Your message dated Mon, 26 Dec 2022 21:38:03 +0000
with message-id
<CAM8zJQuRKZwELPoaEnNbev11tthsuc=xfcvrop5wnn8+2ub...@mail.gmail.com>
and subject line Re: Bug#1025788: transition: numpy
has caused the Debian Bug report #1025788,
regarding transition: numpy
to be marked as done.
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1025788: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1025788
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--- Begin Message ---
Package: release.debian.org
Severity: normal
User: release.debian....@packages.debian.org
Usertags: transition
X-Debbugs-Cc: nu...@packages.debian.org, mo...@debian.org
Control: affects -1 + src:numpy
Hello,
i would like to request a transition slot for numpy.
numpy/1.23.5 is in experimental, the autopkgtest for it are:
https://qa.debian.org/excuses.php?experimental=1&package=numpy
I gave a look at the failures and several of them are due to other reasons
(uninstallable packages and the like), others may be attributed to python3.11
being added to unstable; issues related to the newer numpy are of the type
AttributeError: module 'numpy' has no attribute 'asscalar'
which has been removed after being deprecated for 7 releases:
https://numpy.org/doc/1.22/reference/generated/numpy.asscalar.html
Please let me know when i can upload numpy/1.23.5 to unstable.
Thanks,
Sandro
--- End Message ---
--- Begin Message ---
Hi Sandro
I should have closed this bug once numpy 1:1.23.5-2 migrated. Doing
so now. Please file a new bug for discussing 1.24.0.
On Mon, 26 Dec 2022 at 00:12, Sandro Tosi <mo...@debian.org> wrote:
> In the meantime, since upstream released it, i've uploaded
> numpy/1.24.0 to experimental and the autopkgtest results are
> https://qa.debian.org/excuses.php?experimental=1&package=numpy
>
> now, there's a lot of red in there but almost all of the errors come
> in the format of
>
> AttributeError: module 'numpy' has no attribute 'X'
>
> with X being [float, int, bool, object, ...].
>
> This is because, numpy upstream in 1.24.0, finally decided to expire
> https://numpy.org/doc/stable/release/1.24.0-notes.html#:~:text=The%20deprecation%20for%20the%20aliases
> some deprecations introduced in 1.20.0
> https://numpy.org/doc/stable/release/1.20.0-notes.html#using-the-aliases-of-builtin-types-like-np-int-is-deprecated
> (released almost 2 years ago).
>
> All of those are quite straightforward to fix, since often it's just
> necessary to stop importing them from numpy and use the python native
> types.
That's a lot of breakage, but good that the fix is straightforward.
> There are handful more errors in the form of:
>
> * ValueError: setting an array element with a sequence. The
> requested array has an inhomogeneous shape after 1 dimensions. The
> detected shape was (2,) + inhomogeneous part.
> * Too many indices for array: array is 0-dimensional, but 1 were indexed
>
> which will need to be looked at in more details, likely by individual
> projects upstream.
The sooner these bugs are filed, the better.
> This additional transition seems to be comfortably in the reach for
> Bullseye and will place us in a better position to get support from
> upstream. I also anticipate that a few more patch releases (fixing
> bugs etc) for the 1.24.x series will be published before Bullseye is
> released and we would like to update numpy to them in Debian if
> reasonable.
s/Bullseye/bookworm but agreed.
> Please let me know if i can proceed with a numpy upload to unstable.
Please let's wait for a bit on this one. There's still a matplotlib
transition in flight (#1026119) that needs bugs filed and autopkgtests
fixed before it can migrate. Let's aim to do this once the initial
rebuilds for Python 3.11 as default (#1026825) have been done. In the
meantime, it would help if bugs were filed against the packages that
need updating for numpy 1.24.x.
Regards
Graham
--- End Message ---
