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W n eyr   dZ
Y n0 d)dd„Zdd„ Ze	j dddg¡d	d
„ ƒZdd„ Zdd„ Zdd„ Ze	jje
du dd�dd„ ƒZdd„ dD ƒZg d¢Zdd„ dD ƒZdd„ Zg d¢Zdd„ Zg d ¢Zd!d"„ Zd#d$„ Ze	jje  d%¡dud&d�d'd(„ ƒZ!dS )*é    Nc                 C   s`   |du r| j }i }t| ƒD ]@}t| |ƒ}t|dƒrt|dƒr|j|kr|jd |j  ||< q|S )zEReturns a mapping of all objects with the wrong __module__ attribute.NÚ
__module__Ú__name__Ú.)r   ÚdirÚgetattrÚhasattrr   )ÚmoduleÚmodule_nameÚresultsÚnameÚitem© r   ú[/home/ja/django-apps/lartica_env/lib/python3.9/site-packages/numpy/tests/test_public_api.pyÚ	check_dir   s    
ÿr   c                  C   sH   dddddddddd	d
dddddddddœ} | }t tƒ}||ksDJ ‚d S )Nz,numpy.testing._private.nosetester.NoseTesterz.numpy.core._multiarray_umath._add_newdoc_ufuncz*numpy.core._multiarray_umath.add_docstringz#numpy.core.function_base.add_newdocznumpy.lib.utils.byte_boundsz/numpy.core._multiarray_umath.compare_chararraysznumpy.lib.utils.deprecatez"numpy.lib.utils.deprecate_with_docznumpy.lib.function_base.dispz2numpy.core._multiarray_umath._fastCopyAndTransposez#numpy.lib.shape_base.get_array_wrapznumpy.lib.utils.get_includeznumpy.lib.npyio.recfromcsvznumpy.lib.npyio.recfromtxtznumpy.lib.utils.safe_evalz)numpy.core.arrayprint.set_string_functionznumpy.__config__.showznumpy.lib.utils.who)ÚTesterZ_add_newdoc_ufuncZadd_docstringZ
add_newdocZadd_newdoc_ufuncZbyte_boundsZcompare_chararraysZ	deprecateZdeprecate_with_docZdispZfastCopyAndTransposeZget_array_wrapZget_includeZ
recfromcsvZ
recfromtxtZ	safe_evalZset_string_functionZshow_configZwho)r   Únp)ZundocumentedZ	allowlistÚbad_resultsr   r   r   Útest_numpy_namespace    s.    ír   r   Útestingr   c                 C   s6   t jdd|  f}t |¡}|r"J ‚| ttƒv s2J ‚dS )a¶  Make sure we can actually use the modules we lazy load.

    While not exported as part of the public API, it was accessible.  With the
    use of __getattr__ and __dir__, this isn't always true It can happen that
    an infinite recursion may happen.

    This is the only way I found that would force the failure to appear on the
    badly implemented code.

