brad wrote:
I have some c++ binaries that do rather intense number computations.
They do it well and rather quickly compared to other languages (not
just Python). An example:
[EMAIL PROTECTED]:~/$ date && ./compute.cpp.o < 1_million.txt > /dev/null &&
date
Thu May 15 13:08:28 EDT 2008
Thu May 15 13:08:31 EDT 2008
[EMAIL PROTECTED]:~/$ date && python compute.py < 1_million.txt > /dev/null &&
date
Thu May 15 13:08:38 EDT 2008
Thu May 15 13:14:50 EDT 2008
In this case, c++ does one million things in 3 seconds that Python
takes more than 6 minutes to do. The one million is a minimum. At
times the computations are in the billions. This is why c++ was chosen.
However, other components can be written in a more user friendly, more
easily maintained language. We've chosen Python for this. The main
question now is how to pass the computationally heavy info to c++ from
within Pyhton. os.system is not ideal. Just wondering how other folks
do this? I have source to some of the c++ code, but some of it is in
binary from only. It can take stdin or arguments.
Thanks for any tips,
Brad
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There are lots of ways to do this. Lots of the modules you use are
written in C and callable from Python. (Including sys, os, socket, PIL,
numpy, all graphics and GUI modules, ...) And that's exactly what you
want here -- a module that you can import into Python which gives you
the ability to make calls into your C++ code. This is often called
*wrapping* your C++ library.
This is no small task, and it depends heavily on the size/complexity of
the API you wish to wrap, and whether it's C (easier) or C++(harder).
However, there are *lots* of tools to help. I'd start by looking here:
http://wiki.python.org/moin/AdvocacyWritingTasks/GlueLanguage
Good luck,
Gary Herron
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