huggingface / notebooks 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 106 units with 2,400 lines of code in units (0.4% of code).

0 very complex units (0 lines of code)
2 complex units (477 lines of code)
4 medium complex units (236 lines of code)
19 simple units (807 lines of code)
81 very simple units (880 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 sagemaker/22_accelerate_sagemaker_examples/src/seq2seq/run_seq2seq_no_trainer.py	347	41	0
def training_function() in sagemaker/22_accelerate_sagemaker_examples/src/text-classification/train_using_s3_data.py	130	39	2
def split_blocks() in utils/convert_doc_to_notebooks.py	47	15	1
def evaluate() in sagemaker/22_accelerate_sagemaker_examples/src/seq2seq/run_seq2seq_no_trainer.py	63	12	7
def training_function() in sagemaker/28_train_llms_with_qlora/scripts/run_clm.py	60	12	1
def _() in course/en/chapter13/grpo_format.py	66	12	2
def query_es_index() in longform-qa/lfqa_utils.py	26	10	5
def convert_image() in utils/convert_doc_to_notebooks.py	14	9	5
def batch_query_qa_dense_index() in longform-qa/lfqa_utils.py	14	9	6
def batch_query_qa_dense_index_nn() in longform-qa/lfqa_utils.py	15	9	6
def training_function() in sagemaker/26_document_ai_donut/scripts/train.py	50	8	1
def training_function() in sagemaker/24_train_bloom_peft_lora/scripts/run_clm.py	58	8	1
def query_qa_dense_index_nn() in longform-qa/lfqa_utils.py	11	8	7
def split_frameworks() in utils/convert_doc_to_notebooks.py	13	7	1
def parse_args() in sagemaker/22_accelerate_sagemaker_examples/src/seq2seq/run_seq2seq_no_trainer.py	275	7	0
def fit() in sagemaker/07_tensorflow_distributed_training_data_parallelism/scripts/train.py	21	7	7
def _() in course/en/chapter13/grpo_length.py	28	7	2
def train_qa_retriever_joint_epoch() in longform-qa/lfqa_utils.py	33	7	7
def parse_code_and_output() in utils/convert_doc_to_notebooks.py	19	6	1
def convert_all_tutorials() in utils/convert_doc_to_notebooks.py	13	6	2
def training_function() in sagemaker/25_pytorch_fsdp_model_parallelism/scripts/run_clm.py	36	6	1
def training_function() in sagemaker/32_train_deploy_embedding_models/scripts/run_mnr.py	60	6	1
def _() in course/en/chapter13/grpo_math.py	63	6	2
def embed_sentences_checkpointed() in longform-qa/lfqa_utils.py	26	6	4
def train_qa_s2s_epoch() in longform-qa/lfqa_utils.py	32	6	8
def convert_table() in utils/convert_doc_to_notebooks.py	12	5	1
def parse_arge() in sagemaker/25_pytorch_fsdp_model_parallelism/scripts/run_clm.py	41	5	0
def parse_arge() in sagemaker/26_document_ai_donut/scripts/train.py	33	5	0
def parse_arge() in sagemaker/28_train_llms_with_qlora/scripts/run_clm.py	38	5	0
def predict_fn() in sagemaker/18_inferentia_inference/code/inference.py	15	5	2
def parse_arge() in sagemaker/24_train_bloom_peft_lora/scripts/run_clm.py	32	5	0
def evaluate_retriever() in longform-qa/lfqa_utils.py	16	5	5
def get_datasets() in sagemaker/07_tensorflow_distributed_training_data_parallelism/scripts/train.py	26	4	0
def make_qa_retriever_model() in longform-qa/lfqa_utils.py	13	4	3
def train_qa_retriever_epoch() in longform-qa/lfqa_utils.py	29	4	7
def code_cell() in utils/convert_doc_to_notebooks.py	16	3	2
def predict_fn() in sagemaker/26_document_ai_donut/scripts/inference.py	21	3	2
def create_peft_config() in sagemaker/28_train_llms_with_qlora/scripts/run_clm.py	26	3	2
def predict_fn() in sagemaker/23_stable_diffusion_inference/code/inference.py	12	3	2
def predict_fn() in sagemaker/24_train_bloom_peft_lora/scripts/inference.py	11	3	2
def make_es_index_snippets() in longform-qa/lfqa_utils.py	25	3	3
def make_example() in longform-qa/lfqa_utils.py	11	3	2
def make_qa_retriever_batch() in longform-qa/lfqa_utils.py	14	3	4
def make_qa_s2s_model() in longform-qa/lfqa_utils.py	7	3	3
def make_qa_s2s_batch() in longform-qa/lfqa_utils.py	22	3	5
def eval_qa_s2s_epoch() in longform-qa/lfqa_utils.py	24	3	4
def convert_rst_formatting() in utils/convert_doc_to_notebooks.py	16	2	1
def convert_rst_links() in utils/convert_doc_to_notebooks.py	12	2	1
def remove_indentation() in utils/convert_doc_to_notebooks.py	5	2	1
def convert_to_note() in utils/convert_doc_to_notebooks.py	6	2	2