[Numpy-discussion] Regression in mpl: AttributeError: incompatible shape for a non-contiguous array
Mon Oct 29 10:04:08 CDT 2012
Turns out it isn't the commit I thought it was. I'm currently going through
a git bisect to track down the actual commit that introduced this bug. I'll
post back when I've found it.
Ph.D. Candidate / Liaison to the HWT
School of Meteorology / University of Oklahoma
Cooperative Institute for Mesoscale Meteorological Studies
National Severe Storms Laboratory
On Mon, Oct 29, 2012 at 9:43 AM, Benjamin Root <firstname.lastname@example.org> wrote:
> On Mon, Oct 29, 2012 at 10:33 AM, Sebastian Berg <
> email@example.com> wrote:
>> 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?
> The original reporter of the bug dug into the commit list and suspects it
> was this one:
> 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
> NumPy-Discussion mailing list
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