class_docstr: Base class for dataset tests.
code: def datasetInitializer(self, vals):
      keys = dataset_ops.Dataset.range(len(vals))
      values = dataset_ops.Dataset.from_tensor_slices(vals)
      ds = dataset_ops.Dataset.zip((keys, values))
      return data_lookup_ops.DatasetInitializer(ds)
  
imports: import os
  import random
  import re
  from tensorflow.python.data.experimental.ops import lookup_ops
  from tensorflow.python.data.experimental.ops import random_access
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import test_mode
  from tensorflow.python.data.util import nest
  from tensorflow.python.data.util import structure
  from tensorflow.python.eager import context
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_dataset_ops
  from tensorflow.python.ops import gen_experimental_dataset_ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 16 for calling the DatasetTestBase obj's underlying member method code with example usage: obj.datasetInitializer(vals) and returns: data_lookup_ops