Hi, I'm very happy to announce that, after several weeks of effort, PyTables is able to run its complete test suite (made of more than 3000 test units) using *NumPy* at its core (now numarray is just an optional package :-).
However, and before the new PyTables will hit the public (most probably released as PyTables 2.0), we should still find more time to add more tests (specially for numarray, which we plan to continue supporting), update manual, and making sure that the new package deploys well on every supported plaform. So there is a lot of work to be done yet, but things are in good shape. I have to say that although NumPy was an already well tested package for homogeneous data containers, PyTables has strong requirements for heterogeneous arrays as well, and most of my efforts lately have been to locate the flaws in that area and reporting them properly to the NumPy issue tracker. Fortunately, at the NumPy end there was a formidable team (and in particular, a formidable Travis Oliphant) ready for eat all bugs that I was able to provide. As a result, I'd say that NumPy is quite mature for dealing with arrays of records as well, which is great news :-) Cheers! -- >0,0< Francesc Altet http://www.carabos.com/ V V Cárabos Coop. V. Enjoy Data "-" ------------------------------------------------------------------------- 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
