python-molotov 1.6-3 is marked for autoremoval from testing on 2019-04-15
It is affected by these RC bugs:
924805: python-molotov: FTBFS: dh_auto_test: pybuild --test --test-pytest -i
python{version} -p 3.7 returned exit code 13
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FYI: The status of the python-molotov source package
in Debian's testing distribution has changed.
Previous version: 1.6-2
Current version: 1.6-3
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-BEGIN PGP SIGNED MESSAGE-
Hash: SHA512
Format: 1.8
Date: Tue, 05 Feb 2019 23:50:20 +0100
Source: translation-finder
Binary: python3-translation-finder
Architecture: source amd64
Version: 1.0-1
Distribution: unstable
Urgency: medium
Maintainer: Debian Python Modules Team
NETFLIX
Até a próxima
Olá, python-modules-t...@lists.alioth.debian.org,
Fomos notificados que você rejeitou a cobrança da sua assinatura Netflix pela forma de pagamento cadastrada. A sua assinatura foi cancelada.
Esperamos que você tenha gostado do serviço, e será um
Hi,
I can confirm this bug. Step to reproduce. Put this in /etc/pip.conf:
[global]
timeout = 60
index-url = http://mirror.dfw.rax.openstack.org/pypi/simple
trusted-host = mirror.dfw.rax.openstack.org
extra-index-url =
http://mirror.dfw.rax.openstack.org/wheel/ubuntu-18.04-x86_64
then any pip
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Package: python-scipy
Followup-For: Bug #723722
Apologies, I was trying to cancel my previous message but it slipped
through by accident, so please ignore it.
What I found was that the warning is emitted in
all cases, whether
np.nanmean([np.nan, np.nan])
np.nanmean([[np.nan, np.nan]])
Package: python-scipy
Followup-For: Bug #723722
nanmean is now removed from scipy.stats (1.1.0-4)
np.nanmean will process the array (without a warning) if given as a
numpy array (numpy 1:1.16.2-1):
>>> np.nanmean(np.array([np.nan, np.nan]))
nan
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Your message dated Fri, 29 Mar 2019 14:34:54 +0800
with message-id
and subject line done
has caused the Debian Bug report #919929,
regarding python-scipy: autopkgtest fails intermittently
to be marked as done.
This means that you claim that the problem has been dealt with.
If this is not the
Package: python-scipy
Version: 1.1.0-4
Followup-For: Bug #778635
Hi Gard, can you provide a simple test script so we can confirm that
scipy works correctly after applying your L-BFGS-B patch?
Thanks, Drew
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