U.j:oddlZddlZddlZddlZddlZddlZddlZddlZddlZddl Z ddl Z ddl m Z ddl Z ddlZd*dZdZe j$j'e de j$j)ddgd Zd Zd Zd Ze j$j'edud dZdDcgc]}d|z c}Zej6dkredDcgc]}d|z c}z ZgdZdDcgc]}d|z c}Zej6dkredDcgc]}d|z c}z ZdZej6dkrdgZngZe j$jAddZ!gdZ"ej6dkre"gdz Z"dZ#dZ$e j$jKejLddvd d!Z'd"Z(e j$jAd#d$Z)d%Z*d&Z+d'e,fd(Z-d)Z.y#e$rdZYwxYwcc}wcc}wcc}wcc}w)+N)IS_WASMc| |j}i}t|D]]}|dk(r t||}t|ds"t|ds/|j|k7s?|jdz|jz||<_|S)zEReturns a mapping of all objects with the wrong __module__ attribute.core __module____name__.)rdirgetattrhasattrr)module module_nameresultsnameitems ]C:\xampp\htdocs\tradingbinance\backend\.venv\Lib\site-packages\numpy/tests/test_public_api.py check_dirrs{oo GF  6> vt$ D, 'GD*,EOO{2 OOc1DMMAGDM  Nc8ddi}tt}||k(sJy)Nrecarrayznumpy.rec.recarray)rnp) allowlist bad_resultss rtest_numpy_namespacer&s, (IB-K ) ## #rzcan't start subprocess)reasonrtestingctjdd|zf}tj|}|rJ|t t vsJy)aMake 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-czimport numpy; numpy.N)sys executable subprocess check_outputr r)rexeresults rtest_import_lazy_importr#1sD >>4!7$!> ?C  $ $S )F: 3r7??rc|tttttttk(sJy)zWAssert that output of dir has only one "testing/tester" attribute without duplicateN)lenr rsetrrtest_dir_testingr(Hs' s2w<3s3r7|, ,, ,rcDttj}|ik(sJyN)rrlinalgrs rtest_numpy_linalgr-NsBII&K "  rcDttj}|ik(sJyr*)rrfftr,s rtest_numpy_fftr0SsBFF#K "  rz#ctypes not available in this pythonctjtjjj }t |dd}|Jdy)Ntest_not_exportedzG'test_not_exported' is mistakenly exported, NPY_NO_EXPORT does not work)ctypesCDLLr_core_multiarray_tests__file__r )cdllfs rtest_NPY_NO_EXPORTr:XsG ;;rxx11:: ;D)40A 95459r) ctypeslibdtypes exceptionsf2pyr/libzlib.array_utilsz lib.formatzlib.introspectz lib.mixinsz lib.npyiozlib.recfunctionsz lib.scimathzlib.stride_tricksr+maz ma.extrasz ma.mrecords polynomialzpolynomial.chebyshevzpolynomial.hermitezpolynomial.hermite_ezpolynomial.laguerrezpolynomial.legendrezpolynomial.polynomialrandomstringsrztesting.overridestypingztyping.mypy_pluginversionnumpy.) ) distutilszdistutils.cpuinfozdistutils.exec_commandzdistutils.misc_utilz distutils.logzdistutils.system_info) numpy.charz numpy.emath numpy.rec),compatz compat.py3kconftestrzcore.multiarrayz core.numericz core.umathzcore.arrayprintzcore.defchararrayzcore.einsumfunczcore.fromnumericzcore.function_basezcore.getlimitszcore.numerictypeszcore.overridesz core.recordszcore.shape_basez f2py.auxfuncszf2py.capi_mapsz f2py.cb_rulesz f2py.cfuncszf2py.common_ruleszf2py.crackfortranz f2py.diagnosez f2py.f2py2ezf2py.f90mod_ruleszf2py.func2subrz f2py.rulesz f2py.symboliczf2py.use_rulesz fft.helperzlib.user_arrayzlinalg.lapack_litez linalg.linalgzma.corez ma.testutilszma.timer_comparisonmatlib matrixlibzmatrixlib.defmatrixzpolynomial.polyutilsz