ba5ce0dcacefae377a199b2b6115263528fa8bad,lexos/processors/analyze/topword.py,,analyze_all_to_para,#,96

Before Change

    assert np.size(count_matrix) > 0, EMPTY_NP_ARRAY_MESSAGE

    // initialize the value to return
    all_results = []
    count_matrix_sum = np.sum(count_matrix, axis=0)

    // generate data
    for _, row in enumerate(count_matrix):
        // get analysis result
        word_z_score_dict = _z_test_word_list_(count_list_i=row,
                                               count_list_j=count_matrix_sum,
                                               words=words)

        // sort result and put into result list
        sorted_list = sorted(list(word_z_score_dict.items()),
                             key=lambda item: abs(item[1]),
                             reverse=True)
        all_results.append(sorted_list)

    return all_results


def analyze_para_to_group(group_values: List[np.ndarray], words: np.ndarray) \

After Change

    count_matrix_sum = np.sum(count_matrix, axis=0)

    // generate data
    all_results = [_z_test_word_list_(count_list_i=row,
                                      count_list_j=count_matrix_sum,
                                      words=words)
                   for _, row in enumerate(count_matrix)]

    return all_results

Instances