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Configure Configuration instance.
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package.
Parameters
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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
Nri r z0No configuration returned, assuming unavailable.z
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a 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 (, )
* 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::
/
fun/
foo.dat
bar/
car.dat
sun/
foo.dat
bar/
car.dat
gun/
foo.dat
car.dat
Nc > g | ]} |f S rF ) add_data_dir)rR r r r? s r
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Parameters
----------
files : sequence
Argument(s) can be either
* 2-sequence (,)
* 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::
/
foo.dat
fun/
gun.dat
nun/
pun.dat
sun.dat
bar/
car.dat
can.dat
where 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').
r} Nr r r| Fr )rW add_data_filesr. r/ r r r r rX ry r r r r= rx r r popr rz rI r r )r? r r2 r filepatr r ry r
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J ##QJ/// F"1%%99tQL'9'999%$$&& ; JJ J27<<(// directory. If an item of files
is a tuple, then its first argument specifies the actual installation
location relative to the path.
Parameters
----------
files : str or seq
Argument(s) can be either:
* 2-sequence (,)
* path(s) to header file(s) where python includedir suffix will
default to package name.
c H g | ] } j |f S rF )r r< )rR r rP r? s r
r z-Configuration.add_headers..~ s+ JJJA A//JJJrA ri c J g | ] } d |f S r )r )rR r rP ry s r
r z-Configuration.add_headers.. s- KKK! a! --KKKrA r} N) r/ r r5 tuplerp rW r r rI rP r )r? r rf rP ry s ` @@r
add_headerszConfiguration.add_headersi s $ L LD
LJJJJJD9I9IJJJJJ!$
66 0#d))q..#DJJ///KKKKKtzz$q'7J7JKKKKK$$&& |# ! L ( ( ( ( ( L ( ( ( ( (rA c \ | dd }t || j | S )a 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.
r T)r r )r` r1 r )r? r kwsr s r
r zConfiguration.paths s> #ww'=t D D e#'?+?A A A ArA c | D ](}|| }|dv r| | }|||< )d S )N)rC r r library_dirs module_dirs
extra_objects)r r )r? kwkr new_vs r
_fix_paths_dictz Configuration._fix_paths_dict sW A1A 5 5 5
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1 rA c p t j | }t | j | |d< ||d< d|v ra|d }|d= t |t r|g}|D ];}t |t sJ t | t
|fi | <| | | dg }g }g |d< |D ]d} t | t r| | d d| v r|
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< d dlm} |di |}| j | | }|| d|z |S )a 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.
r< rC
extra_infor r} @Nri r c g | ]
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r z/Configuration.add_extension.. s C C Cqad C C CrA __OF__r r ExtensionzTdistutils distribution has been initialized, it may be too late to add an extension rF ) r r* r< r5 r r r r+ r` r rx rX ry r r- r rc r r r r r r rV r2 r rI rn )r? r< rC r( ext_argsr- r r libnameslibnamelnamelpathrf r llnamer2 r rf s r
add_extensionzConfiguration.add_extension s ` 9R==#DIt44 % 8 # #!,/J &*d++
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1$$WQZ000 g~~ &}}S! 4 4 udou(E(EFF7=='' ++D%;< , > >A!!]33 ' HHJJ C CAEE+r,B,B C C C " "!"1!5!5a!8!U?? EE&$ / / / ' 5 51 5 5 5 !E + OOG $ $ $ $ (8K+@ @ or!B!B B ! 322222i##(## $$$$$&& II AAEF
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Add library to configuration.
Parameters
----------
name : str
Name of the extension.
sources : sequence
List of the sources. The list of sources may contain functions
(called source generators) which must take an extension instance
and a build directory as inputs and return a source file or list of
source files or None. If None is returned then no sources are
generated. If the Extension instance has no sources after
processing all source generators, then no extension module is
built.
build_info : dict, optional
The following keys are allowed:
* depends
* macros
* include_dirs
* extra_compiler_args
* extra_f77_compile_args
* extra_f90_compile_args
* f2py_options
* language
NzQdistutils distribution has been initialized, it may be too late to add a library ) _add_libraryrI rn )r? r< rC r= rf s r
add_libraryzConfiguration.add_library sp :
$z:::$$&& II >?CD
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not use directlyrC r N)r r+ r r r? r< rC install_dirr= s r
r; zConfiguration._add_library- sk Yz**
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tZ 011111rA c |si }t j | j | }| |||| | j t ||| dS )aQ
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).
