代码拉取完成,页面将自动刷新
# Time: O(n), per operation
# Space: O(1)
class TrieNode(object):
# Initialize your data structure here.
def __init__(self):
self.is_string = False
self.leaves = {}
class Trie(object):
def __init__(self):
self.root = TrieNode()
# @param {string} word
# @return {void}
# Inserts a word into the trie.
def insert(self, word):
cur = self.root
for c in word:
if not c in cur.leaves:
cur.leaves[c] = TrieNode()
cur = cur.leaves[c]
cur.is_string = True
# @param {string} word
# @return {boolean}
# Returns if the word is in the trie.
def search(self, word):
node = self.childSearch(word)
if node:
return node.is_string
return False
# @param {string} prefix
# @return {boolean}
# Returns if there is any word in the trie
# that starts with the given prefix.
def startsWith(self, prefix):
return self.childSearch(prefix) is not None
def childSearch(self, word):
cur = self.root
for c in word:
if c in cur.leaves:
cur = cur.leaves[c]
else:
return None
return cur
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。