[Numpy-discussion] Numpy 1.6 schedule (was: Numpy 2.0 schedule)
Sat Mar 5 17:20:59 CST 2011
On Sat, Mar 5, 2011 at 2:43 PM, Charles R Harris
> On Sat, Mar 5, 2011 at 3:28 PM, Benjamin Root <firstname.lastname@example.org> wrote:
>> 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
>> commit d90f19abf18d59be959e04d73b3dbd7ae04b1e89
>> 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
> 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.
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the NumPy-Discussion