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"""Original NetworkX graph tests"""
import pytest
import networkx as nx
from networkx import convert_node_labels_to_integers as cnlti
from networkx.utils import edges_equal, nodes_equal
class HistoricalTests:
@classmethod
def setup_class(cls):
cls.null = nx.null_graph()
cls.P1 = cnlti(nx.path_graph(1), first_label=1)
cls.P3 = cnlti(nx.path_graph(3), first_label=1)
cls.P10 = cnlti(nx.path_graph(10), first_label=1)
cls.K1 = cnlti(nx.complete_graph(1), first_label=1)
cls.K3 = cnlti(nx.complete_graph(3), first_label=1)
cls.K4 = cnlti(nx.complete_graph(4), first_label=1)
cls.K5 = cnlti(nx.complete_graph(5), first_label=1)
cls.K10 = cnlti(nx.complete_graph(10), first_label=1)
cls.G = nx.Graph
def test_name(self):
G = self.G(name="test")
assert G.name == "test"
H = self.G()
assert H.name == ""
# Nodes
def test_add_remove_node(self):
G = self.G()
G.add_node("A")
assert G.has_node("A")
G.remove_node("A")
assert not G.has_node("A")
def test_nonhashable_node(self):
# Test if a non-hashable object is in the Graph. A python dict will
# raise a TypeError, but for a Graph class a simple False should be
# returned (see Graph __contains__). If it cannot be a node then it is
# not a node.
G = self.G()
assert not G.has_node(["A"])
assert not G.has_node({"A": 1})
def test_add_nodes_from(self):
G = self.G()
G.add_nodes_from(list("ABCDEFGHIJKL"))
assert G.has_node("L")
G.remove_nodes_from(["H", "I", "J", "K", "L"])
G.add_nodes_from([1, 2, 3, 4])
assert sorted(G.nodes(), key=str) == [
1,
2,
3,
4,
"A",
"B",
"C",
"D",
"E",
"F",
"G",
]
# test __iter__
assert sorted(G, key=str) == [1, 2, 3, 4, "A", "B", "C", "D", "E", "F", "G"]
def test_contains(self):
G = self.G()
G.add_node("A")
assert "A" in G
assert [] not in G # never raise a Key or TypeError in this test
assert {1: 1} not in G
def test_add_remove(self):
# Test add_node and remove_node acting for various nbunch
G = self.G()
G.add_node("m")
assert G.has_node("m")
G.add_node("m") # no complaints
pytest.raises(nx.NetworkXError, G.remove_node, "j")
G.remove_node("m")
assert list(G) == []
def test_nbunch_is_list(self):
G = self.G()
G.add_nodes_from(list("ABCD"))
G.add_nodes_from(self.P3) # add nbunch of nodes (nbunch=Graph)
assert sorted(G.nodes(), key=str) == [1, 2, 3, "A", "B", "C", "D"]
G.remove_nodes_from(self.P3) # remove nbunch of nodes (nbunch=Graph)
assert sorted(G.nodes(), key=str) == ["A", "B", "C", "D"]
def test_nbunch_is_set(self):
G = self.G()
nbunch = set("ABCDEFGHIJKL")
G.add_nodes_from(nbunch)
assert G.has_node("L")
def test_nbunch_dict(self):
# nbunch is a dict with nodes as keys
G = self.G()
nbunch = set("ABCDEFGHIJKL")
G.add_nodes_from(nbunch)
nbunch = {"I": "foo", "J": 2, "K": True, "L": "spam"}
G.remove_nodes_from(nbunch)
