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cytora / pandas python

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1.2.4  ▾
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pandas / _libs / ops_dispatch.cpython-37m-x86_64-linux-gnu.so
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«ÿÿéùìÿÿH;I& „Í÷ÿÿH‹5´B L‰÷èü¦ÿÿL‹T$H‰ÃéÂ÷ÿÿH;ˆ& uoL‰÷ÿ’ˆH‰ÃH…ÛuR¾ºWE1ÒémöÿÿL‰ÿèȰÿÿH…ÀI‰Å…œìÿÿ¾1ºXE1äE1Òéaéÿÿ1۾ºWE1äE1ÒéJéÿÿH‹lA éäëÿÿH;¨% tˆH‹5B L‰÷è_¦ÿÿH‰Ãë€fHƒìHƒÄÃ<cyfunction %U at %p>name '%U' is not defined__loader__loader__file__origin__package__parent__path__submodule_search_locationsnot_implementedpandas/_libs/ops_dispatch.c%s (%s:%d)%d.%d%spandas._libs.ops_dispatch_cython_0_29_21builtinscython_runtime__builtins__pandas/_libs/ops_dispatch.pyxat leastat mostcython_function_or_method__reduce____module__func_doc__doc__func_name__name____qualname____self__func_dict__dict__func_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults____annotations____annotations__ must be set to a dict object__kwdefaults__ must be set to a dict object__defaults__ must be set to a tuple objectfunction's dictionary may not be deletedsetting function's dictionary to a non-dict__qualname__ must be set to a string object__name__ must be set to a string objectInterpreter change detected - this module can only be loaded into one interpreter per process.%.200s() keywords must be stringsjoin() result is too long for a Python string while calling a Python objectNULL result without error in PyObject_CallModule 'ops_dispatch' has already been imported. Re-initialisation is not supported.compiletime version %s of module '%.100s' does not match runtime version %sShared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompilinginit pandas._libs.ops_dispatch%.200s() takes no arguments (%zd given)%.200s() takes exactly one argument (%zd given)Bad call flags in __Pyx_CyFunction_Call. METH_OLDARGS is no longer supported!%.200s() takes no keyword argumentsmaybe_dispatch_ufunc_to_dunder_op%.200s() takes %.8s %zd positional argument%.1s (%zd given)%s() got multiple values for keyword argument '%U'pandas._libs.ops_dispatch.maybe_dispatch_ufunc_to_dunder_opArgument '%.200s' has incorrect type (expected %.200s, got %.200s)maybe_dispatch_ufunc_to_dunder_opmaybe_dispatch_ufunc_to_dunder_op.<locals>.not_implementedpandas/_libs/ops_dispatch.pyxpandas._libs.ops_dispatchcline_in_tracebackDISPATCHED_UFUNCSnot_implementedREVERSED_NAMESNotImplementedgreater_equalUFUNC_ALIASESfloor_dividetrue_dividebitwise_xorbitwise_andless_equalbitwise_orremaindernot_equalsubtractmultiplyfloordivtruedivop_namegreaterresultnamemethodmatmulkwargsinputsdivmoddivideufuncpowerequal__test__self__ne____name____main____lt__less__le____gt____ge____eq____call__argsxorsubpowoutmulmodgetdivandaddorneltlegtgeeq____r;x.,›ÿÿ” ÿÿd[ ÿÿlª ÿÿäé ÿÿC¡ÿÿDœ¡ÿÿ”+¢ÿÿ̬£ÿÿ¤Τÿÿ䙥ÿÿD ¦ÿÿô·ÿÿ¬	,¸ÿÿ¼Œ¸ÿÿÔœ¸ÿÿ켸ÿÿ̸ÿÿܸÿÿ4ü¸ÿÿL,¹ÿÿ„l¹ÿÿ¤¬¹ÿÿÄì¹ÿÿä,ºÿÿüLºÿÿlºÿÿ,œºÿÿL¬ºÿÿd,½ÿÿ”L½ÿÿ¬|½ÿÿÌ̾ÿÿ\¿ÿÿ,ì¿ÿÿL|Àÿÿ„Áÿÿ¤|ÁÿÿÄìÁÿÿl,ÂÿÿüÂÿÿTlÄÿÿŒìÊÿÿ4œÎÿÿ¼|Ñÿÿ	¬Óÿÿ\	zRx$™ÿÿàFJw€?;*3$"Dh¶ÿÿQtP\°¶ÿÿ	t¨¶ÿÿŒ°¶ÿÿ	¤¨¶ÿÿ¼ ¶ÿÿÔ¨¶ÿÿ(젝ÿÿOAƒM ¶ÿÿ?HƒM
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    Dispatch a ufunc to the equivalent dunder method.

    Parameters
    ----------
    self : ArrayLike
        The array whose dunder method we dispatch to
    ufunc : Callable
        A NumPy ufunc
    method : {'reduce', 'accumulate', 'reduceat', 'outer', 'at', '__call__'}
    inputs : ArrayLike
        The input arrays.
    kwargs : Any
        The additional keyword arguments, e.g. ``out``.

    Returns
    -------
    result : Any
        The result of applying the ufunc
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