def configure_minibatch_by_padded_size(
    *,
    size: Sizing,
    buffer: int,
    discard_oversize: bool,
    get_length: Optional[Callable[[ItemT], int]] = None
) -> BatcherT:
    """Create a batcher that uses the `batch_by_padded_size` strategy.

    The padded size is defined as the maximum length of sequences within the
    batch multiplied by the number of sequences in the batch.

    size (int or Sequence[int]): The largest padded size to batch sequences into.
        Can be a single integer, or a sequence, allowing for variable batch sizes.
    buffer (int): The number of sequences to accumulate before sorting by length.
        A larger buffer will result in more even sizing, but if the buffer is
        very large, the iteration order will be less random, which can result
        in suboptimal training.
    discard_oversize (bool): Whether to discard sequences that are by themselves
        longer than the largest padded batch size.
    get_length (Callable or None): Function to get the length of a sequence item.
        The `len` function is used by default.
    """
    # Avoid displacing optional values from the underlying function.
    optionals = {"get_length": get_length} if get_length is not None else {}
    return partial(
        minibatch_by_padded_size,
        size=size,
        buffer=buffer,
        discard_oversize=discard_oversize,
        **optionals
    )
Create a batcher that uses the `batch_by_padded_size` strategy.

    The padded size is defined as the maximum length of sequences within the
    batch multiplied by the number of sequences in the batch.

    size (int or Sequence[int]): The largest padded size to batch sequences into.
        Can be a single integer, or a sequence, allowing for variable batch sizes.
    buffer (int): The number of sequences to accumulate before sorting by length.
        A larger buffer will result in more even sizing, but if the buffer is
        very large, the iteration order will be less random, which can result
        in suboptimal training.
    discard_oversize (bool): Whether to discard sequences that are by themselves
        longer than the largest padded batch size.
    get_length (Callable or None): Function to get the length of a sequence item.
        The `len` function is used by default.
    
spacy/training/batchers.py