    We also test for the presence of the lazily imported modules in dir

    z-czimport numpy; numpy.N)ÚsysÚ
executableÚ
subprocessÚcheck_outputr   r   )r   ZexeÚresultr   r   r   Útest_import_lazy_import@   s    
r   c                   C   s$   t ttƒƒt tttƒƒƒks J ‚dS )zWAssert that output of dir has only one "testing/tester"
    attribute without duplicateN)Úlenr   r   Úsetr   r   r   r   Útest_dir_testingV   s    r   c                  C   s   t tjƒ} | i ksJ ‚d S ©N)r   r   Úlinalg©r   r   r   r   Útest_numpy_linalg\   s    
r!   c                  C   s   t tjƒ} | i ksJ ‚d S r   )r   r   Úfftr    r   r   r   Útest_numpy_ffta   s    
r#   z#ctypes not available in this python)Úreasonc                  C   s0   t  tjjj¡} t| dd ƒ}|d u s,J dƒ‚d S )NZtest_not_exportedzG'test_not_exported' is mistakenly exported, NPY_NO_EXPORT does not work)ÚctypesÚCDLLr   ÚcoreZ_multiarray_testsÚ__file__r   )ÚcdllÚfr   r   r   Útest_NPY_NO_EXPORTf   s    r+   c                 C   s   g | ]}d | ‘qS ©znumpy.r   ©Ú.0Úsr   r   r   Ú
<listcomp>|   ó    r0   )%Ú	array_apizarray_api.linalgZ	ctypeslibÚ	distutilszdistutils.cpuinfozdistutils.exec_commandzdistutils.misc_utilzdistutils.logzdistutils.system_infoÚdoczdoc.constantsz
doc.ufuncsZf2pyr"   Úlibz
lib.formatz
lib.mixinszlib.recfunctionszlib.scimathzlib.stride_tricksr   Úmaz	ma.extraszma.mrecordsZmatlibZ
polynomialzpolynomial.chebyshevzpolynomial.hermitezpolynomial.hermite_ezpolynomial.laguerrezpolynomial.legendrezpolynomial.polynomialÚrandomr   Útypingztyping.mypy_pluginÚversion)z
numpy.charznumpy.emathz	numpy.recc                 C   s   g | ]}d | ‘qS r,   r   r-   r   r   r   r0   ¬   r1   )uÚcompatzcompat.py3kZconftestr'   zcore.arrayprintzcore.defchararrayzcore.einsumfunczcore.fromnumericzcore.function_basezcore.getlimitszcore.memmapzcore.multiarrayzcore.numericzcore.numerictypeszcore.overrideszcore.recordszcore.shape_basez
core.umathzcore.umath_testszdistutils.armccompilerzdistutils.ccompilerzdistutils.ccompiler_optzdistutils.commandzdistutils.command.autodistzdistutils.command.bdist_rpmzdistutils.command.buildzdistutils.command.build_clibzdistutils.command.build_extzdistutils.command.build_pyzdistutils.command.build_scriptszdistutils.command.build_srczdistutils.command.configz!distutils.command.config_compilerzdistutils.command.developzdistutils.command.egg_infozdistutils.command.installzdistutils.command.install_clibzdistutils.command.install_dataz!distutils.command.install_headerszdistutils.command.sdistzdistutils.conv_templatezdistutils.corezdistutils.extensionzdistutils.fcompilerzdistutils.fcompiler.absoftzdistutils.fcompiler.armzdistutils.fcompiler.compaqzdistutils.fcompiler.environmentzdistutils.fcompiler.g95zdistutils.fcompiler.gnuzdistutils.fcompiler.hpuxzdistutils.fcompiler.ibmzdistutils.fcompiler.intelzdistutils.fcompiler.laheyzdistutils.fcompiler.mipszdistutils.fcompiler.nagzdistutils.fcompiler.nonezdistutils.fcompiler.pathf95zdistutils.fcompiler.pgzdistutils.fcompiler.nvzdistutils.fcompiler.sunzdistutils.fcompiler.vastzdistutils.fcompiler.fujitsuzdistutils.from_templatezdistutils.intelccompilerzdistutils.lib2defzdistutils.line_endingszdistutils.mingw32ccompilerzdistutils.msvccompilerzdistutils.npy_pkg_configzdistutils.numpy_distributionzdistutils.pathccompilerzdistutils.unixccompilerZdualzf2py.auxfuncszf2py.capi_mapszf2py.cb_ruleszf2py.cfuncszf2py.common_ruleszf2py.crackfortranzf2py.diagnosezf2py.f2py2ezf2py.f2py_testingzf2py.f90mod_ruleszf2py.func2subrz
f2py.ruleszf2py.symboliczf2py.use_rulesz
fft.helperzlib.arraypadzlib.arraysetopszlib.arrayteratorzlib.function_basezlib.histogramszlib.index_trickszlib.nanfunctionsz	lib.npyiozlib.polynomialzlib.shape_basezlib.twodim_basezlib.type_checkzlib.ufunclikezlib.user_arrayz	lib.utilszlinalg.lapack_litezlinalg.linalgzma.benchzma.corezma.testutilszma.timer_comparisonZ	matrixlibzmatrixlib.defmatrixzpolynomial.polyutilszrandom.mtrandzrandom.bit_generatorztesting.print_coercion_tablesztesting.utilsc                 C   sD   d| v sd| v sd| v rdS | t v r(dS | tv r4dS | tv r@dS dS )z%Check if this needs to be considered.z._z.testsz.setupFT)ÚPUBLIC_MODULESÚPUBLIC_ALIASED_MODULESÚPRIVATE_BUT_PRESENT_MODULES©r   r   r   r   Úis_unexpected%  s    r?   )
znumpy.core.code_generatorsz!numpy.core.code_generators.genapiz)numpy.core.code_generators.generate_umathz+numpy.core.code_generators.ufunc_docstringsz-numpy.core.code_generators.generate_numpy_apiz-numpy.core.code_generators.generate_ufunc_apiz$numpy.core.code_generators.numpy_apiznumpy.core.cversionsznumpy.core.generate_numpy_apiznumpy.distutils.msvc9compilerc                  C   sX   g } t jtjtjd dd�D ]$\}}}t|ƒr|tvr|  |¡ q| rTtd| › �ƒ‚dS )z|
    Test that we don't add anything that looks like a new public module by
    accident.  Check is based on filenames.
    r   N)ÚpathÚprefixÚonerrorzFound unexpected modules: )	ÚpkgutilÚwalk_packagesr   Ú__path__r   r?   Ú	SKIP_LISTÚappendÚAssertionError)ÚmodnamesÚ_ÚmodnameÚispkgr   r   r   Útest_all_modules_are_expectedF  s    þrM   )z
numpy.mathznumpy.distutils.log.sysznumpy.doc.constants.reznumpy.doc.constants.textwrapznumpy.lib.emathznumpy.lib.mathznumpy.matlib.charznumpy.matlib.recznumpy.matlib.emathznumpy.matlib.mathznumpy.matlib.linalgznumpy.matlib.fftznumpy.matlib.randomznumpy.matlib.ctypeslibznumpy.matlib.mac                  C   s>   dd„ } | dƒ}t D ]}| | |ƒ¡ q|r:td |¡ƒ‚dS )aâ  
    Method checking all objects. The pkgutil-based method in
    `test_all_modules_are_expected` does not catch imports into a namespace,
    only filenames.  So this test is more thorough, and checks this like:

