huggingface / docmatix 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 26 units with 448 lines of code in units (63.3% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
1 medium complex units (69 lines of code)
8 simple units (195 lines of code)
17 very simple units (184 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 26 most complex units

Unit	# lines	McCabe index	# params
def launch() in generation/llm_swarm_script.py	69	11	0
def extract_chunks() in generation/llm_swarm_script.py	23	9	4
def load_and_concatenate_dataframes() in create_only_with_pdfs/load_data.py	17	8	0
def load_and_concatenate_dataframes() in clean_and_create/load_data.py	17	8	0
def create_tasks() in generation/llm_swarm_script.py	26	6	3
def process_group() in create_only_with_pdfs/load_data.py	21	6	1
def resize_large_images() in clean_and_create/load_data.py	15	6	2
def process_group() in clean_and_create/load_data.py	21	6	1
def process_tar_index() in clean_and_create/load_data.py	55	6	3
def process_tar_index() in create_only_with_pdfs/load_data.py	40	5	3
def get_datasets() in create_only_with_pdfs/upload_data.py	13	5	0
def process_outputs_to_df() in generation/llm_swarm_script.py	21	4	1
def is_valid_question_or_answer() in create_only_with_pdfs/load_data.py	15	4	1
def is_valid_question_or_answer() in clean_and_create/load_data.py	15	4	1
def extract_qa_pairs() in generation/llm_swarm_script.py	5	3	1
def count_words() in analysis/count_words_in_dataset.py	12	2	2
def create_prompts() in generation/base_prompts.py	12	2	1
def extract_text_per_page_from_sample() in generation/llm_swarm_script.py	6	2	2
def load_checkpoint() in generation/llm_swarm_script.py	5	2	0
def text_generator() in florence_2_dataset/create_florence_2_dataset.py	8	2	1
def img_generator() in florence_2_dataset/create_florence_2_dataset.py	7	2	1
def process_images() in clean_and_create/load_data.py	3	2	1
def create_llm_prompt() in generation/llm_swarm_script.py	9	1	2
def save_checkpoint() in generation/llm_swarm_script.py	7	1	2
def _decode_pdf_pages() in clean_and_create/load_data.py	2	1	0
def convert_img_to_png_bytes() in clean_and_create/load_data.py	4	1	1