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★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★ Trie树,字典树是一种树形结构,是一种哈希树的变种。典型应用是用于统计,排序和保存大量的字符串(但不仅限于字符串),所以经常被搜索引擎系统用于文本词频统计。它的优点是:利用字符串的公共前缀来减少查询时间,最大限度地减少无谓的字符串比较,查询效率比哈希树高。 例如我们往字典树中插入see、pain、paint三个单词,Trie字典树如下所示: 参见:[Swift]LeetCode208. 实现 Trie (前缀树) | Implement Trie (Prefix Tree) 1 class Node { 2 var wordEnd = false 3 var next : [Character : Node] = [:] 4 } 5 6 class Trie { 7 let root = Node() 8 /** Initialize your data structure here. */ 9 init() { 10 11 } 12 13 /** Inserts a word into the trie. */ 14 func insert(_ word: String) { 15 var currentNode = root 16 for c in word { 17 if let nextNode = currentNode.next[c] { 18 currentNode = nextNode 19 } else { 20 let nextNode = Node() 21 currentNode.next[c] = nextNode 22 currentNode = nextNode 23 } 24 } 25 currentNode.wordEnd = true 26 } 27 28 /** Returns if the word is in the trie. */ 29 func search(_ word: String) -> Bool { 30 var currentNode = root 31 for c in word { 32 if let node = currentNode.next[c] { 33 currentNode = node 34 } else { 35 return false 36 } 37 } 38 return currentNode.wordEnd 39 } 40 41 /** Returns if there is any word in the trie that starts with the given prefix. */ 42 func startsWith(_ prefix: String) -> Bool { 43 var currentNode = root 44 for c in prefix { 45 if let node = currentNode.next[c] { 46 currentNode = node 47 } else { 48 return false 49 } 50 } 51 return true 52 } 53 } 54 55 /** 56 * Your Trie object will be instantiated and called as such: 57 * let obj = Trie() 58 * obj.insert(word) 59 * let ret_2: Bool = obj.search(word) 60 * let ret_3: Bool = obj.startsWith(prefix) 61 */
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