code: def test_nested_query_with_noise(self):
      stddev = 2.71828
      denominator = 3.14159
  
      query1 = gaussian_query.GaussianSumQuery(
          l2_norm_clip=1.5, stddev=stddev
      )
      query2 = normalized_query.NormalizedQuery(
          gaussian_query.GaussianSumQuery(
              l2_norm_clip=0.5, stddev=stddev
          ),
          denominator=denominator,
      )
      query = nested_query.NestedSumQuery((query1, query2))
  
      record1 = (3.0, [2.0, 1.5])
      record2 = (0.0, [-1.0, -3.5])
  
      noised_averages = []
      for _ in range(1000):
          query_result, _ = test_utils.run_query(
              query, [record1, record2]
          )
          noised_averages.append(tf.nest.flatten(query_result))
  
      result_stddev = np.std(noised_averages, 0)
      avg_stddev = stddev / denominator
      expected_stddev = [stddev, avg_stddev, avg_stddev]
      self.assertArrayNear(result_stddev, expected_stddev, 0.1)
  
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 4 for calling the NestedQueryTest obj's underlying member method code with example usage: obj.test_nested_query_with_noise() without return types