Accepting request 489486 from devel:languages:python
Update to 2.6.2 Implement single-spec version OBS-URL: https://build.opensuse.org/request/show/489486 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numexpr?expand=0&rev=5
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version https://git-lfs.github.com/spec/v1
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oid sha256:052397670dc56d7845ff894cd7d858e4f115491ecd93bcc0eda5cb83990c5da3
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size 87481
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3
numexpr-2.6.2.tar.gz
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3
numexpr-2.6.2.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ab8ff5c19e7f452966bf5a3220b845cf3244fe0b96544f7f9acedcc2db5c705
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size 90970
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@@ -1,3 +1,61 @@
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-------------------------------------------------------------------
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Wed Apr 19 22:13:57 UTC 2017 - toddrme2178@gmail.com
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- Source url must be https.
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-------------------------------------------------------------------
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Wed Apr 19 18:38:25 UTC 2017 - toddrme2178@gmail.com
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- Update to 2.6.2
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* Updates to keep with API changes in newer NumPy versions (#228).
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Thanks to Oleksandr Pavlyk.
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* Removed several warnings (#226 and #227). Thanks to Oleksander Pavlyk.
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* Fix bugs in function `stringcontains()` (#230). Thanks to Alexander Shadchin.
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* Detection of the POWER processor (#232). Thanks to Breno Leitao.
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* Fix pow result casting (#235). Thanks to Fernando Seiti Furusato.
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* Fix integers to negative integer powers (#240). Thanks to Antonio Valentino.
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* Detect numpy exceptions in expression evaluation (#240). Thanks to Antonio Valentino.
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* Better handling of RC versions (#243). Thanks to Antonio Valentino.
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- Update to 2.6.1
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* Fixed a performance regression in some situations as consequence of
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increasing too much the BLOCK_SIZE1 constant. After more careful
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benchmarks (both in VML and non-VML modes), the value has been set
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again to 1024 (down from 8192). The benchmarks have been made with
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a relatively new processor (Intel Xeon E3-1245 v5 @ 3.50GHz), so
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they should work well for a good range of processors again.
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* Added NetBSD support to CPU detection. Thanks to Thomas Klausner.
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- Update to 2.6.0
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* Introduced a new re_evaluate() function for re-evaluating the
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previous executed array expression without any check. This is meant
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for accelerating loops that are re-evaluating the same expression
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repeatedly without changing anything else than the operands. If
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unsure, use evaluate() which is safer.
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* The BLOCK_SIZE1 and BLOCK_SIZE2 constants have been re-checked in
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order to find a value maximizing most of the benchmarks in bench/
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directory. The new values (8192 and 16 respectively) give somewhat
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better results (~5%) overall. The CPU used for fine tuning is a
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relatively new Haswell processor (E3-1240 v3).
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* The '--name' flag for `setup.py` returning the name of the package
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is honored now (issue #215).
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- Update to 2.5.2
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* conj() and abs() actually added as VML-powered functions, preventing
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the same problems than log10() before (PR #212). Thanks to Tom Kooij
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for the fix!
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- Update to 2.5.1
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* Fix for log10() and conj() functions. These produced wrong results
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when numexpr was compiled with Intel's MKL (which is a popular build
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since Anaconda ships it by default) and non-contiguous data (issue
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#210). Thanks to Arne de Laat and Tom Kooij for reporting and
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providing a nice test unit.
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* Fix that allows numexpr-powered apps to be profiled with pympler.
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Thanks to @nbecker.
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- Update to 2.5
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* Added locking for allowing the use of numexpr in multi-threaded
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callers (this does not prevent numexpr to use multiple cores
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simultaneously). (PR #199, Antoine Pitrou, PR #200, Jenn Olsen).
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* Added new min() and max() functions (PR #195, CJ Carey).
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- Implement single-spec version
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-------------------------------------------------------------------
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Mon Feb 1 11:39:24 UTC 2016 - toddrme2178@gmail.com
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#
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# spec file for package python-numexpr
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#
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# Copyright (c) 2016 SUSE LINUX GmbH, Nuernberg, Germany.
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# Copyright (c) 2017 SUSE LINUX 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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#
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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Name: python-numexpr
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Version: 2.4.6
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Version: 2.6.2
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Release: 0
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Url: https://github.com/pydata/numexpr/
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Summary: Fast numerical expression evaluator for NumPy
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License: MIT
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Group: Development/Languages/Python
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Source: http://pypi.python.org/packages/source/n/numexpr/numexpr-%{version}.tar.gz
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Source: https://files.pythonhosted.org/packages/source/n/numexpr/numexpr-%{version}.tar.gz
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BuildRoot: %{_tmppath}/%{name}-%{version}-build
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BuildRequires: gcc-c++
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BuildRequires: python-devel >= 2.5
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BuildRequires: python-numpy-devel >= 1.6
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module numpy-devel >= 1.6}
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Requires: python-numpy >= 1.6
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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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%endif
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%python_subpackages
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%description
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Numexpr is a fast numerical expression evaluator for NumPy. With it,
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@@ -44,12 +46,14 @@ and use less memory than doing the same calculation in Python.
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sed -i '/^#!/ d' numexpr/cpuinfo.py
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%build
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CFLAGS="%{optflags} -fno-strict-aliasing" python setup.py build
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export CFLAGS="%{optflags} -fno-strict-aliasing"
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%python_build
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%install
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python setup.py install --prefix=%{_prefix} --root=%{buildroot}
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%python_install
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%python_expand %fdupes %{buildroot}%{$python_sitearch}
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%files
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%files %{python_files}
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%defattr(-,root,root,-)
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%doc ANNOUNCE.rst AUTHORS.txt LICENSE.txt README.rst RELEASE_NOTES.rst site.cfg.example
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%{python_sitearch}/numexpr/
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