
g0201_0300.s0208_implement_trie_prefix_tree.Trie.cs Maven / Gradle / Ivy
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104 LeetCode algorithm problem solutions
namespace LeetCodeNet.G0201_0300.S0208_implement_trie_prefix_tree {
// #Medium #Top_100_Liked_Questions #Top_Interview_Questions #String #Hash_Table #Design #Trie
// #Level_2_Day_16_Design #Udemy_Trie_and_Heap
// #Big_O_Time_O(word.length())_or_O(prefix.length())_Space_O(N)
// #2024_01_10_Time_178_ms_(88.12%)_Space_133.5_MB_(9.47%)
public class Trie {
private TrieNode root;
private bool startWith;
private class TrieNode {
// Initialize your data structure here.
public TrieNode[] children;
public bool isWord;
public TrieNode() {
children = new TrieNode[26];
}
}
public Trie() {
root = new TrieNode();
}
// Inserts a word into the trie.
public void Insert(string word) {
Insert(word, root, 0);
}
private void Insert(string word, TrieNode root, int idx) {
if (idx == word.Length) {
root.isWord = true;
return;
}
int index = word[idx] - 'a';
if (root.children[index] == null) {
root.children[index] = new TrieNode();
}
Insert(word, root.children[index], idx + 1);
}
// Returns if the word is in the trie.
public bool Search(string word) {
return Search(word, root, 0);
}
private bool Search(string word, TrieNode root, int idx) {
if (idx == word.Length) {
startWith = true;
return root.isWord;
}
int index = word[idx] - 'a';
if (root.children[index] == null) {
startWith = false;
return false;
}
return Search(word, root.children[index], idx + 1);
}
// Returns if there is any word in the trie
// that starts with the given prefix.
public bool StartsWith(string prefix) {
Search(prefix);
return startWith;
}
}
/**
* 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);
*/
}
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