code: def test_raises_with_non_scalar_record(self):
      query = quantile_estimator_query.NoPrivacyQuantileEstimatorQuery(
          initial_estimate=1.0, target_quantile=0.5, learning_rate=1.0
      )
  
      with self.assertRaisesRegex(ValueError, "scalar"):
          query.accumulate_record(None, None, [1.0, 2.0])
  
file_path: privacy/tensorflow_privacy/privacy/dp_query/quantile_estimator_query_test.py
imports: from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_privacy.privacy.dp_query import quantile_estimator_query
  from tensorflow_privacy.privacy.dp_query import test_utils
label_desc: Use image node_id 7 for calling the QuantileEstimatorQueryTest obj's underlying member method code with example usage: obj.test_raises_with_non_scalar_record() without return types