insert zero at the beginning, in case of one character

Inputs

  • number with 1 or 2 digits

Outputs

  • left padded number

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1.
number with 1 or 2 digits: 3
left padded number: 03
2.
number with 1 or 2 digits: 54
left padded number: 54
3.
number with 1 or 2 digits: 0
left padded number: 00

Applicable neurons

  • 0
  • 1
  • Connect - two inputs
  • Length of string
  • IF a=b THEN c ELSE d
  • fileName from path
  • character >
  • Rounding to whole hundredths of something
  • word capital
  • Is it odd?

Algorithm

Test

Code made by AI:
/**
 * Length of string: 
 *
 * @param x1 String
 * @return {Array}
 */
function neuron528(x1)
{
return[x1.toString().length];
}

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

/**
 * 1: 
 *
 * @return {Array}
 */
function neuron501()
{
return [1];
}

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

/**
 * 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]];
}


/**
 * insert zero at the beginning, in case of one character: 
 * 
 * @param x1 number with 1 or 2 digits
 * @return {Array}
 */
function neuron738(x1)
{
  var outputs = [];
  outputs[0] = x1;

  arr = neuron528(outputs[0]);
  outputs[1] = arr[0];

  arr = neuron500();
  outputs[2] = arr[0];

  arr = neuron501();
  outputs[3] = arr[0];

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

  arr = neuron724(outputs[3], outputs[1], outputs[4], outputs[0]);
  outputs[5] = arr[0];

  return[outputs[5]];
}


Code made by AI:

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