aws-samples / mangrove-landcover-classification
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 12 units with 174 lines of code in units (82.5% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 0 medium complex units (0 lines of code)
    • 3 simple units (83 lines of code)
    • 9 very simple units (91 lines of code)
0% | 0% | 0% | 47% | 52%
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% | 0% | 47% | 52%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
src0% | 0% | 0% | 47% | 52%
Most Complex Units
Top 12 most complex units
Unit# linesMcCabe index# params
def split_dataset()
in src/data_utils.py
 27 10 3
def main()
in src/data_utils.py
 19 6 0
def plot_inference()
in src/plot_utils.py
 37 6 5
def plot_bands()
in src/plot_utils.py
 20 5 2
def get_model_prediction()
in src/inf_utils.py
 23 4 4
def points_to_df()
in src/data_utils.py
 7 1 1
def satellite_data()
in src/data_utils.py
 8 1 3
def sample_points()
in src/data_utils.py
 10 1 6
def get_masks()
in src/data_utils.py
 5 1 1
def get_data_by_zone_year()
in src/data_utils.py
 7 1 0
def save_regional_data()
in src/data_utils.py
 9 1 3
def get_mangrove_data()
in src/data_utils.py
 2 1 0