I think this has been a very helpful and useful discussion. I'm going to attempt to summarize this discussion and propose some ways forward here.
The impetus for this discussion is that PyCXX seems to be not adequately maintained. It is difficult to build matplotlib with "vanilla" PyCXX in certain configurations. (This history sort of predates this thread). So we have some options: 1) One way forward is to offer to take ownership of the PyCXX project. (I'm not using the "f" word here... I'd much prefer to just become more involved upstream somehow). I don't think this would be considerable additional work, as most of that work has been done in matplotlib for some time anyway. To the extent that it needs new features, it would be killer to add support for Numpy so Numpy no longer required manual reference counting. I had initially dismissed this approach, as I seem to be in the minority in liking PyCXX -- I happen to think it's fundamentally an extremely good approach to the problem: it helps with reference counting errors, but otherwise mostly stays out of the way. But I'd like to remove any one person as a bottleneck by choosing something that's more preferred all around. 2) Move to a different wrapping mechanism of some sort. While Cython is the clear choice for a third-party Python/C wrapping tool, it seems to be polarizing. (I won't attempt to repeat or summarize, but I think good points have been made on either side of the argument). I think it's ok to allow Cython to be used in matplotlib, given that we include both the Cython source and the generated C in the source repository such that matplotlib can be built without Cython installed. There are many other projects doing this that can provide best practices for us. I don't think, however, that we can or should require that all wrapping is done with Cython. I think we should allow raw Python/C API where it is most appropriate (and that is mainly in the case of wrapping third-party libraries, such as the png module and the macosx module which is already raw Python/C API). What I wouldn't want to see is the use of more than one wrapping tool, if only for reasons of proliferation of dependencies. (I count the Python/C API as "free" since it's always available anyway). I haven't seen in this discussion anyone really pushing for any of the alternatives (SWIG, Boost.Python, etc.) in any event. Note also, the goal is to deal with the PyCXX "problem", not rewrite large chunks of our existing and well-tested C/C++ code base in Cython, unless someone sees a real clear benefit to doing that for a particular module and is highly motivated to do the work. This is primarily about refactoring the code so that the interface layer between Python and C is separated and then replaced with either Cython or raw Python/C API using the most appropriate tool for the job. 3) Any other options...? Cheers, Mike On 12/04/2012 05:33 PM, Eric Firing wrote: > On 2012/12/04 12:07 PM, Damon McDougall wrote: >> On Mon, Dec 3, 2012 at 12:12 PM, Chris Barker - NOAA Federal >> <[email protected]> wrote: >>> generated code is ugly and hard to maintain, it is not designed to be >>> human-readable, and we wouldn't get the advantages of bug-fixes >>> further development in Cython. >> As far as I'm concerned, this is an argument against Cython. > Nonsense. It is an argument against the idea of maintaining the > generated code directly, rather than maintaining the cython source code > and regenerating the C code as needed. That idea never made any sense > in the first place. I doubt that anyone follows it. Chris already > pointed this out. Would you maintain the assembly code generated by > your C++ compiler? Do you consider the fact that this is unreadable and > unmaintainable a reason to avoid using that compiler, and instead to > code directly in assembly? > >> I've had to touch the C/C++/ObjC codebase. It was not automatically >> generated by Cython and it's not that hard to read. There's almost >> certainly a C/C++/ObjC expert around to help out. There's almost >> certainly Cython experts to help out, too. There is almost certainly >> *not* an expert in Cython-generated C code that is hard to read. >> > There doesn't need to be. > >> I vote raw Python/C API. Managing reference counters is not the >> mundane task pythonistas make it out to be, in my opinion. If you know >> ObjC, you've had to do your own reference counting. If you know C, >> you've had to do your own memory management. If you know C++, you've >> had to do your own new/delete (or destructor) management. I agree not >> having to worry about reference counting is nice positive, but I don't >> think it outweighs the negatives. > You have completely misrepresented the negatives. > >> It seems to me that Cython is a 'middle-man' tool, with the added >> downside of hard-to-maintain under-code. >> > Please, if you don't use Cython yourself, and therefore don't know it > well, refrain from these sorts of criticisms. In normal cython use, one > *never* modifies the code it generates. In developing with cython, one > *might* read this code to find out what is going on, and especially to > find out whether one inadvertently triggered a call to the python API by > forgetting to declare a variable, for example. This is pretty easy, > because the comments in the generated code show exactly which source > line has generated each chunk of generated code. Context is included. > It is very nicely done. > > Eric > > ------------------------------------------------------------------------------ > LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial > Remotely access PCs and mobile devices and provide instant support > Improve your efficiency, and focus on delivering more value-add services > Discover what IT Professionals Know. Rescue delivers > http://p.sf.net/sfu/logmein_12329d2d > _______________________________________________ > Matplotlib-devel mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel ------------------------------------------------------------------------------ LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial Remotely access PCs and mobile devices and provide instant support Improve your efficiency, and focus on delivering more value-add services Discover what IT Professionals Know. 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