code: def _MaybePurgeOrphanedData(self, event):
      
      if not self.purge_orphaned_data:
        return
      ## Check if the event happened after a crash, and purge expired tags.
      if self.file_version and self.file_version >= 2:
        ## If the file_version is recent enough, use the SessionLog enum
        ## to check for restarts.
        self._CheckForRestartAndMaybePurge(event)
      else:
        ## If there is no file version, default to old logic of checking for
        ## out of order steps.
        self._CheckForOutOfOrderStepAndMaybePurge(event)
      # After checking, update the most recent summary step and wall time.
      if event.HasField('summary'):
        self.most_recent_step = event.step
        self.most_recent_wall_time = event.wall_time
docs: Maybe purge orphaned data due to a TensorFlow crash.
  
      When TensorFlow crashes at step T+O and restarts at step T, any events
      written after step T are now "orphaned" and will be at best misleading if
      they are included in TensorBoard.
  
      This logic attempts to determine if there is orphaned data, and purge it
      if it is found.
  
      Args:
        event: The event to use as a reference, to determine if a purge is needed.