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here is the log from the commit of package python-python-louvain for 
openSUSE:Factory checked in at 2022-10-14 15:42:55
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-python-louvain (Old)
 and      /work/SRC/openSUSE:Factory/.python-python-louvain.new.2275 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "python-python-louvain"

Fri Oct 14 15:42:55 2022 rev:7 rq:1010639 version:0.16

Changes:
--------
--- 
/work/SRC/openSUSE:Factory/python-python-louvain/python-python-louvain.changes  
    2021-04-24 23:10:00.227466980 +0200
+++ 
/work/SRC/openSUSE:Factory/.python-python-louvain.new.2275/python-python-louvain.changes
    2022-10-14 15:44:07.856077867 +0200
@@ -1,0 +2,13 @@
+Fri Oct 14 09:09:53 UTC 2022 - Daniel Garcia <daniel.gar...@suse.com>
+
+- Update to 0.16:
+  * Fix #86. When computing the change in modularity after alternating the
+    block membership of a node, the resolution parameter was multiplied to the
+    wrong term.
+    As a result, the current code fails to correctly implement the Louvain
+    algorithm, except for the special case when the resolution parameter is set
+    to one.
+- Add fix-test-karate.patch to fix tests with networkx<=2.7
+  gh#taynaud/python-louvain#95
+
+-------------------------------------------------------------------

Old:
----
  python-louvain-0.15.tar.gz

New:
----
  fix-test-karate.patch
  python-louvain-0.16.tar.gz

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

Other differences:
------------------
++++++ python-python-louvain.spec ++++++
--- /var/tmp/diff_new_pack.rSiv76/_old  2022-10-14 15:44:08.352078695 +0200
+++ /var/tmp/diff_new_pack.rSiv76/_new  2022-10-14 15:44:08.356078701 +0200
@@ -1,7 +1,7 @@
 #
 # spec file for package python-python-louvain
 #
-# Copyright (c) 2021 SUSE LLC
+# Copyright (c) 2022 SUSE LLC
 #
 # All modifications and additions to the file contributed by third parties
 # remain the property of their copyright owners, unless otherwise agreed
@@ -20,12 +20,14 @@
 %define         skip_python2 1
 %define         skip_python36 1
 Name:           python-python-louvain
-Version:        0.15
+Version:        0.16
 Release:        0
 Summary:        Louvain algorithm for community detection
 License:        BSD-3-Clause
 URL:            https://github.com/taynaud/python-louvain
 Source0:        
https://files.pythonhosted.org/packages/source/p/python-louvain/python-louvain-%{version}.tar.gz
+# PATCH-FIX-UPSTREAM fix-test-karate.patch gh#taynaud/python-louvain#95
+Patch:          fix-test-karate.patch
 BuildRequires:  %{python_module devel}
 BuildRequires:  %{python_module numpy}
 BuildRequires:  %{python_module setuptools}
@@ -50,7 +52,7 @@
 Statistical Mechanics: Theory and Experiment 2008(10), P10008 (12pp)
 
 %prep
-%setup -q -n python-louvain-%{version}
+%autosetup -p1 -n python-louvain-%{version}
 sed -i -e '/^#!\//, 1d' community/__init__.py
 
 %build

++++++ fix-test-karate.patch ++++++
Index: python-louvain-0.16/test_community.py
===================================================================
--- python-louvain-0.16.orig/test_community.py
+++ python-louvain-0.16/test_community.py
@@ -203,7 +203,7 @@ class BestPartitionTest(unittest.TestCas
         self.assertAlmostEqual(co.modularity(part, graph),
                                co.modularity(part_weight,
                                              graph,
-                                             "test_weight"), places=2)
+                                             "test_weight"), places=1)
 
         part_res_low = co.best_partition(graph, resolution=0.1)
         self.assertTrue(

++++++ python-louvain-0.15.tar.gz -> python-louvain-0.16.tar.gz ++++++
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn' 
'--exclude=.svnignore' old/python-louvain-0.15/PKG-INFO 
new/python-louvain-0.16/PKG-INFO
--- old/python-louvain-0.15/PKG-INFO    2020-12-27 16:27:04.887950700 +0100
+++ new/python-louvain-0.16/PKG-INFO    2022-01-29 16:53:00.890964000 +0100
@@ -1,6 +1,6 @@
 Metadata-Version: 1.1
 Name: python-louvain
-Version: 0.15
+Version: 0.16
 Summary: Louvain algorithm for community detection
 Home-page: https://github.com/taynaud/python-louvain
 Author: Thomas Aynaud
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn' 
'--exclude=.svnignore' old/python-louvain-0.15/README.rst 
new/python-louvain-0.16/README.rst
--- old/python-louvain-0.15/README.rst  2020-12-27 16:17:46.000000000 +0100
+++ new/python-louvain-0.16/README.rst  2022-01-29 16:18:01.000000000 +0100
@@ -37,7 +37,7 @@
 
 .. code-block:: python
 
-    import community as community_louvain
+    from community import community_louvain
     import matplotlib.cm as cm
     import matplotlib.pyplot as plt
     import networkx as nx
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn' 
'--exclude=.svnignore' old/python-louvain-0.15/community/__init__.py 
new/python-louvain-0.16/community/__init__.py
--- old/python-louvain-0.15/community/__init__.py       2020-12-27 
16:18:16.000000000 +0100
+++ new/python-louvain-0.16/community/__init__.py       2022-01-29 
16:35:56.000000000 +0100
@@ -15,7 +15,7 @@
     load_binary,
 )
 
-__version__ = "0.15"
+__version__ = "0.16"
 __author__ = """Thomas Aynaud (thomas.ayn...@lip6.fr)"""
 #    Copyright (C) 2009 by
 #    Thomas Aynaud <thomas.ayn...@lip6.fr>
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn' 
'--exclude=.svnignore' old/python-louvain-0.15/community/community_louvain.py 
new/python-louvain-0.16/community/community_louvain.py
--- old/python-louvain-0.15/community/community_louvain.py      2020-12-27 
16:17:46.000000000 +0100
+++ new/python-louvain-0.16/community/community_louvain.py      2022-01-29 
16:18:01.000000000 +0100
@@ -203,7 +203,7 @@
     Raises
     ------
     NetworkXError
-       If the graph is not Eulerian.
+       If the graph is not undirected.
 
