On Fri, Jan 19, 2007 at 02:13:52PM +0000, Matt Knox wrote: > > Moving the implementation to the C-level also has its downside. To > > me, at least, Python code is much more readable and hence easier to > > maintain. > > > > Is there a way that we can implement only the speed-critical methods > > in C? > > > > Cheers > > Stéfan > > > > Implementing the whole thing in C also has the side benefit of the possibility > making a nice C level api available to these sub-classes. And I suspect the > core > numpy developers are comfortable enough with C that maintainability is > *probably* not a huge concern here.
A "nice C level api" sounds like the definition of oxymoron :) Why would we argue for more C than absolutely necessary in a Python-based library? It's not trivial to code or maintain C API based code properly. Isn't that, to some extent at least, why projects like PyPy receive so much attention? I wouldn't be surprised if such a translation of MA has many more bugs than the Python version, unless consistent and rigid unit testing is being done. Have a nice weekend! Cheers Stéfan _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
