题目:
实现一个 Trie (前缀树),包含 insert, search, 和 startsWith 这三个操作。
示例 1:
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。
代码1:
class Trie {
private TrieNode root;
/** Initialize your data structure here. */
public Trie() {
root = new TrieNode();
root.val = ' ';
}
/** Inserts a word into the trie. */
public void insert(String word) {
TrieNode ws = root;
for (int i = 0; i < word.length(); i++) {
char c = word.charAt(i);
if (ws.children[c - 'a'] == null) {
ws.children[c - 'a'] = new TrieNode(c);
}
ws = ws.children[c - 'a'];
}
ws.isWord = true;
}
/** Returns if the word is in the trie. */
public boolean search(String word) {
TrieNode ws = root;
for (int i = 0; i < word.length(); i++) {
char c = word.charAt(i);
if (ws.children[c - 'a'] == null) return false;
ws = ws.children[c - 'a'];
}
return ws.isWord;
}
/** Returns if there is any word in the trie that starts with the given prefix. */
public boolean startsWith(String prefix) {
TrieNode ws = root;
for (int i = 0; i < prefix.length(); i++) {
char c = prefix.charAt(i);
if (ws.children[c - 'a'] == null) return false;
ws = ws.children[c - 'a'];
}
return true;
}
}
class TrieNode {
public char val;
public boolean isWord;
public TrieNode[] children = new TrieNode[26];
public TrieNode() {}
public TrieNode(char c) {
TrieNode node = new TrieNode();
node.val = c;
}
}
/**
* 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);
*/