lpad

Description

function pads the left-side of a string with a specific set of characters

Inputs

  • string1
  • padded_length
  • pad_string

Outputs

  • return

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1.
string1: 7
padded_length: 0
pad_string: 2
return: 07
2.
string1: 66
padded_length: 9
pad_string: 2
return: 66
3.
string1: 10
padded_length: -
pad_string: 4
return: --10

Applicable neurons

  • Connect - two inputs
  • Substring (startPosition, endPosition)
  • Substring (from start to position)
  • Connect - five inputs
  • Connect - six inputs
  • Connect - two words (with space)
  • Get first letter
  • Get first word
  • Get last character
  • Get the last XY characters
  • Substring (from position to end)
  • Force
  • x² - y² = 0 (by x)
  • 3 digits of ascii code into character
  • Contains string word A or B?
  • 8+2=16106
  • center bottom
  • Find duplicate values

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 - 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]];
}


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

/**
 * Connect - five inputs: 
 * 
 * @param x1 1
 * @param x2 2
 * @param x3 3
 * @param x4 4
 * @param x5 5
 * @return {Array}
 */
function neuron651(x1, x2, x3, x4, x5)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;
  outputs[2] = x3;
  outputs[3] = x4;
  outputs[4] = x5;

  arr = neuron565(outputs[1], outputs[2], outputs[3], outputs[4]);
  outputs[5] = arr[0];

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

  return[outputs[6]];
}


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

/**
 * Minus (x - y): 
 *
 * @param x1 Number X
 * @param x2 Number Y
 * @return {Array}
 */
function neuron2(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '-'+Number(x2)).toString()];
}

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

/**
 * Substring (startPosition, endPosition): Get substring from string - from position - to pos
 *
 * @param x1 MyString
 * @param x2 start position
 * @param x3 end position
 * @return {Array}
 */
function neuron525(x1, x2, x3)
{
return[x1.toString().substring(x2, x3)];
}

/**
 * Substring (from position to end): 
 * 
 * @param x1 MyString
 * @param x2 start position
 * @return {Array}
 */
function neuron529(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

  arr = neuron528(outputs[0]);
  outputs[2] = arr[0];

  arr = neuron525(outputs[0], outputs[1], outputs[2]);
  outputs[3] = arr[0];

  return[outputs[3]];
}


/**
 * Get the last XY characters: Substring from {endOfString - x} to {endOfString}
 * 
 * @param x1 string
 * @param x2 x
 * @return {Array}
 */
function neuron727(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

  arr = neuron528(outputs[0]);
  outputs[2] = arr[0];

  arr = neuron2(outputs[2], outputs[1]);
  outputs[3] = arr[0];

  arr = neuron529(outputs[0], outputs[3]);
  outputs[4] = arr[0];

  return[outputs[4]];
}


/**
 * lpad: function pads the left-side of a string with a specific set of characters
 * 
 * @param x1 string1
 * @param x2 padded_length
 * @param x3 pad_string
 * @return {Array}
 */
function neuron882(x1, x2, x3)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;
  outputs[2] = x3;

  arr = neuron651(outputs[2], outputs[1], outputs[1], outputs[1], outputs[0]);
  outputs[3] = arr[0];

  arr = neuron727(outputs[3], outputs[2]);
  outputs[4] = arr[0];

  return[outputs[4]];
}


Code made by AI:

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