2010/1/4, Robert Kern <robert.k...@gmail.com>: >> from tables.utilsExtension import getPyTablesVersion, getHDF5Version >> File "definitions.pxd", line 138, in tables.utilsExtension >> ValueError: numpy.dtype does not appear to be the correct type object > > You will need to rebuild PyTables using numpy 1.4.0. Pyrex does some (IMO, > overzealous) type checking. numpy 1.4.0 extends a type struct to add a > feature. > This was done in a binary compatible way except that Pyrex does an explicit > check for the size of the struct.
That's interesting. Do you know if Cython has this problem/feature too? Cheers, -- Francesc Alted ------------------------------------------------------------------------------ This SF.Net email is sponsored by the Verizon Developer Community Take advantage of Verizon's best-in-class app development support A streamlined, 14 day to market process makes app distribution fast and easy Join now and get one step closer to millions of Verizon customers http://p.sf.net/sfu/verizon-dev2dev _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
