt(self):
return ['-O']
def get_flags_debug(self):
return ['-g']
if __name__ == '__main__':
from distutils import log
from numpy.distutils import customized_fcompiler
log.set_verbosity(2)
print(customized_fcompiler('g95').get_version())
| 1,330 | Python | 29.953488 | 105 | 0.539098 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/ibm.py | import os
import re
import sys
import subprocess
from numpy.distutils.fcompiler import FCompiler
from numpy.distutils.exec_command import find_executable
from numpy.distutils.misc_util import make_temp_file
from distutils import log
compilers = ['IBMFCompiler']
class IBMFCompiler(FCompiler):
compiler_type = 'ibm'
description = 'IBM XL Fortran Compiler'
version_pattern = r'(xlf\(1\)\s*|)IBM XL Fortran ((Advanced Edition |)Version |Enterprise Edition V|for AIX, V)(?P<version>[^\s*]*)'
#IBM XL Fortran Enterprise Edition V10.1 for AIX \nVersion: 10.01.0000.0004
executables = {
'version_cmd' : ["<F77>", "-qversion"],
'compiler_f77' : ["xlf"],
'compiler_fix' : ["xlf90", "-qfixed"],
'compiler_f90' : ["xlf90"],
'linker_so' : ["xlf95"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
def get_version(self,*args,**kwds):
version = FCompiler.get_version(self,*args,**kwds)
if version is None and sys.platform.startswith('aix'):
# use lslpp to find out xlf version
lslpp = find_executable('lslpp')
xlf = find_executable('xlf')
if os.path.exists(xlf) and os.path.exists(lslpp):
try:
o = subprocess.check_output([lslpp, '-Lc', 'xlfcmp'])
except (OSError, subprocess.CalledProcessError):
pass
else:
m = re.search(r'xlfcmp:(?P<version>\d+([.]\d+)+)', o)
if m: version = m.group('version')
xlf_dir = '/etc/opt/ibmcmp/xlf'
if version is None and os.path.isdir(xlf_dir):
# linux:
# If the output of xlf does not contain version info
# (that's the case with xlf 8.1, for instance) then
# let's try another method:
l = sorted(os.listdir(xlf_dir))
l.reverse()
l = [d for d in l if os.path.isfile(os.path.join(xlf_dir, d, 'xlf.cfg'))]
if l:
from distutils.version import LooseVersion
self.version = version = LooseVersion(l[0])
return version
def get_flags(self):
return ['-qextname']
def get_flags_debug(self):
return ['-g']
def get_flags_linker_so(self):
opt = []
if sys.platform=='darwin':
opt.append('-Wl,-bundle,-flat_namespace,-undefined,suppress')
else:
opt.append('-bshared')
version = self.get_version(ok_status=[0, 40])
if version is not None:
if sys.platform.startswith('aix'):
xlf_cfg = '/etc/xlf.cfg'
else:
xlf_cfg = '/etc/opt/ibmcmp/xlf/%s/xlf.cfg' % version
fo, new_cfg = make_temp_file(suffix='_xlf.cfg')
log.info('Creating '+new_cfg)
with open(xlf_cfg, 'r') as fi:
crt1_match = re.compile(r'\s*crt\s*=\s*(?P<path>.*)/crt1.o').match
for line in fi:
m = crt1_match(line)
if m:
fo.write('crt = %s/bundle1.o\n' % (m.group('path')))
else:
fo.write(line)
fo.close()
opt.append('-F'+new_cfg)
return opt
def get_flags_opt(self):
return ['-O3']
if __name__ == '__main__':
from numpy.distutils import customized_fcompiler
log.set_verbosity(2)
print(customized_fcompiler(compiler='ibm').get_version())
| 3,539 | Python | 35.122449 | 137 | 0.532354 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/nv.py | from numpy.distutils.fcompiler import FCompiler
compilers = ['NVHPCFCompiler']
class NVHPCFCompiler(FCompiler):
""" NVIDIA High Performance Computing (HPC) SDK Fortran Compiler
https://developer.nvidia.com/hpc-sdk
Since august 2020 the NVIDIA HPC SDK includes the compilers formerly known as The Portland Group compilers,
https://www.pgroup.com/index.htm.
See also `numpy.distutils.fcompiler.pg`.
"""
compiler_type = 'nv'
description = 'NVIDIA HPC SDK'
version_pattern = r'\s*(nvfortran|(pg(f77|f90|fortran)) \(aka nvfortran\)) (?P<version>[\d.-]+).*'
executables = {
'version_cmd': ["<F90>", "-V"],
'compiler_f77': ["nvfortran"],
'compiler_fix': ["nvfortran", "-Mfixed"],
'compiler_f90': ["nvfortran"],
'linker_so': ["<F90>"],
'archiver': ["ar", "-cr"],
'ranlib': ["ranlib"]
}
pic_flags = ['-fpic']
module_dir_switch = '-module '
module_include_switch = '-I'
def get_flags(self):
opt = ['-Minform=inform', '-Mnosecond_underscore']
return self.pic_flags + opt
def get_flags_opt(self):
return ['-fast']
def get_flags_debug(self):
return ['-g']
def get_flags_linker_so(self):
return ["-shared", '-fpic']
def runtime_library_dir_option(self, dir):
return '-R%s' % dir
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
from numpy.distutils import customized_fcompiler
print(customized_fcompiler(compiler='nv').get_version())
| 1,560 | Python | 27.907407 | 111 | 0.603205 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/fcompiler/fujitsu.py | """
fujitsu
Supports Fujitsu compiler function.
This compiler is developed by Fujitsu and is used in A64FX on Fugaku.
"""
from numpy.distutils.fcompiler import FCompiler
compilers = ['FujitsuFCompiler']
class FujitsuFCompiler(FCompiler):
compiler_type = 'fujitsu'
description = 'Fujitsu Fortran Compiler'
possible_executables = ['frt']
version_pattern = r'frt \(FRT\) (?P<version>[a-z\d.]+)'
# $ frt --version
# frt (FRT) x.x.x yyyymmdd
executables = {
'version_cmd' : ["<F77>", "--version"],
'compiler_f77' : ["frt", "-Fixed"],
'compiler_fix' : ["frt", "-Fixed"],
'compiler_f90' : ["frt"],
'linker_so' : ["frt", "-shared"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
pic_flags = ['-KPIC']
module_dir_switch = '-M'
module_include_switch = '-I'
def get_flags_opt(self):
return ['-O3']
def get_flags_debug(self):
return ['-g']
def runtime_library_dir_option(self, dir):
return f'-Wl,-rpath={dir}'
def get_libraries(self):
return ['fj90f', 'fj90i', 'fjsrcinfo']
if __name__ == '__main__':
from distutils import log
from numpy.distutils import customized_fcompiler
log.set_verbosity(2)
print(customized_fcompiler('fujitsu').get_version())
| 1,333 | Python | 27.382978 | 69 | 0.581395 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_ccompiler_opt.py | import re, textwrap, os
from os import sys, path
from distutils.errors import DistutilsError
is_standalone = __name__ == '__main__' and __package__ is None
if is_standalone:
import unittest, contextlib, tempfile, shutil
sys.path.append(path.abspath(path.join(path.dirname(__file__), "..")))
from ccompiler_opt import CCompilerOpt
# from numpy/testing/_private/utils.py
@contextlib.contextmanager
def tempdir(*args, **kwargs):
tmpdir = tempfile.mkdtemp(*args, **kwargs)
try:
yield tmpdir
finally:
shutil.rmtree(tmpdir)
def assert_(expr, msg=''):
if not expr:
raise AssertionError(msg)
else:
from numpy.distutils.ccompiler_opt import CCompilerOpt
from numpy.testing import assert_, tempdir
# architectures and compilers to test
arch_compilers = dict(
x86 = ("gcc", "clang", "icc", "iccw", "msvc"),
x64 = ("gcc", "clang", "icc", "iccw", "msvc"),
ppc64 = ("gcc", "clang"),
ppc64le = ("gcc", "clang"),
armhf = ("gcc", "clang"),
aarch64 = ("gcc", "clang"),
s390x = ("gcc", "clang"),
noarch = ("gcc",)
)
class FakeCCompilerOpt(CCompilerOpt):
fake_info = ""
def __init__(self, trap_files="", trap_flags="", *args, **kwargs):
self.fake_trap_files = trap_files
self.fake_trap_flags = trap_flags
CCompilerOpt.__init__(self, None, **kwargs)
def __repr__(self):
return textwrap.dedent("""\
<<<<
march : {}
compiler : {}
----------------
{}
>>>>
""").format(self.cc_march, self.cc_name, self.report())
def dist_compile(self, sources, flags, **kwargs):
assert(isinstance(sources, list))
assert(isinstance(flags, list))
if self.fake_trap_files:
for src in sources:
if re.match(self.fake_trap_files, src):
self.dist_error("source is trapped by a fake interface")
if self.fake_trap_flags:
for f in flags:
if re.match(self.fake_trap_flags, f):
self.dist_error("flag is trapped by a fake interface")
# fake objects
return zip(sources, [' '.join(flags)] * len(sources))
def dist_info(self):
return FakeCCompilerOpt.fake_info
@staticmethod
def dist_log(*args, stderr=False):
pass
class _Test_CCompilerOpt:
arch = None # x86_64
cc = None # gcc
def setup_class(self):
FakeCCompilerOpt.conf_nocache = True
self._opt = None
def nopt(self, *args, **kwargs):
FakeCCompilerOpt.fake_info = (self.arch, self.cc, "")
return FakeCCompilerOpt(*args, **kwargs)
def opt(self):
if not self._opt:
self._opt = self.nopt()
return self._opt
def march(self):
return self.opt().cc_march
def cc_name(self):
return self.opt().cc_name
def get_targets(self, targets, groups, **kwargs):
FakeCCompilerOpt.conf_target_groups = groups
opt = self.nopt(
cpu_baseline=kwargs.get("baseline", "min"),
cpu_dispatch=kwargs.get("dispatch", "max"),
trap_files=kwargs.get("trap_files", ""),
trap_flags=kwargs.get("trap_flags", "")
)
with tempdir() as tmpdir:
file = os.path.join(tmpdir, "test_targets.c")
with open(file, 'w') as f:
f.write(targets)
gtargets = []
gflags = {}
fake_objects = opt.try_dispatch([file])
for source, flags in fake_objects:
gtar = path.basename(source).split('.')[1:-1]
glen = len(gtar)
if glen == 0:
gtar = "baseline"
elif glen == 1:
gtar = gtar[0].upper()
else:
# converting multi-target into parentheses str format to be equivalent
# to the configuration statements syntax.
gtar = ('('+' '.join(gtar)+')').upper()
gtargets.append(gtar)
gflags[gtar] = flags
has_baseline, targets = opt.sources_status[file]
targets = targets + ["baseline"] if has_baseline else targets
# convert tuple that represent multi-target into parentheses str format
targets = [
'('+' '.join(tar)+')' if isinstance(tar, tuple) else tar
for tar in targets
]
if len(targets) != len(gtargets) or not all(t in gtargets for t in targets):
raise AssertionError(
"'sources_status' returns different targets than the compiled targets\n"
"%s != %s" % (targets, gtargets)
)
# return targets from 'sources_status' since the order is matters
return targets, gflags
def arg_regex(self, **kwargs):
map2origin = dict(
x64 = "x86",
ppc64le = "ppc64",
aarch64 = "armhf",
clang = "gcc",
)
march = self.march(); cc_name = self.cc_name()
map_march = map2origin.get(march, march)
map_cc = map2origin.get(cc_name, cc_name)
for key in (
march, cc_name, map_march, map_cc,
march + '_' + cc_name,
map_march + '_' + cc_name,
march + '_' + map_cc,
map_march + '_' + map_cc,
) :
regex = kwargs.pop(key, None)
if regex is not None:
break
if regex:
if isinstance(regex, dict):
for k, v in regex.items():
if v[-1:] not in ')}$?\\.+*':
regex[k] = v + '$'
else:
assert(isinstance(regex, str))
if regex[-1:] not in ')}$?\\.+*':
regex += '$'
return regex
def expect(self, dispatch, baseline="", **kwargs):
match = self.arg_regex(**kwargs)
if match is None:
return
opt = self.nopt(
cpu_baseline=baseline, cpu_dispatch=dispatch,
trap_files=kwargs.get("trap_files", ""),
trap_flags=kwargs.get("trap_flags", "")
)
features = ' '.join(opt.cpu_dispatch_names())
if not match:
if len(features) != 0:
raise AssertionError(
'expected empty features, not "%s"' % features
)
return
if not re.match(match, features, re.IGNORECASE):
raise AssertionError(
'dispatch features "%s" not match "%s"' % (features, match)
)
def expect_baseline(self, baseline, dispatch="", **kwargs):
match = self.arg_regex(**kwargs)
if match is None:
return
opt = self.nopt(
cpu_baseline=baseline, cpu_dispatch=dispatch,
trap_files=kwargs.get("trap_files", ""),
trap_flags=kwargs.get("trap_flags", "")
)
features = ' '.join(opt.cpu_baseline_names())
if not match:
if len(features) != 0:
raise AssertionError(
'expected empty features, not "%s"' % features
)
return
if not re.match(match, features, re.IGNORECASE):
raise AssertionError(
'baseline features "%s" not match "%s"' % (features, match)
)
def expect_flags(self, baseline, dispatch="", **kwargs):
match = self.arg_regex(**kwargs)
if match is None:
return
opt = self.nopt(
cpu_baseline=baseline, cpu_dispatch=dispatch,
trap_files=kwargs.get("trap_files", ""),
trap_flags=kwargs.get("trap_flags", "")
)
flags = ' '.join(opt.cpu_baseline_flags())
if not match:
if len(flags) != 0:
raise AssertionError(
'expected empty flags not "%s"' % flags
)
return
if not re.match(match, flags):
raise AssertionError(
'flags "%s" not match "%s"' % (flags, match)
)
def expect_targets(self, targets, groups={}, **kwargs):
match = self.arg_regex(**kwargs)
if match is None:
return
targets, _ = self.get_targets(targets=targets, groups=groups, **kwargs)
targets = ' '.join(targets)
if not match:
if len(targets) != 0:
raise AssertionError(
'expected empty targets, not "%s"' % targets
)
return
if not re.match(match, targets, re.IGNORECASE):
raise AssertionError(
'targets "%s" not match "%s"' % (targets, match)
)
def expect_target_flags(self, targets, groups={}, **kwargs):
match_dict = self.arg_regex(**kwargs)
if match_dict is None:
return
assert(isinstance(match_dict, dict))
_, tar_flags = self.get_targets(targets=targets, groups=groups)
for match_tar, match_flags in match_dict.items():
if match_tar not in tar_flags:
raise AssertionError(
'expected to find target "%s"' % match_tar
)
flags = tar_flags[match_tar]
if not match_flags:
if len(flags) != 0:
raise AssertionError(
'expected to find empty flags in target "%s"' % match_tar
)
if not re.match(match_flags, flags):
raise AssertionError(
'"%s" flags "%s" not match "%s"' % (match_tar, flags, match_flags)
)
def test_interface(self):
wrong_arch = "ppc64" if self.arch != "ppc64" else "x86"
wrong_cc = "clang" if self.cc != "clang" else "icc"
opt = self.opt()
assert_(getattr(opt, "cc_on_" + self.arch))
assert_(not getattr(opt, "cc_on_" + wrong_arch))
assert_(getattr(opt, "cc_is_" + self.cc))
assert_(not getattr(opt, "cc_is_" + wrong_cc))
def test_args_empty(self):
for baseline, dispatch in (
("", "none"),
(None, ""),
("none +none", "none - none"),
("none -max", "min - max"),
("+vsx2 -VSX2", "vsx avx2 avx512f -max"),
("max -vsx - avx + avx512f neon -MAX ",
"min -min + max -max -vsx + avx2 -avx2 +NONE")
) :
opt = self.nopt(cpu_baseline=baseline, cpu_dispatch=dispatch)
assert(len(opt.cpu_baseline_names()) == 0)
assert(len(opt.cpu_dispatch_names()) == 0)
def test_args_validation(self):
if self.march() == "unknown":
return
# check sanity of argument's validation
for baseline, dispatch in (
("unkown_feature - max +min", "unknown max min"), # unknowing features
("#avx2", "$vsx") # groups and polices aren't acceptable
) :
try:
self.nopt(cpu_baseline=baseline, cpu_dispatch=dispatch)
raise AssertionError("excepted an exception for invalid arguments")
except DistutilsError:
pass
def test_skip(self):
# only takes what platform supports and skip the others
# without casing exceptions
self.expect(
"sse vsx neon",
x86="sse", ppc64="vsx", armhf="neon", unknown=""
)
self.expect(
"sse41 avx avx2 vsx2 vsx3 neon_vfpv4 asimd",
x86 = "sse41 avx avx2",
ppc64 = "vsx2 vsx3",
armhf = "neon_vfpv4 asimd",
unknown = ""
)
# any features in cpu_dispatch must be ignored if it's part of baseline
self.expect(
"sse neon vsx", baseline="sse neon vsx",
x86="", ppc64="", armhf=""
)
self.expect(
"avx2 vsx3 asimdhp", baseline="avx2 vsx3 asimdhp",
x86="", ppc64="", armhf=""
)
def test_implies(self):
# baseline combining implied features, so we count
# on it instead of testing 'feature_implies()'' directly
self.expect_baseline(
"fma3 avx2 asimd vsx3",
# .* between two spaces can validate features in between
x86 = "sse .* sse41 .* fma3.*avx2",
ppc64 = "vsx vsx2 vsx3",
armhf = "neon neon_fp16 neon_vfpv4 asimd"
)
"""
special cases
"""
# in icc and msvc, FMA3 and AVX2 can't be separated
# both need to implies each other, same for avx512f & cd
for f0, f1 in (
("fma3", "avx2"),
("avx512f", "avx512cd"),
):
diff = ".* sse42 .* %s .*%s$" % (f0, f1)
self.expect_baseline(f0,
x86_gcc=".* sse42 .* %s$" % f0,
x86_icc=diff, x86_iccw=diff
)
self.expect_baseline(f1,
x86_gcc=".* avx .* %s$" % f1,
x86_icc=diff, x86_iccw=diff
)
# in msvc, following features can't be separated too
for f in (("fma3", "avx2"), ("avx512f", "avx512cd", "avx512_skx")):
for ff in f:
self.expect_baseline(ff,
x86_msvc=".*%s" % ' '.join(f)
)
# in ppc64le VSX and VSX2 can't be separated
self.expect_baseline("vsx", ppc64le="vsx vsx2")
# in aarch64 following features can't be separated
for f in ("neon", "neon_fp16", "neon_vfpv4", "asimd"):
self.expect_baseline(f, aarch64="neon neon_fp16 neon_vfpv4 asimd")
def test_args_options(self):
# max & native
for o in ("max", "native"):
if o == "native" and self.cc_name() == "msvc":
continue
self.expect(o,
trap_files=".*cpu_(sse|vsx|neon|vx).c",
x86="", ppc64="", armhf="", s390x=""
)
self.expect(o,
trap_files=".*cpu_(sse3|vsx2|neon_vfpv4|vxe).c",
x86="sse sse2", ppc64="vsx", armhf="neon neon_fp16",
aarch64="", ppc64le="", s390x="vx"
)
self.expect(o,
trap_files=".*cpu_(popcnt|vsx3).c",
x86="sse .* sse41", ppc64="vsx vsx2",
armhf="neon neon_fp16 .* asimd .*",
s390x="vx vxe vxe2"
)
self.expect(o,
x86_gcc=".* xop fma4 .* avx512f .* avx512_knl avx512_knm avx512_skx .*",
# in icc, xop and fam4 aren't supported
x86_icc=".* avx512f .* avx512_knl avx512_knm avx512_skx .*",
x86_iccw=".* avx512f .* avx512_knl avx512_knm avx512_skx .*",
# in msvc, avx512_knl avx512_knm aren't supported
x86_msvc=".* xop fma4 .* avx512f .* avx512_skx .*",
armhf=".* asimd asimdhp asimddp .*",
ppc64="vsx vsx2 vsx3 vsx4.*",
s390x="vx vxe vxe2.*"
)
# min
self.expect("min",
x86="sse sse2", x64="sse sse2 sse3",
armhf="", aarch64="neon neon_fp16 .* asimd",
ppc64="", ppc64le="vsx vsx2", s390x=""
)
self.expect(
"min", trap_files=".*cpu_(sse2|vsx2).c",
x86="", ppc64le=""
)
# an exception must triggered if native flag isn't supported
# when option "native" is activated through the args
try:
self.expect("native",
trap_flags=".*(-march=native|-xHost|/QxHost).*",
x86=".*", ppc64=".*", armhf=".*", s390x=".*"
)
if self.march() != "unknown":
raise AssertionError(
"excepted an exception for %s" % self.march()
)
except DistutilsError:
if self.march() == "unknown":
raise AssertionError("excepted no exceptions")
def test_flags(self):
self.expect_flags(
"sse sse2 vsx vsx2 neon neon_fp16 vx vxe",
x86_gcc="-msse -msse2", x86_icc="-msse -msse2",
x86_iccw="/arch:SSE2",
x86_msvc="/arch:SSE2" if self.march() == "x86" else "",
ppc64_gcc= "-mcpu=power8",
ppc64_clang="-maltivec -mvsx -mpower8-vector",
armhf_gcc="-mfpu=neon-fp16 -mfp16-format=ieee",
aarch64="",
s390x="-mzvector -march=arch12"
)
# testing normalize -march
self.expect_flags(
"asimd",
aarch64="",
armhf_gcc=r"-mfp16-format=ieee -mfpu=neon-fp-armv8 -march=armv8-a\+simd"
)
self.expect_flags(
"asimdhp",
aarch64_gcc=r"-march=armv8.2-a\+fp16",
armhf_gcc=r"-mfp16-format=ieee -mfpu=neon-fp-armv8 -march=armv8.2-a\+fp16"
)
self.expect_flags(
"asimddp", aarch64_gcc=r"-march=armv8.2-a\+dotprod"
)
self.expect_flags(
# asimdfhm implies asimdhp
"asimdfhm", aarch64_gcc=r"-march=armv8.2-a\+fp16\+fp16fml"
)
self.expect_flags(
"asimddp asimdhp asimdfhm",
aarch64_gcc=r"-march=armv8.2-a\+dotprod\+fp16\+fp16fml"
)
self.expect_flags(
"vx vxe vxe2",
s390x=r"-mzvector -march=arch13"
)
def test_targets_exceptions(self):
for targets in (
"bla bla", "/*@targets",
"/*@targets */",
"/*@targets unknown */",
"/*@targets $unknown_policy avx2 */",
"/*@targets #unknown_group avx2 */",
"/*@targets $ */",
"/*@targets # vsx */",
"/*@targets #$ vsx */",
"/*@targets vsx avx2 ) */",
"/*@targets vsx avx2 (avx2 */",
"/*@targets vsx avx2 () */",
"/*@targets vsx avx2 ($autovec) */", # no features
"/*@targets vsx avx2 (xxx) */",
"/*@targets vsx avx2 (baseline) */",
) :
try:
self.expect_targets(
targets,
x86="", armhf="", ppc64="", s390x=""
)
if self.march() != "unknown":
raise AssertionError(
"excepted an exception for %s" % self.march()
)
except DistutilsError:
if self.march() == "unknown":
raise AssertionError("excepted no exceptions")
def test_targets_syntax(self):
for targets in (
"/*@targets $keep_baseline sse vsx neon vx*/",
"/*@targets,$keep_baseline,sse,vsx,neon vx*/",
"/*@targets*$keep_baseline*sse*vsx*neon*vx*/",
"""
/*
** @targets
** $keep_baseline, sse vsx,neon, vx
*/
""",
"""
/*
************@targets****************
** $keep_baseline, sse vsx, neon, vx
************************************
*/
""",
"""
/*
/////////////@targets/////////////////
//$keep_baseline//sse//vsx//neon//vx
/////////////////////////////////////
*/
""",
"""
/*
@targets
$keep_baseline
SSE VSX NEON VX*/
"""
) :
self.expect_targets(targets,
x86="sse", ppc64="vsx", armhf="neon", s390x="vx", unknown=""
)
def test_targets(self):
# test skipping baseline features
self.expect_targets(
"""
/*@targets
sse sse2 sse41 avx avx2 avx512f
vsx vsx2 vsx3 vsx4
neon neon_fp16 asimdhp asimddp
vx vxe vxe2
*/
""",
baseline="avx vsx2 asimd vx vxe",
x86="avx512f avx2", armhf="asimddp asimdhp", ppc64="vsx4 vsx3",
s390x="vxe2"
)
# test skipping non-dispatch features
self.expect_targets(
"""
/*@targets
sse41 avx avx2 avx512f
vsx2 vsx3 vsx4
asimd asimdhp asimddp
vx vxe vxe2
*/
""",
baseline="", dispatch="sse41 avx2 vsx2 asimd asimddp vxe2",
x86="avx2 sse41", armhf="asimddp asimd", ppc64="vsx2", s390x="vxe2"
)
# test skipping features that not supported
self.expect_targets(
"""
/*@targets
sse2 sse41 avx2 avx512f
vsx2 vsx3 vsx4
neon asimdhp asimddp
vx vxe vxe2
*/
""",
baseline="",
trap_files=".*(avx2|avx512f|vsx3|vsx4|asimddp|vxe2).c",
x86="sse41 sse2", ppc64="vsx2", armhf="asimdhp neon",
s390x="vxe vx"
)
# test skipping features that implies each other
self.expect_targets(
"""
/*@targets
sse sse2 avx fma3 avx2 avx512f avx512cd
vsx vsx2 vsx3
neon neon_vfpv4 neon_fp16 neon_fp16 asimd asimdhp
asimddp asimdfhm
*/
""",
baseline="",
x86_gcc="avx512cd avx512f avx2 fma3 avx sse2",
x86_msvc="avx512cd avx2 avx sse2",
x86_icc="avx512cd avx2 avx sse2",
x86_iccw="avx512cd avx2 avx sse2",
ppc64="vsx3 vsx2 vsx",
ppc64le="vsx3 vsx2",
armhf="asimdfhm asimddp asimdhp asimd neon_vfpv4 neon_fp16 neon",
aarch64="asimdfhm asimddp asimdhp asimd"
)
def test_targets_policies(self):
# 'keep_baseline', generate objects for baseline features
self.expect_targets(
"""
/*@targets
$keep_baseline
sse2 sse42 avx2 avx512f
vsx2 vsx3
neon neon_vfpv4 asimd asimddp
vx vxe vxe2
*/
""",
baseline="sse41 avx2 vsx2 asimd vsx3 vxe",
x86="avx512f avx2 sse42 sse2",
ppc64="vsx3 vsx2",
armhf="asimddp asimd neon_vfpv4 neon",
# neon, neon_vfpv4, asimd implies each other
aarch64="asimddp asimd",
s390x="vxe2 vxe vx"
)
# 'keep_sort', leave the sort as-is
self.expect_targets(
"""
/*@targets
$keep_baseline $keep_sort
avx512f sse42 avx2 sse2
vsx2 vsx3
asimd neon neon_vfpv4 asimddp
vxe vxe2
*/
""",
x86="avx512f sse42 avx2 sse2",
ppc64="vsx2 vsx3",
armhf="asimd neon neon_vfpv4 asimddp",
# neon, neon_vfpv4, asimd implies each other
aarch64="asimd asimddp",
s390x="vxe vxe2"
)
# 'autovec', skipping features that can't be
# vectorized by the compiler
self.expect_targets(
"""
/*@targets
$keep_baseline $keep_sort $autovec
avx512f avx2 sse42 sse41 sse2
vsx3 vsx2
asimddp asimd neon_vfpv4 neon
*/
""",
x86_gcc="avx512f avx2 sse42 sse41 sse2",
x86_icc="avx512f avx2 sse42 sse41 sse2",
x86_iccw="avx512f avx2 sse42 sse41 sse2",
x86_msvc="avx512f avx2 sse2"
if self.march() == 'x86' else "avx512f avx2",
ppc64="vsx3 vsx2",
armhf="asimddp asimd neon_vfpv4 neon",
# neon, neon_vfpv4, asimd implies each other
aarch64="asimddp asimd"
)
for policy in ("$maxopt", "$autovec"):
# 'maxopt' and autovec set the max acceptable optimization flags
self.expect_target_flags(
"/*@targets baseline %s */" % policy,
gcc={"baseline":".*-O3.*"}, icc={"baseline":".*-O3.*"},
iccw={"baseline":".*/O3.*"}, msvc={"baseline":".*/O2.*"},
unknown={"baseline":".*"}
)
# 'werror', force compilers to treat warnings as errors
self.expect_target_flags(
"/*@targets baseline $werror */",
gcc={"baseline":".*-Werror.*"}, icc={"baseline":".*-Werror.*"},
iccw={"baseline":".*/Werror.*"}, msvc={"baseline":".*/WX.*"},
unknown={"baseline":".*"}
)
def test_targets_groups(self):
self.expect_targets(
"""
/*@targets $keep_baseline baseline #test_group */
""",
groups=dict(
test_group=("""
$keep_baseline
asimddp sse2 vsx2 avx2 vsx3
avx512f asimdhp
""")
),
x86="avx512f avx2 sse2 baseline",
ppc64="vsx3 vsx2 baseline",
armhf="asimddp asimdhp baseline"
)
# test skip duplicating and sorting
self.expect_targets(
"""
/*@targets
* sse42 avx avx512f
* #test_group_1
* vsx2
* #test_group_2
* asimddp asimdfhm
*/
""",
groups=dict(
test_group_1=("""
VSX2 vsx3 asimd avx2 SSE41
"""),
test_group_2=("""
vsx2 vsx3 asImd aVx2 sse41
""")
),
x86="avx512f avx2 avx sse42 sse41",
ppc64="vsx3 vsx2",
# vsx2 part of the default baseline of ppc64le, option ("min")
ppc64le="vsx3",
armhf="asimdfhm asimddp asimd",
# asimd part of the default baseline of aarch64, option ("min")
aarch64="asimdfhm asimddp"
)
def test_targets_multi(self):
self.expect_targets(
"""
/*@targets
(avx512_clx avx512_cnl) (asimdhp asimddp)
*/
""",
x86=r"\(avx512_clx avx512_cnl\)",
armhf=r"\(asimdhp asimddp\)",
)
# test skipping implied features and auto-sort
self.expect_targets(
"""
/*@targets
f16c (sse41 avx sse42) (sse3 avx2 avx512f)
vsx2 (vsx vsx3 vsx2)
(neon neon_vfpv4 asimd asimdhp asimddp)
*/
""",
x86="avx512f f16c avx",
ppc64="vsx3 vsx2",
ppc64le="vsx3", # vsx2 part of baseline
armhf=r"\(asimdhp asimddp\)",
)
# test skipping implied features and keep sort
self.expect_targets(
"""
/*@targets $keep_sort
(sse41 avx sse42) (sse3 avx2 avx512f)
(vsx vsx3 vsx2)
(asimddp neon neon_vfpv4 asimd asimdhp)
(vx vxe vxe2)
*/
""",
x86="avx avx512f",
ppc64="vsx3",
armhf=r"\(asimdhp asimddp\)",
s390x="vxe2"
)
# test compiler variety and avoiding duplicating
self.expect_targets(
"""
/*@targets $keep_sort
fma3 avx2 (fma3 avx2) (avx2 fma3) avx2 fma3
*/
""",
x86_gcc=r"fma3 avx2 \(fma3 avx2\)",
x86_icc="avx2", x86_iccw="avx2",
x86_msvc="avx2"
)
def new_test(arch, cc):
if is_standalone: return textwrap.dedent("""\
class TestCCompilerOpt_{class_name}(_Test_CCompilerOpt, unittest.TestCase):
arch = '{arch}'
cc = '{cc}'
def __init__(self, methodName="runTest"):
unittest.TestCase.__init__(self, methodName)
self.setup_class()
""").format(
class_name=arch + '_' + cc, arch=arch, cc=cc
)
return textwrap.dedent("""\
class TestCCompilerOpt_{class_name}(_Test_CCompilerOpt):
arch = '{arch}'
cc = '{cc}'
""").format(
class_name=arch + '_' + cc, arch=arch, cc=cc
)
"""
if 1 and is_standalone:
FakeCCompilerOpt.fake_info = "x86_icc"
cco = FakeCCompilerOpt(None, cpu_baseline="avx2")
print(' '.join(cco.cpu_baseline_names()))
print(cco.cpu_baseline_flags())
unittest.main()
sys.exit()
"""
for arch, compilers in arch_compilers.items():
for cc in compilers:
exec(new_test(arch, cc))
if is_standalone:
unittest.main()
| 28,763 | Python | 34.555006 | 90 | 0.481208 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_exec_command.py | import os
import sys
from tempfile import TemporaryFile
from numpy.distutils import exec_command
from numpy.distutils.exec_command import get_pythonexe
from numpy.testing import tempdir, assert_, assert_warns
# In python 3 stdout, stderr are text (unicode compliant) devices, so to
# emulate them import StringIO from the io module.
from io import StringIO
class redirect_stdout:
"""Context manager to redirect stdout for exec_command test."""
def __init__(self, stdout=None):
self._stdout = stdout or sys.stdout
def __enter__(self):
self.old_stdout = sys.stdout
sys.stdout = self._stdout
def __exit__(self, exc_type, exc_value, traceback):
self._stdout.flush()
sys.stdout = self.old_stdout
# note: closing sys.stdout won't close it.
self._stdout.close()
class redirect_stderr:
"""Context manager to redirect stderr for exec_command test."""
def __init__(self, stderr=None):
self._stderr = stderr or sys.stderr
def __enter__(self):
self.old_stderr = sys.stderr
sys.stderr = self._stderr
def __exit__(self, exc_type, exc_value, traceback):
self._stderr.flush()
sys.stderr = self.old_stderr
# note: closing sys.stderr won't close it.
self._stderr.close()
class emulate_nonposix:
"""Context manager to emulate os.name != 'posix' """
def __init__(self, osname='non-posix'):
self._new_name = osname
def __enter__(self):
self._old_name = os.name
os.name = self._new_name
def __exit__(self, exc_type, exc_value, traceback):
os.name = self._old_name
def test_exec_command_stdout():
# Regression test for gh-2999 and gh-2915.
# There are several packages (nose, scipy.weave.inline, Sage inline
# Fortran) that replace stdout, in which case it doesn't have a fileno
# method. This is tested here, with a do-nothing command that fails if the
# presence of fileno() is assumed in exec_command.
# The code has a special case for posix systems, so if we are on posix test
# both that the special case works and that the generic code works.
# Test posix version:
with redirect_stdout(StringIO()):
with redirect_stderr(TemporaryFile()):
with assert_warns(DeprecationWarning):
exec_command.exec_command("cd '.'")
if os.name == 'posix':
# Test general (non-posix) version:
with emulate_nonposix():
with redirect_stdout(StringIO()):
with redirect_stderr(TemporaryFile()):
with assert_warns(DeprecationWarning):
exec_command.exec_command("cd '.'")
def test_exec_command_stderr():
# Test posix version:
with redirect_stdout(TemporaryFile(mode='w+')):
with redirect_stderr(StringIO()):
with assert_warns(DeprecationWarning):
exec_command.exec_command("cd '.'")
if os.name == 'posix':
# Test general (non-posix) version:
with emulate_nonposix():
with redirect_stdout(TemporaryFile()):
with redirect_stderr(StringIO()):
with assert_warns(DeprecationWarning):
exec_command.exec_command("cd '.'")
class TestExecCommand:
def setup_method(self):
self.pyexe = get_pythonexe()
def check_nt(self, **kws):
s, o = exec_command.exec_command('cmd /C echo path=%path%')
assert_(s == 0)
assert_(o != '')
s, o = exec_command.exec_command(
'"%s" -c "import sys;sys.stderr.write(sys.platform)"' % self.pyexe)
assert_(s == 0)
assert_(o == 'win32')
def check_posix(self, **kws):
s, o = exec_command.exec_command("echo Hello", **kws)
assert_(s == 0)
assert_(o == 'Hello')
s, o = exec_command.exec_command('echo $AAA', **kws)
assert_(s == 0)
assert_(o == '')
s, o = exec_command.exec_command('echo "$AAA"', AAA='Tere', **kws)
assert_(s == 0)
assert_(o == 'Tere')
s, o = exec_command.exec_command('echo "$AAA"', **kws)
assert_(s == 0)
assert_(o == '')
if 'BBB' not in os.environ:
os.environ['BBB'] = 'Hi'
s, o = exec_command.exec_command('echo "$BBB"', **kws)
assert_(s == 0)
assert_(o == 'Hi')
s, o = exec_command.exec_command('echo "$BBB"', BBB='Hey', **kws)
assert_(s == 0)
assert_(o == 'Hey')
s, o = exec_command.exec_command('echo "$BBB"', **kws)
assert_(s == 0)
assert_(o == 'Hi')
del os.environ['BBB']
s, o = exec_command.exec_command('echo "$BBB"', **kws)
assert_(s == 0)
assert_(o == '')
s, o = exec_command.exec_command('this_is_not_a_command', **kws)
assert_(s != 0)
assert_(o != '')
s, o = exec_command.exec_command('echo path=$PATH', **kws)
assert_(s == 0)
assert_(o != '')
s, o = exec_command.exec_command(
'"%s" -c "import sys,os;sys.stderr.write(os.name)"' %
self.pyexe, **kws)
assert_(s == 0)
assert_(o == 'posix')
def check_basic(self, *kws):
s, o = exec_command.exec_command(
'"%s" -c "raise \'Ignore me.\'"' % self.pyexe, **kws)
assert_(s != 0)
assert_(o != '')
s, o = exec_command.exec_command(
'"%s" -c "import sys;sys.stderr.write(\'0\');'
'sys.stderr.write(\'1\');sys.stderr.write(\'2\')"' %
self.pyexe, **kws)
assert_(s == 0)
assert_(o == '012')
s, o = exec_command.exec_command(
'"%s" -c "import sys;sys.exit(15)"' % self.pyexe, **kws)
assert_(s == 15)
assert_(o == '')
s, o = exec_command.exec_command(
'"%s" -c "print(\'Heipa\'")' % self.pyexe, **kws)
assert_(s == 0)
assert_(o == 'Heipa')
def check_execute_in(self, **kws):
with tempdir() as tmpdir:
fn = "file"
tmpfile = os.path.join(tmpdir, fn)
with open(tmpfile, 'w') as f:
f.write('Hello')
s, o = exec_command.exec_command(
'"%s" -c "f = open(\'%s\', \'r\'); f.close()"' %
(self.pyexe, fn), **kws)
assert_(s != 0)
assert_(o != '')
s, o = exec_command.exec_command(
'"%s" -c "f = open(\'%s\', \'r\'); print(f.read()); '
'f.close()"' % (self.pyexe, fn), execute_in=tmpdir, **kws)
assert_(s == 0)
assert_(o == 'Hello')
def test_basic(self):
with redirect_stdout(StringIO()):
with redirect_stderr(StringIO()):
with assert_warns(DeprecationWarning):
if os.name == "posix":
self.check_posix(use_tee=0)
self.check_posix(use_tee=1)
elif os.name == "nt":
self.check_nt(use_tee=0)
self.check_nt(use_tee=1)
self.check_execute_in(use_tee=0)
self.check_execute_in(use_tee=1)
| 7,308 | Python | 32.995349 | 79 | 0.52422 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_log.py | import io
import re
from contextlib import redirect_stdout
import pytest
from numpy.distutils import log
def setup_module():
f = io.StringIO() # changing verbosity also logs here, capture that
with redirect_stdout(f):
log.set_verbosity(2, force=True) # i.e. DEBUG
def teardown_module():
log.set_verbosity(0, force=True) # the default
r_ansi = re.compile(r"\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])")
@pytest.mark.parametrize("func_name", ["error", "warn", "info", "debug"])
def test_log_prefix(func_name):
func = getattr(log, func_name)
msg = f"{func_name} message"
f = io.StringIO()
with redirect_stdout(f):
func(msg)
out = f.getvalue()
assert out # sanity check
clean_out = r_ansi.sub("", out)
line = next(line for line in clean_out.splitlines())
assert line == f"{func_name.upper()}: {msg}"
| 868 | Python | 23.828571 | 73 | 0.625576 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_from_template.py |
from numpy.distutils.from_template import process_str
from numpy.testing import assert_equal
pyf_src = """
python module foo
<_rd=real,double precision>
interface
subroutine <s,d>foosub(tol)
<_rd>, intent(in,out) :: tol
end subroutine <s,d>foosub
end interface
end python module foo
"""
expected_pyf = """
python module foo
interface
subroutine sfoosub(tol)
real, intent(in,out) :: tol
end subroutine sfoosub
subroutine dfoosub(tol)
double precision, intent(in,out) :: tol
end subroutine dfoosub
end interface
end python module foo
"""
def normalize_whitespace(s):
"""
Remove leading and trailing whitespace, and convert internal
stretches of whitespace to a single space.
