想入门的新人 发表于 2022-2-19 11:04:53

fputc输出到文件内容,与printf输出到屏幕不一样的问题


主要问题点:
ch =(char)tmp ;
printf("%c",ch);
fputc(ch,file4);
输出是这样的,也是我想要的
heroname:后羿
heroid:1
heroAtk:1000
herophy:200
herotype:射手
请输入你要查询的内容(退出查询请输入2):
但是写入文件以后是这样的
heroname:后羿

heroid:1

heroAtk:1000

herophy:200

herotype:射手


多了好几个换行



求助求助,感谢感谢感谢

人造人 发表于 2022-2-19 12:14:30

发完整代码

想入门的新人 发表于 2022-2-19 14:56:00

人造人 发表于 2022-2-19 12:14
发完整代码

char ch=0;
          srand(time(NULL));
          FILE *file3 =fopen("加密文件.txt","w+");
        while(1)
        {
                ch=fgetc(file2);
               
                if(!feof(file2))
                {
                        short tmp = (short)ch;
                        tmp = tmp << 4;
                //        printf("%d\n",tmp);
                        tmp = tmp | 0x8000 ;
                //        printf("%d\n",tmp);
                        tmp = tmp + rand()%16;
                //        printf("%d\n",tmp);
                        fprintf(file3,"%hd",tmp);
                }
                else
                break;
        }
        fclose(file3);
        file3 = NULL;
       
        //---------------------------------------------------------------------
        //文件解密
//        1000 0100 1100 0110<< 1
//        0000 1001 1000 1100       >> 5
//        0000 0000 0100 1100
       
        file3 = fopen("加密文件.txt","r");
        if(!file3)
        {
                perror("");
                return -1;
        }
        FILE *file4 = fopen("解密文件.txt","w+");
        if(!file4)
        {
                perror("");
                return -1;
        }
        while(!feof(file3))
        {
                short tmp;
                fscanf(file3,"%hd",&tmp);
                        tmp = tmp << 1;
                        tmp = tmp >> 5;       
                        ch =(char)tmp ;
                        printf("%c",ch);
                        fputc(ch,file4);
        }
        fclose(file4);
        file4 = NULL;

人造人 发表于 2022-2-19 17:30:32

想入门的新人 发表于 2022-2-19 14:56


发完整代码

想入门的新人 发表于 2022-2-23 08:58:07

人造人 发表于 2022-2-19 17:30
发完整代码


这里问题在 写入文件的内容每一行都多了一个换行



#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <time.h>

//CR:Carriage Return,对应ASCII中转义字符\r,表示回车
//
//LF:Linefeed,对应ASCII中转义字符\n,表示换行
//
//CRLF:Carriage Return & Linefeed,\r\n,表示回车并换行
//
//众所周知,
//
//Windows操作系统采用两个字符来进行换行,即CRLF;
//
//Unix/Linux/Mac OS X操作系统采用单个字符LF来进行换行;
//
//另外,MacIntosh操作系统(即早期的Mac操作系统)采用单个字符CR来进行换行。
int main()
{
        FILE *file1 = fopen("原文件.txt","rb");
        FILE *file2 = fopen("新文件.txt","wb+");
        if(!file1||!file2)
        {
                perror("");
                return -1;
        }
       
        char buf ="";
        while(fgets(buf,sizeof(buf),file1)!=NULL)        //获取有效信息
        {
                //printf("[%s]\n",buf);        // 打印显示乱码 ,将txt文本编码改成 ANSI
                for(int i=0;buf!='\0';i++)
                {
                       
                       if(buf==':')//将有效信息存入 新文件
                        {
                        //fputs()可以指定输出的文件流,不会输出多余的字符;puts()只能向 stdout 输出字符串,而且会在最后自动增加换行符。
                                int n=fputs(buf,file2);       
                               
                        }       
                }
       }
        //        fflush 强行将缓冲中的数据同步到硬盘上去
        //fflush(file2);
        //        fclose 文件关闭前,会自动将缓冲中数据同步到硬盘
          fclose(file2);
          file2 = NULL;       
          file2 = fopen("新文件.txt","rb");
          if(!file2)
        {
                perror("");
                return -1;
        }
          // 文件加密
//          0000 0000 0100 1100        << 4
//          0000 0100 1100 0000   | 1000 0000 0000 0000将数字全置为负数
//          1000 0100 1100 0000        + 0000~1111(0-15)
//          1000 0100 1100 0110
          
          char ch=0;
          srand(time(NULL));
          FILE *file3 =fopen("加密文件.txt","w+");
        while(1)
        {
                ch=fgetc(file2);
               
                if(!feof(file2))
                {
                        short tmp = (short)ch;
                        tmp = tmp << 4;
                //        printf("%d\n",tmp);
                        tmp = tmp | 0x8000 ;
                //        printf("%d\n",tmp);
                        tmp = tmp + rand()%16;
                //        printf("%d\n",tmp);
                        fprintf(file3,"%hd",tmp);
                }
                else
                break;
        }
        fclose(file3);
        file3 = NULL;
       
