Trie树的操作:插入、搜索
class TrieNode():
def __init__(self):
""" Initialize your data structure here. """
self.child = {}
self.is_word = False
class Trie(object):
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 """
node = self.root
for letter in word:
data = node.child.get(letter)
if data is None:
node.child[letter] = TrieNode()
node = node.child[letter]
node.is_word = True
def search(self, word):
""" Returns if the word is in the trie. :type word: str :rtype: bool """
node = self.root
for letter in word:
node = node.child.get(letter)
if not node:
return False
return node.is_word
def startsWith(self, prefix):
""" Returns if there is any word in the trie that starts with the given prefix. :type prefix: str :rtype: bool """
node = self.root
for letter in prefix:
node = node.child.get(letter)
if not node:
return False
return True
def get_start(self, prefix):
""" Returns words started with prefix :param prefix: :return: words (list) """
#递归求出pre_node之后的child,其中pre是前面所有的字符串,pre_node是前一个trienode
def _get_key(pre,pre_node):
words_list = []
if pre_node.is_word:
words_list.append(pre)
for x in pre_node.child.keys():
words_list.extend(_get_key(pre+str(x), pre_node.child.get(x)))
return words_list
words = []
if not self.startsWith(prefix):
return words
if self.search(prefix):
words.append(prefix)
return words
node = self.root
for letter in prefix:
node = node.child.get(letter)
return _get_key(prefix, node)
trie = Trie()
trie.insert("startswith")
trie.insert("somebody")
trie.insert("somebody1")
trie.insert("somebody3")
print(trie.search("key"))
print(trie.search("somebody3"))
print(trie.get_start('some'))
# t = TrieNode()
# t.child['some'] = 1
# print(t)