"""
return ' '.join(s.split())
def test_from_template():
"""Regression test for gh-10712."""
pyf = process_str(pyf_src)
normalized_pyf = normalize_whitespace(pyf)
normalized_expected_pyf = normalize_whitespace(expected_pyf)
assert_equal(normalized_pyf, normalized_expected_pyf)
| 1,103 | Python | 23.533333 | 64 | 0.660925 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_system_info.py | import os
import shutil
import pytest
from tempfile import mkstemp, mkdtemp
from subprocess import Popen, PIPE
from distutils.errors import DistutilsError
from numpy.testing import assert_, assert_equal, assert_raises
from numpy.distutils import ccompiler, customized_ccompiler
from numpy.distutils.system_info import system_info, ConfigParser, mkl_info
from numpy.distutils.system_info import AliasedOptionError
from numpy.distutils.system_info import default_lib_dirs, default_include_dirs
from numpy.distutils import _shell_utils
def get_class(name, notfound_action=1):
"""
notfound_action:
0 - do nothing
1 - display warning message
2 - raise error
"""
cl = {'temp1': Temp1Info,
'temp2': Temp2Info,
'duplicate_options': DuplicateOptionInfo,
}.get(name.lower(), _system_info)
return cl()
simple_site = """
[ALL]
library_dirs = {dir1:s}{pathsep:s}{dir2:s}
libraries = {lib1:s},{lib2:s}
extra_compile_args = -I/fake/directory -I"/path with/spaces" -Os
runtime_library_dirs = {dir1:s}
[temp1]
library_dirs = {dir1:s}
libraries = {lib1:s}
runtime_library_dirs = {dir1:s}
[temp2]
library_dirs = {dir2:s}
libraries = {lib2:s}
extra_link_args = -Wl,-rpath={lib2_escaped:s}
rpath = {dir2:s}
[duplicate_options]
mylib_libs = {lib1:s}
libraries = {lib2:s}
"""
site_cfg = simple_site
fakelib_c_text = """
/* This file is generated from numpy/distutils/testing/test_system_info.py */
#include<stdio.h>
void foo(void) {
printf("Hello foo");
}
void bar(void) {
printf("Hello bar");
}
"""
def have_compiler():
""" Return True if there appears to be an executable compiler
"""
compiler = customized_ccompiler()
try:
cmd = compiler.compiler # Unix compilers
except AttributeError:
try:
if not compiler.initialized:
compiler.initialize() # MSVC is different
except (DistutilsError, ValueError):
return False
cmd = [compiler.cc]
try:
p = Popen(cmd, stdout=PIPE, stderr=PIPE)
p.stdout.close()
p.stderr.close()
p.wait()
except OSError:
return False
return True
HAVE_COMPILER = have_compiler()
class _system_info(system_info):
def __init__(self,
default_lib_dirs=default_lib_dirs,
default_include_dirs=default_include_dirs,
verbosity=1,
):
self.__class__.info = {}
self.local_prefixes = []
defaults = {'library_dirs': '',
'include_dirs': '',
'runtime_library_dirs': '',
'rpath': '',
'src_dirs': '',
'search_static_first': "0",
'extra_compile_args': '',
'extra_link_args': ''}
self.cp = ConfigParser(defaults)
# We have to parse the config files afterwards
# to have a consistent temporary filepath
def _check_libs(self, lib_dirs, libs, opt_libs, exts):
"""Override _check_libs to return with all dirs """
info = {'libraries': libs, 'library_dirs': lib_dirs}
return info
class Temp1Info(_system_info):
"""For testing purposes"""
section = 'temp1'
class Temp2Info(_system_info):
"""For testing purposes"""
section = 'temp2'
class DuplicateOptionInfo(_system_info):
"""For testing purposes"""
section = 'duplicate_options'
class TestSystemInfoReading:
def setup_method(self):
""" Create the libraries """
# Create 2 sources and 2 libraries
self._dir1 = mkdtemp()
self._src1 = os.path.join(self._dir1, 'foo.c')
self._lib1 = os.path.join(self._dir1, 'libfoo.so')
self._dir2 = mkdtemp()
self._src2 = os.path.join(self._dir2, 'bar.c')
self._lib2 = os.path.join(self._dir2, 'libbar.so')
# Update local site.cfg
global simple_site, site_cfg
site_cfg = simple_site.format(**{
'dir1': self._dir1,
'lib1': self._lib1,
'dir2': self._dir2,
'lib2': self._lib2,
'pathsep': os.pathsep,
'lib2_escaped': _shell_utils.NativeParser.join([self._lib2])
})
# Write site.cfg
fd, self._sitecfg = mkstemp()
os.close(fd)
with open(self._sitecfg, 'w') as fd:
fd.write(site_cfg)
# Write the sources
with open(self._src1, 'w') as fd:
fd.write(fakelib_c_text)
with open(self._src2, 'w') as fd:
fd.write(fakelib_c_text)
# We create all class-instances
def site_and_parse(c, site_cfg):
c.files = [site_cfg]
c.parse_config_files()
return c
self.c_default = site_and_parse(get_class('default'), self._sitecfg)
self.c_temp1 = site_and_parse(get_class('temp1'), self._sitecfg)
self.c_temp2 = site_and_parse(get_class('temp2'), self._sitecfg)
self.c_dup_options = site_and_parse(get_class('duplicate_options'),
self._sitecfg)
def teardown_method(self):
# Do each removal separately
try:
shutil.rmtree(self._dir1)
except Exception:
pass
try:
shutil.rmtree(self._dir2)
except Exception:
pass
try:
os.remove(self._sitecfg)
except Exception:
pass
def test_all(self):
# Read in all information in the ALL block
tsi = self.c_default
assert_equal(tsi.get_lib_dirs(), [self._dir1, self._dir2])
assert_equal(tsi.get_libraries(), [self._lib1, self._lib2])
assert_equal(tsi.get_runtime_lib_dirs(), [self._dir1])
extra = tsi.calc_extra_info()
assert_equal(extra['extra_compile_args'], ['-I/fake/directory', '-I/path with/spaces', '-Os'])
def test_temp1(self):
# Read in all information in the temp1 block
tsi = self.c_temp1
assert_equal(tsi.get_lib_dirs(), [self._dir1])
assert_equal(tsi.get_libraries(), [self._lib1])
assert_equal(tsi.get_runtime_lib_dirs(), [self._dir1])
def test_temp2(self):
# Read in all information in the temp2 block
tsi = self.c_temp2
assert_equal(tsi.get_lib_dirs(), [self._dir2])
assert_equal(tsi.get_libraries(), [self._lib2])
# Now from rpath and not runtime_library_dirs
assert_equal(tsi.get_runtime_lib_dirs(key='rpath'), [self._dir2])
extra = tsi.calc_extra_info()
assert_equal(extra['extra_link_args'], ['-Wl,-rpath=' + self._lib2])
def test_duplicate_options(self):
# Ensure that duplicates are raising an AliasedOptionError
tsi = self.c_dup_options
assert_raises(AliasedOptionError, tsi.get_option_single, "mylib_libs", "libraries")
assert_equal(tsi.get_libs("mylib_libs", [self._lib1]), [self._lib1])
assert_equal(tsi.get_libs("libraries", [self._lib2]), [self._lib2])
@pytest.mark.skipif(not HAVE_COMPILER, reason="Missing compiler")
def test_compile1(self):
# Compile source and link the first source
c = customized_ccompiler()
previousDir = os.getcwd()
try:
# Change directory to not screw up directories
os.chdir(self._dir1)
c.compile([os.path.basename(self._src1)], output_dir=self._dir1)
# Ensure that the object exists
assert_(os.path.isfile(self._src1.replace('.c', '.o')) or
os.path.isfile(self._src1.replace('.c', '.obj')))
finally:
os.chdir(previousDir)
@pytest.mark.skipif(not HAVE_COMPILER, reason="Missing compiler")
@pytest.mark.skipif('msvc' in repr(ccompiler.new_compiler()),
reason="Fails with MSVC compiler ")
def test_compile2(self):
# Compile source and link the second source
tsi = self.c_temp2
c = customized_ccompiler()
extra_link_args = tsi.calc_extra_info()['extra_link_args']
previousDir = os.getcwd()
try:
# Change directory to not screw up directories
os.chdir(self._dir2)
c.compile([os.path.basename(self._src2)], output_dir=self._dir2,
extra_postargs=extra_link_args)
# Ensure that the object exists
assert_(os.path.isfile(self._src2.replace('.c', '.o')))
finally:
os.chdir(previousDir)
HAS_MKL = "mkl_rt" in mkl_info().calc_libraries_info().get("libraries", [])
@pytest.mark.xfail(HAS_MKL, reason=("`[DEFAULT]` override doesn't work if "
"numpy is built with MKL support"))
def test_overrides(self):
previousDir = os.getcwd()
cfg = os.path.join(self._dir1, 'site.cfg')
shutil.copy(self._sitecfg, cfg)
try:
os.chdir(self._dir1)
# Check that the '[ALL]' section does not override
# missing values from other sections
info = mkl_info()
lib_dirs = info.cp['ALL']['library_dirs'].split(os.pathsep)
assert info.get_lib_dirs() != lib_dirs
# But if we copy the values to a '[mkl]' section the value
# is correct
with open(cfg, 'r') as fid:
mkl = fid.read().replace('[ALL]', '[mkl]', 1)
with open(cfg, 'w') as fid:
fid.write(mkl)
info = mkl_info()
assert info.get_lib_dirs() == lib_dirs
# Also, the values will be taken from a section named '[DEFAULT]'
with open(cfg, 'r') as fid:
dflt = fid.read().replace('[mkl]', '[DEFAULT]', 1)
with open(cfg, 'w') as fid:
fid.write(dflt)
info = mkl_info()
assert info.get_lib_dirs() == lib_dirs
finally:
os.chdir(previousDir)
def test_distutils_parse_env_order(monkeypatch):
from numpy.distutils.system_info import _parse_env_order
env = 'NPY_TESTS_DISTUTILS_PARSE_ENV_ORDER'
base_order = list('abcdef')
monkeypatch.setenv(env, 'b,i,e,f')
order, unknown = _parse_env_order(base_order, env)
assert len(order) == 3
assert order == list('bef')
assert len(unknown) == 1
# For when LAPACK/BLAS optimization is disabled
monkeypatch.setenv(env, '')
order, unknown = _parse_env_order(base_order, env)
assert len(order) == 0
assert len(unknown) == 0
for prefix in '^!':
monkeypatch.setenv(env, f'{prefix}b,i,e')
order, unknown = _parse_env_order(base_order, env)
assert len(order) == 4
assert order == list('acdf')
assert len(unknown) == 1
with pytest.raises(ValueError):
monkeypatch.setenv(env, 'b,^e,i')
_parse_env_order(base_order, env)
with pytest.raises(ValueError):
monkeypatch.setenv(env, '!b,^e,i')
_parse_env_order(base_order, env)
| 11,009 | Python | 32.981481 | 102 | 0.578708 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_fcompiler_intel.py | import numpy.distutils.fcompiler
from numpy.testing import assert_
intel_32bit_version_strings = [
("Intel(R) Fortran Intel(R) 32-bit Compiler Professional for applications"
"running on Intel(R) 32, Version 11.1", '11.1'),
]
intel_64bit_version_strings = [
("Intel(R) Fortran IA-64 Compiler Professional for applications"
"running on IA-64, Version 11.0", '11.0'),
("Intel(R) Fortran Intel(R) 64 Compiler Professional for applications"
"running on Intel(R) 64, Version 11.1", '11.1')
]
class TestIntelFCompilerVersions:
def test_32bit_version(self):
fc = numpy.distutils.fcompiler.new_fcompiler(compiler='intel')
for vs, version in intel_32bit_version_strings:
v = fc.version_match(vs)
assert_(v == version)
class TestIntelEM64TFCompilerVersions:
def test_64bit_version(self):
fc = numpy.distutils.fcompiler.new_fcompiler(compiler='intelem')
for vs, version in intel_64bit_version_strings:
v = fc.version_match(vs)
assert_(v == version)
| 1,058 | Python | 33.161289 | 78 | 0.672023 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_fcompiler_nagfor.py | from numpy.testing import assert_
import numpy.distutils.fcompiler
nag_version_strings = [('nagfor', 'NAG Fortran Compiler Release '
'6.2(Chiyoda) Build 6200', '6.2'),
('nagfor', 'NAG Fortran Compiler Release '
'6.1(Tozai) Build 6136', '6.1'),
('nagfor', 'NAG Fortran Compiler Release '
'6.0(Hibiya) Build 1021', '6.0'),
('nagfor', 'NAG Fortran Compiler Release '
'5.3.2(971)', '5.3.2'),
('nag', 'NAGWare Fortran 95 compiler Release 5.1'
'(347,355-367,375,380-383,389,394,399,401-402,407,'
'431,435,437,446,459-460,463,472,494,496,503,508,'
'511,517,529,555,557,565)', '5.1')]
class TestNagFCompilerVersions:
def test_version_match(self):
for comp, vs, version in nag_version_strings:
fc = numpy.distutils.fcompiler.new_fcompiler(compiler=comp)
v = fc.version_match(vs)
assert_(v == version)
| 1,102 | Python | 46.95652 | 75 | 0.50726 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_mingw32ccompiler.py | import shutil
import subprocess
import sys
import pytest
from numpy.distutils import mingw32ccompiler
@pytest.mark.skipif(sys.platform != 'win32', reason='win32 only test')
def test_build_import():
'''Test the mingw32ccompiler.build_import_library, which builds a
`python.a` from the MSVC `python.lib`
'''
# make sure `nm.exe` exists and supports the current python version. This
# can get mixed up when the PATH has a 64-bit nm but the python is 32-bit
try:
out = subprocess.check_output(['nm.exe', '--help'])
except FileNotFoundError:
pytest.skip("'nm.exe' not on path, is mingw installed?")
supported = out[out.find(b'supported targets:'):]
if sys.maxsize < 2**32:
if b'pe-i386' not in supported:
raise ValueError("'nm.exe' found but it does not support 32-bit "
"dlls when using 32-bit python. Supported "
"formats: '%s'" % supported)
elif b'pe-x86-64' not in supported:
raise ValueError("'nm.exe' found but it does not support 64-bit "
"dlls when using 64-bit python. Supported "
"formats: '%s'" % supported)
# Hide the import library to force a build
has_import_lib, fullpath = mingw32ccompiler._check_for_import_lib()
if has_import_lib:
shutil.move(fullpath, fullpath + '.bak')
try:
# Whew, now we can actually test the function
mingw32ccompiler.build_import_library()
finally:
if has_import_lib:
shutil.move(fullpath + '.bak', fullpath)
| 1,609 | Python | 36.44186 | 77 | 0.61964 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_build_ext.py | '''Tests for numpy.distutils.build_ext.'''
import os
import subprocess
import sys
from textwrap import indent, dedent
import pytest
@pytest.mark.slow
def test_multi_fortran_libs_link(tmp_path):
'''
Ensures multiple "fake" static libraries are correctly linked.
see gh-18295
'''
# We need to make sure we actually have an f77 compiler.
# This is nontrivial, so we'll borrow the utilities
# from f2py tests:
from numpy.f2py.tests.util import has_f77_compiler
if not has_f77_compiler():
pytest.skip('No F77 compiler found')
# make some dummy sources
with open(tmp_path / '_dummy1.f', 'w') as fid:
fid.write(indent(dedent('''\
FUNCTION dummy_one()
RETURN
END FUNCTION'''), prefix=' '*6))
with open(tmp_path / '_dummy2.f', 'w') as fid:
fid.write(indent(dedent('''\
FUNCTION dummy_two()
RETURN
END FUNCTION'''), prefix=' '*6))
with open(tmp_path / '_dummy.c', 'w') as fid:
# doesn't need to load - just needs to exist
fid.write('int PyInit_dummyext;')
# make a setup file
with open(tmp_path / 'setup.py', 'w') as fid:
srctree = os.path.join(os.path.dirname(__file__), '..', '..', '..')
fid.write(dedent(f'''\
def configuration(parent_package="", top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration("", parent_package, top_path)
config.add_library("dummy1", sources=["_dummy1.f"])
config.add_library("dummy2", sources=["_dummy2.f"])
config.add_extension("dummyext", sources=["_dummy.c"], libraries=["dummy1", "dummy2"])
return config
if __name__ == "__main__":
import sys
sys.path.insert(0, r"{srctree}")
from numpy.distutils.core import setup
setup(**configuration(top_path="").todict())'''))
# build the test extensino and "install" into a temporary directory
build_dir = tmp_path
subprocess.check_call([sys.executable, 'setup.py', 'build', 'install',
'--prefix', str(tmp_path / 'installdir'),
'--record', str(tmp_path / 'tmp_install_log.txt'),
],
cwd=str(build_dir),
)
# get the path to the so
so = None
with open(tmp_path /'tmp_install_log.txt') as fid:
for line in fid:
if 'dummyext' in line:
so = line.strip()
break
assert so is not None
| 2,664 | Python | 35.506849 | 102 | 0.546547 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_ccompiler_opt_conf.py | import unittest
from os import sys, path
is_standalone = __name__ == '__main__' and __package__ is None
if is_standalone:
sys.path.append(path.abspath(path.join(path.dirname(__file__), "..")))
from ccompiler_opt import CCompilerOpt
else:
from numpy.distutils.ccompiler_opt import CCompilerOpt
arch_compilers = dict(
x86 = ("gcc", "clang", "icc", "iccw", "msvc"),
x64 = ("gcc", "clang", "icc", "iccw", "msvc"),
ppc64 = ("gcc", "clang"),
ppc64le = ("gcc", "clang"),
armhf = ("gcc", "clang"),
aarch64 = ("gcc", "clang"),
narch = ("gcc",)
)
class FakeCCompilerOpt(CCompilerOpt):
fake_info = ("arch", "compiler", "extra_args")
def __init__(self, *args, **kwargs):
CCompilerOpt.__init__(self, None, **kwargs)
def dist_compile(self, sources, flags, **kwargs):
return sources
def dist_info(self):
return FakeCCompilerOpt.fake_info
@staticmethod
def dist_log(*args, stderr=False):
pass
class _TestConfFeatures(FakeCCompilerOpt):
"""A hook to check the sanity of configured features
- before it called by the abstract class '_Feature'
"""
def conf_features_partial(self):
conf_all = self.conf_features
for feature_name, feature in conf_all.items():
self.test_feature(
"attribute conf_features",
conf_all, feature_name, feature
)
conf_partial = FakeCCompilerOpt.conf_features_partial(self)
for feature_name, feature in conf_partial.items():
self.test_feature(
"conf_features_partial()",
conf_partial, feature_name, feature
)
return conf_partial
def test_feature(self, log, search_in, feature_name, feature_dict):
error_msg = (
"during validate '{}' within feature '{}', "
"march '{}' and compiler '{}'\n>> "
).format(log, feature_name, self.cc_march, self.cc_name)
if not feature_name.isupper():
raise AssertionError(error_msg + "feature name must be in uppercase")
for option, val in feature_dict.items():
self.test_option_types(error_msg, option, val)
self.test_duplicates(error_msg, option, val)
self.test_implies(error_msg, search_in, feature_name, feature_dict)
self.test_group(error_msg, search_in, feature_name, feature_dict)
self.test_extra_checks(error_msg, search_in, feature_name, feature_dict)
def test_option_types(self, error_msg, option, val):
for tp, available in (
((str, list), (
"implies", "headers", "flags", "group", "detect", "extra_checks"
)),
((str,), ("disable",)),
((int,), ("interest",)),
((bool,), ("implies_detect",)),
((bool, type(None)), ("autovec",)),
) :
found_it = option in available
if not found_it:
continue
if not isinstance(val, tp):
error_tp = [t.__name__ for t in (*tp,)]
error_tp = ' or '.join(error_tp)
raise AssertionError(error_msg +
"expected '%s' type for option '%s' not '%s'" % (
error_tp, option, type(val).__name__
))
break
if not found_it:
raise AssertionError(error_msg + "invalid option name '%s'" % option)
def test_duplicates(self, error_msg, option, val):
if option not in (
"implies", "headers", "flags", "group", "detect", "extra_checks"
) : return
if isinstance(val, str):
val = val.split()
if len(val) != len(set(val)):
raise AssertionError(error_msg + "duplicated values in option '%s'" % option)
def test_implies(self, error_msg, search_in, feature_name, feature_dict):
if feature_dict.get("disabled") is not None:
return
implies = feature_dict.get("implies", "")
if not implies:
return
if isinstance(implies, str):
implies = implies.split()
if feature_name in implies:
raise AssertionError(error_msg + "feature implies itself")
for impl in implies:
impl_dict = search_in.get(impl)
if impl_dict is not None:
if "disable" in impl_dict:
raise AssertionError(error_msg + "implies disabled feature '%s'" % impl)
continue
raise AssertionError(error_msg + "implies non-exist feature '%s'" % impl)
def test_group(self, error_msg, search_in, feature_name, feature_dict):
if feature_dict.get("disabled") is not None:
return
group = feature_dict.get("group", "")
if not group:
return
if isinstance(group, str):
group = group.split()
for f in group:
impl_dict = search_in.get(f)
if not impl_dict or "disable" in impl_dict:
continue
raise AssertionError(error_msg +
"in option 'group', '%s' already exists as a feature name" % f
)
def test_extra_checks(self, error_msg, search_in, feature_name, feature_dict):
if feature_dict.get("disabled") is not None:
return
extra_checks = feature_dict.get("extra_checks", "")
if not extra_checks:
return
if isinstance(extra_checks, str):
extra_checks = extra_checks.split()
for f in extra_checks:
impl_dict = search_in.get(f)
if not impl_dict or "disable" in impl_dict:
continue
raise AssertionError(error_msg +
"in option 'extra_checks', extra test case '%s' already exists as a feature name" % f
)
class TestConfFeatures(unittest.TestCase):
def __init__(self, methodName="runTest"):
unittest.TestCase.__init__(self, methodName)
self._setup()
def _setup(self):
FakeCCompilerOpt.conf_nocache = True
def test_features(self):
for arch, compilers in arch_compilers.items():
for cc in compilers:
FakeCCompilerOpt.fake_info = (arch, cc, "")
_TestConfFeatures()
if is_standalone:
unittest.main()
| 6,347 | Python | 34.864407 | 101 | 0.557271 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_fcompiler_gnu.py | from numpy.testing import assert_
import numpy.distutils.fcompiler
g77_version_strings = [
('GNU Fortran 0.5.25 20010319 (prerelease)', '0.5.25'),
('GNU Fortran (GCC 3.2) 3.2 20020814 (release)', '3.2'),
('GNU Fortran (GCC) 3.3.3 20040110 (prerelease) (Debian)', '3.3.3'),
('GNU Fortran (GCC) 3.3.3 (Debian 20040401)', '3.3.3'),
('GNU Fortran (GCC 3.2.2 20030222 (Red Hat Linux 3.2.2-5)) 3.2.2'
' 20030222 (Red Hat Linux 3.2.2-5)', '3.2.2'),
]
gfortran_version_strings = [
('GNU Fortran 95 (GCC 4.0.3 20051023 (prerelease) (Debian 4.0.2-3))',
'4.0.3'),
('GNU Fortran 95 (GCC) 4.1.0', '4.1.0'),
('GNU Fortran 95 (GCC) 4.2.0 20060218 (experimental)', '4.2.0'),
('GNU Fortran (GCC) 4.3.0 20070316 (experimental)', '4.3.0'),
('GNU Fortran (rubenvb-4.8.0) 4.8.0', '4.8.0'),
('4.8.0', '4.8.0'),
('4.0.3-7', '4.0.3'),
("gfortran: warning: couldn't understand kern.osversion '14.1.0\n4.9.1",
'4.9.1'),
("gfortran: warning: couldn't understand kern.osversion '14.1.0\n"
"gfortran: warning: yet another warning\n4.9.1",
'4.9.1'),
('GNU Fortran (crosstool-NG 8a21ab48) 7.2.0', '7.2.0')
]
class TestG77Versions:
def test_g77_version(self):
fc = numpy.distutils.fcompiler.new_fcompiler(compiler='gnu')
for vs, version in g77_version_strings:
v = fc.version_match(vs)
assert_(v == version, (vs, v))
def test_not_g77(self):
fc = numpy.distutils.fcompiler.new_fcompiler(compiler='gnu')
for vs, _ in gfortran_version_strings:
v = fc.version_match(vs)
assert_(v is None, (vs, v))
class TestGFortranVersions:
def test_gfortran_version(self):
fc = numpy.distutils.fcompiler.new_fcompiler(compiler='gnu95')
for vs, version in gfortran_version_strings:
v = fc.version_match(vs)
assert_(v == version, (vs, v))
def test_not_gfortran(self):
fc = numpy.distutils.fcompiler.new_fcompiler(compiler='gnu95')
for vs, _ in g77_version_strings:
v = fc.version_match(vs)
assert_(v is None, (vs, v))
| 2,136 | Python | 37.160714 | 76 | 0.589888 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_shell_utils.py | import pytest
import subprocess
import json
import sys
from numpy.distutils import _shell_utils
argv_cases = [
[r'exe'],
[r'path/exe'],
[r'path\exe'],
[r'\\server\path\exe'],
[r'path to/exe'],
[r'path to\exe'],
[r'exe', '--flag'],
[r'path/exe', '--flag'],
[r'path\exe', '--flag'],
[r'path to/exe', '--flag'],
[r'path to\exe', '--flag'],
# flags containing literal quotes in their name
[r'path to/exe', '--flag-"quoted"'],
[r'path to\exe', '--flag-"quoted"'],
[r'path to/exe', '"--flag-quoted"'],
[r'path to\exe', '"--flag-quoted"'],
]
@pytest.fixture(params=[
_shell_utils.WindowsParser,
_shell_utils.PosixParser
])
def Parser(request):
return request.param
@pytest.fixture
def runner(Parser):
if Parser != _shell_utils.NativeParser:
pytest.skip('Unable to run with non-native parser')
if Parser == _shell_utils.WindowsParser:
return lambda cmd: subprocess.check_output(cmd)
elif Parser == _shell_utils.PosixParser:
# posix has no non-shell string parsing
return lambda cmd: subprocess.check_output(cmd, shell=True)
else:
raise NotImplementedError
@pytest.mark.parametrize('argv', argv_cases)
def test_join_matches_subprocess(Parser, runner, argv):
"""
Test that join produces strings understood by subprocess
"""
# invoke python to return its arguments as json
cmd = [
sys.executable, '-c',
'import json, sys; print(json.dumps(sys.argv[1:]))'
]
joined = Parser.join(cmd + argv)
json_out = runner(joined).decode()
assert json.loads(json_out) == argv
@pytest.mark.parametrize('argv', argv_cases)
def test_roundtrip(Parser, argv):
"""
Test that split is the inverse operation of join
"""
try:
joined = Parser.join(argv)
assert argv == Parser.split(joined)
except NotImplementedError:
pytest.skip("Not implemented")
| 1,954 | Python | 24.38961 | 67 | 0.622313 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_misc_util.py | from os.path import join, sep, dirname
from numpy.distutils.misc_util import (
appendpath, minrelpath, gpaths, get_shared_lib_extension, get_info
)
from numpy.testing import (
assert_, assert_equal
)
ajoin = lambda *paths: join(*((sep,)+paths))
class TestAppendpath:
def test_1(self):
assert_equal(appendpath('prefix', 'name'), join('prefix', 'name'))
assert_equal(appendpath('/prefix', 'name'), ajoin('prefix', 'name'))
assert_equal(appendpath('/prefix', '/name'), ajoin('prefix', 'name'))
assert_equal(appendpath('prefix', '/name'), join('prefix', 'name'))
def test_2(self):
assert_equal(appendpath('prefix/sub', 'name'),
join('prefix', 'sub', 'name'))
assert_equal(appendpath('prefix/sub', 'sup/name'),
join('prefix', 'sub', 'sup', 'name'))
assert_equal(appendpath('/prefix/sub', '/prefix/name'),
ajoin('prefix', 'sub', 'name'))
def test_3(self):
assert_equal(appendpath('/prefix/sub', '/prefix/sup/name'),
ajoin('prefix', 'sub', 'sup', 'name'))
assert_equal(appendpath('/prefix/sub/sub2', '/prefix/sup/sup2/name'),
ajoin('prefix', 'sub', 'sub2', 'sup', 'sup2', 'name'))
assert_equal(appendpath('/prefix/sub/sub2', '/prefix/sub/sup/name'),
ajoin('prefix', 'sub', 'sub2', 'sup', 'name'))
class TestMinrelpath:
def test_1(self):
n = lambda path: path.replace('/', sep)
assert_equal(minrelpath(n('aa/bb')), n('aa/bb'))
assert_equal(minrelpath('..'), '..')
assert_equal(minrelpath(n('aa/..')), '')
assert_equal(minrelpath(n('aa/../bb')), 'bb')
assert_equal(minrelpath(n('aa/bb/..')), 'aa')
assert_equal(minrelpath(n('aa/bb/../..')), '')
assert_equal(minrelpath(n('aa/bb/../cc/../dd')), n('aa/dd'))
assert_equal(minrelpath(n('.././..')), n('../..'))
assert_equal(minrelpath(n('aa/bb/.././../dd')), n('dd'))
class TestGpaths:
def test_gpaths(self):
local_path = minrelpath(join(dirname(__file__), '..'))
ls = gpaths('command/*.py', local_path)
assert_(join(local_path, 'command', 'build_src.py') in ls, repr(ls))
f = gpaths('system_info.py', local_path)
assert_(join(local_path, 'system_info.py') == f[0], repr(f))
class TestSharedExtension:
def test_get_shared_lib_extension(self):
import sys
ext = get_shared_lib_extension(is_python_ext=False)
if sys.platform.startswith('linux'):
assert_equal(ext, '.so')
elif sys.platform.startswith('gnukfreebsd'):
assert_equal(ext, '.so')
elif sys.platform.startswith('darwin'):
assert_equal(ext, '.dylib')
elif sys.platform.startswith('win'):
assert_equal(ext, '.dll')
# just check for no crash
assert_(get_shared_lib_extension(is_python_ext=True))
def test_installed_npymath_ini():
# Regression test for gh-7707. If npymath.ini wasn't installed, then this
# will give an error.
info = get_info('npymath')
assert isinstance(info, dict)
assert "define_macros" in info
| 3,218 | Python | 37.783132 | 78 | 0.569608 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_fcompiler.py | from numpy.testing import assert_
import numpy.distutils.fcompiler
customizable_flags = [
('f77', 'F77FLAGS'),
('f90', 'F90FLAGS'),
('free', 'FREEFLAGS'),
('arch', 'FARCH'),
('debug', 'FDEBUG'),
('flags', 'FFLAGS'),
('linker_so', 'LDFLAGS'),
]
def test_fcompiler_flags(monkeypatch):
monkeypatch.setenv('NPY_DISTUTILS_APPEND_FLAGS', '0')
fc = numpy.distutils.fcompiler.new_fcompiler(compiler='none')
flag_vars = fc.flag_vars.clone(lambda *args, **kwargs: None)
for opt, envvar in customizable_flags:
new_flag = '-dummy-{}-flag'.format(opt)
prev_flags = getattr(flag_vars, opt)
monkeypatch.setenv(envvar, new_flag)
new_flags = getattr(flag_vars, opt)
monkeypatch.delenv(envvar)
assert_(new_flags == [new_flag])
monkeypatch.setenv('NPY_DISTUTILS_APPEND_FLAGS', '1')
for opt, envvar in customizable_flags:
new_flag = '-dummy-{}-flag'.format(opt)
prev_flags = getattr(flag_vars, opt)
monkeypatch.setenv(envvar, new_flag)
new_flags = getattr(flag_vars, opt)
monkeypatch.delenv(envvar)
if prev_flags is None:
assert_(new_flags == [new_flag])
else:
assert_(new_flags == prev_flags + [new_flag])
| 1,277 | Python | 28.045454 | 65 | 0.60924 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_npy_pkg_config.py | import os
from numpy.distutils.npy_pkg_config import read_config, parse_flags
from numpy.testing import temppath, assert_
simple = """\
[meta]
Name = foo
Description = foo lib
Version = 0.1
[default]
cflags = -I/usr/include
libs = -L/usr/lib
"""
simple_d = {'cflags': '-I/usr/include', 'libflags': '-L/usr/lib',
'version': '0.1', 'name': 'foo'}
simple_variable = """\
[meta]
Name = foo
Description = foo lib
Version = 0.1
[variables]
prefix = /foo/bar
libdir = ${prefix}/lib
includedir = ${prefix}/include
[default]
cflags = -I${includedir}
libs = -L${libdir}
"""
simple_variable_d = {'cflags': '-I/foo/bar/include', 'libflags': '-L/foo/bar/lib',
'version': '0.1', 'name': 'foo'}
class TestLibraryInfo:
def test_simple(self):
with temppath('foo.ini') as path:
with open(path, 'w') as f:
f.write(simple)
pkg = os.path.splitext(path)[0]
out = read_config(pkg)
assert_(out.cflags() == simple_d['cflags'])
assert_(out.libs() == simple_d['libflags'])
assert_(out.name == simple_d['name'])
assert_(out.version == simple_d['version'])
def test_simple_variable(self):
with temppath('foo.ini') as path:
with open(path, 'w') as f:
f.write(simple_variable)
pkg = os.path.splitext(path)[0]
out = read_config(pkg)
assert_(out.cflags() == simple_variable_d['cflags'])
assert_(out.libs() == simple_variable_d['libflags'])
assert_(out.name == simple_variable_d['name'])
assert_(out.version == simple_variable_d['version'])
out.vars['prefix'] = '/Users/david'
assert_(out.cflags() == '-I/Users/david/include')
class TestParseFlags:
def test_simple_cflags(self):
d = parse_flags("-I/usr/include")
assert_(d['include_dirs'] == ['/usr/include'])
d = parse_flags("-I/usr/include -DFOO")
assert_(d['include_dirs'] == ['/usr/include'])
assert_(d['macros'] == ['FOO'])
d = parse_flags("-I /usr/include -DFOO")
assert_(d['include_dirs'] == ['/usr/include'])
assert_(d['macros'] == ['FOO'])
def test_simple_lflags(self):
d = parse_flags("-L/usr/lib -lfoo -L/usr/lib -lbar")
assert_(d['library_dirs'] == ['/usr/lib', '/usr/lib'])
assert_(d['libraries'] == ['foo', 'bar'])
d = parse_flags("-L /usr/lib -lfoo -L/usr/lib -lbar")
assert_(d['library_dirs'] == ['/usr/lib', '/usr/lib'])
assert_(d['libraries'] == ['foo', 'bar'])
| 2,557 | Python | 29.094117 | 82 | 0.559249 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/doc/constants.py | """
=========
Constants
=========
.. currentmodule:: numpy
NumPy includes several constants:
%(constant_list)s
"""
#
# Note: the docstring is autogenerated.
#
import re
import textwrap
# Maintain same format as in numpy.add_newdocs
constants = []
def add_newdoc(module, name, doc):
constants.append((name, doc))
add_newdoc('numpy', 'pi',
"""
``pi = 3.1415926535897932384626433...``
References
----------
https://en.wikipedia.org/wiki/Pi
""")
add_newdoc('numpy', 'e',
"""
Euler's constant, base of natural logarithms, Napier's constant.
