class_docstr: Implements DPQuery interface for Skellam average queries.
  
  Checks norm bounds and adds Skellam noise to each vector, sums them up, casts
  to float32 and normalizes using the truediv operation.
class_docstr_tok: ["Implements","DPQuery","interface","for","Skellam","average","queries",".","Checks","norm","bounds","and","adds","Skellam","noise","to","each","vector",",","sums","them","up",",","casts","to","float32","and","normalizes","using","the","truediv","operation","."]
docstr: Normalize accumulated sum with floordiv.
docstr_tok: ["Normalize","accumulated","sum","with","floordiv","."]
code: def get_noised_result(self, sample_state, global_state):
      """Normalize accumulated sum with floordiv."""
      (
          noised_sum,
          new_sum_global_state,
          event,
      ) = self._numerator.get_noised_result(
          sample_state, global_state.numerator_state
      )
  
      def normalize(v):
          return tf.math.truediv(
              tf.cast(v, tf.float32), global_state.denominator
          )
  
      return (
          tf.nest.map_structure(normalize, noised_sum),
          self._GlobalState(
              new_sum_global_state, global_state.denominator
          ),
          event,
      )
  
file_path: privacy/tensorflow_privacy/privacy/dp_query/distributed_skellam_query.py
imports: import collections
  import dp_accounting
  import tensorflow
  from tensorflow_privacy.privacy.dp_query import dp_query
  from tensorflow_privacy.privacy.dp_query import normalized_query
label_desc: Use image node_id 2 for calling the DistributedSkellamAverageQuery obj's underlying member method code with example usage: obj.get_noised_result(sample_state, global_state) and returns: tf,  self,  event, tf