A1017. Queueing at Bank
Suppose a bank has K windows open for service. There is a yellow line in front of the windows which devides the waiting area into two parts. All the customers have to wait in line behind the yellow line, until it is his/her turn to be served and there is a window available. It is assumed that no window can be occupied by a single customer for more than 1 hour.
Now given the arriving time T and the processing time P of each customer, you are supposed to tell the average waiting time of all the customers.
Input Specification:
Each input file contains one test case. For each case, the first line contains 2 numbers: N (<=10000) - the total number of customers, and K (<=100) - the number of windows. Then N lines follow, each contains 2 times: HH:MM:SS - the arriving time, and P - the processing time in minutes of a customer. Here HH is in the range [00, 23], MM and SS are both in [00, 59]. It is assumed that no two customers arrives at the same time.
Notice that the bank opens from 08:00 to 17:00. Anyone arrives early will have to wait in line till 08:00, and anyone comes too late (at or after 17:00:01) will not be served nor counted into the average.
Output Specification:
For each test case, print in one line the average waiting time of all the customers, in minutes and accurate up to 1 decimal place.
Sample Input:
7 3
07:55:00 16
17:00:01 2
07:59:59 15
08:01:00 60
08:00:00 30
08:00:02 2
08:03:00 10
Sample Output:
8.2
#include<cstdio>
#include<iostream>
#include<algorithm>
#include<math.h>
using namespace std;
typedef struct{
int come;
int process;
}info;
info people[];
int window[];
int N, K;
bool cmp(info a, info b){
return a.come < b.come;
}
int main(){
int hh, mm, ss, len;
scanf("%d%d", &N, &K);
for(int i = ; i < N; i++){
scanf("%d:%d:%d %d", &hh, &mm, &ss, &len);
people[i].come = hh * + mm * + ss;
people[i].process = len * ;
}
sort(people, people + N, cmp);
int wait = , early = * , late = * ;
fill(window, window + K, early);
int cnt = ;
for(int i = ; i < N; i++){
int index = -, minT = ;
for(int j = ; j < K; j++){
if(window[j] < minT){
minT = window[j];
index = j;
}
}
if(people[i].come > late)
break;
cnt++;
if(people[i].come >= window[index]){
window[index] = people[i].process + people[i].come;
}else{
wait += (window[index] - people[i].come);
window[index] += people[i].process;
}
}
double AVG = (double)wait / (double)(cnt * );
printf("%.1f", AVG);
cin >> N;
return ;
}
总结:
1、模拟排队和服务的问题。不要把window数组仅仅设置为占用和不占用,而是用windows[ i ]记录该窗口可被使用的时间。初始化时都被置为8:00,即8点之后才可服务。
2、由于题目给出的顾客是乱的,先按时间排序。一次处理每一个顾客,对每一个顾客,选择一个可被使用的时间最早的窗口对其处理,如果顾客来的时间早于窗口可服务时间,则等待时间累加,并修改窗口可服务时间;如果晚于,则可立即服务没有等待时间,但依旧修改窗口可服务时间。如果顾客晚于17点或最早可被使用的窗口晚于17点则无法服务。
3、为了便于计算,所有时间换算成秒。没有被服务的顾客不计入等待时间。
A1017. Queueing at Bank的更多相关文章
- PAT A1017 Queueing at Bank (25 分)——队列
Suppose a bank has K windows open for service. There is a yellow line in front of the windows which ...
- PAT甲级——A1017 Queueing at Bank
Suppose a bank has K windows open for service. There is a yellow line in front of the windows which ...
- [PAT] A1017 Queueing at Bank
[思路] 1:将所有满足条件的(到来时间点在17点之前的)客户放入结构体中,结构体的长度就是需要服务的客户的个数.结构体按照到达时间排序. 2:wend数组表示某个窗口的结束时间,一开始所有窗口的值都 ...
- PAT1017:Queueing at Bank
1017. Queueing at Bank (25) 时间限制 400 ms 内存限制 65536 kB 代码长度限制 16000 B 判题程序 Standard 作者 CHEN, Yue Supp ...
- PAT 1017 Queueing at Bank[一般]
1017 Queueing at Bank (25)(25 分)提问 Suppose a bank has K windows open for service. There is a yellow ...
- PAT甲级1017. Queueing at Bank
PAT甲级1017. Queueing at Bank 题意: 假设一家银行有K台开放服务.窗前有一条黄线,将等候区分为两部分.所有的客户都必须在黄线后面排队,直到他/她轮到服务,并有一个可用的窗口. ...
- PAT 1017 Queueing at Bank (模拟)
1017. Queueing at Bank (25) 时间限制 400 ms 内存限制 65536 kB 代码长度限制 16000 B 判题程序 Standard 作者 CHEN, Yue Supp ...
- pat1017. Queueing at Bank (25)
1017. Queueing at Bank (25) 时间限制 400 ms 内存限制 65536 kB 代码长度限制 16000 B 判题程序 Standard 作者 CHEN, Yue Supp ...
- PAT 甲级 1017 Queueing at Bank (25 分)(模拟题,有点思维小技巧,第二次做才理清思路)
1017 Queueing at Bank (25 分) Suppose a bank has K windows open for service. There is a yellow line ...
随机推荐
- flutter 动画双指放大图片
class GridAnimation extends StatefulWidget { @override State<StatefulWidget> createState() { r ...
- HeapSter安装(k8s1.12以后废弃了)
HeapSter InfluxDB(持久存储) Grafana 展示InfluxDB的数据(类似kibana) #安装InfluxDB #github https://github.com/kuber ...
- Java语言支持的3种变量类型
类变量(静态变量):独立于方法之外的变量,用 static 修饰. 实例变量(全局变量):独立于方法之外的变量,不过没有 static 修饰. 局部变量:类的方法中的变量. 例子如下: public ...
- maven(win10)配置完环境变量后无法识别mvn -v命令
第一步:http://maven.apache.org/download.cgi官网下载 第二步:把压缩包解压缩到不含中文和空格的目录下 第三步:新建MAVEN_HOME环境变量,值为maven解压缩 ...
- Vue之双向数据绑定
demo.html <!DOCTYPE html> <html lang="en" xmlns:v-bind="http://www.w3.org/19 ...
- Vue过渡状态
前面的话 Vue 的过渡系统提供了非常多简单的方法设置进入.离开和列表的动效.那么对于数据元素本身的动效呢?包括数字和运算.颜色的显示.SVG 节点的位置.元素的大小和其他的属性等.所有的原始数字都被 ...
- Matlab提供了两种除法运算:左除(\)和右除(/)
Matlab提供了两种除法运算:左除(\)和右除(/).一般情况下,x=a\b是方程a*x =b的解,而x=b/a是方程x*a=b的解.例:a=[1 2 3; 4 2 6; 7 4 9]b ...
- Ftp、Ftps与Sftp之间的区别
Ftp FTP 是File Transfer Protocol(文件传输协议)的英文简称,而中文简称为“文传协议”.用于Internet上的控制文件的双向传输.同时,它也是一个应用程序(Applica ...
- Microsoft Azure Machine Learning Studio
随着机器学习(ML)成为软件行业的主流,重要的是要了解它的工作原理,并将其置于开发栈中.了解如何为您的应用程序构建ML服务,您可以确定您的ML应用程序中的机会,实施ML,并与您的团队的ML专业人士清楚 ...
- hibernate一对多映射文件的配置
其中一个Customer对应多个LinkMan Customer的映射文件 Customer.hbm.xml-------------->一对多 <?xml version="1 ...