[Numpy-discussion] Numpy 1.6 schedule (was: Numpy 2.0 schedule)

[Benjamin Root]

On Sat, Mar 5, 2011 at 7:44 AM, Pauli Virtanen <pav at iki.fi> 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))

and

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
commit d90f19abf18d59be959e04d73b3dbd7ae04b1e89
Author: Mark Wiebe <mwwiebe at gmail.com>
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
report.

Ben Root
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