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","."]
code: def derive_sample_params(self, global_state):
      return self._SampleParams(
          global_state.l1_norm_bound,
          global_state.l2_norm_bound,
          global_state.local_stddev,
      )
  
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 3 for calling the DistributedSkellamSumQuery obj's underlying member method code with example usage: obj.derive_sample_params(global_state) and returns: self