import numpy as np


def prepare_shape_strides_dtype(shape, strides, dtype, order):
    dtype = np.dtype(dtype)
    if isinstance(shape, int):
        shape = (shape,)
    if isinstance(strides, int):
        strides = (strides,)
    else:
        strides = strides or _fill_stride_by_order(shape, dtype, order)
    return shape, strides, dtype


def _fill_stride_by_order(shape, dtype, order):
    nd = len(shape)
    if nd == 0:
        return ()
    strides = [0] * nd
    if order == 'C':
        strides[-1] = dtype.itemsize
        for d in reversed(range(nd - 1)):
            strides[d] = strides[d + 1] * shape[d + 1]
    elif order == 'F':
        strides[0] = dtype.itemsize
        for d in range(1, nd):
            strides[d] = strides[d - 1] * shape[d - 1]
    else:
        raise ValueError('must be either C/F order')
    return tuple(strides)