aws-samples / sagemaker-processing-framework-examples
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 3 units with 10 lines of code in units (4.0% of code).
    • 0 very long units (0 lines of code)
    • 0 long units (0 lines of code)
    • 0 medium size units (0 lines of code)
    • 0 small units (0 lines of code)
    • 3 very small units (10 lines of code)
0% | 0% | 0% | 0% | 100%
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% | 0% | 0% | 100%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
tensorflow2-sample0% | 0% | 0% | 0% | 100%
pytorch-sample/scripts0% | 0% | 0% | 0% | 100%
Alternative Visuals
Longest Units
Top 3 longest units
Unit# linesMcCabe index# params
def model_loading_logic()
in tensorflow2-sample/keras-processing.py
 5 1 1
def download_image()
in pytorch-sample/scripts/script_utils.py
 3 1 2
def processing_logic()
in tensorflow2-sample/keras-processing.py
 2 1 2