322 lines
12 KiB
Python
322 lines
12 KiB
Python
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import pytest
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import networkx as nx
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from networkx.convert import (
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from_dict_of_dicts,
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from_dict_of_lists,
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to_dict_of_dicts,
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to_dict_of_lists,
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to_networkx_graph,
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)
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from networkx.generators.classic import barbell_graph, cycle_graph
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from networkx.utils import edges_equal, graphs_equal, nodes_equal
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class TestConvert:
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def edgelists_equal(self, e1, e2):
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return sorted(sorted(e) for e in e1) == sorted(sorted(e) for e in e2)
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def test_simple_graphs(self):
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for dest, source in [
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(to_dict_of_dicts, from_dict_of_dicts),
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(to_dict_of_lists, from_dict_of_lists),
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]:
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G = barbell_graph(10, 3)
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G.graph = {}
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dod = dest(G)
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# Dict of [dicts, lists]
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GG = source(dod)
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assert graphs_equal(G, GG)
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GW = to_networkx_graph(dod)
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assert graphs_equal(G, GW)
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GI = nx.Graph(dod)
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assert graphs_equal(G, GI)
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# With nodelist keyword
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P4 = nx.path_graph(4)
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P3 = nx.path_graph(3)
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P4.graph = {}
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P3.graph = {}
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dod = dest(P4, nodelist=[0, 1, 2])
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Gdod = nx.Graph(dod)
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assert graphs_equal(Gdod, P3)
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def test_exceptions(self):
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# NX graph
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class G:
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adj = None
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pytest.raises(nx.NetworkXError, to_networkx_graph, G)
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# pygraphviz agraph
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class G:
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is_strict = None
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pytest.raises(nx.NetworkXError, to_networkx_graph, G)
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# Dict of [dicts, lists]
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G = {"a": 0}
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pytest.raises(TypeError, to_networkx_graph, G)
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# list or generator of edges
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class G:
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next = None
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pytest.raises(nx.NetworkXError, to_networkx_graph, G)
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# no match
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pytest.raises(nx.NetworkXError, to_networkx_graph, "a")
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def test_digraphs(self):
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for dest, source in [
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(to_dict_of_dicts, from_dict_of_dicts),
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(to_dict_of_lists, from_dict_of_lists),
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]:
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G = cycle_graph(10)
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# Dict of [dicts, lists]
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dod = dest(G)
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GG = source(dod)
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assert nodes_equal(sorted(G.nodes()), sorted(GG.nodes()))
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assert edges_equal(sorted(G.edges()), sorted(GG.edges()))
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GW = to_networkx_graph(dod)
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assert nodes_equal(sorted(G.nodes()), sorted(GW.nodes()))
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assert edges_equal(sorted(G.edges()), sorted(GW.edges()))
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GI = nx.Graph(dod)
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assert nodes_equal(sorted(G.nodes()), sorted(GI.nodes()))
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assert edges_equal(sorted(G.edges()), sorted(GI.edges()))
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G = cycle_graph(10, create_using=nx.DiGraph)
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dod = dest(G)
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GG = source(dod, create_using=nx.DiGraph)
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assert sorted(G.nodes()) == sorted(GG.nodes())
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assert sorted(G.edges()) == sorted(GG.edges())
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GW = to_networkx_graph(dod, create_using=nx.DiGraph)
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assert sorted(G.nodes()) == sorted(GW.nodes())
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assert sorted(G.edges()) == sorted(GW.edges())
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GI = nx.DiGraph(dod)
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assert sorted(G.nodes()) == sorted(GI.nodes())
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assert sorted(G.edges()) == sorted(GI.edges())
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def test_graph(self):
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g = nx.cycle_graph(10)
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G = nx.Graph()
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G.add_nodes_from(g)
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G.add_weighted_edges_from((u, v, u) for u, v in g.edges())
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# Dict of dicts
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dod = to_dict_of_dicts(G)
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GG = from_dict_of_dicts(dod, create_using=nx.Graph)
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assert nodes_equal(sorted(G.nodes()), sorted(GG.nodes()))
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assert edges_equal(sorted(G.edges()), sorted(GG.edges()))
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GW = to_networkx_graph(dod, create_using=nx.Graph)
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assert nodes_equal(sorted(G.nodes()), sorted(GW.nodes()))
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assert edges_equal(sorted(G.edges()), sorted(GW.edges()))
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GI = nx.Graph(dod)
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assert sorted(G.nodes()) == sorted(GI.nodes())
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assert sorted(G.edges()) == sorted(GI.edges())
