aws-samples / amazon-sagemaker-automated-feature-transformation
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 12 units with 169 lines of code in units (85.8% of code).
    • 0 very long units (0 lines of code)
    • 0 long units (0 lines of code)
    • 3 medium size units (86 lines of code)
    • 4 small units (51 lines of code)
    • 5 very small units (32 lines of code)
0% | 0% | 50% | 30% | 18%
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% | 50% | 30% | 18%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
ROOT0% | 0% | 50% | 30% | 18%
Alternative Visuals
Longest Units
Top 12 longest units
Unit# linesMcCabe index# params
def add_notif()
in pipeline_utils.py
 30 1 3
def _run_query()
in pipeline_utils.py
 30 7 4
def get_container()
in pipeline_utils.py
 26 1 1
def create_lambda()
in pipeline_utils.py
 15 1 3
def create_role()
in pipeline_utils.py
 14 1 1
def allow_s3()
in pipeline_utils.py
 11 1 3
def add_permissions()
in pipeline_utils.py
 11 1 1
def create_lambda_fcn()
in pipeline_utils.py
 10 1 2
def _get_offline_details()
in pipeline_utils.py
 9 2 3
6 1 2
def create_s3_trigger()
in pipeline_utils.py
 4 1 5
def describe_feature_group()
in pipeline_utils.py
 3 1 1