# constant x.xxxx

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## Outputs

• constant x.xxxx

## Neuron type

Best algorithm has been found - locked

## Patterns

Pattern Input Output
1.
 1: 1 2: 2 3: 3 4: 4 5: 5
 constant x.xxxx: 1.2345
2.
 1: 9 2: 8 3: 7 4: 6 5: 5
 constant x.xxxx: 9.8765
3.
 1: 5 2: 4 3: 3 4: 2 5: 1
 constant x.xxxx: 5.4321

## Applicable neurons

• Connect - two inputs
• constant x.xxx
• Connect - four inputs
• constant x.xxx
• Sentence to question
• \\D
• Validate integer
• convert HH:MM:SS into hours, minutes, seconds
• Is X divisible by Y...

## Algorithm

### Test

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

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

/**
* character .:
*
* @return {Array}
*/
function neuron510()
{
return['.'];
}

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

/**
* constant x.x: Connect two numbers to number with a decimal point
*
* @param x1 Number before the decimal point
* @param x2 Number after the decimal point
* @return {Array}
*/
function neuron539(x1, x2)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;

arr = neuron510();
outputs[2] = arr[0];

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

arr = neuron520(outputs[3], outputs[1]);
outputs[4] = arr[0];

return[outputs[4]];
}

/**
* constant x.xx:
*
* @param x1 1
* @param x2 2
* @param x3 3
* @return {Array}
*/
function neuron711(x1, x2, x3)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
outputs[2] = x3;

arr = neuron520(outputs[1], outputs[2]);
outputs[3] = arr[0];

arr = neuron539(outputs[0], outputs[3]);
outputs[4] = arr[0];

return[outputs[4]];
}

/**
* constant x.xxx:
*
* @param x1 1
* @param x2 2
* @param x3 3
* @param x4 4
* @return {Array}
*/
function neuron712(x1, x2, x3, x4)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
outputs[2] = x3;
outputs[3] = x4;

arr = neuron520(outputs[2], outputs[3]);
outputs[4] = arr[0];

arr = neuron711(outputs[0], outputs[1], outputs[4]);
outputs[5] = arr[0];

return[outputs[5]];
}

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

/**
* constant x.xxxx:
*
* @param x1 1
* @param x2 2
* @param x3 3
* @param x4 4
* @param x5 5
* @return {Array}
*/
function neuron713(x1, x2, x3, x4, x5)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
outputs[2] = x3;
outputs[3] = x4;
outputs[4] = x5;

arr = neuron712(outputs[0], outputs[1], outputs[2], outputs[3]);
outputs[5] = arr[0];

arr = neuron520(outputs[5], outputs[4]);
outputs[6] = arr[0];

return[outputs[6]];
}

```
Code made by AI: