code: def setUp(self):
      self.error = None
      self.repeat_count = 2
  
      # Set up threading events used to sequence when items are produced that
      # are subsequently interleaved. These events allow us to deterministically
      # simulate slowdowns and force sloppiness.
      self.read_coordination_events = {}
      self.write_coordination_events = {}
      # input values [4, 5, 6] are the common case for the tests; set defaults
      for i in range(4, 7):
          self.read_coordination_events[i] = threading.Semaphore(0)
          self.write_coordination_events[i] = threading.Event()
  
imports: import itertools
  import math
  import threading
  import time
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import interleave_ops
  from tensorflow.python.data.experimental.ops import testing
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the ParallelInterleaveTest obj's underlying member method code with example usage: obj.setUp() without return types