human
Complete the below
def _sanitize_array(data, index, dtype=None, copy=False, raise_cast_failure=False):

    ''''sanitize input data to an ndarray, copy if specified, coerce to the
    dtype if specified'
    '''
 Write me a the Python program you requested?
assistant
#Here is the Python program you requested.
    if (dtype is not None):
        dtype = pandas_dtype(dtype)
    if isinstance(data, ma.MaskedArray):
        mask = ma.getmaskarray(data)
        if mask.any():
            (data, fill_value) = maybe_upcast(data, copy=True)
            data[mask] = fill_value
        else:
            data = data.copy()
    def _try_cast(arr, take_fast_path):
        if take_fast_path:
            if (maybe_castable(arr) and (not copy) and (dtype is None)):
                return arr
        try:
            subarr = maybe_cast_to_datetime(arr, dtype)
            if (not is_extension_type(subarr)):
                subarr = np.array(subarr, dtype=dtype, copy=copy)
        except (ValueError, TypeError):
            if is_categorical_dtype(dtype):
                subarr = Categorical(arr)
            elif ((dtype is not None) and raise_cast_failure):
                raise
            else:
                subarr = np.array(arr, dtype=object, copy=copy)
        return subarr
    if isinstance(data, (np.ndarray, Index, Series)):
        if (dtype is not None):
            subarr = np.array(data, copy=False)
            if (is_float_dtype(data.dtype) and is_integer_dtype(dtype)):
                if (not isna(data).any()):
                    subarr = _try_cast(data, True)
                elif copy:
                    subarr = data.copy()
            else:
                subarr = _try_cast(data, True)
        elif isinstance(data, Index):
            subarr = _sanitize_index(data, index, copy=True)
        else:
            subarr = _try_cast(data, True)
        if copy:
            subarr = data.copy()
    elif isinstance(data, Categorical):
        subarr = data
        if copy:
            subarr = data.copy()
        return subarr
    elif (isinstance(data, (list, tuple)) and (len(data) > 0)):
        if (dtype is not None):
            try:
                subarr = _try_cast(data, False)
            except Exception:
                if raise_cast_failure:
                    raise
                subarr = np.array(data,...