alibaba / LucaProt - Conditional 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 488 units with 10,693 lines of code in units (52.0% of code).

5 very complex units (1,353 lines of code)
11 complex units (1,275 lines of code)
44 medium complex units (2,677 lines of code)
68 simple units (1,842 lines of code)
360 very simple units (3,546 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 __init__() in src/SSFN/model.py	194	79	3
def main() in src/run.py	680	64	0
def trainer() in src/deep_baselines/run.py	179	57	6
def trainer() in src/baselines/dnn.py	178	57	6
def __init__() in src/deep_baselines/virseeker.py	122	52	3
def __init__() in src/deep_baselines/virtifier.py	131	50	3
def __init__() in src/deep_baselines/cheer.py	111	45	3
def __init__() in src/baselines/dnn.py	97	44	3
def __init__() in src/deep_baselines/virhunter.py	105	42	3
def __init__() in src/deep_baselines/cheer.py	97	41	3
def __init__() in src/deep_baselines/cheer.py	95	40	3
def run() in src/deep_baselines/run.py	125	37	0
def args2config() in src/deep_baselines/run.py	68	32	2
def predict() in src/predictor.py	214	31	8
def main() in src/protein_structure/embedding_from_esmfold.py	91	29	1
def virus_rdrp_identification() in src/app/app.py	141	28	2
def run() in src/baselines/lgbm.py	108	24	0
def load_tf_weights_in_bert() in src/SSFN/modeling_bert.py	65	23	3
def run() in src/baselines/xgb.py	96	23	0
def _serialize_example() in src/data_preprocess/data_preprocess_for_rdrp_v2.py	49	22	6
def _serialize_example() in src/data_preprocess/data_preprocess_into_tfrecords_for_rdrp.py	47	22	6
def run() in src/baselines/dnn.py	86	22	0
def lat_lon_split() in src/geo_map/standardization_lat_lon_info.py	41	21	1
def load_done_set() in src/protein_structure/embedding_from_esmfold.py	46	21	4
def evaluate() in src/evaluater.py	148	21	8
def read_fasta() in src/data_preprocess/data_preprocess_for_rdrp_v1.py	55	20	2
def read_fasta() in src/data_preprocess/subword.py	55	20	2
def predict_for_structure() in src/protein_structure/structure_from_esm_v1.py	84	20	4
def write_error_samples_binary() in src/common/metrics.py	46	19	10
def predict() in src/deep_baselines/run.py	92	19	5
def forward() in src/deep_baselines/cheer.py	49	19	4
def predict() in src/baselines/dnn.py	91	19	5
def write_error_samples_multi_label() in src/common/multi_label_metrics.py	47	17	11
def main() in src/result_process/process_predict_result.py	64	17	4
def run() in src/baselines/predict.py	51	17	1
def write_error_samples_multi_class() in src/common/metrics.py	46	16	10
def load_dataset() in src/baselines/lgbm.py	63	16	2
def load_dataset() in src/baselines/xgb.py	63	16	2
def load_dataset() in src/baselines/dnn.py	62	16	2
def load_dataset() in src/deep_baselines/run.py	67	15	4
def metrics_multi_label() in src/common/multi_label_metrics.py	71	14	3
def _serialize_example() in src/data_preprocess/tf_records_generator.py	35	14	5
def decode_results() in src/data_preprocess/ncbi_id_2_uniprot.py	23	14	3
def extract_id_for_rdrp() in src/data_preprocess/ncbi_id_2_uniprot.py	45	14	2
def predict_embedding() in src/protein_structure/predict_structure.py	50	14	6
def _create_examples_bak() in src/data_loader.py	54	14	7
def __init__() in src/baselines/dnn.py	42	14	10
def evaluate() in src/deep_baselines/run.py	74	13	5
def create_pooler() in src/SSFN/model.py	41	13	3
def evaluate() in src/baselines/dnn.py	73	13	5