random.mtrandzrandom.bit_generatorztesting.print_coercion_tables)7zdistutils.armccompilerzdistutils.fujitsuccompilerzdistutils.ccompilerzdistutils.ccompiler_optzdistutils.commandzdistutils.command.autodistzdistutils.command.bdist_rpmzdistutils.command.buildzdistutils.command.build_clibzdistutils.command.build_extzdistutils.command.build_pyzdistutils.command.build_scriptszdistutils.command.build_srczdistutils.command.configz!distutils.command.config_compilerzdistutils.command.developzdistutils.command.egg_infozdistutils.command.installzdistutils.command.install_clibzdistutils.command.install_dataz!distutils.command.install_headerszdistutils.command.sdistzdistutils.conv_templatezdistutils.corezdistutils.extensionzdistutils.fcompilerzdistutils.fcompiler.absoftzdistutils.fcompiler.armzdistutils.fcompiler.compaqzdistutils.fcompiler.environmentzdistutils.fcompiler.g95zdistutils.fcompiler.gnuzdistutils.fcompiler.hpuxzdistutils.fcompiler.ibmzdistutils.fcompiler.intelzdistutils.fcompiler.laheyzdistutils.fcompiler.mipszdistutils.fcompiler.nagzdistutils.fcompiler.nonezdistutils.fcompiler.pathf95zdistutils.fcompiler.pgzdistutils.fcompiler.nvzdistutils.fcompiler.sunzdistutils.fcompiler.vastzdistutils.fcompiler.fujitsuzdistutils.from_templatezdistutils.intelccompilerzdistutils.lib2defzdistutils.line_endingszdistutils.mingw32ccompilerzdistutils.msvccompilerzdistutils.npy_pkg_configzdistutils.numpy_distributionzdistutils.pathccompilerzdistutils.unixccompilercTd|vsd|vsd|vry|tvry|tvry|tvryy)z%Check if this needs to be considered.z._z.testsz.setupFT)PUBLIC_MODULESPUBLIC_ALIASED_MODULESPRIVATE_BUT_PRESENT_MODULESrs r is_unexpectedrUs@ t|x4'8t+; ~ %% ** rznumpy.distutils.msvc9compilerz'ignore:.*np.compat.*:DeprecationWarningcg}tjtjtjdzdD],\}}}t |s|t vs|j|.|rtd|y)z| Test that we don't add anything that looks like a new public module by accident. Check is based on filenames. rN)pathprefixonerrorzFound unexpected modules: ) pkgutil walk_packagesr__path__rrU SKIP_LISTappendAssertionError)modnames_modnameispkgs rtest_all_modules_are_expectedrd)sxH$22 :<++:K;?A7E  !gY&> OOG $A9(DEEr) znumpy.lib.mathznumpy.matlib.charznumpy.matlib.recznumpy.matlib.emathznumpy.matlib.exceptionsznumpy.matlib.mathznumpy.matlib.linalgznumpy.matlib.fftznumpy.matlib.randomznumpy.matlib.ctypeslibznumpy.matlib.ma)znumpy.distutils.log.sysznumpy.distutils.log.loggingznumpy.distutils.log.warningscd}|d}tD]}|j|||rtdj|y)a Method checking all objects. The pkgutil-based method in `test_all_modules_are_expected` does not catch imports into a namespace, only filenames. So this test is more thorough, and checks this like: import .lib.scimath as emath To check if something in a module is (effectively) public, one can check if there's anything in that namespace that's a public function/object but is not exposed in a higher-level namespace. For example for a `numpy.lib` submodule:: mod = np.lib.mixins for obj in mod.