class_docstr: Implements DPQuery interface for discrete distributed sum queries.
  
  This implementation is for the distributed queries where the Skellam noise
  is applied locally to a discrete vector that matches the norm bound.
class_docstr_tok: ["Implements","DPQuery","interface","for","discrete","distributed","sum","queries",".","This","implementation","is","for","the","distributed","queries","where","the","Skellam","noise","is","applied","locally","to","a","discrete","vector","that","matches","the","norm","bound","."]
docstr: The noise was already added locally, therefore just continue.
docstr_tok: ["The","noise","was","already","added","locally",",","therefore","just","continue","."]
code: def get_noised_result(self, sample_state, global_state):
      """The noise was already added locally, therefore just continue."""
      event = dp_accounting.UnsupportedDpEvent()
      return sample_state, global_state, 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 6 for calling the DistributedSkellamSumQuery obj's underlying member method code with example usage: obj.get_noised_result(sample_state, global_state) and returns: sample_state,  global_state,  event