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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 _rolling_window(self, array, size):
 """ Compute rolling windows of width ``size`` of the given array. Return a numpy 2D stride array, where rows are the windows, each of ``size`` elements. :param array: the data array :type array: numpy 1D array (n) :param int size: the width of each window :rtype: numpy 2D stride array (n // size, size) """

        shape = array.shape[:-1] + (array.shape[-1] - size + 1, size)
        strides = array.strides + (array.strides[-1],)
        return numpy.lib.stride_tricks.as_strided(array, shape=shape, strides=strides)