Implement Trie (Prefix Tree)
Problem
Implement a trie with insert
, search
, and startsWith
methods.
Note:
You may assume that all inputs are consist of lowercase letters a-z
.
Solution
class Trie {
private class TrieNode {
TrieNode[] children;
boolean endOfWord;
public TrieNode() {
this.children = new TrieNode[26];
this.endOfWord = false;
}
}
private TrieNode root;
/** Initialize your data structure here. */
public Trie() {
this.root = new TrieNode();
}
/** Inserts a word into the trie. */
public void insert(String word) {
TrieNode cur = root;
for (char ch : word.toCharArray()) {
if (cur.children[ch - 'a'] == null) cur.children[ch - 'a'] = new TrieNode();
cur = cur.children[ch - 'a'];
}
cur.endOfWord = true;
}
/** Returns if the word is in the trie. */
public boolean search(String word) {
TrieNode cur = root;
for (char ch : word.toCharArray()) {
if (cur.children[ch - 'a'] == null) return false;
cur = cur.children[ch - 'a'];
}
return cur.endOfWord;
}
/** Returns if there is any word in the trie that starts with the given prefix. */
public boolean startsWith(String prefix) {
TrieNode cur = root;
for (char ch : prefix.toCharArray()) {
if (cur.children[ch - 'a'] == null) return false;
cur = cur.children[ch - 'a'];
}
return true;
}
}
/**
* Your Trie object will be instantiated and called as such:
* Trie obj = new Trie();
* obj.insert(word);
* boolean param_2 = obj.search(word);
* boolean param_3 = obj.startsWith(prefix);
*/
Analysis
This is the basic implementation of Trie
data structure
Generally, every Trie
object has a Map<Character, Trie>
as children and endOfWord
to indicate if it's a word
Each letter from a word is connected by the map
In this problem, since we only have 26
letters at most, we use Trie[]
to replace the mapchildren[ch - 'a'] <=> map.get(ch)