human
Solve the following python programming problem given the following code:
@ utils.Synchronized 
def Compact(self, callback = None, timestamp = None) : 
    "Compacts versioned attributes into the collection stream.

    Versioned attributes come from the datastore sorted by the timestamp
    in the decreasing order. This is the opposite of what we want in
    the collection (as items in the collection should be in chronological
    order).

    Compact's implementation can handle very large collections that can't
    be reversed in memory. It reads them in batches, reverses every batch
    individually, and then reads batches back in the reversed order and
    write their contents to the collection stream.

    Args:
      callback: An optional function without arguments that gets called
                periodically while processing is done. Useful in flows
                that have to heartbeat.
      timestamp: Only items added before this timestamp will be compacted.

    Raises:
      RuntimeError: if problems are encountered when reading back temporary
                    saved data.

    Returns:
      Number of compacted results.
    " 
    if (not self.locked) : 
        raise aff4.LockError ('Collection must be locked before compaction.') 
compacted_count = 0 
    batches_urns = [] 
    current_batch = [] 
    freeze_timestamp = (timestamp or rdfvalue.RDFDatetime ().Now ()) 
    def UpdateIndex() : 
        seek_index = self.Get (self.Schema.SEEK_INDEX, SeekIndex ()) 
        prev_index_pair = (seek_index.checkpoints and seek_index.checkpoints [(- 1)]) 
        if ((not prev_index_pair) or ((self.size - prev_index_pair.index_offset) >= self.INDEX_INTERVAL)) : 
            new_index_pair = SeekIndexPair (index_offset = self.size, byte_offset = self.fd.Tell ()) 
            seek_index.checkpoints.Append (new_index_pair) 
            self.Set (self.Schema.SEEK_INDEX, seek_index) 
def DeleteVersionedDataAndFlush() : 
        'Removes versioned attributes and flushes the stream.' 
        data_store.DB.DeleteAttributes (self.urn, [self.Schema.DATA.predicate], end =...

    
    

    Fix the buggy line: with aff4.FACTORY.Create (compacted_count, 'AFF4Image', mode = 'w', token = self.token) as batch_stream :
assistant
#Here is Python program to fix the buggy line: with aff4.

with aff4.FACTORY.Create (batch_urn, 'AFF4Image', mode = 'w', token = self.token) as batch_stream :