tensorflow / community
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 22 units with 171 lines of code in units (58.0% 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)
    • 22 very simple units (171 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
ts0% | 0% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
20210731-tfjs-named-tensors0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
export function makeInitializer()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 12 5 1
function liftedFn()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 13 3 1
public rename()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 12 3 2
export function dot()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 31 2 2
function liftedFn()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 8 2 1
export function gtensorOfDims()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 7 2 1
export function stackGtensors()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 12 2 2
constructor()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 10 2 2
_resetDim()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 12 2 0
export function liftFnOverDim()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 5 1 2
constructor()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 6 1 1
get dtype()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 3 1 0
export function stack()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 7 1 2
public transpose()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 3 1 0
public renaming()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 2 1 0
public _permuteIndexTo()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 15 1 2
public permuteDimNameToLast()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 3 1 1
export function fromInitializer()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 2 1 0
export function makeTruncNormal()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 1 1 0
export function makeZeros()
in rfcs/20210731-tfjs-named-tensors/gtensor.ts
 3 1 2