class_docstr: Implements DPQuery interface for Gaussian sum queries.
  
  Clips records to bound the L2 norm, then adds Gaussian noise to the sum.
docstr: Implements `tensorflow_privacy.DPQuery.preprocess_record`.
docstr_tok: ["Implements","`","tensorflow_privacy.DPQuery.preprocess_record","`","."]
code: def preprocess_record(self, params, record):
      """Implements `tensorflow_privacy.DPQuery.preprocess_record`."""
      preprocessed_record, _ = self.preprocess_record_impl(
          params, record
      )
      return preprocessed_record
  
file_path: privacy/tensorflow_privacy/privacy/dp_query/gaussian_query.py
imports: import collections
  import dp_accounting
  import packaging.version
  import tensorflow
  from tensorflow_privacy.privacy.dp_query import dp_query
label_desc: Use image node_id 6 for calling the GaussianSumQuery obj's underlying member method code with example usage: obj.preprocess_record(params, record) and returns: preprocessed_record