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__module__Ú__name__ú.)r ÚdirÚgetattrÚhasattrr )ÚmoduleÚ module_nameÚresultsÚnameÚitems úNH:\Change_password\venv_build\Lib\site-packages\numpy/tests/test_public_api.pyÚ check_dirr s àÐØ oo ØGÜF ò BØ 6>Ø ÜvtÓ$Ü D,Õ '¬G°D¸*Õ,EØOO {Ó2Ø OO¨cÑ 1°D·M±MÑ AGDMð Bð Nó c ó8 ddi} t t « }|| k( sJ y )NÚrecarrayznumpy.rec.recarray)r Únp)Ú allowlistÚ bad_resultss r Útest_numpy_namespacer & s, ð Ð(ðIô B-Kð )Ò #Ð#Ñ #r zcan't start subprocess)Úreasonr Útestingc ó t j dd| z f}t j |« }|rJ | t t
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« v sJ y)a¶ Make sure we can actually use the modules we lazy load.
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This is the only way I found that would force the failure to appear on the
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Test that we don't add anything that looks like a new public module by
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r N)ÚpathÚprefixÚonerrorzFound unexpected modules: ) ÚpkgutilÚ walk_packagesr Ú__path__r rT Ú SKIP_LISTÚappendÚAssertionError)ÚmodnamesÚ_ÚmodnameÚispkgs r Ú test_all_modules_are_expectedrc s| ð HÜ $× 2Ñ 2¼¿ ¹ Ü:<¿+¹+ÈÑ:KØ;?ô Aò %Ñ7Eô Õ ! g´YÒ&>ð OOGÕ $ð%ñ Ü Ð 9¸(¸Ð DÓEÐEð r ) znumpy.lib.mathznumpy.matlib.charznumpy.matlib.recznumpy.matlib.emathznumpy.matlib.exceptionsznumpy.matlib.mathznumpy.matlib.linalgznumpy.matlib.fftznumpy.matlib.randomznumpy.matlib.ctypeslibznumpy.matlib.ma)znumpy.distutils.log.sysznumpy.distutils.log.loggingz numpy.distutils.log.warningsc ó~ d } | d« }t D ] }|j | |« « |rt d| « y)aâ
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Method checking all objects. The pkgutil-based method in
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`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
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|
To check if something in a module is (effectively) public, one can check if
|
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|
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|
mod = np.lib.mixins
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print(obj)
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