1. Description
2. Solution
**解析:**Version 1,字典树的实现,每一个结点都可能包含26个子节点,其子结点的key
为a-z
,除根节点外,每个结点还可能包含end
作为单词结束的标志。
- Version 1
class TrieNode:
def __init__(self):
self.children = {}
class Trie:
def __init__(self):
"""
Initialize your data structure here.
"""
self.root = TrieNode()
def insert(self, word: str) -> None:
"""
Inserts a word into the trie.
"""
current = self.root
for ch in word:
if ch in current.children:
current = current.children[ch]
else:
node = TrieNode()
current.children[ch] = node
current = node
current.children['end'] = 'end'
def search(self, word: str) -> bool:
"""
Returns if the word is in the trie.
"""
current = self.root
for ch in word:
if ch in current.children:
current = current.children[ch]
else:
return False
return 'end' in current.children:
def startsWith(self, prefix: str) -> bool:
"""
Returns if there is any word in the trie that starts with the given prefix.
"""
current = self.root
for ch in prefix:
if ch in current.children:
current = current.children[ch]
else:
return False
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)
Reference
- https://leetcode.com/problems/implement-trie-prefix-tree/