[Numpy-discussion] Numpy 1.4 MaskedArray bug?

[Charles R Harris]

On Tue, Jan 12, 2010 at 11:32 AM, Pauli Virtanen <pav at iki.fi> wrote:

> ti, 2010-01-12 kello 12:51 -0500, Pierre GM kirjoitti:
> [clip]
> > >>>> a = numpy.ma.MaskedArray([[1,2,3],[4,5,6]])
> > >>>> numpy.ma.sum(a, 1)
> > > Traceback (most recent call last):
> > >  File "<stdin>", line 1, in <module>
> > >  File
> > >
> "/usr/lib64/python2.5/site-packages/numpy-1.4.0-py2.5-linux-x86_64.egg/n
> > > umpy/ma/core.py", line 5682, in __call__
> > >    return method(*args, **params)
> > >  File
> > >
> "/usr/lib64/python2.5/site-packages/numpy-1.4.0-py2.5-linux-x86_64.egg/n
> > > umpy/ma/core.py", line 4357, in sum
> > >    newmask = _mask.all(axis=axis)
> > > ValueError: axis(=1) out of bounds
> >
> > Confirmed.
> > Before I take full blame for it, can you try the following on both 1.3
> and 1.4 ?
> > >>> np.array(False).all().sum(1)
>
> Oh crap, it's mostly my fault:
>
> http://projects.scipy.org/numpy/ticket/1286
> http://projects.scipy.org/numpy/changeset/7697
>
> http://projects.scipy.org/numpy/browser/trunk/doc/release/1.4.0-notes.rst#deprecations
>
> Pretty embarassing, as very simple things break, although the test suite
> miraculously passes...
>
> > Back to your problem: I'll fix that ASAIC, but it'll be on the SVN.
> Meanwhile, you can:
> > * Use -1 instead of 1 for your axis.
> > * Force the definition of a mask when you define your array with
> masked_array(...,mask=False)
>
> Sounds like we need a 1.4.1 out at some point not too far in the future,
> then.
>
>
If so, then it should be sooner rather than later in order to sync with the
releases of ubuntu and fedora. Both of the upcoming releases still use
1.3.0, but that could change...

Chuck
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