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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 UpdateSet(self, dataset):
 """Updates each hypothesis based on the dataset. This is more efficient than calling Update repeatedly because it waits until the end to Normalize. Modifies the suite directly; if you want to keep the original, make a copy. dataset: a sequence of data returns: the normalizing constant """

        for data in dataset:
            for hypo in self.Values():
                like = self.Likelihood(data, hypo)
                self.Mult(hypo, like)
        return self.Normalize()