Algorithm No Repeats Please

Algorithm No Repeats Please

Problem Explanation:

This task requires us to look at each possible permutation of a string. This can be done using a recursion function, but it is not the only way. A common interview question is building a function which collects all permutations of a string. So there is no shortage of tutorials out there on how to do this, in many different code languages.

Potential Methods Used As Solution

This task can still be daunting even after watching a tutorial. To write a recursive solution, you will want to send each new use of the function three inputs:

1. a new string (or character array) that is being built,
2. a position in your new string that's going to be filled next, and
3. an idea of what characters (more specifically positions) from the original string have yet to be used.

The pseudo code will look something like this:

var str = ???;
permAlone(current position in original string, characters used already in original string, created string) {
  if (current string is finished) {
    print current string;
  } else {
    for (var i = 0; i < str.length; i++) {
      if (str[i] has not been used) {
        put str[i] into the current position of new string;
        mark str[i] as used;
        permAlone(current position in original string, characters used already in original string, created string);
        remove str[i] as used because another branch in the tree for i + 1 will likely use it;
      }
    }
  }
}
permAlone(0, nothing used yet, empty new string (or array the same size as str));

Another way to think about this problem is to start from an empty space. Introduce the first letter to the space. This space will now contain the first sub-permutation. Here's a diagram illustrating the idea:

// An approach to introduce a new character to a permutation
var ch = '?';
var source = ['?', '?', '?'];     // Current sub-permutation
var temp, dest = [];

for (var i = 0; i <= source.length; ++i) {
  temp = source.slice(0);         // Copy the array
  temp.splice(i, 0, ch);          // Insert the new character
  dest.push(temp);                // Store the new sub-permutation
}

Finding each permutation could then be done non-recursively by including the above in a function taking a source array and returning a destination array. For each letter of the input string, pass that character, as well as the array returned from the previous call of the function.

A way to visualize this is by considering a tree that starts with the first character of your string:

Hint: 1

• The easiest way is to use Heap's algorithm to recursively get a list of all the permutations.

Hint: 2

• Once you have the list then just create a regular expression to catch the repeating characters.

Hint: 3

• You will want to have the permutations as an array of joined strings instead of separated characters.

Spoiler Alert!

Solution ahead!

Code Solution:

function permAlone(str) {

  // Create a regex to match repeated consecutive characters.
  var regex = /(.)\1+/g;

  // Split the string into an array of characters.
  var arr = str.split('');
  var permutations = [];
  var tmp;

  // Return 0 if str contains same character.
  if (str.match(regex) !== null && str.match(regex)[0] === str) return 0;

  // Function to swap variables' content.
  function swap(index1, index2) {
    tmp = arr[index1];
    arr[index1] = arr[index2];
    arr[index2] = tmp;
  }

  // Generate arrays of permutations using the algorithm.
  function generate(int) {
    if (int === 1) {
      // Make sure to join the characters as we create  the permutation arrays
      permutations.push(arr.join(''));
    } else {
      for (var i = 0; i != int; ++i) {
        generate(int - 1);
        swap(int % 2 ? 0 : i, int - 1);
      }
    }
  }

  generate(arr.length);

  // Filter the array of repeated permutations.
  var filtered = permutations.filter(function(string) {
    return !string.match(regex);
  });

  // Return how many have no repetitions.
  return filtered.length;
}

// Test here.
permAlone('aab');

🚀 Run Code

Code Explanation:

• Read comments in code

Credits:

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