ai-content-maker/.venv/Lib/site-packages/networkx/readwrite/tests/test_pajek.py

131 lines
4.6 KiB
Python
Raw Permalink Normal View History

2024-05-03 04:18:51 +03:00
"""
Pajek tests
"""
import os
import tempfile
import networkx as nx
from networkx.utils import edges_equal, nodes_equal
class TestPajek:
@classmethod
def setup_class(cls):
cls.data = """*network Tralala\n*vertices 4\n 1 "A1" 0.0938 0.0896 ellipse x_fact 1 y_fact 1\n 2 "Bb" 0.8188 0.2458 ellipse x_fact 1 y_fact 1\n 3 "C" 0.3688 0.7792 ellipse x_fact 1\n 4 "D2" 0.9583 0.8563 ellipse x_fact 1\n*arcs\n1 1 1 h2 0 w 3 c Blue s 3 a1 -130 k1 0.6 a2 -130 k2 0.6 ap 0.5 l "Bezier loop" lc BlueViolet fos 20 lr 58 lp 0.3 la 360\n2 1 1 h2 0 a1 120 k1 1.3 a2 -120 k2 0.3 ap 25 l "Bezier arc" lphi 270 la 180 lr 19 lp 0.5\n1 2 1 h2 0 a1 40 k1 2.8 a2 30 k2 0.8 ap 25 l "Bezier arc" lphi 90 la 0 lp 0.65\n4 2 -1 h2 0 w 1 k1 -2 k2 250 ap 25 l "Circular arc" c Red lc OrangeRed\n3 4 1 p Dashed h2 0 w 2 c OliveGreen ap 25 l "Straight arc" lc PineGreen\n1 3 1 p Dashed h2 0 w 5 k1 -1 k2 -20 ap 25 l "Oval arc" c Brown lc Black\n3 3 -1 h1 6 w 1 h2 12 k1 -2 k2 -15 ap 0.5 l "Circular loop" c Red lc OrangeRed lphi 270 la 180"""
cls.G = nx.MultiDiGraph()
cls.G.add_nodes_from(["A1", "Bb", "C", "D2"])
cls.G.add_edges_from(
[
("A1", "A1"),
("A1", "Bb"),
("A1", "C"),
("Bb", "A1"),
("C", "C"),
("C", "D2"),
("D2", "Bb"),
]
)
cls.G.graph["name"] = "Tralala"
(fd, cls.fname) = tempfile.mkstemp()
with os.fdopen(fd, "wb") as fh:
fh.write(cls.data.encode("UTF-8"))
@classmethod
def teardown_class(cls):
os.unlink(cls.fname)
def test_parse_pajek_simple(self):
# Example without node positions or shape
data = """*Vertices 2\n1 "1"\n2 "2"\n*Edges\n1 2\n2 1"""
G = nx.parse_pajek(data)
assert sorted(G.nodes()) == ["1", "2"]
assert edges_equal(G.edges(), [("1", "2"), ("1", "2")])
def test_parse_pajek(self):
G = nx.parse_pajek(self.data)
assert sorted(G.nodes()) == ["A1", "Bb", "C", "D2"]
assert edges_equal(
G.edges(),
[
("A1", "A1"),
("A1", "Bb"),
("A1", "C"),
("Bb", "A1"),
("C", "C"),
("C", "D2"),
("D2", "Bb"),
],
)
def test_parse_pajet_mat(self):
data = """*Vertices 3\n1 "one"\n2 "two"\n3 "three"\n*Matrix\n1 1 0\n0 1 0\n0 1 0\n"""
G = nx.parse_pajek(data)
assert set(G.nodes()) == {"one", "two", "three"}
assert G.nodes["two"] == {"id": "2"}
assert edges_equal(
set(G.edges()),
{("one", "one"), ("two", "one"), ("two", "two"), ("two", "three")},
)
def test_read_pajek(self):
G = nx.parse_pajek(self.data)
Gin = nx.read_pajek(self.fname)
assert sorted(G.nodes()) == sorted(Gin.nodes())
assert edges_equal(G.edges(), Gin.edges())
assert self.G.graph == Gin.graph
for n in G:
assert G.nodes[n] == Gin.nodes[n]
def test_write_pajek(self):
import io
G = nx.parse_pajek(self.data)
fh = io.BytesIO()
nx.write_pajek(G, fh)
fh.seek(0)
H = nx.read_pajek(fh)
assert nodes_equal(list(G), list(H))
assert edges_equal(list(G.edges()), list(H.edges()))
# Graph name is left out for now, therefore it is not tested.
# assert_equal(G.graph, H.graph)
def test_ignored_attribute(self):
import io
G = nx.Graph()
fh = io.BytesIO()
G.add_node(1, int_attr=1)
G.add_node(2, empty_attr=" ")
G.add_edge(1, 2, int_attr=2)
G.add_edge(2, 3, empty_attr=" ")
import warnings
with warnings.catch_warnings(record=True) as w:
nx.write_pajek(G, fh)
assert len(w) == 4
def test_noname(self):
# Make sure we can parse a line such as: *network
# Issue #952
line = "*network\n"
other_lines = self.data.split("\n")[1:]
data = line + "\n".join(other_lines)
G = nx.parse_pajek(data)
def test_unicode(self):
import io
G = nx.Graph()
name1 = chr(2344) + chr(123) + chr(6543)
name2 = chr(5543) + chr(1543) + chr(324)
G.add_edge(name1, "Radiohead", foo=name2)
fh = io.BytesIO()
nx.write_pajek(G, fh)
fh.seek(0)
H = nx.read_pajek(fh)
assert nodes_equal(list(G), list(H))
assert edges_equal(list(G.edges()), list(H.edges()))
assert G.graph == H.graph