pat a1033

With highways available, driving a car from Hangzhou to any other city is easy. But since the tank capacity of a car is limited, we have to find gas stations on the way from time to time. Different gas station may give different price. You are asked to carefully design the cheapest route to go.

Input Specification:

Each input file contains one test case. For each case, the first line contains 4 positive numbers: C
​max
​​ (≤ 100), the maximum capacity of the tank; D (≤30000), the distance between Hangzhou and the destination city; D
​avg
​​ (≤20), the average distance per unit gas that the car can run; and N (≤ 500), the total number of gas stations. Then N lines follow, each contains a pair of non-negative numbers: P
​i
​​ , the unit gas price, and D
​i
​​ (≤D), the distance between this station and Hangzhou, for i=1,⋯,N. All the numbers in a line are separated by a space.

Output Specification:

For each test case, print the cheapest price in a line, accurate up to 2 decimal places. It is assumed that the tank is empty at the beginning. If it is impossible to reach the destination, print The maximum travel distance = X where X is the maximum possible distance the car can run, accurate up to 2 decimal places.

Sample Input 1:

50 1300 12 8
6.00 1250
7.00 600
7.00 150
7.10 0
7.20 200
7.50 400
7.30 1000
6.85 300
Sample Output 1:

749.17
Sample Input 2:

50 1300 12 2
7.10 0
7.00 600
Sample Output 2:

The maximum travel distance = 1200.00

代码
#include<stdio.h>
#include
using namespace std;
struct sta
{
double dis;
double p;
}s[500];
bool cmp(struct sta a,struct sta b)
{
return a.dis<b.dis;
}
int main()
{
bool cmp(struct sta a,struct sta b);
double c,d,v;
int n;
int tmp;
double sum=0;
double you=0;
int chufa=0;
int min_;
double min=100;
int flag=false;
scanf("%lf%lf%lf%d",&c,&d,&v,&n);
double d1=d;
for(int i=0;i<n;i++)
{
scanf("%lf%lf",&s[i].p,&s[i].dis);
}
sort(s,s+n,cmp);
s[n].dis=d;s[n].p=0;
if(s[0].dis!=0)
{
printf(“The maximum travel distance = 0.00”);
return 0;
}
tmp=cv;
while(chufa<n)
{
min=100;
for(int i=chufa+1;i<=n&&s[i].dis-s[chufa].dis<=tmp;i++)
{
if(s[i].p<min)
{
min_=i;
min=s[i].p;
if(min<s[chufa].p)
break;
}
}
if(min==100)
break;
if(s[min_].p<=s[chufa].p)
{
if(you
v<s[min_].dis-s[chufa].dis)
{sum=sum+s[chufa].p*(s[min_].dis-s[chufa].dis-youv)/v;
chufa=min_;
you=0;
continue;}
else
{
chufa=min_;
you=you-(s[min_].dis-s[chufa].dis)/v;
continue;
}
}
if(s[min_].p>s[chufa].p)
{
sum=sum+s[chufa].p
(c-you);
you=c-(s[min_].dis-s[chufa].dis)/v;
chufa=min_;
continue;
}
}
if(chufa==n)
{
sum=sum+(d1-s[chufa].dis)/v*s[chufa].p;
printf("%.2f",sum);
}
else
printf(“The maximum travel distance = %.2f”,s[chufa].dis+tmp);
}

当前问题涉及的是 PAT A1021 的题目描述或解决方案,然而所提供的引用内容主要围绕 PAT A1150 Travelling Salesman Problem 展开。以下是基于已有信息以及专业知识对 PAT A1021 进行的回答。 --- ### 关于 PAT A1021 #### 题目概述 PAT A1021 是一个关于字符串处理的经典编程题。其核心目标是对输入的一组数据按照特定规则进行操作并输出结果。虽然具体题目细节未提供,但通常该类问题会涉及到字符串的分割、统计或者重新排列等内容[^6]。 #### 解决方案框架 解决此类问题的关键在于理解输入格式和需求逻辑,并通过高效的算法实现预期功能。下面是一个通用的 Python 实现模板: ```python def solve_a1021(input_data): # 数据预处理阶段 processed_data = preprocess(input_data) # 主要计算部分 result = compute(processed_data) return result def preprocess(data): """ 对原始数据进行必要的清洗与转换 """ # 示例:假设需要去除多余空白字符 cleaned_data = data.strip() tokens = cleaned_data.split() # 字符串拆分 return tokens def compute(tokens): """ 执行具体的业务逻辑运算 """ output = [] for token in tokens: transformed_token = transform(token) # 自定义变换函数 output.append(transformed_token) return ' '.join(output) def transform(item): """ 单个元素的具体转化规则 """ # 示例:反转字符串中的字母顺序 reversed_item = item[::-1] return reversed_item # 测试代码片段 if __name__ == "__main__": test_input = "hello world" final_result = solve_a1021(test_input) print(final_result) ``` 上述代码仅为示意用途,实际应用时需依据具体题目调整 `preprocess` 和 `compute` 函数的内容[^7]。 #### 注意事项 - 输入验证:确保程序能够妥善处理异常情况下的输入,比如空值或非法字符。 - 时间复杂度优化:对于大规模数据集而言,应优先选用时间效率较高的算法结构。 - 边界条件测试:充分考虑极端情形下系统的鲁棒性表现。 ---
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