A transformation sequence from word beginWord to word endWord using a dictionary wordList is a sequence of words beginWord ->
$s_1$ ->$s_2$ -> ... ->$s_k$ such that:
- Every adjacent pair of words differs by a single letter.
- Every
$s_i$ for$1$ <=$i$ <=$k$ is in wordList. Note that beginWord does not need to be in wordList. -
$s_k$ == 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
- All the words in wordList are unique.
Problem can be found in here!
Solution: Breadth-First Search
def ladderLength(beginWord: str, endWord: str, wordList: List[str]) -> int:
memo = set(wordList)
queue = deque([(beginWord, 0)])
while queue:
word, counter = queue.popleft()
if word == endWord:
return counter+1
for i in range(len(word)):
for char in ascii_lowercase:
new_word = word[:i] + char + word[i+1:]
if new_word in memo:
memo.remove(new_word)
queue.append((new_word, counter+1))
return 0
Time Complexity: