[Numpy-discussion] Numpy 1.6 schedule (was: Numpy 2.0 schedule)
Sat Mar 5 16:28:10 CST 2011
On Sat, Mar 5, 2011 at 7:44 AM, Pauli Virtanen <email@example.com> wrote:
> On Fri, 04 Mar 2011 22:58:14 -0600, Benjamin Root wrote:
> > I recently had to fix an example in matplotlib where there was a 1xN
> > array being assigned to a 1-D slice of a numpy array. It used to work,
> > but it now doesn't. I don't know if this was intended or not, though.
> Probably not -- please file a bug report. If you can also point to a
> Numpy version in which it worked, that would also be nice.
I decided to give git bisect a try. In testing this, I tried two things:
a = np.empty((20,))
a[:] = np.random.random((1, 20))
a[:] = np.random.random((20, 1))
These both currently fail with the same exception message. If I check out
and build v1.5.0, the former works, but the latter does not. Going back to
v1.4.0, and the latter still doesn't work. Maybe this really shouldn't be
considered a bug, and rather a more consistent behavior?
By the way, git bisect says that the winner is:
d90f19abf18d59be959e04d73b3dbd7ae04b1e89 is the first bad commit
Author: Mark Wiebe <firstname.lastname@example.org>
Date: Mon Jan 17 18:26:12 2011 -0800
ENH: core: Change PyArray_MoveInto to use the new iterator as well
:040000 040000 a23fbcff385fca9704a5313e81217a6d80e3512c
09b684bd8893e44405534fedad165ce85e751019 M numpy
If we agree that this is still a bug and not a feature, I will file a
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