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W|ý’ú¾L
    When we have NA in one of the tuples but not the other we have to check here,
    because our regular checks fail before with ambiguous boolean value.

    Parameters
    ----------
    left: Any
    right: Any

    Returns
    -------
    True if we are dealing with tuples that have NA on one side and non NA on
    the other side.

    
    Check if two scalars are both NA of matching types.

    Parameters
    ----------
    left : Any
    right : Any
    nan_matches_none : bool, default False
        For backwards compatibility, consider NaN as matching None.

    Returns
    -------
    bool
    
    Return boolean describing of the input is NA-like, defined here as any
    of:
     - None
     - nan
     - NaT
     - np.datetime64 representation of NaT
     - np.timedelta64 representation of NaT
     - NA
     - Decimal("NaN")

    Parameters
    ----------
    val : object

    Returns
    -------
    bool
    
    Return boolean mask denoting which elements of a 1-D array are na-like,
    according to the criteria defined in `checknull`:
     - None
     - nan
     - NaT
     - np.datetime64 representation of NaT
     - np.timedelta64 representation of NaT
     - NA
     - Decimal("NaN")

    Parameters
    ----------
    arr : ndarray

    Returns
    -------
    result : ndarray (dtype=np.bool_)
    
    Check for NA values consistent with IntegerArray/FloatingArray.

    Similar to a vectorized is_valid_na_for_dtype restricted to numeric dtypes.

