def test_get_info_empty_simulation(self):
mlc = MLCLocal(working_dir=MLCWorkspaceTest.WORKSPACE_DIR)
mlc.open_experiment(MLCWorkspaceTest.ORIGINAL_EXPERIMENT)
info = mlc.get_experiment_info(MLCWorkspaceTest.ORIGINAL_EXPERIMENT)
self._assert_key_value(info, "name", MLCWorkspaceTest.ORIGINAL_EXPERIMENT)
self._assert_key_value(info, "generations", 0)
self._assert_key_value(info, "individuals", 0)
self._assert_key_value(info, "individuals_per_generation", 10)
mlc.close_experiment(MLCWorkspaceTest.ORIGINAL_EXPERIMENT)
mlc.delete_experiment(MLCWorkspaceTest.ORIGINAL_EXPERIMENT)
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")