新人求助带你学c带你飞第一课的课后作业,C\C++交流,技术交流,鱼C论坛

对面小G 发表于 2021-2-19 12:50:48

新人求助带你学c带你飞第一课的课后作业

本帖最后由对面小G 于 2021-2-19 13:04 编辑

我用的visual studio2017打的代码是windows
即使是把小甲鱼的代码复制上去还是不行，有十多个错误
然后在互助上看到一个解决方案说在开头加一个#define _CRT_SECURE_NO_WARNINGS
加完了错误还剩三个求大佬帮忙看看下面是代码

#define _CRT_SECURE_NO_WARNINGS
#include <io.h>
#include <direct.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>

#define MAX    256

long total;

int countLines(const char *filename);
void findAllCodes(const char *path);
void findALLFiles(const char *path);

int countLines(const char *filename)
{
   FILE *fp;
   int count = 0;
   int temp;

   if ((fp = fopen(filename, "r")) == NULL)
   {
            fprintf(stderr, "Can not open the file：%s\n", filename);
            return 0;
   }

   while ((temp = fgetc(fp)) != EOF)
   {
            if (temp == '\n')
            {
                     count++;
            }
   }

   fclose(fp);

   return count;
}

void findAllCodes(const char *path)
{
   struct _finddata_t fa;
   long handle;
   char thePath, target;

   strcpy(thePath, path);
   if ((handle = _findfirst(strcat(thePath, "/*.c"), &fa)) != -1L)
   {
            do
            {
                     sprintf(target, "%s/%s", path, fa.name);
                     total += countLines(target);
            } while (_findnext(handle, &fa) == 0);
   }

   _findclose(handle);
}

void findALLDirs(const char *path)
{
   struct _finddata_t fa;
   long handle;
   char thePath;

   strcpy(thePath, path);
   if ((handle = _findfirst(strcat(thePath, "/*"), &fa)) == -1L)
   {
            fprintf(stderr, "The path %s is wrong!\n", path);
            return;
   }

   do
   {
            if (!strcmp(fa.name, ".") || !strcmp(fa.name, ".."))
                     continue;

            if (fa.attrib == _A_SUBDIR)
            {
                     sprintf(thePath, "%s/%s", path, fa.name);
                     findAllCodes(thePath);
                     findALLDirs(thePath);
            }
   } while (_findnext(handle, &fa) == 0);

   _findclose(handle);
}

int main()
{
   char path = ".";

   printf("计算中...\n");

   findAllCodes(path);
   findALLDirs(path);

   printf("目前你总共写了 %ld 行代码！\n\n", total);
   system("pause");

   return 0;
}拜托了
下面是错误
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
错误 C2061 语法错误: 标识符“findAllCodes”          41 行

错误 C2059 语法错误:“;”                                  41 行

错误 C2059 语法错误:“<parameter-list>”             41 行

警告 C4013 “！strcmp”未定义；假设外部返回 int    75 行

对面小G 发表于 2021-2-20 23:10:58

{:10_266:}麻烦各位了

还在读书的阿梦 发表于 2021-2-21 10:06:36

你发的代码是你自己的还是小甲鱼的代码啊

对面小G 发表于 2021-2-22 15:59:56

还在读书的阿梦发表于 2021-2-21 10:06
你发的代码是你自己的还是小甲鱼的代码啊

是小甲鱼的我直接复制过来的

李京发表于 2021-2-22 19:51:54

对面小G 发表于 2021-2-22 15:59
是小甲鱼的我直接复制过来的

你不发自己的？？？
小甲鱼的肯定是没有问题的

对面小G 发表于 2021-2-22 21:20:31

李京发表于 2021-2-22 19:51
你不发自己的？？？
小甲鱼的肯定是没有问题的

小甲鱼的有问题，问题就是在vs上运行出现错误，我的也有问题，所以我才用的他的试试，但他的也编译不了，错误我都写在上面了

对面小G 发表于 2021-2-22 21:28:26

李京发表于 2021-2-22 19:51
你不发自己的？？？
小甲鱼的肯定是没有问题的

不是说代码有问题，它的代码当然没问题，问题是我用他的代码在vs2017上编译，会出现如上问题导致编译不成功，，，不太明白是什么原因，，

李京发表于 2021-2-22 21:51:04

本帖最后由李京于 2021-2-22 21:54 编辑

对面小G 发表于 2021-2-22 21:28
不是说代码有问题，它的代码当然没问题，问题是我用他的代码在vs2017上编译，会出现如上问题导致编译不成 ...

我在vs2019上试了，没有报错，
我改了两个地方

第一张图片,,在实验那个地方点右键，然后点属性
然后找到第二张图片的位置，在禁用特定警告加上4996

tRNA 发表于 2021-2-24 09:02:30

没问题呀，我这能正常运行

对面小G 发表于 2021-2-25 15:12:42

李京发表于 2021-2-22 21:51
我在vs2019上试了，没有报错，
我改了两个地方

谢谢！按照你的方法，已经解决了感谢

页: [1]

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