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word-ladder.js
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word-ladder.js
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/**
* Word Ladder
*
* 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:
*
* 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:
*
* 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.
*/
/**
* Bidirectional BFS
*
* @param {string} beginWord
* @param {string} endWord
* @param {string[]} wordList
* @return {number}
*/
const ladderLength = (beginWord, endWord, wordList) => {
// Step 1. Build the words set
const dict = new Set(wordList);
if (!dict.has(endWord)) {
return 0;
}
let head = new Set([beginWord]);
let tail = new Set([endWord]);
let distance = 2;
dict.delete(beginWord);
dict.delete(endWord);
while (head.size > 0 && tail.size > 0) {
if (head.size > tail.size) {
[head, tail] = [tail, head];
}
const temp = new Set();
for (let [word] of head.entries()) {
const characters = word.split('');
for (let i = 0; i < characters.length; i++) {
const char = characters[i];
for (let j = 0; j < 26; j++) {
characters[i] = String.fromCharCode(97 + j);
const newWord = characters.join('');
if (newWord === word) {
continue;
}
if (tail.has(newWord)) {
return distance;
}
if (dict.has(newWord)) {
dict.delete(newWord);
temp.add(newWord);
}
}
characters[i] = char;
}
}
distance++;
head = temp;
}
return 0;
};
export { ladderLength };