aws-samples / amazon-sagemaker-immersion-day
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 18 units with 157 lines of code in units (29.2% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 1 medium complex units (39 lines of code)
    • 0 simple units (0 lines of code)
    • 17 very simple units (118 lines of code)
0% | 0% | 24% | 0% | 75%
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% | 24% | 0% | 75%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
ROOT0% | 0% | 28% | 0% | 71%
ML Pipelines scripts0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 18 most complex units
Unit# linesMcCabe index# params
39 12 3
def renumber_code_cell()
in util-cell-enumerate.py
 9 5 1
def arg_check()
in util-cell-enumerate.py
 10 4 1
def _parse_args()
in mnist-2.py
 8 2 0
def renumber()
in util-cell-enumerate.py
 5 2 1
def parse()
in util-cell-enumerate.py
 8 2 1
def main()
in util-cell-enumerate.py
 9 2 0
8 2 0
def postprocess_handler()
in postprocessor.py
 2 1 0
def preprocess_handler()
in preprocessor.py
 9 1 1
def get_session()
in ML Pipelines scripts/pipeline.py
 10 1 2
def get_pipeline()
in ML Pipelines scripts/pipeline.py
 8 1 7
def model()
in mnist-2.py
 13 1 4
4 1 1
4 1 1
4 1 1
4 1 1
3 1 0