code: def make_constant_tests(options):
      """Make a set of tests to do constant ops."""
  
      test_parameters = [
          {
              "dtype": [tf.float32, tf.int32],
              "input_shape": [[], [1], [2], [1, 1, 1, 1], [2, 2, 2, 2]],
              "constant_is_also_output": [True, False],
              # Models should not be rejected regardless whether it has unread inputs.
              "has_unread_input": [True, False],
          }
      ]
  
      def build_graph(parameters):
          """Build a constant graph given `parameters`."""
          dummy_input = tf.compat.v1.placeholder(
              dtype=parameters["dtype"],
              name="input1",
              shape=parameters["input_shape"],
          )
          constant = tf.constant(
              create_tensor_data(
                  parameters["dtype"], parameters["input_shape"]
              )
          )
          outputs = [tf.maximum(dummy_input, constant)]
          if parameters["constant_is_also_output"]:
              outputs.append(constant)
          inputs = [dummy_input]
          if parameters["has_unread_input"]:
              unread_input = tf.compat.v1.placeholder(
                  dtype=parameters["dtype"],
                  name="unread_input",
                  shape=parameters["input_shape"],
              )
              inputs.append(unread_input)
  
          return inputs, outputs
  
      def build_inputs(parameters, sess, inputs, outputs):
          dummy_input = np.zeros(
              parameters["input_shape"],
              dtype=MAP_TF_TO_NUMPY_TYPE[parameters["dtype"]],
          )
          return [dummy_input], sess.run(
              outputs, feed_dict={inputs[0]: dummy_input}
          )
  
      make_zip_of_tests(
          options, test_parameters, build_graph, build_inputs
      )
  
imports: import numpy
  import tensorflow
  from tensorflow.lite.testing.zip_test_utils import create_tensor_data
  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_constant_tests(options) and returns: inputs,  outputs, list,  sess