Given a list of strings words
representing an English Dictionary, find the longest word in words
that can be built one character at a time by other words in words
. If there is more than one possible answer, return the longest word with the smallest lexicographical order.
If there is no answer, return the empty string.
Example 1:
Input: words = ["w","wo","wor","worl", "world"] Output: "world" Explanation: The word "world" can be built one character at a time by "w", "wo", "wor", and "worl".
Example 2:
Input: words = ["a", "banana", "app", "appl", "ap", "apply", "apple"] Output: "apple" Explanation: Both "apply" and "apple" can be built from other words in the dictionary. However, "apple" is lexicographically smaller than "apply".
Note:
- All the strings in the input will only contain lowercase letters.
- The length of
words
will be in the range[1, 1000]
. - The length of
words[i]
will be in the range[1, 30]
.
排序+set解法
class Solution(object):
def longestWord(self, words):
"""
:type words: List[str]
:rtype: str
"""
# use greey algo
# find the most length word that can be built one character at a time by other words in words
words_set = set([""])
words.sort()
ans = ""
for word in words:
if word[:-1] in words_set:
if len(word) > len(ans):
ans = word
words_set.add(word)
return ans
或者是trie:
class Node(object):
def __init__(self, val=""):
self.val = val
self.subs = collections.defaultdict(Node)
class Trie(object):
def __init__(self):
self.root = Node("")
def insert(self, s):
node = self.root
for c in s:
node = node.subs[c]
node.val = s
def longest_word(self):
self.ans = ""
def dfs(node):
for k, n in node.subs.items():
if n.val:
if len(n.val)>len(self.ans) or (len(n.val)==len(self.ans) and n.val<self.ans):
self.ans = n.val
dfs(n)
dfs(self.root)
return self.ans
class Solution(object):
def longestWord(self, words):
"""
:type words: List[str]
:rtype: str
"""
trie = Trie()
for word in words:
trie.insert(word)
return trie.longest_word()