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Problem solution · Java

Reorganize String

Reorganize String: a Java solution using breadth-first search. Learn the idea, check the complexity, and read the full code, with credit to walkccc LeetCode Solutions.

Technique
Breadth-first search
Source
walkccc LeetCode Solutions
Length
38 lines
Start with the idea.

Try the problem first. If you get stuck, read the approach below, then write your own solution. The full code is at the bottom.

Approach

Breadth-first search

For Reorganize String, the implementation explores reachable states in layers, which is the standard shape for unweighted shortest paths and minimum-step transitions.

  1. Model each valid configuration as a state and each legal move as an edge.
  2. Seed the queue with the starting state and mark it immediately.
  3. Expand each state once, recording distance or reachability for unseen neighbours.

Code notes

  • 38 lines of Java from the credited upstream file 767.java.
  • The implementation visibly relies on hash lookup, ordered lookup, work queue.
  • 3 loop blocks detected.

Complexity

Verify that each state and transition is processed only a bounded number of times; that determines the traversal cost.

Check the problem constraints before deciding whether this complexity will pass.

Source

Code and credit

This code comes from walkccc LeetCode Solutions by P.-Y. Chen (walkccc) and is used under the MIT licence.

Open problem ↗Original source ↗
Full codeReorganize String · JavaJava
Use this to learn the idea, then write your own version.
class Solution {  public String reorganizeString(String s) {    Map<Character, Integer> count = new HashMap<>();    int maxFreq = 0;     for (final char c : s.toCharArray())      maxFreq = Math.max(maxFreq, count.merge(c, 1, Integer::sum));     if (maxFreq > (s.length() + 1) / 2)      return "";     StringBuilder sb = new StringBuilder();    // (freq, c)    Queue<Pair<Integer, Character>> maxHeap =        new PriorityQueue<>(Comparator.comparing(Pair::getKey, Comparator.reverseOrder()));    int prevFreq = 0;    char prevChar = '@';     for (final char c : count.keySet())      maxHeap.offer(new Pair<>(count.get(c), c));     while (!maxHeap.isEmpty()) {      // Get the letter with the maximum frequency.      final int freq = maxHeap.peek().getKey();      final char c = maxHeap.poll().getValue();      sb.append(c);      // Add the previous letter back s.t. any two adjacent characters are not      // the same.      if (prevFreq > 0)        maxHeap.offer(new Pair<>(prevFreq, prevChar));      prevFreq = freq - 1;      prevChar = c;    }     return sb.toString();  }}

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