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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def ParseFileObject(self, parser_mediator, file_object):
 """Parses a CUPS IPP file-like object. Args: parser_mediator (ParserMediator):
 mediates interactions between parsers and other components, such as storage and dfvfs. file_object (dfvfs.FileIO):
 file-like object. Raises: UnableToParseFile: when the file cannot be parsed. """

    self._last_charset_attribute = 'ascii'

    self._ParseHeader(parser_mediator, file_object)

    data_dict = {}
    time_dict = {}

    try:
      for name, value in self._ParseAttributesGroup(file_object):
        name = self._ATTRIBUTE_NAME_TRANSLATION.get(name, name)

        if name in self._DATE_TIME_VALUE_NAMES:
          time_dict.setdefault(name, []).append(value)
        else:
          data_dict.setdefault(name, []).append(value)

    except (ValueError, errors.ParseError) as exception:
      parser_mediator.ProduceExtractionWarning(
          'unable to parse attributes with error: {0!s}'.format(exception))
      return

    event_data = CupsIppEventData()
    event_data.application = self._GetStringValue(data_dict, 'application')
    event_data.computer_name = self._GetStringValue(data_dict, 'computer_name')
    event_data.copies = data_dict.get('copies', [0])[0]
    event_data.data_dict = data_dict
    event_data.doc_type = self._GetStringValue(data_dict, 'doc_type')
    event_data.job_id = self._GetStringValue(data_dict, 'job_id')
    event_data.job_name = self._GetStringValue(data_dict, 'job_name')
    event_data.user = self._GetStringValue(data_dict, 'user')
    event_data.owner = self._GetStringValue(data_dict, 'owner')
    event_data.printer_id = self._GetStringValue(data_dict, 'printer_id')
    event_data.uri = self._GetStringValue(data_dict, 'uri')

    for name, usage in iter(self._DATE_TIME_VALUES.items()):
      for date_time in time_dict.get(name, []):
        event = time_events.DateTimeValuesEvent(date_time, usage)
        parser_mediator.ProduceEventWithEventData(event, event_data)

    for name, usage in iter(self._POSIX_TIME_VALUES.items()):
      for time_value in time_dict.get(name, []):
        date_time = dfdatetime_posix_time.PosixTime(timestamp=time_value)
        event = time_events.DateTimeValuesEvent(date_time, usage)
        parser_mediator.ProduceEventWithEventData(event, event_data)