529 lines
18 KiB
Python
529 lines
18 KiB
Python
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from collections import UserDict
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import pytest
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import networkx as nx
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from networkx.utils import edges_equal
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from .test_graph import BaseAttrGraphTester
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from .test_graph import TestGraph as _TestGraph
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class BaseMultiGraphTester(BaseAttrGraphTester):
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def test_has_edge(self):
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G = self.K3
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assert G.has_edge(0, 1)
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assert not G.has_edge(0, -1)
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assert G.has_edge(0, 1, 0)
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assert not G.has_edge(0, 1, 1)
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def test_get_edge_data(self):
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G = self.K3
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assert G.get_edge_data(0, 1) == {0: {}}
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assert G[0][1] == {0: {}}
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assert G[0][1][0] == {}
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assert G.get_edge_data(10, 20) is None
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assert G.get_edge_data(0, 1, 0) == {}
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def test_adjacency(self):
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G = self.K3
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assert dict(G.adjacency()) == {
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0: {1: {0: {}}, 2: {0: {}}},
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1: {0: {0: {}}, 2: {0: {}}},
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2: {0: {0: {}}, 1: {0: {}}},
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}
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def deepcopy_edge_attr(self, H, G):
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assert G[1][2][0]["foo"] == H[1][2][0]["foo"]
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G[1][2][0]["foo"].append(1)
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assert G[1][2][0]["foo"] != H[1][2][0]["foo"]
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def shallow_copy_edge_attr(self, H, G):
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assert G[1][2][0]["foo"] == H[1][2][0]["foo"]
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G[1][2][0]["foo"].append(1)
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assert G[1][2][0]["foo"] == H[1][2][0]["foo"]
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def graphs_equal(self, H, G):
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assert G._adj == H._adj
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assert G._node == H._node
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assert G.graph == H.graph
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assert G.name == H.name
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if not G.is_directed() and not H.is_directed():
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assert H._adj[1][2][0] is H._adj[2][1][0]
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assert G._adj[1][2][0] is G._adj[2][1][0]
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else: # at least one is directed
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if not G.is_directed():
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G._pred = G._adj
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G._succ = G._adj
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if not H.is_directed():
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H._pred = H._adj
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H._succ = H._adj
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assert G._pred == H._pred
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assert G._succ == H._succ
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assert H._succ[1][2][0] is H._pred[2][1][0]
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assert G._succ[1][2][0] is G._pred[2][1][0]
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def same_attrdict(self, H, G):
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# same attrdict in the edgedata
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old_foo = H[1][2][0]["foo"]
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H.adj[1][2][0]["foo"] = "baz"
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assert G._adj == H._adj
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H.adj[1][2][0]["foo"] = old_foo
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assert G._adj == H._adj
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old_foo = H.nodes[0]["foo"]
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H.nodes[0]["foo"] = "baz"
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assert G._node == H._node
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H.nodes[0]["foo"] = old_foo
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assert G._node == H._node
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def different_attrdict(self, H, G):
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# used by graph_equal_but_different
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old_foo = H[1][2][0]["foo"]
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H.adj[1][2][0]["foo"] = "baz"
