code: def _anomalyScoreMovingAverage(anomalyScores,
                                 windowSize=10,
                                 verbosity=0,
                                ):
    
  
    historicalValues = []
    total = 0.0
    averagedRecordList = []    # Aggregated records
    for record in anomalyScores:
  
      # Skip (but log) records without correct number of entries
      if not isinstance(record, (list, tuple)) or len(record) != 3:
        if verbosity >= 1:
          print("Malformed record:", record)
        continue
  
      avg, historicalValues, total = (
        MovingAverage.compute(historicalValues, total, record[2], windowSize)
        )
  
      averagedRecordList.append( [record[0], record[1], avg] )
  
      if verbosity > 2:
        print("Aggregating input record:", record)
        print("Result:", [record[0], record[1], avg])
  
    return averagedRecordList, historicalValues, total
docs: Given a list of anomaly scores return a list of averaged records.
    anomalyScores is assumed to be a list of records of the form:
                  [datetime.datetime(2013, 8, 10, 23, 0), 6.0, 1.0]
  
    Each record in the returned list list contains:
        [datetime, value, averagedScore]
  
    *Note:* we only average the anomaly score.