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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:

def rle_decode(mask_rle:str, shape:Tuple[int,int])->NPArrayMask:
    "Return an image array from run-length encoded string `mask_rle` with `shape`."
    s = mask_rle.split()
    starts, lengths = [np.asarray(x, dtype=int) for x in (s[0:][::2], s[1:][::2])]
    starts -= 1
    ends = starts + lengths
    img = np.zeros(shape[0]*shape[1], dtype=np.uint)
    for low, up in zip(starts, ends): img[low:up] = 1
    return img.reshape(shape)