208. Implement Trie (Prefix Tree)
Implement a trie withinsert
,search
, andstartsWith
methods.
Note:
You may assume that all inputs are consist of lowercase lettersa-z
.
/**
* First, create TrieNode class with two member variables.
* a TrieNode array to represent child nodes and
* a boolean variable to represent if current char is the end of a word.
* For insert, traverse each char in the word, check if the character is a child node of the current TrieNode.
* If not, create a new TrieNode to store current char.
* For search, traverse each character in the word, check if the char is a child node of the current TrieNode.
* If not, return false. After checking each char in the word, check if current TrieNode was marked as a word.
*/
class TrieNode {
public TrieNode[] children;
public boolean isWord;
public TrieNode() {
children = new TrieNode[26];
}
}
class Trie {
TrieNode root;
/** Initialize your data structure here. */
public Trie() {
root = new TrieNode();
}
/** Inserts a word into the trie. */
public void insert(String word) {
TrieNode cur = root;
for (int i = 0; i < word.length(); i++) {
char c = word.charAt(i);
if (cur.children[c - 'a'] == null) {
cur.children[c - 'a'] = new TrieNode();
}
cur = cur.children[c - 'a'];
}
cur.isWord = true;
}
/** Returns if the word is in the trie. */
public boolean search(String word) { //可以不减冗余,因为易懂
TrieNode cur = root;
for (int i = 0; i < word.length(); i++) {
char c = word.charAt(i);
if (cur.children[c - 'a'] == null) {
return false;
}
cur = cur.children[c - 'a'];
}
return cur.isWord;
}
/** Returns if there is any word in the trie that starts with the given prefix. */
public boolean startsWith(String prefix) {
TrieNode cur = root;
for (int i = 0; i < prefix.length(); i++) {
char c = prefix.charAt(i);
if (cur.children[c - 'a'] == null) {
return false;
}
cur = cur.children[c - 'a'];
}
return true;
}
}