code: def __init__(self, bboxes, labels, initial_count=0):
      super(_DetectionStubLink, self).__init__()
      self.count = initial_count
      self.bboxes = bboxes
      self.labels = labels
  
imports: import numpy
  import unittest
  import chainer
  from chainer.datasets import TupleDataset
  from chainer.iterators import SerialIterator
  from chainer import testing
  from chainercv.extensions import DetectionVOCEvaluator
  from chainercv.utils import generate_random_bbox
  from chainercv.utils.testing import attr
  from chainermn import create_communicator
label_desc: Use image node_id 1 to create a new _DetectionStubLink object from inherited base classes: chainer with example: obj = _DetectionStubLink(bboxes, labels, initial_count)