openai/gpt-oss
File Complexity*
The distribution of files by complexity: the sum of the McCabe indexes of their units.
File Complexity Overall
  • There are 66 files with units, with 13,390 lines of code.
    • 0 very complex files (McCabe index sum 251+; 0 lines of code)
    • 1 complex files (McCabe index sum 126-250; 1,454 lines of code)
    • 8 medium complex files (McCabe index sum 51-125; 3,973 lines of code)
    • 9 slightly complex files (McCabe index sum 26-50; 2,853 lines of code)
    • 48 simple files (McCabe index sum 1-25; 5,110 lines of code)
  • 45 main files have no units (e.g. languages without unit analysis, or files without functions) and are not classified.
system0% | 10% | 29% | 21% | 38%
Legend:
251+
126-250
51-125
26-50
1-25


explore: grouped by folders | grouped by complexity
File Complexity per Extension
251+
126-250
51-125
26-50
1-25
c0% | 37% | 46% | 0% | 16%
py0% | 0% | 13% | 37% | 48%
cc0% | 0% | 54% | 0% | 45%
m0% | 0% | 100% | 0% | 0%
ts0% | 0% | 38% | 0% | 61%
hpp0% | 0% | 0% | 75% | 24%
h0% | 0% | 0% | 0% | 100%
File Complexity per Logical Decomposition
primary
251+
126-250
51-125
26-50
1-25
gpt_oss0% | 11% | 29% | 22% | 35%
compatibility-test0% | 0% | 38% | 0% | 61%
gpt-oss-mcp-server0% | 0% | 0% | 0% | 100%
_build0% | 0% | 0% | 0% | 100%
Most Complex Files (Top 50)

The McCabe index of a file grows with its size: per 100 lines tells a large but plain file from a dense one, and most complex unit whether the complexity sits in one unit or is spread over many.

File# lines# unitsMcCabe index
(sum)		per 100
lines		most complex
unit
metal-kernels.c
in gpt_oss/metal/source
 1454 27 166 11 10
context.c
in gpt_oss/metal/source
 1010 12 104 10 36
model.c
in gpt_oss/metal/source
 514 9 88 17 67
apply_patch.py
in gpt_oss/tools
 402 24 83 21 18
end-to-end-threadgroup.cc
in gpt_oss/metal/benchmark
 502 14 82 16 9
metal.m
in gpt_oss/metal/source
 423 19 69 16 11
runCase.ts
in compatibility-test
 284 6 62 22 19
generate.c
in gpt_oss/metal/source
 285 7 59 21 29
simple_browser_tool.py
in gpt_oss/tools/simple_browser
 553 29 58 10 12
chat.py
in gpt_oss
 326 2 47 14 43
docker_tool.py
in gpt_oss/tools/python_docker
 293 15 45 15 22
metal.hpp
in gpt_oss/metal/source/include/internal
 284 35 43 15 2
page_contents.py
in gpt_oss/tools/simple_browser
 208 19 38 18 10
model.py
in gpt_oss/triton
 453 21 36 8 8
healthbench_eval.py
in gpt_oss/evals
 463 15 31 7 6
ollama.py
in gpt_oss/responses_api/inference
 128 5 30 23 24
model.py
in gpt_oss/torch
 410 20 29 7 6
create-local-model.py
in gpt_oss/metal/scripts
 288 9 26 9 15
end-to-end.cc
in gpt_oss/metal/benchmark
 198 2 25 13 16
__main__.py
in gpt_oss/evals
 190 1 24 13 24
analysis.ts
in compatibility-test
 116 2 24 21 21
index.ts
in compatibility-test
 177 5 18 10 11
tokenizer.c
in gpt_oss/metal/source
 89 7 17 19 6
aime_eval.py
in gpt_oss/evals
 81 5 15 19 7
uuid.h
in gpt_oss/metal/source/include/internal
 103 4 15 15 12
api_server.py
in gpt_oss/responses_api
 1233 11 15 1 2
weights.py
in gpt_oss/torch
 99 5 14 14 6
responses_sampler.py
in gpt_oss/evals
 71 3 13 18 11
token_generator.py
in gpt_oss/vllm
 44 2 13 30 12
report.py
in gpt_oss/evals
 89 5 12 13 8
backend.py
in _build/gpt_oss_build_backend
 75 11 12 16 2
triton.py
in gpt_oss/responses_api/inference
 75 3 11 15 9
build-system-prompt.py
in gpt-oss-mcp-server
 88 2 11 13 6
80 3 10 13 8
math.h
in gpt_oss/metal/source/include/internal
 31 6 10 32 2
vllm.py
in gpt_oss/responses_api/inference
 43 3 10 23 6
abcd_grader.py
in gpt_oss/evals
 78 2 9 12 5
backend.py
in gpt_oss/tools/simple_browser
 210 4 9 4 3
attention.py
in gpt_oss/triton
 175 4 9 5 5
module.c
in gpt_oss/metal/python
 53 1 8 15 8
datatype.hpp
in gpt_oss/metal/source/include/internal
 74 7 7 9 1
gpqa_eval.py
in gpt_oss/evals
 92 3 6 7 3
tool.py
in gpt_oss/tools
 52 6 6 12 1
context.c
in gpt_oss/metal/python
 236 2 6 3 5
log.c
in gpt_oss/metal/source
 37 1 6 16 6
moe.py
in gpt_oss/triton
 49 3 6 12 3
utils.py
in gpt_oss/torch
 28 2 6 21 3
metal.py
in gpt_oss/responses_api/inference
 23 1 5 22 5
browser_server.py
in gpt-oss-mcp-server
 90 2 5 6 4
model.c
in gpt_oss/metal/python
 77 2 4 5 3
About This Analysis
  • File complexity is the sum of the McCabe indexes (conditional complexity) of the units (methods, functions...) in a file.
  • Files are classified in five categories based on that sum: 1-25 (simple files), 26-50 (slightly complex files), 51-125 (medium complex files), 126-250 (complex files), 251+ (very complex files). The default bands are five times the unit complexity bands, as a file is a group of units.
  • Only main code files with units are classified. Files without units (languages without unit analysis, or files without functions) have no complexity to measure and are left out rather than counted as simple.
  • A very complex file holds many decisions, which often means it has too many responsibilities: a candidate to split, and a place where changes need more testing.
Learn more...