Exemple #1
0
 def test_moral_graph_with_edge_present_over_parents(self):
     G = BayesianModel([('a', 'd'), ('d', 'e'), ('b', 'd'), ('b', 'c'), ('a', 'b')])
     moral_graph = G.moral_graph()
     self.assertListEqual(sorted(moral_graph.nodes()), ['a', 'b', 'c', 'd', 'e'])
     for edge in moral_graph.edges():
         self.assertTrue(edge in [('a', 'b'), ('c', 'b'), ('d', 'a'), ('d', 'b'), ('d', 'e')] or
                         (edge[1], edge[0]) in [('a', 'b'), ('c', 'b'), ('d', 'a'), ('d', 'b'), ('d', 'e')])
Exemple #2
0
class TestBayesianModelMethods(unittest.TestCase):
    def setUp(self):
        self.G = BayesianModel([('a', 'd'), ('b', 'd'),
                                ('d', 'e'), ('b', 'c')])

    # def test_add_states(self):
    #     self.G.set_states({'a': [1, 2, 3], 'b': [4, 5], 'c': [6, 7]})
    #     self.assertListEqual(sorted([node['name'] for node in
    #                                  self.G.node['a']['_states']]), [1, 2, 3])
    #     self.assertListEqual(self.G.node['a']['_rule_for_states'], [0, 1, 2])
    #     self.assertFalse(self.G.node['a']['_observed'])
    #     self.assertListEqual(sorted([node['name'] for node in
    #                                  self.G.node['b']['_states']]), [4, 5])
    #     self.assertListEqual(self.G.node['b']['_rule_for_states'], [0, 1])
    #     self.assertFalse(self.G.node['b']['_observed'])
    #     self.assertListEqual(sorted([node['name'] for node in
    #                                  self.G.node['c']['_states']]), [6, 7])
    #     self.assertListEqual(self.G.node['c']['_rule_for_states'], [0, 1])
    #     self.assertFalse(self.G.node['c']['_observed'])
    #     self.G.set_states({'a': [8, 9]})
    #     self.assertListEqual(sorted([node['name'] for node in
    #                                  self.G.node['a']['_states']]),
    #                          [1, 2, 3, 8, 9])
    #     self.assertListEqual(self.G.node['a']['_rule_for_states'],
    #                          [0, 1, 2, 3, 4])
    #     self.assertFalse(self.G.node['a']['_observed'])
    #
    # def test_get_states(self):
    #     self.G = BayesianModel([('a', 'd')])
    #     self.G.set_states({'a': [1, 2, 3], 'd': [4, 5]})
    #     self.assertListEqual(list(self.G.get_states('a')), [1, 2, 3])
    #     self.assertListEqual(list(self.G.get_states('d')), [4, 5])
    #     self.G.node['a']['_rule_for_states'] = [1, 0, 2]
    #     self.assertListEqual(list(self.G.get_states('a')), [2, 1, 3])
    #     self.G.node['d']['_rule_for_states'] = [0, 1]
    #     self.assertListEqual(list(self.G.get_states('d')), [4, 5])
    #
    # def test_update_rule_for_states(self):
    #     self.G._update_rule_for_states('a', 4)
    #     self.G._update_rule_for_states('b', 1)
    #     self.assertListEqual(self.G.node['a']['_rule_for_states'],
    #                          [0, 1, 2, 3])
    #     self.assertListEqual(self.G.node['b']['_rule_for_states'], [0])
    #     self.G._update_rule_for_states('a', 5)
    #     self.assertListEqual(self.G.node['a']['_rule_for_states'],
    #                          [0, 1, 2, 3, 4])
    #     self.G.node['a']['_rule_for_states'] = [1, 0, 2]
    #     self.G._update_rule_for_states('a', 5)
    #     self.assertListEqual(self.G.node['a']['_rule_for_states'],
    #                          [1, 0, 2, 3, 4])
    #
    # def test_update_node_observed_status(self):
    #     self.G.set_states({'a': [1, 2, 3]})
    #     self.assertFalse(self.G.node['a']['_observed'])
    #     self.G.node['a']['_states'][0]['observed_status'] = True
    #     self.G._update_node_observed_status('a')
    #     self.assertTrue(self.G.node['a']['_observed'])
    #
    # def test_no_missing_states(self):
    #     self.G.set_states({'a': [1, 2, 3]})
    #     self.assertTrue(self.G._no_missing_states('a', [1, 2, 3]))
    #     self.assertRaises(ValueError,
    #                       self.G._no_missing_states, 'a', [1, 2])
    #
