1 files changed, 110 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/networkx/algorithms/centrality/tests/test_subgraph.py b/.venv/lib/python3.12/site-packages/networkx/algorithms/centrality/tests/test_subgraph.py
new file mode 100644
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--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/networkx/algorithms/centrality/tests/test_subgraph.py
@@ -0,0 +1,110 @@
+import pytest
+
+pytest.importorskip("numpy")
+pytest.importorskip("scipy")
+
+import networkx as nx
+from networkx.algorithms.centrality.subgraph_alg import (
+    communicability_betweenness_centrality,
+    estrada_index,
+    subgraph_centrality,
+    subgraph_centrality_exp,
+)
+
+
+class TestSubgraph:
+    def test_subgraph_centrality(self):
+        answer = {0: 1.5430806348152433, 1: 1.5430806348152433}
+        result = subgraph_centrality(nx.path_graph(2))
+        for k, v in result.items():
+            assert answer[k] == pytest.approx(v, abs=1e-7)
+
+        answer1 = {
+            "1": 1.6445956054135658,
+            "Albert": 2.4368257358712189,
+            "Aric": 2.4368257358712193,
+            "Dan": 3.1306328496328168,
+            "Franck": 2.3876142275231915,
+        }
+        G1 = nx.Graph(
+            [
+                ("Franck", "Aric"),
+                ("Aric", "Dan"),
+                ("Dan", "Albert"),
+                ("Albert", "Franck"),
+                ("Dan", "1"),
+                ("Franck", "Albert"),
+            ]
+        )
+        result1 = subgraph_centrality(G1)
+        for k, v in result1.items():
+            assert answer1[k] == pytest.approx(v, abs=1e-7)
+        result1 = subgraph_centrality_exp(G1)
+        for k, v in result1.items():
+            assert answer1[k] == pytest.approx(v, abs=1e-7)
+
+    def test_subgraph_centrality_big_graph(self):
+        g199 = nx.complete_graph(199)
+        g200 = nx.complete_graph(200)
+
+        comm199 = nx.subgraph_centrality(g199)
+        comm199_exp = nx.subgraph_centrality_exp(g199)
+
+        comm200 = nx.subgraph_centrality(g200)
+        comm200_exp = nx.subgraph_centrality_exp(g200)
+
+    def test_communicability_betweenness_centrality_small(self):
+        result = communicability_betweenness_centrality(nx.path_graph(2))
+        assert result == {0: 0, 1: 0}
+
+        result = communicability_betweenness_centrality(nx.path_graph(1))
+        assert result == {0: 0}
+
+        result = communicability_betweenness_centrality(nx.path_graph(0))
+        assert result == {}
+
+        answer = {0: 0.1411224421177313, 1: 1.0, 2: 0.1411224421177313}
+        result = communicability_betweenness_centrality(nx.path_graph(3))
+        for k, v in result.items():
+            assert answer[k] == pytest.approx(v, abs=1e-7)
+
+        result = communicability_betweenness_centrality(nx.complete_graph(3))
+        for k, v in result.items():
+            assert 0.49786143366223296 == pytest.approx(v, abs=1e-7)
+
+    def test_communicability_betweenness_centrality(self):
+        answer = {
+            0: 0.07017447951484615,
+            1: 0.71565598701107991,
+            2: 0.71565598701107991,
+            3: 0.07017447951484615,
+        }
+        result = communicability_betweenness_centrality(nx.path_graph(4))
+        for k, v in result.items():
+            assert answer[k] == pytest.approx(v, abs=1e-7)
+
+        answer1 = {
+            "1": 0.060039074193949521,
+            "Albert": 0.315470761661372,
+            "Aric": 0.31547076166137211,
+            "Dan": 0.68297778678316201,
+            "Franck": 0.21977926617449497,
+        }
+        G1 = nx.Graph(
+            [
+                ("Franck", "Aric"),
+                ("Aric", "Dan"),
+                ("Dan", "Albert"),
+                ("Albert", "Franck"),
+                ("Dan", "1"),
+                ("Franck", "Albert"),
+            ]
+        )
+        result1 = communicability_betweenness_centrality(G1)
+        for k, v in result1.items():
+            assert answer1[k] == pytest.approx(v, abs=1e-7)
+
+    def test_estrada_index(self):
+        answer = 1041.2470334195475
+        result = estrada_index(nx.karate_club_graph())
+        assert answer == pytest.approx(result, abs=1e-7)