``e = 2.71828182845904523536028747135266249775724709369995...``
See Also
--------
exp : Exponential function
log : Natural logarithm
References
----------
https://en.wikipedia.org/wiki/E_%28mathematical_constant%29
""")
add_newdoc('numpy', 'euler_gamma',
"""
``γ = 0.5772156649015328606065120900824024310421...``
References
----------
https://en.wikipedia.org/wiki/Euler-Mascheroni_constant
""")
add_newdoc('numpy', 'inf',
"""
IEEE 754 floating point representation of (positive) infinity.
Returns
-------
y : float
A floating point representation of positive infinity.
See Also
--------
isinf : Shows which elements are positive or negative infinity
isposinf : Shows which elements are positive infinity
isneginf : Shows which elements are negative infinity
isnan : Shows which elements are Not a Number
isfinite : Shows which elements are finite (not one of Not a Number,
positive infinity and negative infinity)
Notes
-----
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
(IEEE 754). This means that Not a Number is not equivalent to infinity.
Also that positive infinity is not equivalent to negative infinity. But
infinity is equivalent to positive infinity.
`Inf`, `Infinity`, `PINF` and `infty` are aliases for `inf`.
Examples
--------
>>> np.inf
inf
>>> np.array([1]) / 0.
array([ Inf])
""")
add_newdoc('numpy', 'nan',
"""
IEEE 754 floating point representation of Not a Number (NaN).
Returns
-------
y : A floating point representation of Not a Number.
See Also
--------
isnan : Shows which elements are Not a Number.
isfinite : Shows which elements are finite (not one of
Not a Number, positive infinity and negative infinity)
Notes
-----
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
(IEEE 754). This means that Not a Number is not equivalent to infinity.
`NaN` and `NAN` are aliases of `nan`.
Examples
--------
>>> np.nan
nan
>>> np.log(-1)
nan
>>> np.log([-1, 1, 2])
array([ NaN, 0. , 0.69314718])
""")
add_newdoc('numpy', 'newaxis',
"""
A convenient alias for None, useful for indexing arrays.
Examples
--------
>>> newaxis is None
True
>>> x = np.arange(3)
>>> x
array([0, 1, 2])
>>> x[:, newaxis]
array([[0],
[1],
[2]])
>>> x[:, newaxis, newaxis]
array([[[0]],
[[1]],
[[2]]])
>>> x[:, newaxis] * x
array([[0, 0, 0],
[0, 1, 2],
[0, 2, 4]])
Outer product, same as ``outer(x, y)``:
>>> y = np.arange(3, 6)
>>> x[:, newaxis] * y
array([[ 0, 0, 0],
[ 3, 4, 5],
[ 6, 8, 10]])
``x[newaxis, :]`` is equivalent to ``x[newaxis]`` and ``x[None]``:
>>> x[newaxis, :].shape
(1, 3)
>>> x[newaxis].shape
(1, 3)
>>> x[None].shape
(1, 3)
>>> x[:, newaxis].shape
(3, 1)
""")
add_newdoc('numpy', 'NZERO',
"""
IEEE 754 floating point representation of negative zero.
Returns
-------
y : float
A floating point representation of negative zero.
See Also
--------
PZERO : Defines positive zero.
isinf : Shows which elements are positive or negative infinity.
isposinf : Shows which elements are positive infinity.
isneginf : Shows which elements are negative infinity.
isnan : Shows which elements are Not a Number.
isfinite : Shows which elements are finite - not one of
Not a Number, positive infinity and negative infinity.
Notes
-----
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
(IEEE 754). Negative zero is considered to be a finite number.
Examples
--------
>>> np.NZERO
-0.0
>>> np.PZERO
0.0
>>> np.isfinite([np.NZERO])
array([ True])
>>> np.isnan([np.NZERO])
array([False])
>>> np.isinf([np.NZERO])
array([False])
""")
add_newdoc('numpy', 'PZERO',
"""
IEEE 754 floating point representation of positive zero.
Returns
-------
y : float
A floating point representation of positive zero.
See Also
--------
NZERO : Defines negative zero.
isinf : Shows which elements are positive or negative infinity.
isposinf : Shows which elements are positive infinity.
isneginf : Shows which elements are negative infinity.
isnan : Shows which elements are Not a Number.
isfinite : Shows which elements are finite - not one of
Not a Number, positive infinity and negative infinity.
Notes
-----
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
(IEEE 754). Positive zero is considered to be a finite number.
Examples
--------
>>> np.PZERO
0.0
>>> np.NZERO
-0.0
>>> np.isfinite([np.PZERO])
array([ True])
>>> np.isnan([np.PZERO])
array([False])
>>> np.isinf([np.PZERO])
array([False])
""")
add_newdoc('numpy', 'NAN',
"""
IEEE 754 floating point representation of Not a Number (NaN).
`NaN` and `NAN` are equivalent definitions of `nan`. Please use
`nan` instead of `NAN`.
See Also
--------
nan
""")
add_newdoc('numpy', 'NaN',
"""
IEEE 754 floating point representation of Not a Number (NaN).
`NaN` and `NAN` are equivalent definitions of `nan`. Please use
`nan` instead of `NaN`.
See Also
--------
nan
""")
add_newdoc('numpy', 'NINF',
"""
IEEE 754 floating point representation of negative infinity.
Returns
-------
y : float
A floating point representation of negative infinity.
See Also
--------
isinf : Shows which elements are positive or negative infinity
isposinf : Shows which elements are positive infinity
isneginf : Shows which elements are negative infinity
isnan : Shows which elements are Not a Number
isfinite : Shows which elements are finite (not one of Not a Number,
positive infinity and negative infinity)
Notes
-----
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
(IEEE 754). This means that Not a Number is not equivalent to infinity.
Also that positive infinity is not equivalent to negative infinity. But
infinity is equivalent to positive infinity.
Examples
--------
>>> np.NINF
-inf
>>> np.log(0)
-inf
""")
add_newdoc('numpy', 'PINF',
"""
IEEE 754 floating point representation of (positive) infinity.
Use `inf` because `Inf`, `Infinity`, `PINF` and `infty` are aliases for
`inf`. For more details, see `inf`.
See Also
--------
inf
""")
add_newdoc('numpy', 'infty',
"""
IEEE 754 floating point representation of (positive) infinity.
Use `inf` because `Inf`, `Infinity`, `PINF` and `infty` are aliases for
`inf`. For more details, see `inf`.
See Also
--------
inf
""")
add_newdoc('numpy', 'Inf',
"""
IEEE 754 floating point representation of (positive) infinity.
Use `inf` because `Inf`, `Infinity`, `PINF` and `infty` are aliases for
`inf`. For more details, see `inf`.
See Also
--------
inf
""")
add_newdoc('numpy', 'Infinity',
"""
IEEE 754 floating point representation of (positive) infinity.
Use `inf` because `Inf`, `Infinity`, `PINF` and `infty` are aliases for
`inf`. For more details, see `inf`.
See Also
--------
inf
""")
if __doc__:
constants_str = []
constants.sort()
for name, doc in constants:
s = textwrap.dedent(doc).replace("\n", "\n ")
# Replace sections by rubrics
lines = s.split("\n")
new_lines = []
for line in lines:
m = re.match(r'^(\s+)[-=]+\s*$', line)
if m and new_lines:
prev = textwrap.dedent(new_lines.pop())
new_lines.append('%s.. rubric:: %s' % (m.group(1), prev))
new_lines.append('')
else:
new_lines.append(line)
s = "\n".join(new_lines)
# Done.
constants_str.append(""".. data:: %s\n %s""" % (name, s))
constants_str = "\n".join(constants_str)
__doc__ = __doc__ % dict(constant_list=constants_str)
del constants_str, name, doc
del line, lines, new_lines, m, s, prev
del constants, add_newdoc
| 9,154 | Python | 21.16707 | 75 | 0.582915 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/doc/__init__.py | import os
ref_dir = os.path.join(os.path.dirname(__file__))
__all__ = sorted(f[:-3] for f in os.listdir(ref_dir) if f.endswith('.py') and
not f.startswith('__'))
for f in __all__:
__import__(__name__ + '.' + f)
del f, ref_dir
__doc__ = """\
Topical documentation
=====================
The following topics are available:
%s
You can view them by
>>> help(np.doc.TOPIC) #doctest: +SKIP
""" % '\n- '.join([''] + __all__)
__all__.extend(['__doc__'])
| 508 | Python | 17.851851 | 77 | 0.488189 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/doc/ufuncs.py | """
===================
Universal Functions
===================
Ufuncs are, generally speaking, mathematical functions or operations that are
applied element-by-element to the contents of an array. That is, the result
in each output array element only depends on the value in the corresponding
input array (or arrays) and on no other array elements. NumPy comes with a
large suite of ufuncs, and scipy extends that suite substantially. The simplest
example is the addition operator: ::
>>> np.array([0,2,3,4]) + np.array([1,1,-1,2])
array([1, 3, 2, 6])
The ufunc module lists all the available ufuncs in numpy. Documentation on
the specific ufuncs may be found in those modules. This documentation is
intended to address the more general aspects of ufuncs common to most of
them. All of the ufuncs that make use of Python operators (e.g., +, -, etc.)
have equivalent functions defined (e.g. add() for +)
Type coercion
=============
What happens when a binary operator (e.g., +,-,\\*,/, etc) deals with arrays of
two different types? What is the type of the result? Typically, the result is
the higher of the two types. For example: ::
float32 + float64 -> float64
int8 + int32 -> int32
int16 + float32 -> float32
float32 + complex64 -> complex64
There are some less obvious cases generally involving mixes of types
(e.g. uints, ints and floats) where equal bit sizes for each are not
capable of saving all the information in a different type of equivalent
bit size. Some examples are int32 vs float32 or uint32 vs int32.
Generally, the result is the higher type of larger size than both
(if available). So: ::
int32 + float32 -> float64
uint32 + int32 -> int64
Finally, the type coercion behavior when expressions involve Python
scalars is different than that seen for arrays. Since Python has a
limited number of types, combining a Python int with a dtype=np.int8
array does not coerce to the higher type but instead, the type of the
array prevails. So the rules for Python scalars combined with arrays is
that the result will be that of the array equivalent the Python scalar
if the Python scalar is of a higher 'kind' than the array (e.g., float
vs. int), otherwise the resultant type will be that of the array.
For example: ::
Python int + int8 -> int8
Python float + int8 -> float64
ufunc methods
=============
Binary ufuncs support 4 methods.
**.reduce(arr)** applies the binary operator to elements of the array in
sequence. For example: ::
>>> np.add.reduce(np.arange(10)) # adds all elements of array
45
For multidimensional arrays, the first dimension is reduced by default: ::
>>> np.add.reduce(np.arange(10).reshape(2,5))
array([ 5, 7, 9, 11, 13])
The axis keyword can be used to specify different axes to reduce: ::
>>> np.add.reduce(np.arange(10).reshape(2,5),axis=1)
array([10, 35])
**.accumulate(arr)** applies the binary operator and generates an
equivalently shaped array that includes the accumulated amount for each
element of the array. A couple examples: ::
>>> np.add.accumulate(np.arange(10))
array([ 0, 1, 3, 6, 10, 15, 21, 28, 36, 45])
>>> np.multiply.accumulate(np.arange(1,9))
array([ 1, 2, 6, 24, 120, 720, 5040, 40320])
The behavior for multidimensional arrays is the same as for .reduce(),
as is the use of the axis keyword).
**.reduceat(arr,indices)** allows one to apply reduce to selected parts
of an array. It is a difficult method to understand. See the documentation
at:
**.outer(arr1,arr2)** generates an outer operation on the two arrays arr1 and
arr2. It will work on multidimensional arrays (the shape of the result is
the concatenation of the two input shapes.: ::
>>> np.multiply.outer(np.arange(3),np.arange(4))
array([[0, 0, 0, 0],
[0, 1, 2, 3],
[0, 2, 4, 6]])
Output arguments
================
All ufuncs accept an optional output array. The array must be of the expected
output shape. Beware that if the type of the output array is of a different
(and lower) type than the output result, the results may be silently truncated
or otherwise corrupted in the downcast to the lower type. This usage is useful
when one wants to avoid creating large temporary arrays and instead allows one
to reuse the same array memory repeatedly (at the expense of not being able to
use more convenient operator notation in expressions). Note that when the
output argument is used, the ufunc still returns a reference to the result.
>>> x = np.arange(2)
>>> np.add(np.arange(2),np.arange(2.),x)
array([0, 2])
>>> x
array([0, 2])
and & or as ufuncs
==================
Invariably people try to use the python 'and' and 'or' as logical operators
(and quite understandably). But these operators do not behave as normal
operators since Python treats these quite differently. They cannot be
overloaded with array equivalents. Thus using 'and' or 'or' with an array
results in an error. There are two alternatives:
1) use the ufunc functions logical_and() and logical_or().
2) use the bitwise operators & and \\|. The drawback of these is that if
the arguments to these operators are not boolean arrays, the result is
likely incorrect. On the other hand, most usages of logical_and and
logical_or are with boolean arrays. As long as one is careful, this is
a convenient way to apply these operators.
"""
| 5,357 | Python | 37.826087 | 79 | 0.720179 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/shape_base.pyi | from collections.abc import Sequence
from typing import TypeVar, overload, Any, SupportsIndex
from numpy import generic
from numpy._typing import ArrayLike, NDArray, _ArrayLike
_SCT = TypeVar("_SCT", bound=generic)
_ArrayType = TypeVar("_ArrayType", bound=NDArray[Any])
__all__: list[str]
@overload
def atleast_1d(arys: _ArrayLike[_SCT], /) -> NDArray[_SCT]: ...
@overload
def atleast_1d(arys: ArrayLike, /) -> NDArray[Any]: ...
@overload
def atleast_1d(*arys: ArrayLike) -> list[NDArray[Any]]: ...
@overload
def atleast_2d(arys: _ArrayLike[_SCT], /) -> NDArray[_SCT]: ...
@overload
def atleast_2d(arys: ArrayLike, /) -> NDArray[Any]: ...
@overload
def atleast_2d(*arys: ArrayLike) -> list[NDArray[Any]]: ...
@overload
def atleast_3d(arys: _ArrayLike[_SCT], /) -> NDArray[_SCT]: ...
@overload
def atleast_3d(arys: ArrayLike, /) -> NDArray[Any]: ...
@overload
def atleast_3d(*arys: ArrayLike) -> list[NDArray[Any]]: ...
@overload
def vstack(tup: Sequence[_ArrayLike[_SCT]]) -> NDArray[_SCT]: ...
@overload
def vstack(tup: Sequence[ArrayLike]) -> NDArray[Any]: ...
@overload
def hstack(tup: Sequence[_ArrayLike[_SCT]]) -> NDArray[_SCT]: ...
@overload
def hstack(tup: Sequence[ArrayLike]) -> NDArray[Any]: ...
@overload
def stack(
arrays: Sequence[_ArrayLike[_SCT]],
axis: SupportsIndex = ...,
out: None = ...,
) -> NDArray[_SCT]: ...
@overload
def stack(
arrays: Sequence[ArrayLike],
axis: SupportsIndex = ...,
out: None = ...,
) -> NDArray[Any]: ...
@overload
def stack(
arrays: Sequence[ArrayLike],
axis: SupportsIndex = ...,
out: _ArrayType = ...,
) -> _ArrayType: ...
@overload
def block(arrays: _ArrayLike[_SCT]) -> NDArray[_SCT]: ...
@overload
def block(arrays: ArrayLike) -> NDArray[Any]: ...
| 1,744 | unknown | 25.439394 | 65 | 0.650803 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/multiarray.py | """
Create the numpy.core.multiarray namespace for backward compatibility. In v1.16
the multiarray and umath c-extension modules were merged into a single
_multiarray_umath extension module. So we replicate the old namespace
by importing from the extension module.
"""
import functools
from . import overrides
from . import _multiarray_umath
from ._multiarray_umath import * # noqa: F403
# These imports are needed for backward compatibility,
# do not change them. issue gh-15518
# _get_ndarray_c_version is semi-public, on purpose not added to __all__
from ._multiarray_umath import (
_fastCopyAndTranspose, _flagdict, from_dlpack, _insert, _reconstruct,
_vec_string, _ARRAY_API, _monotonicity, _get_ndarray_c_version,
_get_madvise_hugepage, _set_madvise_hugepage,
)
__all__ = [
'_ARRAY_API', 'ALLOW_THREADS', 'BUFSIZE', 'CLIP', 'DATETIMEUNITS',
'ITEM_HASOBJECT', 'ITEM_IS_POINTER', 'LIST_PICKLE', 'MAXDIMS',
'MAY_SHARE_BOUNDS', 'MAY_SHARE_EXACT', 'NEEDS_INIT', 'NEEDS_PYAPI',
'RAISE', 'USE_GETITEM', 'USE_SETITEM', 'WRAP', '_fastCopyAndTranspose',
'_flagdict', 'from_dlpack', '_insert', '_reconstruct', '_vec_string',
'_monotonicity', 'add_docstring', 'arange', 'array', 'asarray',
'asanyarray', 'ascontiguousarray', 'asfortranarray', 'bincount',
'broadcast', 'busday_count', 'busday_offset', 'busdaycalendar', 'can_cast',
'compare_chararrays', 'concatenate', 'copyto', 'correlate', 'correlate2',
'count_nonzero', 'c_einsum', 'datetime_as_string', 'datetime_data',
'dot', 'dragon4_positional', 'dragon4_scientific', 'dtype',
'empty', 'empty_like', 'error', 'flagsobj', 'flatiter', 'format_longfloat',
'frombuffer', 'fromfile', 'fromiter', 'fromstring',
'get_handler_name', 'get_handler_version', 'inner', 'interp',
'interp_complex', 'is_busday', 'lexsort', 'matmul', 'may_share_memory',
'min_scalar_type', 'ndarray', 'nditer', 'nested_iters',
'normalize_axis_index', 'packbits', 'promote_types', 'putmask',
'ravel_multi_index', 'result_type', 'scalar', 'set_datetimeparse_function',
'set_legacy_print_mode', 'set_numeric_ops', 'set_string_function',
'set_typeDict', 'shares_memory', 'tracemalloc_domain', 'typeinfo',
'unpackbits', 'unravel_index', 'vdot', 'where', 'zeros']
# For backward compatibility, make sure pickle imports these functions from here
_reconstruct.__module__ = 'numpy.core.multiarray'
scalar.__module__ = 'numpy.core.multiarray'
from_dlpack.__module__ = 'numpy'
arange.__module__ = 'numpy'
array.__module__ = 'numpy'
asarray.__module__ = 'numpy'
asanyarray.__module__ = 'numpy'
ascontiguousarray.__module__ = 'numpy'
asfortranarray.__module__ = 'numpy'
datetime_data.__module__ = 'numpy'
empty.__module__ = 'numpy'
frombuffer.__module__ = 'numpy'
fromfile.__module__ = 'numpy'
fromiter.__module__ = 'numpy'
frompyfunc.__module__ = 'numpy'
fromstring.__module__ = 'numpy'
geterrobj.__module__ = 'numpy'
may_share_memory.__module__ = 'numpy'
nested_iters.__module__ = 'numpy'
promote_types.__module__ = 'numpy'
set_numeric_ops.__module__ = 'numpy'
seterrobj.__module__ = 'numpy'
zeros.__module__ = 'numpy'
# We can't verify dispatcher signatures because NumPy's C functions don't
# support introspection.
array_function_from_c_func_and_dispatcher = functools.partial(
overrides.array_function_from_dispatcher,
module='numpy', docs_from_dispatcher=True, verify=False)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.empty_like)
def empty_like(prototype, dtype=None, order=None, subok=None, shape=None):
"""
empty_like(prototype, dtype=None, order='K', subok=True, shape=None)
Return a new array with the same shape and type as a given array.
Parameters
----------
prototype : array_like
The shape and data-type of `prototype` define these same attributes
of the returned array.
dtype : data-type, optional
Overrides the data type of the result.
.. versionadded:: 1.6.0
order : {'C', 'F', 'A', or 'K'}, optional
Overrides the memory layout of the result. 'C' means C-order,
'F' means F-order, 'A' means 'F' if `prototype` is Fortran
contiguous, 'C' otherwise. 'K' means match the layout of `prototype`
as closely as possible.
.. versionadded:: 1.6.0
subok : bool, optional.
If True, then the newly created array will use the sub-class
type of `prototype`, otherwise it will be a base-class array. Defaults
to True.
shape : int or sequence of ints, optional.
Overrides the shape of the result. If order='K' and the number of
dimensions is unchanged, will try to keep order, otherwise,
order='C' is implied.
.. versionadded:: 1.17.0
Returns
-------
out : ndarray
Array of uninitialized (arbitrary) data with the same
shape and type as `prototype`.
See Also
--------
ones_like : Return an array of ones with shape and type of input.
zeros_like : Return an array of zeros with shape and type of input.
full_like : Return a new array with shape of input filled with value.
empty : Return a new uninitialized array.
Notes
-----
This function does *not* initialize the returned array; to do that use
`zeros_like` or `ones_like` instead. It may be marginally faster than
the functions that do set the array values.
Examples
--------
>>> a = ([1,2,3], [4,5,6]) # a is array-like
>>> np.empty_like(a)
array([[-1073741821, -1073741821, 3], # uninitialized
[ 0, 0, -1073741821]])
>>> a = np.array([[1., 2., 3.],[4.,5.,6.]])
>>> np.empty_like(a)
array([[ -2.00000715e+000, 1.48219694e-323, -2.00000572e+000], # uninitialized
[ 4.38791518e-305, -2.00000715e+000, 4.17269252e-309]])
"""
return (prototype,)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.concatenate)
def concatenate(arrays, axis=None, out=None, *, dtype=None, casting=None):
"""
concatenate((a1, a2, ...), axis=0, out=None, dtype=None, casting="same_kind")
Join a sequence of arrays along an existing axis.
Parameters
----------
a1, a2, ... : sequence of array_like
The arrays must have the same shape, except in the dimension
corresponding to `axis` (the first, by default).
axis : int, optional
The axis along which the arrays will be joined. If axis is None,
arrays are flattened before use. Default is 0.
out : ndarray, optional
If provided, the destination to place the result. The shape must be
correct, matching that of what concatenate would have returned if no
out argument were specified.
dtype : str or dtype
If provided, the destination array will have this dtype. Cannot be
provided together with `out`.
.. versionadded:: 1.20.0
casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional
Controls what kind of data casting may occur. Defaults to 'same_kind'.
.. versionadded:: 1.20.0
Returns
-------
res : ndarray
The concatenated array.
See Also
--------
ma.concatenate : Concatenate function that preserves input masks.
array_split : Split an array into multiple sub-arrays of equal or
near-equal size.
split : Split array into a list of multiple sub-arrays of equal size.
hsplit : Split array into multiple sub-arrays horizontally (column wise).
vsplit : Split array into multiple sub-arrays vertically (row wise).
dsplit : Split array into multiple sub-arrays along the 3rd axis (depth).
stack : Stack a sequence of arrays along a new axis.
block : Assemble arrays from blocks.
hstack : Stack arrays in sequence horizontally (column wise).
vstack : Stack arrays in sequence vertically (row wise).
dstack : Stack arrays in sequence depth wise (along third dimension).
column_stack : Stack 1-D arrays as columns into a 2-D array.
Notes
-----
When one or more of the arrays to be concatenated is a MaskedArray,
this function will return a MaskedArray object instead of an ndarray,
but the input masks are *not* preserved. In cases where a MaskedArray
is expected as input, use the ma.concatenate function from the masked
array module instead.
Examples
--------
>>> a = np.array([[1, 2], [3, 4]])
>>> b = np.array([[5, 6]])
>>> np.concatenate((a, b), axis=0)
array([[1, 2],
[3, 4],
[5, 6]])
>>> np.concatenate((a, b.T), axis=1)
array([[1, 2, 5],
[3, 4, 6]])
>>> np.concatenate((a, b), axis=None)
array([1, 2, 3, 4, 5, 6])
This function will not preserve masking of MaskedArray inputs.
>>> a = np.ma.arange(3)
>>> a[1] = np.ma.masked
>>> b = np.arange(2, 5)
>>> a
masked_array(data=[0, --, 2],
mask=[False, True, False],
fill_value=999999)
>>> b
array([2, 3, 4])
>>> np.concatenate([a, b])
masked_array(data=[0, 1, 2, 2, 3, 4],
mask=False,
fill_value=999999)
>>> np.ma.concatenate([a, b])
masked_array(data=[0, --, 2, 2, 3, 4],
mask=[False, True, False, False, False, False],
fill_value=999999)
"""
if out is not None:
# optimize for the typical case where only arrays is provided
arrays = list(arrays)
arrays.append(out)
return arrays
@array_function_from_c_func_and_dispatcher(_multiarray_umath.inner)
def inner(a, b):
"""
inner(a, b, /)
Inner product of two arrays.
Ordinary inner product of vectors for 1-D arrays (without complex
conjugation), in higher dimensions a sum product over the last axes.
Parameters
----------
a, b : array_like
If `a` and `b` are nonscalar, their last dimensions must match.
Returns
-------
out : ndarray
If `a` and `b` are both
scalars or both 1-D arrays then a scalar is returned; otherwise
an array is returned.
``out.shape = (*a.shape[:-1], *b.shape[:-1])``
Raises
------
ValueError
If both `a` and `b` are nonscalar and their last dimensions have
different sizes.
See Also
--------
tensordot : Sum products over arbitrary axes.
dot : Generalised matrix product, using second last dimension of `b`.
einsum : Einstein summation convention.
Notes
-----
For vectors (1-D arrays) it computes the ordinary inner-product::
np.inner(a, b) = sum(a[:]*b[:])
More generally, if `ndim(a) = r > 0` and `ndim(b) = s > 0`::
np.inner(a, b) = np.tensordot(a, b, axes=(-1,-1))
or explicitly::
np.inner(a, b)[i0,...,ir-2,j0,...,js-2]
= sum(a[i0,...,ir-2,:]*b[j0,...,js-2,:])
In addition `a` or `b` may be scalars, in which case::
np.inner(a,b) = a*b
Examples
--------
Ordinary inner product for vectors:
>>> a = np.array([1,2,3])
>>> b = np.array([0,1,0])
>>> np.inner(a, b)
2
Some multidimensional examples:
>>> a = np.arange(24).reshape((2,3,4))
>>> b = np.arange(4)
>>> c = np.inner(a, b)
>>> c.shape
(2, 3)
>>> c
array([[ 14, 38, 62],
[ 86, 110, 134]])
>>> a = np.arange(2).reshape((1,1,2))
>>> b = np.arange(6).reshape((3,2))
>>> c = np.inner(a, b)
>>> c.shape
(1, 1, 3)
>>> c
array([[[1, 3, 5]]])
An example where `b` is a scalar:
>>> np.inner(np.eye(2), 7)
array([[7., 0.],
[0., 7.]])
"""
return (a, b)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.where)
def where(condition, x=None, y=None):
"""
where(condition, [x, y], /)
Return elements chosen from `x` or `y` depending on `condition`.
.. note::
When only `condition` is provided, this function is a shorthand for
``np.asarray(condition).nonzero()``. Using `nonzero` directly should be
preferred, as it behaves correctly for subclasses. The rest of this
documentation covers only the case where all three arguments are
provided.
Parameters
----------
condition : array_like, bool
Where True, yield `x`, otherwise yield `y`.
x, y : array_like
Values from which to choose. `x`, `y` and `condition` need to be
broadcastable to some shape.
Returns
-------
out : ndarray
An array with elements from `x` where `condition` is True, and elements
from `y` elsewhere.
See Also
--------
choose
nonzero : The function that is called when x and y are omitted
Notes
-----
If all the arrays are 1-D, `where` is equivalent to::
[xv if c else yv
for c, xv, yv in zip(condition, x, y)]
Examples
--------
>>> a = np.arange(10)
>>> a
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> np.where(a < 5, a, 10*a)
array([ 0, 1, 2, 3, 4, 50, 60, 70, 80, 90])
This can be used on multidimensional arrays too:
>>> np.where([[True, False], [True, True]],
... [[1, 2], [3, 4]],
... [[9, 8], [7, 6]])
array([[1, 8],
[3, 4]])
The shapes of x, y, and the condition are broadcast together:
>>> x, y = np.ogrid[:3, :4]
>>> np.where(x < y, x, 10 + y) # both x and 10+y are broadcast
array([[10, 0, 0, 0],
[10, 11, 1, 1],
[10, 11, 12, 2]])
>>> a = np.array([[0, 1, 2],
... [0, 2, 4],
... [0, 3, 6]])
>>> np.where(a < 4, a, -1) # -1 is broadcast
array([[ 0, 1, 2],
[ 0, 2, -1],
[ 0, 3, -1]])
"""
return (condition, x, y)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.lexsort)
def lexsort(keys, axis=None):
"""
lexsort(keys, axis=-1)
Perform an indirect stable sort using a sequence of keys.
Given multiple sorting keys, which can be interpreted as columns in a
spreadsheet, lexsort returns an array of integer indices that describes
the sort order by multiple columns. The last key in the sequence is used
for the primary sort order, the second-to-last key for the secondary sort
order, and so on. The keys argument must be a sequence of objects that
can be converted to arrays of the same shape. If a 2D array is provided
for the keys argument, its rows are interpreted as the sorting keys and
sorting is according to the last row, second last row etc.
Parameters
----------
keys : (k, N) array or tuple containing k (N,)-shaped sequences
The `k` different "columns" to be sorted. The last column (or row if
`keys` is a 2D array) is the primary sort key.
axis : int, optional
Axis to be indirectly sorted. By default, sort over the last axis.
Returns
-------
indices : (N,) ndarray of ints
Array of indices that sort the keys along the specified axis.
See Also
--------
argsort : Indirect sort.
ndarray.sort : In-place sort.
sort : Return a sorted copy of an array.
Examples
--------
Sort names: first by surname, then by name.
>>> surnames = ('Hertz', 'Galilei', 'Hertz')
>>> first_names = ('Heinrich', 'Galileo', 'Gustav')
>>> ind = np.lexsort((first_names, surnames))
>>> ind
array([1, 2, 0])
>>> [surnames[i] + ", " + first_names[i] for i in ind]
['Galilei, Galileo', 'Hertz, Gustav', 'Hertz, Heinrich']
Sort two columns of numbers:
>>> a = [1,5,1,4,3,4,4] # First column
>>> b = [9,4,0,4,0,2,1] # Second column
>>> ind = np.lexsort((b,a)) # Sort by a, then by b
>>> ind
array([2, 0, 4, 6, 5, 3, 1])
>>> [(a[i],b[i]) for i in ind]
[(1, 0), (1, 9), (3, 0), (4, 1), (4, 2), (4, 4), (5, 4)]
Note that sorting is first according to the elements of ``a``.
Secondary sorting is according to the elements of ``b``.
A normal ``argsort`` would have yielded:
>>> [(a[i],b[i]) for i in np.argsort(a)]
[(1, 9), (1, 0), (3, 0), (4, 4), (4, 2), (4, 1), (5, 4)]
Structured arrays are sorted lexically by ``argsort``:
>>> x = np.array([(1,9), (5,4), (1,0), (4,4), (3,0), (4,2), (4,1)],
... dtype=np.dtype([('x', int), ('y', int)]))
>>> np.argsort(x) # or np.argsort(x, order=('x', 'y'))
array([2, 0, 4, 6, 5, 3, 1])
"""
if isinstance(keys, tuple):
return keys
else:
return (keys,)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.can_cast)
def can_cast(from_, to, casting=None):
"""
can_cast(from_, to, casting='safe')
Returns True if cast between data types can occur according to the
casting rule. If from is a scalar or array scalar, also returns
True if the scalar value can be cast without overflow or truncation
to an integer.
Parameters
----------
from_ : dtype, dtype specifier, scalar, or array
Data type, scalar, or array to cast from.
to : dtype or dtype specifier
Data type to cast to.
casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional
Controls what kind of data casting may occur.
* 'no' means the data types should not be cast at all.
* 'equiv' means only byte-order changes are allowed.
* 'safe' means only casts which can preserve values are allowed.
* 'same_kind' means only safe casts or casts within a kind,
like float64 to float32, are allowed.
* 'unsafe' means any data conversions may be done.
Returns
-------
out : bool
True if cast can occur according to the casting rule.
Notes
-----
.. versionchanged:: 1.17.0
Casting between a simple data type and a structured one is possible only
for "unsafe" casting. Casting to multiple fields is allowed, but
casting from multiple fields is not.
.. versionchanged:: 1.9.0
Casting from numeric to string types in 'safe' casting mode requires
that the string dtype length is long enough to store the maximum
integer/float value converted.
