# ≤, ≥ opposite

• Symbol

## Outputs

• Opposite symbol

## Neuron type

Best algorithm has been found - locked

## Patterns

Pattern Input Output
1.
 Symbol: ≤
 Opposite symbol: ≥
2.
 Symbol: ≥
 Opposite symbol: ≤
5.
 Symbol: =
 Opposite symbol: =

## Applicable neurons

• character ≤
• character ≥
• IF a=b THEN c ELSE d
• Cube - surface area
• when sentence contains a, return b, else return c
• value is null

## Algorithm

### Test

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

/**
* 5:
*
* @return {Array}
*/
function neuron505()
{
return [5];
}

/**
* 8:
*
* @return {Array}
*/
function neuron508()
{
return [8];
}

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

/**
* Connect - four inputs:
*
* @param x1 string A
* @param x2 string B
* @param x3 string C
* @param x4 string D
* @return {Array}
*/
function neuron565(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 = neuron520(outputs[1], outputs[4]);
outputs[5] = arr[0];

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

return[outputs[6]];
}

/**
* Ascii code into character:
*
* @param x1 ascii code
* @return {Array}
*/
function neuron585(x1)
{
return [String.fromCharCode(x1)];
}

/**
* character ≥:
*
* @return {Array}
*/
function neuron723()
{
var outputs = [];

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

arr = neuron505();
outputs[1] = arr[0];

arr = neuron508();
outputs[2] = arr[0];

arr = neuron565(outputs[2], outputs[2], outputs[0], outputs[1]);
outputs[3] = arr[0];

arr = neuron585(outputs[3]);
outputs[4] = arr[0];

return[outputs[4]];
}

/**
* 8:
*
* @return {Array}
*/
function neuron508()
{
return [8];
}

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

/**
* 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()];
}

/**
* Connect - four inputs:
*
* @param x1 string A
* @param x2 string B
* @param x3 string C
* @param x4 string D
* @return {Array}
*/
function neuron565(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 = neuron520(outputs[1], outputs[4]);
outputs[5] = arr[0];

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

return[outputs[6]];
}

/**
* Ascii code into character:
*
* @param x1 ascii code
* @return {Array}
*/
function neuron585(x1)
{
return [String.fromCharCode(x1)];
}

/**
* character ≤:
*
* @return {Array}
*/
function neuron722()
{
var outputs = [];

arr = neuron508();
outputs[0] = arr[0];

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

arr = neuron504();
outputs[2] = arr[0];

arr = neuron565(outputs[0], outputs[0], outputs[1], outputs[2]);
outputs[3] = arr[0];

arr = neuron585(outputs[3]);
outputs[4] = arr[0];

return[outputs[4]];
}

/**
* a = b: IF a=b THEN 1 ELSE 0;
*
* @param x1 a
* @param x2 b
* @return {Array}
*/
function neuron591(x1, x2)
{
return [(x1 == x2) ? 1 : 0];
}

/**
* IF: IF a THEN b ELSE c;
*
* @param x1 condition (1/0)
* @param x2 variable for 1
* @param x3 variable for 0
* @return {Array}
*/
function neuron579(x1, x2, x3)
{
return [(x1) ? x2 : x3];
}

/**
* IF a=b THEN c ELSE d:
*
* @param x1 a
* @param x2 b
* @param x3 c
* @param x4 d
* @return {Array}
*/
function neuron724(x1, x2, x3, x4)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
outputs[2] = x3;
outputs[3] = x4;

arr = neuron591(outputs[1], outputs[0]);
outputs[4] = arr[0];

arr = neuron579(outputs[4], outputs[2], outputs[3]);
outputs[5] = arr[0];

return[outputs[5]];
}

/**
* ≤, ≥ opposite:
*
* @param x1 Symbol
* @return {Array}
*/
function neuron721(x1)
{
var outputs = [];
outputs[0] = x1;

arr = neuron723();
outputs[1] = arr[0];

arr = neuron722();
outputs[2] = arr[0];

arr = neuron724(outputs[2], outputs[0], outputs[1], outputs[0]);
outputs[3] = arr[0];

arr = neuron724(outputs[0], outputs[1], outputs[2], outputs[3]);
outputs[4] = arr[0];

return[outputs[4]];
}

```