LeetCode----Add and Search Word - Data structure design
2015-10-08 20:44
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Add and Search Word - Data structure design
Design a data structure that supports the following two operations:
search(word) can search a literal word or a regular expression string containing only letters
A
For example:
Note:
You may assume that all words are consist of lowercase letters
click to show hint.
You should be familiar with how a Trie works. If not, please work on this problem: Implement Trie (Prefix Tree) first.
分析:
同上一题,实现Trie树。增加了“.”的支持。使用递归完成。
代码:
class TrieNode(object):
def __init__(self):
"""
Initialize your data structure here.
"""
self.tnlst = {}
self.terminal = False
def __str__(self):
return str(self.tnlst.items())
class WordDictionary(object):
def __init__(self):
"""
initialize your data structure here.
"""
self.root = TrieNode()
def addWord(self, word):
"""
Adds a word into the data structure.
:type word: str
:rtype: void
"""
r = self.root
for w in word:
if w not in r.tnlst:
r.tnlst[w] = TrieNode()
r = r.tnlst[w]
r.terminal = True
def search(self, word):
"""
Returns if the word is in the data structure. A word could
contain the dot character '.' to represent any one letter.
:type word: str
:rtype: bool
"""
return self.searchLeaf(self.root, word)
def searchLeaf(self, curNode, word):
if not word:
if not curNode.terminal:
return False
return True
ch = word[0]
if ch == '.':
for i in curNode.tnlst.keys():
if self.searchLeaf(curNode.tnlst[i], word[1:]):
return True
return False
if ch in curNode.tnlst:
return self.searchLeaf(curNode.tnlst[ch], word[1:])
else:
return False
Design a data structure that supports the following two operations:
void addWord(word) bool search(word)
search(word) can search a literal word or a regular expression string containing only letters
a-zor
..
A
.means it can represent any one letter.
For example:
addWord("bad") addWord("dad") addWord("mad") search("pad") -> false search("bad") -> true search(".ad") -> true search("b..") -> true
Note:
You may assume that all words are consist of lowercase letters
a-z.
click to show hint.
You should be familiar with how a Trie works. If not, please work on this problem: Implement Trie (Prefix Tree) first.
分析:
同上一题,实现Trie树。增加了“.”的支持。使用递归完成。
代码:
class TrieNode(object):
def __init__(self):
"""
Initialize your data structure here.
"""
self.tnlst = {}
self.terminal = False
def __str__(self):
return str(self.tnlst.items())
class WordDictionary(object):
def __init__(self):
"""
initialize your data structure here.
"""
self.root = TrieNode()
def addWord(self, word):
"""
Adds a word into the data structure.
:type word: str
:rtype: void
"""
r = self.root
for w in word:
if w not in r.tnlst:
r.tnlst[w] = TrieNode()
r = r.tnlst[w]
r.terminal = True
def search(self, word):
"""
Returns if the word is in the data structure. A word could
contain the dot character '.' to represent any one letter.
:type word: str
:rtype: bool
"""
return self.searchLeaf(self.root, word)
def searchLeaf(self, curNode, word):
if not word:
if not curNode.terminal:
return False
return True
ch = word[0]
if ch == '.':
for i in curNode.tnlst.keys():
if self.searchLeaf(curNode.tnlst[i], word[1:]):
return True
return False
if ch in curNode.tnlst:
return self.searchLeaf(curNode.tnlst[ch], word[1:])
else:
return False
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