     See Also
     --------
@@ -241,7 +241,7 @@
     >>> pos = nx.spring_layout(G)
     >>> # color the nodes according to their partition
     >>> cmap = cm.get_cmap('viridis', max(partition.values()) + 1)
-    >>> nx.draw_networkx_nodes(G, pos, partition.keys(), node_size=40, 
+    >>> nx.draw_networkx_nodes(G, pos, partition.keys(), node_size=40,
     >>>                        cmap=cmap, node_color=list(partition.values()))
     >>> nx.draw_networkx_edges(G, pos, alpha=0.5)
     >>> plt.show()
@@ -484,15 +484,15 @@
             com_node = status.node2com[node]
             degc_totw = status.gdegrees.get(node, 0.) / (status.total_weight * 
2.)  # NOQA
             neigh_communities = __neighcom(node, graph, status, weight_key)
-            remove_cost = - resolution * neigh_communities.get(com_node,0) + \
-                (status.degrees.get(com_node, 0.) - status.gdegrees.get(node, 
0.)) * degc_totw
+            remove_cost = - neigh_communities.get(com_node,0) + \
+                resolution * (status.degrees.get(com_node, 0.) - 
status.gdegrees.get(node, 0.)) * degc_totw
             __remove(node, com_node,
                      neigh_communities.get(com_node, 0.), status)
             best_com = com_node
             best_increase = 0
             for com, dnc in __randomize(neigh_communities.items(), 
random_state):
-                incr = remove_cost + resolution * dnc - \
-                       status.degrees.get(com, 0.) * degc_totw
+                incr = remove_cost + dnc - \
+                       resolution * status.degrees.get(com, 0.) * degc_totw
                 if incr > best_increase:
                     best_increase = incr
                     best_com = com
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn' 
'--exclude=.svnignore' old/python-louvain-0.15/docs/index.rst 
new/python-louvain-0.16/docs/index.rst
--- old/python-louvain-0.15/docs/index.rst      2020-12-27 16:20:24.000000000 
+0100
+++ new/python-louvain-0.16/docs/index.rst      2022-01-29 16:37:05.000000000 
+0100
@@ -69,9 +69,6 @@
     #first compute the best partition
     partition = community_louvain.best_partition(G)
 
-    # compute the best partition
-    partition = community_louvain.best_partition(G)
-
     # draw the graph
     pos = nx.spring_layout(G)
     # color the nodes according to their partition
@@ -87,6 +84,7 @@
 Changelog :
 ===========
 
+* 2020-12-27 : 0.16, Fix when using the resolution parameter. Doc fixes
 * 2020-12-27 : 0.15, Stop relabelling stable partitions, tests on power, doc 
fixes
 * 2020-04-06 : 0.14, bugfixes (on resolution parameter), optimization on 
random state
 * 2018-12-21 : 0.13, better random state, some files missing included, 
communities always in 0..N-1
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn' 
'--exclude=.svnignore' old/python-louvain-0.15/docs/release 
new/python-louvain-0.16/docs/release
--- old/python-louvain-0.15/docs/release        2020-04-06 14:38:06.000000000 
+0200
+++ new/python-louvain-0.16/docs/release        2022-01-29 16:21:03.000000000 
+0100
@@ -5,4 +5,5 @@
 * Run tests locally
 * Commit, push and wait for travis tests to pass
 * Check docs are updated
+* Add a git tag
 * python setup.py sdist upload  # To improve to use the new methods
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn' 
'--exclude=.svnignore' old/python-louvain-0.15/python_louvain.egg-info/PKG-INFO 
new/python-louvain-0.16/python_louvain.egg-info/PKG-INFO
--- old/python-louvain-0.15/python_louvain.egg-info/PKG-INFO    2020-12-27 
16:27:04.000000000 +0100
+++ new/python-louvain-0.16/python_louvain.egg-info/PKG-INFO    2022-01-29 
16:53:00.000000000 +0100
@@ -1,6 +1,6 @@
 Metadata-Version: 1.1
 Name: python-louvain
-Version: 0.15
+Version: 0.16
 Summary: Louvain algorithm for community detection
 Home-page: https://github.com/taynaud/python-louvain
 Author: Thomas Aynaud
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn' 
'--exclude=.svnignore' old/python-louvain-0.15/setup.py 
new/python-louvain-0.16/setup.py
--- old/python-louvain-0.15/setup.py    2020-12-27 16:18:27.000000000 +0100
+++ new/python-louvain-0.16/setup.py    2022-01-29 16:35:44.000000000 +0100
@@ -2,7 +2,7 @@
 
 setup(
     name="python-louvain",
-    version="0.15",
+    version="0.16",
     author="Thomas Aynaud",
     author_email="tayn...@gmail.com",
     description="Louvain algorithm for community detection",

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