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    e
?                     @   s  d dl Z d dlZd dlZd dlZd dlZd dlZd dlZd dlZd dlZd dl	Z	d dl
mZ zd dlZW n ek
r   dZY nX dGddZdd Ze	jjedde	jd	d
dgdd Zdd Zdd Zdd Ze	jjedkdddd Zdd dD ZdddgZdd dD Zdd  Zd!d"d#d$d%d&d'd(d)d*d+gZd,d- Zd.d/d0d1d2d3d4d5d6d7d8d9d:d;d<d=d>gZd?d@ ZdAdB Z e	jj!e"dCdk	dDddEdF Z#dS )H    N)IS_WASMc                 C   s`   |dkr| j }i }t| D ]@}t| |}t|drt|dr|j|kr|jd |j  ||< q|S )zEReturns a mapping of all objects with the wrong __module__ attribute.N
__module____name__.)r   dirgetattrhasattrr   )modulemodule_nameresultsnameitem r   \/var/www/html/assets/scripts/venv/lib/python3.8/site-packages/numpy/tests/test_public_api.py	check_dir   s    
r   c                  C   sJ   dddddddddd	d
dddddddddd} | }t t}||ksFt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.dispz1numpy.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.show_runtimeznumpy.lib.utils.who)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show_runtimeZwho)r   npAssertionError)ZundocumentedZ	allowlistbad_resultsr   r   r   test_numpy_namespace!   s0    r   zcan't start subprocess)reasonr   testingr   c                 C   s6   t jdd|  f}t|}|r"t| ttks2t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)sys
executable
subprocesscheck_outputr   r   r   )r   exeresultr   r   r   test_import_lazy_importB   s    
r   c                   C   s$   t ttt tttks tdS )zWAssert that output of dir has only one "testing/tester"
    attribute without duplicateN)lenr   r   setr   r   r   r   r   test_dir_testingY   s    r!   c                  C   s   t tj} | i kstd S N)r   r   linalgr   r   r   r   r   test_numpy_linalg_   s    
r%   c                  C   s   t tj} | i kstd S r"   )r   r   fftr   r$   r   r   r   test_numpy_fftd   s    
r'   z#ctypes not available in this pythonc                  C   s0   t tjjj} t| dd }|d ks,tdd S )NZtest_not_exportedzG'test_not_exported' is mistakenly exported, NPY_NO_EXPORT does not work)ctypesCDLLr   coreZ_multiarray_tests__file__r   r   )Zcdllfr   r   r   test_NPY_NO_EXPORTi   s    r-   c                 C   s   g | ]}d | qS znumpy.r   .0sr   r   r   
<listcomp>   s     r2   )%	array_apizarray_api.linalgZ	ctypeslib	distutilszdistutils.cpuinfozdistutils.exec_commandzdistutils.misc_utilzdistutils.logzdistutils.system_infodoczdoc.constantsz
doc.ufuncsZf2pyr&   libz
lib.formatz
lib.mixinszlib.recfunctionszlib.scimathzlib.stride_tricksr#   maz	ma.extraszma.mrecordsZmatlibZ
polynomialzpolynomial.chebyshevzpolynomial.hermitezpolynomial.hermite_ezpolynomial.laguerrezpolynomial.legendrezpolynomial.polynomialrandomr   typingztyping.mypy_pluginversionz
numpy.charznumpy.emathz	numpy.recc                 C   s   g | ]}d | qS r.   r   r/   r   r   r   r2      s     )t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.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| ksd| ksd| krdS | t kr(dS | tkr4dS | tkr@dS dS )z%Check if this needs to be considered.z._z.testsz.setupFT)PUBLIC_MODULESPUBLIC_ALIASED_MODULESPRIVATE_BUT_PRESENT_MODULESr   r   r   r   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$numpy.core.code_generators.numpy_apiz-numpy.core.code_generators.generate_umath_docznumpy.core.cversionsznumpy.core.generate_numpy_apiznumpy.distutils.msvc9compilerc                  C   sX   g } t jtjtjd ddD ]$\}}}t|r|tkr| | q| rTtd|  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)pathprefixonerrorzFound unexpected modules: )	pkgutilwalk_packagesr   __path__r   r@   	SKIP_LISTappendr   )modnames_modnameispkgr   r   r   test_all_modules_are_expectedI  s    rM   z
numpy.mathznumpy.distutils.log.sysznumpy.distutils.log.loggingznumpy.distutils.log.warningsz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}t D ]}|| | q|r:td|dS )a  
    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r |j}nt|}|D ]F}|ds,| d | }tt||tj	r,t
|r,|tkr,|| q,|S )N__all__rJ   r   )	importlibimport_moduler   rN   r   
startswith
isinstancer   types
ModuleTyper@   SKIP_LIST_2rH   )mod_namemembersr	   ZobjnamesZobjnameZfullobjnamer   r   r   find_unexpected_members  s    


z@test_all_modules_are_expected_2.<locals>.find_unexpected_membersnumpyz5Found unexpected object(s) that look like modules: {}N)r<   extendr   format)rX   Zunexpected_membersrK   r   r   r   test_all_modules_are_expected_2t  s    r\   c               	   C   s   dd } g }t D ]}| |s|| q|r:td|tD ]0}zt| W q> tk
rl   || Y q>X q>|rtd|tjdd>}tj	dt
d tj	dtd tD ]}| |s|| qW 5 Q R X |rtd	|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k
r(   Y dS X dS )NFT)rO   rP   ImportErrorAttributeError)r
   r   r   r   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)recordalways)categoryzPModules that are not really public but looked public and can not be imported: {}N)r<   rH   r   r[   r=   evalr^   warningscatch_warningsfilterwarningsDeprecationWarningImportWarningr>   )r_   Zmodule_namesr
   wr   r   r   test_api_importable  s8    rj   Py_DEBUGzNumPy 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k
r:   | dg }Y nX t|dksPtdztdd |D }W n t	k
r   tddY nX |
 }d	|j d
}|tjkst|dS )z}
    Entry point for Array API implementation can be found with importlib and
    returns the numpy.array_api namespace.
    r3   )groupr   z%No entry points for 'array_api' foundc                 s   s   | ]}|j d kr|V  qdS )rY   Nr?   )r0   epr   r   r   	<genexpr>  s     
 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   metadataentry_pointsselectr^   getr   r   nextStopIterationloadvaluerY   r3   )ZepsZxp_epsrm   Zxpmsgr   r   r   test_array_api_entry_point  s    
rx   )N)$r   	sysconfigr   rD   rS   rO   rd   rY   r   ZpytestZnumpy.testingr   r(   r]   r   r   markZskipifZparametrizer   r!   r%   r'   r-   r<   r=   r>   r@   rG   rM   rU   r\   rj   Zxfailget_config_varrx   r   r   r   r   <module>   s   

!
*x40