<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def ParseAutofillRow( self, parser_mediator, query, row, **unused_kwargs):
 """Parses an autofill 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. """

    query_hash = hash(query)

    event_data = ChromeAutofillEventData()
    event_data.field_name = self._GetRowValue(query_hash, row, 'name')
    event_data.value = self._GetRowValue(query_hash, row, 'value')
    event_data.usage_count = self._GetRowValue(query_hash, row, 'count')
    event_data.query = query

    # Create one event for the first time an autofill entry was used
    timestamp = self._GetRowValue(query_hash, row, 'date_created')
    date_time = dfdatetime_posix_time.PosixTime(timestamp=timestamp)
    event = time_events.DateTimeValuesEvent(
        date_time, definitions.TIME_DESCRIPTION_CREATION)
    parser_mediator.ProduceEventWithEventData(event, event_data)

    # If the autofill value has been used more than once, create another
    # event for the most recent time it was used.
    if event_data.usage_count > 1:
      timestamp = self._GetRowValue(query_hash, row, 'date_last_used')
      date_time = dfdatetime_posix_time.PosixTime(timestamp=timestamp)
      event = time_events.DateTimeValuesEvent(
          date_time, definitions.TIME_DESCRIPTION_LAST_USED)
      parser_mediator.ProduceEventWithEventData(event, event_data)