N)rX ry rz r r; r r r: r> s r
add_installed_libraryz#Configuration.add_installed_library= sm X Jgll4#4kBB $jAAA ''tZ(U(UVVVVVrA c |i }t j | j | }| j | j v r*| j | j |||f dS |||fg| j | j < dS )a
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
N)rX ry rz r r< r r )r? templater?
subst_dicts r
add_npy_pkg_configz Configuration.add_npy_pkg_configp s ~ J7<< 18<< 91 1 1 %di 0 7 7;9
6>{5 4 D %di 0 0 0rA c | | }| }|*|j g |_ |j | dS | j | dS )zAdd scripts to configuration.
Add the sequence of files to the beginning of the scripts list.
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N)r rI r r )r? r r rf s r
add_scriptszConfiguration.add_scripts ss **U##$$&& |# ! L ( ( ( ( ( L ( ( ( ( (rA c 0 | j D ];}t | | }| | |g <| j D ];}t | | }| | |i <| j | j z | j z }| D ]}||vrt | |d }|r
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Returns the numpy.distutils config command instance.
r r PATHr ) r ensure_finalized dump_sourcenoisyrX r_ r` pathseprz )r? cmdold_pathry s r
get_config_cmdz Configuration.get_config_cmd st h :>>&)) &:??C?33D!%BJv
rA c V t d }| |j S )zh
Return a path to a temporary directory where temporary files should be
placed.
rL )r rS
build_temp)r? rW s r
get_build_temp_dirz Configuration.get_build_temp_dir s+
g ~ rA c ` d}| }| |d }|S )aS 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).
/
subroutine simple
end
rA langrY try_compiler? simple_fortran_subroutine
config_cmdflags r
have_f77czConfiguration.have_f77c( ; % ! ((**
%%&?e%LL rA c ` d}| }| |d }|S )aR 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)
r^ r@ r_ ra rc s r
have_f90czConfiguration.have_f90c; rh rA c @ t | r#|\ }}t || j | j dS ddlm} t
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r Nz__version__.pyr r z _version.pyz
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%<%<%>%> ? @ @ @ @ @rA c t j d j t j sdS fd} d | f dS )a 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
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If __hg_version__.py existed before, nothing is done.
This is intended for working with source directories that are
in an Mercurial repository.
r Nc ^ t j skt } dd| d t d 5 }| d| z d d d n # 1 swxY w Y j ffd }t j | S )Nr r rJ r r c rnt j | |d| z n# t $ r Y nw xY wt j | dz |d| z dz d S # t $ r Y d S w xY wd S r r r s r
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__config__c T | j | j |t f dS )zGenerate package __config__.py file containing system_info
information used during building the package.
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make_config_pyz Configuration.make_config_py< s*
41C DEEEEErA c H ddl m}m} i }|D ]} ||fi || |S )zGet resources information.
Return information (from system_info.get_info) for all of the names in
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r4 zConfiguration.get_infoF sY 76666666 1 1A K 0 0HHQKK 0 0 0 0rA )NNNNr} r )r} )NNr} )NFr NN)T)r )-rB rC rD r r r numpy_include_dirsr@ r r rn r rI r r r r r r r r r r! r r+ r9 r< r; rA rE rG r rP rY r\ rg rj rn r} r r r r r r4 rF rA r
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rA r c | |vr=dd l }|j j }|ddlm} |d | | }||| < || S )Nr )DistutilsInternalErrorz+setup distribution instance not initialized)distutils.corecore_setup_distributiondistutils.errorsr rb )cmdname_cacher rf r rW s r
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r r _ s> 3AAA6L / **,,. rA c t j d } | | S t j d }t j t j |j ddd } | S )a 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.
NPY_PKG_CONFIG_PATHNr r r znpy-pkg-config)
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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
r ) read_config) numpy.distutils.npy_pkg_configr r r )pkgnamer r s r
r5 r5 | sY < ;::::: # O%%&&&& !!" ;w % %%rA c . ddl m} t | | } || } || D ] \ }}|| | !|d |d< |d= |d= |S )a9
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)
r ) parse_flagsr r ignored)r r r5 cflagslibsr r )r r r pkg_infor r) r s r
r4 r4 s Z ;:::::GT**H ;x(( ) )D HMMOO,,2244 1 Qq !ND X Y KrA c @ dd l } | j dS # t $ r Y dS w xY w)Nr TF)builtins__NUMPY_SETUP__rZ )r s r
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config['py_modules'].append((packagename, '__config__',generate_config_py))
r )r )mkpathr z'# This file is generated by numpy's %s
zH# It contains system_info results at the time of building this package.
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import sys
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os.add_dll_directory(extra_dll_dir)
rI rX a}
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)))
N)numpy.distutils.system_infor distutils.dir_utilr rX ry r r r r r argvtextwrapdedent
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