GNU bug report logs - #51890
Vigra: disable more failing tests on core-updates-frozen

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Package: guix-patches;

Reported by: Vivien Kraus <vivien <at> planete-kraus.eu>

Date: Tue, 16 Nov 2021 11:20:01 UTC

Severity: normal

Done: Ludovic Courtès <ludo <at> gnu.org>

Bug is archived. No further changes may be made.

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Message #17 received at 51890 <at> debbugs.gnu.org (full text, mbox):

From: Maxim Cournoyer <maxim.cournoyer <at> gmail.com>
To: Efraim Flashner <efraim <at> flashner.co.il>
Cc: Ludovic Courtès <ludo <at> gnu.org>,
 Vivien Kraus <vivien <at> planete-kraus.eu>, 51890 <at> debbugs.gnu.org
Subject: Re: bug#51890: Vigra: disable more failing tests on
 core-updates-frozen
Date: Thu, 18 Nov 2021 08:18:38 -0500
Hello,

Efraim Flashner <efraim <at> flashner.co.il> writes:

> On November 18, 2021 9:09:50 AM UTC, "Ludovic Courtès" <ludo <at> gnu.org> wrote:
>>Hi,
>>
>>Vivien Kraus <vivien <at> planete-kraus.eu> skribis:
>>
>>> From 4311c36dcd280ba385a3d0f33800428102bef0b8 Mon Sep 17 00:00:00 2001
>>> From: Vivien Kraus <vivien <at> planete-kraus.eu>
>>> Date: Tue, 16 Nov 2021 08:18:42 +0000
>>> Subject: [PATCH] gnu: vigra: Disable more failing tests.
>>>
>>> * gnu/packages/image.scm (vigra) [phase disable-broken-tests]: Also disable
>>> test2, test3, test_arraytypes and test_multidef.
>>
>>Looks like it was worked around by disabling NumPy support in Vigra, in
>>commit 94b76dc85ca3098bf4ceb0f5b884b5708b9e8134.
>>
>>I’m not sure how NumPy is used; is there a preference between these two
>>options (disabling flaky tests and removing the dependency on NumPy)?
>>
>>Thanks,
>>Ludo’.
>
> It looked to me like vigra was limping along and numpy compatibility
> was being dragged along by patches here and there. When I built the
> dependencies of vigra nothing failed to build. I'm definitely not
> against reinstating support for numpy but I'm not sure just disabling
> the tests is the right way.

I know nothing about vigra, but judging from its description "[...] It
is an image processing and analysis library that puts its main emphasis
on customizable algorithms and data structures. [...]" it seems it'd
probably make good use of Numpy?  Not sure what are the consequences of
doing without; perhaps efficiency.

Thanks,

Maxim




This bug report was last modified 3 years and 225 days ago.

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