code: def VerifyRow(self, parser_mediator, row):
      
      try:
        time_elements_tuple = self._GetTimeElementsTuple(row['time'])
      except (TypeError, ValueError):
        return False
  
      try:
        dfdatetime_time_elements.TimeElements(
            time_elements_tuple=time_elements_tuple)
      except ValueError:
        return False
  
      try:
        my_event = int(row['event'], 10)
      except (TypeError, ValueError):
        return False
  
      if my_event < 1 or my_event > 77:
        return False
  
      try:
        category = int(row['cat'], 10)
      except (TypeError, ValueError):
        return False
  
      if category < 1 or category > 4:
        return False
  
      return True
docs: Verifies if a line of the file is in the expected format.
  
      Args:
        parser_mediator (ParserMediator): mediates interactions between parsers
            and other components, such as storage and dfvfs.
        row (dict[str, str]): fields of a single row, as specified in COLUMNS.
  
      Returns:
        bool: True if this is the correct parser, False otherwise.