import evaluate

_accuracy_metric = evaluate.load("accuracy")


def accuracy(predictions, y):
    unique_values = set(y + predictions)
    label_mapping = {label: i for i, label in enumerate(unique_values)}
    true_labels = [label_mapping[value] for value in y]
    pred_labels = [label_mapping[value] for value in predictions]
    # Compute accuracy
    result = _accuracy_metric.compute(predictions=pred_labels, references=true_labels)
    return result["accuracy"]