aws-samples / sagemaker-huggingface-nlp
Conditional Complexity

The distribution of complexity of units (measured with McCabe index).

Intro
  • Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
  • Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
  • Conditional complexity is measured at the unit level (methods, functions...).
  • Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).
Learn more...
Conditional Complexity Overall
  • There are 16 units with 132 lines of code in units (45.8% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 2 medium complex units (40 lines of code)
    • 2 simple units (24 lines of code)
    • 12 very simple units (68 lines of code)
0% | 0% | 30% | 18% | 51%
Legend:
51+
26-50
11-25
6-10
1-5
Alternative Visuals
Conditional Complexity per Extension
51+
26-50
11-25
6-10
1-5
py0% | 0% | 30% | 18% | 51%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
scripts0% | 0% | 27% | 16% | 56%
ROOT0% | 0% | 33% | 20% | 45%
Most Complex Units
Top 16 most complex units
Unit# linesMcCabe index# params
def read_squad()
in distilbertqatrain.py
 20 11 1
def read_squad()
in scripts/train.py
 20 11 1
def add_end_idx()
in distilbertqatrain.py
 12 8 2
def add_end_idx()
in scripts/train.py
 12 8 2
def add_token_positions()
in distilbertqatrain.py
 11 5 2
def add_token_positions()
in scripts/train.py
 11 5 2
def get_data()
in distilbertqatrain.py
 10 4 0
def input_handler()
in scripts/inference.py
 10 3 2
def __getitem__()
in distilbertqatrain.py
 2 2 2
def __getitem__()
in scripts/train.py
 2 2 2
def output_handler()
in scripts/inference.py
 6 2 2
def model_fn()
in scripts/inference.py
 8 2 1
def __init__()
in distilbertqatrain.py
 2 1 2
def __len__()
in distilbertqatrain.py
 2 1 1
def __init__()
in scripts/train.py
 2 1 2
def __len__()
in scripts/train.py
 2 1 1