[Numpy-discussion] PyTables passes all tests with NumPy at its core

[Francesc Altet]

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
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