leetcode 127. word ladder

127. Word Ladder

Difficulty:: Medium

Given two words (beginWord and endWord), and a dictionary’s word list, find the length of shortest transformation sequence from beginWord to endWord, such that:

  1. Only one letter can be changed at a time.
  2. Each transformed word must exist in the word list. Note that beginWord is not a transformed word.

Note:

  • Return 0 if there is no such transformation sequence.
  • All words have the same length.
  • All words contain only lowercase alphabetic characters.
  • You may assume no duplicates in the word list.
  • You may assume beginWord and endWord are non-empty and are not the same.

Example 1:

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Input:
beginWord = "hit",
endWord = "cog",
wordList = ["hot","dot","dog","lot","log","cog"]

Output: 5

Explanation: As one shortest transformation is "hit" -> "hot" -> "dot" -> "dog" -> "cog",
return its length 5.

Example 2:

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Input:
beginWord = "hit"
endWord = "cog"
wordList = ["hot","dot","dog","lot","log"]

Output: 0

Explanation: The endWord "cog" is not in wordList, therefore no possible transformation.

Solution

Language: Java

通过修改word中的字母生成 78%

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class  {
public int ladderLength(String beginWord, String endWord, List<String> wordList) {
if (beginWord == null || endWord == null || wordList == null || wordList.size() == 0) {
return 0;
}
Set<String> wordSet = new HashSet<>(wordList);
if (!wordSet.contains(endWord)) {
return 0;
}
Queue<String> q = new LinkedList<>();
q.offer(beginWord);
int length = 1;
while (!q.isEmpty()) {
int size = q.size();
for (int i = 0; i < size; i++) {
String curWord = q.poll();
for (String next : nextWords(curWord, wordSet)) {
if (next.equals(endWord)) {
return length + 1;
}
q.offer(next);
}
}
length++;
}
return 0;

}

private List<String> nextWords(String word, Set<String> wordSet) {
List<String> nextWords = new ArrayList<>();
char[] chars = word.toCharArray();
for (int i = 0; i < chars.length; i++) {
char origin = chars[i];
for (char c = 'a'; c <= 'z'; c++) {
if (c == origin) {
continue;
}
chars[i] = c;
String newStr = new String(chars);
if (wordSet.contains(newStr)) {
nextWords.add(newStr);
wordSet.remove(newStr);
}
}
chars[i] = origin;
}
return nextWords;
}
}