求教dll文件返回字节集的方法
本帖最后由 hstangqk 于 2022-9-29 16:37 编辑想用火山写一个dll文件,里面封装一个加解密的功能,供易语言和火山调用,苦于找不到方法,用交换变量不行,想用申请内存的方式返回也不行,提供的那个内存填充,数据类型既然是字节,写指针值吧数据既然不能是字节集类,有点不知所措啊.请问下那里有这方面的教程或列子啊,如果用局部变量返回数据地址又怕返回后内部释放了,用共用变量又不支持多线程同时调用
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
截个图
按照系统API的思路写吧,由调用方申请和释放内存
参考如上
Xelloss0618 发表于 2022-9-29 21:11
按照系统API的思路写吧,由调用方申请和释放内存
参考如上
谢谢你,我要是看懂的话,这是调用两次吗?第一次取回长度,第二次才能取回数据 hstangqk 发表于 2022-9-30 10:49
谢谢你,我要是看懂的话,这是调用两次吗?第一次取回长度,第二次才能取回数据 ...
是的,很多系统API都是这样的调用方式 我有不同见解。
1/调用APIxxoo(buf,len)
2/直接返回 新的解密数据指针
3/返回的指针 前4个字节是数据长度,实际数据从第5个字节开始。
4/实际返回的内存长度=返回数据长度+4
5/再导出一个释放内存的方法。用于释放上面返回的指针。。 预分配分内存 长度 可以奢侈点,是传入尺寸*2 ,这也比多一次加密过程,节约算力。或者保底多长。。 dll如是想任何语言通用的话,只能申请内存,向里面写数据,如是EXE,DLL只需要火山自身一家调用的话,变量地址就可以还原取数据了.读指针处对象()就可以还原相关的类.
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