class_docstr: Accumulator for privacy id count aggregation.
  
  Should be constructed per (privacy_key, privacy_id)
  
  Attributes:
    count: The count of privacy ids in input values.
docstr: Computes and returns the result of aggregation.
  
  Returns:
    Privacy id count of the values.
code: def compute_metrics(self) -> float:
      """Computes and returns the result of aggregation.
  
      Returns:
        Privacy id count of the values.
      """
      return self.count
  
imports: import abc
  from typing import Any, List, Sequence
  import pipeline_dp
label_desc: Use image node_id 4 for calling the PrivacyIdCountAccumulator obj's underlying member method code with example usage: obj.compute_metrics() and returns: self