(
        mapping: Mapping, dtype: Optional[DType] = None
)
return mapper
Wrap a `mapping` into a callable ufunc-like function with
    `out`, `dtype`, `where`, ... parameters. If `dtype` is passed to
    `make_dict_mapper` it is used as a the default return dtype,
    otherwise the default dtype is `object`.
Wrap a `mapping` into a callable ufunc-like function with
    `out`, `dtype`, `where`, ... parameters. If `dtype` is passed to
    `make_dict_mapper` it is used as a the default return dtype,
    otherwise the default dtype is `object`.
Wrap a mapping into a callable ufunc - like function with out dtype where ... parameters . If dtype is passed to make_dict_mapper it is used as a the default return dtype otherwise the default dtype is object .
def make_dict_mapper(
        mapping: Mapping, dtype: Optional[DType] = None
) -> Callable:
    """
    Wrap a `mapping` into a callable ufunc-like function with
    `out`, `dtype`, `where`, ... parameters. If `dtype` is passed to
    `make_dict_mapper` it is used as a the default return dtype,
    otherwise the default dtype is `object`.
    """
    _vmapper = np.frompyfunc(mapping.__getitem__, 1, 1)

    def mapper(arr, out=None, dtype=dtype, **kwargs):
        arr = np.asanyarray(arr)
        if out is None and dtype is not None and arr.shape != ():
            out = np.empty_like(arr, dtype)
        return _vmapper(arr, out, dtype=dtype, **kwargs)
    return mapper
def make_dict_mapper ( mapping : Mapping , dtype : Optional [ DType ] = None ) -> Callable : _vmapper = np . frompyfunc ( mapping . __getitem__ , 1 , 1 ) def mapper ( arr , out = None , dtype = dtype , * * kwargs ) : arr = np . asanyarray ( arr ) if out is None and dtype is not None and arr . shape != ( ) : out = np . empty_like ( arr , dtype ) return _vmapper ( arr , out , dtype = dtype , * * kwargs ) return mapper