基于Visual C++2013拆解世界五百强面试题--题4-double转换成字符串

时间:2023-03-09 09:58:44
基于Visual C++2013拆解世界五百强面试题--题4-double转换成字符串
请用C语言实现将double类型数据转换成字符串,再转换成double类型的数据、int类型的数据

想要完成题目中的功能,首先我们的先对系统存储double的格式有所了解。

浮点数编码转换使用的是IEEE的编码标准。

类型
存储位数
偏置值
数符(S)
阶码(E)
尾数(M)
总位数
十六进制
十进制
短浮点数(Single,float)
1位
8位
23位
32位
7FH
+127
长浮点数(Double)
1位
11位
52位
64位
3FFH
+1023
临时浮点数(扩展精度浮点数)
1位
15位
64位
80位
3FFFH
+16383

如上图可以看到double类型占8字节空间,最高位存储符号位,

然后接下来11位存储(1023+指数位),剩下的52位存储的科学计数法的位数,

整数部分默认为1,所以被省略了

下面用实例解析一下:

浮点数 -9988777.25  是负数,所以最高位为1

然后将9988777.25转换成二进制 100110000110101010101001.01,

然后转换成科学计数就是1.0011000011010101010100101 * 2^23,那么指数就是23, 接下来11位是1023+23=1046  

那么剩余的52位存储的尾数是0011000011010101010100101,不足52位在后门补0,多于52位的舍弃

完整的64位存储值应该是这样的:   1   10000010110   0011000011010101010100101 000000000000000000000000000    =  0xC1630D5528000000

下面我们按照国际惯例用vs2013建个工程,里面输入代码,在 double db = -9988777.25处打个断点,

F5调试起来,然后在内存窗口查看变量db, 可以看到如下图   0x002BFBA8  00 00 00 28 55 0d 63 c1

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" alt="" />

可以看到正好和我们推算的值0xC1630D5528000000相等。

实现代码的时候发现这个花费的时间有点长啊,感觉不对劲,再看看题目发现我跑题了,

题目中说用C语言实现,没有限定我们使用C标准库,那么我们用ecvt这个函数来获取他的符号位和指数,

简单处理一下字符串中的小数点就行了。下面上代码:

#include <stdio.h>
#include <stdlib.h>
#include <string.h> //double 转换成 字符串 double to ascii
char* dtoa(double Val, int NumberOfDigits, int *Dec, int *Sign)
{
//NumberOfDigits是精度,Dec是指数,Sign表示是否有符号
char *pdouble = ecvt(Val, NumberOfDigits, Dec, Sign); //添加小数点到字符串中
int i = 0;
for (i = strlen(pdouble); i >= *Dec; i--)
{
pdouble[i + 1] = pdouble[i];
}
pdouble[i+1] = '.'; //如果是负数添加负号到字符串前面
if (*Sign)
{
for (i = strlen(pdouble); i > 0; i--)
{
pdouble[i + 1] = pdouble[i];
}
pdouble[0] = '-';
}
return pdouble;
} int main()
{
int Dec = 0, Sign = 0;
char *p;
double db;
int idb; //double类型转换成字符串
p = dtoa(9988777.25, 10, &Dec, &Sign); //字符串转换成double
db = atof(p); //字符串转换成int
idb = atoi(p); printf("%s %lf %d\n",p, db, idb); return 0;
}

运行效果如下:

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" 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原题我已经上传到这里了http://download.****.net/detail/yincheng01/6461073 ,

解压密码为 c.itcast.cn