A1131. Subway Map (30)
In the big cities, the subway systems always look so complex to the visitors. To give you some sense, the following figure shows the map of Beijing subway. Now you are supposed to help people with your computer skills! Given the starting position of your user, your task is to find the quickest way to his/her destination.
Input Specification:
Each input file contains one test case. For each case, the first line contains a positive integer N (< =100), the number of subway lines. Then N lines follow, with the i-th (i = 1, ..., N) line describes the i-th subway line in the format:
M S[1] S[2] ... S[M]
where M (<= 100) is the number of stops, and S[i]'s (i = 1, ... M) are the indices of the stations (the indices are 4-digit numbers from 0000 to 9999) along the line. It is guaranteed that the stations are given in the correct order -- that is, the train travels between S[i] and S[i+1] (i = 1, ..., M-1) without any stop.
Note: It is possible to have loops, but not self-loop (no train starts from S and stops at S without passing through another station). Each station interval belongs to a unique subway line. Although the lines may cross each other at some stations (so called "transfer stations"), no station can be the conjunction of more than 5 lines.
After the description of the subway, another positive integer K (<= 10) is given. Then K lines follow, each gives a query from your user: the two indices as the starting station and the destination, respectively.
The following figure shows the sample map.
Note: It is guaranteed that all the stations are reachable, and all the queries consist of legal station numbers.
Output Specification:
For each query, first print in a line the minimum number of stops. Then you are supposed to show the optimal path in a friendly format as the following:
Take Line#X1 from S1 to S2.
Take Line#X2 from S2 to S3.
......
where Xi's are the line numbers and Si's are the station indices. Note: Besides the starting and ending stations, only the transfer stations shall be printed.
If the quickest path is not unique, output the one with the minimum number of transfers, which is guaranteed to be unique.
Sample Input:
4
7 1001 3212 1003 1204 1005 1306 7797
9 9988 2333 1204 2006 2005 2004 2003 2302 2001
13 3011 3812 3013 3001 1306 3003 2333 3066 3212 3008 2302 3010 3011
4 6666 8432 4011 1306
3
3011 3013
6666 2001
2004 3001
Sample Output:
2
Take Line#3 from 3011 to 3013.
10
Take Line#4 from 6666 to 1306.
Take Line#3 from 1306 to 2302.
Take Line#2 from 2302 to 2001.
6
Take Line#2 from 2004 to 1204.
Take Line#1 from 1204 to 1306.
Take Line#3 from 1306 to 3001.
#include<iostream>
#include<algorithm>
#include<cstdio>
#include<map>
#include<vector>
using namespace std;
vector<int>G[];
int visit[] = {}, transfer = , ansTran = ;
map<int,int>mp[];
vector<int> ans, temp;
void DFS(int pre, int s, int d){
temp.push_back(s);
visit[s] = ;
if(s == d){
if(ans.size() == || ans.size() > temp.size()){
ans = temp;
ansTran = transfer;
}else if(ans.size() == temp.size() && transfer < ansTran){
ans = temp;
ansTran = transfer;
}
temp.pop_back();
visit[s] = ;
return;
}
for(int i = ; i < G[s].size(); i++){
if(visit[G[s][i]] == ){
if(pre != s && mp[pre][s] != mp[s][G[s][i]])
transfer++;
DFS(s, G[s][i], d);
if(pre != s && mp[pre][s] != mp[s][G[s][i]])
transfer--;
}
}
visit[s] = ;
temp.pop_back();
return;
}
int main(){
int N, M;
scanf("%d", &N);
for(int i = ; i < N; i++){
int v;
scanf("%d%d", &M, &v);
for(int j = ; j < M; j++){
int v2;
scanf("%d", &v2);
G[v].push_back(v2);
G[v2].push_back(v);
mp[v][v2] = i + ;
mp[v2][v] = i + ;
v = v2;
}
}
int K;
scanf("%d", &K);
for(int i = ; i < K; i++){
int s, d;
scanf("%d%d", &s, &d);
transfer = ;
ansTran = ;
DFS(s,s,d);
int preLine = mp[ans[]][ans[]], preS = ans[];
printf("%d\n", ans.size() - );
for(int i = ; i < ans.size() - ; i++){
if(mp[ans[i]][ans[i+]] != preLine){
printf("Take Line#%d from %04d to %04d.\n", preLine, preS, ans[i]);
preS = ans[i];
preLine = mp[ans[i]][ans[i+]];
}
}
printf("Take Line#%d from %04d to %04d.\n", preLine, preS, d);
ans.clear();
}
cin >> N;
return ;
}
总结:
1、题意:给出地铁线路图和起点终点,求出换乘路线,要求经过站点最少,如果有一样的要求换乘次数最少。
2、求路线就是求最短路,dijkstra或者dfs应该都可以,注意是求最短路,和图的遍历不一样,所以在dfs的时候不要忘记在递归调用前置visit数组,在递归结束后再恢复visit数组。其次如有其他参数,也需要在递归前设置,递归后恢复。
3、主要是输出换乘线路时比较麻烦。应该用两个点标记一条线。用map<int, int>标记地铁的几号线。对得到的路径进行输出时,判断,当路径上有abc三点,ab的线路不等于bc时,说明b是换乘地点,需要输出。
4、由于地图较大,节点id为4位数,所以最好使用邻接表而非邻接矩阵来存储图G。
A1131. Subway Map (30)的更多相关文章
- PAT甲级——A1131 Subway Map【30】
In the big cities, the subway systems always look so complex to the visitors. To give you some sense ...
