| 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 | |