code: def _build_dataset(self, arr, options=None):
      components = [
          np.tile(np.array([[1], [2], [3], [4]]), 20),
          np.tile(np.array([[12], [13], [14], [15]]), 22),
          np.array(arr),
      ]
      datasets = [
          dataset_ops.Dataset.from_tensor_slices(component)
          for component in components
      ]
      dataset = dataset_ops.Dataset.zip(
          (datasets[0], (datasets[1], datasets[2]))
      )
      if options:
          dataset = dataset.with_options(options)
      return dataset
  
imports: import collections
  import dataclasses
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import random_access
  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 tensor_shape
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the ZipCheckpointTest obj's underlying member method code with example usage: obj._build_dataset(arr, options) and returns: dataset