huggingface / dataspeech 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 30 units with 620 lines of code in units (38.4% of code).

1 very complex units (202 lines of code)
0 complex units (0 lines of code)
3 medium complex units (130 lines of code)
11 simple units (218 lines of code)
15 very simple units (70 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 30 most complex units

Unit	# lines	McCabe index	# params
def main() in scripts/run_prompt_creation.py	202	55	0
def speaker_level_relative_to_gender() in scripts/metadata_to_text.py	48	20	12
def bins_to_text() in scripts/metadata_to_text.py	34	16	12
def snr_apply() in dataspeech/gpu_enrichments/snr_and_reverb.py	48	11	4
def visualize_bins_to_text() in scripts/metadata_to_text.py	22	10	9
def filter_stems() in scripts/filter_audio_separation.py	21	9	2
def squim_apply() in dataspeech/gpu_enrichments/squim.py	32	8	3
def pitch_apply() in dataspeech/gpu_enrichments/pitch.py	38	8	5
def rate_apply() in dataspeech/cpu_enrichments/rate.py	32	8	4
def get_last_checkpoint() in scripts/run_prompt_creation.py	17	7	2
def sorted_checkpoints() in scripts/run_prompt_creation.py	10	6	1
def rotate_checkpoints() in scripts/run_prompt_creation.py	11	6	2
def sorted_checkpoints() in scripts/run_prompt_creation_llm_swarm.py	10	6	1
def rotate_checkpoints() in scripts/run_prompt_creation_llm_swarm.py	11	6	2
def get_last_checkpoint() in scripts/run_prompt_creation_llm_swarm.py	14	6	1
def map_gender() in scripts/per_dataset_script/add_gender_to_libritts_r.py	3	4	1
def map_gender() in scripts/per_dataset_script/add_gender_to_MLS.py	3	4	1
def get_quantization_config() in scripts/run_prompt_creation.py	18	4	1
def __call__() in scripts/run_prompt_creation.py	4	4	4
def __post_init__() in scripts/run_prompt_creation.py	3	3	1
def __post_init__() in scripts/run_prompt_creation_llm_swarm.py	5	3	1
def get_current_device() in scripts/run_prompt_creation.py	2	2	0
def get_kbit_device_map() in scripts/run_prompt_creation.py	2	2	0
def save_checkpoint() in scripts/run_prompt_creation.py	6	2	3
def load_checkpoint() in scripts/run_prompt_creation.py	6	2	1
def filter_speakers() in scripts/per_dataset_script/clean_libritts_r.py	2	1	2
def filter_samples() in scripts/per_dataset_script/clean_libritts_r.py	2	1	2
def wrap_audio() in scripts/filter_audio_separation.py	5	1	2
def save_checkpoint() in scripts/run_prompt_creation_llm_swarm.py	5	1	3
def load_checkpoint() in scripts/run_prompt_creation_llm_swarm.py	4	1	1