Hard
A transformation sequence from word beginWord
to word endWord
using a dictionary wordList
is a sequence of words beginWord -> s1 -> s2 -> ... -> sk
such that:
si
for 1 <= i <= k
is in wordList
. Note that beginWord
does not need to be in wordList
.sk == endWord
Given two words, beginWord
and endWord
, and a dictionary wordList
, return the number of words in the shortest transformation sequence from beginWord
to endWord
, or 0
if no such sequence exists.
Example 1:
Input: beginWord = “hit”, endWord = “cog”, wordList = [“hot”,”dot”,”dog”,”lot”,”log”,”cog”]
Output: 5
Explanation: One shortest transformation sequence is “hit” -> “hot” -> “dot” -> “dog” -> cog”, which is 5 words long.
Example 2:
Input: beginWord = “hit”, endWord = “cog”, wordList = [“hot”,”dot”,”dog”,”lot”,”log”]
Output: 0
Explanation: The endWord “cog” is not in wordList, therefore there is no valid transformation sequence.
Constraints:
1 <= beginWord.length <= 10
endWord.length == beginWord.length
1 <= wordList.length <= 5000
wordList[i].length == beginWord.length
beginWord
, endWord
, and wordList[i]
consist of lowercase English letters.beginWord != endWord
wordList
are unique.import java.util.HashSet;
import java.util.List;
import java.util.Set;
public class Solution {
public int ladderLength(String beginWord, String endWord, List<String> wordDict) {
Set<String> beginSet = new HashSet<>();
Set<String> endSet = new HashSet<>();
Set<String> wordSet = new HashSet<>(wordDict);
Set<String> visited = new HashSet<>();
if (!wordDict.contains(endWord)) {
return 0;
}
int len = 1;
int strLen = beginWord.length();
beginSet.add(beginWord);
endSet.add(endWord);
while (!beginSet.isEmpty() && !endSet.isEmpty()) {
if (beginSet.size() > endSet.size()) {
Set<String> temp = beginSet;
beginSet = endSet;
endSet = temp;
}
Set<String> tempSet = new HashSet<>();
for (String s : beginSet) {
char[] chars = s.toCharArray();
for (int i = 0; i < strLen; i++) {
char old = chars[i];
for (char j = 'a'; j <= 'z'; j++) {
chars[i] = j;
String temp = new String(chars);
if (endSet.contains(temp)) {
return len + 1;
}
if (!visited.contains(temp) && wordSet.contains(temp)) {
tempSet.add(temp);
visited.add(temp);
}
}
chars[i] = old;
}
}
beginSet = tempSet;
len++;
}
return 0;
}
}