ce5da48b8586d7cfdb392b8cad1988e6bfdd17d5,lexos/processors/analyze/similarity.py,,similarity_maker,#Any#Any#,8

Before Change

    // extract the array of name and score out from sorted_docs_list
    docs_name = sorted_docs_np[:, 0]
    docs_score = np.round(sorted_docs_np[:, 1].astype(float), decimals=4)

    // pack the scores and names in data_frame
    score_name_data_frame = pd.DataFrame(docs_score.reshape(

After Change

    docs_name_array = np.asarray([temp_labels[i] for i in other_file_indexes])

    // sort the score array
    sorted_score_array = np.sort(docs_score_array)

    // round the score array to 4 decimals
    final_score_array = np.round(sorted_score_array, decimals=4)

    // sort the
    final_name_array = docs_name_array[docs_score_array.argsort()]

Instances