def METHOD_NAME(
    input_size: int,
    last_conv_size,
    subsampling_factor: int,
    is_vgg: bool = True,
) -> Tuple[Union[Tuple[int, int], int], int]:
    """Return the convolution module parameters.
    Args:
        input_size: Module input size.
        last_conv_size: Last convolution size for module output size computation.
        subsampling_factor: Total subsampling factor.
        is_vgg: Whether the module type is VGG-like.
    Returns:
        : First MaxPool2D kernel size or second Conv2d kernel size and stride.
        output_size: Convolution module output size.
    """
    if is_vgg:
        maxpool_kernel1 = subsampling_factor // 2
        output_size = last_conv_size * (((input_size - 1) // 2 - 1) // 2)
        return maxpool_kernel1, output_size
    if subsampling_factor == 2:
        conv_params = (3, 1)
    elif subsampling_factor == 4:
        conv_params = (3, 2)
    else:
        conv_params = (5, 3)
    output_size = last_conv_size * (
        ((input_size - 1) // 2 - (conv_params[0] - conv_params[1])) // conv_params[1]
    )
    return conv_params, output_size