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[LeetCode 208] Implement Trie (Prefix Tree)
Problem
A trie (pronounced as "try") or prefix tree is a tree data structure used to efficiently store and retrieve keys in a dataset of strings. There are various applications of this data structure, such as autocomplete and spellchecker.
Implement the Trie class:
Trie()Initializes the trie object.void insert(String word)Inserts the string word into the trie.boolean search(String word)Returnstrueif the string word is in the trie (i.e., was inserted before), andfalseotherwise.boolean startsWith(String prefix)Returnstrueif there is a previously inserted stringwordthat has the prefixprefix, andfalseotherwise.
Example 1:
Input
["Trie", "insert", "search", "search", "startsWith", "insert", "search"]
[[], ["apple"], ["apple"], ["app"], ["app"], ["app"], ["app"]]
Output
[null, null, true, false, true, null, true]
Explanation
Trie trie = new Trie();
trie.insert("apple");
trie.search("apple"); // return True
trie.search("app"); // return False
trie.startsWith("app"); // return True
trie.insert("app");
trie.search("app"); // return True
Constraints:
1 <= word.length, prefix.length <= 2000wordandprefixconsist only of lowercase English letters.- At most
3 * 10^4calls in total will be made toinsert,search, andstartsWith.
TypeScript
class TrieNode {
children: Map<string, TrieNode>;
isEnd: boolean;
constructor(){
this.children = new Map<string, TrieNode>()
this.isEnd = false;
}
}
class Trie {
root: TrieNode;
constructor() {
this.root = new TrieNode()
}
insert(word: string): void {
let cur: TrieNode = this.root;
for(let c of word){
if(!cur.children.has(c)) cur.children.set(c, new TrieNode())
cur = cur.children.get(c)
}
cur.isEnd = true;
}
search(word: string): boolean {
let cur: TrieNode = this.root;
for(let c of word){
if(!cur.children.has(c)) return false;
cur = cur.children.get(c)
}
return cur.isEnd;
}
startsWith(prefix: string): boolean {
let cur: TrieNode = this.root;
for(let c of prefix){
if(!cur.children.has(c)) return false;
cur = cur.children.get(c)
}
return true;
}
}