code: def GetEntries(self, parser_mediator, data=None, **unused_kwargs):
      
      seeding_time = data.get('seeding-time-seconds', None)
  
      event_data = TransmissionEventData()
      event_data.destination = data.get('destination', None)
      # Convert seconds to minutes.
      event_data.seedtime, _ = divmod(seeding_time, 60)
  
      # Create timeline events based on extracted values.
      timestamp = data.get('added-date', None)
      if timestamp:
        date_time = dfdatetime_posix_time.PosixTime(timestamp=timestamp)
        event = time_events.DateTimeValuesEvent(
            date_time, definitions.TIME_DESCRIPTION_ADDED)
        parser_mediator.ProduceEventWithEventData(event, event_data)
  
      timestamp = data.get('done-date', None)
      if timestamp:
        date_time = dfdatetime_posix_time.PosixTime(timestamp=timestamp)
        event = time_events.DateTimeValuesEvent(
            date_time, definitions.TIME_DESCRIPTION_FILE_DOWNLOADED)
        parser_mediator.ProduceEventWithEventData(event, event_data)
  
      timestamp = data.get('activity-date', None)
      if timestamp:
        date_time = dfdatetime_posix_time.PosixTime(timestamp=timestamp)
        event = time_events.DateTimeValuesEvent(
            date_time, definitions.TIME_DESCRIPTION_LAST_ACCESS)
        parser_mediator.ProduceEventWithEventData(event, event_data)
docs: Extract data from Transmission's resume folder files.
  
      This is the main parsing engine for the parser. It determines if
      the selected file is the proper file to parse and extracts current
      running torrents.
  
      Transmission stores an individual Bencoded file for each active download
      in a folder named resume under the user's application data folder.
  
      Args:
        parser_mediator (ParserMediator): mediates interactions between parsers
            and other components, such as storage and dfvfs.
        data (Optional[dict[str, object]]): bencode data values.