def test_text(graph, quoting, verbose):
g = cfpq_data.graph_from_text(graph, verbose=verbose)
text = cfpq_data.graph_to_text(g, quoting=quoting, verbose=verbose)
gin = cfpq_data.graph_from_text(text, verbose=verbose)
assert (
g.number_of_nodes() == gin.number_of_nodes()
and g.number_of_edges() == gin.number_of_edges()
)
def test_text_format():
with pytest.raises(ValueError):
cfpq_data.graph_from_text("1 2 3 4")
from itertools import product
import os
import random
import networkx as nx
import pytest
import cfpq_data
seed = 42
random.seed(seed)
g1 = cfpq_data.labeled_binomial_graph(42, 0.42, seed=seed, verbose=False)
g2 = cfpq_data.labeled_binomial_graph(42, 0.73, seed=seed, verbose=False)
g3 = cfpq_data.graph_from_text("1 2", verbose=False)
g4 = nx.path_graph(42, create_using=nx.MultiDiGraph)
@pytest.mark.parametrize(
"graph, quoting, verbose",
list(
product(
[
g1,
g2,
g3,
g4,
],
[True, False],
[True, False],
)
import pytest
import cfpq_data
g1 = cfpq_data.graph_from_text("1 A 2", verbose=False)
g2 = cfpq_data.labeled_two_cycles_graph(42,
28,
edge_labels=("x", "y"),
verbose=False)
g3 = cfpq_data.graph_from_text("1 2\n3", verbose=False)
@pytest.mark.parametrize(
"graph,expected_labels",
[
(g1, {"A"}),
(g2, {"x", "y"}),
(g3, set()),
],
)
def test_get_labels(graph, expected_labels):
assert cfpq_data.get_labels(graph, verbose=False) == expected_labels