Accepting request 304346 from devel:languages:python

1

OBS-URL: https://build.opensuse.org/request/show/304346
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-Bottleneck?expand=0&rev=3

Bottleneck-0.8.0.tar.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f0a980510239f685ebaf4dbc8c9f0e55ac964312e0d11c551208c250d22cc64b
-size 1634340

Bottleneck-1.0.0.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d9b7ad4fadf9648acc924a6ee522c7cb5b474e75faaad9d90dfd55e2805b495
+size 363223

python-Bottleneck.changes

@@ -1,3 +1,46 @@
+-------------------------------------------------------------------
+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
+
 -------------------------------------------------------------------
 Thu May  8 10:58:17 UTC 2014 - toddrme2178@gmail.com
 

python-Bottleneck.spec

@@ -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 @@ Url:            http://berkeleyanalytics.com/bottleneck/
 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}