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assert G._adj != H._adj
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H.adj[1][2][0]["foo"] = old_foo
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assert G._adj == H._adj
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old_foo = H.nodes[0]["foo"]
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H.nodes[0]["foo"] = "baz"
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assert G._node != H._node
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H.nodes[0]["foo"] = old_foo
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assert G._node == H._node
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def test_to_undirected(self):
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G = self.K3
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self.add_attributes(G)
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H = nx.MultiGraph(G)
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self.is_shallow_copy(H, G)
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H = G.to_undirected()
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self.is_deepcopy(H, G)
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def test_to_directed(self):
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G = self.K3
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self.add_attributes(G)
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H = nx.MultiDiGraph(G)
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self.is_shallow_copy(H, G)
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H = G.to_directed()
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self.is_deepcopy(H, G)
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def test_number_of_edges_selfloops(self):
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G = self.K3
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G.add_edge(0, 0)
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G.add_edge(0, 0)
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G.add_edge(0, 0, key="parallel edge")
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G.remove_edge(0, 0, key="parallel edge")
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assert G.number_of_edges(0, 0) == 2
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G.remove_edge(0, 0)
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assert G.number_of_edges(0, 0) == 1
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def test_edge_lookup(self):
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G = self.Graph()
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G.add_edge(1, 2, foo="bar")
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G.add_edge(1, 2, "key", foo="biz")
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assert edges_equal(G.edges[1, 2, 0], {"foo": "bar"})
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assert edges_equal(G.edges[1, 2, "key"], {"foo": "biz"})
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def test_edge_attr(self):
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G = self.Graph()
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G.add_edge(1, 2, key="k1", foo="bar")
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G.add_edge(1, 2, key="k2", foo="baz")
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assert isinstance(G.get_edge_data(1, 2), G.edge_key_dict_factory)
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assert all(
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isinstance(d, G.edge_attr_dict_factory) for u, v, d in G.edges(data=True)
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)
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assert edges_equal(
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G.edges(keys=True, data=True),
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[(1, 2, "k1", {"foo": "bar"}), (1, 2, "k2", {"foo": "baz"})],
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)
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assert edges_equal(
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G.edges(keys=True, data="foo"), [(1, 2, "k1", "bar"), (1, 2, "k2", "baz")]
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)
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def test_edge_attr4(self):
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G = self.Graph()
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G.add_edge(1, 2, key=0, data=7, spam="bar", bar="foo")
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assert edges_equal(
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G.edges(data=True), [(1, 2, {"data": 7, "spam": "bar", "bar": "foo"})]
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)
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G[1][2][0]["data"] = 10 # OK to set data like this
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assert edges_equal(
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G.edges(data=True), [(1, 2, {"data": 10, "spam": "bar", "bar": "foo"})]
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)
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G.adj[1][2][0]["data"] = 20
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assert edges_equal(
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G.edges(data=True), [(1, 2, {"data": 20, "spam": "bar", "bar": "foo"})]
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)
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G.edges[1, 2, 0]["data"] = 21 # another spelling, "edge"
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assert edges_equal(
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G.edges(data=True), [(1, 2, {"data": 21, "spam": "bar", "bar": "foo"})]
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)