See also
--------
dtype, result_type
Examples
--------
Basic examples
>>> np.can_cast(np.int32, np.int64)
True
>>> np.can_cast(np.float64, complex)
True
>>> np.can_cast(complex, float)
False
>>> np.can_cast('i8', 'f8')
True
>>> np.can_cast('i8', 'f4')
False
>>> np.can_cast('i4', 'S4')
False
Casting scalars
>>> np.can_cast(100, 'i1')
True
>>> np.can_cast(150, 'i1')
False
>>> np.can_cast(150, 'u1')
True
>>> np.can_cast(3.5e100, np.float32)
False
>>> np.can_cast(1000.0, np.float32)
True
Array scalar checks the value, array does not
>>> np.can_cast(np.array(1000.0), np.float32)
True
>>> np.can_cast(np.array([1000.0]), np.float32)
False
Using the casting rules
>>> np.can_cast('i8', 'i8', 'no')
True
>>> np.can_cast('<i8', '>i8', 'no')
False
>>> np.can_cast('<i8', '>i8', 'equiv')
True
>>> np.can_cast('<i4', '>i8', 'equiv')
False
>>> np.can_cast('<i4', '>i8', 'safe')
True
>>> np.can_cast('<i8', '>i4', 'safe')
False
>>> np.can_cast('<i8', '>i4', 'same_kind')
True
>>> np.can_cast('<i8', '>u4', 'same_kind')
False
>>> np.can_cast('<i8', '>u4', 'unsafe')
True
"""
return (from_,)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.min_scalar_type)
def min_scalar_type(a):
"""
min_scalar_type(a, /)
For scalar ``a``, returns the data type with the smallest size
and smallest scalar kind which can hold its value. For non-scalar
array ``a``, returns the vector's dtype unmodified.
Floating point values are not demoted to integers,
and complex values are not demoted to floats.
Parameters
----------
a : scalar or array_like
The value whose minimal data type is to be found.
Returns
-------
out : dtype
The minimal data type.
Notes
-----
.. versionadded:: 1.6.0
See Also
--------
result_type, promote_types, dtype, can_cast
Examples
--------
>>> np.min_scalar_type(10)
dtype('uint8')
>>> np.min_scalar_type(-260)
dtype('int16')
>>> np.min_scalar_type(3.1)
dtype('float16')
>>> np.min_scalar_type(1e50)
dtype('float64')
>>> np.min_scalar_type(np.arange(4,dtype='f8'))
dtype('float64')
"""
return (a,)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.result_type)
def result_type(*arrays_and_dtypes):
"""
result_type(*arrays_and_dtypes)
Returns the type that results from applying the NumPy
type promotion rules to the arguments.
Type promotion in NumPy works similarly to the rules in languages
like C++, with some slight differences. When both scalars and
arrays are used, the array's type takes precedence and the actual value
of the scalar is taken into account.
For example, calculating 3*a, where a is an array of 32-bit floats,
intuitively should result in a 32-bit float output. If the 3 is a
32-bit integer, the NumPy rules indicate it can't convert losslessly
into a 32-bit float, so a 64-bit float should be the result type.
By examining the value of the constant, '3', we see that it fits in
an 8-bit integer, which can be cast losslessly into the 32-bit float.
Parameters
----------
arrays_and_dtypes : list of arrays and dtypes
The operands of some operation whose result type is needed.
Returns
-------
out : dtype
The result type.
See also
--------
dtype, promote_types, min_scalar_type, can_cast
Notes
-----
.. versionadded:: 1.6.0
The specific algorithm used is as follows.
Categories are determined by first checking which of boolean,
integer (int/uint), or floating point (float/complex) the maximum
kind of all the arrays and the scalars are.
If there are only scalars or the maximum category of the scalars
is higher than the maximum category of the arrays,
the data types are combined with :func:`promote_types`
to produce the return value.
Otherwise, `min_scalar_type` is called on each array, and
the resulting data types are all combined with :func:`promote_types`
to produce the return value.
The set of int values is not a subset of the uint values for types
with the same number of bits, something not reflected in
:func:`min_scalar_type`, but handled as a special case in `result_type`.
Examples
--------
>>> np.result_type(3, np.arange(7, dtype='i1'))
dtype('int8')
>>> np.result_type('i4', 'c8')
dtype('complex128')
>>> np.result_type(3.0, -2)
dtype('float64')
"""
return arrays_and_dtypes
@array_function_from_c_func_and_dispatcher(_multiarray_umath.dot)
def dot(a, b, out=None):
"""
dot(a, b, out=None)
Dot product of two arrays. Specifically,
- If both `a` and `b` are 1-D arrays, it is inner product of vectors
(without complex conjugation).
- If both `a` and `b` are 2-D arrays, it is matrix multiplication,
but using :func:`matmul` or ``a @ b`` is preferred.
- If either `a` or `b` is 0-D (scalar), it is equivalent to :func:`multiply`
and using ``numpy.multiply(a, b)`` or ``a * b`` is preferred.
- If `a` is an N-D array and `b` is a 1-D array, it is a sum product over
the last axis of `a` and `b`.
- If `a` is an N-D array and `b` is an M-D array (where ``M>=2``), it is a
sum product over the last axis of `a` and the second-to-last axis of `b`::
dot(a, b)[i,j,k,m] = sum(a[i,j,:] * b[k,:,m])
Parameters
----------
a : array_like
First argument.
b : array_like
Second argument.
out : ndarray, optional
Output argument. This must have the exact kind that would be returned
if it was not used. In particular, it must have the right type, must be
C-contiguous, and its dtype must be the dtype that would be returned
for `dot(a,b)`. This is a performance feature. Therefore, if these
conditions are not met, an exception is raised, instead of attempting
to be flexible.
Returns
-------
output : ndarray
Returns the dot product of `a` and `b`. If `a` and `b` are both
scalars or both 1-D arrays then a scalar is returned; otherwise
an array is returned.
If `out` is given, then it is returned.
Raises
------
ValueError
If the last dimension of `a` is not the same size as
the second-to-last dimension of `b`.
See Also
--------
vdot : Complex-conjugating dot product.
tensordot : Sum products over arbitrary axes.
einsum : Einstein summation convention.
matmul : '@' operator as method with out parameter.
linalg.multi_dot : Chained dot product.
Examples
--------
>>> np.dot(3, 4)
12
Neither argument is complex-conjugated:
>>> np.dot([2j, 3j], [2j, 3j])
(-13+0j)
For 2-D arrays it is the matrix product:
>>> a = [[1, 0], [0, 1]]
>>> b = [[4, 1], [2, 2]]
>>> np.dot(a, b)
array([[4, 1],
[2, 2]])
>>> a = np.arange(3*4*5*6).reshape((3,4,5,6))
>>> b = np.arange(3*4*5*6)[::-1].reshape((5,4,6,3))
>>> np.dot(a, b)[2,3,2,1,2,2]
499128
>>> sum(a[2,3,2,:] * b[1,2,:,2])
499128
"""
return (a, b, out)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.vdot)
def vdot(a, b):
"""
vdot(a, b, /)
Return the dot product of two vectors.
The vdot(`a`, `b`) function handles complex numbers differently than
dot(`a`, `b`). If the first argument is complex the complex conjugate
of the first argument is used for the calculation of the dot product.
Note that `vdot` handles multidimensional arrays differently than `dot`:
it does *not* perform a matrix product, but flattens input arguments
to 1-D vectors first. Consequently, it should only be used for vectors.
Parameters
----------
a : array_like
If `a` is complex the complex conjugate is taken before calculation
of the dot product.
b : array_like
Second argument to the dot product.
Returns
-------
output : ndarray
Dot product of `a` and `b`. Can be an int, float, or
complex depending on the types of `a` and `b`.
See Also
--------
dot : Return the dot product without using the complex conjugate of the
first argument.
Examples
--------
>>> a = np.array([1+2j,3+4j])
>>> b = np.array([5+6j,7+8j])
>>> np.vdot(a, b)
(70-8j)
>>> np.vdot(b, a)
(70+8j)
Note that higher-dimensional arrays are flattened!
>>> a = np.array([[1, 4], [5, 6]])
>>> b = np.array([[4, 1], [2, 2]])
>>> np.vdot(a, b)
30
>>> np.vdot(b, a)
30
>>> 1*4 + 4*1 + 5*2 + 6*2
30
"""
return (a, b)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.bincount)
def bincount(x, weights=None, minlength=None):
"""
bincount(x, /, weights=None, minlength=0)
Count number of occurrences of each value in array of non-negative ints.
The number of bins (of size 1) is one larger than the largest value in
`x`. If `minlength` is specified, there will be at least this number
of bins in the output array (though it will be longer if necessary,
depending on the contents of `x`).
Each bin gives the number of occurrences of its index value in `x`.
If `weights` is specified the input array is weighted by it, i.e. if a
value ``n`` is found at position ``i``, ``out[n] += weight[i]`` instead
of ``out[n] += 1``.
Parameters
----------
x : array_like, 1 dimension, nonnegative ints
Input array.
weights : array_like, optional
Weights, array of the same shape as `x`.
minlength : int, optional
A minimum number of bins for the output array.
.. versionadded:: 1.6.0
Returns
-------
out : ndarray of ints
The result of binning the input array.
The length of `out` is equal to ``np.amax(x)+1``.
Raises
------
ValueError
If the input is not 1-dimensional, or contains elements with negative
values, or if `minlength` is negative.
TypeError
If the type of the input is float or complex.
See Also
--------
histogram, digitize, unique
Examples
--------
>>> np.bincount(np.arange(5))
array([1, 1, 1, 1, 1])
>>> np.bincount(np.array([0, 1, 1, 3, 2, 1, 7]))
array([1, 3, 1, 1, 0, 0, 0, 1])
>>> x = np.array([0, 1, 1, 3, 2, 1, 7, 23])
>>> np.bincount(x).size == np.amax(x)+1
True
The input array needs to be of integer dtype, otherwise a
TypeError is raised:
>>> np.bincount(np.arange(5, dtype=float))
Traceback (most recent call last):
...
TypeError: Cannot cast array data from dtype('float64') to dtype('int64')
according to the rule 'safe'
A possible use of ``bincount`` is to perform sums over
variable-size chunks of an array, using the ``weights`` keyword.
>>> w = np.array([0.3, 0.5, 0.2, 0.7, 1., -0.6]) # weights
>>> x = np.array([0, 1, 1, 2, 2, 2])
>>> np.bincount(x, weights=w)
array([ 0.3, 0.7, 1.1])
"""
return (x, weights)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.ravel_multi_index)
def ravel_multi_index(multi_index, dims, mode=None, order=None):
"""
ravel_multi_index(multi_index, dims, mode='raise', order='C')
Converts a tuple of index arrays into an array of flat
indices, applying boundary modes to the multi-index.
Parameters
----------
multi_index : tuple of array_like
A tuple of integer arrays, one array for each dimension.
dims : tuple of ints
The shape of array into which the indices from ``multi_index`` apply.
mode : {'raise', 'wrap', 'clip'}, optional
Specifies how out-of-bounds indices are handled. Can specify
either one mode or a tuple of modes, one mode per index.
* 'raise' -- raise an error (default)
* 'wrap' -- wrap around
* 'clip' -- clip to the range
In 'clip' mode, a negative index which would normally
wrap will clip to 0 instead.
order : {'C', 'F'}, optional
Determines whether the multi-index should be viewed as
indexing in row-major (C-style) or column-major
(Fortran-style) order.
Returns
-------
raveled_indices : ndarray
An array of indices into the flattened version of an array
of dimensions ``dims``.
See Also
--------
unravel_index
Notes
-----
.. versionadded:: 1.6.0
Examples
--------
>>> arr = np.array([[3,6,6],[4,5,1]])
>>> np.ravel_multi_index(arr, (7,6))
array([22, 41, 37])
>>> np.ravel_multi_index(arr, (7,6), order='F')
array([31, 41, 13])
>>> np.ravel_multi_index(arr, (4,6), mode='clip')
array([22, 23, 19])
>>> np.ravel_multi_index(arr, (4,4), mode=('clip','wrap'))
array([12, 13, 13])
>>> np.ravel_multi_index((3,1,4,1), (6,7,8,9))
1621
"""
return multi_index
@array_function_from_c_func_and_dispatcher(_multiarray_umath.unravel_index)
def unravel_index(indices, shape=None, order=None):
"""
unravel_index(indices, shape, order='C')
Converts a flat index or array of flat indices into a tuple
of coordinate arrays.
Parameters
----------
indices : array_like
An integer array whose elements are indices into the flattened
version of an array of dimensions ``shape``. Before version 1.6.0,
this function accepted just one index value.
shape : tuple of ints
The shape of the array to use for unraveling ``indices``.
.. versionchanged:: 1.16.0
Renamed from ``dims`` to ``shape``.
order : {'C', 'F'}, optional
Determines whether the indices should be viewed as indexing in
row-major (C-style) or column-major (Fortran-style) order.
.. versionadded:: 1.6.0
Returns
-------
unraveled_coords : tuple of ndarray
Each array in the tuple has the same shape as the ``indices``
array.
See Also
--------
ravel_multi_index
Examples
--------
>>> np.unravel_index([22, 41, 37], (7,6))
(array([3, 6, 6]), array([4, 5, 1]))
>>> np.unravel_index([31, 41, 13], (7,6), order='F')
(array([3, 6, 6]), array([4, 5, 1]))
>>> np.unravel_index(1621, (6,7,8,9))
(3, 1, 4, 1)
"""
return (indices,)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.copyto)
def copyto(dst, src, casting=None, where=None):
"""
copyto(dst, src, casting='same_kind', where=True)
Copies values from one array to another, broadcasting as necessary.
Raises a TypeError if the `casting` rule is violated, and if
`where` is provided, it selects which elements to copy.
.. versionadded:: 1.7.0
Parameters
----------
dst : ndarray
The array into which values are copied.
src : array_like
The array from which values are copied.
casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional
Controls what kind of data casting may occur when copying.
* 'no' means the data types should not be cast at all.
* 'equiv' means only byte-order changes are allowed.
* 'safe' means only casts which can preserve values are allowed.
* 'same_kind' means only safe casts or casts within a kind,
like float64 to float32, are allowed.
* 'unsafe' means any data conversions may be done.
where : array_like of bool, optional
A boolean array which is broadcasted to match the dimensions
of `dst`, and selects elements to copy from `src` to `dst`
wherever it contains the value True.
"""
return (dst, src, where)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.putmask)
def putmask(a, mask, values):
"""
putmask(a, mask, values)
Changes elements of an array based on conditional and input values.
Sets ``a.flat[n] = values[n]`` for each n where ``mask.flat[n]==True``.
If `values` is not the same size as `a` and `mask` then it will repeat.
This gives behavior different from ``a[mask] = values``.
Parameters
----------
a : ndarray
Target array.
mask : array_like
Boolean mask array. It has to be the same shape as `a`.
values : array_like
Values to put into `a` where `mask` is True. If `values` is smaller
than `a` it will be repeated.
See Also
--------
place, put, take, copyto
Examples
--------
>>> x = np.arange(6).reshape(2, 3)
>>> np.putmask(x, x>2, x**2)
>>> x
array([[ 0, 1, 2],
[ 9, 16, 25]])
If `values` is smaller than `a` it is repeated:
>>> x = np.arange(5)
>>> np.putmask(x, x>1, [-33, -44])
>>> x
array([ 0, 1, -33, -44, -33])
"""
return (a, mask, values)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.packbits)
def packbits(a, axis=None, bitorder='big'):
"""
packbits(a, /, axis=None, bitorder='big')
Packs the elements of a binary-valued array into bits in a uint8 array.
The result is padded to full bytes by inserting zero bits at the end.
Parameters
----------
a : array_like
An array of integers or booleans whose elements should be packed to
bits.
axis : int, optional
The dimension over which bit-packing is done.
``None`` implies packing the flattened array.
bitorder : {'big', 'little'}, optional
The order of the input bits. 'big' will mimic bin(val),
``[0, 0, 0, 0, 0, 0, 1, 1] => 3 = 0b00000011``, 'little' will
reverse the order so ``[1, 1, 0, 0, 0, 0, 0, 0] => 3``.
Defaults to 'big'.
.. versionadded:: 1.17.0
Returns
-------
packed : ndarray
Array of type uint8 whose elements represent bits corresponding to the
logical (0 or nonzero) value of the input elements. The shape of
`packed` has the same number of dimensions as the input (unless `axis`
is None, in which case the output is 1-D).
See Also
--------
unpackbits: Unpacks elements of a uint8 array into a binary-valued output
array.
Examples
--------
>>> a = np.array([[[1,0,1],
... [0,1,0]],
... [[1,1,0],
... [0,0,1]]])
>>> b = np.packbits(a, axis=-1)
>>> b
array([[[160],
[ 64]],
[[192],
[ 32]]], dtype=uint8)
Note that in binary 160 = 1010 0000, 64 = 0100 0000, 192 = 1100 0000,
and 32 = 0010 0000.
"""
return (a,)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.unpackbits)
def unpackbits(a, axis=None, count=None, bitorder='big'):
"""
unpackbits(a, /, axis=None, count=None, bitorder='big')
Unpacks elements of a uint8 array into a binary-valued output array.
Each element of `a` represents a bit-field that should be unpacked
into a binary-valued output array. The shape of the output array is
either 1-D (if `axis` is ``None``) or the same shape as the input
array with unpacking done along the axis specified.
Parameters
----------
a : ndarray, uint8 type
Input array.
axis : int, optional
The dimension over which bit-unpacking is done.
``None`` implies unpacking the flattened array.
count : int or None, optional
The number of elements to unpack along `axis`, provided as a way
of undoing the effect of packing a size that is not a multiple
of eight. A non-negative number means to only unpack `count`
bits. A negative number means to trim off that many bits from
the end. ``None`` means to unpack the entire array (the
default). Counts larger than the available number of bits will
add zero padding to the output. Negative counts must not
exceed the available number of bits.
.. versionadded:: 1.17.0
bitorder : {'big', 'little'}, optional
The order of the returned bits. 'big' will mimic bin(val),
``3 = 0b00000011 => [0, 0, 0, 0, 0, 0, 1, 1]``, 'little' will reverse
the order to ``[1, 1, 0, 0, 0, 0, 0, 0]``.
Defaults to 'big'.
.. versionadded:: 1.17.0
Returns
-------
unpacked : ndarray, uint8 type
The elements are binary-valued (0 or 1).
See Also
--------
packbits : Packs the elements of a binary-valued array into bits in
a uint8 array.
Examples
--------
>>> a = np.array([[2], [7], [23]], dtype=np.uint8)
>>> a
array([[ 2],
[ 7],
[23]], dtype=uint8)
>>> b = np.unpackbits(a, axis=1)
>>> b
array([[0, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 0, 1, 1, 1],
[0, 0, 0, 1, 0, 1, 1, 1]], dtype=uint8)
>>> c = np.unpackbits(a, axis=1, count=-3)
>>> c
array([[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 1, 0]], dtype=uint8)
>>> p = np.packbits(b, axis=0)
>>> np.unpackbits(p, axis=0)
array([[0, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 0, 1, 1, 1],
[0, 0, 0, 1, 0, 1, 1, 1],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0]], dtype=uint8)
>>> np.array_equal(b, np.unpackbits(p, axis=0, count=b.shape[0]))
True
"""
return (a,)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.shares_memory)
def shares_memory(a, b, max_work=None):
"""
shares_memory(a, b, /, max_work=None)
Determine if two arrays share memory.
.. warning::
This function can be exponentially slow for some inputs, unless
`max_work` is set to a finite number or ``MAY_SHARE_BOUNDS``.
If in doubt, use `numpy.may_share_memory` instead.
Parameters
----------
a, b : ndarray
Input arrays
max_work : int, optional
Effort to spend on solving the overlap problem (maximum number
of candidate solutions to consider). The following special
values are recognized:
max_work=MAY_SHARE_EXACT (default)
The problem is solved exactly. In this case, the function returns
True only if there is an element shared between the arrays. Finding
the exact solution may take extremely long in some cases.
max_work=MAY_SHARE_BOUNDS
Only the memory bounds of a and b are checked.
Raises
------
numpy.TooHardError
Exceeded max_work.
Returns
-------
out : bool
See Also
--------
may_share_memory
Examples
--------
>>> x = np.array([1, 2, 3, 4])
>>> np.shares_memory(x, np.array([5, 6, 7]))
False
>>> np.shares_memory(x[::2], x)
True
>>> np.shares_memory(x[::2], x[1::2])
False
Checking whether two arrays share memory is NP-complete, and
runtime may increase exponentially in the number of
dimensions. Hence, `max_work` should generally be set to a finite
number, as it is possible to construct examples that take
extremely long to run:
>>> from numpy.lib.stride_tricks import as_strided
>>> x = np.zeros([192163377], dtype=np.int8)
>>> x1 = as_strided(x, strides=(36674, 61119, 85569), shape=(1049, 1049, 1049))
>>> x2 = as_strided(x[64023025:], strides=(12223, 12224, 1), shape=(1049, 1049, 1))
>>> np.shares_memory(x1, x2, max_work=1000)
Traceback (most recent call last):
...
numpy.TooHardError: Exceeded max_work
Running ``np.shares_memory(x1, x2)`` without `max_work` set takes
around 1 minute for this case. It is possible to find problems
that take still significantly longer.
"""
return (a, b)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.may_share_memory)
def may_share_memory(a, b, max_work=None):
"""
may_share_memory(a, b, /, max_work=None)
Determine if two arrays might share memory
A return of True does not necessarily mean that the two arrays
share any element. It just means that they *might*.
Only the memory bounds of a and b are checked by default.
Parameters
----------
a, b : ndarray
Input arrays
max_work : int, optional
Effort to spend on solving the overlap problem. See
`shares_memory` for details. Default for ``may_share_memory``
is to do a bounds check.
Returns
-------
out : bool
See Also
--------
shares_memory
Examples
--------
>>> np.may_share_memory(np.array([1,2]), np.array([5,8,9]))
False
>>> x = np.zeros([3, 4])
>>> np.may_share_memory(x[:,0], x[:,1])
True
"""
return (a, b)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.is_busday)
def is_busday(dates, weekmask=None, holidays=None, busdaycal=None, out=None):
"""
is_busday(dates, weekmask='1111100', holidays=None, busdaycal=None, out=None)
Calculates which of the given dates are valid days, and which are not.
.. versionadded:: 1.7.0
Parameters
----------
dates : array_like of datetime64[D]
The array of dates to process.
weekmask : str or array_like of bool, optional
A seven-element array indicating which of Monday through Sunday are
valid days. May be specified as a length-seven list or array, like
[1,1,1,1,1,0,0]; a length-seven string, like '1111100'; or a string
like "Mon Tue Wed Thu Fri", made up of 3-character abbreviations for
weekdays, optionally separated by white space. Valid abbreviations
are: Mon Tue Wed Thu Fri Sat Sun
holidays : array_like of datetime64[D], optional
An array of dates to consider as invalid dates. They may be
specified in any order, and NaT (not-a-time) dates are ignored.
This list is saved in a normalized form that is suited for
fast calculations of valid days.
busdaycal : busdaycalendar, optional
A `busdaycalendar` object which specifies the valid days. If this
parameter is provided, neither weekmask nor holidays may be
provided.
out : array of bool, optional
If provided, this array is filled with the result.
Returns
-------
out : array of bool
An array with the same shape as ``dates``, containing True for
each valid day, and False for each invalid day.
See Also
--------
busdaycalendar : An object that specifies a custom set of valid days.
busday_offset : Applies an offset counted in valid days.
busday_count : Counts how many valid days are in a half-open date range.
Examples
--------
>>> # The weekdays are Friday, Saturday, and Monday
... np.is_busday(['2011-07-01', '2011-07-02', '2011-07-18'],
... holidays=['2011-07-01', '2011-07-04', '2011-07-17'])
array([False, False, True])
"""
return (dates, weekmask, holidays, out)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.busday_offset)
def busday_offset(dates, offsets, roll=None, weekmask=None, holidays=None,
busdaycal=None, out=None):
"""
busday_offset(dates, offsets, roll='raise', weekmask='1111100', holidays=None, busdaycal=None, out=None)
First adjusts the date to fall on a valid day according to
the ``roll`` rule, then applies offsets to the given dates
counted in valid days.
.. versionadded:: 1.7.0
Parameters
----------
dates : array_like of datetime64[D]
The array of dates to process.
offsets : array_like of int
The array of offsets, which is broadcast with ``dates``.
roll : {'raise', 'nat', 'forward', 'following', 'backward', 'preceding', 'modifiedfollowing', 'modifiedpreceding'}, optional
How to treat dates that do not fall on a valid day. The default
is 'raise'.
* 'raise' means to raise an exception for an invalid day.
* 'nat' means to return a NaT (not-a-time) for an invalid day.
* 'forward' and 'following' mean to take the first valid day
later in time.
* 'backward' and 'preceding' mean to take the first valid day
earlier in time.
* 'modifiedfollowing' means to take the first valid day
later in time unless it is across a Month boundary, in which
case to take the first valid day earlier in time.
* 'modifiedpreceding' means to take the first valid day
earlier in time unless it is across a Month boundary, in which
case to take the first valid day later in time.
weekmask : str or array_like of bool, optional
A seven-element array indicating which of Monday through Sunday are
valid days. May be specified as a length-seven list or array, like
[1,1,1,1,1,0,0]; a length-seven string, like '1111100'; or a string
like "Mon Tue Wed Thu Fri", made up of 3-character abbreviations for
weekdays, optionally separated by white space. Valid abbreviations
are: Mon Tue Wed Thu Fri Sat Sun
holidays : array_like of datetime64[D], optional
An array of dates to consider as invalid dates. They may be
specified in any order, and NaT (not-a-time) dates are ignored.
This list is saved in a normalized form that is suited for
fast calculations of valid days.
busdaycal : busdaycalendar, optional
A `busdaycalendar` object which specifies the valid days. If this
parameter is provided, neither weekmask nor holidays may be
provided.
out : array of datetime64[D], optional
If provided, this array is filled with the result.
Returns
-------
out : array of datetime64[D]
An array with a shape from broadcasting ``dates`` and ``offsets``
together, containing the dates with offsets applied.
See Also
--------
busdaycalendar : An object that specifies a custom set of valid days.
is_busday : Returns a boolean array indicating valid days.
busday_count : Counts how many valid days are in a half-open date range.
Examples
--------
>>> # First business day in October 2011 (not accounting for holidays)
... np.busday_offset('2011-10', 0, roll='forward')
numpy.datetime64('2011-10-03')
>>> # Last business day in February 2012 (not accounting for holidays)
... np.busday_offset('2012-03', -1, roll='forward')
numpy.datetime64('2012-02-29')
>>> # Third Wednesday in January 2011
... np.busday_offset('2011-01', 2, roll='forward', weekmask='Wed')
numpy.datetime64('2011-01-19')
>>> # 2012 Mother's Day in Canada and the U.S.
... np.busday_offset('2012-05', 1, roll='forward', weekmask='Sun')
numpy.datetime64('2012-05-13')
>>> # First business day on or after a date
... np.busday_offset('2011-03-20', 0, roll='forward')
numpy.datetime64('2011-03-21')
>>> np.busday_offset('2011-03-22', 0, roll='forward')
numpy.datetime64('2011-03-22')
>>> # First business day after a date
... np.busday_offset('2011-03-20', 1, roll='backward')
numpy.datetime64('2011-03-21')
>>> np.busday_offset('2011-03-22', 1, roll='backward')
numpy.datetime64('2011-03-23')
"""
return (dates, offsets, weekmask, holidays, out)
@array_function_from_c_func_and_dispatcher(_multiarray_umath.busday_count)
def busday_count(begindates, enddates, weekmask=None, holidays=None,
busdaycal=None, out=None):
"""
busday_count(begindates, enddates, weekmask='1111100', holidays=[], busdaycal=None, out=None)
Counts the number of valid days between `begindates` and
`enddates`, not including the day of `enddates`.
If ``enddates`` specifies a date value that is earlier than the
corresponding ``begindates`` date value, the count will be negative.
.. versionadded:: 1.7.0
Parameters
----------
begindates : array_like of datetime64[D]
The array of the first dates for counting.
enddates : array_like of datetime64[D]
The array of the end dates for counting, which are excluded
from the count themselves.
weekmask : str or array_like of bool, optional
A seven-element array indicating which of Monday through Sunday are
valid days. May be specified as a length-seven list or array, like
[1,1,1,1,1,0,0]; a length-seven string, like '1111100'; or a string
like "Mon Tue Wed Thu Fri", made up of 3-character abbreviations for
weekdays, optionally separated by white space. Valid abbreviations
are: Mon Tue Wed Thu Fri Sat Sun
holidays : array_like of datetime64[D], optional
An array of dates to consider as invalid dates. They may be
specified in any order, and NaT (not-a-time) dates are ignored.
This list is saved in a normalized form that is suited for
fast calculations of valid days.
busdaycal : busdaycalendar, optional
A `busdaycalendar` object which specifies the valid days. If this
parameter is provided, neither weekmask nor holidays may be
provided.
out : array of int, optional
If provided, this array is filled with the result.
Returns
-------
out : array of int
An array with a shape from broadcasting ``begindates`` and ``enddates``
together, containing the number of valid days between
the begin and end dates.
See Also
--------
busdaycalendar : An object that specifies a custom set of valid days.
is_busday : Returns a boolean array indicating valid days.
busday_offset : Applies an offset counted in valid days.
Examples
--------
>>> # Number of weekdays in January 2011
... np.busday_count('2011-01', '2011-02')
21
>>> # Number of weekdays in 2011
>>> np.busday_count('2011', '2012')
260
>>> # Number of Saturdays in 2011
... np.busday_count('2011', '2012', weekmask='Sat')
53
"""
return (begindates, enddates, weekmask, holidays, out)
@array_function_from_c_func_and_dispatcher(
_multiarray_umath.datetime_as_string)
def datetime_as_string(arr, unit=None, timezone=None, casting=None):
"""
datetime_as_string(arr, unit=None, timezone='naive', casting='same_kind')
Convert an array of datetimes into an array of strings.
Parameters
----------
arr : array_like of datetime64
The array of UTC timestamps to format.
unit : str
One of None, 'auto', or a :ref:`datetime unit <arrays.dtypes.dateunits>`.
timezone : {'naive', 'UTC', 'local'} or tzinfo
Timezone information to use when displaying the datetime. If 'UTC', end
with a Z to indicate UTC time. If 'local', convert to the local timezone
first, and suffix with a +-#### timezone offset. If a tzinfo object,
then do as with 'local', but use the specified timezone.
casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}
Casting to allow when changing between datetime units.
Returns
-------
str_arr : ndarray
An array of strings the same shape as `arr`.
Examples
--------
>>> import pytz
>>> d = np.arange('2002-10-27T04:30', 4*60, 60, dtype='M8[m]')
>>> d
array(['2002-10-27T04:30', '2002-10-27T05:30', '2002-10-27T06:30',
'2002-10-27T07:30'], dtype='datetime64[m]')
Setting the timezone to UTC shows the same information, but with a Z suffix
>>> np.datetime_as_string(d, timezone='UTC')
array(['2002-10-27T04:30Z', '2002-10-27T05:30Z', '2002-10-27T06:30Z',
'2002-10-27T07:30Z'], dtype='<U35')
Note that we picked datetimes that cross a DST boundary. Passing in a
``pytz`` timezone object will print the appropriate offset
>>> np.datetime_as_string(d, timezone=pytz.timezone('US/Eastern'))
array(['2002-10-27T00:30-0400', '2002-10-27T01:30-0400',
'2002-10-27T01:30-0500', '2002-10-27T02:30-0500'], dtype='<U39')
Passing in a unit will change the precision
>>> np.datetime_as_string(d, unit='h')
array(['2002-10-27T04', '2002-10-27T05', '2002-10-27T06', '2002-10-27T07'],
dtype='<U32')
>>> np.datetime_as_string(d, unit='s')
array(['2002-10-27T04:30:00', '2002-10-27T05:30:00', '2002-10-27T06:30:00',
'2002-10-27T07:30:00'], dtype='<U38')
'casting' can be used to specify whether precision can be changed
>>> np.datetime_as_string(d, unit='h', casting='safe')
Traceback (most recent call last):
...
TypeError: Cannot create a datetime string as units 'h' from a NumPy
datetime with units 'm' according to the rule 'safe'
"""
return (arr,)
| 55,434 | Python | 31.782377 | 128 | 0.604449 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/fromnumeric.pyi | import datetime as dt
from collections.abc import Sequence
from typing import Union, Any, overload, TypeVar, Literal, SupportsIndex
from numpy import (
ndarray,
number,
uint64,
int_,
int64,
intp,
float16,
bool_,
floating,
complexfloating,
object_,
generic,
_OrderKACF,
_OrderACF,
_ModeKind,
_PartitionKind,
_SortKind,
_SortSide,
)
from numpy._typing import (
DTypeLike,
_DTypeLike,
ArrayLike,
_ArrayLike,
NDArray,
_ShapeLike,
_Shape,
_ArrayLikeBool_co,
_ArrayLikeUInt_co,
_ArrayLikeInt_co,
_ArrayLikeFloat_co,
_ArrayLikeComplex_co,
_ArrayLikeObject_co,
_IntLike_co,
_BoolLike_co,
_ComplexLike_co,
_NumberLike_co,
_ScalarLike_co,
)
_SCT = TypeVar("_SCT", bound=generic)
_SCT_uifcO = TypeVar("_SCT_uifcO", bound=number[Any] | object_)
_ArrayType = TypeVar("_ArrayType", bound=NDArray[Any])
__all__: list[str]
@overload
def take(
a: _ArrayLike[_SCT],
indices: _IntLike_co,
axis: None = ...,
out: None = ...,
mode: _ModeKind = ...,
) -> _SCT: ...
@overload
def take(
a: ArrayLike,
indices: _IntLike_co,
axis: None | SupportsIndex = ...,
out: None = ...,
mode: _ModeKind = ...,
) -> Any: ...
@overload
def take(
a: _ArrayLike[_SCT],
indices: _ArrayLikeInt_co,
axis: None | SupportsIndex = ...,
out: None = ...,
mode: _ModeKind = ...,
) -> NDArray[_SCT]: ...
@overload
def take(
a: ArrayLike,
indices: _ArrayLikeInt_co,
axis: None | SupportsIndex = ...,
out: None = ...,
mode: _ModeKind = ...,
) -> NDArray[Any]: ...
@overload
def take(
a: ArrayLike,
indices: _ArrayLikeInt_co,
axis: None | SupportsIndex = ...,
out: _ArrayType = ...,
mode: _ModeKind = ...,
) -> _ArrayType: ...
@overload
def reshape(
a: _ArrayLike[_SCT],
newshape: _ShapeLike,
order: _OrderACF = ...,
) -> NDArray[_SCT]: ...
@overload
def reshape(
a: ArrayLike,
newshape: _ShapeLike,
order: _OrderACF = ...,
) -> NDArray[Any]: ...
@overload
def choose(
a: _IntLike_co,
choices: ArrayLike,
out: None = ...,
mode: _ModeKind = ...,
) -> Any: ...
@overload
def choose(
a: _ArrayLikeInt_co,
choices: _ArrayLike[_SCT],
out: None = ...,
mode: _ModeKind = ...,
) -> NDArray[_SCT]: ...
@overload
def choose(
a: _ArrayLikeInt_co,
choices: ArrayLike,
out: None = ...,
mode: _ModeKind = ...,
) -> NDArray[Any]: ...
@overload
def choose(
a: _ArrayLikeInt_co,
choices: ArrayLike,
out: _ArrayType = ...,
mode: _ModeKind = ...,
) -> _ArrayType: ...
@overload
def repeat(
a: _ArrayLike[_SCT],
repeats: _ArrayLikeInt_co,
axis: None | SupportsIndex = ...,
) -> NDArray[_SCT]: ...
@overload
def repeat(
a: ArrayLike,
repeats: _ArrayLikeInt_co,
axis: None | SupportsIndex = ...,
) -> NDArray[Any]: ...
def put(
a: NDArray[Any],
ind: _ArrayLikeInt_co,
v: ArrayLike,
mode: _ModeKind = ...,
) -> None: ...
@overload
def swapaxes(
a: _ArrayLike[_SCT],
axis1: SupportsIndex,
axis2: SupportsIndex,
) -> NDArray[_SCT]: ...
@overload
def swapaxes(
a: ArrayLike,
axis1: SupportsIndex,
axis2: SupportsIndex,
) -> NDArray[Any]: ...
@overload
def transpose(
a: _ArrayLike[_SCT],
axes: None | _ShapeLike = ...
) -> NDArray[_SCT]: ...
@overload
def transpose(
a: ArrayLike,
axes: None | _ShapeLike = ...
) -> NDArray[Any]: ...
@overload
def partition(
a: _ArrayLike[_SCT],
kth: _ArrayLikeInt_co,
axis: None | SupportsIndex = ...,
kind: _PartitionKind = ...,
order: None | str | Sequence[str] = ...,
) -> NDArray[_SCT]: ...
