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alkaline-ml / pandas python

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pandas / _libs / missing.pypy36-pp73-x86_64-linux-gnu.so
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    NA ("not available") missing value indicator.

    .. warning::

       Experimental: the behaviour of NA can still change without warning.

    .. versionadded:: 1.0.0

    The NA singleton is a missing value indicator defined by pandas. It is
    used in certain new extension dtypes (currently the "string" dtype).
    _create_binary_propagating_opndarray is not C contiguous_create_unary_propagating_oppandas._libs.ops_dispatchpandas/_libs/missing.pyx__pyx_unpickle_C_NATypepandas._libs.missing' not supported for NANAType.__array_ufunc__index out of boundscline_in_tracebackis_platform_32bitbroadcast_arrays__setstate_cython____pyx_PickleErrorisposinf_scalarisneginf_scalar'arr' must be 2-D.'arr' must be 1-D.NAType.__reduce____array_priority__NotImplemented__reduce_cython__pandas.compatisnaobj2d_oldNAType.__rpow__NAType.__repr__NAType.__hash__NAType.__bool___HANDLED_TYPESufunc method 'stringsource__pyx_checksumRuntimeErrorNAType.__xor__NAType.__pow__NAType.__new__NAType.__and__isnaobj_old__array_ufunc__PickleErrorNAType.__or__ImportError__pyx_resultdateoffsetValueErrorIndexError__rfloordiv____reduce_ex____pyx_state__metaclass__isnaobj2dis_divmodenumerateTypeError__setstate____rtruediv____qualname____pyx_type__pyx_capi___instance__getstate____floordiv__exponentC_NATypeunicode__truediv____rmatmul____rdivmod____prepare__numbersndarrayupdatereturnresult__reduce__pickleperiodobject__name____module__method__matmul__kwargs__invert__inputs__import____divmod____bool__NumberNATypezeroswhereuint8ufunctypesshaperangeothernumpyindexemptydtypeviewtype__test__self__rxor____rsub____rpow____rmul____rmod____repr____rand____radd__noutndimname__main__item__hash____dict__copy__call__bool_args<NA>C_NA__xor__val_typ__sub____ror____pow____pos__out__new____neg____mul____mod__inf__doc__clsarr__and____add____abs____or__np__ne____lt____le____gt____ge____eq__NAxnmji%s() got multiple values for keyword argument '%U'%.200s() keywords must be strings%s() got an unexpected keyword argument '%U'Buffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s'%.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 arguments%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%.200s does not export expected C variable %.200sC variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)%.200s does not export expected C function %.200sC function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)__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 objectDoes not understand character buffer dtype format string ('%c')Cannot convert %.200s to %.200spandas._libs.missing.NAType.__hash__pandas._libs.missing._create_unary_propagating_op%.200s() takes %.8s %zd positional argument%.1s (%zd given)pandas._libs.missing._create_binary_propagating_op__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.__%.4s__ returned non-%.4s (type %.200s)calling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptionpandas._libs.missing.NAType.__bool__Argument '%.200s' has incorrect type (expected %.200s, got %.200s)Unexpected format string character: '%c'Expected a dimension of size %zu, got %zuExpected %d dimensions, got %dPython does not define a standard format string size for long double ('g')..Buffer dtype mismatch; next field is at offset %zd but %zd expectedBig-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'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 ')'Buffer 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)pandas._libs.missing.checknull_oldtoo many values to unpack (expected %zd)pandas._libs.missing.isposinf_scalarpandas._libs.missing.isneginf_scalarpandas._libs.missing._create_unary_propagating_op.methodpandas._libs.missing.C_NAType.__reduce_cython__pandas._libs.missing.NAType.__xor__pandas._libs.missing.NAType.__and__pandas._libs.missing.NAType.__or__object of type 'NoneType' has no len()hasattr(): attribute name must be stringpandas._libs.missing.__pyx_unpickle_C_NAType__set_statepandas._libs.missing.C_NAType.__setstate_cython__pandas._libs.missing.__pyx_unpickle_C_NATypepandas._libs.missing.NAType.__new__pandas._libs.missing.NAType.__rpow__pandas._libs.missing.NAType.__pow__pandas._libs.missing._check_none_nan_inf_neginfpandas._libs.missing.isnaobj_oldfree variable '%s' referenced before assignment in enclosing scopepandas._libs.missing._create_binary_propagating_op.methodpandas._libs.missing.NAType.__array_ufunc__need more than %zd value%.1s to unpackpandas._libs.missing.isnaobj2d_oldpandas._libs.missing.isnaobj2dcompiletime 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 recompilingstruct __pyx_obj_6pandas_5_libs_7missing_C_NAType *int (PyObject *, int __pyx_skip_dispatch)PyArrayObject *(PyArrayObject *, int __pyx_skip_dispatch)Unable to initialize pickling for %sstruct __pyx_obj_6pandas_5_libs_6tslibs_7nattype__NaT *int (PyObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_6pandas_5_libs_6tslibs_7nattype_is_null_datetimelike *__pyx_optional_args)numpy.core.multiarray failed to import_ARRAY_API is not PyCapsule objectmodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule compiled against API version 0x%x but this version of numpy is 0x%xFATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimemetaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its basespandas._libs.tslibs.np_datetimepandas._libs.missing.__pyx_scope_struct___create_binary_propagating_opð?ð¿;<f¥þÿX¬þÿ ¬þÿXt¬þÿ¬þÿ(þÿt®þÿ¸u¯þÿ	v°þÿ¸Àÿÿÿÿ° ÿÿÈ0ÿÿà@ÿÿøPÿÿpÿÿ(ðÿÿ@ÿÿX ÿÿp0ÿÿ@ÿÿ `ÿÿ¸àÿÿÐðÿÿèÿÿ@ÿÿÿÿ0ÐÿÿHÿÿhPÿÿÿÿ¨À	ÿÿ`
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     - np.datetime64 representation of NaT
     - np.timedelta64 representation of NaT

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

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    -------
    result : ndarray (dtype=np.bool_)

    Notes
    -----
    The difference between `isnaobj2d` and `isnaobj2d_old` is that `isnaobj2d`
    does *not* consider INF or NEGINF to be NA.
    
    Return boolean mask denoting which elements of a 2-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

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

    Returns
    -------
    result : ndarray (dtype=np.bool_)

    Notes
    -----
    The difference between `isnaobj2d` and `isnaobj2d_old` is that `isnaobj2d`
    does *not* consider INF or NEGINF to be NA.
    
    Return boolean mask denoting which elements of a 1-D array are na-like,
    defined as being any of:
     - None
     - nan
     - INF
     - NEGINF
     - NaT

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

    Returns
    -------
    result : ndarray (dtype=np.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

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

    Returns
    -------
    result : ndarray (dtype=np.bool_)
    
    Return boolean describing of the input is NA-like, defined here as any
    of:
     - None
     - nan
     - INF
     - NEGINF
     - NaT
     - np.datetime64 representation of NaT
     - np.timedelta64 representation of NaT

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

    Returns
    -------
    result : bool

    Notes
    -----
    The difference between `checknull` and `checknull_old` is that `checknull`
    does *not* consider INF or NEGINF to be NA.
    
    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

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

    Returns
    -------
    result : bool

    Notes
    -----
    The difference between `checknull` and `checknull_old` is that `checknull`
    does *not* consider INF or NEGINF to be NA.
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