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Copy path(Leetcode) 208_Implement_Trie_(Prefix_Tree).cpp
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(Leetcode) 208_Implement_Trie_(Prefix_Tree).cpp
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/**
* 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
*
* 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);
*/
class Trie {
public:
struct TrieNode
{
TrieNode* child[26];
bool isEnd;
TrieNode()
{
isEnd = false;
for(int i = 0; i < 26; i++)
child[i] = NULL;
}
};
TrieNode* root;
Trie() {
root = new TrieNode();
}
void insert(string word) {
TrieNode* curr = root;
for(int i = 0; i < word.length(); i++)
{
int index = word[i] - 'a';
if(curr->child[index] == NULL)
curr->child[index] = new TrieNode();
curr = curr->child[index];
}
curr->isEnd = true;
}
bool search(string word) {
TrieNode* curr = root;
for(int i = 0; i < word.length(); i++)
{
int index = word[i] - 'a';
if(curr->child[index] == NULL)
return false;
curr = curr->child[index];
}
return curr->isEnd;
}
bool startsWith(string prefix) {
TrieNode* curr = root;
for(int i = 0; i < prefix.length(); i++)
{
int index = prefix[i] - 'a';
if(curr->child[index] == NULL)
return false;
curr = curr->child[index];
}
return true;
}
};