aws-samples / amazon-comprehend-active-learning-framework
Unit Size

The distribution of size of units (measured in lines of code).

Intro
  • Unit size measurements show the distribution of size of units of code (methods, functions...).
  • Units are classified in four categories based on their size (lines of code): 1-20 (small units), 20-50 (medium size units), 51-100 (long units), 101+ (very long units).
  • You should aim at keeping units small (< 20 lines). Long units may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
Unit Size Overall
  • There are 5 units with 133 lines of code in units (13.7% of code).
    • 0 very long units (0 lines of code)
    • 0 long units (0 lines of code)
    • 4 medium size units (117 lines of code)
    • 1 small units (16 lines of code)
    • 0 very small units (0 lines of code)
0% | 0% | 87% | 12% | 0%
Legend:
101+
51-100
21-50
11-20
1-10
Unit Size per Extension
101+
51-100
21-50
11-20
1-10
py0% | 0% | 87% | 12% | 0%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
lambda0% | 0% | 87% | 12% | 0%
Alternative Visuals
Longest Units
Top 5 longest units
Unit# linesMcCabe index# params
def lambda_handler()
in lambda/comprehend-create-human-classification-tasks.py
37 4 2
def lambda_handler()
in lambda/comprehend-realtime-text-classification-lambda.py
33 4 2
def lambda_handler()
in lambda/comprehend-batch-feedback.py
25 3 2
def lambda_handler()
in lambda/start-retraining-with-human-reviewed-data.py
22 2 2
def lambda_handler()
in lambda/comprehend-active-learning-user-feedback-via-api-gw-lambda.py
16 2 2