code: def test_sum_no_clip_no_noise(self):
      record1 = tf.constant([2.0, 0.0])
      record2 = tf.constant([-1.0, 1.0])
  
      query = quantile_adaptive_clip_tree_query.QAdaClipTreeResSumQuery(
          initial_l2_norm_clip=10.0,
          noise_multiplier=0.0,
          record_specs=tf.TensorSpec([2]),
          target_unclipped_quantile=1.0,
          learning_rate=0.0,
          clipped_count_stddev=0.0,
          expected_num_records=2.0,
      )
      query_result, _ = test_utils.run_query(query, [record1, record2])
      result = query_result.numpy()
      expected = [1.0, 1.0]
      self.assertAllClose(result, expected)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_privacy.privacy.dp_query import quantile_adaptive_clip_tree_query
  from tensorflow_privacy.privacy.dp_query import test_utils
label_desc: Use image node_id 1 for calling the QAdaClipTreeResSumQueryTest obj's underlying member method code with example usage: obj.test_sum_no_clip_no_noise() without return types