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ImplementTriePrefixTree.java
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88 lines (84 loc) · 2.3 KB
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package medium;
/**
* ClassName: ImplementTriePrefixTree.java
* Auther: chenyiAlone
* Create Time: 2019/5/7 17:48
* Description: No.208
* 思路:
* 1. 构造单词树的节点
* Node {
* Node[] kids; // size = 26;
* boolean isWord;
* public Node() {
* kids = new Node[26];
* }
* }
* 2. root 根节点相当于 guard
*
*
*
* Implement a trie with insert, search, and startsWith methods.
*
* Example:
*
* Trie trie = new Trie();
*
* trie.insert("apple");
* trie.search("apple"); // returns true
* trie.search("app"); // returns false
* trie.startsWith("app"); // returns true
* trie.insert("app");
* trie.search("app"); // returns true
* Note:
*
* You may assume that all inputs are consist of lowercase letters a-z.
* All inputs are guaranteed to be non-empty strings.
*
*/
public class ImplementTriePrefixTree {
private class Node {
Node[] kids;
boolean isWord;
private Node() {
kids = new Node[26];
}
}
private Node root;
/** Initialize your data structure here. */
public ImplementTriePrefixTree() {
root = new Node();
}
/** Inserts a word into the trie. */
public void insert(String word) {
Node iter = root;
for (int i = 0; i < word.length(); i++) {
int c = word.charAt(i) - 'a';
if (iter.kids[c] == null)
iter.kids[c] = new Node();
iter = iter.kids[c];
}
iter.isWord = true;
}
/** Returns if the word is in the trie. */
public boolean search(String word) {
Node iter = root;
for (char i : word.toCharArray()) {
int c = i - 'a';
if (iter.kids[c] == null)
return false;
iter = iter.kids[c];
}
return iter.isWord;
}
/** Returns if there is any word in the trie that starts with the given prefix. */
public boolean startsWith(String prefix) {
Node iter = root;
for (int i = 0; i < prefix.length(); i++) {
int c = prefix.charAt(i) - 'a';
if (iter.kids[c] == null)
return false;
iter = iter.kids[c];
}
return true;
}
}