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.
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docstr: Initializes the DistributedSkellamSumQuery.
  
  Args:
    l1_norm_bound: The l1 norm bound to verify for each record.
    l2_norm_bound: The l2 norm bound to verify for each record.
    local_stddev: The standard deviation of the Skellam distribution.
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code: def __init__(self, l1_norm_bound, l2_norm_bound, local_stddev):
      """Initializes the DistributedSkellamSumQuery.
  
      Args:
        l1_norm_bound: The l1 norm bound to verify for each record.
        l2_norm_bound: The l2 norm bound to verify for each record.
        local_stddev: The standard deviation of the Skellam distribution.
      """
      self._l1_norm_bound = l1_norm_bound
      self._l2_norm_bound = l2_norm_bound
      self._local_stddev = 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 1 to create a new DistributedSkellamSumQuery object from inherited base classes: dp_query with example: obj = DistributedSkellamSumQuery(l1_norm_bound, l2_norm_bound, local_stddev)