huggingface / parler-tts 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 113 units with 1,931 lines of code in units (40.2% of code).

1 very complex units (886 lines of code)
0 complex units (0 lines of code)
2 medium complex units (77 lines of code)
10 simple units (183 lines of code)
100 very simple units (785 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_parler_tts_training.py	886	122	0
def _get_cache() in parler_tts/modeling_parler_tts.py	45	14	5
def apply_delay_pattern_mask() in parler_tts/streamer.py	32	11	2
def __init__() in parler_tts/modeling_parler_tts.py	37	10	2
def __call__() in training/data.py	28	9	4
def __init__() in parler_tts/configuration_parler_tts.py	18	9	4
def _prepare_prompt_kwargs_for_generation() in parler_tts/modeling_parler_tts.py	26	8	3
def __call__() in training/data.py	11	7	4
def sorted_checkpoints() in training/utils.py	10	7	2
def _get_initial_cache_position() in parler_tts/modeling_parler_tts.py	17	7	3
def rotate_checkpoints() in training/utils.py	11	6	4
def sorted_codec_checkpoints() in training/utils.py	10	6	1
def get_last_codec_checkpoint_step() in training/utils.py	15	6	1
def get_last_checkpoint() in training/utils.py	10	5	1
def __init__() in parler_tts/logits_processors.py	15	5	5
def __init__() in parler_tts/modeling_parler_tts.py	3	5	3
def _init_weights() in parler_tts/modeling_parler_tts.py	10	5	2
def _init_weights() in parler_tts/modeling_parler_tts.py	10	5	2
def si_sdr() in training/eval.py	20	4	3
def apply_weight_norm() in parler_tts/dac_wrapper/modeling_dac.py	8	4	1
def __init__() in parler_tts/modeling_parler_tts.py	14	4	2
def tie_weights() in parler_tts/modeling_parler_tts.py	6	4	1
def freeze_encoders() in parler_tts/modeling_parler_tts.py	8	4	2
def put() in parler_tts/streamer.py	12	4	2
def clap_similarity() in training/eval.py	23	3	5
def remove_weight_norm() in parler_tts/dac_wrapper/modeling_dac.py	5	3	1
def shift_tokens_right() in parler_tts/modeling_parler_tts.py	10	3	3
def make_weights() in parler_tts/modeling_parler_tts.py	7	3	3
def forward() in parler_tts/modeling_parler_tts.py	6	3	3
def forward() in parler_tts/modeling_parler_tts.py	10	3	3
def _upad_input() in parler_tts/modeling_parler_tts.py	34	3	6
def __init__() in parler_tts/modeling_parler_tts.py	39	3	3
def from_pretrained() in parler_tts/modeling_parler_tts.py	9	3	4
def __next__() in parler_tts/streamer.py	6	3	1
def load_all_codec_checkpoints() in training/utils.py	5	2	1
def repeat_kv() in parler_tts/modeling_parler_tts.py	6	2	2
def get_embedding() in parler_tts/modeling_parler_tts.py	9	2	2
def __init__() in parler_tts/modeling_parler_tts.py	15	2	6
def __init__() in parler_tts/modeling_parler_tts.py	5	2	2
def get_encoder() in parler_tts/modeling_parler_tts.py	2	2	1
def end() in parler_tts/streamer.py	6	2	1
def on_finalized_audio() in parler_tts/streamer.py	4	2	3
def convert_dataset_str_to_list() in training/data.py	7	1	0
def load_multiple_datasets() in training/data.py	18	1	0
def wer() in training/eval.py	9	1	0
def list_field() in training/utils.py	2	1	2
def save_codec_checkpoint() in training/utils.py	4	1	3
def load_codec_checkpoint() in training/utils.py	3	1	1
def log_metric() in training/utils.py	8	1	0
def log_pred() in training/utils.py	11	1	0