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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 ParseCloudEntryRow( self, parser_mediator, query, row, cache=None, database=None, **unused_kwargs):
 """Parses a cloud entry row. Args: parser_mediator (ParserMediator):
 mediates interactions between parsers and other components, such as storage and dfvfs. query (str):
 query that created the row. row (sqlite3.Row):
 row. cache (SQLiteCache):
 cache. database (SQLiteDatabase):
 database. """

    query_hash = hash(query)

    parent_resource_id = self._GetRowValue(
        query_hash, row, 'parent_resource_id')
    filename = self._GetRowValue(query_hash, row, 'filename')

    cloud_path = self.GetCloudPath(parent_resource_id, cache, database)
    cloud_filename = '{0:s}{1:s}'.format(cloud_path, filename)

    event_data = GoogleDriveSnapshotCloudEntryEventData()
    event_data.document_type = self._GetRowValue(query_hash, row, 'doc_type')
    event_data.path = cloud_filename
    event_data.query = query
    event_data.shared = bool(self._GetRowValue(query_hash, row, 'shared'))
    event_data.size = self._GetRowValue(query_hash, row, 'size')
    event_data.url = self._GetRowValue(query_hash, row, 'url')

    timestamp = self._GetRowValue(query_hash, row, 'modified')
    date_time = dfdatetime_posix_time.PosixTime(timestamp=timestamp)
    event = time_events.DateTimeValuesEvent(
        date_time, definitions.TIME_DESCRIPTION_MODIFICATION)
    parser_mediator.ProduceEventWithEventData(event, event_data)

    timestamp = self._GetRowValue(query_hash, row, 'created')
    if timestamp:
      date_time = dfdatetime_posix_time.PosixTime(timestamp=timestamp)
      event = time_events.DateTimeValuesEvent(
          date_time, definitions.TIME_DESCRIPTION_CREATION)
      parser_mediator.ProduceEventWithEventData(event, event_data)