aws-samples / amazon-cognito-facial-recognition-auth
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 62 lines of code in units (15.2% 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)
    • 3 small units (47 lines of code)
    • 2 very small units (15 lines of code)
0% | 0% | 0% | 75% | 24%
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% | 75% | 24%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
rekognition/create-collection0% | 0% | 0% | 100% | 0%
rekognition/index-faces0% | 0% | 0% | 50% | 50%
Alternative Visuals
Longest Units
Top 5 longest units
Unit# linesMcCabe index# params
def sendResponse()
in rekognition/create-collection/create-collection.py
 18 3 4
def handler()
in rekognition/index-faces/index-faces.py
 15 4 2
def handler()
in rekognition/create-collection/create-collection.py
 14 3 2
def update_index()
in rekognition/index-faces/index-faces.py
 8 1 3
def index_faces()
in rekognition/index-faces/index-faces.py
 7 1 2