Cut String At specific character

Inputs

  • string
  • specific character

Outputs

  • Output

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1.
string: abc, def
specific character: ,
Output: abc
2.
string: 123-4
specific character: -
Output: 123
3.
string: abcdef
specific character: &
Output: abcdef

Applicable neurons

  • Substring (from start to position)
  • Substring (from position to end)
  • Get substring between string1 and string2
  • Get after substring
  • Get before substring
  • IF
  • character \
  • character >
  • character /
  • Rectangular cuboid - Surface Area
  • Get first letter
  • max (from 2 values)
  • character x
  • Time to deadline

Algorithm

Test

Code made by AI:
/**
 * Position: Search position substring of string
 *
 * @param x1 MyString
 * @param x2 FindMe
 * @return {Array}
 */
function neuron523(x1, x2)
{
return [x1.toString().indexOf(x2.toString())];
}

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

/**
 * 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)];
}

/**
 * Get before substring: 
 * 
 * @param x1 MyString
 * @param x2 Substring
 * @return {Array}
 */
function neuron532(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

  arr = neuron523(outputs[0], outputs[1]);
  outputs[2] = arr[0];

  arr = neuron500();
  outputs[3] = arr[0];

  arr = neuron525(outputs[0], outputs[2], outputs[3]);
  outputs[4] = arr[0];

  return[outputs[4]];
}


/**
 * 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];
}

/**
 * Cut String At specific character: 
 * 
 * @param x1 string
 * @param x2 specific character
 * @return {Array}
 */
function neuron822(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

  arr = neuron532(outputs[0], outputs[1]);
  outputs[2] = arr[0];

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

  return[outputs[3]];
}


Code made by AI:

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