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Accepting request 230332 from devel:languages:python

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update to 1.8.1, bugfix release (forwarded request 229948 from apersaud)

OBS-URL: https://build.opensuse.org/request/show/230332
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numpy?expand=0&rev=39
This commit is contained in:
Stephan Kulow 2014-04-23 15:28:07 +00:00 committed by Git OBS Bridge
parent 5b22870945
commit 631b05e826
6 changed files with 15 additions and 5 deletions
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numpy-1.8.0.tar.gz
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size 3779617

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numpy-1.8.1.tar.gz Normal file
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version https://git-lfs.github.com/spec/v1
oid sha256:3d722fc3ac922a34c50183683e828052cd9bb7e9134a95098441297d7ea1c7a9
size 3794076

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python-numpy-doc.changes
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-------------------------------------------------------------------
Mon Apr 14 05:24:31 UTC 2014 - arun@gmx.de
- bugfix release 1.8.1
------------------------------------------------------------------- -------------------------------------------------------------------
Tue Feb 4 00:55:42 UTC 2014 - dvaleev@suse.com Tue Feb 4 00:55:42 UTC 2014 - dvaleev@suse.com

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python-numpy-doc.spec
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%define modname numpy %define modname numpy
Name: python-%{modname}-doc Name: python-%{modname}-doc
%define docname numpydoc %define docname numpydoc
Version: 1.8.0 Version: 1.8.1
Release: 0 Release: 0
%define docvers 0.4 %define docvers 0.4
Url: http://sourceforge.net/projects/numpy Url: http://sourceforge.net/projects/numpy

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python-numpy.changes
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-------------------------------------------------------------------
Mon Apr 14 05:23:39 UTC 2014 - arun@gmx.de
- bugfix release 1.8.1
------------------------------------------------------------------- -------------------------------------------------------------------
Thu Dec 5 11:17:52 CET 2013 - mls@suse.de Thu Dec 5 11:17:52 CET 2013 - mls@suse.de

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python-numpy.spec
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%define modname numpy %define modname numpy
Name: python-%{modname} Name: python-%{modname}
Version: 1.8.0 Version: 1.8.1
Release: 0 Release: 0
Url: http://sourceforge.net/projects/numpy Url: http://sourceforge.net/projects/numpy
Summary: NumPy array processing for numbers, strings, records and objects Summary: NumPy array processing for numbers, strings, records and objects