**Trie**(发音类似 “try”)或者说 前缀树 是一种树形数据结构,用于高效地存储和检索字符串数据集中的键。这一数据结构有相当多的应用情景,例如自动补完和拼写检查。
请你实现 Trie 类:
Trie()
初始化前缀树对象。void insert(String word)
向前缀树中插入字符串word
。boolean search(String word)
如果字符串word
在前缀树中,返回true
(即,在检索之前已经插入);否则,返回false
。boolean startsWith(String prefix)
如果之前已经插入的字符串word
的前缀之一为prefix
,返回true
;否则,返回false
。
示例:
输入
inputs = ["Trie", "insert", "search", "search", "startsWith", "insert", "search"]
inputs = [[], ["apple"], ["apple"], ["app"], ["app"], ["app"], ["app"]]
输出
[null, null, true, false, true, null, true]
解释
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
提示:
1 <= word.length, prefix.length <= 2000
word
和prefix
仅由小写英文字母组成insert
、search
和startsWith
调用次数 总计 不超过3 * 104
次
//leetcode submit region begin(Prohibit modification and deletion)
class Trie {
private Trie[] leaf;
public boolean isEnd;
/** Initialize your data structure here. */
public Trie() {
this.leaf = new Trie[26];
this.isEnd = false;
}
/** Inserts a word into the trie. */
public void insert(String word) {
if (word != null) {
Trie trie = this;
for (char ch : word.toCharArray()) {
if (trie.leaf[ch - 'a'] == null) {
trie.leaf[ch - 'a'] = new Trie();
}
trie = trie.leaf[ch - 'a'];
}
trie.isEnd = true;
}
}
/** Returns if the word is in the trie. */
public boolean search(String word) {
if (word == null) {
return true;
}
Trie trie = this;
for (char ch : word.toCharArray()) {
if (trie.leaf[ch - 'a'] == null) {
return false;
}
trie = trie.leaf[ch - 'a'];
}
return trie.isEnd;
}
/** Returns if there is any word in the trie that starts with the given prefix. */
public boolean startsWith(String prefix) {
if (prefix == null) {
return true;
}
Trie trie = this;
for (char ch : prefix.toCharArray()) {
Trie nextTrie = trie.leaf[ch - 'a'];
if (nextTrie == null) {
return false;
}
trie = nextTrie;
}
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);
*/
//leetcode submit region end(Prohibit modification and deletion)