Accepting request 241240 from devel:languages:python
I intend to submit python-pandas to openSUSE:Factory. python-pandas is a tool that makes it easy to do complex data import, export, and manipulation. It has become one of the critical tools for data analysis in python, like python-numpy, python-scipy, python-matplotlib, and IPython (all of which are in openSUSE:Factory). This is a dependency of python-pandas. OBS-URL: https://build.opensuse.org/request/show/241240 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-Bottleneck?expand=0&rev=1
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.gitattributes
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## Default LFS
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.osc
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Bottleneck-0.8.0.tar.gz
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Bottleneck-0.8.0.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0a980510239f685ebaf4dbc8c9f0e55ac964312e0d11c551208c250d22cc64b
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size 1634340
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python-Bottleneck.changes
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python-Bottleneck.changes
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-------------------------------------------------------------------
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Thu May 8 10:58:17 UTC 2014 - toddrme2178@gmail.com
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- Update to version 0.8.0
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- This version of Bottleneck requires NumPy 1.8
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- nanargmin and nanargmax behave like the corresponding functions in NumPy 1.8
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- nanargmax/nanargmin wrong for redundant max/min values in 1d int arrays
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-------------------------------------------------------------------
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Tue Oct 22 12:07:46 UTC 2013 - toddrme2178@gmail.com
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- Update to version 0.7.0
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+ bn.rankdata() is twice as fast (with input a = np.random.rand(1000000))
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+ C files now included in github repo; cython not needed to try latest
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+ C files are now generated with Cython 0.19.1 instead of 0.16
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+ Test bottleneck across multiple python/numpy versions using tox
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+ Source tarball size cut in half
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-------------------------------------------------------------------
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Fri Jun 22 13:11:43 UTC 2012 - saschpe@suse.de
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- %py_requires is only needed for SLE_11_SP2 (and older), newer Python
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package releases generate the RPM requires for the Python ABI automatically
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-------------------------------------------------------------------
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Fri Jun 22 12:25:12 UTC 2012 - saschpe@suse.de
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- Update to version 0.6.0:
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+ replace(arr, old, new), e.g, replace(arr, np.nan, 0)
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+ nn(arr, arr0, axis) nearest neighbor and its index of 1d arr0 in 2d arr
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+ anynan(arr, axis) faster alternative to np.isnan(arr).any(axis)
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+ allnan(arr, axis) faster alternative to np.isnan(arr).all(axis)
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+ Python 3.2 support (may work on earlier verions of Python 3)
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+ C files are now generated with Cython 0.16 instead of 0.14.1
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+ Upgrade numpydoc from 0.3.1 to 0.4 to support Sphinx 1.0.1
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+ Support for Python 2.5 dropped
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+ Default axis for benchmark suite is now axis=1 (was 0)
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+ #31 Confusing error message in partsort and argpartsort
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+ #32 Update path in MANIFEST.in
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+ #35 Wrong output for very large (2**31) input arrays
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-------------------------------------------------------------------
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Fri Jun 1 09:05:36 UTC 2012 - toddrme2178@gmail.com
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- spec file cleanups
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- fix license tag
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-------------------------------------------------------------------
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Mon Feb 27 21:55:40 UTC 2012 - scorot@free.fr
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- version 0.5.0
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-------------------------------------------------------------------
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Fri Jan 22 00:00:00 UTC 2011 - scorot@gtt.fr
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- Initial release
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python-Bottleneck.spec
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python-Bottleneck.spec
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#
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# spec file for package python-Bottleneck
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#
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# Copyright (c) 2014 SUSE LINUX Products GmbH, Nuernberg, Germany.
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via http://bugs.opensuse.org/
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#
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%define modname Bottleneck
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Name: python-%{modname}
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Version: 0.8.0
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Release: 0
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Summary: A collection of fast NumPy array functions
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License: BSD-2-Clause and BSD-3-Clause
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Group: Development/Libraries/Python
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Url: http://berkeleyanalytics.com/bottleneck/
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Source0: http://pypi.python.org/packages/source/B/Bottleneck/%{modname}-%{version}.tar.gz
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BuildRoot: %{_tmppath}/%{name}-%{version}-build
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BuildRequires: python-devel
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BuildRequires: python-numpy-devel >= 1.8
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BuildRequires: python-setuptools
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Requires: python-numpy >= 1.8
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%if 0%{?suse_version} <= 1110
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%{!?python_sitearch: %global python_sitearch %(python -c "from distutils.sysconfig import get_python_lib; print(get_python_lib(1))")}
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%{py_requires}
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%endif
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%description
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Bottleneck is a collection of fast NumPy array functions written in Cython.
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%prep
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%setup -q -n %{modname}-%{version}
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%build
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CFLAGS="%{optflags} -fno-strict-aliasing" python setup.py build
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%install
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python setup.py install --prefix=%{_prefix} --root=%{buildroot}
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%files
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%defattr(-,root,root)
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%doc README.rst RELEASE.rst LICENSE
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%{python_sitearch}/bottleneck/
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%{python_sitearch}/%{modname}-%{version}-py%{py_ver}.egg-info
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%changelog
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