huggingface / optimum-intel 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 1,387 units with 12,053 lines of code in units (40.4% of code).

2 very complex units (304 lines of code)
0 complex units (0 lines of code)
33 medium complex units (1,572 lines of code)
87 simple units (1,754 lines of code)
1,265 very simple units (8,423 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 run() in optimum/commands/export/openvino.py	189	55	1
def post_init() in optimum/intel/openvino/configuration.py	115	54	1
def __call__() in optimum/intel/openvino/modeling_diffusion.py	55	25	3
def build_from_quantization_config() in optimum/intel/openvino/quantization.py	93	21	2
def _rmtree() in optimum/intel/openvino/utils.py	42	21	4
def _quantization_config_from_dict() in optimum/intel/openvino/configuration.py	41	20	2
def _gptj_attn() in optimum/exporters/openvino/model_patcher.py	38	18	6
def __enter__() in optimum/exporters/openvino/model_patcher.py	127	18	1
def compute_loss() in optimum/intel/neural_compressor/trainer.py	41	18	5
def patch_stateful_decoder() in optimum/exporters/openvino/stateful.py	20	17	2
def _llama_gemma_update_causal_mask_legacy() in optimum/exporters/openvino/model_patcher.py	46	17	5
def gpt_bigcode_attn() in optimum/exporters/openvino/model_patcher.py	39	16	6
def __enter__() in optimum/exporters/openvino/model_patcher.py	138	16	1
def get_model_for_behavior() in optimum/exporters/openvino/model_configs.py	70	16	3
def _rmtree() in optimum/intel/openvino/utils.py	126	16	6
def generate() in optimum/intel/ipex/modeling_base.py	30	15	3
def reshape() in optimum/intel/openvino/modeling_diffusion.py	57	15	6
def __init__() in optimum/intel/openvino/modeling_seq2seq.py	22	15	3
def patched_forward() in optimum/exporters/openvino/model_patcher.py	38	14	2
def generate_dummy_inputs() in optimum/exporters/openvino/model_configs.py	39	14	3
def _save() in optimum/intel/neural_compressor/trainer.py	35	14	3
def is_openvino_tokenizers_available() in optimum/intel/utils/import_utils.py	68	14	0
def _save_pretrained() in optimum/intel/openvino/modeling_diffusion.py	46	14	3
def _expand_outputs_for_generation() in optimum/intel/openvino/modeling_decoder.py	29	14	4
def patch_model_with_bettertransformer() in optimum/exporters/openvino/model_patcher.py	42	13	1
def __enter__() in optimum/exporters/openvino/model_patcher.py	26	13	1
def maybe_convert_tokenizers() in optimum/exporters/openvino/__main__.py	25	13	5
def generate_dummy_inputs() in optimum/exporters/openvino/model_configs.py	36	13	3
def from_pretrained() in optimum/intel/neural_compressor/modeling_diffusion.py	28	13	3
def _deduplicate_inputs() in optimum/intel/openvino/modeling_decoder.py	37	13	2
def update_pkv_precision() in optimum/intel/openvino/modeling_decoder.py	25	12	2
def get_vision_embeddings() in optimum/intel/openvino/modeling_visual_language.py	48	12	4
def _patch_model() in optimum/exporters/ipex/model_patcher.py	24	11	1
def __enter__() in optimum/exporters/openvino/model_patcher.py	23	11	1
def _is_timm_ov_dir() in optimum/intel/openvino/utils.py	18	11	1
def _phi_moe_sparse_moe_block_forward() in optimum/exporters/openvino/model_patcher.py	26	10	2
def __enter__() in optimum/exporters/openvino/model_patcher.py	28	10	1
def _add_version_info_to_model() in optimum/exporters/openvino/convert.py	25	10	2
def _prepare_input() in optimum/intel/neural_compressor/trainer.py	11	10	3
def prepare_inputs_for_generation() in optimum/intel/openvino/modeling_decoder.py	23	10	4
def _get_past_length() in optimum/intel/openvino/modeling_decoder.py	17	10	2
def __init__() in optimum/intel/openvino/modeling_visual_language.py	17	10	3
def dynamic_preprocess() in optimum/intel/openvino/modeling_visual_language.py	33	10	5
def _jais_attn() in optimum/exporters/openvino/model_patcher.py	26	9	7
def patched_forward() in optimum/exporters/openvino/model_patcher.py	28	9	2
def init_model_configs() in optimum/exporters/openvino/model_configs.py	79	9	0
def bind_cores_for_best_perf() in optimum/intel/utils/modeling_utils.py	39	9	0
def _compile() in optimum/intel/openvino/modeling_base.py	14	9	1
def _print_compiled_model_properties() in optimum/intel/openvino/utils.py	26	9	1
def np_to_pt_generators() in optimum/intel/openvino/utils.py	13	9	2