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TrieR.java
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TrieR.java
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import java.util.TreeMap;
/// TrieR 是 Trie in Recursion的意思
/// TrieR将使用递归的方式,实现我们在这一章所讲解的Trie的基本功能
public class TrieR {
private class Node{
public boolean isWord;
public TreeMap<Character, Node> next;
public Node(boolean isWord){
this.isWord = isWord;
next = new TreeMap<>();
}
public Node(){
this(false);
}
}
private Node root;
private int size;
public TrieR(){
root = new Node();
size = 0;
}
// 获得Trie中存储的单词数量
public int getSize(){
return size;
}
// 向Trie中添加一个新的单词word
public void add(String word){
add(root, word, 0);
}
// 向以node为根的Trie中添加word[index...end), 递归算法
private void add(Node node, String word, int index){
if(index == word.length()){
if(!node.isWord){
node.isWord = true;
size ++;
}
return;
}
char c = word.charAt(index);
if(node.next.get(c) == null)
node.next.put(c, new Node());
add(node.next.get(c), word, index + 1);
}
// 查询单词word是否在Trie中
public boolean contains(String word){
return contains(root, word, 0);
}
// 在以node为根的Trie中查询单词word[index...end)是否存在, 递归算法
private boolean contains(Node node, String word, int index){
if(index == word.length())
return node.isWord;
char c = word.charAt(index);
if(node.next.get(c) == null)
return false;
return contains(node.next.get(c), word, index + 1);
}
// 查询是否在Trie中有单词以prefix为前缀
public boolean isPrefix(String prefix){
return isPrefix(root, prefix, 0);
}
// 查询在以Node为根的Trie中是否有单词以prefix[index...end)为前缀, 递归算法
private boolean isPrefix(Node node, String prefix, int index){
if(index == prefix.length())
return true;
char c = prefix.charAt(index);
if(node.next.get(c) == null)
return false;
return isPrefix(node.next.get(c), prefix, index + 1);
}
}