    Returns
    -------
    ndarray[bool]
    missingnameloader__loader__origin__file__parent__package__submodule_search_locations__path__Interpreter change detected - this module can only be loaded into one interpreter per process.Module 'missing' has already been imported. Re-initialisation is not supported.builtinscython_runtime__builtins__pandas._libs.missingtype__orig_bases__init pandas._libs.missingpandas/_libs/missing.pyx../venv3.14-ios_13_0_x86_64_iphonesimulator/build/lib/python3.14/site-packages/numpy/__init__.cython-30.pxdpandas/_libs/tslibs/util.pxd<stringsource>compile time Python version %d.%d of module '%.100s' %s runtime version %d.%ddoes not matchzlibdecompressFailed to import '%.20s.decompress' - cannot initialise module strings. String compression was configured with the C macro 'CYTHON_COMPRESS_STRINGS=%d'._cython_3_2_5Shared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompiling_cython_3_2_5._common_types_metatype__module___cython_3_2_5.cython_function_or_method<cyfunction %U at %p>unbound method %.200S() needs an argumentkeywords must be stringstakes no argumentstakes exactly one argumentBad call flags for CyFunctiontakes no keyword arguments%.200s() %s (%zd given)%.200s() %s__reduce____vectorcalloffset____weaklistoffset__func_doc__doc__func_name__name____qualname__func_dict__dict__func_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults____annotations___is_coroutine__name__ must be set to a string object__qualname__ must be set to a string object__defaults__ must be set to a tuple objectchanges to cyfunction.__defaults__ will not currently affect the values used in function calls__kwdefaults__ must be set to a dict objectchanges to cyfunction.__kwdefaults__ will not currently affect the values used in function calls__annotations__ must be set to a dict objectname '%U' is not definedpandas._libs.missing.isnaobjpandas._libs.missing.checknull_with_nat_and_napandas._libs.missing.is_null_datetime64pandas._libs.missing.is_null_timedelta64pandas._libs.missing.check_na_tuples_nonequaltoo many values to unpack (expected %zd)need more than %zd value%.1s to unpackspandas._libs.missing.is_matching_napandas._libs.tslibs.util.is_nanpandas._libs.missing.is_decimal_napandas._libs.missing.checknullpandas._libs.missing.C_NAType__reduce_cython____setstate_cython__at leastat mostexactly%.200s() takes %.8s %zd positional argument%.1s (%zd given)pandas._libs.missing.C_NAType.__reduce_cython__pandas._libs.missing.C_NAType.__setstate_cython__tuplecannot pass None into a C function argument that is declared 'not None'pandas._libs.missing.__pyx_unpickle_C_NAType__set_stateUnable to initialize pickling for %.200spandas._libs.missing.__pyx_scope_struct___create_binary_propagating_opnumpydtypeflatiterbroadcastndarraygenericnumberintegersignedintegerunsignedintegerinexactfloatingcomplexfloatingflexiblecharacterufuncdatetimedatetimetimedeltatzinfopandas._libs.tslibs.nattype_NaT%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectvariable__pyx_capi__%.200s does not export expected C %.8s %.200sC %.8s %.200s.%.200s has wrong signature (expected %.500s, got %.500s)pandas._libs.tslibs.np_datetimefunctionpandas._libs._cyutilitycannot import name %Snumpy.import_arraynumpy._core._multiarray_umathnumpy.core._multiarray_umath_ARRAY_API_ARRAY_API is not PyCapsule object_ARRAY_API is NULL pointermodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule was compiled against NumPy C-API version 0x%x (NumPy 1.20) but the running NumPy has C-API version 0x%x. Check the section C-API incompatibility at the Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for indications on how to solve this problem.FATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimepandas._pandas_datetime_CAPIExpected %s, got %.200sneeds an argumentcheck_na_tuples_nonequalis_matching_nachecknullisnaobjarrisposinf_scalarpandas._libs.missing.isposinf_scalarisneginf_scalarpandas._libs.missing.isneginf_scalaris_pdna_or_nonepandas._libs.missing.is_pdna_or_nonevaluesBuffer has wrong number of dimensions (expected %d, got %d)Item size of buffer (%zd byte%s) does not match size of '%s' (%zd byte%s)buffer dtypeBig-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'end'Buffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s''bool''char''signed char''unsigned char''short''unsigned short''int''unsigned int''long''unsigned long''long long''unsigned long long''complex float''float''complex double''double''complex long double''long double'a structPython objecta pointera stringunparsable format stringExpected a dimension of size %zu, got %zuExpected %d dimensions, got %dBuffer dtype mismatch; next field is at offset %zd but %zd expectedPython does not define a standard format string size for long double ('g')..Unexpected format string character: '%c'Cannot handle repeated arrays in format stringExpected a dimension of size %zu, got %dExpected a comma in format string, got '%c'Expected %d dimension(s), got %dUnexpected end of format string, expected ')'Does not understand character buffer dtype format string ('%c')uint8_tis_numeric_napandas._libs.missing.is_numeric_na_create_binary_propagating_oppandas._libs.missing._create_binary_propagating_opmethodpandas._libs.missing._create_binary_propagating_op.methodis_divmodfree variable '%s' referenced before assignment in enclosing scope'%.200s' object does not support slice %.10sassignmentdeletion_create_unary_propagating_oppandas._libs.missing._create_unary_propagating_oppandas._libs.missing._create_unary_propagating_op.method__mro_entries__ must return a tuplemetaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases__new__pandas._libs.missing.NAType.__new__ while calling a Python objectNULL result without error in PyObject_Call__repr__pandas._libs.missing.NAType.__repr____format__pandas._libs.missing.NAType.__format__str__bool__pandas._libs.missing.NAType.__bool____hash__pandas._libs.missing.NAType.__hash__pandas._libs.missing.NAType.__reduce____pow__pandas._libs.missing.NAType.__pow____rpow__pandas._libs.missing.NAType.__rpow____and__pandas._libs.missing.NAType.__and____or__pandas._libs.missing.NAType.__or____xor__pandas._libs.missing.NAType.__xor____array_ufunc__pandas._libs.missing.NAType.__array_ufunc__cannot fit '%.200s' into an index-sized integer'%.200s' object is not subscriptableMissing type objectCannot convert %.200s to %.200s__pyx_unpickle_C_NATypepandas._libs.missing.__pyx_unpickle_C_NAType__pyx_statean integer is required__int__ returned non-int (type %.200s).  The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.__int__ returned non-int (type %.200s)picklePickleErrorIncompatible checksums (0x%x vs (0x%x, 0x%x, 0x%x) = (%s))
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