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add_and_search.py
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add_and_search.py
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"""
We are asked to design an efficient data structure
that allows us to add and search for words.
The search can be a literal word or regular expression
containing “.”, where “.” can be any letter.
Example:
addWord(“bad”)
addWord(“dad”)
addWord(“mad”)
search(“pad”) -> false
search(“bad”) -> true
search(“.ad”) -> true
search(“b..”) -> true
"""
import collections
class TrieNode(object):
def __init__(self, letter, is_terminal=False):
self.children = dict()
self.letter = letter
self.is_terminal = is_terminal
class WordDictionary(object):
def __init__(self):
self.root = TrieNode("")
def add_word(self, word):
cur = self.root
for letter in word:
if letter not in cur.children:
cur.children[letter] = TrieNode(letter)
cur = cur.children[letter]
cur.is_terminal = True
def search(self, word, node=None):
cur = node
if not cur:
cur = self.root
for i, letter in enumerate(word):
# if dot
if letter == ".":
if i == len(word) - 1: # if last character
for child in cur.children.itervalues():
if child.is_terminal:
return True
return False
for child in cur.children.itervalues():
if self.search(word[i+1:], child) == True:
return True
return False
# if letter
if letter not in cur.children:
return False
cur = cur.children[letter]
return cur.is_terminal
class WordDictionary2(object):
def __init__(self):
self.word_dict = collections.defaultdict(list)
def add_word(self, word):
if word:
self.word_dict[len(word)].append(word)
def search(self, word):
if not word:
return False
if '.' not in word:
return word in self.word_dict[len(word)]
for v in self.word_dict[len(word)]:
# match xx.xx.x with yyyyyyy
for i, ch in enumerate(word):
if ch != v[i] and ch != '.':
break
else:
return True
return False