code: def test_empty_input_static(self):
      # Tests that the encoding works when the input shape is [0].
      x = []
      x = tf.convert_to_tensor(x, dtype=tf.int32)
      assert x.shape.as_list() == [0]
  
      stage = self.default_encoding_stage()
      encode_params, decode_params = stage.get_params()
      encoded_x, decoded_x = self.encode_decode_x(
          stage, x, encode_params, decode_params
      )
  
      test_data = self.evaluate_test_data(
          test_utils.TestData(x, encoded_x, decoded_x)
      )
      self.common_asserts_for_test_data(test_data)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.stages.research import misc
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.testing import test_utils
label_desc: Use image node_id 6 for calling the DifferenceBetweenIntegersEncodingStageTest obj's underlying member method code with example usage: obj.test_empty_input_static() without return types