@overload
def partition(
a: ArrayLike,
kth: _ArrayLikeInt_co,
axis: None | SupportsIndex = ...,
kind: _PartitionKind = ...,
order: None | str | Sequence[str] = ...,
) -> NDArray[Any]: ...
def argpartition(
a: ArrayLike,
kth: _ArrayLikeInt_co,
axis: None | SupportsIndex = ...,
kind: _PartitionKind = ...,
order: None | str | Sequence[str] = ...,
) -> NDArray[intp]: ...
@overload
def sort(
a: _ArrayLike[_SCT],
axis: None | SupportsIndex = ...,
kind: None | _SortKind = ...,
order: None | str | Sequence[str] = ...,
) -> NDArray[_SCT]: ...
@overload
def sort(
a: ArrayLike,
axis: None | SupportsIndex = ...,
kind: None | _SortKind = ...,
order: None | str | Sequence[str] = ...,
) -> NDArray[Any]: ...
def argsort(
a: ArrayLike,
axis: None | SupportsIndex = ...,
kind: None | _SortKind = ...,
order: None | str | Sequence[str] = ...,
) -> NDArray[intp]: ...
@overload
def argmax(
a: ArrayLike,
axis: None = ...,
out: None = ...,
*,
keepdims: Literal[False] = ...,
) -> intp: ...
@overload
def argmax(
a: ArrayLike,
axis: None | SupportsIndex = ...,
out: None = ...,
*,
keepdims: bool = ...,
) -> Any: ...
@overload
def argmax(
a: ArrayLike,
axis: None | SupportsIndex = ...,
out: _ArrayType = ...,
*,
keepdims: bool = ...,
) -> _ArrayType: ...
@overload
def argmin(
a: ArrayLike,
axis: None = ...,
out: None = ...,
*,
keepdims: Literal[False] = ...,
) -> intp: ...
@overload
def argmin(
a: ArrayLike,
axis: None | SupportsIndex = ...,
out: None = ...,
*,
keepdims: bool = ...,
) -> Any: ...
@overload
def argmin(
a: ArrayLike,
axis: None | SupportsIndex = ...,
out: _ArrayType = ...,
*,
keepdims: bool = ...,
) -> _ArrayType: ...
@overload
def searchsorted(
a: ArrayLike,
v: _ScalarLike_co,
side: _SortSide = ...,
sorter: None | _ArrayLikeInt_co = ..., # 1D int array
) -> intp: ...
@overload
def searchsorted(
a: ArrayLike,
v: ArrayLike,
side: _SortSide = ...,
sorter: None | _ArrayLikeInt_co = ..., # 1D int array
) -> NDArray[intp]: ...
@overload
def resize(
a: _ArrayLike[_SCT],
new_shape: _ShapeLike,
) -> NDArray[_SCT]: ...
@overload
def resize(
a: ArrayLike,
new_shape: _ShapeLike,
) -> NDArray[Any]: ...
@overload
def squeeze(
a: _SCT,
axis: None | _ShapeLike = ...,
) -> _SCT: ...
@overload
def squeeze(
a: _ArrayLike[_SCT],
axis: None | _ShapeLike = ...,
) -> NDArray[_SCT]: ...
@overload
def squeeze(
a: ArrayLike,
axis: None | _ShapeLike = ...,
) -> NDArray[Any]: ...
@overload
def diagonal(
a: _ArrayLike[_SCT],
offset: SupportsIndex = ...,
axis1: SupportsIndex = ...,
axis2: SupportsIndex = ..., # >= 2D array
) -> NDArray[_SCT]: ...
@overload
def diagonal(
a: ArrayLike,
offset: SupportsIndex = ...,
axis1: SupportsIndex = ...,
axis2: SupportsIndex = ..., # >= 2D array
) -> NDArray[Any]: ...
@overload
def trace(
a: ArrayLike, # >= 2D array
offset: SupportsIndex = ...,
axis1: SupportsIndex = ...,
axis2: SupportsIndex = ...,
dtype: DTypeLike = ...,
out: None = ...,
) -> Any: ...
@overload
def trace(
a: ArrayLike, # >= 2D array
offset: SupportsIndex = ...,
axis1: SupportsIndex = ...,
axis2: SupportsIndex = ...,
dtype: DTypeLike = ...,
out: _ArrayType = ...,
) -> _ArrayType: ...
@overload
def ravel(a: _ArrayLike[_SCT], order: _OrderKACF = ...) -> NDArray[_SCT]: ...
@overload
def ravel(a: ArrayLike, order: _OrderKACF = ...) -> NDArray[Any]: ...
def nonzero(a: ArrayLike) -> tuple[NDArray[intp], ...]: ...
def shape(a: ArrayLike) -> _Shape: ...
@overload
def compress(
condition: _ArrayLikeBool_co, # 1D bool array
a: _ArrayLike[_SCT],
axis: None | SupportsIndex = ...,
out: None = ...,
) -> NDArray[_SCT]: ...
@overload
def compress(
condition: _ArrayLikeBool_co, # 1D bool array
a: ArrayLike,
axis: None | SupportsIndex = ...,
out: None = ...,
) -> NDArray[Any]: ...
@overload
def compress(
condition: _ArrayLikeBool_co, # 1D bool array
a: ArrayLike,
axis: None | SupportsIndex = ...,
out: _ArrayType = ...,
) -> _ArrayType: ...
@overload
def clip(
a: _SCT,
a_min: None | ArrayLike,
a_max: None | ArrayLike,
out: None = ...,
*,
dtype: None = ...,
where: None | _ArrayLikeBool_co = ...,
order: _OrderKACF = ...,
subok: bool = ...,
signature: str | tuple[None | str, ...] = ...,
extobj: list[Any] = ...,
) -> _SCT: ...
@overload
def clip(
a: _ScalarLike_co,
a_min: None | ArrayLike,
a_max: None | ArrayLike,
out: None = ...,
*,
dtype: None = ...,
where: None | _ArrayLikeBool_co = ...,
order: _OrderKACF = ...,
subok: bool = ...,
signature: str | tuple[None | str, ...] = ...,
extobj: list[Any] = ...,
) -> Any: ...
@overload
def clip(
a: _ArrayLike[_SCT],
a_min: None | ArrayLike,
a_max: None | ArrayLike,
out: None = ...,
*,
dtype: None = ...,
where: None | _ArrayLikeBool_co = ...,
order: _OrderKACF = ...,
subok: bool = ...,
signature: str | tuple[None | str, ...] = ...,
extobj: list[Any] = ...,
) -> NDArray[_SCT]: ...
@overload
def clip(
a: ArrayLike,
a_min: None | ArrayLike,
a_max: None | ArrayLike,
out: None = ...,
*,
dtype: None = ...,
where: None | _ArrayLikeBool_co = ...,
order: _OrderKACF = ...,
subok: bool = ...,
signature: str | tuple[None | str, ...] = ...,
extobj: list[Any] = ...,
) -> NDArray[Any]: ...
@overload
def clip(
a: ArrayLike,
a_min: None | ArrayLike,
a_max: None | ArrayLike,
out: _ArrayType = ...,
*,
dtype: DTypeLike,
where: None | _ArrayLikeBool_co = ...,
order: _OrderKACF = ...,
subok: bool = ...,
signature: str | tuple[None | str, ...] = ...,
extobj: list[Any] = ...,
) -> Any: ...
@overload
def clip(
a: ArrayLike,
a_min: None | ArrayLike,
a_max: None | ArrayLike,
out: _ArrayType,
*,
dtype: DTypeLike = ...,
where: None | _ArrayLikeBool_co = ...,
order: _OrderKACF = ...,
subok: bool = ...,
signature: str | tuple[None | str, ...] = ...,
extobj: list[Any] = ...,
) -> _ArrayType: ...
@overload
def sum(
a: _ArrayLike[_SCT],
axis: None = ...,
dtype: None = ...,
out: None = ...,
keepdims: bool = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> _SCT: ...
@overload
def sum(
a: ArrayLike,
axis: None | _ShapeLike = ...,
dtype: DTypeLike = ...,
out: None = ...,
keepdims: bool = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> Any: ...
@overload
def sum(
a: ArrayLike,
axis: None | _ShapeLike = ...,
dtype: DTypeLike = ...,
out: _ArrayType = ...,
keepdims: bool = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> _ArrayType: ...
@overload
def all(
a: ArrayLike,
axis: None = ...,
out: None = ...,
keepdims: Literal[False] = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> bool_: ...
@overload
def all(
a: ArrayLike,
axis: None | _ShapeLike = ...,
out: None = ...,
keepdims: bool = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> Any: ...
@overload
def all(
a: ArrayLike,
axis: None | _ShapeLike = ...,
out: _ArrayType = ...,
keepdims: bool = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> _ArrayType: ...
@overload
def any(
a: ArrayLike,
axis: None = ...,
out: None = ...,
keepdims: Literal[False] = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> bool_: ...
@overload
def any(
a: ArrayLike,
axis: None | _ShapeLike = ...,
out: None = ...,
keepdims: bool = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> Any: ...
@overload
def any(
a: ArrayLike,
axis: None | _ShapeLike = ...,
out: _ArrayType = ...,
keepdims: bool = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> _ArrayType: ...
@overload
def cumsum(
a: _ArrayLike[_SCT],
axis: None | SupportsIndex = ...,
dtype: None = ...,
out: None = ...,
) -> NDArray[_SCT]: ...
@overload
def cumsum(
a: ArrayLike,
axis: None | SupportsIndex = ...,
dtype: None = ...,
out: None = ...,
) -> NDArray[Any]: ...
@overload
def cumsum(
a: ArrayLike,
axis: None | SupportsIndex = ...,
dtype: _DTypeLike[_SCT] = ...,
out: None = ...,
) -> NDArray[_SCT]: ...
@overload
def cumsum(
a: ArrayLike,
axis: None | SupportsIndex = ...,
dtype: DTypeLike = ...,
out: None = ...,
) -> NDArray[Any]: ...
@overload
def cumsum(
a: ArrayLike,
axis: None | SupportsIndex = ...,
dtype: DTypeLike = ...,
out: _ArrayType = ...,
) -> _ArrayType: ...
@overload
def ptp(
a: _ArrayLike[_SCT],
axis: None = ...,
out: None = ...,
keepdims: Literal[False] = ...,
) -> _SCT: ...
@overload
def ptp(
a: ArrayLike,
axis: None | _ShapeLike = ...,
out: None = ...,
keepdims: bool = ...,
) -> Any: ...
@overload
def ptp(
a: ArrayLike,
axis: None | _ShapeLike = ...,
out: _ArrayType = ...,
keepdims: bool = ...,
) -> _ArrayType: ...
@overload
def amax(
a: _ArrayLike[_SCT],
axis: None = ...,
out: None = ...,
keepdims: Literal[False] = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> _SCT: ...
@overload
def amax(
a: ArrayLike,
axis: None | _ShapeLike = ...,
out: None = ...,
keepdims: bool = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> Any: ...
@overload
def amax(
a: ArrayLike,
axis: None | _ShapeLike = ...,
out: _ArrayType = ...,
keepdims: bool = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> _ArrayType: ...
@overload
def amin(
a: _ArrayLike[_SCT],
axis: None = ...,
out: None = ...,
keepdims: Literal[False] = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> _SCT: ...
@overload
def amin(
a: ArrayLike,
axis: None | _ShapeLike = ...,
out: None = ...,
keepdims: bool = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> Any: ...
@overload
def amin(
a: ArrayLike,
axis: None | _ShapeLike = ...,
out: _ArrayType = ...,
keepdims: bool = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> _ArrayType: ...
# TODO: `np.prod()``: For object arrays `initial` does not necessarily
# have to be a numerical scalar.
# The only requirement is that it is compatible
# with the `.__mul__()` method(s) of the passed array's elements.
# Note that the same situation holds for all wrappers around
# `np.ufunc.reduce`, e.g. `np.sum()` (`.__add__()`).
@overload
def prod(
a: _ArrayLikeBool_co,
axis: None = ...,
dtype: None = ...,
out: None = ...,
keepdims: Literal[False] = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> int_: ...
@overload
def prod(
a: _ArrayLikeUInt_co,
axis: None = ...,
dtype: None = ...,
out: None = ...,
keepdims: Literal[False] = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> uint64: ...
@overload
def prod(
a: _ArrayLikeInt_co,
axis: None = ...,
dtype: None = ...,
out: None = ...,
keepdims: Literal[False] = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> int64: ...
@overload
def prod(
a: _ArrayLikeFloat_co,
axis: None = ...,
dtype: None = ...,
out: None = ...,
keepdims: Literal[False] = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> floating[Any]: ...
@overload
def prod(
a: _ArrayLikeComplex_co,
axis: None = ...,
dtype: None = ...,
out: None = ...,
keepdims: Literal[False] = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> complexfloating[Any, Any]: ...
@overload
def prod(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | _ShapeLike = ...,
dtype: None = ...,
out: None = ...,
keepdims: bool = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> Any: ...
@overload
def prod(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None = ...,
dtype: _DTypeLike[_SCT] = ...,
out: None = ...,
keepdims: Literal[False] = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> _SCT: ...
@overload
def prod(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | _ShapeLike = ...,
dtype: None | DTypeLike = ...,
out: None = ...,
keepdims: bool = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> Any: ...
@overload
def prod(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | _ShapeLike = ...,
dtype: None | DTypeLike = ...,
out: _ArrayType = ...,
keepdims: bool = ...,
initial: _NumberLike_co = ...,
where: _ArrayLikeBool_co = ...,
) -> _ArrayType: ...
@overload
def cumprod(
a: _ArrayLikeBool_co,
axis: None | SupportsIndex = ...,
dtype: None = ...,
out: None = ...,
) -> NDArray[int_]: ...
@overload
def cumprod(
a: _ArrayLikeUInt_co,
axis: None | SupportsIndex = ...,
dtype: None = ...,
out: None = ...,
) -> NDArray[uint64]: ...
@overload
def cumprod(
a: _ArrayLikeInt_co,
axis: None | SupportsIndex = ...,
dtype: None = ...,
out: None = ...,
) -> NDArray[int64]: ...
@overload
def cumprod(
a: _ArrayLikeFloat_co,
axis: None | SupportsIndex = ...,
dtype: None = ...,
out: None = ...,
) -> NDArray[floating[Any]]: ...
@overload
def cumprod(
a: _ArrayLikeComplex_co,
axis: None | SupportsIndex = ...,
dtype: None = ...,
out: None = ...,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def cumprod(
a: _ArrayLikeObject_co,
axis: None | SupportsIndex = ...,
dtype: None = ...,
out: None = ...,
) -> NDArray[object_]: ...
@overload
def cumprod(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | SupportsIndex = ...,
dtype: _DTypeLike[_SCT] = ...,
out: None = ...,
) -> NDArray[_SCT]: ...
@overload
def cumprod(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | SupportsIndex = ...,
dtype: DTypeLike = ...,
out: None = ...,
) -> NDArray[Any]: ...
@overload
def cumprod(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | SupportsIndex = ...,
dtype: DTypeLike = ...,
out: _ArrayType = ...,
) -> _ArrayType: ...
def ndim(a: ArrayLike) -> int: ...
def size(a: ArrayLike, axis: None | int = ...) -> int: ...
@overload
def around(
a: _BoolLike_co,
decimals: SupportsIndex = ...,
out: None = ...,
) -> float16: ...
@overload
def around(
a: _SCT_uifcO,
decimals: SupportsIndex = ...,
out: None = ...,
) -> _SCT_uifcO: ...
@overload
def around(
a: _ComplexLike_co | object_,
decimals: SupportsIndex = ...,
out: None = ...,
) -> Any: ...
@overload
def around(
a: _ArrayLikeBool_co,
decimals: SupportsIndex = ...,
out: None = ...,
) -> NDArray[float16]: ...
@overload
def around(
a: _ArrayLike[_SCT_uifcO],
decimals: SupportsIndex = ...,
out: None = ...,
) -> NDArray[_SCT_uifcO]: ...
@overload
def around(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
decimals: SupportsIndex = ...,
out: None = ...,
) -> NDArray[Any]: ...
@overload
def around(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
decimals: SupportsIndex = ...,
out: _ArrayType = ...,
) -> _ArrayType: ...
@overload
def mean(
a: _ArrayLikeFloat_co,
axis: None = ...,
dtype: None = ...,
out: None = ...,
keepdims: Literal[False] = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> floating[Any]: ...
@overload
def mean(
a: _ArrayLikeComplex_co,
axis: None = ...,
dtype: None = ...,
out: None = ...,
keepdims: Literal[False] = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> complexfloating[Any, Any]: ...
@overload
def mean(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | _ShapeLike = ...,
dtype: None = ...,
out: None = ...,
keepdims: bool = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> Any: ...
@overload
def mean(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None = ...,
dtype: _DTypeLike[_SCT] = ...,
out: None = ...,
keepdims: Literal[False] = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> _SCT: ...
@overload
def mean(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | _ShapeLike = ...,
dtype: DTypeLike = ...,
out: None = ...,
keepdims: bool = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> Any: ...
@overload
def mean(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | _ShapeLike = ...,
dtype: DTypeLike = ...,
out: _ArrayType = ...,
keepdims: bool = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> _ArrayType: ...
@overload
def std(
a: _ArrayLikeComplex_co,
axis: None = ...,
dtype: None = ...,
out: None = ...,
ddof: float = ...,
keepdims: Literal[False] = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> floating[Any]: ...
@overload
def std(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | _ShapeLike = ...,
dtype: None = ...,
out: None = ...,
ddof: float = ...,
keepdims: bool = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> Any: ...
@overload
def std(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None = ...,
dtype: _DTypeLike[_SCT] = ...,
out: None = ...,
ddof: float = ...,
keepdims: Literal[False] = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> _SCT: ...
@overload
def std(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | _ShapeLike = ...,
dtype: DTypeLike = ...,
out: None = ...,
ddof: float = ...,
keepdims: bool = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> Any: ...
@overload
def std(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | _ShapeLike = ...,
dtype: DTypeLike = ...,
out: _ArrayType = ...,
ddof: float = ...,
keepdims: bool = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> _ArrayType: ...
@overload
def var(
a: _ArrayLikeComplex_co,
axis: None = ...,
dtype: None = ...,
out: None = ...,
ddof: float = ...,
keepdims: Literal[False] = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> floating[Any]: ...
@overload
def var(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | _ShapeLike = ...,
dtype: None = ...,
out: None = ...,
ddof: float = ...,
keepdims: bool = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> Any: ...
@overload
def var(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None = ...,
dtype: _DTypeLike[_SCT] = ...,
out: None = ...,
ddof: float = ...,
keepdims: Literal[False] = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> _SCT: ...
@overload
def var(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | _ShapeLike = ...,
dtype: DTypeLike = ...,
out: None = ...,
ddof: float = ...,
keepdims: bool = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> Any: ...
@overload
def var(
a: _ArrayLikeComplex_co | _ArrayLikeObject_co,
axis: None | _ShapeLike = ...,
dtype: DTypeLike = ...,
out: _ArrayType = ...,
ddof: float = ...,
keepdims: bool = ...,
*,
where: _ArrayLikeBool_co = ...,
) -> _ArrayType: ...
| 23,472 | unknown | 21.355238 | 77 | 0.530845 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/records.pyi | import os
from collections.abc import Sequence, Iterable
from typing import (
Any,
TypeVar,
overload,
Protocol,
)
from numpy import (
format_parser as format_parser,
record as record,
recarray as recarray,
dtype,
generic,
void,
_ByteOrder,
_SupportsBuffer,
)
from numpy._typing import (
ArrayLike,
DTypeLike,
NDArray,
_ShapeLike,
_ArrayLikeVoid_co,
_NestedSequence,
)
_SCT = TypeVar("_SCT", bound=generic)
_RecArray = recarray[Any, dtype[_SCT]]
class _SupportsReadInto(Protocol):
def seek(self, offset: int, whence: int, /) -> object: ...
def tell(self, /) -> int: ...
def readinto(self, buffer: memoryview, /) -> int: ...
__all__: list[str]
@overload
def fromarrays(
arrayList: Iterable[ArrayLike],
dtype: DTypeLike = ...,
shape: None | _ShapeLike = ...,
formats: None = ...,
names: None = ...,
titles: None = ...,
aligned: bool = ...,
byteorder: None = ...,
) -> _RecArray[Any]: ...
@overload
def fromarrays(
arrayList: Iterable[ArrayLike],
dtype: None = ...,
shape: None | _ShapeLike = ...,
*,
formats: DTypeLike,
names: None | str | Sequence[str] = ...,
titles: None | str | Sequence[str] = ...,
aligned: bool = ...,
byteorder: None | _ByteOrder = ...,
) -> _RecArray[record]: ...
@overload
def fromrecords(
recList: _ArrayLikeVoid_co | tuple[Any, ...] | _NestedSequence[tuple[Any, ...]],
dtype: DTypeLike = ...,
shape: None | _ShapeLike = ...,
formats: None = ...,
names: None = ...,
titles: None = ...,
aligned: bool = ...,
byteorder: None = ...,
) -> _RecArray[record]: ...
@overload
def fromrecords(
recList: _ArrayLikeVoid_co | tuple[Any, ...] | _NestedSequence[tuple[Any, ...]],
dtype: None = ...,
shape: None | _ShapeLike = ...,
*,
formats: DTypeLike,
names: None | str | Sequence[str] = ...,
titles: None | str | Sequence[str] = ...,
aligned: bool = ...,
byteorder: None | _ByteOrder = ...,
) -> _RecArray[record]: ...
@overload
def fromstring(
datastring: _SupportsBuffer,
dtype: DTypeLike,
shape: None | _ShapeLike = ...,
offset: int = ...,
formats: None = ...,
names: None = ...,
titles: None = ...,
aligned: bool = ...,
byteorder: None = ...,
) -> _RecArray[record]: ...
@overload
def fromstring(
datastring: _SupportsBuffer,
dtype: None = ...,
shape: None | _ShapeLike = ...,
offset: int = ...,
*,
formats: DTypeLike,
names: None | str | Sequence[str] = ...,
titles: None | str | Sequence[str] = ...,
aligned: bool = ...,
byteorder: None | _ByteOrder = ...,
) -> _RecArray[record]: ...
@overload
def fromfile(
fd: str | bytes | os.PathLike[str] | os.PathLike[bytes] | _SupportsReadInto,
dtype: DTypeLike,
shape: None | _ShapeLike = ...,
offset: int = ...,
formats: None = ...,
names: None = ...,
titles: None = ...,
aligned: bool = ...,
byteorder: None = ...,
) -> _RecArray[Any]: ...
@overload
def fromfile(
fd: str | bytes | os.PathLike[str] | os.PathLike[bytes] | _SupportsReadInto,
dtype: None = ...,
shape: None | _ShapeLike = ...,
offset: int = ...,
*,
formats: DTypeLike,
names: None | str | Sequence[str] = ...,
titles: None | str | Sequence[str] = ...,
aligned: bool = ...,
byteorder: None | _ByteOrder = ...,
) -> _RecArray[record]: ...
@overload
def array(
obj: _SCT | NDArray[_SCT],
dtype: None = ...,
shape: None | _ShapeLike = ...,
offset: int = ...,
formats: None = ...,
names: None = ...,
titles: None = ...,
aligned: bool = ...,
byteorder: None = ...,
copy: bool = ...,
) -> _RecArray[_SCT]: ...
@overload
def array(
obj: ArrayLike,
dtype: DTypeLike,
shape: None | _ShapeLike = ...,
offset: int = ...,
formats: None = ...,
names: None = ...,
titles: None = ...,
aligned: bool = ...,
byteorder: None = ...,
copy: bool = ...,
) -> _RecArray[Any]: ...
@overload
def array(
obj: ArrayLike,
dtype: None = ...,
shape: None | _ShapeLike = ...,
offset: int = ...,
*,
formats: DTypeLike,
names: None | str | Sequence[str] = ...,
titles: None | str | Sequence[str] = ...,
aligned: bool = ...,
byteorder: None | _ByteOrder = ...,
copy: bool = ...,
) -> _RecArray[record]: ...
@overload
def array(
obj: None,
dtype: DTypeLike,
shape: _ShapeLike,
offset: int = ...,
formats: None = ...,
names: None = ...,
titles: None = ...,
aligned: bool = ...,
byteorder: None = ...,
copy: bool = ...,
) -> _RecArray[Any]: ...
@overload
def array(
obj: None,
dtype: None = ...,
*,
shape: _ShapeLike,
offset: int = ...,
formats: DTypeLike,
names: None | str | Sequence[str] = ...,
titles: None | str | Sequence[str] = ...,
aligned: bool = ...,
byteorder: None | _ByteOrder = ...,
copy: bool = ...,
) -> _RecArray[record]: ...
@overload
def array(
obj: _SupportsReadInto,
dtype: DTypeLike,
shape: None | _ShapeLike = ...,
offset: int = ...,
formats: None = ...,
names: None = ...,
titles: None = ...,
aligned: bool = ...,
byteorder: None = ...,
copy: bool = ...,
) -> _RecArray[Any]: ...
@overload
def array(
obj: _SupportsReadInto,
dtype: None = ...,
shape: None | _ShapeLike = ...,
offset: int = ...,
*,
formats: DTypeLike,
names: None | str | Sequence[str] = ...,
titles: None | str | Sequence[str] = ...,
aligned: bool = ...,
byteorder: None | _ByteOrder = ...,
copy: bool = ...,
) -> _RecArray[record]: ...
| 5,692 | unknown | 23.225532 | 84 | 0.531448 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/setup_common.py | # Code common to build tools
import copy
import pathlib
import sys
import textwrap
import warnings
from numpy.distutils.misc_util import mingw32
#-------------------
# Versioning support
#-------------------
# How to change C_API_VERSION ?
# - increase C_API_VERSION value
# - record the hash for the new C API with the cversions.py script
# and add the hash to cversions.txt
# The hash values are used to remind developers when the C API number was not
# updated - generates a MismatchCAPIWarning warning which is turned into an
# exception for released version.
# Binary compatibility version number. This number is increased whenever the
# C-API is changed such that binary compatibility is broken, i.e. whenever a
# recompile of extension modules is needed.
C_ABI_VERSION = 0x01000009
# Minor API version. This number is increased whenever a change is made to the
# C-API -- whether it breaks binary compatibility or not. Some changes, such
# as adding a function pointer to the end of the function table, can be made
# without breaking binary compatibility. In this case, only the C_API_VERSION
# (*not* C_ABI_VERSION) would be increased. Whenever binary compatibility is
# broken, both C_API_VERSION and C_ABI_VERSION should be increased.
#
# 0x00000008 - 1.7.x
# 0x00000009 - 1.8.x
# 0x00000009 - 1.9.x
# 0x0000000a - 1.10.x
# 0x0000000a - 1.11.x
# 0x0000000a - 1.12.x
# 0x0000000b - 1.13.x
# 0x0000000c - 1.14.x
# 0x0000000c - 1.15.x
# 0x0000000d - 1.16.x
# 0x0000000d - 1.19.x
# 0x0000000e - 1.20.x
# 0x0000000e - 1.21.x
# 0x0000000f - 1.22.x
# 0x00000010 - 1.23.x
C_API_VERSION = 0x00000010
class MismatchCAPIWarning(Warning):
pass
def get_api_versions(apiversion, codegen_dir):
"""
Return current C API checksum and the recorded checksum.
Return current C API checksum and the recorded checksum for the given
version of the C API version.
"""
# Compute the hash of the current API as defined in the .txt files in
# code_generators
sys.path.insert(0, codegen_dir)
try:
m = __import__('genapi')
numpy_api = __import__('numpy_api')
curapi_hash = m.fullapi_hash(numpy_api.full_api)
apis_hash = m.get_versions_hash()
finally:
del sys.path[0]
return curapi_hash, apis_hash[apiversion]
def check_api_version(apiversion, codegen_dir):
"""Emits a MismatchCAPIWarning if the C API version needs updating."""
curapi_hash, api_hash = get_api_versions(apiversion, codegen_dir)
# If different hash, it means that the api .txt files in
# codegen_dir have been updated without the API version being
# updated. Any modification in those .txt files should be reflected
# in the api and eventually abi versions.
# To compute the checksum of the current API, use numpy/core/cversions.py
if not curapi_hash == api_hash:
msg = ("API mismatch detected, the C API version "
"numbers have to be updated. Current C api version is %d, "
"with checksum %s, but recorded checksum for C API version %d "
"in core/codegen_dir/cversions.txt is %s. If functions were "
"added in the C API, you have to update C_API_VERSION in %s."
)
warnings.warn(msg % (apiversion, curapi_hash, apiversion, api_hash,
__file__),
MismatchCAPIWarning, stacklevel=2)
FUNC_CALL_ARGS = {}
def set_sig(sig):
prefix, _, args = sig.partition("(")
args = args.rpartition(")")[0]
funcname = prefix.rpartition(" ")[-1]
args = [arg.strip() for arg in args.split(",")]
FUNC_CALL_ARGS[funcname] = ", ".join("(%s) 0" % arg for arg in args)
for file in [
"feature_detection_locale.h",
"feature_detection_math.h",
"feature_detection_misc.h",
"feature_detection_stdio.h",
]:
with open(pathlib.Path(__file__).parent / file) as f:
for line in f:
if line.startswith("#"):
continue
if not line.strip():
continue
set_sig(line)
# Mandatory functions: if not found, fail the build
MANDATORY_FUNCS = ["sin", "cos", "tan", "sinh", "cosh", "tanh", "fabs",
"floor", "ceil", "sqrt", "log10", "log", "exp", "asin",
"acos", "atan", "fmod", 'modf', 'frexp', 'ldexp']
# Standard functions which may not be available and for which we have a
# replacement implementation. Note that some of these are C99 functions.
OPTIONAL_STDFUNCS = ["expm1", "log1p", "acosh", "asinh", "atanh",
"rint", "trunc", "exp2", "log2", "hypot", "atan2", "pow",
"copysign", "nextafter", "strtoll", "strtoull", "cbrt"]
OPTIONAL_LOCALE_FUNCS = ["strtold_l"]
OPTIONAL_FILE_FUNCS = ["ftello", "fseeko", "fallocate"]
OPTIONAL_MISC_FUNCS = ["backtrace", "madvise"]
OPTIONAL_HEADERS = [
# sse headers only enabled automatically on amd64/x32 builds
"xmmintrin.h", # SSE
"emmintrin.h", # SSE2
"immintrin.h", # AVX
"features.h", # for glibc version linux
"xlocale.h", # see GH#8367
"dlfcn.h", # dladdr
"execinfo.h", # backtrace
"libunwind.h", # backtrace for LLVM/Clang using libunwind
"sys/mman.h", #madvise
]
# optional gcc compiler builtins and their call arguments and optional a
# required header and definition name (HAVE_ prepended)
# call arguments are required as the compiler will do strict signature checking
OPTIONAL_INTRINSICS = [("__builtin_isnan", '5.'),
("__builtin_isinf", '5.'),
("__builtin_isfinite", '5.'),
("__builtin_bswap32", '5u'),
("__builtin_bswap64", '5u'),
("__builtin_expect", '5, 0'),
("__builtin_mul_overflow", '5, 5, (int*)5'),
# MMX only needed for icc, but some clangs don't have it
("_m_from_int64", '0', "emmintrin.h"),
("_mm_load_ps", '(float*)0', "xmmintrin.h"), # SSE
("_mm_prefetch", '(float*)0, _MM_HINT_NTA',
"xmmintrin.h"), # SSE
("_mm_load_pd", '(double*)0', "emmintrin.h"), # SSE2
("__builtin_prefetch", "(float*)0, 0, 3"),
# check that the linker can handle avx
("__asm__ volatile", '"vpand %xmm1, %xmm2, %xmm3"',
"stdio.h", "LINK_AVX"),
("__asm__ volatile", '"vpand %ymm1, %ymm2, %ymm3"',
"stdio.h", "LINK_AVX2"),
("__asm__ volatile", '"vpaddd %zmm1, %zmm2, %zmm3"',
"stdio.h", "LINK_AVX512F"),
("__asm__ volatile", '"vfpclasspd $0x40, %zmm15, %k6\\n"\
"vmovdqu8 %xmm0, %xmm1\\n"\
"vpbroadcastmb2q %k0, %xmm0\\n"',
"stdio.h", "LINK_AVX512_SKX"),
("__asm__ volatile", '"xgetbv"', "stdio.h", "XGETBV"),
]
# function attributes
# tested via "int %s %s(void *);" % (attribute, name)
# function name will be converted to HAVE_<upper-case-name> preprocessor macro
OPTIONAL_FUNCTION_ATTRIBUTES = [('__attribute__((optimize("unroll-loops")))',
'attribute_optimize_unroll_loops'),
('__attribute__((optimize("O3")))',
'attribute_optimize_opt_3'),
('__attribute__((optimize("O2")))',
'attribute_optimize_opt_2'),
('__attribute__((nonnull (1)))',
'attribute_nonnull'),
('__attribute__((target ("avx")))',
'attribute_target_avx'),
('__attribute__((target ("avx2")))',
'attribute_target_avx2'),
('__attribute__((target ("avx512f")))',
'attribute_target_avx512f'),
('__attribute__((target ("avx512f,avx512dq,avx512bw,avx512vl,avx512cd")))',
'attribute_target_avx512_skx'),
]
# function attributes with intrinsics
# To ensure your compiler can compile avx intrinsics with just the attributes
# gcc 4.8.4 support attributes but not with intrisics
# tested via "#include<%s> int %s %s(void *){code; return 0;};" % (header, attribute, name, code)
# function name will be converted to HAVE_<upper-case-name> preprocessor macro
# The _mm512_castps_si512 instruction is specific check for AVX-512F support
# in gcc-4.9 which is missing a subset of intrinsics. See
# https://gcc.gnu.org/bugzilla/show_bug.cgi?id=61878
OPTIONAL_FUNCTION_ATTRIBUTES_WITH_INTRINSICS = [('__attribute__((target("avx2,fma")))',
'attribute_target_avx2_with_intrinsics',
'__m256 temp = _mm256_set1_ps(1.0); temp = \
_mm256_fmadd_ps(temp, temp, temp)',
'immintrin.h'),
('__attribute__((target("avx512f")))',
'attribute_target_avx512f_with_intrinsics',
'__m512i temp = _mm512_castps_si512(_mm512_set1_ps(1.0))',
'immintrin.h'),
('__attribute__((target ("avx512f,avx512dq,avx512bw,avx512vl,avx512cd")))',
'attribute_target_avx512_skx_with_intrinsics',
'__mmask8 temp = _mm512_fpclass_pd_mask(_mm512_set1_pd(1.0), 0x01);\
__m512i unused_temp = \
_mm512_castps_si512(_mm512_set1_ps(1.0));\
_mm_mask_storeu_epi8(NULL, 0xFF, _mm_broadcastmb_epi64(temp))',
'immintrin.h'),
]
# variable attributes tested via "int %s a" % attribute
OPTIONAL_VARIABLE_ATTRIBUTES = ["__thread", "__declspec(thread)"]
# Subset of OPTIONAL_STDFUNCS which may already have HAVE_* defined by Python.h
OPTIONAL_STDFUNCS_MAYBE = [
"expm1", "log1p", "acosh", "atanh", "asinh", "hypot", "copysign",
"ftello", "fseeko"
]
# C99 functions: float and long double versions
C99_FUNCS = [
"sin", "cos", "tan", "sinh", "cosh", "tanh", "fabs", "floor", "ceil",
"rint", "trunc", "sqrt", "log10", "log", "log1p", "exp", "expm1",
"asin", "acos", "atan", "asinh", "acosh", "atanh", "hypot", "atan2",
"pow", "fmod", "modf", 'frexp', 'ldexp', "exp2", "log2", "copysign",
"nextafter", "cbrt"
]
C99_FUNCS_SINGLE = [f + 'f' for f in C99_FUNCS]
C99_FUNCS_EXTENDED = [f + 'l' for f in C99_FUNCS]
C99_COMPLEX_TYPES = [
'complex double', 'complex float', 'complex long double'
]
C99_COMPLEX_FUNCS = [
"cabs", "cacos", "cacosh", "carg", "casin", "casinh", "catan",
"catanh", "ccos", "ccosh", "cexp", "cimag", "clog", "conj", "cpow",
"cproj", "creal", "csin", "csinh", "csqrt", "ctan", "ctanh"
]
def fname2def(name):
return "HAVE_%s" % name.upper()
def sym2def(symbol):
define = symbol.replace(' ', '')
return define.upper()
def type2def(symbol):
define = symbol.replace(' ', '_')
return define.upper()
# Code to detect long double representation taken from MPFR m4 macro
def check_long_double_representation(cmd):
cmd._check_compiler()
body = LONG_DOUBLE_REPRESENTATION_SRC % {'type': 'long double'}
# Disable whole program optimization (the default on vs2015, with python 3.5+)
# which generates intermediary object files and prevents checking the
# float representation.
if sys.platform == "win32" and not mingw32():
try:
cmd.compiler.compile_options.remove("/GL")
except (AttributeError, ValueError):
pass
# Disable multi-file interprocedural optimization in the Intel compiler on Linux
# which generates intermediary object files and prevents checking the
# float representation.
elif (sys.platform != "win32"
and cmd.compiler.compiler_type.startswith('intel')
and '-ipo' in cmd.compiler.cc_exe):
newcompiler = cmd.compiler.cc_exe.replace(' -ipo', '')
cmd.compiler.set_executables(
compiler=newcompiler,
compiler_so=newcompiler,
compiler_cxx=newcompiler,
linker_exe=newcompiler,
linker_so=newcompiler + ' -shared'
)
# We need to use _compile because we need the object filename
src, obj = cmd._compile(body, None, None, 'c')
try:
ltype = long_double_representation(pyod(obj))
return ltype
except ValueError:
# try linking to support CC="gcc -flto" or icc -ipo
# struct needs to be volatile so it isn't optimized away
# additionally "clang -flto" requires the foo struct to be used
body = body.replace('struct', 'volatile struct')
body += "int main(void) { return foo.before[0]; }\n"
src, obj = cmd._compile(body, None, None, 'c')
cmd.temp_files.append("_configtest")
cmd.compiler.link_executable([obj], "_configtest")
ltype = long_double_representation(pyod("_configtest"))
return ltype
finally:
cmd._clean()
LONG_DOUBLE_REPRESENTATION_SRC = r"""
/* "before" is 16 bytes to ensure there's no padding between it and "x".
