[Numpy-discussion] rc2 for NumPy 1.4.1 and Scipy 0.7.2

Charles R Harris charlesr.harris@gmail....
Wed Apr 14 08:36:00 CDT 2010


On Wed, Apr 14, 2010 at 7:08 AM, Francesc Alted <faltet@pytables.org> wrote:

> A Sunday 11 April 2010 11:09:53 Ralf Gommers escrigué:
> > Hi,
> >
> > I am pleased to announce the second release candidate of both Scipy 0.7.2
> > and NumPy 1.4.1, please test them.
> >
> > The issues reported with rc1 should be fixed, and for NumPy there are now
> > Python 2.5 binaries as well. For SciPy there will be no 2.5 binaries -
> > because 0.7.x is built against NumPy 1.2 it does not work on OS X 10.6,
> and
> > on Windows I see some incomprehensible build failures.
> >
> > Binaries, sources and release notes can be found at
> > http://www.filefactory.com/f/4452c50056df8bba/ (apologies for the flashy
> >  ads again).
>
> I've had a try at the new 1.4.1rc2 and my existing binaries that were
> linked
> with 1.3.0 runs all the tests without difficulty (so ABI compatibility
> seems
> good), but every time that a Cython extension is loaded, I get the next
> warning:
>
> /home/faltet/PyTables/pytables/trunk/tables/__init__.py:56: RuntimeWarning:
> numpy.dtype size changed, may indicate binary incompatibility
>  from tables.utilsExtension import getPyTablesVersion, getHDF5Version
> /home/faltet/PyTables/pytables/trunk/tables/file.py:43: RuntimeWarning:
> numpy.dtype size changed, may indicate binary incompatibility
>  from tables import hdf5Extension
> /home/faltet/PyTables/pytables/trunk/tables/link.py:32: RuntimeWarning:
> numpy.dtype size changed, may indicate binary incompatibility
>  from tables import linkExtension
> /home/faltet/PyTables/pytables/trunk/tables/table.py:38: RuntimeWarning:
> numpy.dtype size changed, may indicate binary incompatibility
>
> I'm using current stable Cython 12.1.  Is the warning above intended or I'm
> doing something wrong?
>
>
I believe Cython decided to issue a warning instead of bailing, which makes
it usable but constantly annoying. The warning can probably be caught in the
__init__ but it would be nice to have some sort of cython  flag that would
disable it completely.

Chuck
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