seconds per day

Inputs

Outputs

  • 1 day = 86 400 seconds

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1
1 day = 86 400 seconds: 86400

Applicable neurons

  • Multiple (x × y)
  • 60
  • 24
  • character >
  • Rounding to whole tenths of something
  • Midpoint (2d)
  • character r
  • delete character at the end of a sentence
  • Contains string word A or B?
  • HH:MM:SS + HH:MM:SS = ?
  • First child X position

Algorithm

Test

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

/**
 * 6: 
 *
 * @return {Array}
 */
function neuron506()
{
return [6];
}

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

/**
 * 60: 
 * 
 * @return {Array}
 */
function neuron734()
{
  var outputs = [];

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

  arr = neuron506();
  outputs[1] = arr[0];

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

  return[outputs[2]];
}


/**
 * 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]];
}


/**
 * 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()];
}

/**
 * seconds per day: 
 * 
 * @return {Array}
 */
function neuron895()
{
  var outputs = [];

  arr = neuron734();
  outputs[0] = arr[0];

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

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

  arr = neuron3(outputs[0], outputs[2]);
  outputs[3] = arr[0];

  return[outputs[3]];
}


Code made by AI:

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