aws-samples / sagemaker-studio-notebook-magic-cell
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 57 units with 278 lines of code in units (60.0% 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)
    • 0 simple units (0 lines of code)
    • 57 very simple units (278 lines of code)
0% | 0% | 0% | 0% | 100%
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% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
sage_maker_magic/sage_maker_kernel0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
def _full_fill_args()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
8 5 1
def main()
in sage_maker_magic/sage_maker_kernel/install.py
15 4 1
def _execute_cell()
in sage_maker_magic/sage_maker_kernel/kernel.py
9 4 8
def _clean_args()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
4 3 1
def __init__()
in sage_maker_magic/sage_maker_kernel/kernel.py
16 3 9
def upload_content()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
8 2 2
def _process_latest()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
5 2 2
def _is_root()
in sage_maker_magic/sage_maker_kernel/install.py
5 2 0
def _execute_cell_for_user()
in sage_maker_magic/sage_maker_kernel/kernel.py
5 2 6
def hyperparameters()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
2 1 1
def metric_definitions()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
5 1 1
def arguments()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
2 1 1
def __init__()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
13 1 3
def _get_config()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
3 1 1
def _get_latest_job_name()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
2 1 1
def _show_defaults()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
2 1 1
def __init__()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
2 1 3
def _get_config()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
3 1 1
def _full_fill_args()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
5 1 1
def _submit()
in sage_maker_magic/sage_maker_kernel/kernelmagics.py
16 1 1