        import .lib.scimath as emath

    To check if something in a module is (effectively) public, one can check if
    there's anything in that namespace that's a public function/object but is
    not exposed in a higher-level namespace.  For example for a `numpy.lib`
    submodule::

        mod = np.lib.mixins
        for obj in mod.__all__:
            if obj in np.__all__:
                continue
            elif obj in np.lib.__all__:
                continue

            else:
                print(obj)

    c                 S   sx   g }t  | ¡}t|dƒr |j}nt|ƒ}|D ]F}| d¡s,| d | }tt||ƒtj	ƒr,t
|ƒr,|tvr,| |¡ q,|S )NÚ__all__rJ   r   )Ú	importlibÚimport_moduler   rN   r   Ú
startswithÚ
isinstancer   ÚtypesÚ
ModuleTyper?   ÚSKIP_LIST_2rG   )Úmod_nameÚmembersr   ZobjnamesZobjnameZfullobjnamer   r   r   Úfind_unexpected_membersˆ  s    


z@test_all_modules_are_expected_2.<locals>.find_unexpected_membersÚnumpyz5Found unexpected object(s) that look like modules: {}N)r;   ÚextendrH   Úformat)rX   Zunexpected_membersrK   r   r   r   Útest_all_modules_are_expected_2o  s    ÿr\   c               	   C   sú   dd„ } g }t D ]}| |ƒs| |¡ q|r:td |¡ƒ‚tD ].}zt|ƒ W q> tyj   | |¡ Y q>0 q>|r€td |¡ƒ‚tjdd��H}tj	dt
d� tj	dtd� tD ]}| |ƒs®| |¡ q®W d	  ƒ n1 sÚ0    Y  |rötd
 |¡ƒ‚d	S )a	  
    Check that all submodules listed higher up in this file can be imported

    Note that if a PRIVATE_BUT_PRESENT_MODULES entry goes missing, it may
    simply need to be removed from the list (deprecation may or may not be
    needed - apply common sense).
    c              	   S   s,   zt  | ¡ W n ttfy&   Y dS 0 dS )NFT)rO   rP   ÚImportErrorÚAttributeError)r	   r   r   r   Úcheck_importable«  s
    z-test_api_importable.<locals>.check_importablez5Modules in the public API that cannot be imported: {}z1Modules in the public API that were not found: {}T)ÚrecordÚalways)ÚcategoryNzPModules that are not really public but looked public and can not be imported: {})r;   rG   rH   r[   r<   Úevalr^   ÚwarningsÚcatch_warningsÚfilterwarningsÚDeprecationWarningÚImportWarningr=   )r_   Zmodule_namesr	   Úwr   r   r   Útest_api_importable£  s8    ÿÿ*þrj   ÚPy_DEBUGz£NumPy possibly built with `USE_DEBUG=True ./tools/travis-test.sh`, which does not expose the `array_api` entry point. See https://github.com/numpy/numpy/pull/19800c                  C   s®   t j ¡ } z| jdd�}W n ty8   |  dg ¡}Y n0 t|ƒdksNJ dƒ‚ztdd„ |D ƒƒ}W n ty€   t	dƒd‚Y n0 | 
¡ }d	|j› d
�}|tju sªJ |ƒ‚dS )z}
    Entry point for Array API implementation can be found with importlib and
    returns the numpy.array_api namespace.
    r2   )Úgroupr   z%No entry points for 'array_api' foundc                 s   s   | ]}|j d kr|V  qdS )rY   Nr>   )r.   Úepr   r   r   Ú	<genexpr>ì  r1   z-test_array_api_entry_point.<locals>.<genexpr>z%'numpy' not in array_api entry pointsNznumpy entry point value 'z0' does not point to our Array API implementation)rO   ÚmetadataZentry_pointsÚselectr^   Úgetr   ÚnextÚStopIterationrH   ÚloadÚvaluerY   r2   )ZepsZxp_epsrm   ZxpÚmsgr   r   r   Útest_array_api_entry_pointÓ  s    
ÿrw   )N)"r   Ú	sysconfigr   rC   rS   rO   rd   rY   r   Zpytestr%   r]   r   r   ÚmarkZparametrizer   r   r!   r#   Zskipifr+   r;   r<   r=   r?   rF   rM   rU   r\   rj   ZxfailÚget_config_varrw   r   r   r   r   Ú<module>   sL   

 
ÿ
)y40ý