🐛 community I/O

GiulioRossetti · Mar 12, 2019 · 8f13283 · 8f13283
1 parent b6181b5
commit 8f13283
Show file tree

Hide file tree

Showing 3 changed files with 6 additions and 6 deletions.
diff --git a/cdlib/algorithms/crisp_partition.py b/cdlib/algorithms/crisp_partition.py
@@ -821,7 +821,7 @@ def frc_fgsn(graph, theta, eps, r):
         nx.relabel_nodes(g, maps, False)
         fuzz_assoc = {maps[nid]: v for nid, v in fuzz_assoc.items()}
     else:
-        coms = [tuple(c) for c in communities]
+        coms = [list(c) for c in communities]
 
     return FuzzyNodeClustering(coms, fuzz_assoc, graph, "FuzzyComm", method_parameters={"theta": theta,
                                                                                         "eps": eps, "r": r})
diff --git a/cdlib/classes/node_clustering.py b/cdlib/classes/node_clustering.py
@@ -158,7 +158,7 @@ def fraction_over_median_degree(self, **kwargs):
 
         """
         if self.__check_graph():
-            return evaluation.fraction_over_median_degree(self.graph, self,**kwargs)
+            return evaluation.fraction_over_median_degree(self.graph, self, **kwargs)
         else:
             raise ValueError("Graph instance not specified")
 

diff --git a/cdlib/readwrite/io.py b/cdlib/readwrite/io.py
@@ -51,7 +51,7 @@ def read_community_csv(path, delimiter=",", nodetype=str):
     with open(path) as f:
         for row in f:
             community = list(map(nodetype, row.rstrip().split(delimiter)))
-            communities.append(tuple(community))
+            communities.append(list(community))
 
     return NodeClustering(communities, None, "")
 
@@ -106,7 +106,7 @@ def read_community_json(path):
     with open(path, "r") as f:
         coms = json.load(f)
 
-    nc = NodeClustering([tuple(c) for c in coms['communities']], None, coms['algorithm'],
+    nc = NodeClustering([list(c) for c in coms['communities']], None, coms['algorithm'],
                         coms['params'], coms['overlap'])
     nc.node_coverage = coms['coverage']
 
@@ -120,7 +120,7 @@ def read_community_json(path):
             cm = []
             for e in c:
                 cm.append(tuple(e))
-            cms.append(tuple(cm))
+            cms.append(list(cm))
         nc.communities = cms
         nc.__class__ = EdgeClustering
 
@@ -148,7 +148,7 @@ def read_community_from_json_string(json_repr):
 
     coms = json.loads(json_repr)
 
-    nc = NodeClustering([tuple(c) for c in coms['communities']], None, coms['algorithm'],
+    nc = NodeClustering([list(c) for c in coms['communities']], None, coms['algorithm'],
                         coms['params'], coms['overlap'])
     nc.node_coverage = coms['coverage']