LeetCode contest 187 1436. 旅行终点站 Destination City

Table of Contents

一、中文版

二、英文版

三、My answer

四、解题报告

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一、中文版

给你一份旅游线路图，该线路图中的旅行线路用数组 paths 表示，其中 paths[i] = [cityAi, cityBi] 表示该线路将会从 cityAi 直接前往 cityBi 。请你找出这次旅行的终点站，即没有任何可以通往其他城市的线路的城市。

题目数据保证线路图会形成一条不存在循环的线路，因此只会有一个旅行终点站。

 

示例 1：

输入：paths = [["London","New York"],["New York","Lima"],["Lima","Sao Paulo"]]
输出："Sao Paulo" 
解释：从 "London" 出发，最后抵达终点站 "Sao Paulo" 。本次旅行的路线是 "London" -> "New York" -> "Lima" -> "Sao Paulo" 。

示例 2：

输入：paths = [["B","C"],["D","B"],["C","A"]]
输出："A"
解释：所有可能的线路是：
"D" -> "B" -> "C" -> "A". 
"B" -> "C" -> "A". 
"C" -> "A". 
"A". 
显然，旅行终点站是 "A" 。

示例 3：

输入：paths = [["A","Z"]]
输出："Z"

提示：

• 1 <= paths.length <= 100
• paths[i].length == 2
• 1 <= cityAi.length, cityBi.length <= 10
• cityAi != cityBi
• 所有字符串均由大小写英文字母和空格字符组成。

二、英文版

You are given the array paths, where paths[i] = [cityAi, cityBi] means there exists a direct path going from cityAi to cityBi. Return the destination city, that is, the city without any path outgoing to another city.

It is guaranteed that the graph of paths forms a line without any loop, therefore, there will be exactly one destination city.

Example 1:

Input: paths = [["London","New York"],["New York","Lima"],["Lima","Sao Paulo"]]
Output: "Sao Paulo" 
Explanation: Starting at "London" city you will reach "Sao Paulo" city which is the destination city. Your trip consist of: "London" -> "New York" -> "Lima" -> "Sao Paulo".

Example 2:

Input: paths = [["B","C"],["D","B"],["C","A"]]
Output: "A"
Explanation: All possible trips are: 
"D" -> "B" -> "C" -> "A". 
"B" -> "C" -> "A". 
"C" -> "A". 
"A". 
Clearly the destination city is "A".

Example 3:

Input: paths = [["A","Z"]]
Output: "Z"

 Constraints:

• 1 <= paths.length <= 100
• paths[i].length == 2
• 1 <= cityAi.length, cityBi.length <= 10
• cityAi != cityBi
• All strings consist of lowercase and uppercase English letters and the space character.

三、My answer

class Solution:
    def destCity(self, paths: List[List[str]]) -> str:
        set_start = set()
        set_end = set()
        for item in paths:
            set_start.add(item[0])
            set_end.add(item[1])
        
        res = list(set_end-set_start)
        return res[0]

四、解题报告

设置两个集合，一个装出发地，一个装目的地。，

用目的地集合与出发地集合做差集，就是最后的终点站（没有再出发过）。

注意：

Python set 做减法（求差集）之后还是个 set ，且不能用列表的方式取出其中的元素，所以要转成 list 再取值。