Description

A data stream is a real-time, continuous, ordered sequence of items. Some examples include sensor data, Internet traffic, financial tickers, on-line auctions, and transaction logs such as Web usage logs and telephone call records. Likewise, queries over streams run continuously over a period of time and incrementally return new results as new data arrives. For example, a temperature detection system of a factory warehouse may run queries like the following.

Query-1: "Every five minutes, retrieve the maximum temperature over the past five minutes." 
Query-2: "Return the average temperature measured on each floor over the past 10 minutes."

We have developed a Data Stream Management System called Argus, which processes the queries over the data streams. Users can register queries to the Argus. Argus will keep the queries running over the changing data and return the results to the corresponding user with the desired frequency.

For the Argus, we use the following instruction to register a query:

Register Q_num Period

Q_num (0 < Q_num <= 3000) is query ID-number, and Period (0 < Period <= 3000) is the interval between two consecutive returns of the result. After Period seconds of register, the result will be returned for the first time, and after that, the result will be returned every Period seconds.

Here we have several different queries registered in Argus at once. It is confirmed that all the queries have different Q_num. Your task is to tell the first K queries to return the results. If two or more queries are to return the results at the same time, they will return the results one by one in the ascending order of Q_num.

Input

The first part of the input are the register instructions to Argus, one instruction per line. You can assume the number of the instructions will not exceed 1000, and all these instructions are executed at the same time. This part is ended with a line of "#".

The second part is your task. This part contains only one line, which is one positive integer K (<= 10000).

Output

You should output the Q_num of the first K queries to return the results, one number per line.

Sample Input

Register 2004 200
Register 2005 300
#
5

Sample Output

2004
2005
2004
2004
2005 思路:裸的优先队列题,存起来当模板
/*
* Author: Joshua
* Created Time: 2014年07月10日 星期四 16时10分11秒
* File Name: poj2501.cpp
*/
#include<cstdio>
#include<queue> using namespace std; typedef long long LL; struct item
{
int Qnum,period,time;
bool operator < (const item &a) const
{
return time > a.time || (time == a.time && Qnum >a.Qnum);
}
}; void solve()
{
priority_queue<item> pq;
char s[]; while (scanf("%s", s ) && s[]!='#')
{
item item;
scanf("%d%d",&item.Qnum,&item.period);
item.time=item.period;
pq.push(item);
} int t;
scanf("%d",&t);
while (t--)
{
item r = pq.top();
pq.pop();
printf("%d\n",r.Qnum);
r.time +=r.period;
pq.push(r);
}
} int main()
{
solve();
return ;
}

poj2051 Argus的更多相关文章

  1. 二叉堆(binary heap)

    堆(heap) 亦被称为:优先队列(priority queue),是计算机科学中一类特殊的数据结构的统称.堆通常是一个可以被看做一棵树的数组对象.在队列中,调度程序反复提取队列中第一个作业并运行,因 ...

  2. poj 2051.Argus 解题报告

    题目链接:http://poj.org/problem?id=2051 题目意思:题目有点难理解,所以结合这幅图来说吧---- 有一个叫Argus的系统,该系统支持一个 Register 命令,输入就 ...

  3. Argus

    Argus Time Limit: 1000MS Memory Limit: 30000K Total Submissions: 10186 Accepted: 4801 Description A ...

  4. 【暑假】[实用数据结构]UVAlive 3135 Argus

    UVAlive 3135 Argus Argus Time Limit: 3000MS   Memory Limit: Unknown   64bit IO Format: %lld & %l ...

  5. LA-3135 - Argus(优先队列)

    3135 - Argus A data stream is a real-time, continuous, ordered sequence of items. Some examples incl ...

  6. UVA 1203 - Argus(优先队列)

    UVA 1203 - Argus 题目链接 题意:给定一些注冊命令.表示每隔时间t,运行一次编号num的指令.注冊命令结束后.给定k.输出前k个运行顺序 思路:用优先队列去搞,任务时间作为优先级.每次 ...

  7. uva 1203 - Argus(优先队列)

    option=com_onlinejudge&Itemid=8&page=show_problem&problem=3644" target="_blank ...

  8. Winter-2-STL-A Argus 解题报告及测试数据

    Time Limit:2000MS     Memory Limit:65536KB Description A data stream is a real-time, continuous, ord ...

  9. ACM解题之(ZOJ 2212) Argus

    题目来源: 点击打开题目 题目翻译: 数据流是实时的,连续的,有序的项目序列.一些例子包括传感器数据,互联网流量,金融代码,在线拍卖以及诸如网络使用日志和电话记录之类的交易日志.同样,对流进行的查询在 ...

随机推荐

  1. 51nod_1605:棋盘问题

    题目链接:https://www.51nod.com/onlineJudge/questionCode.html#!problemId=1605 题目中最有用的点其实还是x必为奇数 #include& ...

  2. pug模板引擎(原jade)

    前面的话 为什么要引入pug,pug有什么特别之处呢?有一些嵌套层次较深的页面,可能会出现巢状嵌套,如下图所示 在后期维护和修改时,一不小心少了一个尖括号,或者某个标签的开始和闭合没有对应上,就会导致 ...

  3. 整理的 matplotlib 绘图笔记

  4. (转)Dom4J解析

    xml文档: <?xml version="1.0" encoding="UTF-8"?> <书架> <书 出版社="清 ...

  5. Java中的clone()----深复制,浅复制

    这篇文章主要介绍了Java中对象的深复制(深克隆)和浅复制(浅克隆) ,需要的朋友可以参考下 1.浅复制与深复制概念 ⑴浅复制(浅克隆) 被复制对象的所有变量都含有与原来的对象相同的值,而所有的对其他 ...

  6. [COGS 0014][网络流24题] 搭配飞行员

    先贴题面 14. [网络流24题] 搭配飞行员 ★★☆   输入文件:flyer.in   输出文件:flyer.out简单对比时间限制:1 s   内存限制:128 MB [问题描述]     飞行 ...

  7. XML属性列表

    <?xml version="1.0" encoding="UTF-8"?> <Resources> <Include > ...

  8. 使用Travis CI自动部署Hexo博客

    自从使用GitHub Pages和Hexo来发布博客之后,不得不说方便了许多,只需要几个简单的命令博客就发布了.但在不断的使用中发现每次的发布操作也挺耗时的. 我一般的操作是将平时整理好的md文件放到 ...

  9. C互质个数

    C互质个数 Time Limit:1000MS  Memory Limit:65536K Total Submit:55 Accepted:27 Description 贝贝.妞妞和康康都长大了,如今 ...

  10. The ways to kill Oracle session

    As we all known ,its the normal way  to use the SQL  'alter system kill 'sid,serial#'' to kill a ses ...