[Numpy-discussion] Regression in mpl: AttributeError: incompatible shape for a non-contiguous array

Benjamin Root ben.root@ou....
Mon Oct 29 09:43:15 CDT 2012


On Mon, Oct 29, 2012 at 10:33 AM, Sebastian Berg <sebastian@sipsolutions.net
> wrote:

> Hey,
>
> On Mon, 2012-10-29 at 09:54 -0400, Benjamin Root wrote:
> > This error started showing up in the test suite for mpl when using
> > numpy master.
> >
> > AttributeError: incompatible shape for a non-contiguous array
> >
> > The tracebacks all point back to various code points where we are
> > trying to set the shape of an array, e.g.,
> >
> > offsets.shape = (-1, 2)
> >
> Could you give a hint what these arrays history (how it was created) and
> maybe .shape/.strides is? Sounds like the array is not contiguous when
> it is expected to be, or the attribute setting itself fails in some
> corner cases on master?
>
> Regards,
>
> Sebastian
>
>
The original reporter of the bug dug into the commit list and suspects it
was this one:

https://github.com/numpy/numpy/commit/02ebf8b3e7674a6b8a06636feaa6c761fcdf4e2d

However, it might be earlier than that (he is currently doing a clean
rebuild to make sure).

As for the history:

            offsets = np.asanyarray(offsets)
            offsets.shape = (-1, 2)             # Make it Nx2

Where "offsets" comes in from (possibly) user-supplied data.  Nothing
really all that special.  I will see if I can get stride information.

Ben Root
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