def test_should_the_operator_work_with_two_solutions_with_two_variables(self, random_call):
operator = CXCrossover(1.0)
solution1 = PermutationSolution(number_of_variables=2, number_of_objectives=1)
solution1.variables[0] = [1, 2, 3, 4, 7]
solution1.variables[1] = [2, 6, 4, 5, 3]
solution2 = PermutationSolution(number_of_variables=2, number_of_objectives=1)
solution2.variables[0] = [2, 3, 4, 1, 9]
solution2.variables[1] = [5, 3, 2, 4, 6]
random_call.return_value = 0
offspring = operator.execute([solution1, solution2])
self.assertEqual([1, 2, 3, 4, 9], offspring[0].variables[0])
self.assertEqual([2, 3, 4, 5, 6], offspring[0].variables[1])
self.assertEqual([1, 2, 3, 4, 7], offspring[1].variables[0])
self.assertEqual([2, 6, 4, 5, 3], offspring[1].variables[1])
def test_should_the_solution_remain_unchanged_if_the_probability_is_zero(
self, random_call):
operator = CXCrossover(1.0)
solution1 = PermutationSolution(number_of_variables=2,
number_of_objectives=1)
solution1.variables[0] = [1, 2, 3, 4, 7]
solution1.variables[1] = [2, 6, 4, 5, 3]
solution2 = PermutationSolution(number_of_variables=2,
number_of_objectives=1)
solution2.variables[0] = [2, 3, 4, 1, 9]
solution2.variables[1] = [5, 3, 2, 4, 6]
random_call.return_value = 0
offspring = operator.execute([solution1, solution2])
self.assertEqual([1, 2, 3, 4, 9], offspring[0].variables[0])
self.assertEqual([2, 3, 4, 5, 6], offspring[0].variables[1])
self.assertEqual([1, 2, 3, 4, 7], offspring[1].variables[0])
self.assertEqual([2, 6, 4, 5, 3], offspring[1].variables[1])