code: def _build_concatenate_dataset(self, var_array, options=None):
      input_components = (
          np.tile(np.array([[1], [2], [3], [4]]), 20),
          np.tile(np.array([[12], [13], [14], [15]]), 4),
      )
      to_concatenate_components = (
          np.tile(np.array([[5], [6], [7], [8], [9]]), 20),
          var_array,
      )
  
      dataset = dataset_ops.Dataset.from_tensor_slices(
          input_components
      ).concatenate(
          dataset_ops.Dataset.from_tensor_slices(
              to_concatenate_components
          )
      )
      if options:
          dataset = dataset.with_options(options)
      return dataset
  
imports: 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.data.util import nest
  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 ConcatenateCheckpointTest obj's underlying member method code with example usage: obj._build_concatenate_dataset(var_array, options) and returns: dataset