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

Charles R Harris charlesr.harris@gmail....
Sat Mar 5 16:43:00 CST 2011


On Sat, Mar 5, 2011 at 3:28 PM, Benjamin Root <ben.root@ou.edu> wrote:

>
>
> On Sat, Mar 5, 2011 at 7:44 AM, Pauli Virtanen <pav@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@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.
>
>
I think it is more of a feature. The assignment should probably only work if
the rhs can be broadcast to the lhs. Whatever is decided, we need to make a
test to enforce it.

Chuck
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