aws-deepracer / aws-deepracer-model-optimizer-pkg
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 11 units with 178 lines of code in units (57.8% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 2 medium complex units (94 lines of code)
    • 1 simple units (21 lines of code)
    • 8 very simple units (63 lines of code)
0% | 0% | 52% | 11% | 35%
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% | 52% | 11% | 35%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
model_optimizer_pkg/model_optimizer_pkg0% | 0% | 55% | 12% | 31%
model_optimizer_pkg/launch0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 11 most complex units
Unit# linesMcCabe index# params
def convert_to_mo_cli()
in model_optimizer_pkg/model_optimizer_pkg/model_optimizer_node.py
 68 24 8
def optimize_tf_model()
in model_optimizer_pkg/model_optimizer_pkg/model_optimizer_node.py
 26 11 8
def run_optimizer()
in model_optimizer_pkg/model_optimizer_pkg/model_optimizer_node.py
 21 7 4
def set_platform_param()
in model_optimizer_pkg/model_optimizer_pkg/model_optimizer_node.py
 7 3 3
def __init__()
in model_optimizer_pkg/model_optimizer_pkg/model_optimizer_node.py
 11 2 1
def model_optimizer()
in model_optimizer_pkg/model_optimizer_pkg/model_optimizer_node.py
 17 2 3
def generate_launch_description()
in model_optimizer_pkg/launch/model_optimizer_pkg_launch.py
 9 1 0
def get_list()
in model_optimizer_pkg/model_optimizer_pkg/constants.py
 4 1 0
def get_list()
in model_optimizer_pkg/model_optimizer_pkg/constants.py
 5 1 0
def timer_callback()
in model_optimizer_pkg/model_optimizer_pkg/model_optimizer_node.py
 3 1 1
def main()
in model_optimizer_pkg/model_optimizer_pkg/model_optimizer_node.py
 7 1 1