Inputs
-
Price without VAT
-
Price with VAT
Outputs
Neuron type
Best algorithm has been found - locked
Patterns
Pattern |
Input |
Output |
1. |
Price without VAT: |
100 |
Price with VAT: |
120 |
|
|
2. |
Price without VAT: |
200 |
Price with VAT: |
300 |
|
|
3. |
Price without VAT: |
10 |
Price with VAT: |
11.9 |
|
|
Applicable neurons
-
Plus (x + y)
-
Minus (x - y)
-
Multiple (x × y)
-
Division (x ÷ y)
-
100
-
Rectangle - content
-
Half (0.5)
-
Substring (from position to end)
-
Prepend zero to two characters
-
hejneho matematika 2 - 15/6
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: