huggingface / distil-whisper 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 232 units with 6,753 lines of code in units (51.6% of code).

10 very complex units (4,336 lines of code)
0 complex units (0 lines of code)
6 medium complex units (408 lines of code)
18 simple units (361 lines of code)
198 very simple units (1,648 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 main() in training/run_distillation.py	772	103	0
def main() in training/flax/run_finetuning.py	458	95	0
def main() in training/flax/run_distillation.py	851	91	0
def main() in training/flax/run_eval.py	316	88	0
def main() in training/run_eval.py	380	81	0
def main() in training/flax/run_long_form_transcription.py	214	67	0
def main() in training/flax/run_pt_long_form_transcription.py	189	58	0
def main() in training/run_pseudo_labelling.py	460	56	0
def main() in training/flax/run_pseudo_labelling_pt.py	366	56	0
def main() in training/flax/run_speed_pt.py	330	54	0
def main() in training/flax/convert_train_state_to_hf.py	110	25	0
def __call__() in training/flax/distil_whisper/layers.py	128	23	2
def get_forced_decoder_ids() in training/flax/distil_whisper/pipeline.py	39	17	5
def _concatenate_to_cache() in training/flax/distil_whisper/modeling_flax_whisper.py	38	16	5
def convert_scan_to_unroll() in training/flax/distil_whisper/modeling_flax_whisper.py	19	15	3
def preprocess_batch() in training/flax/distil_whisper/pipeline.py	74	13	5
def convert_unroll_to_scan() in training/flax/distil_whisper/modeling_flax_whisper.py	22	10	3
def __call__() in training/flax/run_eval.py	28	10	4
def sorted_checkpoints() in training/run_distillation.py	11	9	2
def __call__() in training/flax/run_pseudo_labelling_pt.py	31	9	4
def __post_init__() in training/run_pseudo_labelling.py	22	8	1
def __call__() in training/run_pseudo_labelling.py	20	8	4
def __call__() in training/flax/run_finetuning.py	25	8	4
def __call__() in training/flax/run_distillation.py	30	8	4
def sorted_checkpoints() in training/flax/run_distillation.py	13	8	3
def sorted_best_checkpoints() in training/run_distillation.py	10	7	2
def variance_scaling() in training/flax/distil_whisper/layers.py	25	7	6
def __call__() in training/run_distillation.py	26	6	4
def rotate_checkpoints() in training/run_distillation.py	11	6	4
def get_parameter_names() in training/run_distillation.py	13	6	3
def get_data_layout() in training/flax/distil_whisper/partitioner.py	26	6	3
def __call__() in training/flax/distil_whisper/layers.py	26	6	4
def combine_masks() in training/flax/distil_whisper/layers.py	11	6	2
def combine_biases() in training/flax/distil_whisper/layers.py	11	6	1
def language_to_id() in training/run_eval.py	20	5	2
def get_last_checkpoint() in training/run_distillation.py	10	5	1
def chunk_iter_with_batch() in training/flax/distil_whisper/pipeline.py	23	5	6
def postprocess() in training/flax/distil_whisper/pipeline.py	18	5	4
def get_mesh_axes() in training/flax/distil_whisper/partitioner.py	14	5	2
def _compute_fans() in training/flax/distil_whisper/layers.py	13	5	3
def __init__() in training/flax/distil_whisper/modeling_flax_whisper.py	6	4	2
def create() in training/flax/distil_whisper/train_state.py	16	4	2
def __call__() in training/flax/distil_whisper/layers.py	32	4	2
def _convert_to_activation_function() in training/flax/distil_whisper/layers.py	9	4	2
def __call__() in training/flax/distil_whisper/layers.py	13	4	2
def write_metric() in training/flax/run_finetuning.py	10	4	6
def write_wandb_pred() in training/flax/run_finetuning.py	8	4	5
def apply_gradients() in training/flax/run_distillation.py	13	4	5
def with_sharding_constraint() in training/flax/distil_whisper/partitioner.py	5	3	2
def move_params_to_devices() in training/flax/distil_whisper/partitioner.py	11	3	3