__all__: if obj in np.__all__: continue elif obj in np.lib.__all__: continue else: print(obj) cTg}tj|}t|dr |j}n t |}|D]g}|j dr|dz|z}t t||tjsBt|sN|tvsW|j|i|S)N__all__rar) importlib import_moduler rgr startswith isinstancer types ModuleTyperU SKIP_LIST_2r^)mod_namemembersr objnamesobjname fullobjnames rfind_unexpected_membersz@test_all_modules_are_expected_2..find_unexpected_membersns((2 69 %~~H6{HG%%c*&nw6 gfg68H8HI$[1&k9#NN;7  rnumpyz5Found unexpected object(s) that look like modules: {}N)rQextendr_format)rtunexpected_membersrbs rtest_all_modules_are_expected_2ryUs[2$19!!!"9'"BC"++162D+EG Grc|d}g}tD]}||r |j||rtdj|tD]} t ||rtdj|tjd5}tjdttjdttD]}||r |j| ddd|rtd j|y#t $r|j|YwxYw#1swYFxYw) a  Check that all submodules listed higher up in this file can be imported Note that if a PRIVATE_BUT_PRESENT_MODULES entry goes missing, it may simply need to be removed from the list (deprecation may or may not be needed - apply common sense). cZ tj|y#ttf$rYywxYw)NFT)rhri ImportErrorAttributeError)r s rcheck_importablez-test_api_importable..check_importables3   # #K 0^,  s **z5Modules in the public API that cannot be imported: {}z1Modules in the public API that were not found: {}T)recordalways)categoryNzPModules that are not really public but looked public and can not be imported: {}) rQr^r_rwrRevalr}warningscatch_warningsfilterwarningsDeprecationWarning ImportWarningrS)r~ module_namesr ws rtest_api_importablers1L%  ,    ,&,,2F<,@B B.  -  . ))/ )=? ?   -3EF=A6K#K0##K07 .""(&"68 8 -    , - . -s% DAD2D2D/.D/2D;Py_DEBUG)Nr0zNumPy 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/19800ctjdtjv}tj j } |jd}t|dk(r|rd}t|dy td|D}|jd k(ry|j}d |jd }|t usJ|y#t$r|jdg}YwxYw#t$r|rd}t|dYywxYw) zx Entry point for Array API implementation can be found with importlib and returns the main numpy namespace. platlib array_api)grouprz%No entry points for 'array_api' foundNc3@K|]}|jdk(s|yw)ruNrT).0eps r z-test_array_api_entry_point..s._remove_private_memberss%%?:aQ\\#->:???s##c&|jdhS)Nbool) difference)rs r_remove_exceptionszAtest_main_namespace_all_dir_coherence.._remove_exceptionss$$ &   rzMembers that break symmetry: N)rrg__dir__symmetric_difference)rr all_members dir_memberss r%test_main_namespace_all_dir_coherencerso @ *"**5K$[1K)"**,7K$[1K + %'  + +K 8 9 ; %rz:ignore:numpy.core(\.\w+)? is deprecated:DeprecationWarningcddlm}ttjD]}|j ds|dvs d|t vr$ttj|}tj|rT|}|}t|D]A}|j drt||}td||g}|t||urAJ|t||urJy) zp Check that all "semi-public" members of `numpy._core` are also accessible from `numpy.core` shims. rNra)testsrCrF__z numpy.core.)fromlist) numpy.corerr rr5rjrRr inspectismodule __import__)r member_namemember submodulesubmodule_namesubmodule_member_namesubmodule_membercore_submodules rtest_core_shims_coherencer s288}   " "3 '22 }%)?? ;/   F #I(N),Y%(33D9#*96K#L !