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208.实现-trie-前缀树.go
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208.实现-trie-前缀树.go
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// package leetcode
/*
* @lc app=leetcode.cn id=208 lang=golang
*
* [208] 实现 Trie (前缀树)
*
* https://leetcode-cn.com/problems/implement-trie-prefix-tree/description/
*
* algorithms
* Medium (61.14%)
* Likes: 129
* Dislikes: 0
* Total Accepted: 13.4K
* Total Submissions: 21.8K
* Testcase Example: '["Trie","insert","search","search","startsWith","insert","search"]\n[[],["apple"],["apple"],["app"],["app"],["app"],["app"]]'
*
* 实现一个 Trie (前缀树),包含 insert, search, 和 startsWith 这三个操作。
*
* 示例:
*
* Trie trie = new Trie();
*
* trie.insert("apple");
* trie.search("apple"); // 返回 true
* trie.search("app"); // 返回 false
* trie.startsWith("app"); // 返回 true
* trie.insert("app");
* trie.search("app"); // 返回 true
*
* 说明:
*
*
* 你可以假设所有的输入都是由小写字母 a-z 构成的。
* 保证所有输入均为非空字符串。
*
*
*/
// @lc code=start
type Node struct {
Child map[rune]*Node
Value bool
}
type Trie struct {
Root *Node
}
/** Initialize your data structure here. */
func Constructor() Trie {
return Trie{
Root: &Node{
Child: map[rune]*Node{},
},
}
}
/** Inserts a word into the trie. */
func (this *Trie) Insert(word string) {
cur := this.Root
for _, c := range word {
if _, ok := cur.Child[c]; !ok {
cur.Child[c] = &Node{
Child: map[rune]*Node{},
}
}
cur = cur.Child[c]
}
cur.Value = true
}
/** Returns if the word is in the trie. */
func (this *Trie) Search(word string) bool {
cur := this.Root
for _, c := range word {
if _, ok := cur.Child[c]; !ok {
return false
}
cur = cur.Child[c]
}
return cur.Value
}
/** Returns if there is any word in the trie that starts with the given prefix. */
func (this *Trie) StartsWith(prefix string) bool {
cur := this.Root
for _, c := range prefix {
if _, ok := cur.Child[c]; !ok {
return false
}
cur = cur.Child[c]
}
return true
}
/**
* Your Trie object will be instantiated and called as such:
* obj := Constructor();
* obj.Insert(word);
* param_2 := obj.Search(word);
* param_3 := obj.StartsWith(prefix);
*/
// @lc code=end