Implement Trie (Prefix Tree)(Medium)
Implement a trie with insert, search, and startsWith methods.
Trie树,又称为字典树,单词查找树或前缀树,是一种用于快速检索的多叉树结构。 比如英文字母的字典树是一个26叉树,数字的字典树是一个10叉树。
Trie树可以利用字符串的公共前缀来节约存储空间,这也是为什么它被叫前缀树。
lass TrieNode {
char c;
HashMap<Character, TrieNode> children = new HashMap<Character, TrieNode>();
boolean isLeaf;
public TrieNode() {}
public TrieNode(char c){
this.c = c;
}
}
public class Trie {
private TrieNode root;
public Trie() {
root = new TrieNode();
}
// Inserts a word into the trie.
public void insert(String word) {
HashMap<Character, TrieNode> children = root.children;
for(int i=0; i<word.length(); i++){
char c = word.charAt(i);
TrieNode t;
if(children.containsKey(c)){
t = children.get(c);
}else{
t = new TrieNode(c);
children.put(c, t);
}
//set leaf node
if(i==word.length()-1)
t.isLeaf = true;
children = t.children;
}
}
// Returns if the word is in the trie.
public boolean search(String word) {
TrieNode t = searchNode(word);
if(t != null && t.isLeaf)
return true;
else
return false;
}
// Returns if there is any word in the trie
// that starts with the given prefix.
public boolean startsWith(String prefix) {
if(searchNode(prefix) == null)
return false;
else
return true;
}
public TrieNode searchNode(String str){
Map<Character, TrieNode> children = root.children;
TrieNode t = null;
for(int i=0; i<str.length(); i++){
char c = str.charAt(i);
if(children.containsKey(c)){
t = children.get(c);
children = t.children;
}else{
return null;
}
}
return t;
}
}