class TestClusterGraphMethods(unittest.TestCase):
def setUp(self):
self.graph = ClusterGraph()
def test_get_cardinality(self):
self.graph.add_edges_from([(('a', 'b', 'c'), ('a', 'b')),
(('a', 'b', 'c'), ('a', 'c'))])
self.assertDictEqual(self.graph.get_cardinality(), {})
phi1 = Factor(['a', 'b', 'c'], [1, 2, 2], np.random.rand(4))
self.graph.add_factors(phi1)
self.assertDictEqual(self.graph.get_cardinality(), {'a': 1, 'b': 2, 'c':2})
self.graph.remove_factors(phi1)
self.assertDictEqual(self.graph.get_cardinality(), {})
phi1 = Factor(['a', 'b'], [1, 2], np.random.rand(2))
phi2 = Factor(['a', 'c'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi1, phi2)
self.assertDictEqual(self.graph.get_cardinality(), {'a': 1, 'b': 2, 'c': 2})
phi3 = Factor(['a', 'c'], [1, 1], np.random.rand(1))
self.graph.add_factors(phi3)
self.assertDictEqual(self.graph.get_cardinality(), {'c': 1, 'b': 2, 'a': 1})
self.graph.remove_factors(phi1, phi2, phi3)
self.assertDictEqual(self.graph.get_cardinality(), {})
def test_get_cardinality_check_cardinality(self):
self.graph.add_edges_from([(('a', 'b', 'c'), ('a', 'b')),
(('a', 'b', 'c'), ('a', 'c'))])
phi1 = Factor(['a', 'b'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi1)
self.assertRaises(ValueError, self.graph.get_cardinality, check_cardinality=True)
self.graph.remove_factors(phi1)
phi2 = Factor(['a', 'c'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi2)
self.assertRaises(ValueError, self.graph.get_cardinality, check_cardinality=True)
self.graph.add_factors(phi1)
self.assertDictEqual(self.graph.get_cardinality(check_cardinality=True), {'c': 2, 'b': 2, 'a': 1})
def test_check_model(self):
self.graph.add_edges_from([(('a', 'b'), ('a', 'c'))])
phi1 = Factor(['a', 'b'], [1, 2], np.random.rand(2))
phi2 = Factor(['a', 'c'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi1, phi2)
self.assertTrue(self.graph.check_model())
self.graph.remove_factors(phi2)
phi2 = Factor(['a', 'c'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi2)
self.assertTrue(self.graph.check_model())
def test_check_model1(self):
self.graph.add_edges_from([(('a', 'b'), ('a', 'c')),
(('a', 'c'), ('a', 'd'))])
phi1 = Factor(['a', 'b'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi1)
self.assertRaises(ValueError, self.graph.check_model)
phi2 = Factor(['a', 'c'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi2)
self.assertRaises(ValueError, self.graph.check_model)
def test_check_model2(self):
self.graph.add_edges_from([(('a', 'b'), ('a', 'c')),
(('a', 'c'), ('a', 'd'))])
phi1 = Factor(['a', 'b'], [1, 2], np.random.rand(2))
phi2 = Factor(['a', 'c'], [3, 3], np.random.rand(9))
phi3 = Factor(['a', 'd'], [4, 4], np.random.rand(16))
self.graph.add_factors(phi1, phi2, phi3)
self.assertRaises(ValueError, self.graph.check_model)
self.graph.remove_factors(phi2)
phi2 = Factor(['a', 'c'], [1, 3], np.random.rand(3))
self.graph.add_factors(phi2)
self.assertRaises(ValueError, self.graph.check_model)
self.graph.remove_factors(phi3)
phi3 = Factor(['a', 'd'], [1, 4], np.random.rand(4))
self.graph.add_factors(phi3)
self.assertTrue(self.graph.check_model())
def tearDown(self):
del self.graph
class TestClusterGraphMethods(unittest.TestCase):
def setUp(self):
self.graph = ClusterGraph()
def test_get_cardinality(self):
self.graph.add_edges_from([(('a', 'b', 'c'), ('a', 'b')),
(('a', 'b', 'c'), ('a', 'c'))])
self.assertDictEqual(self.graph.get_cardinality(), {})
phi1 = DiscreteFactor(['a', 'b', 'c'], [1, 2, 2], np.random.rand(4))
self.graph.add_factors(phi1)
self.assertDictEqual(self.graph.get_cardinality(), {'a': 1, 'b': 2, 'c': 2})
self.graph.remove_factors(phi1)
self.assertDictEqual(self.graph.get_cardinality(), {})
phi1 = DiscreteFactor(['a', 'b'], [1, 2], np.random.rand(2))
phi2 = DiscreteFactor(['a', 'c'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi1, phi2)
self.assertDictEqual(self.graph.get_cardinality(), {'a': 1, 'b': 2, 'c': 2})
phi3 = DiscreteFactor(['a', 'c'], [1, 1], np.random.rand(1))
self.graph.add_factors(phi3)
self.assertDictEqual(self.graph.get_cardinality(), {'c': 1, 'b': 2, 'a': 1})
