aws / sagemaker-jumpstart-industry-pack
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 51 units with 297 lines of code in units (31.5% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 1 medium complex units (27 lines of code)
    • 0 simple units (0 lines of code)
    • 50 very simple units (270 lines of code)
0% | 0% | 9% | 0% | 90%
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% | 9% | 0% | 90%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
src/smjsindustry/finance0% | 0% | 9% | 0% | 90%
ROOT0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
def __init__()
in src/smjsindustry/finance/nlp_score_type.py
 27 11 3
def __init__()
in src/smjsindustry/finance/processor_config.py
 15 4 2
def _get_freq_label_by_week()
in src/smjsindustry/finance/utils.py
 7 3 1
def _get_freq_label_by_month()
in src/smjsindustry/finance/utils.py
 7 3 1
def _get_freq_label_by_quarter()
in src/smjsindustry/finance/utils.py
 7 3 1
def _get_freq_label_by_year()
in src/smjsindustry/finance/utils.py
 7 3 1
def get_freq_label()
in src/smjsindustry/finance/utils.py
 7 3 2
def _get_freq_label_by_day()
in src/smjsindustry/finance/utils.py
 4 2 1
def __init__()
in src/smjsindustry/finance/processor_config.py
 2 1 2
def get_config()
in src/smjsindustry/finance/processor_config.py
 2 1 1
def processor_type()
in src/smjsindustry/finance/processor_config.py
 2 1 1
def __init__()
in src/smjsindustry/finance/processor_config.py
 7 1 0
def get_config()
in src/smjsindustry/finance/processor_config.py
 9 1 1
def summary_size()
in src/smjsindustry/finance/processor_config.py
 2 1 1
def summary_percentage()
in src/smjsindustry/finance/processor_config.py
 2 1 1
def max_tokens()
in src/smjsindustry/finance/processor_config.py
 2 1 1
def cutoff()
in src/smjsindustry/finance/processor_config.py
 2 1 1
def vocabulary()
in src/smjsindustry/finance/processor_config.py
 2 1 1
def __init__()
in src/smjsindustry/finance/processor_config.py
 8 1 0
def get_config()
in src/smjsindustry/finance/processor_config.py
 10 1 1