Java Trie字典树,前缀树
Trie查询每个条目的时间复杂度,和字典中一共有多少条无关。
时间复杂度为O(W)
w为查询单词的长度

import java.util.TreeMap;
public class Trie {
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 Trie() {
root = new Node();
size = 0;
}
// 返回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) {
Node cur = root;
for (int i = 0; i < word.length(); i++) {
char c = word.charAt(i);
if (cur.next.get(c) == null)
cur.next.put(c, new Node());
cur = cur.next.get(c);
}
if (!cur.isWord) {
cur.isWord = true;
size++;
}
}
//查询单词word是否在Trie中
public boolean contains(String word){
Node cur=root;
for (int i = 0; i < word.length(); i++) {
char c=word.charAt(i);
if(cur.next.get(c)==null)
return false;
cur=cur.next.get(c);
}
return cur.isWord;
}
//查询是否在Trie中有单词以prefix为前缀
public boolean isPrefix(String prefix) {
Node cur=root;
for (int i = 0; i < prefix.length(); i++) {
char c=prefix.charAt(i);
if(cur.next.get(c)==null)
return false;
cur=cur.next.get(c);
}
return true;
}
}
测试:
public class Main {
public static void Main(String[] args){
System.out.println("Pride and Prejudice");
ArrayList<String> words=new ArrayList<>();
if(FileOperation.readFile("pride-and-prejudice.txt", words)){
long startTime = System.nanoTime();
BSTSet<String> set=new BSTSet<String>();
for(String word:words)
set.add(word);
for(String word:words)
set.contains(word);
long endTime = System.nanoTime();
double time = (endTime - startTime) / 1000000000.0;
System.out.println("Total different words: " + set.getSize());
System.out.println("BSTSet: " + time + " s");
startTime = System.nanoTime();
Trie trie = new Trie();
for(String word: words)
trie.add(word);
for(String word: words)
trie.contains(word);
endTime = System.nanoTime();
time = (endTime - startTime) / 1000000000.0;
System.out.println("Total different words: " + trie.getSize());
System.out.println("Trie: " + time + " s");
}
}
}
search可以搜索文字或正则表达式字符串,字符串只包含字母.或者a-z.
import java.util.TreeMap;
public class WordDictionary {
public class Node{
private boolean isWord;
public TreeMap<Character, Node> next;
public Node(boolean isWord){
this.isWord=isWord;
next=new TreeMap<>();
}
public Node() {
this(false);
}
}
private Node root;
public WordDictionary(){
root =new Node();
}
public void addWord(String word) {
Node cur = root;
for (int i = 0; i < word.length(); i++) {
char c = word.charAt(i);
if (cur.next.get(c) == null)
cur.next.put(c, new Node());
cur = cur.next.get(c);
}
cur.isWord = true;
}
public boolean search(String word){
return match(root, word, 0);
}
private boolean match(Node node,String word,int index) {
if(index==word.length())
return node.isWord;
char c=word.charAt(index);
if(c!='.'){
if(node.next.get(c)==null)
return false;
return match(node.next.get(c), word, index+1);
}else{
for (char nextChar :node.next.keySet()) {
if(match(node.next.get(nextChar), word, index+1))
return true;
}
return false;
}
}
}
Trie和映射
import java.util.TreeMap;
public class MapSum {
private class Node{
public boolean isWord;
public int value;
public TreeMap<Character, Node> next;
public Node(int value){
this.value=value;
next=new TreeMap<>();
}
public Node(){this(0);}
}
private Node root;
public MapSum() {
root=new Node();
}
public void insert(String word,int val){
Node cur=root;
for (int i = 0; i < word.length(); i++) {
char c=word.charAt(i);
if(cur.next.get(c)==null)
cur.next.put(c,new Node());
cur=cur.next.get(c);
}
cur.value=val;
}
public int sum(String prefix){
Node cur=root;
for (int i = 0; i < prefix.length(); i++) {
char c=prefix.charAt(i);
if(cur.next.get(c)==null)
return 0;
cur=cur.next.get(c);
}
return sum(cur);
}
private int sum(Node node){
if(node.next.size()==0)
return node.value;
int res=node.value;
for (char c:node.next.keySet())
res+=sum(node.next.get(c));
return res;
}
}
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