D. Robot Control
time limit per test

6 seconds

memory limit per test

256 megabytes

input

standard input

output

standard output

The boss of the Company of Robot is a cruel man. His motto is "Move forward Or Die!". And that is exactly what his company's product do. Look at the behavior of the company's robot when it is walking in the directed graph. This behavior has been called "Three Laws of Robotics":

  • Law 1. The Robot will destroy itself when it visits a vertex of the graph which it has already visited.
  • Law 2. The Robot will destroy itself when it has no way to go (that is when it reaches a vertex whose out-degree is zero).
  • Law 3. The Robot will move randomly when it has multiple ways to move (that is when it reach a vertex whose out-degree is more than one). Of course, the robot can move only along the directed edges of the graph.

Can you imagine a robot behaving like that? That's why they are sold at a very low price, just for those who are short of money, including mzry1992, of course. mzry1992 has such a robot, and she wants to move it from vertex s to vertex t in a directed graph safely without self-destruction. Luckily, she can send her robot special orders at each vertex. A special order shows the robot which way to move, if it has multiple ways to move (to prevent random moving of the robot according to Law 3). When the robot reaches vertex t, mzry1992 takes it off the graph immediately. So you can see that, as long as there exists a path from s to t, she can always find a way to reach the goal (whatever the vertex t has the outdegree of zero or not).

Sample 2

However, sending orders is expensive, so your task is to find the minimum number of orders mzry1992 needs to send in the worst case. Please note that mzry1992 can give orders to the robot while it is walking on the graph. Look at the first sample to clarify that part of the problem.

Input

The first line contains two integers n (1 ≤ n ≤ 106) — the number of vertices of the graph, and m (1 ≤ m ≤ 106) — the number of edges. Then m lines follow, each with two integers ui and vi (1 ≤ ui, vi ≤ n; vi ≠ ui), these integers denote that there is a directed edge from vertex ui to vertex vi. The last line contains two integers s and t (1 ≤ s, t ≤ n).

It is guaranteed that there are no multiple edges and self-loops.

Output

If there is a way to reach a goal, print the required minimum number of orders in the worst case. Otherwise, print -1.

Examples
Input
4 6
1 2
2 1
1 3
3 1
2 4
3 4
1 4
Output
1
Input
4 5
1 2
2 1
1 3
2 4
3 4
1 4
Output
1
Note

Consider the first test sample. Initially the robot is on vertex 1. So, on the first step the robot can go to vertex 2 or 3. No matter what vertex the robot chooses, mzry1992 must give an order to the robot. This order is to go to vertex 4. If mzry1992 doesn't give an order to the robot at vertex 2 or 3, the robot can choose the "bad" outgoing edge (return to vertex 1) according Law 3. So, the answer is one.

【题解】

dp[u]表示从u这个点到终点需要的最小代价

dp[u] = min(max(dp[v]), min(dp[u]) + 1), dp[t] = 1, u - > v

可以用SPFA转移

对于点u,用u去松弛u的入边的min(dp[u]) + 1,用u的出边的点去松弛u的max(dp[v])

时间复杂度O(玄学)

 #include <iostream>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <algorithm>
#include <sstream>
#include <vector>
#include <string>
#include <cmath>
#include <queue>
#define min(a, b) ((a) < (b) ? (a) : (b))
#define max(a, b) ((a) > (b) ? (a) : (b)) inline void swap(int &a, int &b)
{
int tmp = a;a = b;b = tmp;
} inline void read(int &x)
{
x = ;char ch = getchar(), c = ch;
while(ch < '' || ch > '')c = ch, ch = getchar();
while(ch <= '' && ch >= '')x = x * + ch - '', ch = getchar();
if(c == '-')x = -x;
} const int INF = 0x3f3f3f3f;
const int MAXN = + ;
const int MAXM = + ; struct Edge
{
int u,v,nxt;
Edge(int _u, int _v, int _nxt){u = _u;v = _v;nxt = _nxt;}
Edge(){}
}edge1[MAXM], edge2[MAXN];
int head1[MAXN], head2[MAXN], cnt1, cnt2;
inline void insert(int a, int b)
{
edge1[++cnt1] = Edge(a,b,head1[a]);
head1[a] = cnt1;
edge2[++cnt2] = Edge(b,a,head2[b]);
head2[b] = cnt2;
} int n,m,s,t,dp[MAXN],b[MAXN];
std::queue<int> q; /*
dp[u] = min(min(dp[v]) + 1, max(dp[v]))
*/ void SPFA()
{
b[t] = ;memset(dp, 0x3f, sizeof(dp));dp[t] = ;q.push(t);
while(q.size())
{
int u = q.front();q.pop();b[u] = ;
for(register int pos = head2[u];pos;pos = edge2[pos].nxt)
{
int v = edge2[pos].v;
if(dp[u] + < dp[v])
{
dp[v] = dp[u] + ;
if(!b[v])
{
b[v] = ;
q.push(v);
}
}
}
int tmp = ;
for(register int pos = head1[u];pos;pos = edge1[pos].nxt) tmp = max(tmp, dp[edge1[pos].v]);
if(tmp < dp[u])
{
dp[u] = tmp;
if(!b[u])
{
b[u] = ;
q.push(u);
}
}
}
} int main()
{
read(n), read(m);
for(register int i = ;i <= m;++ i)
{
int tmp1,tmp2;
read(tmp1), read(tmp2);
insert(tmp1, tmp2);
}
read(s), read(t);
SPFA();
if(dp[s] == INF)dp[s] = -;
printf("%d\n", dp[s]);
return ;
}

