PyCTBN/main_package/tests/estimators/test_parameters_estimator.py

import sys
sys.path.append("../../classes/")
import unittest
import numpy as np
import glob
import os

import structure_graph.network_graph as ng
import structure_graph.sample_path as sp
import structure_graph.set_of_cims as sofc
import estimators.parameters_estimator as pe
import utility.json_importer as ji


class TestParametersEstimatior(unittest.TestCase):

    @classmethod
    def setUpClass(cls) -> None:
        cls.read_files = glob.glob(os.path.join('../../data', "*.json"))
        cls.importer = ji.JsonImporter("../../data/networks_and_trajectories_ternary_data_01_3.json", 'samples', 'dyn.str', 'variables', 'Time', 'Name')
        cls.s1 = sp.SamplePath(cls.importer)
        cls.s1.build_trajectories()
        cls.s1.build_structure()
        cls.g1 = ng.NetworkGraph(cls.s1.structure)
        cls.g1.init_graph()

    def test_fast_init(self):
        for node in self.g1.nodes:
            g = ng.NetworkGraph(self.s1.structure)
            g.fast_init(node)
            p1 = pe.ParametersEstimator(self.s1, g)
            self.assertEqual(p1.sample_path, self.s1)
            self.assertEqual(p1.net_graph, g)
            self.assertIsNone(p1.single_set_of_cims)
            p1.fast_init(node)
            self.assertIsInstance(p1.single_set_of_cims, sofc.SetOfCims)

    def test_compute_parameters_for_node(self):
        for indx, node in enumerate(self.g1.nodes):
            print(node)
            g = ng.NetworkGraph(self.s1.structure)
            g.fast_init(node)
            p1 = pe.ParametersEstimator(self.s1, g)
            p1.fast_init(node)
            sofc1 = p1.compute_parameters_for_node(node)
            sampled_cims = self.aux_import_sampled_cims('dyn.cims')
            sc = list(sampled_cims.values())
            print(sampled_cims.values())
            #print(sc[indx])
            self.equality_of_cims_of_node(sc[indx], sofc1.actual_cims)

    def equality_of_cims_of_node(self, sampled_cims, estimated_cims):
        #print(sampled_cims)
        #print(estimated_cims)
        self.assertEqual(len(sampled_cims), len(estimated_cims))
        for c1, c2 in zip(sampled_cims, estimated_cims):
            self.cim_equality_test(c1, c2.cim)

    def cim_equality_test(self, cim1, cim2):
        for r1, r2 in zip(cim1, cim2):
            self.assertTrue(np.all(np.isclose(r1, r2, 1e-01, 1e-01) == True))

    def aux_import_sampled_cims(self, cims_label):
        i1 = ji.JsonImporter(self.read_files[0], '', '', '', '', '')
        raw_data = i1.read_json_file()
        return i1.import_sampled_cims(raw_data, 0, cims_label)

    """
    def test_init(self):
        self.aux_test_init(self.s1, self.g1)

    def test_init_sets_of_cims_container(self):
        self.aux_test_init_sets_cims_container(self.s1, self.g1)

    def aux_test_init(self, sample_p, graph):
        pe1 = pe.ParametersEstimator(sample_p, graph)
        self.assertEqual(sample_p, pe1.sample_path)
        self.assertEqual(graph, pe1.net_graph)
        self.assertIsNone(pe1.sets_of_cims_struct)

    def aux_test_init_sets_cims_container(self, sample_p, graph):
        pe1 = pe.ParametersEstimator(sample_p, graph)
        pe1.init_sets_cims_container()
        self.assertIsInstance(pe1.sets_of_cims_struct, scc.SetsOfCimsContainer)

    def test_compute_parameters(self):
        self.aux_test_compute_parameters(self.s1, self.g1)
        """
if __name__ == '__main__':
    unittest.main()