Hello community, here is the log from the commit of package python-Bottleneck for openSUSE:Factory checked in at 2015-04-30 11:50:37 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python-Bottleneck (Old) and /work/SRC/openSUSE:Factory/.python-Bottleneck.new (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Package is "python-Bottleneck" Changes: -------- --- /work/SRC/openSUSE:Factory/python-Bottleneck/python-Bottleneck.changes 2014-07-17 17:31:34.000000000 +0200 +++ /work/SRC/openSUSE:Factory/.python-Bottleneck.new/python-Bottleneck.changes 2015-04-30 11:50:39.000000000 +0200 @@ -1,0 +2,43 @@ +Mon Apr 27 19:23:55 UTC 2015 - benoit.monin@gmx.fr + +- update to version 1.0.0: + * "python setup.py build" is 18.7 times faster + * Function-call overhead cut in half---a big speed up for small + input arrays + * Arbitrary ndim input arrays accelerated; previously only 1d, + 2d, and 3d + * bn.nanrankdata is twice as fast for float input arrays + * bn.move_max, bn.move_min are faster for int input arrays + * No speed penalty for reducing along all axes when input is + Fortran ordered + * Compiled binaries 14.1 times smaller + * Source tarball 4.7 times smaller + * 9.8 times less C code + * 4.3 times less Cython code + * 3.7 times less Python code + * Requires numpy 1.9.1 + * Single API, e.g.: bn.nansum instead of bn.nansum and + nansum_2d_float64_axis0 + * On 64-bit systems bn.nansum(int32) returns int32 instead of + int64 + * bn.nansum now returns 0 for all NaN slices (as does numpy + 1.9.1) + * Reducing over all axes returns, e.g., 6.0; previously + np.float64(6.0) + * bn.ss() now has default axis=None instead of axis=0 + * bn.nn() is no longer in bottleneck + * Previous releases had moving window function pairs: move_sum, + move_nansum + * This release only has half of the pairs: move_sum + * Instead a new input parameter, min_count, has been added + * min_count=None same as old move_sum; min_count=1 same as old + move_nansum + * If # non-NaN values in window < min_count, then NaN assigned + to the window + * Exception: move_median does not take min_count as input + * Can now install bottleneck with pip even if numpy is not + already installed + * bn.move_max, bn.move_min now return float32 for float32 input +- increase required numpy version to 1.9.1 + +------------------------------------------------------------------- Old: ---- Bottleneck-0.8.0.tar.gz New: ---- Bottleneck-1.0.0.tar.gz ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python-Bottleneck.spec ++++++ --- /var/tmp/diff_new_pack.OfrM8s/_old 2015-04-30 11:50:39.000000000 +0200 +++ /var/tmp/diff_new_pack.OfrM8s/_new 2015-04-30 11:50:39.000000000 +0200 @@ -1,7 +1,7 @@ # # spec file for package python-Bottleneck # -# Copyright (c) 2014 SUSE LINUX Products GmbH, Nuernberg, Germany. +# Copyright (c) 2015 SUSE LINUX GmbH, Nuernberg, Germany. # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed @@ -18,7 +18,7 @@ %define modname Bottleneck Name: python-%{modname} -Version: 0.8.0 +Version: 1.0.0 Release: 0 Summary: A collection of fast NumPy array functions License: BSD-2-Clause and BSD-3-Clause @@ -27,9 +27,9 @@ Source0: http://pypi.python.org/packages/source/B/Bottleneck/%{modname}-%{version}.tar.gz BuildRoot: %{_tmppath}/%{name}-%{version}-build BuildRequires: python-devel -BuildRequires: python-numpy-devel >= 1.8 +BuildRequires: python-numpy-devel >= 1.9.1 BuildRequires: python-setuptools -Requires: python-numpy >= 1.8 +Requires: python-numpy >= 1.9.1 %if 0%{?suse_version} <= 1110 %{!?python_sitearch: %global python_sitearch %(python -c "from distutils.sysconfig import get_python_lib; print(get_python_lib(1))")} %{py_requires} ++++++ Bottleneck-0.8.0.tar.gz -> Bottleneck-1.0.0.tar.gz ++++++ ++++ 703886 lines of diff (skipped)