code: def make_static_hashtable_tests(options):
      """Make a set of tests to use static hashtable."""
  
      # Chose a set of parameters
      test_parameters = [
          {
              "table": [
                  (tf.string, tf.int64, ["1", "2", "3"], [4, 5, 6], -1),
                  (
                      tf.int64,
                      tf.string,
                      [1, 2, 3],
                      ["4", "5", "6"],
                      "-1",
                  ),
              ],
              "input_shape": [[], [3], [1], [10]],
          }
      ]
  
      def build_graph(parameters):
          """Build the graph for static hashtable tests."""
          (
              key_dtype,
              value_dtype,
              keys,
              values,
              default_value,
          ) = parameters["table"]
  
          key_tensor = tf.constant(keys, dtype=key_dtype)
          value_tensor = tf.constant(values, dtype=value_dtype)
  
          initializer = tf.lookup.KeyValueTensorInitializer(
              key_tensor, value_tensor
          )
          table = tf.lookup.StaticHashTable(initializer, default_value)
  
          with tf.control_dependencies(
              [tf.compat.v1.initializers.tables_initializer()]
          ):
              input_value = tf.compat.v1.placeholder(
                  dtype=key_dtype,
                  name="input",
                  shape=parameters["input_shape"],
              )
              out = table.lookup(key_tensor)
          return [input_value], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          (key_dtype, _, _, _, _) = parameters["table"]
          input_values = [
              create_tensor_data(key_dtype, parameters["input_shape"])
          ]
          return input_values, sess.run(
              outputs, feed_dict=dict(zip(inputs, input_values))
          )
  
      extra_convert_options = ExtraConvertOptions()
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          extra_convert_options,
      )
  
imports: import tensorflow
  from tensorflow.lite.testing.zip_test_utils import create_tensor_data
  from tensorflow.lite.testing.zip_test_utils import ExtraConvertOptions
  from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
  from tensorflow.lite.testing.zip_test_utils import register_make_test_function
label_desc: Use image node_id 1 for calling a global function with example usage: make_static_hashtable_tests(options) and returns: list,  list, input_values,  sess