def compare(
        self,
        inputs: List[str],
        candidates_A: List[str],
        candidates_B: List[str],
        batch_size: int = 4,
        return_probs: bool = False,
        disable_tqdm: bool = False,
    ) -> Tuple[List[Any], Metric]:
        """Facilitates easier evaluation, returning accuracy as winning probability."""
        del batch_size, return_probs, disable_tqdm
        rewards, info = self.get_reward(inputs, candidates_A, candidates_B)
        return rewards.numpy(), info
Facilitates easier evaluation, returning accuracy as winning probability.
train_zero_math.py