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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 score_braycurtis(self, term1, term2, **kwargs):
 """ Compute a weighting score based on the "City Block" distance between the kernel density estimates of two terms. Args: term1 (str) term2 (str) Returns: float """


        t1_kde = self.kde(term1, **kwargs)
        t2_kde = self.kde(term2, **kwargs)

        return 1-distance.braycurtis(t1_kde, t2_kde)