code: def test_table_from_dataset(self):
      keys = dataset_ops.Dataset.from_tensor_slices([2, 3, 4])
      values = dataset_ops.Dataset.from_tensor_slices(
          ["two", "three", "four"]
      )
      ds = dataset_ops.Dataset.zip((keys, values))
      table = lookup_ops.table_from_dataset(
          ds, default_value="n/a", key_dtype=dtypes.int64
      )
      output = table.lookup(
          constant_op.constant([2, 3, 4], dtypes.int32)
      )
      self.evaluate(core_lookup_ops.tables_initializer())
      result = self.evaluate(output)
      self.assertAllEqual(["two", "three", "four"], 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 10 for calling the DatasetInitializerTest obj's underlying member method code with example usage: obj.test_table_from_dataset() without return types