code: def __init__(
      self,
      dataset,
      batch_size,
      repeat,
      n_processes,
      n_prefetch,
      mem_size,
      comm,
      order_sampler,
      _interruption_testing,
      maxtasksperchild,
  ):
      self.dataset = dataset
      self.batch_size = batch_size
      self.repeat = repeat
      self.n_processes = n_processes
      self.mem_size = mem_size
      self._comm = comm
      self.order_sampler = order_sampler
      self.maxtasksperchild = maxtasksperchild
  
      self._allocate_shared_memory()
  
      self._interruption_testing = _interruption_testing
  
imports: from __future__ import division
  import datetime
  import multiprocessing
  from multiprocessing import sharedctypes
  import signal
  import sys
  import threading
  import warnings
  import numpy
  import six
  from chainer.dataset import iterator
  from chainer.iterators import _statemachine
  from chainer.iterators.order_samplers import ShuffleOrderSampler
label_desc: Use image node_id 1 to create a new _PrefetchLoop object from inherited base classes: object with example: obj = _PrefetchLoop(dataset, batch_size, repeat, n_processes, n_prefetch, mem_size, comm, order_sampler, _interruption_testing, maxtasksperchild)