Codeforces346D

Codeforces346D. Robot Control的更多相关文章

  1. [Notes] Reading Notes on [Adaptive Robot Control – mxautomation J. Braumann 2015]

    Reading sources: 1.Johannes Braumann, Sigrid Brell-Cokcan, Adaptive Robot Control (ARC  ) Note: buil ...

  2. Codeforces 346D Robot Control(01BFS)

    题意 有一个 \(N\) 个点, \(M\) 条边的有向图, 初始有一个机器人在 \(1\) 号点. 每个时刻, 这个机器人会随机选择一条从该点出发地边并通过.当机器人到达点 \(N\) 时, 它就会 ...

  3. Codeforces 346D Robot Control DP spfa 01BFS

    题意及思路:https://www.cnblogs.com/zjp-shadow/p/9562888.html 这题由于性质特殊,可以用01BFS来进行DP的转移. 代码: #include < ...

  4. Codeforces Gym 100610 Problem K. Kitchen Robot 状压DP

    Problem K. Kitchen Robot Time Limit: 1 Sec Memory Limit: 256 MB 题目连接 http://codeforces.com/gym/10061 ...

  5. NBU expired Media,Media ID not found in EMM database

    Subject:When attempting to expire a media in Veritas NetBackup (tm) 6.0 with the bpexpdate command, ...

  6. SLAM学习笔记(3)相关概念

    SIFT,即尺度不变特征变换(Scale-invariant feature transform,SIFT),是用于图像处理领域的一种描述子.这种描述具有尺度不变性,可在图像中检测出关键点,是一种局部 ...

  7. HOWTO: Create native-looking iPhone/iPad applications from HTML, CSS and JavaScript

    HOWTO: Create native-looking iPhone/iPad applications from HTML, CSS and JavaScript Though it's not ...

  8. ROS常用三維機器人仿真工具Gazebo教程匯總

    參考網址: 1. http://gazebosim.org/tutorials 2. http://gazebosim.org/tutorials/browse Gazebo Tutorials Ga ...

  9. ROS_Kinetic_x 目前已更新的常用機器人資料 rosbridge agvs pioneer_teleop nao TurtleBot

    Running Rosbridge Description: This tutorial shows you how to launch a rosbridge server and talk to ...

随机推荐

  1. react 16.3+ 新生命周期

    react 16.3版本出现了两个新的生命周期函数,并将逐渐废弃componentWillMount().componentWillReceiveProps().componentWillUpdate ...

  2. property和attribute的区别---value

    从网上看到很多写关于input的value属性,写的setAttribute可以影响DOM的property的value,在实践中我发现不同现象, 在页面初始化后,用setAttribute对valu ...

  3. TCP协议解析及相关问题

    TCP协议是什么: TCP是一种传输控制层的协议(TCP,Transmission Control Protocol)是为了在不可靠的互联网络上提供可靠的端到端字节流而专门设计的一个传输协议.也就是要 ...

  4. Java Collection - PriorityQueue 优先队列

    总结 优先队列的作用是能保证每次取出的元素都是队列中权值最小的(Java的优先队列每次取最小元素,C++的优先队列每次取最大元素).这里牵涉到了大小关系,元素大小的评判可以通过元素本身的自然顺序(na ...

  5. Java Http POST/GET 情求

    POST: //返回体 public static final String RESPONCE_BODY = "responceBody"; //URL public static ...

  6. Robot Framework:Excel操作

    robot framework 操作Excel需要安装库 ExcelLibrary pip install robotframework-ExcelLibrary 将ExcelLibrary 导入到r ...

  7. PHP ftp_login() 函数

    定义和用法 ftp_login() 函数登录 FTP 服务器. 如果成功,该函数返回 TRUE.如果失败,则返回 FALSE 和一个警告. 语法 ftp_login(ftp_connection,us ...

  8. 【dart学习】-- Dart之函数

    1. 指定返回值得函数 /** * 无返回值的函数 * params: 可以是任意类型(var和Object类型也可以任意类型). 当然这里的参数类型你可以随意指定我这里已dynamic为例 * 参数 ...

  9. Android项目中引用到其他工程

    有的时候我们需要在现有的项目中引用到其他项目的资源和文件,当然我们可以将被引用的工程打成jar包,但是这有个缺点就是,这个改动比较麻烦,除非是被引用的工程的资源和源程序文件不再改动,可以这样做,否则每 ...

  10. tarjan求强联通分量

    tarjan求强联通分量 变量含义说明: pre[i]:i点的被访问的时钟编号,被分配后保持不变 low[i]:i点能访问的最先的点的时钟编号,随子节点改变 scc_no[i]:i点所在的强联通分量的 ...