        //---------------------------------------------------------------------
        //文件解密
//        1000 0100 1100 0110<< 1
//        0000 1001 1000 1100       >> 5
//        0000 0000 0100 1100
       
        file3 = fopen("加密文件.txt","r");
        if(!file3)
        {
                perror("");
                return -1;
        }
        FILE *file4 = fopen("解密文件.txt","w");
        if(!file4)
        {
                perror("");
                return -1;
        }
        while(!feof(file3))
        {
                short tmp;
                fscanf(file3,"%hd",&tmp);
                        tmp = tmp << 1;
                        tmp = tmp >> 5;       
                        ch =(char)tmp ;
                        printf("%c",ch);
                        fputc(ch,file4);
        }
        fclose(file4);
        file4 = NULL;
        //--------------------------------------------------------------------------
        //        查询信息
        char newbuf=" ";
        while(1)
        {
                printf("请输入你要查询的内容(退出查询请输入2):");
                fgets(newbuf,sizeof(newbuf),stdin);
                newbuf='\0';
        //        printf("[%s]",newbuf);
                int i=1;
                fseek(file2,0,SEEK_SET);
                if(newbuf=='2')
                {
                        break;
                }       
                while(fgets(buf,sizeof(buf),file2)!=NULL)
                {
               
                        if(!strncmp(newbuf,buf,strlen(newbuf)))
                        {
                                i=0;
                                printf("%s",(char *)buf+strlen(newbuf)+1);
                                break;
                        }
                }
                if(i)
                printf("抱歉,未查询到!\n");
        }
        fclose(file1);
        fclose(file2);
        system("pause");
        return 0;
}

人造人 发表于 2022-2-23 12:05:22

想入门的新人 发表于 2022-2-23 08:58
这里问题在 写入文件的内容每一行都多了一个换行

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <time.h>

// CR:Carriage Return,对应ASCII中转义字符\r,表示回车
// LF:Linefeed,对应ASCII中转义字符\n,表示换行
// CRLF:Carriage Return & Linefeed,\r\n,表示回车并换行
// 众所周知,
// Windows操作系统采用两个字符来进行换行,即CRLF;
// Unix/Linux/Mac OS X操作系统采用单个字符LF来进行换行;
// 另外,MacIntosh操作系统(即早期的Mac操作系统)采用单个字符CR来进行换行。

int main() {
    FILE *file1 = fopen("原文件.txt", "rb");
    FILE *file2 = fopen("新文件.txt", "wb+");
    if(!file1 || !file2) {
      perror("");
      return -1;
    }

    //char buf = "";
    char buf;   // 不需要初始化吧?
    while(fgets(buf, sizeof(buf), file1) != NULL) //获取有效信息
    {
      // printf("[%s]\n",buf);      // 打印显示乱码 ,将txt文本编码改成 ANSI
      for(int i = 0; buf != '\0'; i++) {
            if(buf == ':') //将有效信息存入 新文件
            {
                // fputs()可以指定输出的文件流,不会输出多余的字符;puts()只能向
                // stdout 输出字符串,而且会在最后自动增加换行符。
                //int n = fputs(buf, file2);    // 这是在做什么?
            }
      }
    }
    //      fflush 强行将缓冲中的数据同步到硬盘上去
    // fflush(file2);
    //      fclose 文件关闭前,会自动将缓冲中数据同步到硬盘
    fclose(file2);

    // 下面的代码没法看了,因为没看懂上面的代码,上面的代码在做什么?
    // 把代码删减一下,突出你的问题


    //file2 = NULL;
    file2 = fopen("新文件.txt", "rb");
    if(!file2) {
      perror("");
      return -1;
    }
    // 文件加密
    //          0000 0000 0100 1100      << 4
    //          0000 0100 1100 0000   | 1000 0000 0000 0000将数字全置为负数
    //          1000 0100 1100 0000      + 0000~1111(0-15)
    //          1000 0100 1100 0110

    char ch = 0;
    srand(time(NULL));
    FILE *file3 = fopen("加密文件.txt", "w+");
    while(1) {
      ch = fgetc(file2);

      if(!feof(file2)) {
            short tmp = (short)ch;
            tmp = tmp << 4;
            //      printf("%d\n",tmp);
            tmp = tmp | 0x8000;
            //      printf("%d\n",tmp);
            tmp = tmp + rand() % 16;
            //      printf("%d\n",tmp);
            fprintf(file3, "%hd", tmp);
      } else
            break;
    }
    fclose(file3);
    file3 = NULL;

