code: def _create_graph_with_table_initialized_by_table_output():
      filename = tf.compat.v1.placeholder(tf.string, ())
      table1 = _create_lookup_table_from_file(filename)
  
      # Use output from the first table to initialize the second table.
      keys = ["a", "b", "c"]
      tensor_keys = tf.as_string(
          table1.lookup(tf.constant(keys, tf.string))
      )
      initializer2 = tf.lookup.KeyValueTensorInitializer(
          keys=tensor_keys,
          values=tf.range(len(keys), dtype=tf.int64),
          key_dtype=tf.string,
          value_dtype=tf.int64,
      )
      table2 = tf.lookup.StaticHashTable(initializer2, default_value=-1)
      x = tf.compat.v1.placeholder(tf.string, (None,))
      y = table2.lookup(x)
      return {"filename": filename, "x": x, "y": y}
  
imports: import abc
  import os
  import tempfile
  import tensorflow
  from tensorflow_transform import graph_tools
  from tensorflow_transform import test_case
  from tfx_bsl.types import tfx_namedtuple
  from tensorflow.python.ops import control_flow_ops
label_desc: Use image node_id 16 for calling a global function with example usage: _create_graph_with_table_initialized_by_table_output() and returns: dict