def METHOD_NAME(self, batch_size, fake_data=False):
    """Return the next `batch_size` examples from this data set."""
    if fake_data:
        fake_image = [1] * 784
        if self.one_hot:
            fake_label = [1] + [0] * 9
        else:
            fake_label = 0
        return [fake_image for _ in range(batch_size)], [fake_label for _ in range(batch_size)]
    start = self._index_in_epoch
    self._index_in_epoch += batch_size
    if self._index_in_epoch > self._num_examples:
        # Finished epoch
        self._epochs_completed += 1
        # Shuffle the data
        perm = numpy.arange(self._num_examples)
        numpy.random.shuffle(perm)
        self._images = self._images[perm]
        self._labels = self._labels[perm]
        # Start next epoch
        start = 0
        self._index_in_epoch = batch_size
        assert batch_size <= self._num_examples
    end = self._index_in_epoch
    return self._images[start:end], self._labels[start:end]