openai / sparse_autoencoder
Conditional Complexity

The distribution of complexity of units (measured with McCabe index).

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 115 units with 1,128 lines of code in units (41.4% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 2 medium complex units (106 lines of code)
    • 4 simple units (126 lines of code)
    • 109 very simple units (896 lines of code)
0% | 0% | 9% | 11% | 79%
Legend:
51+
26-50
11-25
6-10
1-5
Alternative Visuals
Conditional Complexity per Extension
51+
26-50
11-25
6-10
1-5
tsx0% | 0% | 28% | 19% | 51%
py0% | 0% | 3% | 8% | 88%
ts0% | 0% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
sae-viewer0% | 0% | 24% | 17% | 58%
sparse_autoencoder0% | 0% | 3% | 8% | 88%
Most Complex Units
Top 50 most complex units
Unit# linesMcCabe index# params
82 20 3
24 15 2
17 7 3
18 7 3
33 6 2
58 6 1
13 5 2
5 5 1
9 5 2
70 5 2
30 5 0
2 4 1
20 4 2
6 4 2
10 4 3
28 4 4
20 3 1
2 3 1
20 3 2
22 3 4
2 3 1
7 3 2
4 3 3
8 3 2
10 3 2
3 3 1
37 3 4
5 2 2
6 2 4
6 2 4
2 2 2
5 2 3
3 2 0
2 2 1
13 2 2
14 2 2
3 2 2
4 2 1
5 2 3
56 2 0
4 2 2
4 2 2
8 2 1
9 2 1
8 2 1
28 2 0
11 2 2
6 1 2
3 1 4
6 1 3