+!.!1234" (7"$9,*8 WT;77 77E%rcddlm}m}m}m}m}m}ddlm}th}t}t} g} tg} t| dkDr| j} t| D]x} t| | }t!j"|rXd|j$vrJ| j'ds9d|j$vr+| dvr'||vr#| j)||j+|}t!j,|st/||tj0fs||vr|j$dvr| j$dk(r|j$d k(r| j$j'd r|j$d vr| j$d k(r| j$d k(r,| j)|j$| j$| |fY|j+|| j$| |<{t| dkDr~~~ t| dk(sJ| y)z Check that each public function is available from one location only. Test performs BFS search traversing NumPy's public API. It flags any function-like object that is accessible from more that one place. r)AnyCallableDictListSetTuple)_ArrayFunctionDispatcherrura numpy._core)r>r@rr)absolutearccosarccosharcsinarcsinharctanarctan2arctanh left_shift right_shift conjugateinvert remainderdivide concatenatepower transposetrimcoefznumpy.polynomialaddequal not_equalgreater greater_equalless less_equal numpy.stringsrJN)rDrrrrrrnumpy._core._multiarray_umathrrr&dictr%popr r rrrrjr^r isfunctionrkufunc)rrrrrrdispatched_functionvisited_modulesvisited_functionsfunctions_original_pathsduplicated_functions modules_queuer rrs rtest_functions_single_locationr:s=</1TO14?Cf)+DM m q ""$v;KV[1F  (6??***3/V__4#EEo-$$V,##F+""6*6$7#BC..,&72 :5223EF +!//_< ,6 )//1&9; &))&17=,V4a' m q l ?,D # $ )?+?? )rctg}th}t}g}t|dkDr|j}t |D]}t ||}t j|rXd|jvrJ|jds9d|jvr+|dvr'||vr#|j||j|}t j|rt|ds|jjdr|j|jk7s||vs|jdvr|jdk(r|jd k(r|jdk(s|jd k(r|jd k(r7|jd vrG|jt|j|j|j |j|t|dkDr|rt|dk(sJ|yy)Nrrurar) charrr;r>r@ lapack_litemrecordsrrrArDmtrand bit_generatorrrrrrrK) BitGenerator GeneratorMT19937PCG64 PCG64DXSMPhilox RandomStateSFC64 SeedSequence)Funcactualexpected)rr&r%rr r rrrrjr^rr rrrrrincorrect_entriesr rrs rtest___module___attributersDMdO m q ""$v;KV[1F  (6??***3/V__4$ o-$$V,##F+$$V, +OO..s3!!V__4//??'oo8__ 2v'7Q__0V__ 5S??'!((#__%00!'"%%f-k' m q r$%*=,==*rreturncF|j}|j}|j}||jddk(sJtj |}t jt|jd|}||uxs"|jdxr|j|k(S)Nrz numpy.random) __qualname__rrsplitrmodules functoolsreducer rj)objqualnamerr r actual_objs r_check___qualname__rsH <>#&r* ** * [[ %F!!'8>>#+>GJc   " "> 2 0  # #x / rc"tg}th}t}g}t|dkDrN|j}t |D]}t ||}t j|rXd|jvrJ|jds9|dvr5d|jvr'||vr#|j||j|}t j|rt|ds|jjdr|jdrt|r||vs|jt|j|j|j|"t|dkDrN|rt|dk(sJ|yy)Nrrura)r>r@rrrDrr;rrr)rr)rr&r%rr r rrrrjr^rr rrr rs rtest___qualname___attributersnDMdO m q ""$v;KV[1F  (6??***3/$V__4o-$$V,##F+$$V, +OO..s3**3/'///!((%22V__ "%%f-;' m q B$%*=,==*rr*)/rrrrrZrlrhrrrur numpy.testingrpytestr3r|rrmarkskipif parametrizer#r(r-r0r:rQ version_inforRrSrUr]rrdrnryrxfailget_config_varrrrrrrrr)ss0rrs   !  $G$<=)-.>*-   FdN@B5B5(!)!!)1(Q,!)!Dg   1    N-6--6x!|-6-\g8 :$8 1 8 :$:z"g01IIEFFGF,  gK1Gh-8`IZ(> 8..b2A)8)8Xp@f@>F$(>_ Fv!F (-^:$s)G*8 G8 G=4 H H*G54G5