huggingface / transformers.js-benchmarking 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 53 units with 897 lines of code in units (1.8% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
1 medium complex units (22 lines of code)
5 simple units (114 lines of code)
47 very simple units (761 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 strip_data() in scripts/parser.py	22	12	2
def extract_graph_structure() in scripts/parser.py	29	10	3
def fetch() in scripts/parser.py	31	9	3
def retry_operation() in scripts/collect_models.py	18	7	5
def _add_range() in scripts/parser.py	17	6	3
def locate_graph_header() in scripts/parser.py	19	6	2
def skip_field() in scripts/parser.py	13	5	2
async run() in packages/core/src/suites.js	37	5	0
def get_operators() in scripts/collect_models.py	10	4	1
def increment() in scripts/parser.py	8	4	7
def read_varint() in scripts/parser.py	11	4	1
async run() in packages/core/src/models/bert.js	48	4	0
async run() in packages/core/src/models/t5.js	47	4	0
async run() in packages/core/src/models/clip.js	65	4	0
async run() in packages/core/src/models/whisper.js	53	4	0
async run() in packages/core/src/models/llama.js	47	4	0
async run() in packages/core/src/models/sam.js	55	4	0
async run() in packages/core/src/models/qwen2_vl.js	68	4	0
for await() in packages/bun/index.ts	24	4	2
for await() in packages/node/index.js	17	3	2
function getPercentile() in packages/core/src/utils.js	12	3	2
export function computeStatistics() in packages/core/src/utils.js	26	3	1
def __init__() in scripts/parser.py	19	2	6
def stream_parse_model_header() in scripts/parser.py	13	2	1
for await() in packages/core/src/suites.js	7	2	1
export function pick() in packages/core/src/utils.js	10	2	2
for await() in packages/web/src/worker.js	3	2	2
def collect_model_ops() in scripts/collect_models.py	5	1	0
def main() in scripts/collect_models.py	21	1	0
def close() in scripts/parser.py	3	1	1
def __enter__() in scripts/parser.py	2	1	1
def __exit__() in scripts/parser.py	2	1	4
constructor() in packages/core/src/suites.js	6	1	1
constructor() in packages/core/src/suites.js	4	1	2
constructor() in packages/core/src/suites.js	3	1	1
constructor() in packages/core/src/suites.js	3	1	1
median: getPercentile() in packages/core/src/utils.js	12	1	2
p1: getPercentile() in packages/core/src/utils.js	11	1	2
p5: getPercentile() in packages/core/src/utils.js	10	1	2
p10: getPercentile() in packages/core/src/utils.js	9	1	2
p90: getPercentile() in packages/core/src/utils.js	8	1	2
p95: getPercentile() in packages/core/src/utils.js	7	1	2
p99: getPercentile() in packages/core/src/utils.js	6	1	2
constructor() in packages/core/src/models/bert.js	6	1	1
constructor() in packages/core/src/models/t5.js	6	1	1
constructor() in packages/core/src/models/clip.js	6	1	1
constructor() in packages/core/src/models/whisper.js	6	1	1
constructor() in packages/core/src/models/llama.js	6	1	1
constructor() in packages/core/src/models/sam.js	6	1	1
pred_masks: pick() in packages/core/src/models/sam.js	6	1	3