售罄!!!

一键标记为已读

买盒子

我以为手游

怎么不是阿里云

现在的流量也用不完呀

@ChatGPT
下面c语言代码，使用strncpy替换strcpy，使用snprintf替换sprintf
void replace_all(char *str, const char *orig, const char *rep) {
static char buffer[4096];
char *p = str;
size_t orig_len = strlen(orig);
size_t rep_len = strlen(rep);
while ((p = strstr(p, orig))) {
strncpy(buffer, str, p - str);
buffer[p - str] = '\0';
sprintf(buffer + (p - str), "%s%s", rep, p + orig_len);
strcpy(str, buffer);
p = str + (p - str) + rep_len;
}
}

@ChatGPT 请基于下面的代码修改
char linearToALawSample(short sample)
{
int sign;
int exponent;
int mantissa;
int s;
sign = ((~sample) >> & 0x80;
if (!(sign == 0x80))
{
sample = (short)-sample;
}
if (sample > cClip)
{
sample = cClip;
}
if (sample >= 256)
{
exponent = (int)aLawCompressTable[(sample >> & 0x7F];
mantissa = (sample >> (exponent + 3)) & 0x0F;
s = (exponent << 4) | mantissa;
}
else
{
s = sample >> 4;
}
s ^= (sign ^ 0x55);
return (char)s;
}

int g711a_Encode(char *src, int offset, int len, char *res)
{
int j = offset;
int count = len / 2;
short sample = 0;
int i = 0;
for (i = 0; i < count; i++)
{
sample = (short)(((src[j++] & 0xff) | (src[j++]) << 8));
res[i] = linearToALawSample(sample);
}
return count;
}

@ChatGPT 请基于下面的代码修改
char linearToALawSample(short sample)
{
int sign;
int exponent;
int mantissa;
int s;
sign = ((~sample) >> & 0x80;
if (!(sign == 0x80))
{
sample = (short)-sample;
}
if (sample > cClip)
{
sample = cClip;
}
if (sample >= 256)
{
exponent = (int)aLawCompressTable[(sample >> & 0x7F];
mantissa = (sample >> (exponent + 3)) & 0x0F;
s = (exponent << 4) | mantissa;
}
else
{
s = sample >> 4;
}
s ^= (sign ^ 0x55);
return (char)s;
}

int g711a_Encode(char *src, int offset, int len, char *res)
{
int j = offset;
int count = len / 2;
short sample = 0;
int i = 0;
for (i = 0; i < count; i++)
{
sample = (short)(((src[j++] & 0xff) | (src[j++]) << 8));
res[i] = linearToALawSample(sample);
}
return count;
}

@ChatGPT 请基于下面的代码做修改
char linearToALawSample(short sample)
{
int sign;
int exponent;
int mantissa;
int s;
sign = ((~sample) >> & 0x80;
if (!(sign == 0x80))
{
sample = (short)-sample;
}
if (sample > cClip)
{
sample = cClip;
}
if (sample >= 256)
{
exponent = (int)aLawCompressTable[(sample >> & 0x7F];
mantissa = (sample >> (exponent + 3)) & 0x0F;
s = (exponent << 4) | mantissa;
}
else
{
s = sample >> 4;
}
s ^= (sign ^ 0x55);
return (char)s;
}

int g711a_Encode(char *src, int offset, int len, char *res)
{
int j = offset;
int count = len / 2;
short sample = 0;
int i = 0;
for (i = 0; i < count; i++)
{
sample = (short)(((src[j++] & 0xff) | (src[j++]) << 8));
if (i % 2 == 0)
{
res[i / 2] = linearToALawSample(sample);
}
}
return count;
}

@ChatGPT 这个实现看起来并不是很完整，能否再优化下

@ChatGPT 用C语言实现 16K PCM数据转 8K G711A

阿里的资源不对，都发好几次了

@ChatGPT
写一篇关于 一种基于摄像头的花草种植方案 的专利，按照如下模块陈述：
1.做这项发明之前该技术现状的详细描述
2.请用一段话描述本发明相对于现有技术的改进之处
3.指出背景技术在哪些地方存在哪些缺陷和不足
4.通过怎样的技术手段和方法解决的上述技术问题

@ChatGPT

什么操作，难道诈骗只用贵阳的卡

上海无货

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天天等你的更新