# hejneho matematika 2 - 1/1

## Inputs

• pocet kamaratov

• pocet jablk

## Neuron type

Best algorithm has been found - locked

## Patterns

Pattern Input Output
1.
 pocet kamaratov: 12
 pocet jablk: 2
2.
 pocet kamaratov: 6
 pocet jablk: 4
3.
 pocet kamaratov: 4
 pocet jablk: 6
4.
 pocet kamaratov: 2
 pocet jablk: 12
5.
 pocet kamaratov: 24
 pocet jablk: 1

## Applicable neurons

• Plus (x + y)
• Minus (x - y)
• Multiple (x × y)
• Division (x ÷ y)
• 24
• ext from path
• character d
• character h
• Midpoint (2d)
• minutes into seconds

## Algorithm

### Test

```/**
* 2:
*
* @return {Array}
*/
function neuron502()
{
return [2];
}

/**
* 4:
*
* @return {Array}
*/
function neuron504()
{
return [4];
}

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

/**
* 24:
*
* @return {Array}
*/
function neuron855()
{
var outputs = [];

arr = neuron502();
outputs[0] = arr[0];

arr = neuron504();
outputs[1] = arr[0];

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

return[outputs[2]];
}

/**
* 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()];
}

/**
* hejneho matematika 2 - 1/1:
*
* @param x1 pocet kamaratov
* @return {Array}
*/
function neuron925(x1)
{
var outputs = [];
outputs[0] = x1;

arr = neuron855();
outputs[1] = arr[0];

arr = neuron17(outputs[1], outputs[0]);
outputs[2] = arr[0];

return[outputs[2]];
}

```