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G.adj[1][2][0]["listdata"] = [20, 200]
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G.adj[1][2][0]["weight"] = 20
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assert edges_equal(
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G.edges(data=True),
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[
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(
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1,
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2,
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{
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"data": 21,
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"spam": "bar",
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"bar": "foo",
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"listdata": [20, 200],
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"weight": 20,
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},
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)
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],
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)
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class TestMultiGraph(BaseMultiGraphTester, _TestGraph):
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def setup_method(self):
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self.Graph = nx.MultiGraph
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# build K3
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ed1, ed2, ed3 = ({0: {}}, {0: {}}, {0: {}})
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self.k3adj = {0: {1: ed1, 2: ed2}, 1: {0: ed1, 2: ed3}, 2: {0: ed2, 1: ed3}}
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self.k3edges = [(0, 1), (0, 2), (1, 2)]
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self.k3nodes = [0, 1, 2]
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self.K3 = self.Graph()
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self.K3._adj = self.k3adj
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self.K3._node = {}
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self.K3._node[0] = {}
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self.K3._node[1] = {}
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self.K3._node[2] = {}
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def test_data_input(self):
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G = self.Graph({1: [2], 2: [1]}, name="test")
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assert G.name == "test"
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expected = [(1, {2: {0: {}}}), (2, {1: {0: {}}})]
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assert sorted(G.adj.items()) == expected
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def test_data_multigraph_input(self):
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# standard case with edge keys and edge data
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edata0 = dict(w=200, s="foo")
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edata1 = dict(w=201, s="bar")
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keydict = {0: edata0, 1: edata1}
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dododod = {"a": {"b": keydict}}
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multiple_edge = [("a", "b", 0, edata0), ("a", "b", 1, edata1)]
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single_edge = [("a", "b", 0, keydict)]
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G = self.Graph(dododod, multigraph_input=True)
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assert list(G.edges(keys=True, data=True)) == multiple_edge
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G = self.Graph(dododod, multigraph_input=None)
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assert list(G.edges(keys=True, data=True)) == multiple_edge
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G = self.Graph(dododod, multigraph_input=False)
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assert list(G.edges(keys=True, data=True)) == single_edge
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# test round-trip to_dict_of_dict and MultiGraph constructor
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G = self.Graph(dododod, multigraph_input=True)
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H = self.Graph(nx.to_dict_of_dicts(G))
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assert nx.is_isomorphic(G, H) is True # test that default is True
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for mgi in [True, False]:
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H = self.Graph(nx.to_dict_of_dicts(G), multigraph_input=mgi)
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assert nx.is_isomorphic(G, H) == mgi
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# Set up cases for when incoming_graph_data is not multigraph_input
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etraits = {"w": 200, "s": "foo"}
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egraphics = {"color": "blue", "shape": "box"}
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edata = {"traits": etraits, "graphics": egraphics}
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dodod1 = {"a": {"b": edata}}
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dodod2 = {"a": {"b": etraits}}
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dodod3 = {"a": {"b": {"traits": etraits, "s": "foo"}}}
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dol = {"a": ["b"]}
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multiple_edge = [("a", "b", "traits", etraits), ("a", "b", "graphics", egraphics)]
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single_edge = [("a", "b", 0, {})] # type: ignore
