鬼姬丶神山识 发表于 2024-3-1 20:22:34

666

Hayd 发表于 2024-3-2 09:40:30

{:10_269:}

ice-cream0_0 发表于 2024-3-2 09:42:02

6

赫赫啊 发表于 2024-3-2 15:29:41

1

zhangq-qq 发表于 2024-3-2 16:21:15


#include <io.h>
#include <direct.h>
#include <stdio.h>
#include <string.h>
#include <stdlib.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("目前您总写了%ld行代码!\n\n",total);
    system("pause");

    return 0;
   
}

Jee-7 发表于 2024-3-2 16:48:08

0.CPU只懂二进制的0和1
1.机器码即机器语言
2.编译
3.编译型语言是将源代码被编译成机器代码,就可以被CPU执行,解释型语言不直接编译成机器代码,而是将源代码编译为中间代码,然后发给解释器,由解释器逐句翻译给CPU
4.不能
5.解释型语言不直接将源代码编译成机器代码,而是将源代码编译为中间代码,然后发给解释器,由解释器逐句翻译给CPU
6.将点横组合对着莫斯密码表翻译成铭文的过程

Nature_ 发表于 2024-3-2 17:41:16

0 计算机只看得懂0和1
2汇编语言
3编译型代码需要编译,解释型代码转换为中间码
4不一定
5转换为中间码
6查表,摩斯密码编码表
7???

空白旅行者 发表于 2024-3-2 18:53:26

1

ikangpu 发表于 2024-3-2 19:31:14

xujiu9 发表于 2024-3-2 22:45:18

0. 为什么我们说计算机其实是“二傻子”?
计算机只懂得二进制的0和1

1. CPU 唯一认识的语言是什么语言?
编程语言

2. C 语言编写的源代码转换为汇编语言的过程叫什么?
编译

4. 在 Linux 系统上用 C 语言编译的可执行程序,是否能在 Windows 系统上执行?
可以

5. 解释型编程语言是如何实现跨平台的?
解释型语言将源代码转化为中间代码,然后发送给解释器,由解释器逐句翻译给CPU执行

6. 莫斯密码的原理其实是什么?
查表

7. 视频中小甲鱼“故弄玄虚”的那段密文还原后是什么内容(中文)?
q i n m e n亲们趁敌人吃饭时发动进攻 ...?
c h e n d
i r e n c
h i f a n
s h i f
a d o n g
j i n g o n g

uferm 发表于 2024-3-3 10:45:02

i

TG6 发表于 2024-3-3 12:44:50

{:5_92:}

wogany 发表于 2024-3-3 13:40:28

0.因为计算机只能识别0和1
1.机器码
2.编译
3.直接执行和间接执行
4.可以
5.通过解释器
6.编码和解密
7.亲们,趁机敌人吃饭时,发动进攻

lws666 发表于 2024-3-3 13:53:54

1.机器·语言

wogany 发表于 2024-3-3 14:44:41

本帖最后由 wogany 于 2024-3-3 14:49 编辑

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

鼓起一只猫 发表于 2024-3-3 15:21:15

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王928398 发表于 2024-3-3 16:37:00

w

Fireluo 发表于 2024-3-3 18:15:28

答案

bingbing11 发表于 2024-3-3 20:23:07

0. 为什么我们说计算机其实是“二傻子”?4g<+05O
计算机的“大脑”是 CPU,CPU 负责计算机大部分日常的计算功能,而 CPU 原理上只认识 0 和 1。
1. CPU 唯一认识的语言是什么语言?
机器语言
2. C 语言编写的源代码转换为汇编语言的过程叫什么
1. 预处理 -> 2.词法分析 -> 3.语法分析 -> 4.语义分析 -> 5.优化 -> 6.链接
3. 编译型语言和解释型语言的本质区别是什么?
U编译型语言是运行二进制内容,所以一旦CPU指令系统改变,那么之前的二进制文件可能运行不了。 比如,如果到其他硬件平台上运行,就可能出现错误,就需要根据该平台重新编译出新的二进制文件。 所以可移植性、平台兼容性比价差。 而解释型语言则没有弄成什么二进制内容,而是在需要的时候才开始编译、运行。
4. 在 Linux 系统上用 C 语言编译的可执行程序,是否能在 Windows 系统上执行?
不能。 因为可执行文件在执行之前,操作系统要有一些准备工作,因为不同的操作系统,准备工作是不同的,所以可执行文件的格式不完全相同。 比如 Windows 上大部分可执行文件为 PE 格式,而 Linux 上大部分可执行文件为 ELF 格式。
5. 解释型编程语言是如何实现跨平台的?
1.java虚拟机可以理解为各个平台的解释器,和自己封装的系统调用。 2.go语言通过交叉编译转换成平台相关指令,通过某种方式(没有深入研究)提供统一的系统调用接口。 3.javascript 是解释型语言,本身就是平台无关的。 4.C语言在各个平台都有编译器,通过标准库函数保证可移植性。
6. 莫斯密码的原理其实是什么?
莫斯密码使用不同长度的点和线来表示字母、数字和标点符号。 其中,点的时间长度为一单位,线的时间长度为三单位。 密码之间的时间间隔为一单位,不同字符的时间间隔为三单位,不同单词的时间间隔为七单位。 莫斯密码的编码规则如下: 1.英文字母的编码是由点和线的组合表示,而数字和标点符号则用特定的密码表示。 (本文中不涉及网址链接,所有信息均为作者原创) 莫斯密码编码原理剖析 莫斯密码(Morse code)是一种以电报为基础的字符编码系统,它使用不同长度的点(·)和线(—)表示不同的字母、数字和标点符号。
7. 视频中小甲鱼“故弄玄虚”的那段密文还原后是什么内容(中文)?

余先生668 发表于 2024-3-3 21:24:42

是什么
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