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127-WordLadder.swift
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127-WordLadder.swift
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// 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:
// Only one letter can be changed at a time.
// 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.
let letters = "abcdefghijklmnopqrstuvwxyz"
/// Unidirectional solution: TLE
func ladderLength(_ beginWord: String, _ endWord: String, _ wordList: [String]) -> Int {
if !wordList.contains(endWord) { return 0 }
var wordSet = Set(wordList)
// var visited = Set<String>()
// [s: (length of shortest path from begin to s, prev string in shortest path)]
var path = [beginWord: (1, "")]
var queue = [beginWord]
while queue.count > 0 {
let word = queue.removeFirst()
// visited.insert(word)
wordSet.remove(word)
if endWord == word {
let (length, _) = path[word]!
return length
}
// build neighbors
var neighbors = [String]()
for i in 0..<word.count {
for letter in letters {
var w = Array(word)
if w[i] != letter {
w[i] = letter
if wordSet.contains(String(w)) {
neighbors.append(String(w))
}
}
}
}
for neighbor in neighbors {
queue.append(neighbor)
let (currLen, _) = path[word]!
if let (nextLen, _) = path[neighbor] {
if currLen + 1 < nextLen {
path[neighbor] = (currLen + 1, word)
}
} else {
path[neighbor] = (currLen + 1, word)
}
}
}
return 0
}
// Optimized solution:
// - Only build the neighbors for current word
// - Remove word from wordList once visited
// - Start search from both ends
func ladderLength(_ beginWord: String, _ endWord: String, _ wordList: [String]) -> Int {
var ws = Set(wordList)
if !ws.contains(endWord) { return 0 }
var endWords = [endWord, beginWord]
var wordSet = [ws, ws]
var visited = [Set<String>(), Set<String>()]
// [s: (length of shortest path from begin to s, prev string in shortest path)]
var path = [ [beginWord: (1, "")], [endWord: (1, "")] ]
var queue = [[beginWord], [endWord]]
while queue[0].count > 0 && queue[1].count > 0 {
for k in 0...1 {
let word = queue[k].removeFirst()
visited[k].insert(word)
wordSet[k].remove(word)
// one end reaches the other end
if endWords[k] == word {
let (length, _) = path[k][word]!
return length
}
// two ends intersects
if visited[(k + 1) % 2].contains(word) {
let (lengthFromOtherEnd, _) = path[(k + 1) % 2][word]!
let (lengthFromThisEnd, _) = path[k][word]!
return lengthFromThisEnd + lengthFromOtherEnd - 1
}
// build neighbors
var neighbors = [String]()
for i in 0..<word.count {
for letter in letters {
var w = Array(word)
if w[i] != letter {
w[i] = letter
if wordSet[k].contains(String(w)) {
neighbors.append(String(w))
}
}
}
}
for neighbor in neighbors {
queue[k].append(neighbor)
let (currLen, _) = path[k][word]!
if let (nextLen, _) = path[k][neighbor] {
if currLen + 1 < nextLen {
path[k][neighbor] = (currLen + 1, word)
}
} else {
path[k][neighbor] = (currLen + 1, word)
}
}
}
}
return 0
}