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single_edge1 = [("a", "b", 0, edata)]
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single_edge2 = [("a", "b", 0, etraits)]
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single_edge3 = [("a", "b", 0, {"traits": etraits, "s": "foo"})]
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cases = [ # (dod, mgi, edges)
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(dodod1, True, multiple_edge),
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(dodod1, False, single_edge1),
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(dodod2, False, single_edge2),
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(dodod3, False, single_edge3),
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(dol, False, single_edge),
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]
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@pytest.mark.parametrize("dod, mgi, edges", cases)
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def test_non_multigraph_input(self, dod, mgi, edges):
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G = self.Graph(dod, multigraph_input=mgi)
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assert list(G.edges(keys=True, data=True)) == edges
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G = nx.to_networkx_graph(dod, create_using=self.Graph, multigraph_input=mgi)
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assert list(G.edges(keys=True, data=True)) == edges
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mgi_none_cases = [
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(dodod1, multiple_edge),
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(dodod2, single_edge2),
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(dodod3, single_edge3),
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]
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@pytest.mark.parametrize("dod, edges", mgi_none_cases)
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def test_non_multigraph_input_mgi_none(self, dod, edges):
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# test constructor without to_networkx_graph for mgi=None
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G = self.Graph(dod)
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assert list(G.edges(keys=True, data=True)) == edges
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raise_cases = [dodod2, dodod3, dol]
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@pytest.mark.parametrize("dod", raise_cases)
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def test_non_multigraph_input_raise(self, dod):
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# cases where NetworkXError is raised
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pytest.raises(nx.NetworkXError, self.Graph, dod, multigraph_input=True)
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pytest.raises(
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nx.NetworkXError,
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nx.to_networkx_graph,
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dod,
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create_using=self.Graph,
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multigraph_input=True,
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)
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def test_getitem(self):
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G = self.K3
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assert G[0] == {1: {0: {}}, 2: {0: {}}}
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with pytest.raises(KeyError):
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G.__getitem__("j")
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with pytest.raises(TypeError):
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G.__getitem__(["A"])
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def test_remove_node(self):
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G = self.K3
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G.remove_node(0)
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assert G.adj == {1: {2: {0: {}}}, 2: {1: {0: {}}}}
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with pytest.raises(nx.NetworkXError):
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G.remove_node(-1)
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def test_add_edge(self):
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G = self.Graph()
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G.add_edge(0, 1)
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assert G.adj == {0: {1: {0: {}}}, 1: {0: {0: {}}}}
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G = self.Graph()
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G.add_edge(*(0, 1))
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assert G.adj == {0: {1: {0: {}}}, 1: {0: {0: {}}}}
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G = self.Graph()
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with pytest.raises(ValueError):
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G.add_edge(None, "anything")
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def test_add_edge_conflicting_key(self):
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G = self.Graph()
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G.add_edge(0, 1, key=1)
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G.add_edge(0, 1)
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assert G.number_of_edges() == 2
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G = self.Graph()
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G.add_edges_from([(0, 1, 1, {})])
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G.add_edges_from([(0, 1)])
