Mercurial > repos > shellac > sam_consensus_v3
diff env/lib/python3.9/site-packages/networkx/generators/tests/test_small.py @ 0:4f3585e2f14b draft default tip
"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/env/lib/python3.9/site-packages/networkx/generators/tests/test_small.py Mon Mar 22 18:12:50 2021 +0000 @@ -0,0 +1,188 @@ +import pytest +import networkx as nx +from networkx.algorithms.isomorphism.isomorph import graph_could_be_isomorphic + +is_isomorphic = graph_could_be_isomorphic + +"""Generators - Small +===================== + +Some small graphs +""" + +null = nx.null_graph() + + +class TestGeneratorsSmall: + def test_make_small_graph(self): + d = ["adjacencylist", "Bull Graph", 5, [[2, 3], [1, 3, 4], [1, 2, 5], [2], [3]]] + G = nx.make_small_graph(d) + assert is_isomorphic(G, nx.bull_graph()) + + # Test small graph creation error with wrong ltype + d[0] = "erroneouslist" + pytest.raises(nx.NetworkXError, nx.make_small_graph, graph_description=d) + + def test__LCF_graph(self): + # If n<=0, then return the null_graph + G = nx.LCF_graph(-10, [1, 2], 100) + assert is_isomorphic(G, null) + G = nx.LCF_graph(0, [1, 2], 3) + assert is_isomorphic(G, null) + G = nx.LCF_graph(0, [1, 2], 10) + assert is_isomorphic(G, null) + + # Test that LCF(n,[],0) == cycle_graph(n) + for a, b, c in [(5, [], 0), (10, [], 0), (5, [], 1), (10, [], 10)]: + G = nx.LCF_graph(a, b, c) + assert is_isomorphic(G, nx.cycle_graph(a)) + + # Generate the utility graph K_{3,3} + G = nx.LCF_graph(6, [3, -3], 3) + utility_graph = nx.complete_bipartite_graph(3, 3) + assert is_isomorphic(G, utility_graph) + + def test_properties_named_small_graphs(self): + G = nx.bull_graph() + assert G.number_of_nodes() == 5 + assert G.number_of_edges() == 5 + assert sorted(d for n, d in G.degree()) == [1, 1, 2, 3, 3] + assert nx.diameter(G) == 3 + assert nx.radius(G) == 2 + + G = nx.chvatal_graph() + assert G.number_of_nodes() == 12 + assert G.number_of_edges() == 24 + assert list(d for n, d in G.degree()) == 12 * [4] + assert nx.diameter(G) == 2 + assert nx.radius(G) == 2 + + G = nx.cubical_graph() + assert G.number_of_nodes() == 8 + assert G.number_of_edges() == 12 + assert list(d for n, d in G.degree()) == 8 * [3] + assert nx.diameter(G) == 3 + assert nx.radius(G) == 3 + + G = nx.desargues_graph() + assert G.number_of_nodes() == 20 + assert G.number_of_edges() == 30 + assert list(d for n, d in G.degree()) == 20 * [3] + + G = nx.diamond_graph() + assert G.number_of_nodes() == 4 + assert sorted(d for n, d in G.degree()) == [2, 2, 3, 3] + assert nx.diameter(G) == 2 + assert nx.radius(G) == 1 + + G = nx.dodecahedral_graph() + assert G.number_of_nodes() == 20 + assert G.number_of_edges() == 30 + assert list(d for n, d in G.degree()) == 20 * [3] + assert nx.diameter(G) == 5 + assert nx.radius(G) == 5 + + G = nx.frucht_graph() + assert G.number_of_nodes() == 12 + assert G.number_of_edges() == 18 + assert list(d for n, d in G.degree()) == 12 * [3] + assert nx.diameter(G) == 4 + assert nx.radius(G) == 3 + + G = nx.heawood_graph() + assert G.number_of_nodes() == 14 + assert