三个月算法进阶--day84
目录
前缀树、字典树、Trie树(try)
多叉树
实现
from collections import defaultdict
class TrieNode:
def __init__(self):
self.children = defaultdict(TrieNode)
self.word = False # 标志,该节点所表示的字符串是否为一个单词
class Trie:
def __init__(self):
"""
Initialize your data structure here.
"""
self.root = TrieNode()
def insert(self, word):
"""
Inserts a word into the trie.
:type word: str
:rtype: void
"""
cur = self.root
for w in word:
cur = cur.children[w]
cur.word = True
def search(self, word):
"""
Returns if the word is in the trie.
:type word: str
:rtype: bool
"""
cur = self.root
for w in word:
if w not in cur.children:
return False
cur = cur.children[w]
if cur.word :
return True
return False
def startsWith(self, prefix):
"""
Returns if there is any word in the trie that starts with the given prefix.
:type prefix: str
:rtype: bool
"""
cur = self.root
for p in prefix:
if p not in cur.children:
return False
cur = cur.children[p]
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)
以空间换时间
应用
自动补全、前缀匹配