huggingface / setfit 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).

Learn more...

Conditional Complexity Overall

There are 469 units with 5,797 lines of code in units (48.5% of code).

0 very complex units (0 lines of code)
1 complex units (51 lines of code)
21 medium complex units (1,001 lines of code)
47 simple units (1,385 lines of code)
400 very simple units (3,360 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 __post_init__() in src/setfit/training_args.py	51	31	1
def read_dataset() in scripts/adapet/ADAPET/src/data/RecordReader.py	73	22	3
def to_dict() in src/setfit/model_card.py	63	21	1
def train() in scripts/setfit/run_fewshot_distillation.py	78	19	1
def get_eval_wsc_logits() in scripts/adapet/ADAPET/src/adapet.py	43	18	4
def plot_summary_comparison() in scripts/plot_summary_comparison.py	48	17	1
def main() in scripts/adapet/ADAPET/setfit_adapet.py	64	17	1
def call_adapet() in scripts/adapet/ADAPET/cli.py	40	16	1
def main() in scripts/setfit/run_fewshot.py	84	16	0
def train() in scripts/adapet/ADAPET/src/train.py	53	15	1
def read_dataset() in scripts/adapet/ADAPET/src/data/WSCReader.py	55	14	3
def create_model_card() in src/setfit/span/modeling.py	37	13	3
def evaluate() in src/setfit/trainer.py	38	13	3
def set_train_set_metrics() in src/setfit/model_card.py	42	13	2
def infer_dataset_id() in src/setfit/model_card.py	30	13	2
def on_evaluate() in src/setfit/notebook.py	33	12	6
def prepare_pet_mlm_batch() in scripts/adapet/ADAPET/src/data/COPAReader.py	47	12	3
def get_eval_multilbl_logits() in scripts/adapet/ADAPET/src/adapet.py	39	12	4
def generate_multilabel_pairs() in src/setfit/sampler.py	12	11	1
def export_sklearn_head_to_onnx() in src/setfit/exporters/onnx.py	35	11	2
def forward() in src/setfit/losses.py	48	11	4
def create_summary_table() in scripts/create_summary_table.py	39	11	1
def _validate_column_mapping() in src/setfit/trainer.py	33	10	2
def jsonl_from_dataset() in scripts/adapet/ADAPET/setfit_adapet.py	36	10	4
def my_collate_fn() in scripts/adapet/ADAPET/src/data/Batcher.py	22	10	1
def __init__() in scripts/adapet/ADAPET/src/data/DatasetReader.py	28	10	4
def __init__() in scripts/adapet/ADAPET/src/eval/Scorer.py	44	10	3
def main() in scripts/setfit/run_zeroshot.py	82	10	0
def predict() in src/setfit/span/modeling.py	21	9	4
def generate_pairs() in src/setfit/sampler.py	12	9	1
def write_seed_output() in scripts/adapet/ADAPET/utilcode.py	29	9	7
def fix_intent() in scripts/adapet/ADAPET/utilcode.py	27	9	3
def __init__() in scripts/setfit/run_fewshot_distillation.py	54	9	6
def gold_aspect_spans_to_aspects_list() in src/setfit/span/modeling.py	28	8	2
def set_label_examples() in src/setfit/model_card.py	20	8	2
def multiling_verb_pattern() in scripts/adapet/ADAPET/utilcode.py	26	8	3
def write_generic_json() in scripts/adapet/ADAPET/setfit_adapet.py	46	8	5
def prepare_pet_batch_multi_token_label() in scripts/adapet/ADAPET/src/data/GenericReader.py	31	8	3
def prepare_pet_batch() in scripts/adapet/ADAPET/src/data/COPAReader.py	47	8	3
def _compute_acc() in scripts/adapet/ADAPET/src/eval/Scorer.py	24	8	1
def collate_fn() in src/setfit/data.py	14	7	2
def get_max_num_lbl_tok() in scripts/adapet/ADAPET/setfit_adapet.py	13	7	4
def tokenize_pet_mlm_txt() in scripts/adapet/ADAPET/src/data/tokenize.py	44	7	7
def prepare_pet_batch() in scripts/adapet/ADAPET/src/data/RecordReader.py	44	7	3
def read_dataset() in scripts/adapet/ADAPET/src/data/COPAReader.py	46	7	3
def prepare_eval_pet_batch() in scripts/adapet/ADAPET/src/data/COPAReader.py	45	7	3
def _compute_f1() in scripts/adapet/ADAPET/src/eval/Scorer.py	31	7	1
def add_batch() in scripts/adapet/ADAPET/src/eval/Scorer.py	23	7	6
def __init__() in scripts/adapet/ADAPET/src/adapet.py	29	7	4
def get_multilbl_logits() in scripts/adapet/ADAPET/src/adapet.py	27	7	4