microsoft / 0xDeCA10B
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 149 units with 1,981 lines of code in units (67.8% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 9 medium complex units (662 lines of code)
    • 9 simple units (302 lines of code)
    • 131 very simple units (1,017 lines of code)
0% | 0% | 33% | 15% | 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% | 33% | 15% | 51%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
simulation/decai/simulation/data0% | 0% | 60% | 13% | 25%
simulation/decai/simulation0% | 0% | 29% | 10% | 59%
simulation/decai/simulation/contract/classification0% | 0% | 39% | 0% | 60%
simulation/decai/simulation/contract/incentive0% | 0% | 7% | 33% | 59%
simulation/decai/simulation/data/featuremapping0% | 0% | 0% | 80% | 20%
simulation/decai/simulation/contract0% | 0% | 0% | 0% | 100%
simulation/decai/simulation/contract/data0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
def export()
in simulation/decai/simulation/contract/classification/scikit_classifier.py
64 25 5
def load_data()
in simulation/decai/simulation/data/fitness_data_loader.py
96 24 3
def load_data()
in simulation/decai/simulation/data/ttt_data_loader.py
58 21 3
def task()
in simulation/decai/simulation/simulate.py
206 19 0
def handle_report()
in simulation/decai/simulation/contract/incentive/stakeable.py
25 14 5
def load_data()
in simulation/decai/simulation/data/news_data_loader.py
55 13 3
def load_data()
in simulation/decai/simulation/data/offensive_data_loader.py
66 13 3
def load_data()
in simulation/decai/simulation/data/news_data_loader.py
38 12 3
def _get_features()
in simulation/decai/simulation/data/titanic_data_loader.py
54 11 2
def process_contribution()
in simulation/decai/simulation/contract/incentive/prediction_market.py
91 10 1
def get_winner()
in simulation/decai/simulation/data/ttt_data_loader.py
23 10 2
def evaluate_on_self()
in simulation/decai/simulation/simulate_ttt_dt.py
36 9 2
def map()
in simulation/decai/simulation/data/featuremapping/feature_index_mapper.py
24 7 3
def get_next_add_data_cost()
in simulation/decai/simulation/contract/incentive/stakeable.py
10 6 3
def handle_refund()
in simulation/decai/simulation/contract/incentive/stakeable.py
18 6 6
def _load_kaggle_data()
in simulation/decai/simulation/data/news_data_loader.py
13 6 2
def load_data()
in simulation/decai/simulation/data/simple_data_loader.py
48 6 3
def play_game()
in simulation/decai/simulation/simulate_ttt_dt.py
39 6 2
def load_data()
in simulation/decai/simulation/data/imdb_data_loader.py
17 5 3
def save_plot_image()
in simulation/decai/simulation/simulate.py
17 5 3