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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 to_hierarchical(self, n_repeat, n_shuffle=1):
 """ Return a MultiIndex reshaped to conform to the shapes given by n_repeat and n_shuffle. .. deprecated:: 0.24.0 Useful to replicate and rearrange a MultiIndex for combination with another Index with n_repeat items. Parameters n_repeat : int Number of times to repeat the labels on self n_shuffle : int Controls the reordering of the labels. If the result is going to be an inner level in a MultiIndex, n_shuffle will need to be greater than one. The size of each label must divisible by n_shuffle. Returns ------- MultiIndex Examples -------- (2, 'one'), (2, 'two')]) MultiIndex(levels=[[1, 2], ['one', 'two']], codes=[[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1], [0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1]]) """

        levels = self.levels
        codes = [np.repeat(level_codes, n_repeat) for
                 level_codes in self.codes]
        # Assumes that each level_codes is divisible by n_shuffle
        codes = [x.reshape(n_shuffle, -1).ravel(order='F') for x in codes]
        names = self.names
        warnings.warn("Method .to_hierarchical is deprecated and will "
                      "be removed in a future version",
                      FutureWarning, stacklevel=2)
        return MultiIndex(levels=levels, codes=codes, names=names)