self.graph.remove_factors(phi1, phi2, phi3)
self.assertDictEqual(self.graph.get_cardinality(), {})
def test_get_cardinality_check_cardinality(self):
self.graph.add_edges_from([(('a', 'b', 'c'), ('a', 'b')),
(('a', 'b', 'c'), ('a', 'c'))])
phi1 = DiscreteFactor(['a', 'b'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi1)
self.assertRaises(ValueError, self.graph.get_cardinality, check_cardinality=True)
self.graph.remove_factors(phi1)
phi2 = DiscreteFactor(['a', 'c'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi2)
self.assertRaises(ValueError, self.graph.get_cardinality, check_cardinality=True)
self.graph.add_factors(phi1)
self.assertDictEqual(self.graph.get_cardinality(check_cardinality=True), {'c': 2, 'b': 2, 'a': 1})
def test_check_model(self):
self.graph.add_edges_from([(('a', 'b'), ('a', 'c'))])
phi1 = DiscreteFactor(['a', 'b'], [1, 2], np.random.rand(2))
phi2 = DiscreteFactor(['a', 'c'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi1, phi2)
self.assertTrue(self.graph.check_model())
self.graph.remove_factors(phi2)
phi2 = DiscreteFactor(['a', 'c'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi2)
self.assertTrue(self.graph.check_model())
def test_check_model1(self):
self.graph.add_edges_from([(('a', 'b'), ('a', 'c')),
(('a', 'c'), ('a', 'd'))])
phi1 = DiscreteFactor(['a', 'b'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi1)
self.assertRaises(ValueError, self.graph.check_model)
phi2 = DiscreteFactor(['a', 'c'], [1, 2], np.random.rand(2))
self.graph.add_factors(phi2)
self.assertRaises(ValueError, self.graph.check_model)
def test_check_model2(self):
self.graph.add_edges_from([(('a', 'b'), ('a', 'c')),
(('a', 'c'), ('a', 'd'))])
phi1 = DiscreteFactor(['a', 'b'], [1, 2], np.random.rand(2))
phi2 = DiscreteFactor(['a', 'c'], [3, 3], np.random.rand(9))
phi3 = DiscreteFactor(['a', 'd'], [4, 4], np.random.rand(16))
self.graph.add_factors(phi1, phi2, phi3)
self.assertRaises(ValueError, self.graph.check_model)
self.graph.remove_factors(phi2)
phi2 = DiscreteFactor(['a', 'c'], [1, 3], np.random.rand(3))
self.graph.add_factors(phi2)
self.assertRaises(ValueError, self.graph.check_model)
self.graph.remove_factors(phi3)
phi3 = DiscreteFactor(['a', 'd'], [1, 4], np.random.rand(4))
self.graph.add_factors(phi3)
self.assertTrue(self.graph.check_model())
def test_copy_with_factors(self):
self.graph.add_edges_from([[('a', 'b'), ('b', 'c')]])
phi1 = DiscreteFactor(['a', 'b'], [2, 2], np.random.rand(4))
phi2 = DiscreteFactor(['b', 'c'], [2, 2], np.random.rand(4))
self.graph.add_factors(phi1, phi2)
graph_copy = self.graph.copy()
self.assertIsInstance(graph_copy, ClusterGraph)
self.assertEqual(hf.recursive_sorted(self.graph.nodes()),
hf.recursive_sorted(graph_copy.nodes()))
self.assertEqual(hf.recursive_sorted(self.graph.edges()),
hf.recursive_sorted(graph_copy.edges()))
self.assertTrue(graph_copy.check_model())
self.assertEqual(self.graph.get_factors(), graph_copy.get_factors())
self.graph.remove_factors(phi1, phi2)
self.assertTrue(phi1 not in self.graph.factors and phi2 not in self.graph.factors)
self.assertTrue(phi1 in graph_copy.factors and phi2 in graph_copy.factors)
self.graph.add_factors(phi1, phi2)
self.graph.factors[0] = DiscreteFactor(['a', 'b'], [2, 2], np.random.rand(4))
self.assertNotEqual(self.graph.get_factors()[0], graph_copy.get_factors()[0])
self.assertNotEqual(self.graph.factors, graph_copy.factors)
def test_copy_without_factors(self):
self.graph.add_nodes_from([('a', 'b', 'c'), ('a', 'b'), ('a', 'c')])
self.graph.add_edges_from([(('a', 'b', 'c'), ('a', 'b')),
(('a', 'b', 'c'), ('a', 'c'))])
graph_copy = self.graph.copy()
self.graph.remove_edge(('a', 'b', 'c'), ('a', 'c'))
self.assertFalse(self.graph.has_edge(('a', 'b', 'c'), ('a', 'c')))
self.assertTrue(graph_copy.has_edge(('a', 'b', 'c'), ('a', 'c')))
self.graph.remove_node(('a', 'c'))
self.assertFalse(self.graph.has_node(('a', 'c')))
self.assertTrue(graph_copy.has_node(('a', 'c')))
self.graph.add_node(('c', 'd'))
self.assertTrue(self.graph.has_node(('c', 'd')))
self.assertFalse(graph_copy.has_node(('c', 'd')))
def tearDown(self):
del self.graph