Implement Trie (Prefix Tree)

Implement a trie with insertsearch, and startsWith methods.

Note:
You may assume that all inputs are consist of lowercase letters a-z.

一个字母代表一个子树,因此为26叉树,end标记表示是否存在以该字母为结尾的字符串。

class TrieNode {
public:
TrieNode* children[];
bool end;
// Initialize your data structure here.
TrieNode() {
for(int i = ; i < ; i ++)
children[i] = NULL;
end = false;
}
}; class Trie {
public:
Trie() {
root = new TrieNode();
} // Inserts a word into the trie.
void insert(string word) {
int i = ;
TrieNode* curNode = root;
while(i < word.size() && curNode->children[word[i]-'a'] != NULL)
{
curNode = curNode->children[word[i]-'a'];
i ++;
}
if(i == word.size())
{
if(curNode->end == true)
// exist
return;
else
// insert
curNode->end = true;
}
else
{
while(i < word.size())
{
curNode->children[word[i]-'a'] = new TrieNode();
curNode = curNode->children[word[i]-'a'];
i ++;
}
curNode->end = true;
}
} // Returns if the word is in the trie.
bool search(string word) {
int i = ;
TrieNode* curNode = root;
while(i < word.size() && curNode->children[word[i]-'a'] != NULL)
{
curNode = curNode->children[word[i]-'a'];
i ++;
}
if(i == word.size() && curNode->end == true)
// curNode must be leaf
return true;
else
return false;
} // Returns if there is any word in the trie
// that starts with the given prefix.
bool startsWith(string prefix) {
int i = ;
TrieNode* curNode = root;
while(i < prefix.size() && curNode->children[prefix[i]-'a'] != NULL)
{
curNode = curNode->children[prefix[i]-'a'];
i ++;
}
if(i == prefix.size())
// curNode might be left or not
return true;
else
return false;
} private:
TrieNode* root;
}; // Your Trie object will be instantiated and called as such:
// Trie trie;
// trie.insert("somestring");
// trie.search("key");

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