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assert G.number_of_edges() == 2
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def test_add_edges_from(self):
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G = self.Graph()
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G.add_edges_from([(0, 1), (0, 1, {"weight": 3})])
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assert G.adj == {
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0: {1: {0: {}, 1: {"weight": 3}}},
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1: {0: {0: {}, 1: {"weight": 3}}},
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}
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G.add_edges_from([(0, 1), (0, 1, {"weight": 3})], weight=2)
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assert G.adj == {
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0: {1: {0: {}, 1: {"weight": 3}, 2: {"weight": 2}, 3: {"weight": 3}}},
|
||
|
|
1: {0: {0: {}, 1: {"weight": 3}, 2: {"weight": 2}, 3: {"weight": 3}}},
|
||
|
|
}
|
||
|
|
G = self.Graph()
|
||
|
|
edges = [
|
||
|
|
(0, 1, {"weight": 3}),
|
||
|
|
(0, 1, (("weight", 2),)),
|
||
|
|
(0, 1, 5),
|
||
|
|
(0, 1, "s"),
|
||
|
|
]
|
||
|
|
G.add_edges_from(edges)
|
||
|
|
keydict = {0: {"weight": 3}, 1: {"weight": 2}, 5: {}, "s": {}}
|
||
|
|
assert G._adj == {0: {1: keydict}, 1: {0: keydict}}
|
||
|
|
|
||
|
|
# too few in tuple
|
||
|
|
with pytest.raises(nx.NetworkXError):
|
||
|
|
G.add_edges_from([(0,)])
|
||
|
|
# too many in tuple
|
||
|
|
with pytest.raises(nx.NetworkXError):
|
||
|
|
G.add_edges_from([(0, 1, 2, 3, 4)])
|
||
|
|
# not a tuple
|
||
|
|
with pytest.raises(TypeError):
|
||
|
|
G.add_edges_from([0])
|
||
|
|
|
||
|
|
def test_multigraph_add_edges_from_four_tuple_misordered(self):
|
||
|
|
"""add_edges_from expects 4-tuples of the format (u, v, key, data_dict).
|
||
|
|
|
||
|
|
Ensure 4-tuples of form (u, v, data_dict, key) raise exception.
|
||
|
|
"""
|
||
|
|
G = nx.MultiGraph()
|
||
|
|
with pytest.raises(TypeError):
|
||
|
|
# key/data values flipped in 4-tuple
|
||
|
|
G.add_edges_from([(0, 1, {"color": "red"}, 0)])
|
||
|
|
|
||
|
|
def test_remove_edge(self):
|
||
|
|
G = self.K3
|
||
|
|
G.remove_edge(0, 1)
|
||
|
|
assert G.adj == {0: {2: {0: {}}}, 1: {2: {0: {}}}, 2: {0: {0: {}}, 1: {0: {}}}}
|
||
|
|
|
||
|
|
with pytest.raises(nx.NetworkXError):
|
||
|
|
G.remove_edge(-1, 0)
|
||
|
|
with pytest.raises(nx.NetworkXError):
|
||
|
|
G.remove_edge(0, 2, key=1)
|
||
|
|
|
||
|
|
def test_remove_edges_from(self):
|
||
|
|
G = self.K3.copy()
|
||
|
|
G.remove_edges_from([(0, 1)])
|
||
|
|
kd = {0: {}}
|
||
|
|
assert G.adj == {0: {2: kd}, 1: {2: kd}, 2: {0: kd, 1: kd}}
|
||
|
|
G.remove_edges_from([(0, 0)]) # silent fail
|
||
|
|
self.K3.add_edge(0, 1)
|
||
|
|
G = self.K3.copy()
|
||
|
|
G.remove_edges_from(list(G.edges(data=True, keys=True)))
|
||
|
|
assert G.adj == {0: {}, 1: {}, 2: {}}
|
||
|
|
G = self.K3.copy()
|
||
|
|
G.remove_edges_from(list(G.edges(data=False, keys=True)))
|
||
|
|
assert G.adj == {0: {}, 1: {}, 2: {}}
|
||
|
|
G = self.K3.copy()
|
||
|
|
G.remove_edges_from(list(G.edges(data=False, keys=False)))
|
||
|
|
assert G.adj == {0: {}, 1: {}, 2: {}}
|
||
|
|
G = self.K3.copy()
|
||
|
|
G.remove_edges_from([(0, 1, 0), (0, 2, 0, {}), (1, 2)])
|
||
|
|
assert G.adj == {0: {1: {1: {}}}, 1: {0: {1: {}}}, 2: {}}
|
||
|
|
|
||
|
|
def test_remove_multiedge(self):
|
||
|
|
G = self.K3
|
||
|
|
G.add_edge(0, 1, key="parallel edge")
|
||
|
|
G.remove_edge(0, 1, key="parallel edge")
|
||
|
|
assert G.adj == {
|
||
|
|
0: {1: {0: {}}, 2: {0: {}}},
|
||
|
|
1: {0: {0: {}}, 2: {0: {}}},
|
||
|
|
2: {0: {0: {}}, 1: {0: {}}},
|
||
|
|
}
|
||
|
|
G.remove_edge(0, 1)
|
||
|
|
kd = {0: {}}
|
||
|
|
assert G.adj == {0: {2: kd}, 1: {2: kd}, 2: {0: kd, 1: kd}}
|
||
|
|
with pytest.raises(nx.NetworkXError):
|
||
|
|
G.remove_edge(-1, 0)
|
||
|
|
|
||
|
|
|
||
|
|
class TestEdgeSubgraph:
|
||
|
|
"""Unit tests for the :meth:`MultiGraph.edge_subgraph` method."""
|
||
|
|
|
||
|
|
def setup_method(self):
|
||
|
|
# Create a doubly-linked path graph on five nodes.
|
||
|
|
G = nx.MultiGraph()
|
||
|
|
nx.add_path(G, range(5))
|
||
|
|
nx.add_path(G, range(5))
|
||
|
|
# Add some node, edge, and graph attributes.
|
||
|
|
for i in range(5):
|
||
|
|
G.nodes[i]["name"] = f"node{i}"
|
||
|
|
G.adj[0][1][0]["name"] = "edge010"
|
||
|
|
G.adj[0][1][1]["name"] = "edge011"
|
||
|
|
G.adj[3][4][0]["name"] = "edge340"
|
||
|
|
G.adj[3][4][1]["name"] = "edge341"
|
||
|
|
G.graph["name"] = "graph"
|
||
|
|
# Get the subgraph induced by one of the first edges and one of
|
||
|
|
# the last edges.
|
||
|
|
self.G = G
|
||
|
|
self.H = G.edge_subgraph([(0, 1, 0), (3, 4, 1)])
|
||
|
|
|
||
|
|
def test_correct_nodes(self):
|
||
|
|
"""Tests that the subgraph has the correct nodes."""
|
||
|
|
assert [0, 1, 3, 4] == sorted(self.H.nodes())
|
||
|
|
|
||
|
|
def test_correct_edges(self):
|
||
|
|
"""Tests that the subgraph has the correct edges."""
|
||
|
|
assert [(0, 1, 0, "edge010"), (3, 4, 1, "edge341")] == sorted(
|
||
|
|
self.H.edges(keys=True, data="name")
|
||
|
|
)
|
||
|
|
|
||
|
|
def test_add_node(self):
|
||
|
|
"""Tests that adding a node to the original graph does not
|
||
|
|
affect the nodes of the subgraph.
|
||
|
|
|
||
|
|
"""
|
||
|
|
self.G.add_node(5)
|
||
|
|
assert [0, 1, 3, 4] == sorted(self.H.nodes())
|
||
|
|
|
||
|
|
def test_remove_node(self):
|
||
|
|
"""Tests that removing a node in the original graph does
|
||
|
|
affect the nodes of the subgraph.
|
||
|
|
|
||
|
|
"""
|
||
|
|
self.G.remove_node(0)
|
||
|
|
assert [1, 3, 4] == sorted(self.H.nodes())
|
||
|
|
|
||
|
|
def test_node_attr_dict(self):
|
||
|
|
"""Tests that the node attribute dictionary of the two graphs is
|
||
|
|
the same object.