* We're not expecting any "long double" bigger than 16 bytes or with
* alignment requirements stricter than 16 bytes. */
typedef %(type)s test_type;
struct {
char before[16];
test_type x;
char after[8];
} foo = {
{ '\0', '\0', '\0', '\0', '\0', '\0', '\0', '\0',
'\001', '\043', '\105', '\147', '\211', '\253', '\315', '\357' },
-123456789.0,
{ '\376', '\334', '\272', '\230', '\166', '\124', '\062', '\020' }
};
"""
def pyod(filename):
"""Python implementation of the od UNIX utility (od -b, more exactly).
Parameters
----------
filename : str
name of the file to get the dump from.
Returns
-------
out : seq
list of lines of od output
Notes
-----
We only implement enough to get the necessary information for long double
representation, this is not intended as a compatible replacement for od.
"""
out = []
with open(filename, 'rb') as fid:
yo2 = [oct(o)[2:] for o in fid.read()]
for i in range(0, len(yo2), 16):
line = ['%07d' % int(oct(i)[2:])]
line.extend(['%03d' % int(c) for c in yo2[i:i+16]])
out.append(" ".join(line))
return out
_BEFORE_SEQ = ['000', '000', '000', '000', '000', '000', '000', '000',
'001', '043', '105', '147', '211', '253', '315', '357']
_AFTER_SEQ = ['376', '334', '272', '230', '166', '124', '062', '020']
_IEEE_DOUBLE_BE = ['301', '235', '157', '064', '124', '000', '000', '000']
_IEEE_DOUBLE_LE = _IEEE_DOUBLE_BE[::-1]
_INTEL_EXTENDED_12B = ['000', '000', '000', '000', '240', '242', '171', '353',
'031', '300', '000', '000']
_INTEL_EXTENDED_16B = ['000', '000', '000', '000', '240', '242', '171', '353',
'031', '300', '000', '000', '000', '000', '000', '000']
_MOTOROLA_EXTENDED_12B = ['300', '031', '000', '000', '353', '171',
'242', '240', '000', '000', '000', '000']
_IEEE_QUAD_PREC_BE = ['300', '031', '326', '363', '105', '100', '000', '000',
'000', '000', '000', '000', '000', '000', '000', '000']
_IEEE_QUAD_PREC_LE = _IEEE_QUAD_PREC_BE[::-1]
_IBM_DOUBLE_DOUBLE_BE = (['301', '235', '157', '064', '124', '000', '000', '000'] +
['000'] * 8)
_IBM_DOUBLE_DOUBLE_LE = (['000', '000', '000', '124', '064', '157', '235', '301'] +
['000'] * 8)
def long_double_representation(lines):
"""Given a binary dump as given by GNU od -b, look for long double
representation."""
# Read contains a list of 32 items, each item is a byte (in octal
# representation, as a string). We 'slide' over the output until read is of
# the form before_seq + content + after_sequence, where content is the long double
# representation:
# - content is 12 bytes: 80 bits Intel representation
# - content is 16 bytes: 80 bits Intel representation (64 bits) or quad precision
# - content is 8 bytes: same as double (not implemented yet)
read = [''] * 32
saw = None
for line in lines:
# we skip the first word, as od -b output an index at the beginning of
# each line
for w in line.split()[1:]:
read.pop(0)
read.append(w)
# If the end of read is equal to the after_sequence, read contains
# the long double
if read[-8:] == _AFTER_SEQ:
saw = copy.copy(read)
# if the content was 12 bytes, we only have 32 - 8 - 12 = 12
# "before" bytes. In other words the first 4 "before" bytes went
# past the sliding window.
if read[:12] == _BEFORE_SEQ[4:]:
if read[12:-8] == _INTEL_EXTENDED_12B:
return 'INTEL_EXTENDED_12_BYTES_LE'
if read[12:-8] == _MOTOROLA_EXTENDED_12B:
return 'MOTOROLA_EXTENDED_12_BYTES_BE'
# if the content was 16 bytes, we are left with 32-8-16 = 16
# "before" bytes, so 8 went past the sliding window.
elif read[:8] == _BEFORE_SEQ[8:]:
if read[8:-8] == _INTEL_EXTENDED_16B:
return 'INTEL_EXTENDED_16_BYTES_LE'
elif read[8:-8] == _IEEE_QUAD_PREC_BE:
return 'IEEE_QUAD_BE'
elif read[8:-8] == _IEEE_QUAD_PREC_LE:
return 'IEEE_QUAD_LE'
elif read[8:-8] == _IBM_DOUBLE_DOUBLE_LE:
return 'IBM_DOUBLE_DOUBLE_LE'
elif read[8:-8] == _IBM_DOUBLE_DOUBLE_BE:
return 'IBM_DOUBLE_DOUBLE_BE'
# if the content was 8 bytes, left with 32-8-8 = 16 bytes
elif read[:16] == _BEFORE_SEQ:
if read[16:-8] == _IEEE_DOUBLE_LE:
return 'IEEE_DOUBLE_LE'
elif read[16:-8] == _IEEE_DOUBLE_BE:
return 'IEEE_DOUBLE_BE'
if saw is not None:
raise ValueError("Unrecognized format (%s)" % saw)
else:
# We never detected the after_sequence
raise ValueError("Could not lock sequences (%s)" % saw)
def check_for_right_shift_internal_compiler_error(cmd):
"""
On our arm CI, this fails with an internal compilation error
The failure looks like the following, and can be reproduced on ARM64 GCC 5.4:
<source>: In function 'right_shift':
<source>:4:20: internal compiler error: in expand_shift_1, at expmed.c:2349
ip1[i] = ip1[i] >> in2;
^
Please submit a full bug report,
with preprocessed source if appropriate.
See <http://gcc.gnu.org/bugs.html> for instructions.
Compiler returned: 1
This function returns True if this compiler bug is present, and we need to
turn off optimization for the function
"""
cmd._check_compiler()
has_optimize = cmd.try_compile(textwrap.dedent("""\
__attribute__((optimize("O3"))) void right_shift() {}
"""), None, None)
if not has_optimize:
return False
no_err = cmd.try_compile(textwrap.dedent("""\
typedef long the_type; /* fails also for unsigned and long long */
__attribute__((optimize("O3"))) void right_shift(the_type in2, the_type *ip1, int n) {
for (int i = 0; i < n; i++) {
if (in2 < (the_type)sizeof(the_type) * 8) {
ip1[i] = ip1[i] >> in2;
}
}
}
"""), None, None)
return not no_err
| 20,393 | Python | 41.844538 | 107 | 0.544402 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/generate_numpy_api.py | import os
import genapi
from genapi import \
TypeApi, GlobalVarApi, FunctionApi, BoolValuesApi
import numpy_api
# use annotated api when running under cpychecker
h_template = r"""
#if defined(_MULTIARRAYMODULE) || defined(WITH_CPYCHECKER_STEALS_REFERENCE_TO_ARG_ATTRIBUTE)
typedef struct {
PyObject_HEAD
npy_bool obval;
} PyBoolScalarObject;
extern NPY_NO_EXPORT PyTypeObject PyArrayMapIter_Type;
extern NPY_NO_EXPORT PyTypeObject PyArrayNeighborhoodIter_Type;
extern NPY_NO_EXPORT PyBoolScalarObject _PyArrayScalar_BoolValues[2];
%s
#else
#if defined(PY_ARRAY_UNIQUE_SYMBOL)
#define PyArray_API PY_ARRAY_UNIQUE_SYMBOL
#endif
#if defined(NO_IMPORT) || defined(NO_IMPORT_ARRAY)
extern void **PyArray_API;
#else
#if defined(PY_ARRAY_UNIQUE_SYMBOL)
void **PyArray_API;
#else
static void **PyArray_API=NULL;
#endif
#endif
%s
#if !defined(NO_IMPORT_ARRAY) && !defined(NO_IMPORT)
static int
_import_array(void)
{
int st;
PyObject *numpy = PyImport_ImportModule("numpy.core._multiarray_umath");
PyObject *c_api = NULL;
if (numpy == NULL) {
return -1;
}
c_api = PyObject_GetAttrString(numpy, "_ARRAY_API");
Py_DECREF(numpy);
if (c_api == NULL) {
PyErr_SetString(PyExc_AttributeError, "_ARRAY_API not found");
return -1;
}
if (!PyCapsule_CheckExact(c_api)) {
PyErr_SetString(PyExc_RuntimeError, "_ARRAY_API is not PyCapsule object");
Py_DECREF(c_api);
return -1;
}
PyArray_API = (void **)PyCapsule_GetPointer(c_api, NULL);
Py_DECREF(c_api);
if (PyArray_API == NULL) {
PyErr_SetString(PyExc_RuntimeError, "_ARRAY_API is NULL pointer");
return -1;
}
/* Perform runtime check of C API version */
if (NPY_VERSION != PyArray_GetNDArrayCVersion()) {
PyErr_Format(PyExc_RuntimeError, "module compiled against "\
"ABI version 0x%%x but this version of numpy is 0x%%x", \
(int) NPY_VERSION, (int) PyArray_GetNDArrayCVersion());
return -1;
}
if (NPY_FEATURE_VERSION > PyArray_GetNDArrayCFeatureVersion()) {
PyErr_Format(PyExc_RuntimeError, "module compiled against "\
"API version 0x%%x but this version of numpy is 0x%%x", \
(int) NPY_FEATURE_VERSION, (int) PyArray_GetNDArrayCFeatureVersion());
return -1;
}
/*
* Perform runtime check of endianness and check it matches the one set by
* the headers (npy_endian.h) as a safeguard
*/
st = PyArray_GetEndianness();
if (st == NPY_CPU_UNKNOWN_ENDIAN) {
PyErr_Format(PyExc_RuntimeError, "FATAL: module compiled as unknown endian");
return -1;
}
#if NPY_BYTE_ORDER == NPY_BIG_ENDIAN
if (st != NPY_CPU_BIG) {
PyErr_Format(PyExc_RuntimeError, "FATAL: module compiled as "\
"big endian, but detected different endianness at runtime");
return -1;
}
#elif NPY_BYTE_ORDER == NPY_LITTLE_ENDIAN
if (st != NPY_CPU_LITTLE) {
PyErr_Format(PyExc_RuntimeError, "FATAL: module compiled as "\
"little endian, but detected different endianness at runtime");
return -1;
}
#endif
return 0;
}
#define import_array() {if (_import_array() < 0) {PyErr_Print(); PyErr_SetString(PyExc_ImportError, "numpy.core.multiarray failed to import"); return NULL; } }
#define import_array1(ret) {if (_import_array() < 0) {PyErr_Print(); PyErr_SetString(PyExc_ImportError, "numpy.core.multiarray failed to import"); return ret; } }
#define import_array2(msg, ret) {if (_import_array() < 0) {PyErr_Print(); PyErr_SetString(PyExc_ImportError, msg); return ret; } }
#endif
#endif
"""
c_template = r"""
/* These pointers will be stored in the C-object for use in other
extension modules
*/
void *PyArray_API[] = {
%s
};
"""
c_api_header = """
===========
NumPy C-API
===========
"""
def generate_api(output_dir, force=False):
basename = 'multiarray_api'
h_file = os.path.join(output_dir, '__%s.h' % basename)
c_file = os.path.join(output_dir, '__%s.c' % basename)
d_file = os.path.join(output_dir, '%s.txt' % basename)
targets = (h_file, c_file, d_file)
sources = numpy_api.multiarray_api
if (not force and not genapi.should_rebuild(targets, [numpy_api.__file__, __file__])):
return targets
else:
do_generate_api(targets, sources)
return targets
def do_generate_api(targets, sources):
header_file = targets[0]
c_file = targets[1]
doc_file = targets[2]
global_vars = sources[0]
scalar_bool_values = sources[1]
types_api = sources[2]
multiarray_funcs = sources[3]
multiarray_api = sources[:]
module_list = []
extension_list = []
init_list = []
# Check multiarray api indexes
multiarray_api_index = genapi.merge_api_dicts(multiarray_api)
genapi.check_api_dict(multiarray_api_index)
numpyapi_list = genapi.get_api_functions('NUMPY_API',
multiarray_funcs)
# Create dict name -> *Api instance
api_name = 'PyArray_API'
multiarray_api_dict = {}
for f in numpyapi_list:
name = f.name
index = multiarray_funcs[name][0]
annotations = multiarray_funcs[name][1:]
multiarray_api_dict[f.name] = FunctionApi(f.name, index, annotations,
f.return_type,
f.args, api_name)
for name, val in global_vars.items():
index, type = val
multiarray_api_dict[name] = GlobalVarApi(name, index, type, api_name)
for name, val in scalar_bool_values.items():
index = val[0]
multiarray_api_dict[name] = BoolValuesApi(name, index, api_name)
for name, val in types_api.items():
index = val[0]
internal_type = None if len(val) == 1 else val[1]
multiarray_api_dict[name] = TypeApi(
name, index, 'PyTypeObject', api_name, internal_type)
if len(multiarray_api_dict) != len(multiarray_api_index):
keys_dict = set(multiarray_api_dict.keys())
keys_index = set(multiarray_api_index.keys())
raise AssertionError(
"Multiarray API size mismatch - "
"index has extra keys {}, dict has extra keys {}"
.format(keys_index - keys_dict, keys_dict - keys_index)
)
extension_list = []
for name, index in genapi.order_dict(multiarray_api_index):
api_item = multiarray_api_dict[name]
extension_list.append(api_item.define_from_array_api_string())
init_list.append(api_item.array_api_define())
module_list.append(api_item.internal_define())
# Write to header
s = h_template % ('\n'.join(module_list), '\n'.join(extension_list))
genapi.write_file(header_file, s)
# Write to c-code
s = c_template % ',\n'.join(init_list)
genapi.write_file(c_file, s)
# write to documentation
s = c_api_header
for func in numpyapi_list:
s += func.to_ReST()
s += '\n\n'
genapi.write_file(doc_file, s)
return targets
| 7,007 | Python | 28.56962 | 162 | 0.632082 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/records.py | """
Record Arrays
=============
Record arrays expose the fields of structured arrays as properties.
Most commonly, ndarrays contain elements of a single type, e.g. floats,
integers, bools etc. However, it is possible for elements to be combinations
of these using structured types, such as::
>>> a = np.array([(1, 2.0), (1, 2.0)], dtype=[('x', np.int64), ('y', np.float64)])
>>> a
array([(1, 2.), (1, 2.)], dtype=[('x', '<i8'), ('y', '<f8')])
Here, each element consists of two fields: x (and int), and y (a float).
This is known as a structured array. The different fields are analogous
to columns in a spread-sheet. The different fields can be accessed as
one would a dictionary::
>>> a['x']
array([1, 1])
>>> a['y']
array([2., 2.])
Record arrays allow us to access fields as properties::
>>> ar = np.rec.array(a)
>>> ar.x
array([1, 1])
>>> ar.y
array([2., 2.])
"""
import warnings
from collections import Counter
from contextlib import nullcontext
from . import numeric as sb
from . import numerictypes as nt
from numpy.compat import os_fspath
from numpy.core.overrides import set_module
from .arrayprint import _get_legacy_print_mode
# All of the functions allow formats to be a dtype
__all__ = [
'record', 'recarray', 'format_parser',
'fromarrays', 'fromrecords', 'fromstring', 'fromfile', 'array',
]
ndarray = sb.ndarray
_byteorderconv = {'b':'>',
'l':'<',
'n':'=',
'B':'>',
'L':'<',
'N':'=',
'S':'s',
's':'s',
'>':'>',
'<':'<',
'=':'=',
'|':'|',
'I':'|',
'i':'|'}
# formats regular expression
# allows multidimensional spec with a tuple syntax in front
# of the letter code '(2,3)f4' and ' ( 2 , 3 ) f4 '
# are equally allowed
numfmt = nt.sctypeDict
def find_duplicate(list):
"""Find duplication in a list, return a list of duplicated elements"""
return [
item
for item, counts in Counter(list).items()
if counts > 1
]
@set_module('numpy')
class format_parser:
"""
Class to convert formats, names, titles description to a dtype.
After constructing the format_parser object, the dtype attribute is
the converted data-type:
``dtype = format_parser(formats, names, titles).dtype``
Attributes
----------
dtype : dtype
The converted data-type.
Parameters
----------
formats : str or list of str
The format description, either specified as a string with
comma-separated format descriptions in the form ``'f8, i4, a5'``, or
a list of format description strings in the form
``['f8', 'i4', 'a5']``.
names : str or list/tuple of str
The field names, either specified as a comma-separated string in the
form ``'col1, col2, col3'``, or as a list or tuple of strings in the
form ``['col1', 'col2', 'col3']``.
An empty list can be used, in that case default field names
('f0', 'f1', ...) are used.
titles : sequence
Sequence of title strings. An empty list can be used to leave titles
out.
aligned : bool, optional
If True, align the fields by padding as the C-compiler would.
Default is False.
byteorder : str, optional
If specified, all the fields will be changed to the
provided byte-order. Otherwise, the default byte-order is
used. For all available string specifiers, see `dtype.newbyteorder`.
See Also
--------
dtype, typename, sctype2char
Examples
--------
>>> np.format_parser(['<f8', '<i4', '<a5'], ['col1', 'col2', 'col3'],
... ['T1', 'T2', 'T3']).dtype
dtype([(('T1', 'col1'), '<f8'), (('T2', 'col2'), '<i4'), (('T3', 'col3'), 'S5')])
`names` and/or `titles` can be empty lists. If `titles` is an empty list,
titles will simply not appear. If `names` is empty, default field names
will be used.
>>> np.format_parser(['f8', 'i4', 'a5'], ['col1', 'col2', 'col3'],
... []).dtype
dtype([('col1', '<f8'), ('col2', '<i4'), ('col3', '<S5')])
>>> np.format_parser(['<f8', '<i4', '<a5'], [], []).dtype
dtype([('f0', '<f8'), ('f1', '<i4'), ('f2', 'S5')])
"""
def __init__(self, formats, names, titles, aligned=False, byteorder=None):
self._parseFormats(formats, aligned)
self._setfieldnames(names, titles)
self._createdtype(byteorder)
def _parseFormats(self, formats, aligned=False):
""" Parse the field formats """
if formats is None:
raise ValueError("Need formats argument")
if isinstance(formats, list):
dtype = sb.dtype(
[('f{}'.format(i), format_) for i, format_ in enumerate(formats)],
aligned,
)
else:
dtype = sb.dtype(formats, aligned)
fields = dtype.fields
if fields is None:
dtype = sb.dtype([('f1', dtype)], aligned)
fields = dtype.fields
keys = dtype.names
self._f_formats = [fields[key][0] for key in keys]
self._offsets = [fields[key][1] for key in keys]
self._nfields = len(keys)
def _setfieldnames(self, names, titles):
"""convert input field names into a list and assign to the _names
attribute """
if names:
if type(names) in [list, tuple]:
pass
elif isinstance(names, str):
names = names.split(',')
else:
raise NameError("illegal input names %s" % repr(names))
self._names = [n.strip() for n in names[:self._nfields]]
else:
self._names = []
# if the names are not specified, they will be assigned as
# "f0, f1, f2,..."
# if not enough names are specified, they will be assigned as "f[n],
# f[n+1],..." etc. where n is the number of specified names..."
self._names += ['f%d' % i for i in range(len(self._names),
self._nfields)]
# check for redundant names
_dup = find_duplicate(self._names)
if _dup:
raise ValueError("Duplicate field names: %s" % _dup)
if titles:
self._titles = [n.strip() for n in titles[:self._nfields]]
else:
self._titles = []
titles = []
if self._nfields > len(titles):
self._titles += [None] * (self._nfields - len(titles))
def _createdtype(self, byteorder):
dtype = sb.dtype({
'names': self._names,
'formats': self._f_formats,
'offsets': self._offsets,
'titles': self._titles,
})
if byteorder is not None:
byteorder = _byteorderconv[byteorder[0]]
dtype = dtype.newbyteorder(byteorder)
self.dtype = dtype
class record(nt.void):
"""A data-type scalar that allows field access as attribute lookup.
"""
# manually set name and module so that this class's type shows up
# as numpy.record when printed
__name__ = 'record'
__module__ = 'numpy'
def __repr__(self):
if _get_legacy_print_mode() <= 113:
return self.__str__()
return super().__repr__()
def __str__(self):
if _get_legacy_print_mode() <= 113:
return str(self.item())
return super().__str__()
def __getattribute__(self, attr):
if attr in ('setfield', 'getfield', 'dtype'):
return nt.void.__getattribute__(self, attr)
try:
return nt.void.__getattribute__(self, attr)
except AttributeError:
pass
fielddict = nt.void.__getattribute__(self, 'dtype').fields
res = fielddict.get(attr, None)
if res:
obj = self.getfield(*res[:2])
# if it has fields return a record,
# otherwise return the object
try:
dt = obj.dtype
except AttributeError:
#happens if field is Object type
return obj
if dt.names is not None:
return obj.view((self.__class__, obj.dtype))
return obj
else:
raise AttributeError("'record' object has no "
"attribute '%s'" % attr)
def __setattr__(self, attr, val):
if attr in ('setfield', 'getfield', 'dtype'):
raise AttributeError("Cannot set '%s' attribute" % attr)
fielddict = nt.void.__getattribute__(self, 'dtype').fields
res = fielddict.get(attr, None)
if res:
return self.setfield(val, *res[:2])
else:
if getattr(self, attr, None):
return nt.void.__setattr__(self, attr, val)
else:
raise AttributeError("'record' object has no "
"attribute '%s'" % attr)
def __getitem__(self, indx):
obj = nt.void.__getitem__(self, indx)
# copy behavior of record.__getattribute__,
if isinstance(obj, nt.void) and obj.dtype.names is not None:
return obj.view((self.__class__, obj.dtype))
else:
# return a single element
return obj
def pprint(self):
"""Pretty-print all fields."""
# pretty-print all fields
names = self.dtype.names
maxlen = max(len(name) for name in names)
fmt = '%% %ds: %%s' % maxlen
rows = [fmt % (name, getattr(self, name)) for name in names]
return "\n".join(rows)
# The recarray is almost identical to a standard array (which supports
# named fields already) The biggest difference is that it can use
# attribute-lookup to find the fields and it is constructed using
# a record.
# If byteorder is given it forces a particular byteorder on all
# the fields (and any subfields)
class recarray(ndarray):
"""Construct an ndarray that allows field access using attributes.
Arrays may have a data-types containing fields, analogous
to columns in a spread sheet. An example is ``[(x, int), (y, float)]``,
where each entry in the array is a pair of ``(int, float)``. Normally,
these attributes are accessed using dictionary lookups such as ``arr['x']``
and ``arr['y']``. Record arrays allow the fields to be accessed as members
of the array, using ``arr.x`` and ``arr.y``.
Parameters
----------
shape : tuple
Shape of output array.
dtype : data-type, optional
The desired data-type. By default, the data-type is determined
from `formats`, `names`, `titles`, `aligned` and `byteorder`.
formats : list of data-types, optional
A list containing the data-types for the different columns, e.g.
``['i4', 'f8', 'i4']``. `formats` does *not* support the new
convention of using types directly, i.e. ``(int, float, int)``.
Note that `formats` must be a list, not a tuple.
Given that `formats` is somewhat limited, we recommend specifying
`dtype` instead.
names : tuple of str, optional
The name of each column, e.g. ``('x', 'y', 'z')``.
buf : buffer, optional
By default, a new array is created of the given shape and data-type.
If `buf` is specified and is an object exposing the buffer interface,
the array will use the memory from the existing buffer. In this case,
the `offset` and `strides` keywords are available.
Other Parameters
----------------
titles : tuple of str, optional
Aliases for column names. For example, if `names` were
``('x', 'y', 'z')`` and `titles` is
``('x_coordinate', 'y_coordinate', 'z_coordinate')``, then
``arr['x']`` is equivalent to both ``arr.x`` and ``arr.x_coordinate``.
byteorder : {'<', '>', '='}, optional
Byte-order for all fields.
aligned : bool, optional
Align the fields in memory as the C-compiler would.
strides : tuple of ints, optional
Buffer (`buf`) is interpreted according to these strides (strides
define how many bytes each array element, row, column, etc.
occupy in memory).
offset : int, optional
Start reading buffer (`buf`) from this offset onwards.
order : {'C', 'F'}, optional
Row-major (C-style) or column-major (Fortran-style) order.
Returns
-------
rec : recarray
Empty array of the given shape and type.
See Also
--------
core.records.fromrecords : Construct a record array from data.
record : fundamental data-type for `recarray`.
format_parser : determine a data-type from formats, names, titles.
Notes
-----
This constructor can be compared to ``empty``: it creates a new record
array but does not fill it with data. To create a record array from data,
use one of the following methods:
1. Create a standard ndarray and convert it to a record array,
using ``arr.view(np.recarray)``
2. Use the `buf` keyword.
3. Use `np.rec.fromrecords`.
Examples
--------
Create an array with two fields, ``x`` and ``y``:
>>> x = np.array([(1.0, 2), (3.0, 4)], dtype=[('x', '<f8'), ('y', '<i8')])
>>> x
array([(1., 2), (3., 4)], dtype=[('x', '<f8'), ('y', '<i8')])
>>> x['x']
array([1., 3.])
View the array as a record array:
>>> x = x.view(np.recarray)
>>> x.x
array([1., 3.])
>>> x.y
array([2, 4])
Create a new, empty record array:
>>> np.recarray((2,),
... dtype=[('x', int), ('y', float), ('z', int)]) #doctest: +SKIP
rec.array([(-1073741821, 1.2249118382103472e-301, 24547520),
(3471280, 1.2134086255804012e-316, 0)],
dtype=[('x', '<i4'), ('y', '<f8'), ('z', '<i4')])
"""
# manually set name and module so that this class's type shows
# up as "numpy.recarray" when printed
__name__ = 'recarray'
__module__ = 'numpy'
def __new__(subtype, shape, dtype=None, buf=None, offset=0, strides=None,
formats=None, names=None, titles=None,
byteorder=None, aligned=False, order='C'):
if dtype is not None:
descr = sb.dtype(dtype)
else:
descr = format_parser(formats, names, titles, aligned, byteorder).dtype
if buf is None:
self = ndarray.__new__(subtype, shape, (record, descr), order=order)
else:
self = ndarray.__new__(subtype, shape, (record, descr),
buffer=buf, offset=offset,
strides=strides, order=order)
return self
def __array_finalize__(self, obj):
if self.dtype.type is not record and self.dtype.names is not None:
# if self.dtype is not np.record, invoke __setattr__ which will
# convert it to a record if it is a void dtype.
self.dtype = self.dtype
def __getattribute__(self, attr):
# See if ndarray has this attr, and return it if so. (note that this
# means a field with the same name as an ndarray attr cannot be
# accessed by attribute).
try:
return object.__getattribute__(self, attr)
except AttributeError: # attr must be a fieldname
pass
# look for a field with this name
fielddict = ndarray.__getattribute__(self, 'dtype').fields
try:
res = fielddict[attr][:2]
except (TypeError, KeyError) as e:
raise AttributeError("recarray has no attribute %s" % attr) from e
obj = self.getfield(*res)
# At this point obj will always be a recarray, since (see
# PyArray_GetField) the type of obj is inherited. Next, if obj.dtype is
# non-structured, convert it to an ndarray. Then if obj is structured
# with void type convert it to the same dtype.type (eg to preserve
# numpy.record type if present), since nested structured fields do not
# inherit type. Don't do this for non-void structures though.
if obj.dtype.names is not None:
if issubclass(obj.dtype.type, nt.void):
return obj.view(dtype=(self.dtype.type, obj.dtype))
return obj
else:
return obj.view(ndarray)
# Save the dictionary.
# If the attr is a field name and not in the saved dictionary
# Undo any "setting" of the attribute and do a setfield
# Thus, you can't create attributes on-the-fly that are field names.
def __setattr__(self, attr, val):
# Automatically convert (void) structured types to records
# (but not non-void structures, subarrays, or non-structured voids)
if attr == 'dtype' and issubclass(val.type, nt.void) and val.names is not None:
val = sb.dtype((record, val))
newattr = attr not in self.__dict__
try:
ret = object.__setattr__(self, attr, val)
except Exception:
fielddict = ndarray.__getattribute__(self, 'dtype').fields or {}
if attr not in fielddict:
raise
else:
fielddict = ndarray.__getattribute__(self, 'dtype').fields or {}
if attr not in fielddict:
return ret
if newattr:
# We just added this one or this setattr worked on an
# internal attribute.
try:
object.__delattr__(self, attr)
except Exception:
return ret
try:
res = fielddict[attr][:2]
except (TypeError, KeyError) as e:
raise AttributeError(
"record array has no attribute %s" % attr
) from e
return self.setfield(val, *res)
def __getitem__(self, indx):
obj = super().__getitem__(indx)
# copy behavior of getattr, except that here
# we might also be returning a single element
if isinstance(obj, ndarray):
if obj.dtype.names is not None:
obj = obj.view(type(self))
if issubclass(obj.dtype.type, nt.void):
return obj.view(dtype=(self.dtype.type, obj.dtype))
return obj
else:
return obj.view(type=ndarray)
else:
# return a single element
return obj
def __repr__(self):
repr_dtype = self.dtype
if self.dtype.type is record or not issubclass(self.dtype.type, nt.void):
# If this is a full record array (has numpy.record dtype),
# or if it has a scalar (non-void) dtype with no records,
# represent it using the rec.array function. Since rec.array
# converts dtype to a numpy.record for us, convert back
# to non-record before printing
if repr_dtype.type is record:
repr_dtype = sb.dtype((nt.void, repr_dtype))
prefix = "rec.array("
fmt = 'rec.array(%s,%sdtype=%s)'
else:
# otherwise represent it using np.array plus a view
# This should only happen if the user is playing
# strange games with dtypes.
prefix = "array("
fmt = 'array(%s,%sdtype=%s).view(numpy.recarray)'
# get data/shape string. logic taken from numeric.array_repr
if self.size > 0 or self.shape == (0,):
lst = sb.array2string(
self, separator=', ', prefix=prefix, suffix=',')
else:
# show zero-length shape unless it is (0,)
lst = "[], shape=%s" % (repr(self.shape),)
lf = '\n'+' '*len(prefix)
if _get_legacy_print_mode() <= 113:
lf = ' ' + lf # trailing space
return fmt % (lst, lf, repr_dtype)
def field(self, attr, val=None):
if isinstance(attr, int):
names = ndarray.__getattribute__(self, 'dtype').names
attr = names[attr]
fielddict = ndarray.__getattribute__(self, 'dtype').fields
res = fielddict[attr][:2]
if val is None:
obj = self.getfield(*res)
if obj.dtype.names is not None:
return obj
return obj.view(ndarray)
else:
return self.setfield(val, *res)
def _deprecate_shape_0_as_None(shape):
if shape == 0:
warnings.warn(
"Passing `shape=0` to have the shape be inferred is deprecated, "
"and in future will be equivalent to `shape=(0,)`. To infer "
"the shape and suppress this warning, pass `shape=None` instead.",
FutureWarning, stacklevel=3)
return None
else:
return shape
@set_module("numpy.rec")
def fromarrays(arrayList, dtype=None, shape=None, formats=None,
names=None, titles=None, aligned=False, byteorder=None):
"""Create a record array from a (flat) list of arrays
Parameters
----------
arrayList : list or tuple
List of array-like objects (such as lists, tuples,
and ndarrays).
dtype : data-type, optional
valid dtype for all arrays
shape : int or tuple of ints, optional
Shape of the resulting array. If not provided, inferred from
``arrayList[0]``.
formats, names, titles, aligned, byteorder :
If `dtype` is ``None``, these arguments are passed to
`numpy.format_parser` to construct a dtype. See that function for
detailed documentation.
Returns
-------
np.recarray
Record array consisting of given arrayList columns.
Examples
--------
>>> x1=np.array([1,2,3,4])
>>> x2=np.array(['a','dd','xyz','12'])
>>> x3=np.array([1.1,2,3,4])
>>> r = np.core.records.fromarrays([x1,x2,x3],names='a,b,c')
>>> print(r[1])
(2, 'dd', 2.0) # may vary
>>> x1[1]=34
>>> r.a
array([1, 2, 3, 4])
>>> x1 = np.array([1, 2, 3, 4])
>>> x2 = np.array(['a', 'dd', 'xyz', '12'])
>>> x3 = np.array([1.1, 2, 3,4])
>>> r = np.core.records.fromarrays(
... [x1, x2, x3],
... dtype=np.dtype([('a', np.int32), ('b', 'S3'), ('c', np.float32)]))
>>> r
rec.array([(1, b'a', 1.1), (2, b'dd', 2. ), (3, b'xyz', 3. ),
(4, b'12', 4. )],
dtype=[('a', '<i4'), ('b', 'S3'), ('c', '<f4')])
"""
arrayList = [sb.asarray(x) for x in arrayList]
# NumPy 1.19.0, 2020-01-01
shape = _deprecate_shape_0_as_None(shape)
if shape is None:
shape = arrayList[0].shape
elif isinstance(shape, int):
shape = (shape,)
if formats is None and dtype is None:
# go through each object in the list to see if it is an ndarray
# and determine the formats.
formats = [obj.dtype for obj in arrayList]
if dtype is not None:
descr = sb.dtype(dtype)
else:
descr = format_parser(formats, names, titles, aligned, byteorder).dtype
_names = descr.names
# Determine shape from data-type.
if len(descr) != len(arrayList):
raise ValueError("mismatch between the number of fields "
"and the number of arrays")
d0 = descr[0].shape
nn = len(d0)
if nn > 0:
shape = shape[:-nn]
_array = recarray(shape, descr)
# populate the record array (makes a copy)
for k, obj in enumerate(arrayList):
nn = descr[k].ndim
testshape = obj.shape[:obj.ndim - nn]
name = _names[k]
if testshape != shape:
raise ValueError(f'array-shape mismatch in array {k} ("{name}")')
_array[name] = obj
return _array
@set_module("numpy.rec")
def fromrecords(recList, dtype=None, shape=None, formats=None, names=None,
titles=None, aligned=False, byteorder=None):
"""Create a recarray from a list of records in text form.
Parameters
----------
recList : sequence
data in the same field may be heterogeneous - they will be promoted
to the highest data type.
dtype : data-type, optional
valid dtype for all arrays
shape : int or tuple of ints, optional
shape of each array.
formats, names, titles, aligned, byteorder :
If `dtype` is ``None``, these arguments are passed to
`numpy.format_parser` to construct a dtype. See that function for
detailed documentation.
If both `formats` and `dtype` are None, then this will auto-detect
formats. Use list of tuples rather than list of lists for faster
processing.
Returns
-------
np.recarray
record array consisting of given recList rows.
