aws-samples / medical-text-sentence-relevance-bert
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 9 units with 76 lines of code in units (29.7% 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)
    • 1 simple units (23 lines of code)
    • 8 very simple units (53 lines of code)
0% | 0% | 0% | 30% | 69%
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% | 30% | 69%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
Medical_Text_Analysis_Resources/docker_containers/model_container/model_scripts0% | 0% | 0% | 30% | 69%
Most Complex Units
Top 9 most complex units
Unit# linesMcCabe index# params
def get_best_n_sentences()
in Medical_Text_Analysis_Resources/docker_containers/model_container/model_scripts/hosted_model.py
23 8 4
def ping()
in Medical_Text_Analysis_Resources/docker_containers/model_container/model_scripts/predictor.py
4 2 0
def run_null()
in Medical_Text_Analysis_Resources/docker_containers/model_container/model_scripts/hosted_model.py
7 2 3
def run_model()
in Medical_Text_Analysis_Resources/docker_containers/model_container/model_scripts/hosted_model.py
14 2 3
def transformation()
in Medical_Text_Analysis_Resources/docker_containers/model_container/model_scripts/predictor.py
9 1 0
def __init__()
in Medical_Text_Analysis_Resources/docker_containers/model_container/model_scripts/hosted_model.py
3 1 2
def get_pvalue()
in Medical_Text_Analysis_Resources/docker_containers/model_container/model_scripts/hosted_model.py
5 1 3
def break_up_by_sentence()
in Medical_Text_Analysis_Resources/docker_containers/model_container/model_scripts/hosted_model.py
4 1 2
def run_model_and_null()
in Medical_Text_Analysis_Resources/docker_containers/model_container/model_scripts/hosted_model.py
7 1 2