[Numpy-discussion] Regression in mpl: AttributeError: incompatible shape for a non-contiguous array
Mon Oct 29 10:15:33 CDT 2012
I've tracked down the problem to this commit:
Patrick.Marsh@buxton numpy> git bisect good
c48156dfdc408f0a1e59ef54ac490cccbd6b8d73 is the first bad commit
Author: Sebastian Berg <firstname.lastname@example.org>
Date: Sun Oct 21 18:50:28 2012 +0200
API: Change Flags Updateing to allow C-/F-contiguous arrays
This changes UpdateFlags to ignore 1-dimensional axis when
setting C-/F-contiguous flags. Updates both flags always now.
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 10:04 AM, Patrick Marsh <email@example.com>wrote:
> 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.
> Patrick Marsh
> 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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