Hello community,

here is the log from the commit of package python-fastcluster for 
openSUSE:Factory checked in at 2016-11-20 18:18:32
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-fastcluster (Old)
 and      /work/SRC/openSUSE:Factory/.python-fastcluster.new (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "python-fastcluster"

Changes:
--------
New Changes file:

--- /dev/null   2016-10-27 01:54:32.792041256 +0200
+++ 
/work/SRC/openSUSE:Factory/.python-fastcluster.new/python-fastcluster.changes   
    2016-11-20 18:18:32.000000000 +0100
@@ -0,0 +1,35 @@
+-------------------------------------------------------------------
+Sun Oct 30 23:29:41 UTC 2016 - [email protected]
+
+- Update descriptions. Drop authorship and irrelevant future notes.
+
+-------------------------------------------------------------------
+Fri Oct 28 14:48:39 UTC 2016 - [email protected]
+
+- Update to version 1.1.21:
+  * Appropiate use of std namespace
+- Update to version 1.1.20:
+  * New version number due to PyPI upload error.
+- Update to version 1.1.19:
+  * Fixed unit tests. They can be run with "python setup.py test" now.
+- Update to version 1.1.18:
+  * Fixed missing NumPy header include path.
+- Update to version 1.1.17:
+  * Resolved MSVC compiler warnings.
+- Update to version 1.1.16:
+  * Support for large distance matrices (more than 2^31 entries, R's long
+    vector support since version 3.0.0).
+- Update to version 1.1.15:
+  * Fixed the unit test to work with old and new R versions (see the changes
+    in stats::hclust in R 3.1.0).
+- Update to version 1.1.14:
+  * Updated the DESCRIPTION file according to CRAN rules.
+  * Renamed the "ward" method for dissimilarity input to "ward.D" in the R
+    interface and created a new method "ward.D2", following changes in R's
+    hclust package.
+    
+-------------------------------------------------------------------
+Fri Nov 28 12:21:40 UTC 2014 - [email protected]
+
+- Initial version
+

New:
----
  fastcluster-1.1.21.tar.gz
  python-fastcluster.changes
  python-fastcluster.spec

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

Other differences:
------------------
++++++ python-fastcluster.spec ++++++
#
# spec file for package python-fastcluster
#
# Copyright (c) 2016 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
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.

# Please submit bugfixes or comments via http://bugs.opensuse.org/
#


Name:           python-fastcluster
Version:        1.1.21
Release:        0
Summary:        Hierarchical clustering routines for Python
License:        BSD-2-Clause
Group:          Development/Languages/Python
Url:            http://danifold.net
Source:         
https://files.pythonhosted.org/packages/source/f/fastcluster/fastcluster-%{version}.tar.gz
BuildRequires:  gcc-c++
BuildRequires:  python-devel
BuildRequires:  python-nose
BuildRequires:  python-numpy-devel
BuildRequires:  python-scipy
Requires:       python-numpy
Requires:       python-scipy
BuildRoot:      %{_tmppath}/%{name}-%{version}-build

%description
This library provides Python functions for hierarchical clustering.
It generates hierarchical clusters from distance matrices or from
vector data.

Part of this module is intended to replace the functions
linkage, single, complete, average, weighted, centroid, median, ward
in the module scipy.cluster.hierarchy with the same functionality but
much faster algorithms. Moreover, the function 'linkage_vector'
provides memory-efficient clustering for vector data.

The interface is very similar to MATLAB's Statistics Toolbox API to
make code easier to port from MATLAB to Python/Numpy. The core
implementation of this library is in C++ for efficiency.

%package doc
Summary:        Documentation for %{name}
Group:          Documentation/PDF
Recommends:     %{name} = %{version}

%description doc
Documentation and help files for %{name}.

%prep
%setup -q -n fastcluster-%{version}

%build
CFLAGS="%{optflags}" python setup.py build

%install
python setup.py install --prefix=%{_prefix} --root=%{buildroot}
sed -i 's/\r$//' NEWS.txt
sed -i 's/\r$//' README.txt

%check
python setup.py test

%files
%defattr(-,root,root,-)
%doc CITATION.txt COPYING.txt NEWS.txt README.txt
%{python_sitearch}/*

%files doc
%defattr(-,root,root,-)
%doc docs/fastcluster.pdf

%changelog

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