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- def get_summed_tfidf(idx_list, len_output):
- if len(idx_list) == 0:
- return np.zeros(len_output)
- elif idx_list[0] == -1:
- return word_data_all_summed
- else:
- word_data = tfidf_vectors[idx_list, :]
- word_data = word_data.sum(axis=0)
- word_data = np.squeeze(np.asarray(word_data))
- return word_data
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