assert sorted(G.nodes(), key=str), ["A", "B", "C", "D", "E", "F", "G", "H"]
def test_nbunch_iterator(self):
G = self.G()
G.add_nodes_from(["A", "B", "C", "D", "E", "F", "G", "H"])
n_iter = self.P3.nodes()
G.add_nodes_from(n_iter)
assert sorted(G.nodes(), key=str) == [
1,
2,
3,
"A",
"B",
"C",
"D",
"E",
"F",
"G",
"H",
]
n_iter = self.P3.nodes() # rebuild same iterator
G.remove_nodes_from(n_iter) # remove nbunch of nodes (nbunch=iterator)
assert sorted(G.nodes(), key=str) == ["A", "B", "C", "D", "E", "F", "G", "H"]
def test_nbunch_graph(self):
G = self.G()
G.add_nodes_from(["A", "B", "C", "D", "E", "F", "G", "H"])
nbunch = self.K3
G.add_nodes_from(nbunch)
assert sorted(G.nodes(), key=str), [
1,
2,
3,
"A",
"B",
"C",
"D",
"E",
"F",
"G",
"H",
]
# Edges
def test_add_edge(self):
G = self.G()
pytest.raises(TypeError, G.add_edge, "A")
G.add_edge("A", "B") # testing add_edge()
G.add_edge("A", "B") # should fail silently
assert G.has_edge("A", "B")
assert not G.has_edge("A", "C")
assert G.has_edge(*("A", "B"))
if G.is_directed():
assert not G.has_edge("B", "A")
else:
# G is undirected, so B->A is an edge
assert G.has_edge("B", "A")
G.add_edge("A", "C") # test directedness
G.add_edge("C", "A")
G.remove_edge("C", "A")
if G.is_directed():
assert G.has_edge("A", "C")
else:
assert not G.has_edge("A", "C")
assert not G.has_edge("C", "A")
def test_self_loop(self):
G = self.G()
G.add_edge("A", "A") # test self loops
assert G.has_edge("A", "A")
G.remove_edge("A", "A")
G.add_edge("X", "X")
assert G.has_node("X")
G.remove_node("X")
G.add_edge("A", "Z") # should add the node silently
assert G.has_node("Z")
def test_add_edges_from(self):
G = self.G()
G.add_edges_from([("B", "C")]) # test add_edges_from()
assert G.has_edge("B", "C")
if G.is_directed():
assert not G.has_edge("C", "B")
else:
assert G.has_edge("C", "B") # undirected
G.add_edges_from([("D", "F"), ("B", "D")])
assert G.has_edge("D", "F")
assert G.has_edge("B", "D")
if G.is_directed():
assert not G.has_edge("D", "B")
else:
assert G.has_edge("D", "B") # undirected
def test_add_edges_from2(self):
G = self.G()
# after failing silently, should add 2nd edge
G.add_edges_from([tuple("IJ"), list("KK"), tuple("JK")])
assert G.has_edge(*("I", "J"))
assert G.has_edge(*("K", "K"))
assert G.has_edge(*("J", "K"))
if G.is_directed():
assert not G.has_edge(*("K", "J"))
else:
assert G.has_edge(*("K", "J"))
def test_add_edges_from3(self):
G = self.G()
G.add_edges_from(zip(list("ACD"), list("CDE")))
assert G.has_edge("D", "E")
assert not G.has_edge("E", "C")
def test_remove_edge(self):
G = self.G()
G.add_nodes_from([1, 2, 3, "A", "B", "C", "D", "E", "F", "G", "H"])
G.add_edges_from(zip(list("MNOP"), list("NOPM")))
assert G.has_edge("O", "P")
assert G.has_edge("P", "M")
G.remove_node("P") # tests remove_node()'s handling of edges.
