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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 devectorize_utterance_ohe(self, ohe_utterance):
 """ Take in a sequence of one-hot vectors and transform it into a tokenized utterance """

        ie_utterance = [argmax(w) for w in ohe_utterance]
        utterance = self.ie.inverse_transform(self.swap_pad_and_zero(ie_utterance))

        return utterance