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

[Mark Wiebe]

On Sat, Mar 5, 2011 at 2:43 PM, Charles R Harris
<charlesr.harris at gmail.com>wrote:

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

+1 for feature. I like stricter checking in most cases.

-Mark
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