huggingface / open_asr_leaderboard 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 49 units with 1,800 lines of code in units (36.6% of code).

1 very complex units (200 lines of code)
4 complex units (379 lines of code)
8 medium complex units (716 lines of code)
7 simple units (176 lines of code)
29 very simple units (329 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 49 most complex units

Unit	# lines	McCabe index	# params
def process_words() in normalizer/normalizer.py	200	94	2
def main() in transformers/run_eval.py	103	33	1
def main() in nemo_asr/run_eval.py	102	32	1
def main() in liteASR/run_eval.py	99	29	1
def score_results() in normalizer/eval_utils.py	75	26	2
def main() in moonshine/run_eval.py	81	25	1
def main() in tensorrtllm/run_eval.py	101	23	1
def main() in kyutai/run_eval.py	104	16	1
def __init__() in normalizer/normalizer.py	98	15	1
def main() in phi/run_eval.py	97	14	1
def main() in speechbrain/run_eval.py	76	13	1
def main() in granite/run_eval.py	98	12	1
def main() in ctranslate2/run_eval.py	61	12	1
def get_tokenizer() in tensorrtllm/whisper_utils.py	37	8	3
def process_sample() in api/run_eval.py	41	7	1
def fetch_audio_urls() in api/run_eval.py	35	6	5
def longest_common_substring() in tensorrtllm/run_eval.py	15	6	2
def remove_symbols_and_diacritics() in normalizer/normalizer.py	12	6	2
def preprocess() in normalizer/normalizer.py	20	6	2
def get_text() in normalizer/data_utils.py	16	6	1
def process_batch() in tensorrtllm/run_eval.py	29	5	5
def __call__() in phi/run_eval.py	7	4	4
def postprocess() in normalizer/normalizer.py	18	4	2
def __init__() in tensorrtllm/run_eval.py	35	3	4
def remove_symbols() in normalizer/normalizer.py	2	3	1
def __call__() in normalizer/normalizer.py	5	3	2
def __call__() in normalizer/normalizer.py	17	3	2
def read_manifest() in normalizer/eval_utils.py	8	3	1
def process_single_batch() in tensorrtllm/run_eval.py	19	2	5
def chunk_audio() in tensorrtllm/run_eval.py	10	2	4
def mel_filters() in tensorrtllm/whisper_utils.py	11	2	3
def __init__() in normalizer/normalizer.py	3	2	3
def __call__() in normalizer/normalizer.py	9	2	2
def __call__() in normalizer/normalizer.py	2	2	2
def is_target_text_in_range() in normalizer/data_utils.py	5	2	1
def prepare_data() in normalizer/data_utils.py	5	2	1
def get_model() in speechbrain/run_eval.py	6	1	0
def transcribe_with_retry() in api/run_eval.py	6	1	0
def transcribe_dataset() in api/run_eval.py	8	1	0
def __init__() in phi/run_eval.py	4	1	3
def read_config() in tensorrtllm/run_eval.py	9	1	2
def log_mel_spectrogram() in tensorrtllm/whisper_utils.py	7	1	0
def __init__() in normalizer/normalizer.py	2	1	2
def __init__() in normalizer/normalizer.py	55	1	2
def normalize() in normalizer/data_utils.py	4	1	1
def load_data() in normalizer/data_utils.py	9	1	1
def write_manifest() in normalizer/eval_utils.py	9	1	0
def load_model() in kyutai/run_eval.py	23	1	1
def get_padded_batch() in kyutai/run_eval.py	2	1	0