alibaba / LucaProt

Intro

Unit size measurements show the distribution of size of units of code (methods, functions...).
Units are classified in four categories based on their size (lines of code): 1-20 (small units), 20-50 (medium size units), 51-100 (long units), 101+ (very long units).
You should aim at keeping units small (< 20 lines). Long units may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.

Learn more...

Unit Size Overall

There are 488 units with 10,693 lines of code in units (52.0% of code).

15 very long units (2,650 lines of code)
31 long units (2,293 lines of code)
74 medium size units (2,586 lines of code)
120 small units (1,824 lines of code)
248 very small units (1,340 lines of code)

Legend:

101+

51-100

21-50

11-20

1-10

Unit Size per Extension

101+

51-100

21-50

11-20

1-10

Unit Size per Logical Component

primary logical decomposition

101+

51-100

21-50

11-20

1-10

Alternative Visuals

3D view of all units

Longest Units

Top 50 longest units

Unit	# lines	McCabe index	# params
def main() in src/run.py	680	64	0
def predict() in src/predictor.py	214	31	8
def __init__() in src/SSFN/model.py	194	79	3
def trainer() in src/deep_baselines/run.py	179	57	6
def trainer() in src/baselines/dnn.py	178	57	6
def evaluate() in src/evaluater.py	148	21	8
def virus_rdrp_identification() in src/app/app.py	141	28	2
def __init__() in src/deep_baselines/virtifier.py	131	50	3
def run() in src/deep_baselines/run.py	125	37	0
def __init__() in src/deep_baselines/virseeker.py	122	52	3
def __init__() in src/deep_baselines/cheer.py	111	45	3
def main() in src/predict_many_samples.py	110	4	0
def run() in src/baselines/lgbm.py	108	24	0
def __init__() in src/deep_baselines/virhunter.py	105	42	3
def main() in src/predict_one_sample.py	104	4	0
def __init__() in src/deep_baselines/cheer.py	97	41	3
def __init__() in src/baselines/dnn.py	97	44	3
def run() in src/baselines/xgb.py	96	23	0
def __init__() in src/deep_baselines/cheer.py	95	40	3
def train_with_grid_search() in src/baselines/lgbm.py	93	12	4
def predict() in src/deep_baselines/run.py	92	19	5
def main() in src/protein_structure/embedding_from_esmfold.py	91	29	1
def predict() in src/baselines/dnn.py	91	19	5
def generate_map_for_pdb() in src/biotoolbox/contact_map_builder.py	90	12	2
def train_with_grid_search() in src/baselines/xgb.py	90	10	6
def run() in src/baselines/dnn.py	86	22	0
def predict_for_structure() in src/protein_structure/structure_from_esm_v1.py	84	20	4
def main() in src/deep_baselines/run.py	76	11	0
def evaluate() in src/deep_baselines/run.py	74	13	5
def evaluate() in src/baselines/dnn.py	73	13	5
def metrics_multi_label() in src/common/multi_label_metrics.py	71	14	3
def args2config() in src/deep_baselines/run.py	68	32	2
def load_dataset() in src/deep_baselines/run.py	67	15	4
def load_tf_weights_in_bert() in src/SSFN/modeling_bert.py	65	23	3
def main() in src/result_process/process_predict_result.py	64	17	4
def create_parser() in src/protein_structure/embedding_from_esmfold.py	64	1	0
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 main() in src/baselines/dnn.py	58	4	0
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 trainer() in src/baselines/lgbm.py	55	11	4
def _create_examples_bak() in src/data_loader.py	54	14	7
def trainer() in src/baselines/xgb.py	53	10	4
def run() in src/baselines/predict.py	51	17	1
def _convert_numpy_folder() in src/data_preprocess/data_preprocess_for_rdrp_v2.py	50	7	2
def predict_embedding() in src/protein_structure/predict_structure.py	50	14	6
def forward() in src/deep_baselines/cheer.py	49	19	4
def _serialize_example() in src/data_preprocess/data_preprocess_for_rdrp_v2.py	49	22	6