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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 lookup_hist(self, mh):
 """Return histogram within binning of Histdd mh, with values looked up in this histogram. This is not rebinning: no interpolation /renormalization is performed. It's just a lookup. """

        result = mh.similar_blank_histogram()
        points = np.stack([mh.all_axis_bin_centers(i)
                           for i in range(mh.dimensions)]).reshape(mh.dimensions, -1)
        values = self.lookup(*points)
        result.histogram = values.reshape(result.histogram.shape)
        return result