Hello community,

here is the log from the commit of package python-audiolazy for 
openSUSE:Factory checked in at 2018-06-13 15:37:25
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-audiolazy (Old)
 and      /work/SRC/openSUSE:Factory/.python-audiolazy.new (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "python-audiolazy"

Wed Jun 13 15:37:25 2018 rev:2 rq:615168 version:0.6

Changes:
--------
--- /work/SRC/openSUSE:Factory/python-audiolazy/python-audiolazy.changes        
2018-05-15 10:31:55.951426449 +0200
+++ /work/SRC/openSUSE:Factory/.python-audiolazy.new/python-audiolazy.changes   
2018-06-13 15:38:17.210996985 +0200
@@ -1,0 +2,6 @@
+Thu Jun  7 21:02:03 UTC 2018 - jeng...@inai.de
+
+- Start the description with a main clause, not
+  some lengthy subclause.
+
+-------------------------------------------------------------------

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

Other differences:
------------------
++++++ python-audiolazy.spec ++++++
--- /var/tmp/diff_new_pack.VHWnfl/_old  2018-06-13 15:38:17.854973286 +0200
+++ /var/tmp/diff_new_pack.VHWnfl/_new  2018-06-13 15:38:17.858973139 +0200
@@ -23,7 +23,7 @@
 Version:        0.6
 Release:        0
 Summary:        Real-Time Expressive Digital Signal Processing (DSP) Package 
for Python!
-License:        GPL-3.0
+License:        GPL-3.0-only
 Group:          Development/Languages/Python
 Url:            http://github.com/danilobellini/audiolazy
 Source:         
https://files.pythonhosted.org/packages/source/a/audiolazy/audiolazy-%{version}.tar.gz
@@ -49,11 +49,14 @@
 %python_subpackages
 
 %description
-Prioritizing code expressiveness, clarity and simplicity, without precluding
-the lazy evaluation, and aiming to be used together with Numpy, Scipy and
-Matplotlib as well as default Python structures like lists and generators,
 AudioLazy is a package written in pure Python proposing digital audio signal
-processing (DSP), featuring:
+processing (DSP).
+
+It prioritizes code expressiveness, clarity and simplicity, without precluding
+the lazy evaluation, and can be used together with Numpy, Scipy and
+Matplotlib as well as default Python structures like lists and generators.
+
+It also features:
 
 - A ``Stream`` class for finite and endless signals representation with
   elementwise operators (auto-broadcast with non-iterables) in a common


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