facebookresearch / mixup-cifar10
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 1,060 lines of code in units (81.4% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 2 medium complex units (49 lines of code)
    • 6 simple units (143 lines of code)
    • 107 very simple units (868 lines of code)
0% | 0% | 4% | 13% | 81%
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% | 4% | 13% | 81%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
ROOT0% | 0% | 16% | 40% | 42%
models0% | 0% | 2% | 7% | 89%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
def forward()
in models/resnet.py
 19 12 4
30 11 1
34 9 3
def __init__()
in models/densenet3.py
 35 7 7
14 7 1
def type_as()
in models/densenet_efficient_multi_gpu.py
 12 6 2
def backward()
in models/densenet_efficient_multi_gpu.py
 22 6 2
def test()
in train.py
 26 6 1
def _make_layers()
in models/mobilenet.py
 8 4 2
8 4 2
def forward()
in models/densenet3.py
 8 3 2
def _make_layers()
in models/vgg.py
 13 3 2
def __init__()
in models/resnext.py
 15 3 5
def __init__()
in models/resnet.py
 12 3 4
def __init__()
in models/resnet.py
 11 3 4
def __init__()
in models/resnet.py
 14 3 4
def __init__()
in models/resnet.py
 13 3 4
def resize_()
in models/densenet_efficient_multi_gpu.py
 6 3 2
def forward()
in models/densenet_efficient_multi_gpu.py
 11 3 2
def __init__()
in models/densenet_efficient_multi_gpu.py
 26 3 5