aws-samples / aws-healthcare-lifescience-ai-ml-sample-notebooks
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 11 units with 113 lines of code in units (22.3% 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)
    • 11 very simple units (113 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
AI_ML_services_workshop_information/lambda_code0% | 0% | 0% | 0% | 100%
Sagemaker_Pipelines_Automated_Retraining0% | 0% | 0% | 0% | 100%
Classify_Medical_Specialty_NLP_Huggingface_Transformers0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 11 most complex units
Unit# linesMcCabe index# params
def call_comprehehend_medical()
in workshops/AI_ML_services_workshop_information/lambda_code/ai_ml_services_lambda.py
23 5 2
def get_dependencies()
in workshops/Classify_Medical_Specialty_NLP_Huggingface_Transformers/get_dependencies.py
17 3 0
def call_textract()
in workshops/AI_ML_services_workshop_information/lambda_code/ai_ml_services_lambda.py
13 3 2
def read_in_file_from_s3()
in workshops/AI_ML_services_workshop_information/lambda_code/ai_ml_services_lambda.py
6 1 2
def put_file_in_s3()
in workshops/AI_ML_services_workshop_information/lambda_code/ai_ml_services_lambda.py
9 1 3
def call_comprehend()
in workshops/AI_ML_services_workshop_information/lambda_code/ai_ml_services_lambda.py
5 1 1
def lambda_handler()
in workshops/AI_ML_services_workshop_information/lambda_code/ai_ml_services_lambda.py
15 1 2
def read_in_file_from_s3()
in workshops/Sagemaker_Pipelines_Automated_Retraining/kick_off_pipeline_lambda.py
5 1 2
def convert_to_s3uri()
in workshops/Sagemaker_Pipelines_Automated_Retraining/kick_off_pipeline_lambda.py
3 1 2
def kick_off_sagemaker_pipeline()
in workshops/Sagemaker_Pipelines_Automated_Retraining/kick_off_pipeline_lambda.py
9 1 2
def lambda_handler()
in workshops/Sagemaker_Pipelines_Automated_Retraining/kick_off_pipeline_lambda.py
8 1 2