ai-content-maker/.venv/Lib/site-packages/networkx/drawing/tests/test_pydot.py

191 lines
6.1 KiB
Python

"""Unit tests for pydot drawing functions."""
import os
import tempfile
from io import StringIO
import pytest
import networkx as nx
from networkx.utils import graphs_equal
pydot = pytest.importorskip("pydot")
@pytest.mark.xfail
class TestPydot:
def pydot_checks(self, G, prog):
"""
Validate :mod:`pydot`-based usage of the passed NetworkX graph with the
passed basename of an external GraphViz command (e.g., `dot`, `neato`).
"""
# Set the name of this graph to... "G". Failing to do so will
# subsequently trip an assertion expecting this name.
G.graph["name"] = "G"
# Add arbitrary nodes and edges to the passed empty graph.
G.add_edges_from([("A", "B"), ("A", "C"), ("B", "C"), ("A", "D")])
G.add_node("E")
# Validate layout of this graph with the passed GraphViz command.
graph_layout = nx.nx_pydot.pydot_layout(G, prog=prog)
assert isinstance(graph_layout, dict)
# Convert this graph into a "pydot.Dot" instance.
P = nx.nx_pydot.to_pydot(G)
# Convert this "pydot.Dot" instance back into a graph of the same type.
G2 = G.__class__(nx.nx_pydot.from_pydot(P))
# Validate the original and resulting graphs to be the same.
assert graphs_equal(G, G2)
fd, fname = tempfile.mkstemp()
# Serialize this "pydot.Dot" instance to a temporary file in dot format
P.write_raw(fname)
# Deserialize a list of new "pydot.Dot" instances back from this file.
Pin_list = pydot.graph_from_dot_file(path=fname, encoding="utf-8")
# Validate this file to contain only one graph.
assert len(Pin_list) == 1
# The single "pydot.Dot" instance deserialized from this file.
Pin = Pin_list[0]
# Sorted list of all nodes in the original "pydot.Dot" instance.
n1 = sorted(p.get_name() for p in P.get_node_list())
# Sorted list of all nodes in the deserialized "pydot.Dot" instance.
n2 = sorted(p.get_name() for p in Pin.get_node_list())
# Validate these instances to contain the same nodes.
assert n1 == n2
# Sorted list of all edges in the original "pydot.Dot" instance.
e1 = sorted((e.get_source(), e.get_destination()) for e in P.get_edge_list())
# Sorted list of all edges in the original "pydot.Dot" instance.
e2 = sorted((e.get_source(), e.get_destination()) for e in Pin.get_edge_list())
# Validate these instances to contain the same edges.
assert e1 == e2
# Deserialize a new graph of the same type back from this file.
Hin = nx.nx_pydot.read_dot(fname)
Hin = G.__class__(Hin)
# Validate the original and resulting graphs to be the same.
assert graphs_equal(G, Hin)
os.close(fd)
os.unlink(fname)
def test_undirected(self):
self.pydot_checks(nx.Graph(), prog="neato")
def test_directed(self):
self.pydot_checks(nx.DiGraph(), prog="dot")
def test_read_write(self):
G = nx.MultiGraph()
G.graph["name"] = "G"
G.add_edge("1", "2", key="0") # read assumes strings
fh = StringIO()
nx.nx_pydot.write_dot(G, fh)
fh.seek(0)
H = nx.nx_pydot.read_dot(fh)
assert graphs_equal(G, H)
def test_pydot_issue_258():
G = nx.Graph([("Example:A", 1)])
with pytest.raises(ValueError):
nx.nx_pydot.to_pydot(G)
with pytest.raises(ValueError):
nx.nx_pydot.pydot_layout(G)
G = nx.Graph()
G.add_node("1.2", style="filled", fillcolor="red:yellow")
with pytest.raises(ValueError):
nx.nx_pydot.to_pydot(G)
G.remove_node("1.2")
G.add_node("1.2", style="filled", fillcolor='"red:yellow"')
assert (
G.nodes.data() == nx.nx_pydot.from_pydot(nx.nx_pydot.to_pydot(G)).nodes.data()
)
G = nx.DiGraph()
G.add_edge("1", "2", foo="bar:1")
with pytest.raises(ValueError):
nx.nx_pydot.to_pydot(G)
G = nx.DiGraph()
G.add_edge("1", "2", foo='"bar:1"')
assert G["1"]["2"] == nx.nx_pydot.from_pydot(nx.nx_pydot.to_pydot(G))["1"]["2"]
G = nx.MultiGraph()
G.add_edge("1", "2", foo="b:1")
G.add_edge("1", "2", bar="foo:foo")
with pytest.raises(ValueError):
nx.nx_pydot.to_pydot(G)
G = nx.MultiGraph()
G.add_edge("1", "2", foo='"b:1"')
G.add_edge("1", "2", bar='"foo:foo"')
# Keys as integers aren't preserved in the conversion. They are read as strings.
assert [attr for _, _, attr in G.edges.data()] == [
attr
for _, _, attr in nx.nx_pydot.from_pydot(nx.nx_pydot.to_pydot(G)).edges.data()
]
G = nx.Graph()
G.add_edge("1", "2")
G["1"]["2"]["f:oo"] = "bar"
with pytest.raises(ValueError):
nx.nx_pydot.to_pydot(G)
G = nx.Graph()
G.add_edge("1", "2")
G["1"]["2"]['"f:oo"'] = "bar"
assert G["1"]["2"] == nx.nx_pydot.from_pydot(nx.nx_pydot.to_pydot(G))["1"]["2"]
G = nx.Graph([('"Example:A"', 1)])
layout = nx.nx_pydot.pydot_layout(G)
assert isinstance(layout, dict)
@pytest.mark.parametrize(
"graph_type", [nx.Graph, nx.DiGraph, nx.MultiGraph, nx.MultiDiGraph]
)
def test_hashable_pydot(graph_type):
# gh-5790
G = graph_type()
G.add_edge("5", frozenset([1]), t='"Example:A"', l=False)
G.add_edge("1", 2, w=True, t=("node1",), l=frozenset(["node1"]))
G.add_edge("node", (3, 3), w="string")
assert [
{"t": '"Example:A"', "l": "False"},
{"w": "True", "t": "('node1',)", "l": "frozenset({'node1'})"},
{"w": "string"},
] == [
attr
for _, _, attr in nx.nx_pydot.from_pydot(nx.nx_pydot.to_pydot(G)).edges.data()
]
assert {str(i) for i in G.nodes()} == set(
nx.nx_pydot.from_pydot(nx.nx_pydot.to_pydot(G)).nodes
)
def test_pydot_numrical_name():
G = nx.Graph()
G.add_edges_from([("A", "B"), (0, 1)])
graph_layout = nx.nx_pydot.pydot_layout(G, prog="dot")
assert isinstance(graph_layout, dict)
assert "0" not in graph_layout
assert 0 in graph_layout
assert "1" not in graph_layout
assert 1 in graph_layout
assert "A" in graph_layout
assert "B" in graph_layout