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ImplementTriePrefixTree_208.java
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81 lines (71 loc) · 2.15 KB
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Implement Trie (Prefix Tree)
/**
* - Node does not contain character, edge does
* - Every node have a list of child nodes, and needs to be found quickly
* so use hashmap
* - How to express the end of a word, a special end character is needed,
* or hashmap allows null key and null value, we can use null pair instead
*/
class TrieNode {
// Initialize your data structure here.
Map<Character, TrieNode> chlists;
public TrieNode() {
chlists = new HashMap<>();
}
public boolean containsChild(Character c) {
return chlists.containsKey(c);
}
public TrieNode getChild(Character c) {
if (!chlists.containsKey(c))
chlists.put(c, new TrieNode());
return chlists.get(c);
}
public void putEnd() {
chlists.put(null, null);
}
}
public class Trie {
private TrieNode root;
public Trie() {
root = new TrieNode();
}
// Inserts a word into the trie.
public void insert(String word) {
int length = word.length();
TrieNode curr = root;
for(int i=0; i<length; i++) {
char c = word.charAt(i);
curr = curr.getChild(c);
}
curr.putEnd();
}
// Returns if the word is in the trie.
public boolean search(String word) {
int length = word.length();
TrieNode curr = root;
for(int i=0; i<length; i++) {
char c = word.charAt(i);
if (!curr.containsChild(c))
return false;
curr = curr.getChild(c);
}
return curr.containsChild(null);
}
// Returns if there is any word in the trie
// that starts with the given prefix.
public boolean startsWith(String prefix) {
int length = prefix.length();
TrieNode curr = root;
for(int i=0; i<length; i++) {
char c = prefix.charAt(i);
if (!curr.containsChild(c))
return false;
curr = curr.getChild(c);
}
return true;
}
}
// Your Trie object will be instantiated and called as such:
// Trie trie = new Trie();
// trie.insert("somestring");
// trie.search("key");