1805- Betrand-Chebyshev

Description

Zplinti1 has recently learn rand() function in C/C++. He is so excited, since he finds using that function is easy and convenient. For example, if you want to generate a integer randomly from 0 to 9, he can simply write “rand()%10”.

However, rand() function can’t generate a number which is too large. The maximum number is 32767, by default. Zplinti1 is not satisfied with that!

Clever as he is, he quickly gets a way: he can multiply some rand() functions together, to get a much larger number. If he write “( rand()%10000 ) * ( rand()%10000 )”, he can get a number as large as 9999*9999.

Unfortunately, one of his friends, bearchild, soon finds the problem: some numbers might not be got using his way described above. 
Zplinti1 wants to find the minimum number that cannot be got.

More precisely, we have n numbers, from a[0] to a[n-1]. And for number a[i], it is a value randomly chosen from 0 to b[i], 
then we set X as the product of those n numbers, what is the minimum 
positive number that cannot be the value of X? 
If there is no problem with the new function, output “Good Function”.

Input

The first line of input contains a number T, indicating the number of cases. (T <=1000)

For each case, the first line is a number n (1<= n <=10,000). 
The second line contains n numbers from b[0] to b[n-1], all those numbers are positive numbers less than 1,000,000,000.
Output

For each case, output “Case #i: “ first. (i is the number of the test case, from 1 to T). 
Then output the minimum value that X cannot be, or “Good Function”, as described above.

Sample Input

4
2
2 3
2
4 5
3
4 7 11
3
1 1 2
Sample Output

Case #1: 5
Case #2: 7
Case #3: 13
Case #4: Good Function
Hint

As you can see, the maximum number zplinti1 can get is the product of b[0] to b[n-1], when each rand() function get its largest number. If the answer you get is larger than this maximum, you have to output "Good Function", and it is the only case you need to output that.




#include <iostream>
#include <vector>
#include <algorithm>
#include <cmath>

using namespace std;

bool isPrime(long long n)
{
    if(n == 2) return true;
    if(n%2 == 0) return false;
    if(n == 3) return true;
    long long i = 3;
    for(i=3;i<(long long)pow(n,0.5);i+=2)
        if(n%i==0)
            return false;
    if(i>=n)
        return true;
    return true;
}

long long findFirstPrimeNumber(long long num)
{
    long long data = num;
    bool flag = false;
    while(!flag)
    {
        if(data%2 == 0)
            data++;
        else
            data += 2;
        flag = isPrime(data);
    }
    return data;
}

int main()
{
    int total = 0;
    cin >> total;
    vector<long long> data;
    vector<long long> result;
    result.resize(total);
    for(int i=0;i<total;i++)
    {
        int n = 0 ;
        cin >> n;
        data.resize(n);
        long long MaxNumber = 0;
        for(int j=0;j<n;j++)
        {
            cin >> data[j];
            if(j == 0)
                MaxNumber = data[j];
            else
            {
                if(MaxNumber < data[j])
                    MaxNumber = data[j];
            }
        }
        /*to find the first prime number that bigger than this*/
        long long test = 0;
        test = findFirstPrimeNumber(MaxNumber);
        if(test <= n)
            result[i] = 0;
        else
            result[i] = test;
    }

    for(int k=0;k<(int)result.size();k++)
    {
        if(result[k] <= 0)
            cout << "Case #" << k+1 <<":" << "Good Function" << endl;
        else
            cout << "Case #" << k+1 <<":" << result[k] << endl;
    }
    return 0;
}



内容概要:《中文大模型基准测评2025年上半年报告》由SuperCLUE团队发布,详细评估了2025年上半年中文大模型的发展状况。报告涵盖了大模型的关键进展、国内外大模型全景图及差距、专项测评基准介绍等。通过SuperCLUE基准,对45个国内外代表性大模型进行了六大任务(数学推理、科学推理、代码生成、智能体Agent、精确指令遵循、幻觉控制)的综合测评。结果显示,海外模型如o3、o4-mini(high)在推理任务上表现突出,而国内模型如Doubao-Seed-1.6-thinking-250715在智能体Agent和幻觉控制任务上表现出色。此外,报告还分析了模型性价比、效能区间分布,并对代表性模型如Doubao-Seed-1.6-thinking-250715、DeepSeek-R1-0528、GLM-4.5等进行了详细介绍。整体来看,国内大模型在特定任务上已接近国际顶尖水平,但在综合推理能力上仍有提升空间。 适用人群:对大模型技术感兴趣的科研人员、工程师、产品经理及投资者。 使用场景及目标:①了解2025年上半年中文大模型的发展现状与趋势;②评估国内外大模型在不同任务上的表现差异;③为技术选型和性能优化提供参考依据。 其他说明:报告提供了详细的测评方法、评分标准及结果分析,确保评估的科学性和公正性。此外,SuperCLUE团队还发布了多个专项测评基准,涵盖多模态、文本、推理等多个领域,为业界提供全面的测评服务。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值