code: def make_placeholder_with_default_tests(options):
      """Make a set of tests to test placeholder_with_default."""
  
      test_parameters = [
          {
              "dtype": [tf.float32, tf.int32, tf.int64],
          }
      ]
  
      def build_graph(parameters):
          """Build the placeholder_with_default testing graph."""
          const_node = tf.constant(
              [1, 2, 2, 0], shape=[2, 2], dtype=parameters["dtype"]
          )
          input_tensor = tf.compat.v1.placeholder_with_default(
              const_node, shape=[2, 2], name="input"
          )
          out = tf.equal(input_tensor, const_node, name="output")
  
          return [input_tensor], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          numpy_type = MAP_TF_TO_NUMPY_TYPE[parameters["dtype"]]
          input_value = np.array([[1, 0], [2, 1]], numpy_type)
          return [input_value], sess.run(
              outputs, feed_dict=dict(zip(inputs, [input_value]))
          )
  
      make_zip_of_tests(
          options, test_parameters, build_graph, build_inputs
      )
  
imports: import numpy
  import tensorflow
  from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
  from tensorflow.lite.testing.zip_test_utils import MAP_TF_TO_NUMPY_TYPE
  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_placeholder_with_default_tests(options) and returns: list,  list, list,  sess