Calculate VAT

Inputs

  • Price without VAT
  • Price with VAT

Outputs

  • VAT

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1.
Price without VAT: 100
Price with VAT: 120
VAT: 20
2.
Price without VAT: 200
Price with VAT: 300
VAT: 50
3.
Price without VAT: 10
Price with VAT: 11.9
VAT: 19

Applicable neurons

  • Plus (x + y)
  • Minus (x - y)
  • Multiple (x × y)
  • Division (x ÷ y)
  • 100
  • Volume Of a Pyramid
  • character [
  • Surface area Of a Sphere
  • character $
  • middle
  • Is it odd?

Algorithm

Test

Code made by AI:
/**
 * Minus (x - y): 
 *
 * @param x1 Number X
 * @param x2 Number Y
 * @return {Array}
 */
function neuron2(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '-'+Number(x2)).toString()];
}

/**
 * Division (x ÷ y): X / Y
 *
 * @param x1 first number
 * @param x2 second number
 * @return {Array}
 */
function neuron17(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '/'+Number(x2)).toString()];
}

/**
 * 1: 
 *
 * @return {Array}
 */
function neuron501()
{
return [1];
}

/**
 * 0: 
 *
 * @return {Array}
 */
function neuron500()
{
return [0];
}

/**
 * Connect - two inputs: 
 *
 * @param x1 Variable A
 * @param x2 Variable B
 * @return {Array}
 */
function neuron520(x1, x2)
{
return [x1.toString()+x2.toString()];
}

/**
 * 100: 
 * 
 * @return {Array}
 */
function neuron537()
{
  var outputs = [];

  arr = neuron501();
  outputs[0] = arr[0];

  arr = neuron500();
  outputs[1] = arr[0];

  arr = neuron520(outputs[1], outputs[1]);
  outputs[2] = arr[0];

  arr = neuron520(outputs[0], outputs[2]);
  outputs[3] = arr[0];

  return[outputs[3]];
}


/**
 * Multiple (x × y): 
 *
 * @param x1 Number X
 * @param x2 Number Y
 * @return {Array}
 */
function neuron3(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '*'+Number(x2)).toString()];
}

/**
 * Calculate VAT: 
 * 
 * @param x1 Price without VAT
 * @param x2 Price with VAT
 * @return {Array}
 */
function neuron655(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

  arr = neuron2(outputs[1], outputs[0]);
  outputs[2] = arr[0];

  arr = neuron17(outputs[2], outputs[0]);
  outputs[3] = arr[0];

  arr = neuron537();
  outputs[4] = arr[0];

  arr = neuron3(outputs[4], outputs[3]);
  outputs[5] = arr[0];

  return[outputs[5]];
}


Code made by AI:

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