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author | S. Solomon Darnell | 2025-03-28 21:52:21 -0500 |
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committer | S. Solomon Darnell | 2025-03-28 21:52:21 -0500 |
commit | 4a52a71956a8d46fcb7294ac71734504bb09bcc2 (patch) | |
tree | ee3dc5af3b6313e921cd920906356f5d4febc4ed /.venv/lib/python3.12/site-packages/networkx/algorithms/community/tests/test_divisive.py | |
parent | cc961e04ba734dd72309fb548a2f97d67d578813 (diff) | |
download | gn-ai-master.tar.gz |
Diffstat (limited to '.venv/lib/python3.12/site-packages/networkx/algorithms/community/tests/test_divisive.py')
-rw-r--r-- | .venv/lib/python3.12/site-packages/networkx/algorithms/community/tests/test_divisive.py | 106 |
1 files changed, 106 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/networkx/algorithms/community/tests/test_divisive.py b/.venv/lib/python3.12/site-packages/networkx/algorithms/community/tests/test_divisive.py new file mode 100644 index 00000000..6331503f --- /dev/null +++ b/.venv/lib/python3.12/site-packages/networkx/algorithms/community/tests/test_divisive.py @@ -0,0 +1,106 @@ +import pytest + +import networkx as nx + + +def test_edge_betweenness_partition(): + G = nx.barbell_graph(3, 0) + C = nx.community.edge_betweenness_partition(G, 2) + answer = [{0, 1, 2}, {3, 4, 5}] + assert len(C) == len(answer) + for s in answer: + assert s in C + + G = nx.barbell_graph(3, 1) + C = nx.community.edge_betweenness_partition(G, 3) + answer = [{0, 1, 2}, {4, 5, 6}, {3}] + assert len(C) == len(answer) + for s in answer: + assert s in C + + C = nx.community.edge_betweenness_partition(G, 7) + answer = [{n} for n in G] + assert len(C) == len(answer) + for s in answer: + assert s in C + + C = nx.community.edge_betweenness_partition(G, 1) + assert C == [set(G)] + + C = nx.community.edge_betweenness_partition(G, 1, weight="weight") + assert C == [set(G)] + + with pytest.raises(nx.NetworkXError): + nx.community.edge_betweenness_partition(G, 0) + + with pytest.raises(nx.NetworkXError): + nx.community.edge_betweenness_partition(G, -1) + + with pytest.raises(nx.NetworkXError): + nx.community.edge_betweenness_partition(G, 10) + + +def test_edge_current_flow_betweenness_partition(): + pytest.importorskip("scipy") + + G = nx.barbell_graph(3, 0) + C = nx.community.edge_current_flow_betweenness_partition(G, 2) + answer = [{0, 1, 2}, {3, 4, 5}] + assert len(C) == len(answer) + for s in answer: + assert s in C + + G = nx.barbell_graph(3, 1) + C = nx.community.edge_current_flow_betweenness_partition(G, 2) + answers = [[{0, 1, 2, 3}, {4, 5, 6}], [{0, 1, 2}, {3, 4, 5, 6}]] + assert len(C) == len(answers[0]) + assert any(all(s in answer for s in C) for answer in answers) + + C = nx.community.edge_current_flow_betweenness_partition(G, 3) + answer = [{0, 1, 2}, {4, 5, 6}, {3}] + assert len(C) == len(answer) + for s in answer: + assert s in C + + C = nx.community.edge_current_flow_betweenness_partition(G, 4) + answers = [[{1, 2}, {4, 5, 6}, {3}, {0}], [{0, 1, 2}, {5, 6}, {3}, {4}]] + assert len(C) == len(answers[0]) + assert any(all(s in answer for s in C) for answer in answers) + + C = nx.community.edge_current_flow_betweenness_partition(G, 5) + answer = [{1, 2}, {5, 6}, {3}, {0}, {4}] + assert len(C) == len(answer) + for s in answer: + assert s in C + + C = nx.community.edge_current_flow_betweenness_partition(G, 6) + answers = [[{2}, {5, 6}, {3}, {0}, {4}, {1}], [{1, 2}, {6}, {3}, {0}, {4}, {5}]] + assert len(C) == len(answers[0]) + assert any(all(s in answer for s in C) for answer in answers) + + C = nx.community.edge_current_flow_betweenness_partition(G, 7) + answer = [{n} for n in G] + assert len(C) == len(answer) + for s in answer: + assert s in C + + C = nx.community.edge_current_flow_betweenness_partition(G, 1) + assert C == [set(G)] + + C = nx.community.edge_current_flow_betweenness_partition(G, 1, weight="weight") + assert C == [set(G)] + + with pytest.raises(nx.NetworkXError): + nx.community.edge_current_flow_betweenness_partition(G, 0) + + with pytest.raises(nx.NetworkXError): + nx.community.edge_current_flow_betweenness_partition(G, -1) + + with pytest.raises(nx.NetworkXError): + nx.community.edge_current_flow_betweenness_partition(G, 10) + + N = 10 + G = nx.empty_graph(N) + for i in range(2, N - 1): + C = nx.community.edge_current_flow_betweenness_partition(G, i) + assert C == [{n} for n in G] |