code: def test_gaussian_sum_merge(self):
      records1 = [tf.constant([2.0, 0.0]), tf.constant([-1.0, 1.0])]
      records2 = [tf.constant([3.0, 5.0]), tf.constant([-1.0, 4.0])]
  
      def get_sample_state(records):
          query = gaussian_query.GaussianSumQuery(
              l2_norm_clip=10.0, stddev=1.0
          )
          global_state = query.initial_global_state()
          params = query.derive_sample_params(global_state)
          sample_state = query.initial_sample_state(records[0])
          for record in records:
              sample_state = query.accumulate_record(
                  params, sample_state, record
              )
          return sample_state
  
      sample_state_1 = get_sample_state(records1)
      sample_state_2 = get_sample_state(records2)
  
      merged = gaussian_query.GaussianSumQuery(
          10.0, 1.0
      ).merge_sample_states(sample_state_1, sample_state_2)
  
      expected = [3.0, 10.0]
      self.assertAllClose(merged, expected)
  
file_path: privacy/tensorflow_privacy/privacy/dp_query/gaussian_query_test.py
imports: from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_privacy.privacy.dp_query import gaussian_query
  from tensorflow_privacy.privacy.dp_query import test_utils
label_desc: Use image node_id 5 for calling the GaussianQueryTest obj's underlying member method code with example usage: obj.test_gaussian_sum_merge() and returns: sample_state