def METHOD_NAME(self, samples):
    """Merge a list of samples to form a mini-batch.
    Args:
        samples (List[dict]): samples to collate
    Returns:
        dict: a mini-batch with the following keys:
            - `id` (LongTensor): example IDs in the original input order
            - `ntokens` (int): total number of tokens in the batch
            - `net_input` (dict): the input to the Model, containing keys:
              - `src_tokens` (LongTensor): a padded 2D Tensor of tokens in
                the source sentence of shape `(bsz, src_len)`. Padding will
                appear on the right.
            - `target` (LongTensor): a padded 2D Tensor of tokens in the
              target sentence of shape `(bsz, tgt_len)`. Padding will appear
              on the right.
    """
    return collate(samples, self.vocab.pad(), self.vocab.eos())