code: def test_basic(self):
      keys = dataset_ops.Dataset.range(100)
      values = dataset_ops.Dataset.range(100).map(
          lambda x: string_ops.as_string(x * 2)
      )
      ds = dataset_ops.Dataset.zip((keys, values))
      init = lookup_ops.DatasetInitializer(ds)
      table = self.getHashTable()(init, default_value="")
      self.initialize_table(table)
  
      output = table.lookup(
          constant_op.constant([0, 2, 5], dtypes.int64)
      )
      result = self.evaluate(output)
      self.assertAllEqual(["0", "4", "10"], result)
  
imports: import os
  from tensorflow.python import tf2
  from tensorflow.python.data.experimental.ops import lookup_ops
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import readers
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the DatasetInitializerTest obj's underlying member method code with example usage: obj.test_basic() without return types