Leetcode 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.
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
class TrieNode:
def __init__(self):
self.children = {}
self.endOfWord = False
class Trie:
def __init__(self):
self.root = TrieNode()
def insert(self, word: str) -> None:
cur = self.root
for c in word:
if c not in cur.children:
cur.children[c] = TrieNode()
cur = cur.children[c]
cur.endOfWord = True
def search(self, word: str) -> bool:
cur = self.root
for c in word:
if c not in cur.children:
return False
cur = cur.children[c]
return cur.endOfWord
def startsWith(self, prefix: str) -> bool:
cur = self.root
for c in prefix:
if c not in cur.children:
return False
cur = cur.children[c]
return True
# Your Trie object will be instantiated and called as such:
# obj = Trie()
# obj.insert(word)
# param_2 = obj.search(word)
# param_3 = obj.startsWith(prefix)