class_docstr: Dataset iterator to create a batch of sequences at different positions.
  
  This iterator returns a pair of the current words and the context words.
class_docstr_tok: ["Dataset","iterator","to","create","a","batch","of","sequences","at","different","positions",".","This","iterator","returns","a","pair","of","the","current","words","and","the","context","words","."]
code: def serialize(self, serializer):
      self.current_position = serializer(
          "current_position", self.current_position
      )
      self.epoch = serializer("epoch", self.epoch)
      self.is_new_epoch = serializer("is_new_epoch", self.is_new_epoch)
      if self.order is not None:
          serializer("order", self.order)
  
imports: import argparse
  import collections
  import os
  import six
  import warnings
  import numpy
  import chainer
  from chainer.backends import cuda
  import chainer.functions
  import chainer.initializers
  import chainer.links
  import chainer.optimizers
  from chainer import reporter
  from chainer import training
  from chainer.training import extensions
label_desc: Use image node_id 4 for calling the WindowIterator obj's underlying member method code with example usage: obj.serialize(serializer) without return types