o
    g>                     @   sN  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	zd dl
Z
W n ey9   dZ
Y nw d)ddZdd Ze	jdddgd	d
 Zdd Zdd Zdd Ze	jje
du dddd Zdd dD Zg dZdd dD Zdd Zg dZdd Zg d Zd!d" Zd#d$ Ze	jje d%dud&dd'd( Z!dS )*    Nc                 C   s`   |du r| j }i }t| D ] }t| |}t|dr-t|dr-|j|kr-|jd |j  ||< q|S )zEReturns a mapping of all objects with the wrong __module__ attribute.N
__module____name__.)r   dirgetattrhasattrr   )modulemodule_nameresultsnameitem r   Y/home/ubuntu/cloudmapper/venv/lib/python3.10/site-packages/numpy/tests/test_public_api.py	check_dir   s   

r   c                  C   s   i ddddddddd	dd
dddddddddddddddddddddd d!d"d#d$} | }t t}||ksFJ d S )%NTesterz,numpy.testing._private.nosetester.NoseTester_add_newdoc_ufuncz.numpy.core._multiarray_umath._add_newdoc_ufuncadd_docstringz*numpy.core._multiarray_umath.add_docstring
add_newdocz#numpy.core.function_base.add_newdocadd_newdoc_ufuncbyte_boundsznumpy.lib.utils.byte_boundscompare_chararraysz/numpy.core._multiarray_umath.compare_chararrays	deprecateznumpy.lib.utils.deprecatedeprecate_with_docz"numpy.lib.utils.deprecate_with_docdispznumpy.lib.function_base.dispfastCopyAndTransposez2numpy.core._multiarray_umath._fastCopyAndTransposeget_array_wrapz#numpy.lib.shape_base.get_array_wrapget_includeznumpy.lib.utils.get_include
recfromcsvznumpy.lib.npyio.recfromcsv
recfromtxtznumpy.lib.npyio.recfromtxt	safe_evalznumpy.lib.utils.safe_evalset_string_functionz)numpy.core.arrayprint.set_string_functionznumpy.__config__.showznumpy.lib.utils.who)show_configwho)r   np)undocumented	allowlistbad_resultsr   r   r   test_numpy_namespace    sR   	
r'   r   testingr   c                 C   s6   t jdd|  f}t|}|rJ | ttv sJ 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   exeresultr   r   r   test_import_lazy_import@   s   
r/   c                   C   s$   t ttt tttksJ dS )zWAssert that output of dir has only one "testing/tester"
    attribute without duplicateN)lenr   r#   setr   r   r   r   test_dir_testingV   s   $r2   c                  C      t tj} | i ksJ d S N)r   r#   linalgr&   r   r   r   test_numpy_linalg\      
r7   c                  C   r3   r4   )r   r#   fftr6   r   r   r   test_numpy_ffta   r8   r:   z#ctypes not available in this python)reasonc                  C   s0   t tjjj} t| dd }|d u sJ dd S )Ntest_not_exportedzG'test_not_exported' is mistakenly exported, NPY_NO_EXPORT does not work)ctypesCDLLr#   core_multiarray_tests__file__r   )cdllfr   r   r   test_NPY_NO_EXPORTf   s   rD   c                 C      g | ]}d | qS znumpy.r   .0sr   r   r   
<listcomp>|       rJ   )%	array_apizarray_api.linalg	ctypeslib	distutilszdistutils.cpuinfozdistutils.exec_commandzdistutils.misc_utilzdistutils.logzdistutils.system_infodoczdoc.constantsz
doc.ufuncsf2pyr9   libz
lib.formatz
lib.mixinszlib.recfunctionszlib.scimathzlib.stride_tricksr5   maz	ma.extraszma.mrecordsmatlib
polynomialzpolynomial.chebyshevzpolynomial.hermitezpolynomial.hermite_ezpolynomial.laguerrezpolynomial.legendrezpolynomial.polynomialrandomr(   typingztyping.mypy_pluginversion)z
numpy.charznumpy.emathz	numpy.recc                 C   rE   rF   r   rG   r   r   r   rJ      rK   )ucompatzcompat.py3k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.unixccompiler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_comparison	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 rdS | tv 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.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vr | | q| r*t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appendAssertionError)modnames_modnameispkgr   r   r   test_all_modules_are_expectedF  s   
rn   )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}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 ]#}|ds9| d | }tt||tj	r9t
|r9|tvr9|| q|S )N__all__rk   r   )	importlibimport_moduler   ro   r   
startswith
isinstancer   types
ModuleTyper`   SKIP_LIST_2rh   )mod_namemembersr   objnamesobjname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\   extendri   format)r|   unexpected_membersrl   r   r   r   test_all_modules_are_expected_2o  s   r   c               	   C   s   dd } g }t D ]}| |s|| q|rtd|tD ]}zt| W q ty5   || Y qw |r?td|tjdd$}tj	dt
d tj	dtd tD ]}| |sa|| qVW d	   n1 slw   Y  |rzt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 dS  ttfy   Y dS w )NFT)rp   rq   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)categoryNzPModules that are not really public but looked public and can not be imported: {})r\   rh   ri   r   r]   evalr   warningscatch_warningsfilterwarningsDeprecationWarningImportWarningr^   )r   module_namesr	   wr   r   r   test_api_importable  sD   

r   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y   | dg }Y nw t|dks'J dztdd |D }W n ty>   t	ddw |
 }d	|j d
}|tju sSJ |dS )z}
    Entry point for Array API implementation can be found with importlib and
    returns the numpy.array_api namespace.
    rL   )groupr   z%No entry points for 'array_api' foundc                 s   s    | ]
}|j d kr|V  qdS )r}   Nr_   )rH   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)rp   metadataentry_pointsselectr   getr0   nextStopIterationri   loadvaluer}   rL   )epsxp_epsr   xpmsgr   r   r   test_array_api_entry_point  s    

r   r4   )"r)   	sysconfigr+   rd   rt   rp   r   r}   r#   pytestr=   r   r   r'   markparametrizer/   r2   r7   r:   skipifrD   r\   r]   r^   r`   rg   rn   rv   r   r   xfailget_config_varr   r   r   r   r   <module>   sP    
 

)y40