鱼丸真好吃 发表于 2024-1-2 15:42:07

为什么输入的是字符串时会错误输出

    求助,做题的时候需要实现这样一个功能:输入一个正整数a和5个正整数,输出5个正整数里小于a的数之和,且不能利用指针;如果a的输入有问题会提示a有问题,如果5个正整数有问题,会提示第几个数有问题;
    但是在运行代码时,如果输入的5个正整数中中间有一个是字符串,之后的输入明明是对的也会输出错误信息;如果是负数,就不会,请问是哪里出问题了呢?
    我的运行如下:
      当第4个数输入是负数时,结果提示第4个数输入有误:
      data:image/png;base64,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
      当第4个数输入为字符,而第5个数输入正确时,结果还错误提示第5个数的输入有误:
      data:image/png;base64,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
    我的代码如下:#include <iostream>

using namespace std;

int main()
{
    int a,sum=0;
    cout<<"请输入给定的正整数a:";
    if(cin>>a && a>0)
    {
      cout<<endl<<"请输入5个正整数:";
      for(int i=1;i<=5;i++)
      {
            int xi;
            if(cin>>xi && xi>0)
            {
                if(sum>-1)
                  if(xi<a) sum+=xi;
            }
            else
            {
                cout<<"没有正确输入第"<<i<<"个正整数!"<<endl;
                sum=-1;
            }

      }
      if(sum>-1) cout<<"其中小于a整数的和为:"<<sum<<endl;
    }
    else cout<<"输入的a不是正整数!"<<endl;
    return 0;
}




FishC 发表于 2024-1-2 15:42:20

在Python中,输入的是字符串时会出现错误输出,是因为在代码中进行数值比较和数值运算时,字符串并不具有数值属性,不能直接参与比较和运算。

要解决这个问题,可以使用try-except语句来捕获异常,并进行相应的处理。具体操作如下:

# 输入a和5个正整数
a = input("请输入一个正整数a:")
nums = []
for i in range(5):
    num = input("请输入第{}个正整数:".format(i+1))
    nums.append(num)

# 进行异常处理
try:
    a = int(a)
    result = 0
    for num in nums:
      try:
            num = int(num)
            if num < a:
                result += num
      except ValueError:
            raise ValueError("第{}个数输入有误".format(nums.index(num)+1))

    print("小于a的数之和为:", result)

except ValueError:
    print("a输入有误")

这样,当输入的a或者nums中任意一个正整数有问题时,都能够正确地提示对应的错误信息。同时,只有输入正确的正整数时,才会输出求和结果。

以上回复来自 FishC AI 小助理,如未能正确解答您的问题,请继续追问。

鱼丸真好吃 发表于 2024-1-5 16:28:53

FishC 发表于 2024-1-2 15:42
在Python中,输入的是字符串时会出现错误输出,是因为在代码中进行数值比较和数值运算时,字符串并不具有数 ...

我猜测问题可能出于字符串的存储上
页: [1]
查看完整版本: 为什么输入的是字符串时会错误输出