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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
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