Hello community,

here is the log from the commit of package python3-Bottleneck for 
openSUSE:Factory checked in at 2015-02-10 20:23:23
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python3-Bottleneck (Old)
 and      /work/SRC/openSUSE:Factory/.python3-Bottleneck.new (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "python3-Bottleneck"

Changes:
--------
--- /work/SRC/openSUSE:Factory/python3-Bottleneck/python3-Bottleneck.changes    
2014-07-17 17:31:39.000000000 +0200
+++ 
/work/SRC/openSUSE:Factory/.python3-Bottleneck.new/python3-Bottleneck.changes   
    2015-02-10 20:23:24.000000000 +0100
@@ -1,0 +2,50 @@
+Mon Feb  9 06:21:29 UTC 2015 - [email protected]
+
+- specfile:
+  * update copyright year
+  * removed modname variable
+
+- update to version 1.0.0:
+  * Faster
+    + “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
+  * Smaller
+    + 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
+  * Beware
+    + 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
+  * min_count
+    + 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
+  * Bug Fixes
+    + 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
+
+-------------------------------------------------------------------

Old:
----
  Bottleneck-0.8.0.tar.gz

New:
----
  Bottleneck-1.0.0.tar.gz

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Other differences:
------------------
++++++ python3-Bottleneck.spec ++++++
--- /var/tmp/diff_new_pack.1T9Plf/_old  2015-02-10 20:23:25.000000000 +0100
+++ /var/tmp/diff_new_pack.1T9Plf/_new  2015-02-10 20:23:25.000000000 +0100
@@ -1,7 +1,7 @@
 #
 # spec file for package python3-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
@@ -16,26 +16,25 @@
 #
 
 
-%define modname Bottleneck
-Name:           python3-%{modname}
-Version:        0.8.0
+Name:           python3-Bottleneck
+Version:        1.0.0
 Release:        0
 Summary:        A collection of fast NumPy array functions
 License:        BSD-2-Clause and BSD-3-Clause
 Group:          Development/Libraries/Python
 Url:            http://berkeleyanalytics.com/bottleneck/
-Source0:        
http://pypi.python.org/packages/source/B/Bottleneck/%{modname}-%{version}.tar.gz
+Source0:        
http://pypi.python.org/packages/source/B/Bottleneck/Bottleneck-%{version}.tar.gz
 BuildRoot:      %{_tmppath}/%{name}-%{version}-build
 BuildRequires:  python3-devel
-BuildRequires:  python3-numpy-devel >= 1.8
+BuildRequires:  python3-numpy-devel >= 1.9.1
 BuildRequires:  python3-setuptools
-Requires:       python3-numpy >= 1.8
+Requires:       python3-numpy >= 1.9.1
 
 %description
 Bottleneck is a collection of fast NumPy array functions written in Cython.
 
 %prep
-%setup -q -n %{modname}-%{version}
+%setup -q -n Bottleneck-%{version}
 
 %build
 CFLAGS="%{optflags} -fno-strict-aliasing" python3 setup.py build
@@ -47,6 +46,6 @@
 %defattr(-,root,root)
 %doc README.rst RELEASE.rst LICENSE
 %{python3_sitearch}/bottleneck/
-%{python3_sitearch}/%{modname}-%{version}-py*.egg-info
+%{python3_sitearch}/Bottleneck-%{version}-py*.egg-info
 
 %changelog

++++++ Bottleneck-0.8.0.tar.gz -> Bottleneck-1.0.0.tar.gz ++++++
++++ 703886 lines of diff (skipped)

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