two version of R2R are here HEAD master

1 files changed, 64 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/networkx/algorithms/centrality/tests/test_voterank.py b/.venv/lib/python3.12/site-packages/networkx/algorithms/centrality/tests/test_voterank.py
new file mode 100644
index 00000000..a5cfb610
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/networkx/algorithms/centrality/tests/test_voterank.py
@@ -0,0 +1,64 @@
+"""
+Unit tests for VoteRank.
+"""
+
+import networkx as nx
+
+
+class TestVoteRankCentrality:
+    # Example Graph present in reference paper
+    def test_voterank_centrality_1(self):
+        G = nx.Graph()
+        G.add_edges_from(
+            [
+                (7, 8),
+                (7, 5),
+                (7, 9),
+                (5, 0),
+                (0, 1),
+                (0, 2),
+                (0, 3),
+                (0, 4),
+                (1, 6),
+                (2, 6),
+                (3, 6),
+                (4, 6),
+            ]
+        )
+        assert [0, 7, 6] == nx.voterank(G)
+
+    def test_voterank_emptygraph(self):
+        G = nx.Graph()
+        assert [] == nx.voterank(G)
+
+    # Graph unit test
+    def test_voterank_centrality_2(self):
+        G = nx.florentine_families_graph()
+        d = nx.voterank(G, 4)
+        exact = ["Medici", "Strozzi", "Guadagni", "Castellani"]
+        assert exact == d
+
+    # DiGraph unit test
+    def test_voterank_centrality_3(self):
+        G = nx.gnc_graph(10, seed=7)
+        d = nx.voterank(G, 4)
+        exact = [3, 6, 8]
+        assert exact == d
+
+    # MultiGraph unit test
+    def test_voterank_centrality_4(self):
+        G = nx.MultiGraph()
+        G.add_edges_from(
+            [(0, 1), (0, 1), (1, 2), (2, 5), (2, 5), (5, 6), (5, 6), (2, 4), (4, 3)]
+        )
+        exact = [2, 1, 5, 4]
+        assert exact == nx.voterank(G)
+
+    # MultiDiGraph unit test
+    def test_voterank_centrality_5(self):
+        G = nx.MultiDiGraph()
+        G.add_edges_from(
+            [(0, 1), (0, 1), (1, 2), (2, 5), (2, 5), (5, 6), (5, 6), (2, 4), (4, 3)]
+        )
+        exact = [2, 0, 5, 4]
+        assert exact == nx.voterank(G)