Hello community,

here is the log from the commit of package python3-Bottleneck for 
openSUSE:Factory checked in at 2016-07-14 09:47:09
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python3-Bottleneck (Old)
 and      /work/SRC/openSUSE:Factory/.python3-Bottleneck.new (New)
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Package is "python3-Bottleneck"

Changes:
--------
--- /work/SRC/openSUSE:Factory/python3-Bottleneck/python3-Bottleneck.changes    
2016-05-25 21:23:01.000000000 +0200
+++ 
/work/SRC/openSUSE:Factory/.python3-Bottleneck.new/python3-Bottleneck.changes   
    2016-07-14 09:47:11.000000000 +0200
@@ -1,0 +2,38 @@
+Sat Jul  9 00:31:56 UTC 2016 - [email protected]
+
+- update to version 1.1.0:
+  * More Robust
+    + move_median can now handle NaNs and min_count parameter
+    + move_std is slower but numerically more stable
+    + Bottleneck no longer crashes on byte-swapped input arrays
+  * Faster
+    + All Bottleneck functions release the GIL
+    + median is faster if the input array contains NaN
+    + move_median is faster for input arrays that contain lots of NaNs
+    + No speed penalty for median, nanmedian, nanargmin, nanargmax for
+      Fortran ordered input arrays when axis is None
+    + Function call overhead cut in half for reduction along all axes
+      (axis=None) if the input array satisfies at least one of the
+      following properties: 1d, C contiguous, F contiguous
+    + Reduction along all axes (axis=None) is more than twice as fast
+      for long, narrow input arrays such as a (1000000, 2) C
+      contiguous array and a (2, 1000000) F contiguous array
+  * New Functions
+    + move_var
+    + move_argmin
+    + move_argmax
+    + move_rank
+    + push
+  * Beware
+    + median now returns NaN for a slice that contains one or more
+      NaNs
+    + Instead of using the distutils default, the ‘-O2’ C compiler
+      flag is forced
+    + move_std output changed when mean is large compared to standard
+      deviation
+    + Fixed: Non-accelerated moving window functions used min_count
+      incorrectly
+    + move_median is a bit slower for float input arrays that do not
+      contain NaN
+
+-------------------------------------------------------------------
@@ -7 +44,0 @@
-

Old:
----
  Bottleneck-1.0.0.tar.gz

New:
----
  Bottleneck-1.1.0.tar.gz

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Other differences:
------------------
++++++ python3-Bottleneck.spec ++++++
--- /var/tmp/diff_new_pack.n4Jhj6/_old  2016-07-14 09:47:12.000000000 +0200
+++ /var/tmp/diff_new_pack.n4Jhj6/_new  2016-07-14 09:47:12.000000000 +0200
@@ -17,7 +17,7 @@
 
 
 Name:           python3-Bottleneck
-Version:        1.0.0
+Version:        1.1.0
 Release:        0
 Summary:        A collection of fast NumPy array functions
 License:        BSD-2-Clause and BSD-3-Clause

++++++ Bottleneck-1.0.0.tar.gz -> Bottleneck-1.1.0.tar.gz ++++++
++++ 202013 lines of diff (skipped)


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