code: def __next__(self):
      # This iterator returns a list representing a mini-batch. Each item
      # indicates a different position in the original sequence. Each item is
      # represented by a pair of two word IDs. The first word is at the
      # "current" position, while the second word at the next position.
      # At each iteration, the iteration count is incremented, which pushes
      # forward the "current" position.
      length = len(self.dataset)
      if not self.repeat and self.iteration * self.batch_size >= length:
          # If not self.repeat, this iterator stops at the end of the first
          # epoch (i.e., when all words are visited once).
          raise StopIteration
      cur_words = self.get_words()
      self._previous_epoch_detail = self.epoch_detail
      self.iteration += 1
      next_words = self.get_words()
  
      epoch = self.iteration * self.batch_size // length
      self.is_new_epoch = self.epoch < epoch
      if self.is_new_epoch:
          self.epoch = epoch
  
      return list(zip(cur_words, next_words))
  
imports: from __future__ import print_function
  import argparse
  import numpy
  import random
  import sys
  import chainer
  from chainer import configuration
  from chainer.dataset import convert
  import chainer.functions
  from chainer.functions.loss import softmax_cross_entropy
  import chainer.links
  from chainer import serializers
  from chainer import static_graph
  import chainerx
label_desc: Use image node_id 2 for calling the ParallelSequentialIterator obj's underlying member method code with example usage: obj.__next__() and returns: list