from scripts.generate import MetashiftFactory, MetashiftData, get_dataset_name from omegaconf import OmegaConf import random CONFIG_PATH = "configs/generate.yaml" CANDIDATE_SUBSETS_PATH = "scripts/artifacts/csp.pkl" def test_generate(): config = OmegaConf.load(CONFIG_PATH) metashift_factory = MetashiftFactory( full_candidate_subsets_path=CANDIDATE_SUBSETS_PATH, visual_genome_images_dir=".", ) info: dict[str, MetashiftData] = dict() for task_config in config.tasks: for experiment_config in task_config.experiments: data = metashift_factory.create( seed=task_config.seed, selected_classes=task_config.selected_classes, spurious_class=experiment_config.spurious_class, train_spurious_context=experiment_config.train_context, test_spurious_context=experiment_config.test_context, num_test_images_per_class=task_config.num_images_per_class_test, num_train_images_per_class=task_config.num_images_per_class_train, ) dataset_name = get_dataset_name(task_config.name, experiment_config.name) assert dataset_name not in info info[dataset_name] = data random.seed(2) unique_ids = metashift_factory._get_unique_ids_from_info(info) random.seed(10000) unique_ids_2 = metashift_factory._get_unique_ids_from_info(info) assert unique_ids == unique_ids_2