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LeetCode-208-Implement-Trie-Prefix-Tree.java
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90 lines (75 loc) · 2.45 KB
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// 1. Trie with a TrieNode
class Trie {
private TrieNode root;
private class TrieNode {
char ch;
HashMap<Character, TrieNode> children = new HashMap<>();
boolean isLeaf = false;
public TrieNode() {
}
public TrieNode(char ch) {
this.ch = ch;
}
}
/** Initialize your data structure here. */
public Trie() {
this.root = new TrieNode();
}
/** Inserts a word into the trie. */
public void insert(String word) {
TrieNode curr = root;
HashMap<Character, TrieNode> children = curr.children;
for (int i = 0; i < word.length(); i++) {
char ch = word.charAt(i);
if (children.containsKey(ch)) {
curr = children.get(ch);
children = curr.children;
} else {
TrieNode newNode = new TrieNode(ch);
children.put(ch, newNode);
curr = newNode;
children = curr.children;
}
if (i == word.length() - 1) {
curr.isLeaf = true;
}
}
}
/** Returns if the word is in the trie. */
public boolean search(String word) {
TrieNode curr = root;
HashMap<Character, TrieNode> children = curr.children;
for (int i = 0; i < word.length(); i++) {
char ch = word.charAt(i);
if (children.containsKey(ch)) {
curr = children.get(ch);
children = curr.children;
} else {
return false;
}
}
return curr.isLeaf;
}
/** Returns if there is any word in the trie that starts with the given prefix. */
public boolean startsWith(String prefix) {
TrieNode curr = root;
HashMap<Character, TrieNode> children = curr.children;
for (int i = 0; i < prefix.length(); i++) {
char ch = prefix.charAt(i);
if (children.containsKey(ch)) {
curr = children.get(ch);
children = curr.children;
} else {
return false;
}
}
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);
*/