aws-samples / amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve
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 8 units with 95 lines of code in units (55.2% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 0 medium complex units (0 lines of code)
    • 0 simple units (0 lines of code)
    • 8 very simple units (95 lines of code)
0% | 0% | 0% | 0% | 100%
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% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
deployment0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 8 most complex units
Unit# linesMcCabe index# params
def initialize()
in deployment/handler.py
 24 3 2
def handle()
in deployment/handler.py
 9 3 2
def preprocess()
in deployment/handler.py
 18 2 2
def postprocess()
in deployment/handler.py
 12 2 2
def __del__()
in deployment/model.py
 3 2 1
def __init__()
in deployment/handler.py
 5 1 1
def inference()
in deployment/handler.py
 7 1 2
def __init__()
in deployment/model.py
 17 1 5