433. Minimum Genetic Mutation

Difficulty:
Related Topics:
Similar Questions:

Problem

A gene string can be represented by an 8-character long string, with choices from 'A', 'C', 'G', and 'T'.

Suppose we need to investigate a mutation from a gene string start to a gene string end where one mutation is defined as one single character changed in the gene string.

There is also a gene bank bank that records all the valid gene mutations. A gene must be in bank to make it a valid gene string.

Given the two gene strings start and end and the gene bank bank, return **the minimum number of mutations needed to mutate from *start* to **end. If there is no such a mutation, return -1.

Note that the starting point is assumed to be valid, so it might not be included in the bank.

  Example 1:

Input: start = "AACCGGTT", end = "AACCGGTA", bank = ["AACCGGTA"]
Output: 1

Example 2:

Input: start = "AACCGGTT", end = "AAACGGTA", bank = ["AACCGGTA","AACCGCTA","AAACGGTA"]
Output: 2

Example 3:

Input: start = "AAAAACCC", end = "AACCCCCC", bank = ["AAAACCCC","AAACCCCC","AACCCCCC"]
Output: 3

  Constraints:

Solution (Java)

import java.util.ArrayList;
import java.util.HashSet;
import java.util.LinkedList;
import java.util.List;
import java.util.Queue;
import java.util.Set;

public class Solution {
    private List<String> isInBank(Set<String> set, String cur) {
        List<String> res = new ArrayList<>();
        for (String each : set) {
            int diff = 0;
            for (int i = 0; i < each.length(); i++) {
                if (each.charAt(i) != cur.charAt(i)) {
                    diff++;
                    if (diff > 1) {
                        break;
                    }
                }
            }
            if (diff == 1) {
                res.add(each);
            }
        }
        return res;
    }

    public int minMutation(String start, String end, String[] bank) {
        Set<String> set = new HashSet<>();
        for (String s : bank) {
            set.add(s);
        }
        Queue<String> queue = new LinkedList<>();
        queue.offer(start);
        int step = 0;
        while (!queue.isEmpty()) {
            int curSize = queue.size();
            while (curSize-- > 0) {
                String cur = queue.poll();
                if (cur.equals(end)) {
                    return step;
                }
                for (String next : isInBank(set, cur)) {
                    queue.offer(next);
                    set.remove(next);
                }
            }
            step++;
        }
        return -1;
    }
}

Explain:

nope.

Complexity: