aws-samples / aws-lambda-docker-serverless-inference
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 31 units with 293 lines of code in units (33.4% 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)
    • 31 very simple units (293 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%
java0% | 0% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
online-machine-learning-aws-lambda0% | 0% | 0% | 0% | 100%
tensorflow-train-in-sagemaker-deploy-with-lambda0% | 0% | 0% | 0% | 100%
djl-object-detection-inference-docker-lambda0% | 0% | 0% | 0% | 100%
djl-tensorflow-lite-inference-docker-lambda0% | 0% | 0% | 0% | 100%
xgboost-inference-arm64-docker-lambda0% | 0% | 0% | 0% | 100%
tensorflow-inference-docker-lambda0% | 0% | 0% | 0% | 100%
pytorch-inference-docker-lambda0% | 0% | 0% | 0% | 100%
xgboost-built-in-algo-train-in-sagemaker-deploy-with-lambda0% | 0% | 0% | 0% | 100%
xgboost-inference-docker-lambda0% | 0% | 0% | 0% | 100%
hebert-sentiment-analysis-inference-docker-lambda0% | 0% | 0% | 0% | 100%
scikit-learn-inference-docker-lambda0% | 0% | 0% | 0% | 100%
blazingtext-text-classification-train-in-sagemaker-deploy-with-lambda0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
public void handleRequest()
in djl-object-detection-inference-docker-lambda/src/main/java/com/example/App.java
 35 3 3
def handler()
in pytorch-inference-docker-lambda/app/app.py
 15 2 2
def handler()
in scikit-learn-inference-docker-lambda/app/app.py
 6 2 2
public void handleRequest()
in djl-tensorflow-lite-inference-docker-lambda/src/main/java/com/example/App.java
 25 2 3
def handler()
in tensorflow-train-in-sagemaker-deploy-with-lambda/container/app/app.py
 16 2 2
def _parse_args()
in tensorflow-train-in-sagemaker-deploy-with-lambda/mnist-2.py
 8 2 0
def handler()
in tensorflow-inference-docker-lambda/app/app.py
 16 2 2
def lambda_handler()
in online-machine-learning-aws-lambda/app/lambda_training/app.py
 28 2 2
def handler()
in xgboost-inference-docker-lambda/app/app.py
 6 1 2
def handler()
in hebert-sentiment-analysis-inference-docker-lambda/app/app.py
 6 1 2
public String getInputImageUrl()
in djl-tensorflow-lite-inference-docker-lambda/src/main/java/com/example/Request.java
 3 1 0
public void setInputImageUrl()
in djl-tensorflow-lite-inference-docker-lambda/src/main/java/com/example/Request.java
 3 1 1
static
in djl-tensorflow-lite-inference-docker-lambda/src/main/java/com/example/App.java
 3 1 0
def model()
in tensorflow-train-in-sagemaker-deploy-with-lambda/mnist-2.py
 13 1 4
def _load_training_data()
in tensorflow-train-in-sagemaker-deploy-with-lambda/mnist-2.py
 4 1 1
def _load_testing_data()
in tensorflow-train-in-sagemaker-deploy-with-lambda/mnist-2.py
 4 1 1
def handler()
in xgboost-built-in-algo-train-in-sagemaker-deploy-with-lambda/app/app.py
 10 1 2
def handler()
in blazingtext-text-classification-train-in-sagemaker-deploy-with-lambda/container/app/app.py
 5 1 2
public String getInputImageUrl()
in djl-object-detection-inference-docker-lambda/src/main/java/com/example/Request.java
 3 1 0
public void setInputImageUrl()
in djl-object-detection-inference-docker-lambda/src/main/java/com/example/Request.java
 3 1 1