Rounding to whole tenths of something

Description

round(x, 1)

Inputs

  • Value

Outputs

  • Rounded value

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1.
Value: 12.921
Rounded value: 12.9
2.
Value: 80
Rounded value: 80
3.
Value: 4.38
Rounded value: 4.4

Applicable neurons

  • Multiple (x × y)
  • Division (x ÷ y)
  • Round to an integer
  • 10
  • Quadratic equation (ax² + bx + c = 0)
  • Decimal to Hexadecimal

Algorithm

Test

Code made by AI:
/**
 * 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()];
}

/**
 * 10: 
 * 
 * @return {Array}
 */
function neuron621()
{
  var outputs = [];

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

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

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

  return[outputs[2]];
}


/**
 * 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()];
}

/**
 * Round to an integer: round(x)
 *
 * @param x1 Value
 * @return {Array}
 */
function neuron620(x1)
{
return[Math.round(Number(x1))]
}

/**
 * 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()];
}

/**
 * Rounding to whole tenths of something: round(x, 1)
 * 
 * @param x1 Value
 * @return {Array}
 */
function neuron622(x1)
{
  var outputs = [];
  outputs[0] = x1;

  arr = neuron621();
  outputs[1] = arr[0];

  arr = neuron3(outputs[1], outputs[0]);
  outputs[2] = arr[0];

  arr = neuron620(outputs[2]);
  outputs[3] = arr[0];

  arr = neuron17(outputs[3], outputs[1]);
  outputs[4] = arr[0];

  return[outputs[4]];
}


Code made by AI:

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