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import random
import unittest
from igraph import Graph, Matrix
class DirectedUndirectedTests(unittest.TestCase):
def testToUndirected(self):
graph = Graph([(0, 1), (0, 2), (1, 0)], directed=True)
graph2 = graph.copy()
graph2.to_undirected(mode=False)
self.assertTrue(graph2.vcount() == graph.vcount())
self.assertTrue(graph2.is_directed() is False)
self.assertTrue(sorted(graph2.get_edgelist()) == [(0, 1), (0, 1), (0, 2)])
graph2 = graph.copy()
graph2.to_undirected()
self.assertTrue(graph2.vcount() == graph.vcount())
self.assertTrue(graph2.is_directed() is False)
self.assertTrue(sorted(graph2.get_edgelist()) == [(0, 1), (0, 2)])
graph2 = graph.copy()
graph2.es["weight"] = [1, 2, 3]
graph2.to_undirected(mode="collapse", combine_edges="sum")
self.assertTrue(graph2.vcount() == graph.vcount())
self.assertTrue(graph2.is_directed() is False)
self.assertTrue(sorted(graph2.get_edgelist()) == [(0, 1), (0, 2)])
self.assertTrue(graph2.es["weight"] == [4, 2])
graph = Graph([(0, 1), (1, 0), (0, 1), (1, 0), (2, 1), (1, 2)], directed=True)
graph2 = graph.copy()
graph2.es["weight"] = [1, 2, 3, 4, 5, 6]
graph2.to_undirected(mode="mutual", combine_edges="sum")
self.assertTrue(graph2.vcount() == graph.vcount())
self.assertTrue(graph2.is_directed() is False)
self.assertTrue(sorted(graph2.get_edgelist()) == [(0, 1), (0, 1), (1, 2)])
self.assertTrue(
graph2.es["weight"] == [7, 3, 11] or graph2.es["weight"] == [3, 7, 11]
)
def testToDirectedNoModeArg(self):
graph = Graph([(0, 1), (0, 2), (2, 3), (2, 4)], directed=False)
graph.to_directed()
self.assertTrue(graph.is_directed())
self.assertTrue(graph.vcount() == 5)
self.assertTrue(
sorted(graph.get_edgelist())
== [(0, 1), (0, 2), (1, 0), (2, 0), (2, 3), (2, 4), (3, 2), (4, 2)]
)
def testToDirectedMutual(self):
graph = Graph([(0, 1), (0, 2), (2, 3), (2, 4)], directed=False)
graph.to_directed("mutual")
self.assertTrue(graph.is_directed())
self.assertTrue(graph.vcount() == 5)
self.assertTrue(
sorted(graph.get_edgelist())
== [(0, 1), (0, 2), (1, 0), (2, 0), (2, 3), (2, 4), (3, 2), (4, 2)]
)
def testToDirectedAcyclic(self):
graph = Graph([(0, 1), (2, 0), (3, 0), (3, 0), (4, 2)], directed=False)
graph.to_directed("acyclic")
self.assertTrue(graph.is_directed())
self.assertTrue(graph.vcount() == 5)
self.assertTrue(
sorted(graph.get_edgelist()) == [(0, 1), (0, 2), (0, 3), (0, 3), (2, 4)]
)
def testToDirectedRandom(self):
random.seed(0)
graph = Graph.Ring(200, directed=False)
graph.to_directed("random")
self.assertTrue(graph.is_directed())
self.assertTrue(graph.vcount() == 200)
edgelist1 = sorted(graph.get_edgelist())
graph = Graph.Ring(200, directed=False)
graph.to_directed("random")
self.assertTrue(graph.is_directed())
self.assertTrue(graph.vcount() == 200)
edgelist2 = sorted(graph.get_edgelist())
self.assertTrue(edgelist1 != edgelist2)
def testToDirectedInvalidMode(self):
graph = Graph([(0, 1), (0, 2), (2, 3), (2, 4)], directed=False)
with self.assertRaises(ValueError):
graph.to_directed("no-such-mode")
class GraphRepresentationTests(unittest.TestCase):
def testGetAdjacency(self):
# Undirected case
g = Graph.Tree(6, 3)
g.es["weight"] = list(range(5))
self.assertTrue(
g.get_adjacency()
== Matrix(
[
[0, 1, 1, 1, 0, 0],
[1, 0, 0, 0, 1, 1],
[1, 0, 0, 0, 0, 0],
[1, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0],
]
)
)
self.assertTrue(
g.get_adjacency(attribute="weight")
== Matrix(
[
[0, 0, 1, 2, 0, 0],
[0, 0, 0, 0, 3, 4],
[1, 0, 0, 0, 0, 0],
[2, 0, 0, 0, 0, 0],
[0, 3, 0, 0, 0, 0],
[0, 4, 0, 0, 0, 0],
]
)
)
# Directed case
g = Graph.Tree(6, 3, "tree_out")
g.add_edges([(0, 1), (1, 0)])
self.assertTrue(
g.get_adjacency()
== Matrix(
[
[0, 2, 1, 1, 0, 0],
[1, 0, 0, 0, 1, 1],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
]
)
)
def testGetSparseAdjacency(self):
try:
from scipy import sparse # noqa: F401
import numpy as np
except ImportError:
self.skipTest("Scipy and numpy are dependencies of this test.")
# Undirected case
g = Graph.Tree(6, 3)
g.es["weight"] = list(range(5))
self.assertTrue(
np.all((g.get_adjacency_sparse() == np.array(g.get_adjacency().data)))
)
self.assertTrue(
np.all(
(
g.get_adjacency_sparse(attribute="weight")
== np.array(g.get_adjacency(attribute="weight").data)
)
)
)
# Directed case
g = Graph.Tree(6, 3, "tree_out")
g.add_edges([(0, 1), (1, 0)])
self.assertTrue(
np.all(g.get_adjacency_sparse() == np.array(g.get_adjacency().data))
)
def testGetAdjacencyRoundtrip(self):
g = Graph.Tree(6, 3)
adj = g.get_adjacency()
g2 = Graph.Adjacency(adj, mode="undirected")
self.assertEqual(g.vcount(), g2.vcount())
self.assertEqual(g.is_directed(), g2.is_directed())
self.assertTrue(g.get_edgelist() == g2.get_edgelist())
class PruferTests(unittest.TestCase):
def testFromPrufer(self):
g = Graph.Prufer([3, 3, 3, 4])
self.assertEqual(6, g.vcount())
self.assertEqual(5, g.ecount())
self.assertEqual(
[(0, 3), (1, 3), (2, 3), (3, 4), (4, 5)],
sorted(g.get_edgelist())
)
def testToPrufer(self):
g = Graph([(0, 3), (1, 3), (2, 3), (3, 4), (4, 5)])
self.assertEqual([3, 3, 3, 4], g.to_prufer())
def suite():
direction_suite = unittest.defaultTestLoader.loadTestsFromTestCase(
DirectedUndirectedTests
)
representation_suite = unittest.defaultTestLoader.loadTestsFromTestCase(
GraphRepresentationTests
)
prufer_suite = unittest.defaultTestLoader.loadTestsFromTestCase(
PruferTests
)
return unittest.TestSuite([direction_suite, representation_suite, prufer_suite])
def test():
runner = unittest.TextTestRunner()
runner.run(suite())
if __name__ == "__main__":
test()
|
