#!/usr/bin/env python3 # License: MIT License import unittest import numpy as np from pyctbn.legacy.structure_graph.conditional_intensity_matrix import ConditionalIntensityMatrix class TestConditionalIntensityMatrix(unittest.TestCase): @classmethod def setUpClass(cls) -> None: cls.state_res_times = np.random.rand(1, 3)[0] cls.state_res_times = cls.state_res_times * 1000 cls.state_transition_matrix = np.random.randint(1, 10000, (3, 3)) for i in range(0, len(cls.state_res_times)): cls.state_transition_matrix[i, i] = 0 cls.state_transition_matrix[i, i] = np.sum(cls.state_transition_matrix[i]) def test_init(self): c1 = ConditionalIntensityMatrix(state_residence_times = self.state_res_times, state_transition_matrix = self.state_transition_matrix) self.assertTrue(np.array_equal(self.state_res_times, c1.state_residence_times)) self.assertTrue(np.array_equal(self.state_transition_matrix, c1.state_transition_matrix)) self.assertEqual(c1.cim.dtype, float) self.assertEqual(self.state_transition_matrix.shape, c1.cim.shape) def test_compute_cim_coefficients(self): c1 = ConditionalIntensityMatrix(state_residence_times = self.state_res_times, state_transition_matrix = self.state_transition_matrix) c2 = self.state_transition_matrix.astype(float) np.fill_diagonal(c2, c2.diagonal() * -1) for i in range(0, len(self.state_res_times)): for j in range(0, len(self.state_res_times)): c2[i, j] = (c2[i, j] + 1) / (self.state_res_times[i] + 1) c1.compute_cim_coefficients() for i in range(0, len(c1.state_residence_times)): self.assertTrue(np.isclose(np.sum(c1.cim[i]), 0.0, 1e01,1e01)) for i in range(0, len(self.state_res_times)): for j in range(0, len(self.state_res_times)): self.assertTrue(np.isclose(c1.cim[i, j], c2[i, j], 1e01)) def test_repr(self): c1 = ConditionalIntensityMatrix(state_residence_times = self.state_res_times, state_transition_matrix = self.state_transition_matrix) print(c1) if __name__ == '__main__': unittest.main()