def testFindCoClaw(self):
g = DalGraph(make_co_claw())
# add some noise
g._g.add_node(4)
g._g.add_node(5)
g._g.add_node(6)
g._g.add_node(7)
g._g.add_edge(3, 4)
g._g.add_edge(2,5)
g._g.add_edge(1, 6)
g._g.add_edge(3, 7)
result = g.find_co_claw()
expect = [2, 3, 1, 0]
self.assertEqual(result, expect)
# no triangle
g = DalGraph(make_claw())
# add some noise
g._g.add_node(4)
g._g.add_node(5)
g._g.add_node(6)
g._g.add_node(7)
g._g.add_edge(0, 4)
g._g.add_edge(0, 5)
g._g.add_edge(0, 6)
g._g.add_edge(0, 7)
result = g.find_co_claw()
expect = None
self.assertEqual(result, expect)
g = DalGraph(make_wheel(6))
result = g.find_co_claw()
self.assertEqual(result, expect)
def testCriticalAprox(self):
# is_critical graphs
g = nx.Graph()
g.add_node(0)
g = join(g, g)
g = join(g, g)
d = DalGraph(g)
result = d.critical_aprox()
self.assertEqual(result, True)
g = make_wheel(6)
d = DalGraph(g)
result = d.critical_aprox()
self.assertEqual(result, True)
d = DalGraph(make_cycle(5))
result = d.critical_aprox()
self.assertEqual(result, True)
# test non is_critical
d = DalGraph(make_claw())
result = d.critical_aprox()
self.assertEqual(result, False)
d = DalGraph(make_co_claw())
result = d.critical_aprox()
self.assertEqual(result, False)
