Hi,
When Numpy 1.20 was released, I discovered numpy.typing and its documentation
https://numpy.org/doc/stable/reference/typing.html
I know that it is very new but I'm a bit lost. A good API to describe Array
type would be useful not only for type checkers but also for Python
accelerators usin
Hello again,
Am Mo., 15. Feb. 2021 um 16:57 Uhr schrieb Sebastian Berg
:
>
> On Mon, 2021-02-15 at 10:12 +0100, Friedrich Romstedt wrote:
> > Last week I updated my example code to be more slim. There now
> > exists
> > a single-file extension module:
> > https://github.com/friedrichromstedt/bugh
I've reproduced the error you've described and got rid of it without
valgrind.
Those two lines are enough to avoid the segfault.
But feel free to find it yourself :)
Best regards,
Lev
On Tue, Feb 16, 2021 at 5:02 PM Friedrich Romstedt <
friedrichromst...@gmail.com> wrote:
> Hello again,
>
> Am
On Tue, Feb 16, 2021 at 10:20 AM PIERRE AUGIER <
pierre.aug...@univ-grenoble-alpes.fr> wrote:
> Hi,
>
> When Numpy 1.20 was released, I discovered numpy.typing and its
> documentation https://numpy.org/doc/stable/reference/typing.html
>
> I know that it is very new but I'm a bit lost. A good API t
Hi Lev,
Am Di., 16. Feb. 2021 um 11:50 Uhr schrieb Lev Maximov :
>
> I've reproduced the error you've described and got rid of it without valgrind.
> Those two lines are enough to avoid the segfault.
Okay, good to know, I'll try it! Thanks for looking into it.
> But feel free to find it yourself
I'm getting a generally lukewarm not negative response. Should we put it to
a vote?
- Joe
On Fri, Feb 12, 2021, 16:06 Robert Kern wrote:
> On Fri, Feb 12, 2021 at 3:42 PM Ralf Gommers
> wrote:
>
>>
>> On Fri, Feb 12, 2021 at 9:21 PM Robert Kern
>> wrote:
>>
>>> On Fri, Feb 12, 2021 at 1:47 PM
On Tue, 2021-02-16 at 12:40 +0100, Friedrich Romstedt wrote:
> Hi Lev,
>
> Am Di., 16. Feb. 2021 um 11:50 Uhr schrieb Lev Maximov <
> lev.maxi...@gmail.com>:
> >
> > I've reproduced the error you've described and got rid of it
> > without valgrind.
> > Those two lines are enough to avoid the segf
Hi all,
In https://github.com/numpy/numpy/issues/18407 it was reported that
there is a regression for `np.array()` and friends in NumPy 1.20 for
code such as:
np.array(["1234"], dtype=("U1", 4))
# NumPy 1.20: array(['1', '1', '1', '1'], dtype='>> np.array(["1234"], dtype="(4)U1,i")
ar
On Tue, Feb 16, 2021, at 07:49, Joseph Fox-Rabinovitz wrote:
> I'm getting a generally lukewarm not negative response. Should we put it to a
> vote?
Things here don't typically get decided by vote—I think you'll have to build
towards consensus. It may be overkill to write a NEP, but outlining a
On Tue, Feb 16, 2021 at 3:13 PM Sebastian Berg
wrote:
> Hi all,
>
> In https://github.com/numpy/numpy/issues/18407 it was reported that
> there is a regression for `np.array()` and friends in NumPy 1.20 for
> code such as:
>
> np.array(["1234"], dtype=("U1", 4))
> # NumPy 1.20: array(['1'
Hi all,
There will be a NumPy Community meeting Wednesday February 17th at 12pm
Pacific Time (20:00 UTC). Everyone is invited and encouraged to
join in and edit the work-in-progress meeting topics and notes at:
https://hackmd.io/76o-IxCjQX2mOXO_wwkcpg?both
Best wishes
Sebastian
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