问题描述
我有一个使用定制 DLL 的 python 程序.此 DLL 由于堆栈溢出而崩溃.这种溢出不是由于递归函数坏了，而是由于使用 alloca() 在堆栈上进行了大量分配.
I have a python program that uses a custom-built DLL. This DLL crashes due to a stack overflow. This overflow is not due to a recursive function gone bad, but to large allocations on the stack using alloca().
我想增加堆栈大小以消除此错误.有没有办法做到这一点?
I want to increase stack size to get rid of this error. Is there any way to do this?
推荐答案
AFAIK 程序只能更改新线程或进程的堆栈大小(Windows 的 CreateThread 函数，例如).由于 Python(以及 Python 的 Win32 API)没有公开此类功能，因此您应该将堆栈分配替换为堆内存.还是有使用堆栈的特定原因?如果您真的必须使用 alloca，您可能需要创建一个单独的线程来执行 DLL 代码(我认为这太过分了).
AFAIK a program can only change the stack size of new threads or processes (Windows' CreateThread function, for example). As Python (and the Win32 API for Python) does not expose such functionality, you should rather replace the stack allocation with heap memory. Or is there a specific reason for using the stack?? If you really have to use alloca you might want to create a separate thread for execution of DLL code (which is overkill I think).
更正 - Python 允许在创建新线程时设置堆栈大小(请参阅 thread.stack_size)
Correction - Python does allow for setting the stack size when creating new threads (see thread.stack_size)
这篇关于如何增加python中的堆栈大小的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持编程学习网！