# 0208. Implement Trie (solutions/Prefix Tree)

<https://leetcode.com/problems/implement-trie-prefix-tree>

## Description

A [**trie**](https://en.wikipedia.org/wiki/Trie) (pronounced as "try") or **prefix tree** is a tree data structure used to efficiently store and retrieve keys in a dataset of strings. There are various applications of this data structure, such as autocomplete and spellchecker.

Implement the Trie class:

* `Trie()` Initializes the trie object.
* `void insert(String word)` Inserts the string `word` into the trie.
* `boolean search(String word)` Returns `true` if the string `word` is in the trie (i.e., was inserted before), and `false` otherwise.
* `boolean startsWith(String prefix)` Returns `true` if there is a previously inserted string `word` that has the prefix `prefix`, and `false` otherwise.

**Example 1:**

```
**Input**
["Trie", "insert", "search", "search", "startsWith", "insert", "search"]
[[], ["apple"], ["apple"], ["app"], ["app"], ["app"], ["app"]]
**Output**
[null, null, true, false, true, null, true]
**Explanation**
Trie trie = new Trie();
trie.insert("apple");
trie.search("apple");   // return True
trie.search("app");     // return False
trie.startsWith("app"); // return True
trie.insert("app");
trie.search("app");     // return True
```

**Constraints:**

* `1 <= word.length, prefix.length <= 2000`
* `word` and `prefix` consist only of lowercase English letters.
* At most `3 * 104` calls **in total** will be made to `insert`, `search`, and `startsWith`.

## ac

```java
class Trie {
    private TrieNode root;
    /** Initialize your data structure here. */
    public Trie() {
        root = new TrieNode();
    }

    /** Inserts a word into the trie. */
    public void insert(String word) {
        root.insert(word, 0);
    }

    /** Returns if the word is in the trie. */
    public boolean search(String word) {
        TrieNode node = root.find(word, 0);
        return node != null && node.hasWord;
    }

    /** Returns if there is any word in the trie that starts with the given prefix. */
    public boolean startsWith(String prefix) {
        TrieNode node = root.find(prefix, 0);
        return node != null;
    }
}

class TrieNode {
    private TrieNode[] children;
    public boolean hasWord;

    public TrieNode() {
        children = new TrieNode[26];
        hasWord = false;
    }

    public void insert(String word, int index) {
        if (index == word.length()) {
            this.hasWord = true;
            return;
        }

        int pos = word.charAt(index) - 'a';
        if (children[pos] == null) {
            children[pos] = new TrieNode();
        }
        children[pos].insert(word, index + 1);
    }

    public TrieNode find(String word, int index) {
        if (index == word.length()) return this;

        int pos = word.charAt(index) - 'a';
        if (children[pos] == null) return null;

        return children[pos].find(word, index + 1);
    }
}

/**
 * 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);
 */
```

more intuitive:

```java
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 r = root;
        for (int i = 0; i < word.length(); i++) {
            int pos = word.charAt(i) - 'a';
            if (r.next[pos] == null) r.next[pos] = new TrieNode();
            r = r.next[pos];
        }
        r.isWord = true;
    }

    /** Returns if the word is in the trie. */
    public boolean search(String word) {
        TrieNode r = root;
        for (int i = 0; i < word.length(); i++) {
            int pos = word.charAt(i) - 'a';
            if (r.next[pos] == null) return false;
            r = r.next[pos];
        }
        return r.isWord;
    }

    /** Returns if there is any word in the trie that starts with the given prefix. */
    public boolean startsWith(String prefix) {
        TrieNode r = root;
        for (int i = 0; i < prefix.length(); i++) {
            int pos = prefix.charAt(i) - 'a';
            if (r.next[pos] == null) return false;
            r = r.next[pos];
        }

        // prefix is word
        if (r.isWord) return true;

        // iterate next[]
        for (TrieNode t : r.next) {
            if (t != null) return true;
        }

        return false;
    }
}

class TrieNode {
    TrieNode[] next;
    boolean isWord;
    public TrieNode() {
        next = new TrieNode[26];
    }
}

/**
 * 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);
 */
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://jaywin.gitbook.io/leetcode/solutions/0208-implement-trie-prefix-tree.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
