aws / aws-glue-databrew-jupyter-extension
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 4 units with 90 lines of code in units (27.8% of code).
    • 0 very long units (0 lines of code)
    • 1 long units (67 lines of code)
    • 0 medium size units (0 lines of code)
    • 1 small units (19 lines of code)
    • 2 very small units (4 lines of code)
0% | 74% | 0% | 21% | 4%
Legend:
101+
51-100
21-50
11-20
1-10
Unit Size per Extension
101+
51-100
21-50
11-20
1-10
ts0% | 77% | 0% | 22% | 0%
py0% | 0% | 0% | 0% | 100%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
src0% | 77% | 0% | 22% | 0%
aws_glue_databrew_jupyter_extension0% | 0% | 0% | 0% | 100%
Alternative Visuals
Longest Units
Top 4 longest units
Unit# linesMcCabe index# params
static create()
in src/MainLauncher.ts
 67 3 4
static create()
in src/LeftSideLauncher.ts
 19 2 2
def _jupyter_server_extension_paths()
in aws_glue_databrew_jupyter_extension/__init__.py
 2 1 0
def _jupyter_nbextension_paths()
in aws_glue_databrew_jupyter_extension/__init__.py
 2 1 0