    # def test_no_extra_states(self):
    #     self.G.set_states({'a': [1, 2, 3]})
    #     self.assertTrue(self.G._no_extra_states('a', [1, 2]))
    #     self.assertTrue(self.G._no_extra_states('a', [1, 2, 3]))
    #     self.assertRaises(ValueError,
    #                       self.G._no_extra_states, 'a', [1, 2, 3, 4])
    #
    # def test_no_extra_parents(self):
    #     self.assertTrue(self.G._no_extra_parents('d', ['a', 'b']))
    #     self.assertRaises(ValueError,
    #                       self.G._no_extra_parents, 'd', ['a', 'b', 'c'])
    #     self.assertTrue(self.G._no_extra_parents('d', ['a']))
    #
    # def test_no_missing_parents(self):
    #     self.assertTrue(self.G._no_missing_parents('d', ['a', 'b']))
    #     self.assertTrue(self.G._no_missing_parents('d', ['a', 'b', 'c']))
    #     self.assertRaises(ValueError,
    #                       self.G._no_missing_parents, 'd', ['a'])
    #
    # def test_get_rule_for_states(self):
    #     self.G.set_states({'a': [1, 2, 3]})
    #     self.assertListEqual(self.G.get_rule_for_states('a'), [1, 2, 3])
    #
    # def test_set_rule_for_states(self):
    #     self.G.set_states({'a': [1, 2, 3]})
    #     self.G.set_rule_for_states('a', [3, 1, 2])
    #     self.assertListEqual(self.G.get_rule_for_states('a'), [3, 1, 2])
    #
    # def test_all_states_present_in_list(self):
    #     self.G.set_states({'a': [1, 2, 3]})
    #     self.assertTrue(self.G._all_states_present_in_list('a', [1, 2, 3]))
    #     self.assertTrue(self.G._all_states_present_in_list('a', [2, 1, 3]))
    #     self.assertFalse(self.G._all_states_present_in_list('a', [1, 2]))
    #
    # def test_is_node_parents_equal_parents_list(self):
    #     self.assertTrue(self.G._is_node_parents_equal_parents_list(
    #         'd', ['a', 'b']))
    #     self.assertTrue(self.G._is_node_parents_equal_parents_list(
    #         'd', ['b', 'a']))
    #     self.assertFalse(self.G._is_node_parents_equal_parents_list(
    #         'd', ['a']))
    #
    # def test_get_rule_for_parents(self):
    #     self.assertListEqual(self.G.get_rule_for_parents('d'), ['a', 'b'])
    #     self.assertListEqual(self.G.get_rule_for_parents('a'), [])
    #
    # def test_set_rule_for_parents(self):
    #     self.G.set_rule_for_parents('d', ['b', 'a'])
    #     self.assertListEqual(self.G.node['d']['_rule_for_parents'], [1, 0])
    #     self.assertListEqual(self.G.get_rule_for_parents('d'), ['b', 'a'])
    #
    # def test_get_parents(self):
    #     self.assertListEqual(list(self.G.get_parents('d')), ['a', 'b'])
    #     self.G.set_rule_for_parents('d', ['b', 'a'])
    #     self.assertListEqual(list(self.G.get_parents('d')), ['b', 'a'])
    #
    # def test_get_parent_objects(self):
    #     self.assertListEqual(list(self.G._get_parent_objects('d')),
    #                          [self.G.node['a'], self.G.node['b']])
    #     self.assertListEqual(list(self.G._get_parent_objects('a')), [])

    def test_moral_graph(self):
        moral_graph = self.G.moral_graph()
        self.assertListEqual(sorted(moral_graph.nodes()), ['a', 'b', 'c', 'd', 'e'])
        for edge in moral_graph.edges():
            self.assertTrue(edge in [('a', 'b'), ('a', 'd'), ('b', 'c'), ('d', 'b'), ('e', 'd')] or
                            (edge[1], edge[0]) in [('a', 'b'), ('a', 'd'), ('b', 'c'), ('d', 'b'), ('e', 'd')])

    def test_moral_graph_with_edge_present_over_parents(self):
        G = BayesianModel([('a', 'd'), ('d', 'e'), ('b', 'd'), ('b', 'c'), ('a', 'b')])
        moral_graph = G.moral_graph()
        self.assertListEqual(sorted(moral_graph.nodes()), ['a', 'b', 'c', 'd', 'e'])
        for edge in moral_graph.edges():
            self.assertTrue(edge in [('a', 'b'), ('c', 'b'), ('d', 'a'), ('d', 'b'), ('d', 'e')] or
                            (edge[1], edge[0]) in [('a', 'b'), ('c', 'b'), ('d', 'a'), ('d', 'b'), ('d', 'e')])

    def tearDown(self):
        del self.G