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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 _ParseGUIDTable( self, parser_mediator, cache, database, esedb_table, values_map, event_data_class):
 """Parses a table with a GUID as name. Args: parser_mediator (ParserMediator):
 mediates interactions between parsers and other components, such as storage and dfvfs. cache (ESEDBCache):
 cache, which contains information about the identifiers stored in the SruDbIdMapTable table. database (pyesedb.file):
 ESE database. esedb_table (pyesedb.table):
 table. values_map (dict[str, str]):
 mapping of table columns to event data attribute names. event_data_class (type):
 event data class. Raises: ValueError: if the cache, database or table value is missing. """

    if cache is None:
      raise ValueError('Missing cache value.')

    if database is None:
      raise ValueError('Missing database value.')

    if esedb_table is None:
      raise ValueError('Missing table value.')

    identifier_mappings = self._GetIdentifierMappings(
        parser_mediator, cache, database)

    for esedb_record in esedb_table.records:
      if parser_mediator.abort:
        break

      record_values = self._GetRecordValues(
          parser_mediator, esedb_table.name, esedb_record,
          value_mappings=self._GUID_TABLE_VALUE_MAPPINGS)

      event_data = event_data_class()

      for attribute_name, column_name in values_map.items():
        record_value = record_values.get(column_name, None)
        if attribute_name in ('application', 'user_identifier'):
          # Human readable versions of AppId and UserId values are stored
          # in the SruDbIdMapTable table; also referred to as identifier
          # mapping. Here we look up the numeric identifier stored in the GUID
          # table in SruDbIdMapTable.
          record_value = identifier_mappings.get(record_value, record_value)

        setattr(event_data, attribute_name, record_value)

      timestamp = record_values.get('TimeStamp')
      if timestamp:
        date_time = dfdatetime_ole_automation_date.OLEAutomationDate(
            timestamp=timestamp)
        timestamp_description = definitions.TIME_DESCRIPTION_SAMPLE
      else:
        date_time = dfdatetime_semantic_time.SemanticTime('Not set')
        timestamp_description = definitions.TIME_DESCRIPTION_NOT_A_TIME

      event = time_events.DateTimeValuesEvent(date_time, timestamp_description)
      parser_mediator.ProduceEventWithEventData(event, event_data)

      timestamp = record_values.get('ConnectStartTime')
      if timestamp:
        date_time = dfdatetime_filetime.Filetime(timestamp=timestamp)
        event = time_events.DateTimeValuesEvent(
            date_time, definitions.TIME_DESCRIPTION_FIRST_CONNECTED)
        parser_mediator.ProduceEventWithEventData(event, event_data)