油烟在线监测数据爬取
blame | 历史 | 原始文档
zmc
2023-08-08 e792e9a60d958b93aef96050644f369feb25d61b 
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ddd dddddddœ}|}ttƒ}||ksFt‚dS)Nz,numpy.testing._private.nosetester.NoseTesterz.numpy.core._multiarray_umath._add_newdoc_ufuncz*numpy.core._multiarray_umath.add_docstringz#numpy.core.function_base.add_newdocznumpy.lib.utils.byte_boundsz/numpy.core._multiarray_umath.compare_chararraysznumpy.lib.utils.deprecatez"numpy.lib.utils.deprecate_with_docznumpy.lib.function_base.dispz1numpy.core._multiarray_umath.fastCopyAndTransposez#numpy.lib.shape_base.get_array_wrapznumpy.lib.utils.get_includeznumpy.lib.npyio.recfromcsvznumpy.lib.npyio.recfromtxtznumpy.lib.utils.safe_evalz)numpy.core.arrayprint.set_string_functionznumpy.__config__.showznumpy.lib.utils.show_runtimeznumpy.lib.utils.who)ÚTesterZ_add_newdoc_ufuncZ add_docstringZ


add_newdocZadd_newdoc_ufuncZbyte_boundsZcompare_chararraysZ    deprecateZdeprecate_with_docZdispZfastCopyAndTransposeZget_array_wrapZget_includeZ


recfromcsvZ


recfromtxtZ    safe_evalZset_string_functionZshow_configZshow_runtimeZwho)rÚnpÚAssertionError)ZundocumentedZ    allowlistÚbad_resultsrrrÚtest_numpy_namespace!s0ìrzcan't start subprocess)ÚreasonrÚtestingrcCs6tjdd|f}t |¡}|r"t‚|ttƒks2t‚dS)a¶Make sure we can actually use the modules we lazy load.


 


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    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)ÚsysÚ


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<listcomp>sr2)%Ú    array_apizarray_api.linalgZ    ctypeslibÚ    distutilszdistutils.cpuinfozdistutils.exec_commandzdistutils.misc_utilz distutils.logzdistutils.system_infoÚdocz doc.constantsz


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f2py.rulesz f2py.symboliczf2py.use_rulesz


fft.helperzlib.arraypadzlib.arraysetopszlib.arrayteratorzlib.function_basezlib.histogramszlib.index_trickszlib.nanfunctionsz    lib.npyiozlib.polynomialzlib.shape_basezlib.twodim_basezlib.type_checkz lib.ufunclikezlib.user_arrayz    lib.utilszlinalg.lapack_litez linalg.linalgzma.benchzma.corezma.testutilszma.timer_comparisonZ    matrixlibzmatrixlib.defmatrixzpolynomial.polyutilsz random.mtrandzrandom.bit_generatorztesting.print_coercion_tablesz testing.utilscCsDd|ksd|ksd|krdS|tkr(dS|tkr4dS|tkr@dSdS)z%Check if this needs to be considered.z._z.testsz.setupFT)ÚPUBLIC_MODULESÚPUBLIC_ALIASED_MODULESÚPRIVATE_BUT_PRESENT_MODULES©rrrrÚ is_unexpected'sr@znumpy.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$numpy.core.code_generators.numpy_apiz-numpy.core.code_generators.generate_umath_docznumpy.core.cversionsznumpy.core.generate_numpy_apiznumpy.distutils.msvc9compilercCsXg}tjtjtjdddD]$\}}}t|ƒr|tkr| |¡q|rTtd|›ƒ‚dS)z|


    Test that we don't add anything that looks like a new public module by


    accident.  Check is based on filenames.


    rN)ÚpathÚprefixÚonerrorzFound unexpected modules: )    ÚpkgutilÚ walk_packagesrÚ__path__rr@Ú    SKIP_LISTÚappendr)ÚmodnamesÚ_ÚmodnameÚispkgrrrÚtest_all_modules_are_expectedIsþrMz


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    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)


 


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