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101 lines (88 loc) · 2.55 KB
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//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。
//
// Related Topics 设计 字典树
// 👍 439 👎 0
package leetcode7;
public class ImplementTriePrefixTree {
public static void main(String[] args) {
}
//leetcode submit region begin(Prohibit modification and deletion)
class Trie {
Trie[] arr = new Trie[26];
boolean end;
/**
* Initialize your data structure here.
*/
public Trie() {
}
/**
* Inserts a word into the trie.
*/
public void insert(String word) {
if (word == null || word.length() == 0) {
return;
}
Trie trie = this;
for (int i = 0; i < word.length(); i++) {
int j = word.charAt(i) - 'a';
if (trie.arr[j] == null) {
trie.arr[j] = new Trie();
}
trie = trie.arr[j];
}
trie.end = true;
}
/**
* Returns if the word is in the trie.
*/
public boolean search(String word) {
Trie trie = searchPrefix(word);
return trie != null && trie.end;
}
/**
* Returns if there is any word in the trie that starts with the given prefix.
*/
public boolean startsWith(String prefix) {
return searchPrefix(prefix) != null;
}
private Trie searchPrefix(String prefix) {
if (prefix == null || prefix.length() == 0) {
return null;
}
Trie trie = this;
for (int i = 0; i < prefix.length(); i++) {
int j = prefix.charAt(i) - 'a';
trie = trie.arr[j];
if (trie == null) {
return null;
}
}
return trie;
}
}
/**
* 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);
*/
//leetcode submit region end(Prohibit modification and deletion)
}