assert not G.has_edge("P", "M")
pytest.raises(TypeError, G.remove_edge, "M")
G.add_edge("N", "M")
assert G.has_edge("M", "N")
G.remove_edge("M", "N")
assert not G.has_edge("M", "N")
# self loop fails silently
G.remove_edges_from([list("HI"), list("DF"), tuple("KK"), tuple("JK")])
assert not G.has_edge("H", "I")
assert not G.has_edge("J", "K")
G.remove_edges_from([list("IJ"), list("KK"), list("JK")])
assert not G.has_edge("I", "J")
G.remove_nodes_from(set("ZEFHIMNO"))
G.add_edge("J", "K")
def test_edges_nbunch(self):
# Test G.edges(nbunch) with various forms of nbunch
G = self.G()
G.add_edges_from([("A", "B"), ("A", "C"), ("B", "D"), ("C", "B"), ("C", "D")])
# node not in nbunch should be quietly ignored
pytest.raises(nx.NetworkXError, G.edges, 6)
assert list(G.edges("Z")) == [] # iterable non-node
# nbunch can be an empty list
assert list(G.edges([])) == []
if G.is_directed():
elist = [("A", "B"), ("A", "C"), ("B", "D")]
else:
elist = [("A", "B"), ("A", "C"), ("B", "C"), ("B", "D")]
# nbunch can be a list
assert edges_equal(list(G.edges(["A", "B"])), elist)
# nbunch can be a set
assert edges_equal(G.edges({"A", "B"}), elist)
# nbunch can be a graph
G1 = self.G()
G1.add_nodes_from("AB")
assert edges_equal(G.edges(G1), elist)
# nbunch can be a dict with nodes as keys
ndict = {"A": "thing1", "B": "thing2"}
assert edges_equal(G.edges(ndict), elist)
# nbunch can be a single node
assert edges_equal(list(G.edges("A")), [("A", "B"), ("A", "C")])
assert nodes_equal(sorted(G), ["A", "B", "C", "D"])
# nbunch can be nothing (whole graph)
assert edges_equal(
list(G.edges()),
[("A", "B"), ("A", "C"), ("B", "D"), ("C", "B"), ("C", "D")],
)
def test_degree(self):
G = self.G()
G.add_edges_from([("A", "B"), ("A", "C"), ("B", "D"), ("C", "B"), ("C", "D")])
assert G.degree("A") == 2
# degree of single node in iterable container must return dict
assert list(G.degree(["A"])) == [("A", 2)]
assert sorted(d for n, d in G.degree(["A", "B"])) == [2, 3]
assert sorted(d for n, d in G.degree()) == [2, 2, 3, 3]
def test_degree2(self):
H = self.G()
H.add_edges_from([(1, 24), (1, 2)])
assert sorted(d for n, d in H.degree([1, 24])) == [1, 2]
def test_degree_graph(self):
P3 = nx.path_graph(3)
P5 = nx.path_graph(5)
# silently ignore nodes not in P3
assert dict(d for n, d in P3.degree(["A", "B"])) == {}
# nbunch can be a graph
assert sorted(d for n, d in P5.degree(P3)) == [1, 2, 2]
# nbunch can be a graph that's way too big
assert sorted(d for n, d in P3.degree(P5)) == [1, 1, 2]
assert list(P5.degree([])) == []
assert dict(P5.degree([])) == {}
def test_null(self):
null = nx.null_graph()
assert list(null.degree()) == []
assert dict(null.degree()) == {}
def test_order_size(self):
G = self.G()
G.add_edges_from([("A", "B"), ("A", "C"), ("B", "D"), ("C", "B"), ("C", "D")])
assert G.order() == 4
assert G.size() == 5
assert G.number_of_edges() == 5
assert G.number_of_edges("A", "B") == 1
assert G.number_of_edges("A", "D") == 0
def test_copy(self):
G = self.G()
H = G.copy() # copy
assert H.adj == G.adj
assert H.name == G.name
assert H is not G
def test_subgraph(self):
G = self.G()
G.add_edges_from([("A", "B"), ("A", "C"), ("B", "D"), ("C", "B"), ("C", "D")])
SG = G.subgraph(["A", "B", "D"])
assert nodes_equal(list(SG), ["A", "B", "D"])
assert edges_equal(list(SG.edges()), [("A", "B"), ("B", "D")])
def test_to_directed(self):
G = self.G()
if not G.is_directed():
G.add_edges_from(
[("A", "B"), ("A", "C"), ("B", "D"), ("C", "B"), ("C", "D")]
)
DG = G.to_directed()
