d3fd161765b9c9652fab403bcc59fcbc8e40cfe9,lexos/processors/analyze/topword.py,,analyze_group_to_group,#,190

Before Change

    assert np.size(words) > 0, EMPTY_NP_ARRAY_MESSAGE

    // initialize the value to return
    all_results = {}

    // find the total word count of each group
    group_lists = [np.sum(value, axis=0)
                   for _, value in enumerate(group_values)]

After Change

    comp_map = [(i_index, j_index)
                for (i_index, j_index) in comp_map if i_index < j_index]

    analysis_result = [_z_test_word_list_(count_list_i=group_lists[comp_index],
                                          count_list_j=group_lists[base_index],
                                          words=words)
                       for comp_index, base_index in comp_map]

    header_list = ["Class "" + class_labels[comp_index] +
                    "" compared to Class: " + class_labels[base_index]
                    for comp_index, base_index in comp_map]

    // put two lists together as a human readable result
    readable_results = list(zip(header_list, analysis_result))

    return readable_results

Instances