ctypes的VS C扩展 [英] ctypes vs C extension

问题描述

我用C语言编写的一个游戏项目的一些功能。这些函数被调用了很多（每秒约2000-4000倍）。该函数是用C语言编写的原始速度。

I have a few functions written in C for a game project. These functions get called quite a lot (about 2000-4000 times per second). The functions are written in C for raw speed.

现在，对我来说，有这些功能到Python的最简单的方法是使用 ctypes的。另一种方法是写一个C扩展到Python围绕这些功能（这需要相当多的额外的努力）。所以我在想，不包括DLL的初始加载，有多大 ctypes的？

Now, the easiest way for me to include these functions into Python is to use ctypes. The alternative is to write a C extension to Python around these functions (which takes quite a bit of extra effort). So I wondered, not including the initial loading of the DLL, how big is the overhead of ctypes?

我使用Python 2.7（标准CPython的释放），我不希望使用一个外部库就像用Cython。

I'm using Python 2.7 (the standard CPython release), and I do not want to use an external library like Cython.

我知道这个问题已经被问过，但我还没有看到有关这两个选项之间的性能比较多的信息。

I know this question has been asked before, but I haven't seen much information about the performance comparison between the two options.

推荐答案

我比较了C扩展与一个ctypes包装的性能。在我的特殊检验，差异约为250倍。有多个呼叫到C库，以便在ctypes的包装也被执行Python code。运行时间为C库是很短这使得对于Python code更显著的额外开销。因此，比例很可能会为你不同，但在我的情况显著。

I've compared the performance of a C extension vs. a ctypes wrapper. In my particular test, the difference was about 250x. There were multiple calls into the C library so the ctypes wrapper was also executing Python code. The running time for the C library was very short which made the extra overhead for Python code even more significant. So the ratio will likely be different for you but was significant in my case.

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