c9e73e23d952569574d23aafad6479caa5828b49,examples/np_semantic_segmentation/feature_extraction.py,PalmettoClass,get_pmi_score,#PalmettoClass#Any#,38

Before Change

            // in order to normalize it
            candidates.extend(candidates[0])
        response_list = []
        try:
            response_list.append(
                self.palmetto.get_coherence(candidates, coherence_type="npmi"))
            response_list.append(
                self.palmetto.get_coherence(candidates, coherence_type="uci"))
        except CoherenceTypeNotAvailable:
            response_list.extend([0, 0])
        except EndpointDown:
            response_list.extend([0, 0])
        return response_list


def stem(w):

After Change

        response_list = []
        try:
            pmi_score = self.pmi_dict[tuple(candidates)]
            if pmi_score:
                response_list.append(pmi_score[0])
            else:
                response_list.append(0)
            chi_sq_score = self.chi_sq_dict[tuple(candidates)]
            if chi_sq_score:
                response_list.append(chi_sq_score[0])
            else:

Instances