code: def setUp(self):
      masks = np.random.uniform(size=(10, 5, 32, 48)) > 0.5
      labels = np.ones((10, 5), dtype=np.int32)
      self.dataset = TupleDataset(
          np.random.uniform(size=(10, 3, 32, 48)), masks, labels
      )
      self.link = _InstanceSegmentationStubLink(masks, labels)
      self.iterator = SerialIterator(
          self.dataset, 1, repeat=False, shuffle=False
      )
      self.evaluator = InstanceSegmentationCOCOEvaluator(
          self.iterator, self.link, label_names=("cls0", "cls1", "cls2")
      )
      self.expected_ap = 1
  
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 InstanceSegmentationCOCOEvaluator
  from chainercv.utils.testing import attr
  from chainermn import create_communicator
label_desc: Use image node_id 1 for calling the TestInstanceSegmentationCOCOEvaluator obj's underlying member method code with example usage: obj.setUp() without return types