code: def test_nested_gaussian_average_with_clip_no_noise(self):
      query1 = normalized_query.NormalizedQuery(
          gaussian_query.GaussianSumQuery(l2_norm_clip=4.0, stddev=0.0),
          denominator=5.0,
      )
      query2 = normalized_query.NormalizedQuery(
          gaussian_query.GaussianSumQuery(l2_norm_clip=5.0, stddev=0.0),
          denominator=5.0,
      )
  
      query = nested_query.NestedSumQuery([query1, query2])
  
      record1 = [1.0, [12.0, 9.0]]  # Clipped to [1.0, [4.0, 3.0]]
      record2 = [5.0, [1.0, 2.0]]  # Clipped to [4.0, [1.0, 2.0]]
  
      query_result, _ = test_utils.run_query(query, [record1, record2])
      expected = [1.0, [1.0, 1.0]]
      self.assertAllClose(query_result, expected)
  
file_path: privacy/tensorflow_privacy/privacy/dp_query/nested_query_test.py
imports: import collections
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_privacy.privacy.dp_query import dp_query
  from tensorflow_privacy.privacy.dp_query import gaussian_query
  from tensorflow_privacy.privacy.dp_query import nested_query
  from tensorflow_privacy.privacy.dp_query import normalized_query
  from tensorflow_privacy.privacy.dp_query import test_utils
label_desc: Use image node_id 2 for calling the NestedQueryTest obj's underlying member method code with example usage: obj.test_nested_gaussian_average_with_clip_no_noise() without return types