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from scripts.generate import MetashiftFactory, MetashiftData, get_dataset_name |
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import json |
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from omegaconf import OmegaConf |
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import random |
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import pytest |
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CONFIG_PATH = "configs/generate.yaml" |
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CANDIDATE_SUBSETS_PATH = "scripts/artifacts/csp.pkl" |
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def test_consistent_generate(): |
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config = OmegaConf.load(CONFIG_PATH) |
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metashift_factory = MetashiftFactory( |
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full_candidate_subsets_path=CANDIDATE_SUBSETS_PATH, |
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visual_genome_images_dir=".", |
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) |
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info: dict[str, MetashiftData] = dict() |
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for task_config in config.tasks: |
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for experiment_config in task_config.experiments: |
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data = metashift_factory.create( |
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seed=task_config.seed, |
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selected_classes=task_config.selected_classes, |
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spurious_class=experiment_config.spurious_class, |
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train_spurious_context=experiment_config.train_context, |
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test_spurious_context=experiment_config.test_context, |
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num_test_images_per_class=task_config.num_images_per_class_test, |
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num_train_images_per_class=task_config.num_images_per_class_train, |
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) |
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dataset_name = get_dataset_name(task_config.name, experiment_config.name) |
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assert dataset_name not in info |
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info[dataset_name] = data |
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random.seed(2) |
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unique_ids = metashift_factory._get_unique_ids_from_info(info) |
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random.seed(10000) |
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unique_ids_2 = metashift_factory._get_unique_ids_from_info(info) |
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assert unique_ids == unique_ids_2 |
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@pytest.mark.parametrize( |
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"scenario_path", |
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[ |
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"task_1_bed_cat_dog.json", |
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"task_1_bed_dog_cat.json", |
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"task_2_table_books_cat.json", |
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"task_2_table_books_dog.json", |
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"task_2_table_cat_dog.json", |
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"task_2_table_dog_cat.json", |
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], |
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) |
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def test_unique_train_test_ids(scenario_path: str): |
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""" Test that the train and test sets have unique ids.""" |
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with open(f"scenarios/{scenario_path}", "r") as f: |
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scenario = json.load(f) |
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train_unique_ids = set() |
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test_unique_ids = set() |
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for train_ids in scenario["data_splits"]["train"].values(): |
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for train_id in train_ids: |
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train_unique_ids.add(train_id) |
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for test_ids in scenario["data_splits"]["test"].values(): |
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for test_id in test_ids: |
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test_unique_ids.add(test_id) |
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intersection = train_unique_ids.intersection(test_unique_ids) |
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assert len(intersection) == 0, len(intersection) |