Examples
--------
>>> r=np.core.records.fromrecords([(456,'dbe',1.2),(2,'de',1.3)],
... names='col1,col2,col3')
>>> print(r[0])
(456, 'dbe', 1.2)
>>> r.col1
array([456, 2])
>>> r.col2
array(['dbe', 'de'], dtype='<U3')
>>> import pickle
>>> pickle.loads(pickle.dumps(r))
rec.array([(456, 'dbe', 1.2), ( 2, 'de', 1.3)],
dtype=[('col1', '<i8'), ('col2', '<U3'), ('col3', '<f8')])
"""
if formats is None and dtype is None: # slower
obj = sb.array(recList, dtype=object)
arrlist = [sb.array(obj[..., i].tolist()) for i in range(obj.shape[-1])]
return fromarrays(arrlist, formats=formats, shape=shape, names=names,
titles=titles, aligned=aligned, byteorder=byteorder)
if dtype is not None:
descr = sb.dtype((record, dtype))
else:
descr = format_parser(formats, names, titles, aligned, byteorder).dtype
try:
retval = sb.array(recList, dtype=descr)
except (TypeError, ValueError):
# NumPy 1.19.0, 2020-01-01
shape = _deprecate_shape_0_as_None(shape)
if shape is None:
shape = len(recList)
if isinstance(shape, int):
shape = (shape,)
if len(shape) > 1:
raise ValueError("Can only deal with 1-d array.")
_array = recarray(shape, descr)
for k in range(_array.size):
_array[k] = tuple(recList[k])
# list of lists instead of list of tuples ?
# 2018-02-07, 1.14.1
warnings.warn(
"fromrecords expected a list of tuples, may have received a list "
"of lists instead. In the future that will raise an error",
FutureWarning, stacklevel=2)
return _array
else:
if shape is not None and retval.shape != shape:
retval.shape = shape
res = retval.view(recarray)
return res
@set_module("numpy.rec")
def fromstring(datastring, dtype=None, shape=None, offset=0, formats=None,
names=None, titles=None, aligned=False, byteorder=None):
r"""Create a record array from binary data
Note that despite the name of this function it does not accept `str`
instances.
Parameters
----------
datastring : bytes-like
Buffer of binary data
dtype : data-type, optional
Valid dtype for all arrays
shape : int or tuple of ints, optional
Shape of each array.
offset : int, optional
Position in the buffer to start reading from.
formats, names, titles, aligned, byteorder :
If `dtype` is ``None``, these arguments are passed to
`numpy.format_parser` to construct a dtype. See that function for
detailed documentation.
Returns
-------
np.recarray
Record array view into the data in datastring. This will be readonly
if `datastring` is readonly.
See Also
--------
numpy.frombuffer
Examples
--------
>>> a = b'\x01\x02\x03abc'
>>> np.core.records.fromstring(a, dtype='u1,u1,u1,S3')
rec.array([(1, 2, 3, b'abc')],
dtype=[('f0', 'u1'), ('f1', 'u1'), ('f2', 'u1'), ('f3', 'S3')])
>>> grades_dtype = [('Name', (np.str_, 10)), ('Marks', np.float64),
... ('GradeLevel', np.int32)]
>>> grades_array = np.array([('Sam', 33.3, 3), ('Mike', 44.4, 5),
... ('Aadi', 66.6, 6)], dtype=grades_dtype)
>>> np.core.records.fromstring(grades_array.tobytes(), dtype=grades_dtype)
rec.array([('Sam', 33.3, 3), ('Mike', 44.4, 5), ('Aadi', 66.6, 6)],
dtype=[('Name', '<U10'), ('Marks', '<f8'), ('GradeLevel', '<i4')])
>>> s = '\x01\x02\x03abc'
>>> np.core.records.fromstring(s, dtype='u1,u1,u1,S3')
Traceback (most recent call last)
...
TypeError: a bytes-like object is required, not 'str'
"""
if dtype is None and formats is None:
raise TypeError("fromstring() needs a 'dtype' or 'formats' argument")
if dtype is not None:
descr = sb.dtype(dtype)
else:
descr = format_parser(formats, names, titles, aligned, byteorder).dtype
itemsize = descr.itemsize
# NumPy 1.19.0, 2020-01-01
shape = _deprecate_shape_0_as_None(shape)
if shape in (None, -1):
shape = (len(datastring) - offset) // itemsize
_array = recarray(shape, descr, buf=datastring, offset=offset)
return _array
def get_remaining_size(fd):
pos = fd.tell()
try:
fd.seek(0, 2)
return fd.tell() - pos
finally:
fd.seek(pos, 0)
@set_module("numpy.rec")
def fromfile(fd, dtype=None, shape=None, offset=0, formats=None,
names=None, titles=None, aligned=False, byteorder=None):
"""Create an array from binary file data
Parameters
----------
fd : str or file type
If file is a string or a path-like object then that file is opened,
else it is assumed to be a file object. The file object must
support random access (i.e. it must have tell and seek methods).
dtype : data-type, optional
valid dtype for all arrays
shape : int or tuple of ints, optional
shape of each array.
offset : int, optional
Position in the file to start reading from.
formats, names, titles, aligned, byteorder :
If `dtype` is ``None``, these arguments are passed to
`numpy.format_parser` to construct a dtype. See that function for
detailed documentation
Returns
-------
np.recarray
record array consisting of data enclosed in file.
Examples
--------
>>> from tempfile import TemporaryFile
>>> a = np.empty(10,dtype='f8,i4,a5')
>>> a[5] = (0.5,10,'abcde')
>>>
>>> fd=TemporaryFile()
>>> a = a.newbyteorder('<')
>>> a.tofile(fd)
>>>
>>> _ = fd.seek(0)
>>> r=np.core.records.fromfile(fd, formats='f8,i4,a5', shape=10,
... byteorder='<')
>>> print(r[5])
(0.5, 10, 'abcde')
>>> r.shape
(10,)
"""
if dtype is None and formats is None:
raise TypeError("fromfile() needs a 'dtype' or 'formats' argument")
# NumPy 1.19.0, 2020-01-01
shape = _deprecate_shape_0_as_None(shape)
if shape is None:
shape = (-1,)
elif isinstance(shape, int):
shape = (shape,)
if hasattr(fd, 'readinto'):
# GH issue 2504. fd supports io.RawIOBase or io.BufferedIOBase interface.
# Example of fd: gzip, BytesIO, BufferedReader
# file already opened
ctx = nullcontext(fd)
else:
# open file
ctx = open(os_fspath(fd), 'rb')
with ctx as fd:
if offset > 0:
fd.seek(offset, 1)
size = get_remaining_size(fd)
if dtype is not None:
descr = sb.dtype(dtype)
else:
descr = format_parser(formats, names, titles, aligned, byteorder).dtype
itemsize = descr.itemsize
shapeprod = sb.array(shape).prod(dtype=nt.intp)
shapesize = shapeprod * itemsize
if shapesize < 0:
shape = list(shape)
shape[shape.index(-1)] = size // -shapesize
shape = tuple(shape)
shapeprod = sb.array(shape).prod(dtype=nt.intp)
nbytes = shapeprod * itemsize
if nbytes > size:
raise ValueError(
"Not enough bytes left in file for specified shape and type")
# create the array
_array = recarray(shape, descr)
nbytesread = fd.readinto(_array.data)
if nbytesread != nbytes:
raise OSError("Didn't read as many bytes as expected")
return _array
@set_module("numpy.rec")
def array(obj, dtype=None, shape=None, offset=0, strides=None, formats=None,
names=None, titles=None, aligned=False, byteorder=None, copy=True):
"""
Construct a record array from a wide-variety of objects.
A general-purpose record array constructor that dispatches to the
appropriate `recarray` creation function based on the inputs (see Notes).
Parameters
----------
obj : any
Input object. See Notes for details on how various input types are
treated.
dtype : data-type, optional
Valid dtype for array.
shape : int or tuple of ints, optional
Shape of each array.
offset : int, optional
Position in the file or buffer to start reading from.
strides : tuple of ints, optional
Buffer (`buf`) is interpreted according to these strides (strides
define how many bytes each array element, row, column, etc.
occupy in memory).
formats, names, titles, aligned, byteorder :
If `dtype` is ``None``, these arguments are passed to
`numpy.format_parser` to construct a dtype. See that function for
detailed documentation.
copy : bool, optional
Whether to copy the input object (True), or to use a reference instead.
This option only applies when the input is an ndarray or recarray.
Defaults to True.
Returns
-------
np.recarray
Record array created from the specified object.
Notes
-----
If `obj` is ``None``, then call the `~numpy.recarray` constructor. If
`obj` is a string, then call the `fromstring` constructor. If `obj` is a
list or a tuple, then if the first object is an `~numpy.ndarray`, call
`fromarrays`, otherwise call `fromrecords`. If `obj` is a
`~numpy.recarray`, then make a copy of the data in the recarray
(if ``copy=True``) and use the new formats, names, and titles. If `obj`
is a file, then call `fromfile`. Finally, if obj is an `ndarray`, then
return ``obj.view(recarray)``, making a copy of the data if ``copy=True``.
Examples
--------
>>> a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
>>> np.core.records.array(a)
rec.array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]],
dtype=int32)
>>> b = [(1, 1), (2, 4), (3, 9)]
>>> c = np.core.records.array(b, formats = ['i2', 'f2'], names = ('x', 'y'))
>>> c
rec.array([(1, 1.0), (2, 4.0), (3, 9.0)],
dtype=[('x', '<i2'), ('y', '<f2')])
>>> c.x
rec.array([1, 2, 3], dtype=int16)
>>> c.y
rec.array([ 1.0, 4.0, 9.0], dtype=float16)
>>> r = np.rec.array(['abc','def'], names=['col1','col2'])
>>> print(r.col1)
abc
>>> r.col1
array('abc', dtype='<U3')
>>> r.col2
array('def', dtype='<U3')
"""
if ((isinstance(obj, (type(None), str)) or hasattr(obj, 'readinto')) and
formats is None and dtype is None):
raise ValueError("Must define formats (or dtype) if object is "
"None, string, or an open file")
kwds = {}
if dtype is not None:
dtype = sb.dtype(dtype)
elif formats is not None:
dtype = format_parser(formats, names, titles,
aligned, byteorder).dtype
else:
kwds = {'formats': formats,
'names': names,
'titles': titles,
'aligned': aligned,
'byteorder': byteorder
}
if obj is None:
if shape is None:
raise ValueError("Must define a shape if obj is None")
return recarray(shape, dtype, buf=obj, offset=offset, strides=strides)
elif isinstance(obj, bytes):
return fromstring(obj, dtype, shape=shape, offset=offset, **kwds)
elif isinstance(obj, (list, tuple)):
if isinstance(obj[0], (tuple, list)):
return fromrecords(obj, dtype=dtype, shape=shape, **kwds)
else:
return fromarrays(obj, dtype=dtype, shape=shape, **kwds)
elif isinstance(obj, recarray):
if dtype is not None and (obj.dtype != dtype):
new = obj.view(dtype)
else:
new = obj
if copy:
new = new.copy()
return new
elif hasattr(obj, 'readinto'):
return fromfile(obj, dtype=dtype, shape=shape, offset=offset)
elif isinstance(obj, ndarray):
if dtype is not None and (obj.dtype != dtype):
new = obj.view(dtype)
else:
new = obj
if copy:
new = new.copy()
return new.view(recarray)
else:
interface = getattr(obj, "__array_interface__", None)
if interface is None or not isinstance(interface, dict):
raise ValueError("Unknown input type")
obj = sb.array(obj)
if dtype is not None and (obj.dtype != dtype):
obj = obj.view(dtype)
return obj.view(recarray)
| 37,545 | Python | 33.132727 | 87 | 0.562285 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/numeric.pyi | from collections.abc import Callable, Sequence
from typing import (
Any,
overload,
TypeVar,
Literal,
SupportsAbs,
SupportsIndex,
NoReturn,
)
from typing_extensions import TypeGuard
from numpy import (
ComplexWarning as ComplexWarning,
generic,
unsignedinteger,
signedinteger,
floating,
complexfloating,
bool_,
int_,
intp,
float64,
timedelta64,
object_,
_OrderKACF,
_OrderCF,
)
from numpy._typing import (
ArrayLike,
NDArray,
DTypeLike,
_ShapeLike,
_DTypeLike,
_ArrayLike,
_SupportsArrayFunc,
_ScalarLike_co,
_ArrayLikeBool_co,
_ArrayLikeUInt_co,
_ArrayLikeInt_co,
_ArrayLikeFloat_co,
_ArrayLikeComplex_co,
_ArrayLikeTD64_co,
_ArrayLikeObject_co,
_ArrayLikeUnknown,
)
_T = TypeVar("_T")
_SCT = TypeVar("_SCT", bound=generic)
_ArrayType = TypeVar("_ArrayType", bound=NDArray[Any])
_CorrelateMode = Literal["valid", "same", "full"]
__all__: list[str]
@overload
def zeros_like(
a: _ArrayType,
dtype: None = ...,
order: _OrderKACF = ...,
subok: Literal[True] = ...,
shape: None = ...,
) -> _ArrayType: ...
@overload
def zeros_like(
a: _ArrayLike[_SCT],
dtype: None = ...,
order: _OrderKACF = ...,
subok: bool = ...,
shape: None | _ShapeLike = ...,
) -> NDArray[_SCT]: ...
@overload
def zeros_like(
a: object,
dtype: None = ...,
order: _OrderKACF = ...,
subok: bool = ...,
shape: None | _ShapeLike= ...,
) -> NDArray[Any]: ...
@overload
def zeros_like(
a: Any,
dtype: _DTypeLike[_SCT],
order: _OrderKACF = ...,
subok: bool = ...,
shape: None | _ShapeLike= ...,
) -> NDArray[_SCT]: ...
@overload
def zeros_like(
a: Any,
dtype: DTypeLike,
order: _OrderKACF = ...,
subok: bool = ...,
shape: None | _ShapeLike= ...,
) -> NDArray[Any]: ...
@overload
def ones(
shape: _ShapeLike,
dtype: None = ...,
order: _OrderCF = ...,
*,
like: _SupportsArrayFunc = ...,
) -> NDArray[float64]: ...
@overload
def ones(
shape: _ShapeLike,
dtype: _DTypeLike[_SCT],
order: _OrderCF = ...,
*,
like: _SupportsArrayFunc = ...,
) -> NDArray[_SCT]: ...
@overload
def ones(
shape: _ShapeLike,
dtype: DTypeLike,
order: _OrderCF = ...,
*,
like: _SupportsArrayFunc = ...,
) -> NDArray[Any]: ...
@overload
def ones_like(
a: _ArrayType,
dtype: None = ...,
order: _OrderKACF = ...,
subok: Literal[True] = ...,
shape: None = ...,
) -> _ArrayType: ...
@overload
def ones_like(
a: _ArrayLike[_SCT],
dtype: None = ...,
order: _OrderKACF = ...,
subok: bool = ...,
shape: None | _ShapeLike = ...,
) -> NDArray[_SCT]: ...
@overload
def ones_like(
a: object,
dtype: None = ...,
order: _OrderKACF = ...,
subok: bool = ...,
shape: None | _ShapeLike= ...,
) -> NDArray[Any]: ...
@overload
def ones_like(
a: Any,
dtype: _DTypeLike[_SCT],
order: _OrderKACF = ...,
subok: bool = ...,
shape: None | _ShapeLike= ...,
) -> NDArray[_SCT]: ...
@overload
def ones_like(
a: Any,
dtype: DTypeLike,
order: _OrderKACF = ...,
subok: bool = ...,
shape: None | _ShapeLike= ...,
) -> NDArray[Any]: ...
@overload
def full(
shape: _ShapeLike,
fill_value: Any,
dtype: None = ...,
order: _OrderCF = ...,
*,
like: _SupportsArrayFunc = ...,
) -> NDArray[Any]: ...
@overload
def full(
shape: _ShapeLike,
fill_value: Any,
dtype: _DTypeLike[_SCT],
order: _OrderCF = ...,
*,
like: _SupportsArrayFunc = ...,
) -> NDArray[_SCT]: ...
@overload
def full(
shape: _ShapeLike,
fill_value: Any,
dtype: DTypeLike,
order: _OrderCF = ...,
*,
like: _SupportsArrayFunc = ...,
) -> NDArray[Any]: ...
@overload
def full_like(
a: _ArrayType,
fill_value: Any,
dtype: None = ...,
order: _OrderKACF = ...,
subok: Literal[True] = ...,
shape: None = ...,
) -> _ArrayType: ...
@overload
def full_like(
a: _ArrayLike[_SCT],
fill_value: Any,
dtype: None = ...,
order: _OrderKACF = ...,
subok: bool = ...,
shape: None | _ShapeLike = ...,
) -> NDArray[_SCT]: ...
@overload
def full_like(
a: object,
fill_value: Any,
dtype: None = ...,
order: _OrderKACF = ...,
subok: bool = ...,
shape: None | _ShapeLike= ...,
) -> NDArray[Any]: ...
@overload
def full_like(
a: Any,
fill_value: Any,
dtype: _DTypeLike[_SCT],
order: _OrderKACF = ...,
subok: bool = ...,
shape: None | _ShapeLike= ...,
) -> NDArray[_SCT]: ...
@overload
def full_like(
a: Any,
fill_value: Any,
dtype: DTypeLike,
order: _OrderKACF = ...,
subok: bool = ...,
shape: None | _ShapeLike= ...,
) -> NDArray[Any]: ...
@overload
def count_nonzero(
a: ArrayLike,
axis: None = ...,
*,
keepdims: Literal[False] = ...,
) -> int: ...
@overload
def count_nonzero(
a: ArrayLike,
axis: _ShapeLike = ...,
*,
keepdims: bool = ...,
) -> Any: ... # TODO: np.intp or ndarray[np.intp]
def isfortran(a: NDArray[Any] | generic) -> bool: ...
def argwhere(a: ArrayLike) -> NDArray[intp]: ...
def flatnonzero(a: ArrayLike) -> NDArray[intp]: ...
@overload
def correlate(
a: _ArrayLikeUnknown,
v: _ArrayLikeUnknown,
mode: _CorrelateMode = ...,
) -> NDArray[Any]: ...
@overload
def correlate(
a: _ArrayLikeBool_co,
v: _ArrayLikeBool_co,
mode: _CorrelateMode = ...,
) -> NDArray[bool_]: ...
@overload
def correlate(
a: _ArrayLikeUInt_co,
v: _ArrayLikeUInt_co,
mode: _CorrelateMode = ...,
) -> NDArray[unsignedinteger[Any]]: ...
@overload
def correlate(
a: _ArrayLikeInt_co,
v: _ArrayLikeInt_co,
mode: _CorrelateMode = ...,
) -> NDArray[signedinteger[Any]]: ...
@overload
def correlate(
a: _ArrayLikeFloat_co,
v: _ArrayLikeFloat_co,
mode: _CorrelateMode = ...,
) -> NDArray[floating[Any]]: ...
@overload
def correlate(
a: _ArrayLikeComplex_co,
v: _ArrayLikeComplex_co,
mode: _CorrelateMode = ...,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def correlate(
a: _ArrayLikeTD64_co,
v: _ArrayLikeTD64_co,
mode: _CorrelateMode = ...,
) -> NDArray[timedelta64]: ...
@overload
def correlate(
a: _ArrayLikeObject_co,
v: _ArrayLikeObject_co,
mode: _CorrelateMode = ...,
) -> NDArray[object_]: ...
@overload
def convolve(
a: _ArrayLikeUnknown,
v: _ArrayLikeUnknown,
mode: _CorrelateMode = ...,
) -> NDArray[Any]: ...
@overload
def convolve(
a: _ArrayLikeBool_co,
v: _ArrayLikeBool_co,
mode: _CorrelateMode = ...,
) -> NDArray[bool_]: ...
@overload
def convolve(
a: _ArrayLikeUInt_co,
v: _ArrayLikeUInt_co,
mode: _CorrelateMode = ...,
) -> NDArray[unsignedinteger[Any]]: ...
@overload
def convolve(
a: _ArrayLikeInt_co,
v: _ArrayLikeInt_co,
mode: _CorrelateMode = ...,
) -> NDArray[signedinteger[Any]]: ...
@overload
def convolve(
a: _ArrayLikeFloat_co,
v: _ArrayLikeFloat_co,
mode: _CorrelateMode = ...,
) -> NDArray[floating[Any]]: ...
@overload
def convolve(
a: _ArrayLikeComplex_co,
v: _ArrayLikeComplex_co,
mode: _CorrelateMode = ...,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def convolve(
a: _ArrayLikeTD64_co,
v: _ArrayLikeTD64_co,
mode: _CorrelateMode = ...,
) -> NDArray[timedelta64]: ...
@overload
def convolve(
a: _ArrayLikeObject_co,
v: _ArrayLikeObject_co,
mode: _CorrelateMode = ...,
) -> NDArray[object_]: ...
@overload
def outer(
a: _ArrayLikeUnknown,
b: _ArrayLikeUnknown,
out: None = ...,
) -> NDArray[Any]: ...
@overload
def outer(
a: _ArrayLikeBool_co,
b: _ArrayLikeBool_co,
out: None = ...,
) -> NDArray[bool_]: ...
@overload
def outer(
a: _ArrayLikeUInt_co,
b: _ArrayLikeUInt_co,
out: None = ...,
) -> NDArray[unsignedinteger[Any]]: ...
@overload
def outer(
a: _ArrayLikeInt_co,
b: _ArrayLikeInt_co,
out: None = ...,
) -> NDArray[signedinteger[Any]]: ...
@overload
def outer(
a: _ArrayLikeFloat_co,
b: _ArrayLikeFloat_co,
out: None = ...,
) -> NDArray[floating[Any]]: ...
@overload
def outer(
a: _ArrayLikeComplex_co,
b: _ArrayLikeComplex_co,
out: None = ...,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def outer(
a: _ArrayLikeTD64_co,
b: _ArrayLikeTD64_co,
out: None = ...,
) -> NDArray[timedelta64]: ...
@overload
def outer(
a: _ArrayLikeObject_co,
b: _ArrayLikeObject_co,
out: None = ...,
) -> NDArray[object_]: ...
@overload
def outer(
a: _ArrayLikeComplex_co | _ArrayLikeTD64_co | _ArrayLikeObject_co,
b: _ArrayLikeComplex_co | _ArrayLikeTD64_co | _ArrayLikeObject_co,
out: _ArrayType,
) -> _ArrayType: ...
@overload
def tensordot(
a: _ArrayLikeUnknown,
b: _ArrayLikeUnknown,
axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[Any]: ...
@overload
def tensordot(
a: _ArrayLikeBool_co,
b: _ArrayLikeBool_co,
axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[bool_]: ...
@overload
def tensordot(
a: _ArrayLikeUInt_co,
b: _ArrayLikeUInt_co,
axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[unsignedinteger[Any]]: ...
@overload
def tensordot(
a: _ArrayLikeInt_co,
b: _ArrayLikeInt_co,
axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[signedinteger[Any]]: ...
@overload
def tensordot(
a: _ArrayLikeFloat_co,
b: _ArrayLikeFloat_co,
axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[floating[Any]]: ...
@overload
def tensordot(
a: _ArrayLikeComplex_co,
b: _ArrayLikeComplex_co,
axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def tensordot(
a: _ArrayLikeTD64_co,
b: _ArrayLikeTD64_co,
axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[timedelta64]: ...
@overload
def tensordot(
a: _ArrayLikeObject_co,
b: _ArrayLikeObject_co,
axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[object_]: ...
@overload
def roll(
a: _ArrayLike[_SCT],
shift: _ShapeLike,
axis: None | _ShapeLike = ...,
) -> NDArray[_SCT]: ...
@overload
def roll(
a: ArrayLike,
shift: _ShapeLike,
axis: None | _ShapeLike = ...,
) -> NDArray[Any]: ...
def rollaxis(
a: NDArray[_SCT],
axis: int,
start: int = ...,
) -> NDArray[_SCT]: ...
def moveaxis(
a: NDArray[_SCT],
source: _ShapeLike,
destination: _ShapeLike,
) -> NDArray[_SCT]: ...
@overload
def cross(
a: _ArrayLikeUnknown,
b: _ArrayLikeUnknown,
axisa: int = ...,
axisb: int = ...,
axisc: int = ...,
axis: None | int = ...,
) -> NDArray[Any]: ...
@overload
def cross(
a: _ArrayLikeBool_co,
b: _ArrayLikeBool_co,
axisa: int = ...,
axisb: int = ...,
axisc: int = ...,
axis: None | int = ...,
) -> NoReturn: ...
@overload
def cross(
a: _ArrayLikeUInt_co,
b: _ArrayLikeUInt_co,
axisa: int = ...,
axisb: int = ...,
axisc: int = ...,
axis: None | int = ...,
) -> NDArray[unsignedinteger[Any]]: ...
@overload
def cross(
a: _ArrayLikeInt_co,
b: _ArrayLikeInt_co,
axisa: int = ...,
axisb: int = ...,
axisc: int = ...,
axis: None | int = ...,
) -> NDArray[signedinteger[Any]]: ...
@overload
def cross(
a: _ArrayLikeFloat_co,
b: _ArrayLikeFloat_co,
axisa: int = ...,
axisb: int = ...,
axisc: int = ...,
axis: None | int = ...,
) -> NDArray[floating[Any]]: ...
@overload
def cross(
a: _ArrayLikeComplex_co,
b: _ArrayLikeComplex_co,
axisa: int = ...,
axisb: int = ...,
axisc: int = ...,
axis: None | int = ...,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def cross(
a: _ArrayLikeObject_co,
b: _ArrayLikeObject_co,
axisa: int = ...,
axisb: int = ...,
axisc: int = ...,
axis: None | int = ...,
) -> NDArray[object_]: ...
@overload
def indices(
dimensions: Sequence[int],
dtype: type[int] = ...,
sparse: Literal[False] = ...,
) -> NDArray[int_]: ...
@overload
def indices(
dimensions: Sequence[int],
dtype: type[int] = ...,
sparse: Literal[True] = ...,
) -> tuple[NDArray[int_], ...]: ...
@overload
def indices(
dimensions: Sequence[int],
dtype: _DTypeLike[_SCT],
sparse: Literal[False] = ...,
) -> NDArray[_SCT]: ...
@overload
def indices(
dimensions: Sequence[int],
dtype: _DTypeLike[_SCT],
sparse: Literal[True],
) -> tuple[NDArray[_SCT], ...]: ...
@overload
def indices(
dimensions: Sequence[int],
dtype: DTypeLike,
sparse: Literal[False] = ...,
) -> NDArray[Any]: ...
@overload
def indices(
dimensions: Sequence[int],
dtype: DTypeLike,
sparse: Literal[True],
) -> tuple[NDArray[Any], ...]: ...
def fromfunction(
function: Callable[..., _T],
shape: Sequence[int],
*,
dtype: DTypeLike = ...,
like: _SupportsArrayFunc = ...,
**kwargs: Any,
) -> _T: ...
def isscalar(element: object) -> TypeGuard[
generic | bool | int | float | complex | str | bytes | memoryview
]: ...
def binary_repr(num: int, width: None | int = ...) -> str: ...
def base_repr(
number: SupportsAbs[float],
base: float = ...,
padding: SupportsIndex = ...,
) -> str: ...
@overload
def identity(
n: int,
dtype: None = ...,
*,
like: _SupportsArrayFunc = ...,
) -> NDArray[float64]: ...
@overload
def identity(
n: int,
dtype: _DTypeLike[_SCT],
*,
like: _SupportsArrayFunc = ...,
) -> NDArray[_SCT]: ...
@overload
def identity(
n: int,
dtype: DTypeLike,
*,
like: _SupportsArrayFunc = ...,
) -> NDArray[Any]: ...
def allclose(
a: ArrayLike,
b: ArrayLike,
rtol: float = ...,
atol: float = ...,
equal_nan: bool = ...,
) -> bool: ...
@overload
def isclose(
a: _ScalarLike_co,
b: _ScalarLike_co,
rtol: float = ...,
atol: float = ...,
equal_nan: bool = ...,
) -> bool_: ...
@overload
def isclose(
a: ArrayLike,
b: ArrayLike,
rtol: float = ...,
atol: float = ...,
equal_nan: bool = ...,
) -> NDArray[bool_]: ...
def array_equal(a1: ArrayLike, a2: ArrayLike, equal_nan: bool = ...) -> bool: ...
def array_equiv(a1: ArrayLike, a2: ArrayLike) -> bool: ...
| 14,230 | unknown | 20.62766 | 81 | 0.566479 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_internal.py | """
A place for internal code
Some things are more easily handled Python.
"""
import ast
import re
import sys
import platform
import warnings
from .multiarray import dtype, array, ndarray, promote_types
try:
import ctypes
except ImportError:
ctypes = None
IS_PYPY = platform.python_implementation() == 'PyPy'
if sys.byteorder == 'little':
_nbo = '<'
else:
_nbo = '>'
def _makenames_list(adict, align):
allfields = []
for fname, obj in adict.items():
n = len(obj)
if not isinstance(obj, tuple) or n not in (2, 3):
raise ValueError("entry not a 2- or 3- tuple")
if n > 2 and obj[2] == fname:
continue
num = int(obj[1])
if num < 0:
raise ValueError("invalid offset.")
format = dtype(obj[0], align=align)
if n > 2:
title = obj[2]
else:
title = None
allfields.append((fname, format, num, title))
# sort by offsets
allfields.sort(key=lambda x: x[2])
names = [x[0] for x in allfields]
formats = [x[1] for x in allfields]
offsets = [x[2] for x in allfields]
titles = [x[3] for x in allfields]
return names, formats, offsets, titles
# Called in PyArray_DescrConverter function when
# a dictionary without "names" and "formats"
# fields is used as a data-type descriptor.
def _usefields(adict, align):
try:
names = adict[-1]
except KeyError:
names = None
if names is None:
names, formats, offsets, titles = _makenames_list(adict, align)
else:
formats = []
offsets = []
titles = []
for name in names:
res = adict[name]
formats.append(res[0])
offsets.append(res[1])
if len(res) > 2:
titles.append(res[2])
else:
titles.append(None)
return dtype({"names": names,
"formats": formats,
"offsets": offsets,
"titles": titles}, align)
# construct an array_protocol descriptor list
# from the fields attribute of a descriptor
# This calls itself recursively but should eventually hit
# a descriptor that has no fields and then return
# a simple typestring
def _array_descr(descriptor):
fields = descriptor.fields
if fields is None:
subdtype = descriptor.subdtype
if subdtype is None:
if descriptor.metadata is None:
return descriptor.str
else:
new = descriptor.metadata.copy()
if new:
return (descriptor.str, new)
else:
return descriptor.str
else:
return (_array_descr(subdtype[0]), subdtype[1])
names = descriptor.names
ordered_fields = [fields[x] + (x,) for x in names]
result = []
offset = 0
for field in ordered_fields:
if field[1] > offset:
num = field[1] - offset
result.append(('', f'|V{num}'))
offset += num
elif field[1] < offset:
raise ValueError(
"dtype.descr is not defined for types with overlapping or "
"out-of-order fields")
if len(field) > 3:
name = (field[2], field[3])
else:
name = field[2]
if field[0].subdtype:
tup = (name, _array_descr(field[0].subdtype[0]),
field[0].subdtype[1])
else:
tup = (name, _array_descr(field[0]))
offset += field[0].itemsize
result.append(tup)
if descriptor.itemsize > offset:
num = descriptor.itemsize - offset
result.append(('', f'|V{num}'))
return result
# Build a new array from the information in a pickle.
# Note that the name numpy.core._internal._reconstruct is embedded in
# pickles of ndarrays made with NumPy before release 1.0
# so don't remove the name here, or you'll
# break backward compatibility.
def _reconstruct(subtype, shape, dtype):
return ndarray.__new__(subtype, shape, dtype)
# format_re was originally from numarray by J. Todd Miller
format_re = re.compile(r'(?P<order1>[<>|=]?)'
r'(?P<repeats> *[(]?[ ,0-9]*[)]? *)'
r'(?P<order2>[<>|=]?)'
r'(?P<dtype>[A-Za-z0-9.?]*(?:\[[a-zA-Z0-9,.]+\])?)')
sep_re = re.compile(r'\s*,\s*')
space_re = re.compile(r'\s+$')
# astr is a string (perhaps comma separated)
_convorder = {'=': _nbo}
def _commastring(astr):
startindex = 0
result = []
while startindex < len(astr):
mo = format_re.match(astr, pos=startindex)
try:
(order1, repeats, order2, dtype) = mo.groups()
except (TypeError, AttributeError):
raise ValueError(
f'format number {len(result)+1} of "{astr}" is not recognized'
) from None
startindex = mo.end()
# Separator or ending padding
if startindex < len(astr):
if space_re.match(astr, pos=startindex):
startindex = len(astr)
else:
mo = sep_re.match(astr, pos=startindex)
if not mo:
raise ValueError(
'format number %d of "%s" is not recognized' %
(len(result)+1, astr))
startindex = mo.end()
if order2 == '':
order = order1
elif order1 == '':
order = order2
else:
order1 = _convorder.get(order1, order1)
order2 = _convorder.get(order2, order2)
if (order1 != order2):
raise ValueError(
'inconsistent byte-order specification %s and %s' %
(order1, order2))
order = order1
if order in ('|', '=', _nbo):
order = ''
dtype = order + dtype
if (repeats == ''):
newitem = dtype
else:
newitem = (dtype, ast.literal_eval(repeats))
result.append(newitem)
return result
class dummy_ctype:
def __init__(self, cls):
self._cls = cls
def __mul__(self, other):
return self
def __call__(self, *other):
return self._cls(other)
def __eq__(self, other):
return self._cls == other._cls
def __ne__(self, other):
return self._cls != other._cls
def _getintp_ctype():
val = _getintp_ctype.cache
if val is not None:
return val
if ctypes is None:
import numpy as np
val = dummy_ctype(np.intp)
else:
char = dtype('p').char
if char == 'i':
val = ctypes.c_int
elif char == 'l':
val = ctypes.c_long
elif char == 'q':
val = ctypes.c_longlong
else:
val = ctypes.c_long
_getintp_ctype.cache = val
return val
_getintp_ctype.cache = None
# Used for .ctypes attribute of ndarray
class _missing_ctypes:
def cast(self, num, obj):
return num.value
class c_void_p:
def __init__(self, ptr):
self.value = ptr
class _ctypes:
def __init__(self, array, ptr=None):
self._arr = array
if ctypes:
self._ctypes = ctypes
self._data = self._ctypes.c_void_p(ptr)
else:
# fake a pointer-like object that holds onto the reference
self._ctypes = _missing_ctypes()
self._data = self._ctypes.c_void_p(ptr)
self._data._objects = array
if self._arr.ndim == 0:
self._zerod = True
else:
self._zerod = False
def data_as(self, obj):
"""
Return the data pointer cast to a particular c-types object.
For example, calling ``self._as_parameter_`` is equivalent to
``self.data_as(ctypes.c_void_p)``. Perhaps you want to use the data as a
pointer to a ctypes array of floating-point data:
``self.data_as(ctypes.POINTER(ctypes.c_double))``.
The returned pointer will keep a reference to the array.
"""
# _ctypes.cast function causes a circular reference of self._data in
# self._data._objects. Attributes of self._data cannot be released
# until gc.collect is called. Make a copy of the pointer first then let
# it hold the array reference. This is a workaround to circumvent the
# CPython bug https://bugs.python.org/issue12836
ptr = self._ctypes.cast(self._data, obj)
ptr._arr = self._arr
return ptr
def shape_as(self, obj):
"""
Return the shape tuple as an array of some other c-types
type. For example: ``self.shape_as(ctypes.c_short)``.
"""
if self._zerod:
return None
return (obj*self._arr.ndim)(*self._arr.shape)
def strides_as(self, obj):
"""
Return the strides tuple as an array of some other
c-types type. For example: ``self.strides_as(ctypes.c_longlong)``.
"""
if self._zerod:
return None
return (obj*self._arr.ndim)(*self._arr.strides)
@property
def data(self):
"""
A pointer to the memory area of the array as a Python integer.
This memory area may contain data that is not aligned, or not in correct
byte-order. The memory area may not even be writeable. The array
flags and data-type of this array should be respected when passing this
attribute to arbitrary C-code to avoid trouble that can include Python
crashing. User Beware! The value of this attribute is exactly the same
as ``self._array_interface_['data'][0]``.
Note that unlike ``data_as``, a reference will not be kept to the array:
code like ``ctypes.c_void_p((a + b).ctypes.data)`` will result in a
pointer to a deallocated array, and should be spelt
``(a + b).ctypes.data_as(ctypes.c_void_p)``
"""
return self._data.value
@property
def shape(self):
"""
(c_intp*self.ndim): A ctypes array of length self.ndim where
the basetype is the C-integer corresponding to ``dtype('p')`` on this
platform (see `~numpy.ctypeslib.c_intp`). This base-type could be
`ctypes.c_int`, `ctypes.c_long`, or `ctypes.c_longlong` depending on
the platform. The ctypes array contains the shape of
the underlying array.
