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题目:给出一个字符串数组
words
组成的一本英语词典。返回words
中最长的一个单词,该单词是由words
词典中其他单词逐步添加一个字母组成。
若其中有多个可行的答案,则返回答案中字典序最小的单词。若无答案,则返回空字符串。1 -
示例:
# 示例 1
输入:words = ["w","wo","wor","worl", "world"]
输出:"world"
解释: 单词"world"可由"w", "wo", "wor", 和 "worl"逐步添加一个字母组成。
# 示例 2
输入:words = ["a", "banana", "app", "appl", "ap", "apply", "apple"]
输出:"apple"
解释:"apply" 和 "apple" 都能由词典中的单词组成。但是 "apple" 的字典序小于 "apply"
- 提示:
1 <= words.length <= 1000
1 <= words[i].length <= 30
所有输入的字符串 words[i] 都只包含小写字母。 - 思路:
- 解法一:
class Solution(object):
def longestWord(self, words):
"""
:type words: List[str]
:rtype: str
"""
words.sort(key=lambda x:(-len(x), x), reverse=True)
longest = ""
candidates = {""}
for word in words:
if word[:-1] in candidates:
longest = word
candidates.add(word)
return longest
words.sort(key=lambda x:(-len(x), x), reverse=True)
解释见链接: https://blog.csdn.net/weixin_46361294/article/details/123682488.
- 解法二–字典树最小:
class Trie:
def __init__(self):
self.children = [None] * 26
self.isEnd = False
def insert(self, word: str):
node = self
for ch in word:
ch = ord(ch) - ord('a')
if not node.children[ch]:
node.children[ch] = Trie()
node = node.children[ch]
node.isEnd = True
def search(self, word: str):
node = self
for ch in word:
ch = ord(ch) - ord('a')
if node.children[ch] is None or not node.children[ch].isEnd:
return False
node = node.children[ch]
return True
class Solution:
def longestWord(self, words):
t = Trie()
for word in words:
t.insert(word)
longest = ""
for word in words:
if t.search(word) and (len(word) > len(longest) or len(word) == len(longest) and word < longest):
longest = word
return longest
words = ["a", "banana", "app", "appl", "ap", "apply", "apple"]
solution = Solution()
print(solution.longestWord(words))