| from scripts.generate import MetashiftFactory, MetashiftData, get_dataset_name |
| import json |
| from omegaconf import OmegaConf |
| import random |
| import pytest |
|
|
| CONFIG_PATH = "configs/generate.yaml" |
| CANDIDATE_SUBSETS_PATH = "scripts/artifacts/csp.pkl" |
|
|
|
|
| def test_consistent_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 |
|
|
|
|
| @pytest.mark.parametrize( |
| "scenario_path", |
| [ |
| "task_1_bed_cat_dog.json", |
| "task_1_bed_dog_cat.json", |
| "task_2_table_books_cat.json", |
| "task_2_table_books_dog.json", |
| "task_2_table_cat_dog.json", |
| "task_2_table_dog_cat.json", |
| ], |
| ) |
| def test_unique_train_test_ids(scenario_path: str): |
| """ Test that the train and test sets have unique ids.""" |
| with open(f"scenarios/{scenario_path}", "r") as f: |
| scenario = json.load(f) |
| train_unique_ids = set() |
| test_unique_ids = set() |
| for train_ids in scenario["data_splits"]["train"].values(): |
| for train_id in train_ids: |
| train_unique_ids.add(train_id) |
| for test_ids in scenario["data_splits"]["test"].values(): |
| for test_id in test_ids: |
| test_unique_ids.add(test_id) |
| |
| intersection = train_unique_ids.intersection(test_unique_ids) |
| assert len(intersection) == 0, len(intersection) |