G.number_of_edges() == 21 + assert list(d for n, d in G.degree()) == 14 * [3] + assert nx.diameter(G) == 3 + assert nx.radius(G) == 3 + + G = nx.hoffman_singleton_graph() + assert G.number_of_nodes() == 50 + assert G.number_of_edges() == 175 + assert list(d for n, d in G.degree()) == 50 * [7] + assert nx.diameter(G) == 2 + assert nx.radius(G) == 2 + + G = nx.house_graph() + assert G.number_of_nodes() == 5 + assert G.number_of_edges() == 6 + assert sorted(d for n, d in G.degree()) == [2, 2, 2, 3, 3] + assert nx.diameter(G) == 2 + assert nx.radius(G) == 2 + + G = nx.house_x_graph() + assert G.number_of_nodes() == 5 + assert G.number_of_edges() == 8 + assert sorted(d for n, d in G.degree()) == [2, 3, 3, 4, 4] + assert nx.diameter(G) == 2 + assert nx.radius(G) == 1 + + G = nx.icosahedral_graph() + assert G.number_of_nodes() == 12 + assert G.number_of_edges() == 30 + assert list(d for n, d in G.degree()) == [5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5] + assert nx.diameter(G) == 3 + assert nx.radius(G) == 3 + + G = nx.krackhardt_kite_graph() + assert G.number_of_nodes() == 10 + assert G.number_of_edges() == 18 + assert sorted(d for n, d in G.degree()) == [1, 2, 3, 3, 3, 4, 4, 5, 5, 6] + + G = nx.moebius_kantor_graph() + assert G.number_of_nodes() == 16 + assert G.number_of_edges() == 24 + assert list(d for n, d in G.degree()) == 16 * [3] + assert nx.diameter(G) == 4 + + G = nx.octahedral_graph() + assert G.number_of_nodes() == 6 + assert G.number_of_edges() == 12 + assert list(d for n, d in G.degree()) == 6 * [4] + assert nx.diameter(G) == 2 + assert nx.radius(G) == 2 + + G = nx.pappus_graph() + assert G.number_of_nodes() == 18 + assert G.number_of_edges() == 27 + assert list(d for n, d in G.degree()) == 18 * [3] + assert nx.diameter(G) == 4 + + G = nx.petersen_graph() + assert G.number_of_nodes() == 10 + assert G.number_of_edges() == 15 + assert list(d for n, d in G.degree()) == 10 * [3] + assert nx.diameter(G) == 2 + assert nx.radius(G) == 2 + + G = nx.sedgewick_maze_graph() + assert G.number_of_nodes() == 8 + assert G.number_of_edges() == 10 + assert sorted(d for n, d in G.degree()) == [1, 2, 2, 2, 3, 3, 3, 4] + + G = nx.tetrahedral_graph() + assert G.number_of_nodes() == 4 + assert G.number_of_edges() == 6 + assert list(d for n, d in G.degree()) == [3, 3, 3, 3] + assert nx.diameter(G) == 1 + assert nx.radius(G) == 1 + + G = nx.truncated_cube_graph() + assert G.number_of_nodes() == 24 + assert G.number_of_edges() == 36 + assert list(d for n, d in G.degree()) == 24 * [3] + + G = nx.truncated_tetrahedron_graph() + assert G.number_of_nodes() == 12 + assert G.number_of_edges() == 18 + assert list(d for n, d in G.degree()) == 12 * [3] + + G = nx.tutte_graph() + assert G.number_of_nodes() == 46 + assert G.number_of_edges() == 69 + assert list(d for n, d in G.degree()) == 46 * [3] + + # Test create_using with directed or multigraphs on small graphs + pytest.raises(nx.NetworkXError, nx.tutte_graph, create_using=nx.DiGraph) + MG = nx.tutte_graph(create_using=nx.MultiGraph) + assert sorted(MG.edges()) == sorted(G.edges())