Charles R Harris wrote: > Travis, > > A few questions. > > 1) I can't find any systematic code testing units, although there seem > to be tests for regressions and such. Is there a place we should be > putting such tests? All tests are placed under the tests directory of the corresponding sub-package. They will only be picked up by .test(level < 10) if the file is named test_<module_name>. .test(level>10) should pick up all test files. If you want to name something different but still have it run at a test level < 10, then you need to run the test from one of the other test files that will be picked up (test_regression.py and test_unicode.py are doing that for example). > > 2) Any plans for code documentation? I documented some of my stuff > with doxygen markups and wonder if we should include a Doxyfile as > part of the package. I'm not familiar with Doxygen, but would welcome any improvements to the code documentation. > > 3) Would you consider breaking out the Converters into a separate .c > file for inclusion? The code generator seems to take care of the ordering. You are right that it doesn't matter which order the API subroutines are placed. I'm not opposed to more breaking up of the .c files, as long as it is clear where things will be located. The #include strategy is necessary to get it all in one Python module, but having smaller .c files usually makes for faster editing. It's the arrayobject.c file that is "too-large" IMHO, however. That's where I would look for ways to break it up.
The iterobject and the data-type object could be taken out, for example. -Travis ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