assert DG is not G # directed copy or copy
assert DG.is_directed()
assert DG.name == G.name
assert DG.adj == G.adj
assert sorted(DG.out_edges(list("AB"))) == [
("A", "B"),
("A", "C"),
("B", "A"),
("B", "C"),
("B", "D"),
]
DG.remove_edge("A", "B")
assert DG.has_edge("B", "A") # this removes B-A but not A-B
assert not DG.has_edge("A", "B")
def test_to_undirected(self):
G = self.G()
if G.is_directed():
G.add_edges_from(
[("A", "B"), ("A", "C"), ("B", "D"), ("C", "B"), ("C", "D")]
)
UG = G.to_undirected() # to_undirected
assert UG is not G
assert not UG.is_directed()
assert G.is_directed()
assert UG.name == G.name
assert UG.adj != G.adj
assert sorted(UG.edges(list("AB"))) == [
("A", "B"),
("A", "C"),
("B", "C"),
("B", "D"),
]
assert sorted(UG.edges(["A", "B"])) == [
("A", "B"),
("A", "C"),
("B", "C"),
("B", "D"),
]
UG.remove_edge("A", "B")
assert not UG.has_edge("B", "A")
assert not UG.has_edge("A", "B")
def test_neighbors(self):
G = self.G()
G.add_edges_from([("A", "B"), ("A", "C"), ("B", "D"), ("C", "B"), ("C", "D")])
G.add_nodes_from("GJK")
assert sorted(G["A"]) == ["B", "C"]
assert sorted(G.neighbors("A")) == ["B", "C"]
assert sorted(G.neighbors("A")) == ["B", "C"]
assert sorted(G.neighbors("G")) == []
pytest.raises(nx.NetworkXError, G.neighbors, "j")
def test_iterators(self):
G = self.G()
G.add_edges_from([("A", "B"), ("A", "C"), ("B", "D"), ("C", "B"), ("C", "D")])
G.add_nodes_from("GJK")
assert sorted(G.nodes()) == ["A", "B", "C", "D", "G", "J", "K"]
assert edges_equal(
G.edges(), [("A", "B"), ("A", "C"), ("B", "D"), ("C", "B"), ("C", "D")]
)
assert sorted(v for k, v in G.degree()) == [0, 0, 0, 2, 2, 3, 3]
assert sorted(G.degree(), key=str) == [
("A", 2),
("B", 3),
("C", 3),
("D", 2),
("G", 0),
("J", 0),
("K", 0),
]
assert sorted(G.neighbors("A")) == ["B", "C"]
pytest.raises(nx.NetworkXError, G.neighbors, "X")
G.clear()
assert nx.number_of_nodes(G) == 0
assert nx.number_of_edges(G) == 0
def test_null_subgraph(self):
# Subgraph of a null graph is a null graph
nullgraph = nx.null_graph()
G = nx.null_graph()
H = G.subgraph([])
assert nx.is_isomorphic(H, nullgraph)
def test_empty_subgraph(self):
# Subgraph of an empty graph is an empty graph. test 1
nullgraph = nx.null_graph()
E5 = nx.empty_graph(5)
E10 = nx.empty_graph(10)
H = E10.subgraph([])
assert nx.is_isomorphic(H, nullgraph)
H = E10.subgraph([1, 2, 3, 4, 5])
assert nx.is_isomorphic(H, E5)
def test_complete_subgraph(self):
# Subgraph of a complete graph is a complete graph
K1 = nx.complete_graph(1)
K3 = nx.complete_graph(3)
K5 = nx.complete_graph(5)
H = K5.subgraph([1, 2, 3])
assert nx.is_isomorphic(H, K3)
def test_subgraph_nbunch(self):
nullgraph = nx.null_graph()
K1 = nx.complete_graph(1)
K3 = nx.complete_graph(3)
K5 = nx.complete_graph(5)
# Test G.subgraph(nbunch), where nbunch is a single node
H = K5.subgraph(1)
assert nx.is_isomorphic(H, K1)
# Test G.subgraph(nbunch), where nbunch is a set
H = K5.subgraph({1})
assert nx.is_isomorphic(H, K1)
# Test G.subgraph(nbunch), where nbunch is an iterator
H = K5.subgraph(iter(K3))
assert nx.is_isomorphic(H, K3)
# Test G.subgraph(nbunch), where nbunch is another graph
H = K5.subgraph(K3)
assert nx.is_isomorphic(H, K3)
H = K5.subgraph([9])
assert nx.is_isomorphic(H, nullgraph)
def test_node_tuple_issue(self):
H = self.G()
# Test error handling of tuple as a node
pytest.raises(nx.NetworkXError, H.remove_node, (1, 2))
H.remove_nodes_from([(1, 2)]) # no error
pytest.raises(nx.NetworkXError, H.neighbors, (1, 2))
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