#include<stdio.h>
char *c[] = {"ENTER","NEW","POINT","FIRST"};
char **cp[] = {c+3, c+2, c+1, c};
char ***cpp = cp;
int main()
{
printf("%s\n", **++cpp);
printf("%s\n",*--*++cpp+3);
printf("%s\n", *cpp[-2]+3);
printf("%s\n", cpp[-1][-1]+1);
return 0;
这个题还是比较严肃的,就不偏闲的了。
下图 为此题的逻辑 和关系图
解释 *c[] 为 存放 char* 类型 的 指针数组。
**cp[] 为指向 *C 的指针 指向首元素地址。
同理CPP。
}<img 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" alt="" />
此 代码逻辑严谨 请仔细分析。
1. **++cpp
解读 (++cpp) cpp指针向后移动 1*sizeof(char **) 字节 (后面省略sizeof(type)) **注意此处++cpp 存在的隐患 指针停留在了 CP 的第二个位置上
*(++cpp) 解引用 去cp数组里面的 C+2
*(*(++cpp)) 再一次解引用 即 *(c+2) == c 中 c[2] 中的 char* ==POINT
2. <span style="font-family: Arial, Helvetica, sans-serif;">*--*++cpp+3</span>
<span style="font-family: Arial, Helvetica, sans-serif;"> (++cpp) cpp指针又向后偏移一次 指向了第三个位置 对第三个位置解引用 得要值 *</span><span style="font-family: Arial, Helvetica, sans-serif;">(++cpp)==c+1 </span>
<span style="font-family: Arial, Helvetica, sans-serif;"> 接着 --*(++cpp) 是对所取的值 -- 成为 c 再接着解引用 *(--*(++cpp)) 取到C中 a[0] 位置的char* 指向了ENTER </span>
<span style="font-family: Arial, Helvetica, sans-serif;"> 再向后加 3 即是这个位置的 char* 指向首元素 E 向后偏移3位 输出%s ER</span>
<span style="font-family: Arial, Helvetica, sans-serif;">3.</span><span style="font-family: Arial, Helvetica, sans-serif;">*cpp[-2]+3</span>
<span style="font-family: Arial, Helvetica, sans-serif;"> cpp[-2] == *(cpp-2) 指针向回移动两个位置 即指向了cp的处世地址,取c+3</span>
<span style="font-family: Arial, Helvetica, sans-serif;"> *(*(cpp-2)) 再 对c+3 解引用 指向a[3] 里面的char* FIRST 同2,向后加3 输出 _________。自己试</span>
4.cpp[-1][-1]+1 == *(*(cpp-1)-1)+1
<span style="color:#ff0000;">不服自己算啊 !</span>
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</span><pre name="code" class="cpp">