mozilla / distilvit - 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 78 units with 1,375 lines of code in units (71.9% of code).

0 very complex units (0 lines of code)
2 complex units (256 lines of code)
1 medium complex units (26 lines of code)
6 simple units (224 lines of code)
69 very simple units (869 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 distilvit/quantize.py	206	47	0
def data_collator() in distilvit/train.py	50	29	2
def __call__() in distilvit/gpt4.py	26	12	2
def train() in distilvit/train.py	112	9	1
def import_argparse_to_params() in GenAIFlow.py	23	8	2
def params_to_args() in GenAIFlow.py	17	8	1
def freeze_model_layers() in distilvit/train.py	9	7	3
def generate() in distilvit/pexels.py	41	6	0
def main() in distilvit/curate.py	22	6	1
def generate() in distilvit/gpt4.py	32	5	3
def quantize() in distilvit/quantize.py	24	5	2
def postprocess_text() in distilvit/train.py	6	5	2
def main() in distilvit/infere.py	33	5	2
def cached_ds() in distilvit/utils.py	25	5	1
def fetch_images_from_pexels() in distilvit/pexels.py	17	5	5
def process_images() in distilvit/pexels.py	21	5	4
def transform_one() in distilvit/curate.py	32	5	2
def get_operators() in distilvit/quantize.py	11	4	1
def resize_image() in distilvit/pexels.py	12	4	1
def fetch_pexels() in distilvit/pexels.py	9	4	0
def download_file() in distilvit/_datasets/coco.py	19	4	2
def feature_extractor() in distilvit/_datasets/coco.py	11	4	3
def set() in distilvit/gpt4.py	16	3	3
def get_device() in distilvit/train.py	6	3	0
def __call__() in distilvit/utils.py	11	3	2
def get_dataset() in distilvit/_datasets/docornot.py	18	3	3
def __init__() in distilvit/curate.py	14	3	3
def process_batch() in distilvit/curate.py	17	3	2
def extract_text_with_backticks() in distilvit/curate.py	9	3	2
def transform() in distilvit/curate.py	14	3	3
def is_true_flag_action() in GenAIFlow.py	2	3	1
def load_remote_env() in GenAIFlow.py	3	3	1
def load_words_from_url() in distilvit/update_config.py	5	2	1
def get_tokens_as_list() in distilvit/update_config.py	6	2	1
def generate_completion() in distilvit/curate_api.py	9	2	2
def extract_text_with_backticks() in distilvit/curate_api.py	7	2	2
def process_caption() in distilvit/curate_api.py	8	2	2
def process_batch() in distilvit/curate_api.py	7	2	2
def cursor() in distilvit/gpt4.py	5	2	1
def conn() in distilvit/gpt4.py	15	2	1
def get() in distilvit/gpt4.py	10	2	2
def get_nltk() in distilvit/train.py	5	2	0
def on_evaluate() in distilvit/train.py	4	2	6
def get_arg_parser() in distilvit/train.py	105	2	1
def fetch_images() in distilvit/pexels.py	12	2	1
def push_to_hub() in distilvit/upload.py	10	2	4
def get_dataset() in distilvit/_datasets/flickr.py	16	2	3
def get_dataset() in distilvit/_datasets/coco.py	22	2	3
def get_dataset() in distilvit/_datasets/pexels.py	16	2	3
def get_dataset() in distilvit/_datasets/validation.py	16	2	3