aws-samples / amazon-sagemaker-architecting-for-ml
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 15 units with 145 lines of code in units (85.8% 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)
    • 15 very simple units (145 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
Example-Project0% | 0% | 0% | 0% | 100%
Starter-Code0% | 0% | 0% | 0% | 100%
Example-Project/src0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 15 most complex units
Unit# linesMcCabe index# params
def write_rows()
in Example-Project/utils.py
 25 5 5
def get_cell_placements()
in Example-Project/utils.py
 19 5 1
def get_model_name()
in Example-Project/src/tune_gpt.py
 8 4 1
def get_rows()
in Example-Project/utils.py
 9 4 2
def get_code()
in Example-Project/utils.py
 11 3 1
def get_markdown()
in Example-Project/utils.py
 11 3 1
def parse_notebook()
in Example-Project/utils.py
 11 3 4
def get_notebook_names()
in Starter-Code/clean-sm-resources.py
 8 3 2
def get_file_name()
in Example-Project/src/tune_gpt.py
 3 2 3
def get_endpoint_names()
in Starter-Code/clean-sm-resources.py
 7 2 1
def delete_endpoints()
in Starter-Code/clean-sm-resources.py
 4 2 2
def stop_notebook_instances()
in Starter-Code/clean-sm-resources.py
 7 2 2
def save_to_s3()
in Example-Project/src/tune_gpt.py
 5 1 4
def initialize_output()
in Example-Project/utils.py
 7 1 1
def lambda_handler()
in Starter-Code/clean-sm-resources.py
 10 1 2