huggingface / peft 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 1,361 units with 14,979 lines of code in units (59.4% of code).

0 very complex units (0 lines of code)
8 complex units (458 lines of code)
69 medium complex units (2,568 lines of code)
211 simple units (4,697 lines of code)
1,073 very simple units (7,256 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/peft/tuners/lora/config.py	65	40	1
def get_model_status() in src/peft/peft_model.py	81	30	1
def prepare_model_for_kbit_training() in src/peft/utils/other.py	53	30	3
def _maybe_include_all_linear_layers() in src/peft/tuners/tuners_utils.py	37	29	2
def _setup_prompt_encoder() in src/peft/peft_model.py	54	28	2
def check_target_module_exists() in src/peft/tuners/tuners_utils.py	43	28	2
def get_layer_status() in src/peft/peft_model.py	62	27	1
def __init__() in src/peft/tuners/lora/layer.py	63	26	4
def train() in scripts/train_memory.py	113	25	8
def _enable_peft_forward_hooks() in src/peft/tuners/lora/model.py	38	24	3
def onload_layer() in src/peft/tuners/tuners_utils.py	43	23	1
def step() in src/peft/optimizers/lorafa.py	78	23	2
def _check_add_weighted_adapter() in src/peft/tuners/ia3/model.py	26	21	2
def _evaluate_node() in method_comparison/sanitizer.py	49	21	2
def _update_offload() in src/peft/peft_model.py	55	20	6
def build_app() in method_comparison/app.py	143	19	1
def __post_init__() in src/peft/tuners/adalora/config.py	29	18	1
def _prepare_prompt_learning_config() in src/peft/utils/other.py	42	18	2
def replicate_layers() in src/peft/tuners/tuners_utils.py	40	17	3
def main() in scripts/log_reports.py	109	17	1
def _cpt_forward() in src/peft/peft_model.py	40	16	7
def _create_new_module() in src/peft/tuners/adalora/model.py	60	16	5
def __init__() in src/peft/tuners/oft/layer.py	38	16	3
def corda_init() in src/peft/tuners/lora/layer.py	61	16	3
def _mark_only_adapters_as_trainable() in src/peft/tuners/mixed/model.py	18	16	2
def create_or_update_model_card() in src/peft/peft_model.py	32	14	2
def llama_compute_query_states() in src/peft/tuners/adaption_prompt/utils.py	42	14	2
def _create_new_module() in src/peft/tuners/ia3/model.py	60	14	4
def get_scaled_bases() in src/peft/tuners/randlora/layer.py	22	14	3
def _move_adapter_to_device_of_base_layer() in src/peft/tuners/tuners_utils.py	26	14	3
def get_layer_device_map() in src/peft/utils/integrations.py	19	14	1
def compute_pareto_frontier() in method_comparison/app.py	32	14	3
def __post_init__() in method_comparison/MetaMathQA/utils.py	25	14	1
def __post_init__() in src/peft/tuners/hra/config.py	15	13	1
def _mark_only_adapters_as_trainable() in src/peft/tuners/hra/model.py	18	13	2
def _mark_only_adapters_as_trainable() in src/peft/tuners/vblora/model.py	18	13	2
def _mark_only_adapters_as_trainable() in src/peft/tuners/boft/model.py	18	13	2
def _mark_only_adapters_as_trainable() in src/peft/tuners/bone/model.py	18	13	2
def _mark_only_adapters_as_trainable() in src/peft/tuners/vera/model.py	18	13	2
def _mark_only_adapters_as_trainable() in src/peft/tuners/oft/model.py	18	13	2
def __post_init__() in src/peft/tuners/fourierft/config.py	15	13	1
def _mark_only_adapters_as_trainable() in src/peft/tuners/fourierft/model.py	18	13	2
def reset_lora_parameters() in src/peft/tuners/lora/layer.py	18	13	3
def _mark_only_adapters_as_trainable() in src/peft/tuners/lora/model.py	18	13	2
def merge() in src/peft/tuners/lora/bnb.py	36	13	3
def _create_new_module() in src/peft/tuners/lycoris_utils.py	34	13	5
def _mark_only_adapters_as_trainable() in src/peft/tuners/randlora/model.py	18	13	2
def get_scaled_bases() in src/peft/tuners/randlora/bnb.py	22	13	3
def get_scaled_bases() in src/peft/tuners/randlora/bnb.py	22	13	3
def _cast_adapter_dtype() in src/peft/tuners/tuners_utils.py	23	13	3