code: def dataset_fn(
      self,
      input_values,
      cycle_length,
      block_length,
      sloppy,
      buffer_output_elements,
      prefetch_input_elements,
  ):
      def map_py_fn(x):
          self.write_coordination_events[x].wait()
          self.write_coordination_events[x].clear()
          self.read_coordination_events[x].release()
          if self.error:
              err = self.error
              self.error = None
              raise err  # pylint: disable=raising-bad-type
          return x * x
  
      def map_fn(x):
          return script_ops.py_func(map_py_fn, [x], x.dtype)
  
      def interleave_fn(x):
          dataset = dataset_ops.Dataset.from_tensors(x)
          dataset = dataset.repeat(x)
          return dataset.map(map_fn)
  
      return (
          dataset_ops.Dataset.from_tensor_slices(input_values)
          .repeat(self.repeat_count)
          .apply(
              interleave_ops.parallel_interleave(
                  interleave_fn,
                  cycle_length,
                  block_length,
                  sloppy,
                  buffer_output_elements,
                  prefetch_input_elements,
              )
          )
      )
  
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 2 for calling the ParallelInterleaveTest obj's underlying member method code with example usage: obj.dataset_fn(input_values, cycle_length, block_length, sloppy, buffer_output_elements, prefetch_input_elements) and returns: dataset_ops, unknown, script_ops, dataset