Wednesday, May 13, 2015

LeetCode [208] Implement Trie (Prefix Tree)

 208. Implement Trie (Prefix Tree)

Medium

Trie (we pronounce "try") or prefix tree is a tree data structure used to retrieve a key in a strings dataset. There are various applications of this very efficient data structure, such as autocomplete and spellchecker.

Implement the Trie class:

  • Trie() initializes the trie object.
  • void insert(String word) inserts the string word to 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 of lowercase English letters.
  • At most 3 * 104 calls will be made to insertsearch, and startsWith.

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class Trie {
    class TrieNode{
        boolean isEnd;
        TrieNode[] children;
        TrieNode(){
            isEnd = false;
            children = new TrieNode[26];
        }
    }
    TrieNode root;

    /** Initialize your data structure here. */
    public Trie() {
        root = new TrieNode();
    }
    
    /** Inserts a word into the trie. */
    public void insert(String word) {
        TrieNode p = root;
        for(char c : word.toCharArray()){
            if(p.children[c-'a']==null){
                p.children[c-'a'] = new TrieNode();
            }
            p = p.children[c-'a'] ;
        }
        p.isEnd = true;
    }
    
    /** Returns if the word is in the trie. */
    public boolean search(String word) {
        TrieNode p = root;
        for(char c : word.toCharArray()){
            if(p.children[c-'a']==null){
                return false;
            }
            p = p.children[c-'a'] ;
        }
        return p.isEnd == true;
    }
    
    /** Returns if there is any word in the trie that starts with the given prefix. */
    public boolean startsWith(String prefix) {
        TrieNode p = root;
        for(char c : prefix.toCharArray()){
            if(p.children[c-'a']==null){
                return false;
            }
            p = p.children[c-'a'] ;
        }
        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);
 */

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