def test_go_and_get_individuals(self):
# load random values for the simulation
self._load_random_values()
# Execute a simulation
mlc = MLCLocal(working_dir=MLCWorkspaceTest.WORKSPACE_DIR)
mlc.new_experiment("test_go_and_check", MLCWorkspaceTest.ORIGINAL_CONFIGURATION)
mlc.open_experiment("test_go_and_check")
mlc.go("test_go_and_check", 2)
# obtain individuals
individuals = mlc.get_individuals("test_go_and_check")
# check number of individuals
self.assertEqual(len(individuals), 11)
# TODO: Check individual values
for indiv_id, indiv_data in individuals.items():
self.assertIsInstance(indiv_data, IndividualData)
# Test Update Individual Cost in all generations
mlc.update_individual_cost("test_go_and_check", 2, 1000, 1001)
indiv_data = mlc.get_individuals("test_go_and_check")[2]
self.assertEqual(indiv_data.get_appearances(), 2)
self.assertEqual(indiv_data.get_cost_history(), {1: [(1000.0, 1001)], 2: [(1000.0, 1001)]})
mlc.close_experiment("test_go_and_check")
mlc.delete_experiment("test_go_and_check")
def test_go_and_get_generations(self):
try:
# load random values for the simulation
self._load_random_values()
# Execute a simulation
mlc = MLCLocal(working_dir=MLCWorkspaceTest.WORKSPACE_DIR)
mlc.new_experiment("test_go_and_check", MLCWorkspaceTest.ORIGINAL_CONFIGURATION)
mlc.open_experiment("test_go_and_check")
mlc.go("test_go_and_check", 2)
# get first population
first_generation = mlc.get_generation("test_go_and_check", 1)
self.assertIsInstance(first_generation, MLCPopulation)
# get second generation
second_generation = mlc.get_generation("test_go_and_check", 2)
self.assertIsInstance(second_generation, MLCPopulation)
# third generation does not exist and must raise an Exception
# TODO: Use a specific exception instead of IndexError
try:
third_generation = mlc.get_generation("test_go_and_check", 3)
self.assertIsInstance(third_generation, MLCPopulation)
self.assertTrue(False)
except IndexError:
self.assertTrue(True)
finally:
# FIXME: use Setup/TearDown testcase
os.unlink(os.path.join(MLCWorkspaceTest.WORKSPACE_DIR, "test_go_and_check") + ".conf")
os.unlink(os.path.join(MLCWorkspaceTest.WORKSPACE_DIR, "test_go_and_check") + ".mlc")
pass
def test_go_and_check_simulation_info(self):
# load random values for the simulation
self._load_random_values()
# Execute a simulation
mlc = MLCLocal(working_dir=MLCWorkspaceTest.WORKSPACE_DIR)
mlc.new_experiment("test_go_and_check", MLCWorkspaceTest.ORIGINAL_CONFIGURATION)
mlc.open_experiment("test_go_and_check")
mlc.go("test_go_and_check", 2)
# check simulation info
info = mlc.get_experiment_info("test_go_and_check")
self._assert_key_value(info, "name", "test_go_and_check")
self._assert_key_value(info, "generations", 2)
self._assert_key_value(info, "individuals", 11)
self._assert_key_value(info, "individuals_per_generation", 10)
mlc.close_experiment("test_go_and_check")
mlc.delete_experiment("test_go_and_check")