[코테] 리트코드 트라이 208. Implement Trie (Prefix Tree)
208. Implement Trie (Prefix Tree)
문제 링크
https://leetcode.com/problems/implement-trie-prefix-tree/description/
문제 설명
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.
제한 사항
- 1 <= word.length, prefix.length <= 2000
- word and prefix consist only of lowercase English letters.
- At most 3 * 10^4 calls in total will be made to insert, search, and startsWith.
입출력 예 #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
문제 풀이
search는 해당 단어가 있는지 여부를 확인하기 위해 마지막 문자의 값을 True로 해주고, startswith는 search와 동일하나 문자열의 문자가 있는지를 순회하며 확인한다.
# 트라이의 노드
class TrieNode:
def __init__(self):
self.word = False
self.children = collections.defaultdict(TrieNode)
class Trie:
def __init__(self):
self.root = TrieNode()
# 단어 삽입
def insert(self, word: str) -> None:
node = self.root
for char in word:
node = node.children[char]
node.word = True
# 단어 존재 여부 판별
def search(self, word: str) -> bool:
node = self.root
for char in word:
if char not in node.children:
return False
node = node.children[char]
return node.word
# 문자열로 시작 단어 존재 여부 판별
def startsWith(self, prefix: str) -> bool:
node = self.root
for char in prefix:
if char not in node.children:
return False
node = node.children[char]
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)
Comments