aws-samples / amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve
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 8 units with 95 lines of code in units (55.2% of code).
    • 0 very long units (0 lines of code)
    • 0 long units (0 lines of code)
    • 1 medium size units (24 lines of code)
    • 3 small units (47 lines of code)
    • 4 very small units (24 lines of code)
0% | 0% | 25% | 49% | 25%
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% | 25% | 49% | 25%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
deployment0% | 0% | 25% | 49% | 25%
Alternative Visuals
Longest Units
Top 8 longest units
Unit# linesMcCabe index# params
def initialize()
in deployment/handler.py
 24 3 2
def preprocess()
in deployment/handler.py
 18 2 2
def __init__()
in deployment/model.py
 17 1 5
def postprocess()
in deployment/handler.py
 12 2 2
def handle()
in deployment/handler.py
 9 3 2
def inference()
in deployment/handler.py
 7 1 2
def __init__()
in deployment/handler.py
 5 1 1
def __del__()
in deployment/model.py
 3 2 1