code: def test(
      self,
      verify_fn,
      symbolic_checkpoint,
      cycle_length,
      block_length,
      num_parallel_calls,
  ):
      num_repeats = 2
      input_values = np.array([2, 3], dtype=np.int64)
  
      def _build_dataset():
          dataset = dataset_ops.Dataset.from_tensor_slices(input_values)
          dataset = dataset.repeat(num_repeats)
          dataset = dataset.interleave(
              lambda x: dataset_ops.Dataset.from_tensors(x).repeat(x),
              cycle_length,
              block_length,
              num_parallel_calls,
          )
          options = options_lib.Options()
          options.experimental_symbolic_checkpoint = symbolic_checkpoint
          dataset = dataset.with_options(options)
          return dataset
  
      num_outputs = np.sum(input_values) * num_repeats
      verify_fn(self, _build_dataset, num_outputs)
  
imports: import multiprocessing
  import os
  from absl.testing import parameterized
  import numpy
  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 errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the InterleaveCheckpointTest obj's underlying member method code with example usage: obj.test(verify_fn, symbolic_checkpoint, cycle_length, block_length, num_parallel_calls) and returns: dataset