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# Dict of lists
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dol = to_dict_of_lists(G)
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GG = from_dict_of_lists(dol, create_using=nx.Graph)
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# dict of lists throws away edge data so set it to none
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enone = [(u, v, {}) for (u, v, d) in G.edges(data=True)]
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assert nodes_equal(sorted(G.nodes()), sorted(GG.nodes()))
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assert edges_equal(enone, sorted(GG.edges(data=True)))
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GW = to_networkx_graph(dol, create_using=nx.Graph)
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assert nodes_equal(sorted(G.nodes()), sorted(GW.nodes()))
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assert edges_equal(enone, sorted(GW.edges(data=True)))
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GI = nx.Graph(dol)
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assert nodes_equal(sorted(G.nodes()), sorted(GI.nodes()))
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assert edges_equal(enone, sorted(GI.edges(data=True)))
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def test_with_multiedges_self_loops(self):
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G = cycle_graph(10)
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XG = nx.Graph()
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XG.add_nodes_from(G)
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XG.add_weighted_edges_from((u, v, u) for u, v in G.edges())
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XGM = nx.MultiGraph()
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XGM.add_nodes_from(G)
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XGM.add_weighted_edges_from((u, v, u) for u, v in G.edges())
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XGM.add_edge(0, 1, weight=2) # multiedge
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XGS = nx.Graph()
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XGS.add_nodes_from(G)
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XGS.add_weighted_edges_from((u, v, u) for u, v in G.edges())
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XGS.add_edge(0, 0, weight=100) # self loop
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# Dict of dicts
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# with self loops, OK
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dod = to_dict_of_dicts(XGS)
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GG = from_dict_of_dicts(dod, create_using=nx.Graph)
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assert nodes_equal(XGS.nodes(), GG.nodes())
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assert edges_equal(XGS.edges(), GG.edges())
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GW = to_networkx_graph(dod, create_using=nx.Graph)
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assert nodes_equal(XGS.nodes(), GW.nodes())
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assert edges_equal(XGS.edges(), GW.edges())
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GI = nx.Graph(dod)
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assert nodes_equal(XGS.nodes(), GI.nodes())
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assert edges_equal(XGS.edges(), GI.edges())
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# Dict of lists
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# with self loops, OK
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dol = to_dict_of_lists(XGS)
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GG = from_dict_of_lists(dol, create_using=nx.Graph)
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# dict of lists throws away edge data so set it to none
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enone = [(u, v, {}) for (u, v, d) in XGS.edges(data=True)]
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assert nodes_equal(sorted(XGS.nodes()), sorted(GG.nodes()))
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assert edges_equal(enone, sorted(GG.edges(data=True)))
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GW = to_networkx_graph(dol, create_using=nx.Graph)
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assert nodes_equal(sorted(XGS.nodes()), sorted(GW.nodes()))
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assert edges_equal(enone, sorted(GW.edges(data=True)))
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GI = nx.Graph(dol)
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assert nodes_equal(sorted(XGS.nodes()), sorted(GI.nodes()))
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assert edges_equal(enone, sorted(GI.edges(data=True)))
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# Dict of dicts
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# with multiedges, OK
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dod = to_dict_of_dicts(XGM)
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GG = from_dict_of_dicts(dod, create_using=nx.MultiGraph, multigraph_input=True)
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assert nodes_equal(sorted(XGM.nodes()), sorted(GG.nodes()))
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assert edges_equal(sorted(XGM.edges()), sorted(GG.edges()))
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GW = to_networkx_graph(dod, create_using=nx.MultiGraph, multigraph_input=True)
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assert nodes_equal(sorted(XGM.nodes()), sorted(GW.nodes()))
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assert edges_equal(sorted(XGM.edges()), sorted(GW.edges()))
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GI = nx.MultiGraph(dod)
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assert nodes_equal(sorted(XGM.nodes()), sorted(GI.nodes()))
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assert sorted(XGM.edges()) == sorted(GI.edges())
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GE = from_dict_of_dicts(dod, create_using=nx.MultiGraph, multigraph_input=False)
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assert nodes_equal(sorted(XGM.nodes()), sorted(GE.nodes()))
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assert sorted(XGM.edges()) != sorted(GE.edges())
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GI = nx.MultiGraph(XGM)
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assert nodes_equal(sorted(XGM.nodes()), sorted(GI.nodes()))
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assert edges_equal(sorted(XGM.edges()), sorted(GI.edges()))
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GM = nx.MultiGraph(G)
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assert nodes_equal(sorted(GM.nodes()), sorted(G.nodes()))
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assert edges_equal(sorted(GM.edges()), sorted(G.edges()))
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# Dict of lists
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# with multiedges, OK, but better write as DiGraph else you'll
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# get double edges
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dol = to_dict_of_lists(G)
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GG = from_dict_of_lists(dol, create_using=nx.MultiGraph)
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assert nodes_equal(sorted(G.nodes()), sorted(GG.nodes()))
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assert edges_equal(sorted(G.edges()), sorted(GG.edges()))
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GW = to_networkx_graph(dol, create_using=nx.MultiGraph)
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assert nodes_equal(sorted(G.nodes()), sorted(GW.nodes()))
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assert edges_equal(sorted(G.edges()), sorted(GW.edges()))
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GI = nx.MultiGraph(dol)
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assert nodes_equal(sorted(G.nodes()), sorted(GI.nodes()))
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assert edges_equal(sorted(G.edges()), sorted(GI.edges()))