|
||
|
|
|
||
|
|
"""
|
||
|
|
for v in self.H:
|
||
|
|
assert self.G.nodes[v] == self.H.nodes[v]
|
||
|
|
# Making a change to G should make a change in H and vice versa.
|
||
|
|
self.G.nodes[0]["name"] = "foo"
|
||
|
|
assert self.G.nodes[0] == self.H.nodes[0]
|
||
|
|
self.H.nodes[1]["name"] = "bar"
|
||
|
|
assert self.G.nodes[1] == self.H.nodes[1]
|
||
|
|
|
||
|
|
def test_edge_attr_dict(self):
|
||
|
|
"""Tests that the edge attribute dictionary of the two graphs is
|
||
|
|
the same object.
|
||
|
|
|
||
|
|
"""
|
||
|
|
for u, v, k in self.H.edges(keys=True):
|
||
|
|
assert self.G._adj[u][v][k] == self.H._adj[u][v][k]
|
||
|
|
# Making a change to G should make a change in H and vice versa.
|
||
|
|
self.G._adj[0][1][0]["name"] = "foo"
|
||
|
|
assert self.G._adj[0][1][0]["name"] == self.H._adj[0][1][0]["name"]
|
||
|
|
self.H._adj[3][4][1]["name"] = "bar"
|
||
|
|
assert self.G._adj[3][4][1]["name"] == self.H._adj[3][4][1]["name"]
|
||
|
|
|
||
|
|
def test_graph_attr_dict(self):
|
||
|
|
"""Tests that the graph attribute dictionary of the two graphs
|
||
|
|
is the same object.
|
||
|
|
|
||
|
|
"""
|
||
|
|
assert self.G.graph is self.H.graph
|
||
|
|
|
||
|
|
|
||
|
|
class CustomDictClass(UserDict):
|
||
|
|
pass
|
||
|
|
|
||
|
|
|
||
|
|
class MultiGraphSubClass(nx.MultiGraph):
|
||
|
|
node_dict_factory = CustomDictClass # type: ignore
|
||
|
|
node_attr_dict_factory = CustomDictClass # type: ignore
|
||
|
|
adjlist_outer_dict_factory = CustomDictClass # type: ignore
|
||
|
|
adjlist_inner_dict_factory = CustomDictClass # type: ignore
|
||
|
|
edge_key_dict_factory = CustomDictClass # type: ignore
|
||
|
|
edge_attr_dict_factory = CustomDictClass # type: ignore
|
||
|
|
graph_attr_dict_factory = CustomDictClass # type: ignore
|
||
|
|
|
||
|
|
|
||
|
|
class TestMultiGraphSubclass(TestMultiGraph):
|
||
|
|
def setup_method(self):
|
||
|
|
self.Graph = MultiGraphSubClass
|
||
|
|
# build K3
|
||
|
|
self.k3edges = [(0, 1), (0, 2), (1, 2)]
|
||
|
|
self.k3nodes = [0, 1, 2]
|
||
|
|
self.K3 = self.Graph()
|
||
|
|
self.K3._adj = self.K3.adjlist_outer_dict_factory(
|
||
|
|
{
|
||
|
|
0: self.K3.adjlist_inner_dict_factory(),
|
||
|
|
1: self.K3.adjlist_inner_dict_factory(),
|
||
|
|
2: self.K3.adjlist_inner_dict_factory(),
|
||
|
|
}
|
||
|
|
)
|
||
|
|
self.K3._pred = {0: {}, 1: {}, 2: {}}
|
||
|
|
for u in self.k3nodes:
|
||
|
|
for v in self.k3nodes:
|
||
|
|
if u != v:
|
||
|
|
d = {0: {}}
|
||
|
|
self.K3._adj[u][v] = d
|
||
|
|
self.K3._adj[v][u] = d
|
||
|
|
self.K3._node = self.K3.node_dict_factory()
|
||
|
|
self.K3._node[0] = self.K3.node_attr_dict_factory()
|
||
|
|
self.K3._node[1] = self.K3.node_attr_dict_factory()
|
||
|
|
self.K3._node[2] = self.K3.node_attr_dict_factory()
|