apple / ml-envmapnet
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 11 units with 168 lines of code in units (75.7% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 2 medium complex units (73 lines of code)
    • 2 simple units (44 lines of code)
    • 7 very simple units (51 lines of code)
0% | 0% | 43% | 26% | 30%
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% | 0% | 43% | 26% | 30%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
ROOT0% | 0% | 43% | 26% | 30%
Most Complex Units
Top 11 most complex units
Unit# linesMcCabe index# params
def findLightBlobs()
in ParametricLights.py
 45 18 1
28 15 3
def turnLightBlobsToParams()
in ParametricLights.py
 30 10 2
14 6 3
def draw_lights_on_image()
in DemoEnvMapNetMetrics.py
 12 2 2
7 1 4
def calculate_fid()
in FIDCalculations.py
 9 1 2
6 1 5
4 1 1
def panoweight()
in ParametricLights.py
 8 1 1
def angularErrorBetweenLights()
in ParametricLights.py
 5 1 2