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208.Trie.cs
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// 208. Implement Trie (Prefix Tree)
// A trie (pronounced as "try") or prefix tree is a tree data structure used to efficiently store and retrieve keys in a dataset of strings. There are various applications of this data structure, such as autocomplete and spellchecker.
// Implement the Trie class:
// Trie() Initializes the trie object.
// void insert(String word) Inserts the string word into the trie.
// boolean search(String word) Returns true if the string word is in the trie (i.e., was inserted before), and false otherwise.
// boolean startsWith(String prefix) Returns true if there is a previously inserted string word that has the prefix prefix, and false otherwise.
// Example 1:
// Input
// ["Trie", "insert", "search", "search", "startsWith", "insert", "search"]
// [[], ["apple"], ["apple"], ["app"], ["app"], ["app"], ["app"]]
// Output
// [null, null, true, false, true, null, true]
// Explanation
// Trie trie = new Trie();
// trie.insert("apple");
// trie.search("apple"); // return True
// trie.search("app"); // return False
// trie.startsWith("app"); // return True
// trie.insert("app");
// trie.search("app"); // return True
// Constraints:
// 1 <= word.length, prefix.length <= 2000
// word and prefix consist only of lowercase English letters.
// At most 3 * 104 calls in total will be made to insert, search, and startsWith.
//cleaner as per question
public class Trie {
Trie[] child;
bool isEnd;
public Trie() {
child = new Trie[26];
isEnd = false;
}
public void Insert(string word) {
Trie node = this;
foreach(char ch in word){
if(node.child[ch - 'a'] == null){
node.child[ch - 'a'] = new Trie();
}
node = node.child[ch - 'a'];
}
node.isEnd = true;
}
public bool Search(string word) {
Trie node = this;
foreach(char ch in word){
if(node.child[ch - 'a'] == null)
return false;
else
node = node.child[ch -'a'];
}
return node.isEnd ;
}
public bool StartsWith(string prefix) {
Trie node = this;
foreach(char ch in prefix){
if(node.child[ch - 'a'] == null)
return false;
else
node = node.child[ch -'a'];
}
return true ;
}
}
//standard
public class Trie {
//Time complexity: O(n) where n is the length of the word
//Space complexity: O(1)
// Initialize the root node
TrieNode root;
public Trie() {
root = new TrieNode();
}
// TrieNode class
public class TrieNode() {
// Array of TrieNode links for each character in the alphabet
public TrieNode[] link = new TrieNode[26];
// Boolean to check if the node is the end of a word
public bool isEnd = false;
// Check if the node contains a link for the character
public bool containsLink(char ch){
return link[ch - 'a'] != null;
}
// Add a link for the character
public void addLink(char ch){
link[ch - 'a'] = new TrieNode();
}
// Check if the node is the end of a word
public bool isWordEnd(){
return isEnd;
}
// Set the node as the end of a word
public void setWordEnd(){
isEnd = true;
}
}
public void Insert(string word) {
// Start from the root node
TrieNode node = root;
foreach(char ch in word){
// If the node does not contain a link for the character, add a link
if(!node.containsLink(ch))
node.addLink(ch);
// Move to the next node
node = node.link[ch - 'a'];
}
// Set the last node as the end of a word
node.setWordEnd();
}
public bool Search(string word) {
TrieNode node = root;
// Traverse the trie to find the word
foreach(char ch in word){
// If the node does not contain a link for the character, return false
if(!node.containsLink(ch))
return false;
node = node.link[ch - 'a'];
}
// Return true if the last node is the end of a word
return node.isWordEnd();
}
public bool StartsWith(string prefix) {
TrieNode node = root;
// Traverse the trie to find the prefix
foreach(char ch in prefix){
// If the node does not contain a link for the character, return false
if(!node.containsLink(ch))
return false;
node = node.link[ch - 'a'];
}
// Return true if the prefix is found
return true;
}
}
/**
* Your Trie object will be instantiated and called as such:
* Trie obj = new Trie();
* obj.Insert(word);
* bool param_2 = obj.Search(word);
* bool param_3 = obj.StartsWith(prefix);
*/