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from lighteval.metrics.dynamic_metrics import loglikelihood_acc_metric
from lighteval.metrics.utils.metric_utils import Metric
from lighteval.tasks.templates.utils.formulation import Formulation, MCFFormulation


def normalize_subset(subset: str) -> str:
    return subset.replace(" ", "_").replace("(", "").replace(")", "").lower()


def get_metrics_for_formulation(formulation: Formulation, metrics: list[Metric]) -> list[Metric]:
    """
    Choose the appropriate metrics for the given formulation otherwise fallback to the original metrics.
    """
    match formulation:
        #
        case MCFFormulation(choice_prefix="Letters"):
            return [loglikelihood_acc_metric(normalization=None)]
        case _:
            return metrics
