Implement Trie (Prefix Tree)
Implement a trie withinsert
,search
, andstartsWith
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.
Solution
class Trie {
static class TrieNode {
char value;
boolean isWord;
Map<Character, TrieNode> children = new HashMap<>();
TrieNode(char value) {
this.value = value;
}
public String toString() {
StringBuilder sb = new StringBuilder();
Queue<TrieNode> queue = new LinkedList<>();
queue.offer(this);
while (!queue.isEmpty()) {
int size = queue.size();
for (int i = 0; i < size; i++) {
TrieNode node = queue.poll();
sb.append(node.value);
for (Map.Entry<Character, TrieNode> child : node.children.entrySet()) {
queue.offer(child.getValue());
}
}
}
return sb.toString();
}
}
private TrieNode root;
/** Initialize your data structure here. */
public Trie() {
root = new TrieNode(' ');
}
/** Inserts a word into the trie. */
public void insert(String word) {
TrieNode current = root;
TrieNode last = null;
int index = 0;
while (index < word.length()) {
char c = word.charAt(index);
if (current.children.containsKey(c)) {
current = current.children.get(c);
} else {
last = new TrieNode(c);
current.children.put(c, last);
current = last;
}
index++;
}
if (current != null) {
current.isWord = true;
}
//System.out.println(root);
}
/** Returns if the word is in the trie. */
public boolean search(String word) {
TrieNode current = root;
int index = 0;
while (index < word.length()) {
char c = word.charAt(index);
if (current.children.containsKey(c)) {
current = current.children.get(c);
} else {
return false;
}
index++;
}
return current.isWord;
}
/** Returns if there is any word in the trie that starts with the given prefix. */
public boolean startsWith(String prefix) {
TrieNode current = root;
int index = 0;
while (index < prefix.length()) {
char c = prefix.charAt(index);
if (current.children.containsKey(c)) {
current = current.children.get(c);
} else {
return false;
}
index++;
}
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);
*/
Another implementation.
class Trie {
class TrieNode {
public boolean isWord;
public Map<Character, TrieNode> childrenMap = new HashMap<>();
}
private TrieNode root;
/** Initialize your data structure here. */
public Trie() {
root = new TrieNode();
}
/** Inserts a word into the trie. */
public void insert(String word) {
TrieNode cur = root;
for(int i = 0; i < word.length(); i++){
char c = word.charAt(i);
if(cur.childrenMap.get(c) == null){
// insert a new node if the path does not exist
cur.childrenMap.put(c, new TrieNode());
}
cur = cur.childrenMap.get(c);
}
cur.isWord = true;
}
/** Returns if the word is in the trie. */
public boolean search(String word) {
TrieNode cur = root;
for(int i = 0; i < word.length(); i++) {
char c = word.charAt(i);
if(cur.childrenMap.get(c) == null) {
return false;
}
cur = cur.childrenMap.get(c);
}
return cur.isWord;
}
/** Returns if there is any word in the trie that starts with the given prefix. */
public boolean startsWith(String prefix) {
TrieNode cur = root;
for(int i = 0;i < prefix.length(); i++){
char c = prefix.charAt(i);
if(cur.childrenMap.get(c) == null) {
return false;
}
cur = cur.childrenMap.get(c);
}
return true;
}
}
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