code: def reset(self):
      # Number of completed sweeps over the dataset. In this case, it is
      # incremented if every word is visited at least once after the last
      # increment.
      self.epoch = 0
      # True if the epoch is incremented at the last iteration.
      self.is_new_epoch = False
      # NOTE: this is not a count of parameter updates. It is just a count of
      # calls of ``__next__``.
      self.iteration = 0
      # use -1 instead of None internally
      self._previous_epoch_detail = -1.0
  
imports: from __future__ import division
  import argparse
  import sys
  import numpy
  import chainer
  import chainer.functions
  import chainer.links
  from chainer import training
  from chainer.training import extensions
  import chainerx
label_desc: Use image node_id 2 for calling the ParallelSequentialIterator obj's underlying member method code with example usage: obj.reset() without return types