"""
return self.shape_as(_getintp_ctype())
@property
def strides(self):
"""
(c_intp*self.ndim): A ctypes array of length self.ndim where
the basetype is the same as for the shape attribute. This ctypes array
contains the strides information from the underlying array. This strides
information is important for showing how many bytes must be jumped to
get to the next element in the array.
"""
return self.strides_as(_getintp_ctype())
@property
def _as_parameter_(self):
"""
Overrides the ctypes semi-magic method
Enables `c_func(some_array.ctypes)`
"""
return self.data_as(ctypes.c_void_p)
# Numpy 1.21.0, 2021-05-18
def get_data(self):
"""Deprecated getter for the `_ctypes.data` property.
.. deprecated:: 1.21
"""
warnings.warn('"get_data" is deprecated. Use "data" instead',
DeprecationWarning, stacklevel=2)
return self.data
def get_shape(self):
"""Deprecated getter for the `_ctypes.shape` property.
.. deprecated:: 1.21
"""
warnings.warn('"get_shape" is deprecated. Use "shape" instead',
DeprecationWarning, stacklevel=2)
return self.shape
def get_strides(self):
"""Deprecated getter for the `_ctypes.strides` property.
.. deprecated:: 1.21
"""
warnings.warn('"get_strides" is deprecated. Use "strides" instead',
DeprecationWarning, stacklevel=2)
return self.strides
def get_as_parameter(self):
"""Deprecated getter for the `_ctypes._as_parameter_` property.
.. deprecated:: 1.21
"""
warnings.warn(
'"get_as_parameter" is deprecated. Use "_as_parameter_" instead',
DeprecationWarning, stacklevel=2,
)
return self._as_parameter_
def _newnames(datatype, order):
"""
Given a datatype and an order object, return a new names tuple, with the
order indicated
"""
oldnames = datatype.names
nameslist = list(oldnames)
if isinstance(order, str):
order = [order]
seen = set()
if isinstance(order, (list, tuple)):
for name in order:
try:
nameslist.remove(name)
except ValueError:
if name in seen:
raise ValueError(f"duplicate field name: {name}") from None
else:
raise ValueError(f"unknown field name: {name}") from None
seen.add(name)
return tuple(list(order) + nameslist)
raise ValueError(f"unsupported order value: {order}")
def _copy_fields(ary):
"""Return copy of structured array with padding between fields removed.
Parameters
----------
ary : ndarray
Structured array from which to remove padding bytes
Returns
-------
ary_copy : ndarray
Copy of ary with padding bytes removed
"""
dt = ary.dtype
copy_dtype = {'names': dt.names,
'formats': [dt.fields[name][0] for name in dt.names]}
return array(ary, dtype=copy_dtype, copy=True)
def _promote_fields(dt1, dt2):
""" Perform type promotion for two structured dtypes.
Parameters
----------
dt1 : structured dtype
First dtype.
dt2 : structured dtype
Second dtype.
Returns
-------
out : dtype
The promoted dtype
Notes
-----
If one of the inputs is aligned, the result will be. The titles of
both descriptors must match (point to the same field).
"""
# Both must be structured and have the same names in the same order
if (dt1.names is None or dt2.names is None) or dt1.names != dt2.names:
raise TypeError("invalid type promotion")
# if both are identical, we can (maybe!) just return the same dtype.
identical = dt1 is dt2
new_fields = []
for name in dt1.names:
field1 = dt1.fields[name]
field2 = dt2.fields[name]
new_descr = promote_types(field1[0], field2[0])
identical = identical and new_descr is field1[0]
# Check that the titles match (if given):
if field1[2:] != field2[2:]:
raise TypeError("invalid type promotion")
if len(field1) == 2:
new_fields.append((name, new_descr))
else:
new_fields.append(((field1[2], name), new_descr))
res = dtype(new_fields, align=dt1.isalignedstruct or dt2.isalignedstruct)
# Might as well preserve identity (and metadata) if the dtype is identical
# and the itemsize, offsets are also unmodified. This could probably be
# sped up, but also probably just be removed entirely.
if identical and res.itemsize == dt1.itemsize:
for name in dt1.names:
if dt1.fields[name][1] != res.fields[name][1]:
return res # the dtype changed.
return dt1
return res
def _getfield_is_safe(oldtype, newtype, offset):
""" Checks safety of getfield for object arrays.
As in _view_is_safe, we need to check that memory containing objects is not
reinterpreted as a non-object datatype and vice versa.
Parameters
----------
oldtype : data-type
Data type of the original ndarray.
newtype : data-type
Data type of the field being accessed by ndarray.getfield
offset : int
Offset of the field being accessed by ndarray.getfield
Raises
------
TypeError
If the field access is invalid
"""
if newtype.hasobject or oldtype.hasobject:
if offset == 0 and newtype == oldtype:
return
if oldtype.names is not None:
for name in oldtype.names:
if (oldtype.fields[name][1] == offset and
oldtype.fields[name][0] == newtype):
return
raise TypeError("Cannot get/set field of an object array")
return
def _view_is_safe(oldtype, newtype):
""" Checks safety of a view involving object arrays, for example when
doing::
np.zeros(10, dtype=oldtype).view(newtype)
Parameters
----------
oldtype : data-type
Data type of original ndarray
newtype : data-type
Data type of the view
Raises
------
TypeError
If the new type is incompatible with the old type.
"""
# if the types are equivalent, there is no problem.
# for example: dtype((np.record, 'i4,i4')) == dtype((np.void, 'i4,i4'))
if oldtype == newtype:
return
if newtype.hasobject or oldtype.hasobject:
raise TypeError("Cannot change data-type for object array.")
return
# Given a string containing a PEP 3118 format specifier,
# construct a NumPy dtype
_pep3118_native_map = {
'?': '?',
'c': 'S1',
'b': 'b',
'B': 'B',
'h': 'h',
'H': 'H',
'i': 'i',
'I': 'I',
'l': 'l',
'L': 'L',
'q': 'q',
'Q': 'Q',
'e': 'e',
'f': 'f',
'd': 'd',
'g': 'g',
'Zf': 'F',
'Zd': 'D',
'Zg': 'G',
's': 'S',
'w': 'U',
'O': 'O',
'x': 'V', # padding
}
_pep3118_native_typechars = ''.join(_pep3118_native_map.keys())
_pep3118_standard_map = {
'?': '?',
'c': 'S1',
'b': 'b',
'B': 'B',
'h': 'i2',
'H': 'u2',
'i': 'i4',
'I': 'u4',
'l': 'i4',
'L': 'u4',
'q': 'i8',
'Q': 'u8',
'e': 'f2',
'f': 'f',
'd': 'd',
'Zf': 'F',
'Zd': 'D',
's': 'S',
'w': 'U',
'O': 'O',
'x': 'V', # padding
}
_pep3118_standard_typechars = ''.join(_pep3118_standard_map.keys())
_pep3118_unsupported_map = {
'u': 'UCS-2 strings',
'&': 'pointers',
't': 'bitfields',
'X': 'function pointers',
}
class _Stream:
def __init__(self, s):
self.s = s
self.byteorder = '@'
def advance(self, n):
res = self.s[:n]
self.s = self.s[n:]
return res
def consume(self, c):
if self.s[:len(c)] == c:
self.advance(len(c))
return True
return False
def consume_until(self, c):
if callable(c):
i = 0
while i < len(self.s) and not c(self.s[i]):
i = i + 1
return self.advance(i)
else:
i = self.s.index(c)
res = self.advance(i)
self.advance(len(c))
return res
@property
def next(self):
return self.s[0]
def __bool__(self):
return bool(self.s)
def _dtype_from_pep3118(spec):
stream = _Stream(spec)
dtype, align = __dtype_from_pep3118(stream, is_subdtype=False)
return dtype
def __dtype_from_pep3118(stream, is_subdtype):
field_spec = dict(
names=[],
formats=[],
offsets=[],
itemsize=0
)
offset = 0
common_alignment = 1
is_padding = False
# Parse spec
while stream:
value = None
# End of structure, bail out to upper level
if stream.consume('}'):
break
# Sub-arrays (1)
shape = None
if stream.consume('('):
shape = stream.consume_until(')')
shape = tuple(map(int, shape.split(',')))
# Byte order
if stream.next in ('@', '=', '<', '>', '^', '!'):
byteorder = stream.advance(1)
if byteorder == '!':
byteorder = '>'
stream.byteorder = byteorder
# Byte order characters also control native vs. standard type sizes
if stream.byteorder in ('@', '^'):
type_map = _pep3118_native_map
type_map_chars = _pep3118_native_typechars
else:
type_map = _pep3118_standard_map
type_map_chars = _pep3118_standard_typechars
# Item sizes
itemsize_str = stream.consume_until(lambda c: not c.isdigit())
if itemsize_str:
itemsize = int(itemsize_str)
else:
itemsize = 1
# Data types
is_padding = False
if stream.consume('T{'):
value, align = __dtype_from_pep3118(
stream, is_subdtype=True)
elif stream.next in type_map_chars:
if stream.next == 'Z':
typechar = stream.advance(2)
else:
typechar = stream.advance(1)
is_padding = (typechar == 'x')
dtypechar = type_map[typechar]
if dtypechar in 'USV':
dtypechar += '%d' % itemsize
itemsize = 1
numpy_byteorder = {'@': '=', '^': '='}.get(
stream.byteorder, stream.byteorder)
value = dtype(numpy_byteorder + dtypechar)
align = value.alignment
elif stream.next in _pep3118_unsupported_map:
desc = _pep3118_unsupported_map[stream.next]
raise NotImplementedError(
"Unrepresentable PEP 3118 data type {!r} ({})"
.format(stream.next, desc))
else:
raise ValueError("Unknown PEP 3118 data type specifier %r" % stream.s)
#
# Native alignment may require padding
#
# Here we assume that the presence of a '@' character implicitly implies
# that the start of the array is *already* aligned.
#
extra_offset = 0
if stream.byteorder == '@':
start_padding = (-offset) % align
intra_padding = (-value.itemsize) % align
offset += start_padding
if intra_padding != 0:
if itemsize > 1 or (shape is not None and _prod(shape) > 1):
# Inject internal padding to the end of the sub-item
value = _add_trailing_padding(value, intra_padding)
else:
# We can postpone the injection of internal padding,
# as the item appears at most once
extra_offset += intra_padding
# Update common alignment
common_alignment = _lcm(align, common_alignment)
# Convert itemsize to sub-array
if itemsize != 1:
value = dtype((value, (itemsize,)))
# Sub-arrays (2)
if shape is not None:
value = dtype((value, shape))
# Field name
if stream.consume(':'):
name = stream.consume_until(':')
else:
name = None
if not (is_padding and name is None):
if name is not None and name in field_spec['names']:
raise RuntimeError(f"Duplicate field name '{name}' in PEP3118 format")
field_spec['names'].append(name)
field_spec['formats'].append(value)
field_spec['offsets'].append(offset)
offset += value.itemsize
offset += extra_offset
field_spec['itemsize'] = offset
# extra final padding for aligned types
if stream.byteorder == '@':
field_spec['itemsize'] += (-offset) % common_alignment
# Check if this was a simple 1-item type, and unwrap it
if (field_spec['names'] == [None]
and field_spec['offsets'][0] == 0
and field_spec['itemsize'] == field_spec['formats'][0].itemsize
and not is_subdtype):
ret = field_spec['formats'][0]
else:
_fix_names(field_spec)
ret = dtype(field_spec)
# Finished
return ret, common_alignment
def _fix_names(field_spec):
""" Replace names which are None with the next unused f%d name """
names = field_spec['names']
for i, name in enumerate(names):
if name is not None:
continue
j = 0
while True:
name = f'f{j}'
if name not in names:
break
j = j + 1
names[i] = name
def _add_trailing_padding(value, padding):
"""Inject the specified number of padding bytes at the end of a dtype"""
if value.fields is None:
field_spec = dict(
names=['f0'],
formats=[value],
offsets=[0],
itemsize=value.itemsize
)
else:
fields = value.fields
names = value.names
field_spec = dict(
names=names,
formats=[fields[name][0] for name in names],
offsets=[fields[name][1] for name in names],
itemsize=value.itemsize
)
field_spec['itemsize'] += padding
return dtype(field_spec)
def _prod(a):
p = 1
for x in a:
p *= x
return p
def _gcd(a, b):
"""Calculate the greatest common divisor of a and b"""
while b:
a, b = b, a % b
return a
def _lcm(a, b):
return a // _gcd(a, b) * b
def array_ufunc_errmsg_formatter(dummy, ufunc, method, *inputs, **kwargs):
""" Format the error message for when __array_ufunc__ gives up. """
args_string = ', '.join(['{!r}'.format(arg) for arg in inputs] +
['{}={!r}'.format(k, v)
for k, v in kwargs.items()])
args = inputs + kwargs.get('out', ())
types_string = ', '.join(repr(type(arg).__name__) for arg in args)
return ('operand type(s) all returned NotImplemented from '
'__array_ufunc__({!r}, {!r}, {}): {}'
.format(ufunc, method, args_string, types_string))
def array_function_errmsg_formatter(public_api, types):
""" Format the error message for when __array_ufunc__ gives up. """
func_name = '{}.{}'.format(public_api.__module__, public_api.__name__)
return ("no implementation found for '{}' on types that implement "
'__array_function__: {}'.format(func_name, list(types)))
def _ufunc_doc_signature_formatter(ufunc):
"""
Builds a signature string which resembles PEP 457
This is used to construct the first line of the docstring
"""
# input arguments are simple
if ufunc.nin == 1:
in_args = 'x'
else:
in_args = ', '.join(f'x{i+1}' for i in range(ufunc.nin))
# output arguments are both keyword or positional
if ufunc.nout == 0:
out_args = ', /, out=()'
elif ufunc.nout == 1:
out_args = ', /, out=None'
else:
out_args = '[, {positional}], / [, out={default}]'.format(
positional=', '.join(
'out{}'.format(i+1) for i in range(ufunc.nout)),
default=repr((None,)*ufunc.nout)
)
# keyword only args depend on whether this is a gufunc
kwargs = (
", casting='same_kind'"
", order='K'"
", dtype=None"
", subok=True"
)
# NOTE: gufuncs may or may not support the `axis` parameter
if ufunc.signature is None:
kwargs = f", where=True{kwargs}[, signature, extobj]"
else:
kwargs += "[, signature, extobj, axes, axis]"
# join all the parts together
return '{name}({in_args}{out_args}, *{kwargs})'.format(
name=ufunc.__name__,
in_args=in_args,
out_args=out_args,
kwargs=kwargs
)
def npy_ctypes_check(cls):
# determine if a class comes from ctypes, in order to work around
# a bug in the buffer protocol for those objects, bpo-10746
try:
# ctypes class are new-style, so have an __mro__. This probably fails
# for ctypes classes with multiple inheritance.
if IS_PYPY:
# (..., _ctypes.basics._CData, Bufferable, object)
ctype_base = cls.__mro__[-3]
else:
# # (..., _ctypes._CData, object)
ctype_base = cls.__mro__[-2]
# right now, they're part of the _ctypes module
return '_ctypes' in ctype_base.__module__
except Exception:
return False
| 28,220 | Python | 29.215203 | 86 | 0.548689 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/umath_tests.py | """
Shim for _umath_tests to allow a deprecation period for the new name.
"""
import warnings
# 2018-04-04, numpy 1.15.0
warnings.warn(("numpy.core.umath_tests is an internal NumPy "
"module and should not be imported. It will "
"be removed in a future NumPy release."),
category=DeprecationWarning, stacklevel=2)
from ._umath_tests import *
| 389 | Python | 26.857141 | 69 | 0.655527 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/umath.py | """
Create the numpy.core.umath namespace for backward compatibility. In v1.16
the multiarray and umath c-extension modules were merged into a single
_multiarray_umath extension module. So we replicate the old namespace
by importing from the extension module.
"""
from . import _multiarray_umath
from ._multiarray_umath import * # noqa: F403
# These imports are needed for backward compatibility,
# do not change them. issue gh-11862
# _ones_like is semi-public, on purpose not added to __all__
from ._multiarray_umath import _UFUNC_API, _add_newdoc_ufunc, _ones_like
__all__ = [
'_UFUNC_API', 'ERR_CALL', 'ERR_DEFAULT', 'ERR_IGNORE', 'ERR_LOG',
'ERR_PRINT', 'ERR_RAISE', 'ERR_WARN', 'FLOATING_POINT_SUPPORT',
'FPE_DIVIDEBYZERO', 'FPE_INVALID', 'FPE_OVERFLOW', 'FPE_UNDERFLOW', 'NAN',
'NINF', 'NZERO', 'PINF', 'PZERO', 'SHIFT_DIVIDEBYZERO', 'SHIFT_INVALID',
'SHIFT_OVERFLOW', 'SHIFT_UNDERFLOW', 'UFUNC_BUFSIZE_DEFAULT',
'UFUNC_PYVALS_NAME', '_add_newdoc_ufunc', 'absolute', 'add',
'arccos', 'arccosh', 'arcsin', 'arcsinh', 'arctan', 'arctan2', 'arctanh',
'bitwise_and', 'bitwise_or', 'bitwise_xor', 'cbrt', 'ceil', 'conj',
'conjugate', 'copysign', 'cos', 'cosh', 'deg2rad', 'degrees', 'divide',
'divmod', 'e', 'equal', 'euler_gamma', 'exp', 'exp2', 'expm1', 'fabs',
'floor', 'floor_divide', 'float_power', 'fmax', 'fmin', 'fmod', 'frexp',
'frompyfunc', 'gcd', 'geterrobj', 'greater', 'greater_equal', 'heaviside',
'hypot', 'invert', 'isfinite', 'isinf', 'isnan', 'isnat', 'lcm', 'ldexp',
'left_shift', 'less', 'less_equal', 'log', 'log10', 'log1p', 'log2',
'logaddexp', 'logaddexp2', 'logical_and', 'logical_not', 'logical_or',
'logical_xor', 'maximum', 'minimum', 'mod', 'modf', 'multiply', 'negative',
'nextafter', 'not_equal', 'pi', 'positive', 'power', 'rad2deg', 'radians',
'reciprocal', 'remainder', 'right_shift', 'rint', 'seterrobj', 'sign',
'signbit', 'sin', 'sinh', 'spacing', 'sqrt', 'square', 'subtract', 'tan',
'tanh', 'true_divide', 'trunc']
| 2,040 | Python | 54.162161 | 79 | 0.637255 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/overrides.py | """Implementation of __array_function__ overrides from NEP-18."""
import collections
import functools
import os
from numpy.core._multiarray_umath import (
add_docstring, implement_array_function, _get_implementing_args)
from numpy.compat._inspect import getargspec
ARRAY_FUNCTION_ENABLED = bool(
int(os.environ.get('NUMPY_EXPERIMENTAL_ARRAY_FUNCTION', 1)))
array_function_like_doc = (
"""like : array_like, optional
Reference object to allow the creation of arrays which are not
NumPy arrays. If an array-like passed in as ``like`` supports
the ``__array_function__`` protocol, the result will be defined
by it. In this case, it ensures the creation of an array object
compatible with that passed in via this argument."""
)
def set_array_function_like_doc(public_api):
if public_api.__doc__ is not None:
public_api.__doc__ = public_api.__doc__.replace(
"${ARRAY_FUNCTION_LIKE}",
array_function_like_doc,
)
return public_api
add_docstring(
implement_array_function,
"""
Implement a function with checks for __array_function__ overrides.
All arguments are required, and can only be passed by position.
Parameters
----------
implementation : function
Function that implements the operation on NumPy array without
overrides when called like ``implementation(*args, **kwargs)``.
public_api : function
Function exposed by NumPy's public API originally called like
``public_api(*args, **kwargs)`` on which arguments are now being
checked.
relevant_args : iterable
Iterable of arguments to check for __array_function__ methods.
args : tuple
Arbitrary positional arguments originally passed into ``public_api``.
kwargs : dict
Arbitrary keyword arguments originally passed into ``public_api``.
Returns
-------
Result from calling ``implementation()`` or an ``__array_function__``
method, as appropriate.
Raises
------
TypeError : if no implementation is found.
""")
# exposed for testing purposes; used internally by implement_array_function
add_docstring(
_get_implementing_args,
"""
Collect arguments on which to call __array_function__.
Parameters
----------
relevant_args : iterable of array-like
Iterable of possibly array-like arguments to check for
__array_function__ methods.
Returns
-------
Sequence of arguments with __array_function__ methods, in the order in
which they should be called.
""")
ArgSpec = collections.namedtuple('ArgSpec', 'args varargs keywords defaults')
def verify_matching_signatures(implementation, dispatcher):
"""Verify that a dispatcher function has the right signature."""
implementation_spec = ArgSpec(*getargspec(implementation))
dispatcher_spec = ArgSpec(*getargspec(dispatcher))
if (implementation_spec.args != dispatcher_spec.args or
implementation_spec.varargs != dispatcher_spec.varargs or
implementation_spec.keywords != dispatcher_spec.keywords or
(bool(implementation_spec.defaults) !=
bool(dispatcher_spec.defaults)) or
(implementation_spec.defaults is not None and
len(implementation_spec.defaults) !=
len(dispatcher_spec.defaults))):
raise RuntimeError('implementation and dispatcher for %s have '
'different function signatures' % implementation)
if implementation_spec.defaults is not None:
if dispatcher_spec.defaults != (None,) * len(dispatcher_spec.defaults):
raise RuntimeError('dispatcher functions can only use None for '
'default argument values')
def set_module(module):
"""Decorator for overriding __module__ on a function or class.
Example usage::
@set_module('numpy')
def example():
pass
assert example.__module__ == 'numpy'
"""
def decorator(func):
if module is not None:
func.__module__ = module
return func
return decorator
def array_function_dispatch(dispatcher, module=None, verify=True,
docs_from_dispatcher=False):
"""Decorator for adding dispatch with the __array_function__ protocol.
See NEP-18 for example usage.
Parameters
----------
dispatcher : callable
Function that when called like ``dispatcher(*args, **kwargs)`` with
arguments from the NumPy function call returns an iterable of
array-like arguments to check for ``__array_function__``.
module : str, optional
__module__ attribute to set on new function, e.g., ``module='numpy'``.
By default, module is copied from the decorated function.
verify : bool, optional
If True, verify the that the signature of the dispatcher and decorated
function signatures match exactly: all required and optional arguments
should appear in order with the same names, but the default values for
all optional arguments should be ``None``. Only disable verification
if the dispatcher's signature needs to deviate for some particular
reason, e.g., because the function has a signature like
``func(*args, **kwargs)``.
docs_from_dispatcher : bool, optional
If True, copy docs from the dispatcher function onto the dispatched
function, rather than from the implementation. This is useful for
functions defined in C, which otherwise don't have docstrings.
Returns
-------
Function suitable for decorating the implementation of a NumPy function.
"""
if not ARRAY_FUNCTION_ENABLED:
def decorator(implementation):
if docs_from_dispatcher:
add_docstring(implementation, dispatcher.__doc__)
if module is not None:
implementation.__module__ = module
return implementation
return decorator
def decorator(implementation):
if verify:
verify_matching_signatures(implementation, dispatcher)
if docs_from_dispatcher:
add_docstring(implementation, dispatcher.__doc__)
@functools.wraps(implementation)
def public_api(*args, **kwargs):
relevant_args = dispatcher(*args, **kwargs)
return implement_array_function(
implementation, public_api, relevant_args, args, kwargs)
public_api.__code__ = public_api.__code__.replace(
co_name=implementation.__name__,
co_filename='<__array_function__ internals>')
if module is not None:
public_api.__module__ = module
public_api._implementation = implementation
return public_api
return decorator
def array_function_from_dispatcher(
implementation, module=None, verify=True, docs_from_dispatcher=True):
"""Like array_function_dispatcher, but with function arguments flipped."""
def decorator(dispatcher):
return array_function_dispatch(
dispatcher, module, verify=verify,
docs_from_dispatcher=docs_from_dispatcher)(implementation)
return decorator
| 7,297 | Python | 34.6 | 79 | 0.651638 |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_ufunc_config.py | """
Functions for changing global ufunc configuration
This provides helpers which wrap `umath.geterrobj` and `umath.seterrobj`
"""
import collections.abc
import contextlib
from .overrides import set_module
from .umath import (
UFUNC_BUFSIZE_DEFAULT,
ERR_IGNORE, ERR_WARN, ERR_RAISE, ERR_CALL, ERR_PRINT, ERR_LOG, ERR_DEFAULT,
SHIFT_DIVIDEBYZERO, SHIFT_OVERFLOW, SHIFT_UNDERFLOW, SHIFT_INVALID,
)
from . import umath
__all__ = [
"seterr", "geterr", "setbufsize", "getbufsize", "seterrcall", "geterrcall",
"errstate",
]
_errdict = {"ignore": ERR_IGNORE,
"warn": ERR_WARN,
"raise": ERR_RAISE,
"call": ERR_CALL,
"print": ERR_PRINT,
"log": ERR_LOG}
_errdict_rev = {value: key for key, value in _errdict.items()}
@set_module('numpy')
def seterr(all=None, divide=None, over=None, under=None, invalid=None):
"""
Set how floating-point errors are handled.
Note that operations on integer scalar types (such as `int16`) are
handled like floating point, and are affected by these settings.
Parameters
----------
all : {'ignore', 'warn', 'raise', 'call', 'print', 'log'}, optional
Set treatment for all types of floating-point errors at once:
- ignore: Take no action when the exception occurs.
- warn: Print a `RuntimeWarning` (via the Python `warnings` module).
- raise: Raise a `FloatingPointError`.
- call: Call a function specified using the `seterrcall` function.
- print: Print a warning directly to ``stdout``.
- log: Record error in a Log object specified by `seterrcall`.
The default is not to change the current behavior.
divide : {'ignore', 'warn', 'raise', 'call', 'print', 'log'}, optional
Treatment for division by zero.
over : {'ignore', 'warn', 'raise', 'call', 'print', 'log'}, optional
Treatment for floating-point overflow.
under : {'ignore', 'warn', 'raise', 'call', 'print', 'log'}, optional
Treatment for floating-point underflow.
invalid : {'ignore', 'warn', 'raise', 'call', 'print', 'log'}, optional
Treatment for invalid floating-point operation.
Returns
-------
old_settings : dict
Dictionary containing the old settings.
See also
--------
seterrcall : Set a callback function for the 'call' mode.
geterr, geterrcall, errstate
Notes
-----
The floating-point exceptions are defined in the IEEE 754 standard [1]_:
- Division by zero: infinite result obtained from finite numbers.
- Overflow: result too large to be expressed.
- Underflow: result so close to zero that some precision
was lost.
- Invalid operation: result is not an expressible number, typically
indicates that a NaN was produced.
.. [1] https://en.wikipedia.org/wiki/IEEE_754
Examples
--------
>>> old_settings = np.seterr(all='ignore') #seterr to known value
>>> np.seterr(over='raise')
{'divide': 'ignore', 'over': 'ignore', 'under': 'ignore', 'invalid': 'ignore'}
>>> np.seterr(**old_settings) # reset to default
{'divide': 'ignore', 'over': 'raise', 'under': 'ignore', 'invalid': 'ignore'}
>>> np.int16(32000) * np.int16(3)
30464
>>> old_settings = np.seterr(all='warn', over='raise')
>>> np.int16(32000) * np.int16(3)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
FloatingPointError: overflow encountered in short_scalars
>>> old_settings = np.seterr(all='print')
>>> np.geterr()
{'divide': 'print', 'over': 'print', 'under': 'print', 'invalid': 'print'}
>>> np.int16(32000) * np.int16(3)
30464
"""
pyvals = umath.geterrobj()
old = geterr()
if divide is None:
divide = all or old['divide']
if over is None:
over = all or old['over']
if under is None:
under = all or old['under']
if invalid is None:
invalid = all or old['invalid']
maskvalue = ((_errdict[divide] << SHIFT_DIVIDEBYZERO) +
(_errdict[over] << SHIFT_OVERFLOW) +
(_errdict[under] << SHIFT_UNDERFLOW) +
(_errdict[invalid] << SHIFT_INVALID))
pyvals[1] = maskvalue
umath.seterrobj(pyvals)
return old
@set_module('numpy')
def geterr():
"""
Get the current way of handling floating-point errors.
Returns
-------
res : dict
A dictionary with keys "divide", "over", "under", and "invalid",
whose values are from the strings "ignore", "print", "log", "warn",
"raise", and "call". The keys represent possible floating-point
exceptions, and the values define how these exceptions are handled.
See Also
--------
geterrcall, seterr, seterrcall
Notes
-----
For complete documentation of the types of floating-point exceptions and
treatment options, see `seterr`.
Examples
--------
>>> np.geterr()
{'divide': 'warn', 'over': 'warn', 'under': 'ignore', 'invalid': 'warn'}
>>> np.arange(3.) / np.arange(3.)
array([nan, 1., 1.])
>>> oldsettings = np.seterr(all='warn', over='raise')
>>> np.geterr()
{'divide': 'warn', 'over': 'raise', 'under': 'warn', 'invalid': 'warn'}
>>> np.arange(3.) / np.arange(3.)
array([nan, 1., 1.])
"""
maskvalue = umath.geterrobj()[1]
mask = 7
res = {}
val = (maskvalue >> SHIFT_DIVIDEBYZERO) & mask
res['divide'] = _errdict_rev[val]
val = (maskvalue >> SHIFT_OVERFLOW) & mask
res['over'] = _errdict_rev[val]
val = (maskvalue >> SHIFT_UNDERFLOW) & mask
res['under'] = _errdict_rev[val]
val = (maskvalue >> SHIFT_INVALID) & mask
res['invalid'] = _errdict_rev[val]
return res
@set_module('numpy')
def setbufsize(size):
"""
Set the size of the buffer used in ufuncs.
Parameters
----------
size : int
Size of buffer.
"""
if size > 10e6:
raise ValueError("Buffer size, %s, is too big." % size)
if size < 5:
raise ValueError("Buffer size, %s, is too small." % size)
if size % 16 != 0:
raise ValueError("Buffer size, %s, is not a multiple of 16." % size)
pyvals = umath.geterrobj()
old = getbufsize()
pyvals[0] = size
umath.seterrobj(pyvals)
return old
@set_module('numpy')
def getbufsize():
"""
Return the size of the buffer used in ufuncs.
Returns
-------
getbufsize : int
Size of ufunc buffer in bytes.
"""
return umath.geterrobj()[0]
@set_module('numpy')
def seterrcall(func):
"""
Set the floating-point error callback function or log object.
There are two ways to capture floating-point error messages. The first
is to set the error-handler to 'call', using `seterr`. Then, set
the function to call using this function.
The second is to set the error-handler to 'log', using `seterr`.
Floating-point errors then trigger a call to the 'write' method of
the provided object.
Parameters
----------
func : callable f(err, flag) or object with write method
Function to call upon floating-point errors ('call'-mode) or
object whose 'write' method is used to log such message ('log'-mode).
The call function takes two arguments. The first is a string describing
the type of error (such as "divide by zero", "overflow", "underflow",
or "invalid value"), and the second is the status flag. The flag is a
byte, whose four least-significant bits indicate the type of error, one
of "divide", "over", "under", "invalid"::
[0 0 0 0 divide over under invalid]
In other words, ``flags = divide + 2*over + 4*under + 8*invalid``.
If an object is provided, its write method should take one argument,
a string.
Returns
-------
h : callable, log instance or None
The old error handler.
See Also
--------
seterr, geterr, geterrcall
Examples
--------
Callback upon error:
>>> def err_handler(type, flag):
... print("Floating point error (%s), with flag %s" % (type, flag))
...
>>> saved_handler = np.seterrcall(err_handler)
>>> save_err = np.seterr(all='call')
>>> np.array([1, 2, 3]) / 0.0
Floating point error (divide by zero), with flag 1
array([inf, inf, inf])
>>> np.seterrcall(saved_handler)
<function err_handler at 0x...>
>>> np.seterr(**save_err)
{'divide': 'call', 'over': 'call', 'under': 'call', 'invalid': 'call'}
Log error message:
>>> class Log:
... def write(self, msg):
... print("LOG: %s" % msg)
...
>>> log = Log()
>>> saved_handler = np.seterrcall(log)
>>> save_err = np.seterr(all='log')
>>> np.array([1, 2, 3]) / 0.0
LOG: Warning: divide by zero encountered in divide
array([inf, inf, inf])
>>> np.seterrcall(saved_handler)
<numpy.core.numeric.Log object at 0x...>
>>> np.seterr(**save_err)
{'divide': 'log', 'over': 'log', 'under': 'log', 'invalid': 'log'}
"""
if func is not None and not isinstance(func, collections.abc.Callable):
if (not hasattr(func, 'write') or
not isinstance(func.write, collections.abc.Callable)):
raise ValueError("Only callable can be used as callback")
pyvals = umath.geterrobj()
old = geterrcall()
pyvals[2] = func
umath.seterrobj(pyvals)
return old
@set_module('numpy')
def geterrcall():
"""
Return the current callback function used on floating-point errors.
When the error handling for a floating-point error (one of "divide",
"over", "under", or "invalid") is set to 'call' or 'log', the function
that is called or the log instance that is written to is returned by
`geterrcall`. This function or log instance has been set with
`seterrcall`.
Returns
-------
errobj : callable, log instance or None
The current error handler. If no handler was set through `seterrcall`,
``None`` is returned.
See Also
--------
seterrcall, seterr, geterr
Notes
-----
For complete documentation of the types of floating-point exceptions and
treatment options, see `seterr`.
Examples
--------
>>> np.geterrcall() # we did not yet set a handler, returns None
>>> oldsettings = np.seterr(all='call')
>>> def err_handler(type, flag):
... print("Floating point error (%s), with flag %s" % (type, flag))
>>> oldhandler = np.seterrcall(err_handler)
>>> np.array([1, 2, 3]) / 0.0
Floating point error (divide by zero), with flag 1
array([inf, inf, inf])
>>> cur_handler = np.geterrcall()
>>> cur_handler is err_handler
True
"""
return umath.geterrobj()[2]
class _unspecified:
pass
_Unspecified = _unspecified()
@set_module('numpy')
class errstate(contextlib.ContextDecorator):
"""
errstate(**kwargs)
Context manager for floating-point error handling.
Using an instance of `errstate` as a context manager allows statements in
that context to execute with a known error handling behavior. Upon entering
the context the error handling is set with `seterr` and `seterrcall`, and
upon exiting it is reset to what it was before.
.. versionchanged:: 1.17.0
`errstate` is also usable as a function decorator, saving
a level of indentation if an entire function is wrapped.
See :py:class:`contextlib.ContextDecorator` for more information.
Parameters
----------
kwargs : {divide, over, under, invalid}
Keyword arguments. The valid keywords are the possible floating-point
exceptions. Each keyword should have a string value that defines the
treatment for the particular error. Possible values are
{'ignore', 'warn', 'raise', 'call', 'print', 'log'}.
See Also
--------
seterr, geterr, seterrcall, geterrcall
Notes
-----
For complete documentation of the types of floating-point exceptions and
treatment options, see `seterr`.
Examples
--------
>>> olderr = np.seterr(all='ignore') # Set error handling to known state.
>>> np.arange(3) / 0.
array([nan, inf, inf])
>>> with np.errstate(divide='warn'):
... np.arange(3) / 0.
array([nan, inf, inf])
>>> np.sqrt(-1)
nan
>>> with np.errstate(invalid='raise'):
... np.sqrt(-1)
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
FloatingPointError: invalid value encountered in sqrt
Outside the context the error handling behavior has not changed:
>>> np.geterr()
{'divide': 'ignore', 'over': 'ignore', 'under': 'ignore', 'invalid': 'ignore'}
"""
def __init__(self, *, call=_Unspecified, **kwargs):
self.call = call
self.kwargs = kwargs
def __enter__(self):
self.oldstate = seterr(**self.kwargs)
if self.call is not _Unspecified:
self.oldcall = seterrcall(self.call)
def __exit__(self, *exc_info):
seterr(**self.oldstate)
if self.call is not _Unspecified:
seterrcall(self.oldcall)
def _setdef():
defval = [UFUNC_BUFSIZE_DEFAULT, ERR_DEFAULT, None]
umath.seterrobj(defval)
# set the default values
_setdef()
| 13,382 | Python | 28.939597 | 82 | 0.607831 |
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