def test_fitness_normalized(executor_mock, trace_mock, known_data_mock):
ff = BranchDistanceSuiteFitnessFunction(executor_mock)
known_data_mock.existing_predicates[0] = MagicMock(PredicateMetaData)
trace_mock.executed_predicates[0] = 2
trace_mock.false_distances[0] = 0
trace_mock.true_distances[0] = 7.0
assert ff._compute_fitness(trace_mock, known_data_mock) == 0.875
def test_fitness_function_diff(executor_mock, trace_mock, known_data_mock):
ff = BranchDistanceSuiteFitnessFunction(executor_mock)
known_data_mock.existing_code_objects[0] = MagicMock(CodeObjectMetaData)
known_data_mock.existing_code_objects[1] = MagicMock(CodeObjectMetaData)
known_data_mock.existing_code_objects[2] = MagicMock(CodeObjectMetaData)
trace_mock.executed_code_objects.add(0)
assert ff._compute_fitness(trace_mock, known_data_mock) == 2.0
def test_fitness_neither_covered(executor_mock, trace_mock, known_data_mock):
ff = BranchDistanceSuiteFitnessFunction(executor_mock)
known_data_mock.existing_predicates[0] = MagicMock(PredicateMetaData)
assert ff._compute_fitness(trace_mock, known_data_mock) == 2.0
def test_default_fitness(executor_mock, trace_mock, known_data_mock):
ff = BranchDistanceSuiteFitnessFunction(executor_mock)
assert ff._compute_fitness(trace_mock, known_data_mock) == 0
