openai/guided-diffusion
File Complexity*
The distribution of files by complexity: the sum of the McCabe indexes of their units.
File Complexity Overall
  • There are 21 files with units, with 4,049 lines of code.
    • 0 very complex files (McCabe index sum 251+; 0 lines of code)
    • 0 complex files (McCabe index sum 126-250; 0 lines of code)
    • 4 medium complex files (McCabe index sum 51-125; 1,206 lines of code)
    • 4 slightly complex files (McCabe index sum 26-50; 1,508 lines of code)
    • 13 simple files (McCabe index sum 1-25; 1,335 lines of code)
  • 1 main files have no units (e.g. languages without unit analysis, or files without functions) and are not classified.
system0% | 0% | 29% | 37% | 32%
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
py0% | 0% | 29% | 37% | 32%
File Complexity per Logical Decomposition
primary
251+
126-250
51-125
26-50
1-25
guided_diffusion0% | 0% | 26% | 46% | 27%
evaluations0% | 0% | 100% | 0% | 0%
scripts0% | 0% | 0% | 26% | 73%
datasets0% | 0% | 0% | 0% | 100%
Most Complex Files (Top 21)

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
logger.py
in guided_diffusion
 327 49 103 31 8
evaluator.py
in evaluations
 464 41 85 18 9
train_util.py
in guided_diffusion
 244 16 54 22 10
fp16_util.py
in guided_diffusion
 171 22 53 31 5
unet.py
in guided_diffusion
 656 31 49 7 4
gaussian_diffusion.py
in guided_diffusion
 580 27 49 8 12
189 6 35 19 21
nn.py
in guided_diffusion
 83 14 28 34 4
respace.py
in guided_diffusion
 83 10 24 29 11
resample.py
in guided_diffusion
 78 11 24 31 9
script_util.py
in guided_diffusion
 401 15 24 6 4
image_datasets.py
in guided_diffusion
 119 7 21 18 5
97 3 16 16 8
image_sample.py
in scripts
 89 2 15 17 14
dist_util.py
in guided_diffusion
 58 5 14 24 5
109 2 13 12 12
losses.py
in guided_diffusion
 40 3 8 20 6
image_nll.py
in scripts
 73 3 8 11 6
lsun_bedroom.py
in datasets
 40 3 6 15 3
80 3 4 5 2
image_train.py
in scripts
 68 2 2 3 1
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...