openai / CLIP
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 42 units with 524 lines of code in units (88.7% of code).
    • 0 very complex units (0 lines of code)
    • 1 complex units (62 lines of code)
    • 1 medium complex units (33 lines of code)
    • 6 simple units (136 lines of code)
    • 34 very simple units (293 lines of code)
0% | 11% | 6% | 25% | 55%
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
py0% | 11% | 6% | 25% | 55%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
clip0% | 11% | 6% | 26% | 55%
ROOT0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 42 most complex units
Unit# linesMcCabe index# params
62 29 3
33 12 1
37 10 2
17 10 1
24 8 1
23 8 2
19 7 4
16 6 2
20 5 4
11 4 0
7 4 2
4 3 2
7 2 1
11 2 2
8 2 5
6 2 4
3 2 2
5 2 5
14 2 2
46 2 15
5 1 1
2 1 0
2 1 0
4 1 1
4 1 1
24 1 2
21 1 6
15 1 2
4 1 2
2 1 2
11 1 4
4 1 2
2 1 2
12 1 7
5 1 1
2 1 1
2 1 2
9 1 2
9 1 3
2 1 1
8 1 1
2 1 0