code: def make_range_tests(options):
      """Make a set of tests to do range."""
  
      test_parameters = [
          {
              "dtype": [tf.int32, tf.float32, tf.int64],
              "offset": [10, 100, 1000, 0],
              "delta": [1, 2, 3, 4, -1, -2, -3, -4],
          }
      ]
  
      def build_graph(parameters):
          """Build the range op testing graph."""
          input_tensor = tf.compat.v1.placeholder(
              dtype=parameters["dtype"], name=("start"), shape=[]
          )
          if parameters["delta"] < 0:
              offset = parameters["offset"] * -1
          else:
              offset = parameters["offset"]
          delta = parameters["delta"]
          limit_tensor = input_tensor + offset
          delta_tensor = tf.constant(delta, dtype=parameters["dtype"])
          out = tf.range(input_tensor, limit_tensor, delta_tensor)
          return [input_tensor], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input_value = create_scalar_data(parameters["dtype"])
          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 tensorflow
  from tensorflow.lite.testing.zip_test_utils import create_scalar_data
  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_range_tests(options) and returns: list,  list, list,  sess