aliyun / pai-examples - 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 35 units with 915 lines of code in units (12.9% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
3 medium complex units (522 lines of code)
2 simple units (53 lines of code)
30 very simple units (340 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 35 most complex units

Unit	# lines	McCabe index	# params
def _launch_ui() in model-gallery/deploy/mllm/webui_client.py	164	18	3
def _launch_ui() in model-gallery/deploy/llm/BladeLLM/webui_client.py	196	15	3
def _launch_ui() in model-gallery/deploy/llm/vLLM/webui_client.py	162	11	3
def _parse_text() in model-gallery/deploy/mllm/webui_client.py	30	8	1
def transform_messages() in model-gallery/deploy/mllm/webui_client.py	23	6	1
def main() in model-gallery/deploy/llm/BladeLLM/python_client.py	33	5	0
def train() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	6	4	2
def main() in model-gallery/deploy/llm/vLLM/python_client.py	24	3	0
def infer_image() in model-gallery/deploy/mllm/openai_client.py	30	3	0
def infer_video() in model-gallery/deploy/mllm/openai_client.py	27	3	0
def __init__() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	3	2	2
def _run_epoch() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	10	2	2
def integration() in noxfile.py	20	2	1
def main() in model-gallery/deploy/llm/vLLM/webui_client.py	10	2	0
def is_video_file() in model-gallery/deploy/mllm/webui_client.py	12	2	1
def main() in model-gallery/deploy/mllm/webui_client.py	11	2	0
def __len__() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	2	1	1
def __getitem__() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	2	1	2
def ddp_setup() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	3	1	0
def __init__() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	8	1	0
def get_snapshot_path() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	2	1	1
def _load_snapshot() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	6	1	2
def _run_batch() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	6	1	3
def _save_snapshot() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	7	1	2
def _save_model() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	4	1	1
def load_train_objs() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	5	1	0
def prepare_dataloader() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	8	1	2
def main() in pai-python-sdk/training/pytorch_ddp/train_src/train_multinode.py	6	1	0
def _get_args() in model-gallery/deploy/llm/BladeLLM/webui_client.py	32	1	0
def main() in model-gallery/deploy/llm/BladeLLM/webui_client.py	3	1	0
def _get_args() in model-gallery/deploy/llm/vLLM/webui_client.py	24	1	0
def encode_base64_content_from_url() in model-gallery/deploy/mllm/openai_client.py	5	1	1
def _get_args() in model-gallery/deploy/mllm/webui_client.py	24	1	0
def _remove_image_special() in model-gallery/deploy/mllm/webui_client.py	3	1	1
def encode_base64_content_from_file() in model-gallery/deploy/mllm/webui_client.py	4	1	1