twitter / communitynotesConditional Complexity

Intro

Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
Conditional complexity is measured at the unit level (methods, functions...).
Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).

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Conditional Complexity Overall

There are 399 units with 4,167 lines of code in units (38.1% of code).

0 very complex units (0 lines of code)
2 complex units (170 lines of code)
8 medium complex units (313 lines of code)
20 simple units (598 lines of code)
369 very simple units (3,086 lines of code)

Legend:

51+

26-50

11-25

6-10

1-5

Alternative Visuals

3D view of all units

Conditional Complexity per Extension

51+

26-50

11-25

6-10

1-5

Conditional Complexity per Logical Component

primary logical decomposition

51+

26-50

11-25

6-10

1-5

Most Complex Units

Top 50 most complex units

Unit	# lines	McCabe index	# params
def safe_join() in sourcecode/scoring/pandas_utils.py	109	33	1
def _update_single_note_status_history() in sourcecode/scoring/note_status_history.py	61	29	3
def safe_concat() in sourcecode/scoring/pandas_utils.py	51	23	1
def safe_merge() in sourcecode/scoring/pandas_utils.py	76	22	1
def _get_check() in sourcecode/scoring/pandas_utils.py	27	13	3
def _get_pair_counts_dict() in sourcecode/scoring/post_selection_similarity.py	25	13	2
def _get_pair_ratings_df_optimized() in sourcecode/scoring/post_selection_similarity_old.py	39	13	2
def _get_pair_counts_df_dict() in sourcecode/scoring/post_selection_similarity_old.py	33	12	2
def _get_pair_counts() in sourcecode/scoring/post_selection_similarity_old.py	34	12	2
def _train_one_round() in sourcecode/scoring/reputation_matrix_factorization/reputation_matrix_factorization.py	28	11	4
def score_final() in sourcecode/scoring/mf_base_scorer.py	83	10	2
def _get_pair_tuples_optimized() in sourcecode/scoring/post_selection_similarity_old.py	18	10	2
def _get_pair_tuples() in sourcecode/scoring/post_selection_similarity_old.py	26	9	2
def _prepare_diligence_init_state() in sourcecode/scoring/reputation_matrix_factorization/diligence_model.py	16	9	2
def _get_feature_pipeline() in sourcecode/scoring/pflip_model.py	72	8	1
def _create_dataset_with_extreme_rating_on_each_note() in sourcecode/scoring/matrix_factorization/pseudo_raters.py	26	8	2
def score_final() in sourcecode/scoring/scorer.py	69	8	2
def _get_callsite() in sourcecode/scoring/pandas_utils.py	21	7	1
def _check_name_and_type() in sourcecode/scoring/pandas_utils.py	21	7	3
def coalesce_columns() in sourcecode/scoring/mf_base_scorer.py	13	7	2
def _set_top_tags() in sourcecode/scoring/explanation_tags.py	10	7	1
def aggregate_into_cliques() in sourcecode/scoring/post_selection_similarity.py	30	7	1
def aggregate_into_cliques() in sourcecode/scoring/post_selection_similarity_old.py	32	7	1
def _make_seed_labels() in sourcecode/scoring/topic_model.py	16	7	2
def _get_stop_words() in sourcecode/scoring/topic_model.py	12	7	2
def _validate_dataframe() in sourcecode/scoring/pandas_utils.py	13	6	2
def patch_pandas() in sourcecode/scoring/pandas_utils.py	23	6	1
def merge_note_info() in sourcecode/scoring/note_status_history.py	42	6	2
def _set_note_sign_weights() in sourcecode/scoring/matrix_factorization/normalized_loss.py	47	6	3
def _get_pair_tuples_parallel() in sourcecode/scoring/post_selection_similarity_old.py	8	6	2
def assert_train_error_is_below_threshold() in sourcecode/scoring/mf_base_scorer.py	11	5	3
def _freeze_parameters() in sourcecode/scoring/matrix_factorization/model.py	7	5	2
def _add_extreme_raters_to_id_maps_and_params() in sourcecode/scoring/matrix_factorization/pseudo_raters.py	37	5	1
def _add_deprecated_columns() in sourcecode/scoring/run_scoring.py	12	5	1
def _get_pair_tuples_process_group() in sourcecode/scoring/post_selection_similarity_old.py	15	5	2
def _get_value() in sourcecode/scoring/scoring_rules.py	10	5	1
def get_df_fingerprint() in sourcecode/scoring/pandas_utils.py	10	4	2
def log_errors() in sourcecode/scoring/pandas_utils.py	10	4	4
def get_summary() in sourcecode/scoring/pandas_utils.py	11	4	1
def _log_errors() in sourcecode/scoring/pandas_utils.py	8	4	4
def safe_apply() in sourcecode/scoring/pandas_utils.py	9	4	1
def _aggregate_note_params() in sourcecode/scoring/matrix_factorization/pseudo_raters.py	54	4	3
def _merge_predictions_and_labels() in sourcecode/scoring/topic_model.py	5	4	3
def _prepare_post_text() in sourcecode/scoring/topic_model.py	12	4	2
def init_parameter() in sourcecode/scoring/reputation_matrix_factorization/reputation_matrix_factorization.py	24	4	7
def keep_columns() in sourcecode/scoring/pandas_utils.py	3	3	2
def _get_bucket_count_totals() in sourcecode/scoring/pflip_model.py	19	3	3
def scorers_from_csv() in sourcecode/scoring/enums.py	8	3	1
def check_flips() in sourcecode/scoring/note_status_history.py	9	3	2
def _create_extreme_ratings() in sourcecode/scoring/matrix_factorization/pseudo_raters.py	14	3	1