azure / slm-innovator-lab - 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).

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Conditional Complexity Overall

There are 152 units with 2,704 lines of code in units (16.9% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
9 medium complex units (514 lines of code)
26 simple units (900 lines of code)
117 very simple units (1,290 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 validate_subjects_json_structure() in 1_synthetic-qa-generation/glan-instruct/glan.py	15	19	1
def change_approved() in 1_synthetic-qa-generation/evolve-instruct/evolve.py	25	17	3
def changeApproved() in 1_synthetic-qa-generation/reasoningplaning/evolve.py	25	17	3
def main() in 2_slm-fine-tuning-mlstudio/phi/olive/phi3.py	35	16	1
def main() in 2_slm-fine-tuning-mlstudio/phi/src_train/train.py	155	14	1
def monteCarloEstimation() in 1_synthetic-qa-generation/reasoningplaning/evolve.py	33	13	2
def mutate() in 1_synthetic-qa-generation/reasoningplaning/evolve.py	59	12	2
def main() in 2_slm-fine-tuning-mlstudio/phi/src_train/train_mlflow.py	148	11	1
def update_figure_description() in 1_synthetic-qa-generation/seed/util/preprocess.py	19	11	3
def generate_config() in 2_slm-fine-tuning-mlstudio/phi/olive/phi3.py	43	10	1
def chat() in 3_llmops-aifoundry/3_2_prototyping/chat-context/phi35_finetuned.py	34	10	3
def transform_jsonl() in 1_synthetic-qa-generation/evolve-instruct/convert.py	25	10	2
def mutate() in 1_synthetic-qa-generation/evolve-instruct/evolve.py	51	10	2
def train_model() in 2_slm-fine-tuning-mlstudio/florence2-VQA/src_train/train_mlflow.py	90	9	3
def generate_questions() in 1_synthetic-qa-generation/glan-instruct/glan.py	60	9	12
def glan_instruction_generation() in 1_synthetic-qa-generation/glan-instruct/glan.py	118	9	1
def use_passes() in 2_slm-fine-tuning-mlstudio/phi/olive/phi3.py	17	8	2
def combine_tokenizers() in 2_slm-fine-tuning-mlstudio/phi/dataset-preparation/combine_tokenizer.py	21	8	1
def chat() in 3_llmops-aifoundry/3_2_prototyping/chat/phi35_finetuned.py	35	8	2
def genPrm() in 1_synthetic-qa-generation/reasoningplaning/evolve.py	21	8	3
def aggregate_variants_results() in 3_llmops-aifoundry/3_3_optimizing/evaluation/aggregate_variants_results.py	20	7	1
def __call__() in 1_synthetic-qa-generation/evolve-instruct/evolve.py	26	7	3
def convert_to_oai_format() in 1_synthetic-qa-generation/seed/util/common_utils.py	31	7	2
def addOrUpdate() in 1_synthetic-qa-generation/reasoningplaning/evolve.py	13	7	4
def createSeedPrompts() in 1_synthetic-qa-generation/reasoningplaning/evolve.py	20	7	1
def createPrompts() in 1_synthetic-qa-generation/reasoningplaning/evolve.py	28	7	1
def __call__() in 1_synthetic-qa-generation/reasoningplaning/evolve.py	26	7	3
def log_params_from_dict() in 2_slm-fine-tuning-mlstudio/phi/src_train/train_mlflow.py	10	6	3
def genai_run() in 2_slm-fine-tuning-mlstudio/phi/olive/phi3.py	52	6	3
def concat_results() in 3_llmops-aifoundry/3_3_optimizing/evaluation/concat_scores.py	21	6	1
def chat() in 3_llmops-aifoundry/3_2_prototyping/chat/phi35_chatcompletion.py	36	6	2
def create_seed_prompts() in 1_synthetic-qa-generation/evolve-instruct/evolve.py	14	6	1
def analyze_pdf_page_content() in 1_synthetic-qa-generation/seed/util/preprocess.py	17	6	2
def shouldProcessQuestion() in 1_synthetic-qa-generation/reasoningplaning/evolve.py	15	6	3
def generate_answers() in 1_synthetic-qa-generation/glan-instruct/glan.py	56	6	5
def main() in 2_slm-fine-tuning-mlstudio/phi/dataset-preparation/train_tokenizer.py	34	5	0
def create_image_with_text() in 2_slm-fine-tuning-mlstudio/florence2-VQA/src_train/train_mlflow.py	20	5	4
def image_complexity() in 1_synthetic-qa-generation/seed/util/preprocess.py	21	5	4
def clean_html() in 1_synthetic-qa-generation/seed/util/preprocess.py	15	5	1
def remove_short_sentences() in 1_synthetic-qa-generation/seed/util/preprocess.py	8	5	2
def separateSteps() in 1_synthetic-qa-generation/reasoningplaning/evolve.py	12	5	2
def pop() in 1_synthetic-qa-generation/reasoningplaning/evolve.py	12	5	1
def generate_taxonomy() in 1_synthetic-qa-generation/glan-instruct/glan.py	16	5	3
def sample_class_sessions_and_key_concepts() in 1_synthetic-qa-generation/glan-instruct/glan.py	15	5	3
def create_prompts() in 1_synthetic-qa-generation/evolve-instruct/evolve.py	18	4	1
def convert_td() in 1_synthetic-qa-generation/seed/util/preprocess.py	8	4	4
def convert_th() in 1_synthetic-qa-generation/seed/util/preprocess.py	8	4	4
def local_image_to_data_url() in 1_synthetic-qa-generation/seed/util/preprocess.py	7	4	1
def split_text_using_tiktoken() in 1_synthetic-qa-generation/seed/util/preprocess.py	14	4	4
def binSrchIncorrectStep() in 1_synthetic-qa-generation/reasoningplaning/evolve.py	18	4	5