    //---------------------------------------------------------------------
    //文件解密
    //      1000 0100 1100 0110<< 1
    //      0000 1001 1000 1100         >> 5
    //      0000 0000 0100 1100

    file3 = fopen("加密文件.txt", "r");
    if(!file3) {
      perror("");
      return -1;
    }
    FILE *file4 = fopen("解密文件.txt", "w");
    if(!file4) {
      perror("");
      return -1;
    }
    while(!feof(file3)) {
      short tmp;
      fscanf(file3, "%hd", &tmp);
      tmp = tmp << 1;
      tmp = tmp >> 5;
      ch = (char)tmp;
      printf("%c", ch);
      fputc(ch, file4);
    }
    fclose(file4);
    file4 = NULL;
    //--------------------------------------------------------------------------
    //      查询信息
    char newbuf = " ";
    while(1) {
      printf("请输入你要查询的内容(退出查询请输入2):");
      fgets(newbuf, sizeof(newbuf), stdin);
      newbuf = '\0';
      //      printf("[%s]",newbuf);
      int i = 1;
      fseek(file2, 0, SEEK_SET);
      if(newbuf == '2') {
            break;
      }
      while(fgets(buf, sizeof(buf), file2) != NULL) {
            if(!strncmp(newbuf, buf, strlen(newbuf))) {
                i = 0;
                printf("%s", (char *)buf + strlen(newbuf) + 1);
                break;
            }
      }
      if(i) printf("抱歉,未查询到!\n");
    }
    fclose(file1);
    fclose(file2);
    //system("pause");      // 不是所有编译环境都能用这个
    return 0;
}

想入门的新人 发表于 2022-2-23 13:44:16

人造人 发表于 2022-2-23 12:05


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:image/png;base64,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:image/png;base64,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

原文件经过加密解密后多了几行换行
我使用的是DEV c++这个软件 system(“pause”);这个可以用没问题
感谢帮助,感谢感谢

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <time.h>

int main()
{
        FILE *file1 = fopen("原文件.txt","rb");
        FILE *file2 = fopen("新文件.txt","wb+");
        if(!file1||!file2)
        {
                perror("");
                return -1;
        }
       
        char buf ="";
        while(fgets(buf,sizeof(buf),file1)!=NULL)        //获取有效信息
        {
                for(int i=0;buf!='\0';i++)
                {       
                       if(buf==':')//将有效信息存入 新文件
                        {
                                int n=fputs(buf,file2);               
                        }       
                }
       }
          fclose(file2);
          file2 = NULL;       
          file2 = fopen("新文件.txt","rb");
          if(!file2)
        {
                perror("");
                return -1;
        }
          // 文件加密
//          0000 0000 0100 1100        << 4
//          0000 0100 1100 0000   | 1000 0000 0000 0000将数字全置为负数
//          1000 0100 1100 0000        + 0000~1111(0-15)
//          1000 0100 1100 0110
          
          char ch=0;
          srand(time(NULL));
          FILE *file3 =fopen("加密文件.txt","w+");
        while(1)
        {
                ch=fgetc(file2);
               
                if(!feof(file2))
                {
                        short tmp = (short)ch;
                        tmp = tmp << 4;
       
                        tmp = tmp | 0x8000 ;
       
                        tmp = tmp + rand()%16;
       
                        fprintf(file3,"%hd",tmp);
                }
                else
                break;
        }
        fclose(file3);
        file3 = NULL;
       
        //---------------------------------------------------------------------
        //文件解密
//        1000 0100 1100 0110<< 1
//        0000 1001 1000 1100       >> 5
//        0000 0000 0100 1100
       
        file3 = fopen("加密文件.txt","r");
        if(!file3)
        {
                perror("");
                return -1;
        }
        FILE *file4 = fopen("解密文件.txt","w");
        if(!file4)
        {
                perror("");
                return -1;
        }
        while(!feof(file3))
        {
                short tmp;
                fscanf(file3,"%hd",&tmp);
                        tmp = tmp << 1;
                        tmp = tmp >> 5;       
                        ch =(char)tmp ;
                        printf("%c",ch);
                        fputc(ch,file4);
        }
        fclose(file4);
        file4 = NULL;

        fclose(file1);
        fclose(file2);
        system("pause");
        return 0;
}



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查看完整版本: fputc输出到文件内容,与printf输出到屏幕不一样的问题