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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 broadcast_to(array, shape, subok=False):
 """Broadcast an array to a new shape. Parameters array : array_like The array to broadcast. shape : tuple The shape of the desired array. subok : bool, optional If True, then sub-classes will be passed-through, otherwise the returned array will be forced to be a base-class array (default). Returns ------- broadcast : array A readonly view on the original array with the given shape. It is typically not contiguous. Furthermore, more than one element of a broadcasted array may refer to a single memory location. Raises ------ ValueError If the array is not compatible with the new shape according to NumPy's broadcasting rules. Notes ----- .. versionadded:: 1.10.0 Examples -------- array([[1, 2, 3], [1, 2, 3], [1, 2, 3]]) """

    return _broadcast_to(array, shape, subok=subok, readonly=True)