def test_calculate_analytical_solution_1d(self):
for init in self.INIT_CONDITION_1D:
for coefficient in self.COEFF_MATRIX_1D:
ode = Ode(coeff_matrix=coefficient, init_condition=init)
actual = ode.calculate_analytical_solution(self.STEPS)
self.assertEqual(type(actual), numpy.ndarray)
self.assertEqual(actual.size, self.EXPECTED_SIZE_100)
for index, variable in enumerate(self.STEPS):
expected = ode.calculate_exp_solution(init, coefficient, variable)
self.assertIn(type(actual[index]), self.ACCEPTED_TYPES)
self.assertEqual(actual[index], expected)
def test_calculate_analytical_solution_for_constant_diagonal_case(self):
ode = Ode(coeff_matrix=self.COEFF_MATRIX_CONSTANT_DIAGONAL, init_condition=self.INIT_CONDITION_GENERAL)
actual = ode.calculate_analytical_solution(self.STEPS)
self.assertEqual(type(actual), numpy.ndarray)
self.assertEqual(actual.size, self.EXPECTED_SIZE_200)
for i in range(self.STEP_NUMBER):
for j in range(self.INIT_CONDITION_GENERAL.size):
expected = ode.calculate_exp_solution(self.INIT_CONDITION_GENERAL[j],
self.COEFF_MATRIX_CONSTANT_DIAGONAL[j, j], self.STEPS[i])
self.assertIn(type(actual[i, j]), self.ACCEPTED_TYPES)
self.assertAlmostEqual(actual[i, j], expected, self.DECIMALS_6)