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def test_edgelists(self):
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P = nx.path_graph(4)
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e = [(0, 1), (1, 2), (2, 3)]
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G = nx.Graph(e)
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assert nodes_equal(sorted(G.nodes()), sorted(P.nodes()))
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assert edges_equal(sorted(G.edges()), sorted(P.edges()))
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assert edges_equal(sorted(G.edges(data=True)), sorted(P.edges(data=True)))
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e = [(0, 1, {}), (1, 2, {}), (2, 3, {})]
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G = nx.Graph(e)
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assert nodes_equal(sorted(G.nodes()), sorted(P.nodes()))
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assert edges_equal(sorted(G.edges()), sorted(P.edges()))
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assert edges_equal(sorted(G.edges(data=True)), sorted(P.edges(data=True)))
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e = ((n, n + 1) for n in range(3))
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G = nx.Graph(e)
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assert nodes_equal(sorted(G.nodes()), sorted(P.nodes()))
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assert edges_equal(sorted(G.edges()), sorted(P.edges()))
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assert edges_equal(sorted(G.edges(data=True)), sorted(P.edges(data=True)))
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def test_directed_to_undirected(self):
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edges1 = [(0, 1), (1, 2), (2, 0)]
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edges2 = [(0, 1), (1, 2), (0, 2)]
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assert self.edgelists_equal(nx.Graph(nx.DiGraph(edges1)).edges(), edges1)
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assert self.edgelists_equal(nx.Graph(nx.DiGraph(edges2)).edges(), edges1)
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assert self.edgelists_equal(nx.MultiGraph(nx.DiGraph(edges1)).edges(), edges1)
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assert self.edgelists_equal(nx.MultiGraph(nx.DiGraph(edges2)).edges(), edges1)
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assert self.edgelists_equal(
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nx.MultiGraph(nx.MultiDiGraph(edges1)).edges(), edges1
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)
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assert self.edgelists_equal(
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nx.MultiGraph(nx.MultiDiGraph(edges2)).edges(), edges1
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)
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assert self.edgelists_equal(nx.Graph(nx.MultiDiGraph(edges1)).edges(), edges1)
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assert self.edgelists_equal(nx.Graph(nx.MultiDiGraph(edges2)).edges(), edges1)
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def test_attribute_dict_integrity(self):
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# we must not replace dict-like graph data structures with dicts
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G = nx.Graph()
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G.add_nodes_from("abc")
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H = to_networkx_graph(G, create_using=nx.Graph)
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assert list(H.nodes) == list(G.nodes)
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H = nx.DiGraph(G)
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assert list(H.nodes) == list(G.nodes)
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def test_to_edgelist(self):
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G = nx.Graph([(1, 1)])
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elist = nx.to_edgelist(G, nodelist=list(G))
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assert edges_equal(G.edges(data=True), elist)
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def test_custom_node_attr_dict_safekeeping(self):
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class custom_dict(dict):
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pass
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class Custom(nx.Graph):
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node_attr_dict_factory = custom_dict
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g = nx.Graph()
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g.add_node(1, weight=1)
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h = Custom(g)
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assert isinstance(g._node[1], dict)
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assert isinstance(h._node[1], custom_dict)
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# this raise exception
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# h._node.update((n, dd.copy()) for n, dd in g.nodes.items())
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# assert isinstance(h._node[1], custom_dict)
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@pytest.mark.parametrize(
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"edgelist",
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(
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# Graph with no edge data
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[(0, 1), (1, 2)],
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# Graph with edge data
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[(0, 1, {"weight": 1.0}), (1, 2, {"weight": 2.0})],
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),
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)
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def test_to_dict_of_dicts_with_edgedata_param(edgelist):
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G = nx.Graph()
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G.add_edges_from(edgelist)
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# Innermost dict value == edge_data when edge_data != None.
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# In the case when G has edge data, it is overwritten
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expected = {0: {1: 10}, 1: {0: 10, 2: 10}, 2: {1: 10}}
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assert nx.to_dict_of_dicts(G, edge_data=10) == expected
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def test_to_dict_of_dicts_with_edgedata_and_nodelist():
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G = nx.path_graph(5)
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nodelist = [2, 3, 4]
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expected = {2: {3: 10}, 3: {2: 10, 4: 10}, 4: {3: 10}}
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assert nx.to_dict_of_dicts(G, nodelist=nodelist, edge_data=10) == expected
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def test_to_dict_of_dicts_with_edgedata_multigraph():
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"""Multi edge data overwritten when edge_data != None"""
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G = nx.MultiGraph()
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G.add_edge(0, 1, key="a")
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G.add_edge(0, 1, key="b")
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# Multi edge data lost when edge_data is not None
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expected = {0: {1: 10}, 1: {0: 10}}
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assert nx.to_dict_of_dicts(G, edge_data=10) == expected
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def test_to_networkx_graph_non_edgelist():
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invalid_edgelist = [1, 2, 3]
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with pytest.raises(nx.NetworkXError, match="Input is not a valid edge list"):
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nx.to_networkx_graph(invalid_edgelist)
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