import unittest import networkx as nx import numpy as np from line_profiler import LineProfiler import sample_path as sp import network_graph as ng class TestNetworkGraph(unittest.TestCase): @classmethod def setUpClass(cls): cls.s1 = sp.SamplePath('../data', 'samples', 'dyn.str', 'variables', 'Time', 'Name') cls.s1.build_trajectories() cls.s1.build_structure() def test_init(self): g1 = ng.NetworkGraph(self.s1.structure) self.assertEqual(self.s1.structure, g1.graph_struct) self.assertIsInstance(g1.graph, nx.DiGraph) #TODO MANCANO TUTTI I TEST DI INIZIALIZZAZIONE DEI DATI PRIVATI della classe aggiungere le property necessarie def test_add_nodes(self): g1 = ng.NetworkGraph(self.s1.structure) g1.add_nodes(self.s1.structure.list_of_nodes_labels()) for n1, n2 in zip(g1.get_nodes(), self.s1.structure.list_of_nodes_labels()): self.assertEqual(n1, n2) def test_add_edges(self): g1 = ng.NetworkGraph(self.s1.structure) g1.add_edges(self.s1.structure.list_of_edges()) for e in self.s1.structure.list_of_edges(): self.assertIn(tuple(e), g1.get_edges()) """def test_get_ordered_by_indx_set_of_parents(self): g1 = ng.NetworkGraph(self.s1.structure) g1.add_nodes(self.s1.structure.list_of_nodes_labels()) g1.add_edges(self.s1.structure.list_of_edges()) sorted_par_list_aggregated_info = g1.get_ordered_by_indx_set_of_parents(g1.get_nodes()[2]) self.test_aggregated_par_list_data(g1, g1.get_nodes()[2], sorted_par_list_aggregated_info)""" def aux_aggregated_par_list_data(self, graph, node_id, sorted_par_list_aggregated_info): for indx, element in enumerate(sorted_par_list_aggregated_info): if indx == 0: self.assertEqual(graph.get_parents_by_id(node_id), element) for j in range(0, len(sorted_par_list_aggregated_info[0]) - 1): self.assertLess(self.s1.structure.get_node_indx(sorted_par_list_aggregated_info[0][j]), self.s1.structure.get_node_indx(sorted_par_list_aggregated_info[0][j + 1])) elif indx == 1: for node, node_indx in zip(sorted_par_list_aggregated_info[0], sorted_par_list_aggregated_info[1]): self.assertEqual(graph.get_node_indx(node), node_indx) else: for node, node_val in zip(sorted_par_list_aggregated_info[0], sorted_par_list_aggregated_info[2]): self.assertEqual(graph.graph_struct.get_states_number(node), node_val) def test_get_ord_set_of_par_of_all_nodes(self): g1 = ng.NetworkGraph(self.s1.structure) g1.add_nodes(self.s1.structure.list_of_nodes_labels()) g1.add_edges(self.s1.structure.list_of_edges()) sorted_list_of_par_lists = g1.get_ord_set_of_par_of_all_nodes() for node, par_list in zip(g1.get_nodes_sorted_by_indx(), sorted_list_of_par_lists): self.aux_aggregated_par_list_data(g1, node, par_list) def test_get_ordered_by_indx_parents_values_for_all_nodes(self): g1 = ng.NetworkGraph(self.s1.structure) g1.add_nodes(self.s1.structure.list_of_nodes_labels()) g1.add_edges(self.s1.structure.list_of_edges()) g1.aggregated_info_about_nodes_parents = g1.get_ord_set_of_par_of_all_nodes() #print(g1.get_ordered_by_indx_parents_values_for_all_nodes()) parents_values_list = g1.get_ordered_by_indx_parents_values_for_all_nodes() for pv1, aggr in zip(parents_values_list, g1.aggregated_info_about_nodes_parents): self.assertEqual(pv1, aggr[2]) def test_get_states_number_of_all_nodes_sorted(self): g1 = ng.NetworkGraph(self.s1.structure) g1.add_nodes(self.s1.structure.list_of_nodes_labels()) g1.add_edges(self.s1.structure.list_of_edges()) nodes_cardinality_list = g1.get_states_number_of_all_nodes_sorted() for val, node in zip(nodes_cardinality_list, g1.get_nodes_sorted_by_indx()): self.assertEqual(val, g1.get_states_number(node)) def test_build_fancy_indexing_structure_no_offset(self): g1 = ng.NetworkGraph(self.s1.structure) g1.add_nodes(self.s1.structure.list_of_nodes_labels()) g1.add_edges(self.s1.structure.list_of_edges()) g1.aggregated_info_about_nodes_parents = g1.get_ord_set_of_par_of_all_nodes() fancy_indx = g1.build_fancy_indexing_structure(0) for par_indxs, aggr in zip(fancy_indx, g1.aggregated_info_about_nodes_parents): self.assertEqual(par_indxs, aggr[1]) def test_build_fancy_indexing_structure_offset(self): pass #TODO il codice di netgraph deve gestire questo caso def aux_build_time_scalar_indexing_structure_for_a_node(self, graph, node_indx, parents_indxs): time_scalar_indexing = graph.build_time_scalar_indexing_structure_for_a_node(node_indx, parents_indxs) self.assertEqual(len(time_scalar_indexing), len(parents_indxs) + 1) merged_list = parents_indxs[:] merged_list.insert(0, node_indx) #print(merged_list) vals_list = [] for node in merged_list: vals_list.append(graph.get_states_number_by_indx(node)) t_vec = np.array(vals_list) t_vec = t_vec.cumprod() #print(t_vec) self.assertTrue(np.array_equal(time_scalar_indexing, t_vec)) def aux_build_transition_scalar_indexing_structure_for_a_node(self, graph, node_indx, parents_indxs): transition_scalar_indexing = graph.build_transition_scalar_indexing_structure_for_a_node(node_indx, parents_indxs) print(transition_scalar_indexing) self.assertEqual(len(transition_scalar_indexing), len(parents_indxs) + 2) merged_list = parents_indxs[:] merged_list.insert(0, node_indx) merged_list.insert(0, node_indx) vals_list = [] for node in merged_list: vals_list.append(graph.get_states_number_by_indx(node)) m_vec = np.array([vals_list]) m_vec = m_vec.cumprod() self.assertTrue(np.array_equal(transition_scalar_indexing, m_vec)) def test_build_transition_scalar_indexing_structure(self): g1 = ng.NetworkGraph(self.s1.structure) g1.add_nodes(self.s1.structure.list_of_nodes_labels()) g1.add_edges(self.s1.structure.list_of_edges()) g1.aggregated_info_about_nodes_parents = g1.get_ord_set_of_par_of_all_nodes() fancy_indx = g1.build_fancy_indexing_structure(0) print(fancy_indx) for node_id, p_indxs in zip(g1.graph_struct.list_of_nodes_indexes(), fancy_indx): self.aux_build_transition_scalar_indexing_structure_for_a_node(g1, node_id, p_indxs) def test_build_time_scalar_indexing_structure(self): g1 = ng.NetworkGraph(self.s1.structure) g1.add_nodes(self.s1.structure.list_of_nodes_labels()) g1.add_edges(self.s1.structure.list_of_edges()) g1.aggregated_info_about_nodes_parents = g1.get_ord_set_of_par_of_all_nodes() fancy_indx = g1.build_fancy_indexing_structure(0) #print(fancy_indx) for node_id, p_indxs in zip(g1.graph_struct.list_of_nodes_indexes(), fancy_indx): self.aux_build_time_scalar_indexing_structure_for_a_node(g1, node_id, p_indxs) def test_build_time_columns_filtering_structure(self): g1 = ng.NetworkGraph(self.s1.structure) g1.add_nodes(self.s1.structure.list_of_nodes_labels()) g1.add_edges(self.s1.structure.list_of_edges()) g1.aggregated_info_about_nodes_parents = g1.get_ord_set_of_par_of_all_nodes() g1._fancy_indexing = g1.build_fancy_indexing_structure(0) g1.build_time_columns_filtering_structure() print(g1.time_filtering) t_filter = [] for node_id, p_indxs in zip(g1.get_nodes_sorted_by_indx(), g1._fancy_indexing): single_filter = [] single_filter.append(g1.get_node_indx(node_id)) single_filter.extend(p_indxs) t_filter.append(np.array(single_filter)) #print(t_filter) for a1, a2 in zip(g1.time_filtering, t_filter): self.assertTrue(np.array_equal(a1, a2)) def test_build_transition_columns_filtering_structure(self): g1 = ng.NetworkGraph(self.s1.structure) g1.add_nodes(self.s1.structure.list_of_nodes_labels()) g1.add_edges(self.s1.structure.list_of_edges()) g1.aggregated_info_about_nodes_parents = g1.get_ord_set_of_par_of_all_nodes() g1._fancy_indexing = g1.build_fancy_indexing_structure(0) g1.build_transition_columns_filtering_structure() print(g1.transition_filtering) m_filter = [] for node_id, p_indxs in zip(g1.get_nodes_sorted_by_indx(), g1._fancy_indexing): single_filter = [] single_filter.append(g1.get_node_indx(node_id) + g1.graph_struct.total_variables_number) single_filter.append(g1.get_node_indx(node_id)) single_filter.extend(p_indxs) m_filter.append(np.array(single_filter)) print(m_filter) for a1, a2 in zip(g1.transition_filtering, m_filter): self.assertTrue(np.array_equal(a1, a2)) def test_init_graph(self): g1 = ng.NetworkGraph(self.s1.structure) lp = LineProfiler() lp.add_function(g1.get_ordered_by_indx_set_of_parents) lp_wrapper = lp(g1.init_graph) lp_wrapper() lp.print_stats() """def test_remove_node(self): g1 = ng.NetworkGraph(self.s1.structure) g1.init_graph() g1.remove_node('Y') print(g1.get_nodes()) print(g1.get_edges())""" #TODO mancano i test sulle property e sui getters_vari if __name__ == '__main__': unittest.main()