aws-samples / machine-learning-pipelines-for-multimodal-health-data
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 56 lines of code in units (30.3% 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 (43 lines of code)
    • 2 very small units (13 lines of code)
0% | 0% | 0% | 76% | 23%
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% | 76% | 23%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
src0% | 0% | 0% | 76% | 23%
Alternative Visuals
Longest Units
Top 5 longest units
Unit# linesMcCabe index# params
def compute_features()
in imaging/src/radiomics_utils.py
 16 3 2
def check_feature_group()
in imaging/src/radiomics_utils.py
 14 3 1
def create_feature_group()
in imaging/src/radiomics_utils.py
 13 1 6
def wait_for_feature_group_creation_complete()
in imaging/src/radiomics_utils.py
 9 3 1
def cast_object_to_string()
in imaging/src/radiomics_utils.py
 4 3 1