code: def test_commutes_with_sum_given_min_max(self):
      stage = stages_impl.UniformQuantizationEncodingStage(
          bits=8, min_max=[-1.0, 1.0]
      )
      input_values = self.evaluate(
          [tf.random.normal([50]) for _ in range(3)]
      )
      (
          server_test_data,
          decode_params,
      ) = self.run_many_to_one_encode_decode(stage, input_values)
      self.assert_commutes_with_sum(
          server_test_data,
          stage,
          decode_params,
          shape=input_values[0].shape,
      )
  
imports: import itertools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.stages import stages_impl
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.testing import test_utils
label_desc: Use image node_id 11 for calling the UniformQuantizationEncodingStageStageTest obj's underlying member method code with example usage: obj.test_commutes_with_sum_given_min_max() without return types