facebookresearch / InferSent
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 15 units with 186 lines of code in units (76.9% 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)
    • 5 simple units (95 lines of code)
    • 10 very simple units (91 lines of code)
0% | 0% | 0% | 51% | 48%
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% | 51% | 48%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
ROOT0% | 0% | 0% | 51% | 48%
Most Complex Units
Top 15 most complex units
Unit# linesMcCabe index# params
20 10 5
def get_w2v_k()
in models.py
 16 8 2
def visualize()
in models.py
 23 8 3
def forward()
in models.py
 26 7 2
10 6 3
def encode()
in models.py
 20 5 5
def __init__()
in models.py
 21 4 2
def update_vocab()
in models.py
 13 4 3
def get_w2v()
in models.py
 10 3 2
def get_batch()
in models.py
 6 3 2
def is_cuda()
in models.py
 2 2 1
def tokenize()
in models.py
 8 2 2
def set_w2v_path()
in models.py
 2 1 2
def build_vocab()
in models.py
 5 1 3
4 1 2