- PAT 1131. Subway Map (30)
最短路. 记录一下到某个点,最后是哪辆车乘到的最短距离.换乘次数以及从哪个位置推过来的,可以开$map$记录一下. #include<map> #include<set> #i ...
- PAT A1131 Subway Map
dfs,选择最优路径并输出~ 这道题难度非常炸裂,要求完完整整自己推一遍,DFS才算过关!思路:一遍dfs,过程中要维护两个变量,minCnt 中途停靠最少的站.minTransfer需要换成的最少次 ...
- PAT_A1131#Subway Map
Source: PAT A1131 Subway Map (30 分) Description: In the big cities, the subway systems always look s ...
- PAT甲级——1131 Subway Map (30 分)
可以转到我的CSDN查看同样的文章https://blog.csdn.net/weixin_44385565/article/details/89003683 1131 Subway Map (30 ...
- PAT甲级1131. Subway Map
PAT甲级1131. Subway Map 题意: 在大城市,地铁系统对访客总是看起来很复杂.给你一些感觉,下图显示了北京地铁的地图.现在你应该帮助人们掌握你的电脑技能!鉴于您的用户的起始位置,您的任 ...
- 1131 Subway Map(30 分)
In the big cities, the subway systems always look so complex to the visitors. To give you some sense ...
- 1131 Subway Map DFS解法 BFS回溯!
In the big cities, the subway systems always look so complex to the visitors. To give you some sense ...
- PAT 1131 Subway Map
In the big cities, the subway systems always look so complex to the visitors. To give you some sense ...
随机推荐
- MT4用EA测试历史数据时日志出现:stopped because of stop out
今天用嘉盛的MT4测试一个EA,谁知道才走了十几天数据就完 了,看结果本金也没亏完啊,才亏了一半,而且我测的是1年的时间. 查看日志一有条警告:stopped because of stop out, ...
- 我和我的小伙伴们都惊呆了!基于Canvas的第三方库Three.js
What is Three.js three + js 表示运行在浏览器上的3D程序 javascript的计算能力因为google的V8引擎得到了迅猛提升 做服务器都没问题了 更别说3D了 哈哈 ...
- python之路--类的约束, 异常处理, MD5, 日志处理
一 . 类的约束 1. 写一个父类,父类中的某个方法要抛出一个异常 NotImplementedError class Base: # 对子类进行了约束. 必须重写该方法 # 以后上班了. 拿到公司代 ...
- python 列表、元组、字典
一.列表 [ ] 如下的列子都可以成为列表,c=[1,2,3,4,5,6],d=["abc", "张三",“李四”],e=[1,2,3,"abc&qu ...
- 图像识别opencv学习自修第一天【opencv的安装】
1. 安装步骤 (1)安装python (2)安装xcode (3)使用macports现成包安装opencv (4)安装scipy 2. 安装实战 (1)已经安装好了python,并安装好了virt ...
- 莫烦theano学习自修第十天【保存神经网络及加载神经网络】
1. 为何保存神经网络 保存神经网络指的是保存神经网络的权重W及偏置b,权重W,和偏置b本身是一个列表,将这两个列表的值写到列表或者字典的数据结构中,使用pickle的数据结构将列表或者字典写入到文件 ...
- 九、.net core用orm继承DbContext(数据库上下文)方式操作数据库
一.创建一个DataContext普通类继承DbContext 安装程序集:Pomelo.EntityFrameworkCore.MySql 二.配置连接字符串(MySql/SqlServer都 ...
- 时频工具箱tftb
安装:set path 常规里更新 一.信号产生函数: amexpo1s 单边指数幅值调制信号amexpo2s 双边指数幅值调制信号amgauss 高斯幅值调制信号amrect 矩形幅值调制信 ...
- POJ 3264-Balanced Lineup-RMQ问题
裸RMQ问题 #include <cstdio> #include <algorithm> #include <cstring> using namespace s ...
- 数据分析---用pandas进行数据清洗(Data Analysis Pandas Data Munging/Wrangling)
这里利用ben的项目(https://github.com/ben519/DataWrangling/blob/master/Python/README.md),在此基础上增添了一些内容,来演示数据清 ...