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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 find(self, *_clauses, **kwargs):
 """Perform a simple search on the table. Simply pass keyword arguments as ``filter``. :: results = table.find(country='France') results = table.find(country='France', year=1980) Using ``_limit``:: # just return the first 10 rows results = table.find(country='France', _limit=10) You can sort the results by single or multiple columns. Append a minus sign to the column name for descending order:: # sort results by a column 'year' results = table.find(country='France', order_by='year') # return all rows sorted by multiple columns (descending by year) results = table.find(order_by=['country', '-year']) To perform complex queries with advanced filters or to perform aggregation, use :py:meth:`db.query() <dataset.Database.query>` instead. """

        if not self.exists:
            return iter([])

        _limit = kwargs.pop('_limit', None)
        _offset = kwargs.pop('_offset', 0)
        order_by = kwargs.pop('order_by', None)
        _streamed = kwargs.pop('_streamed', False)
        _step = kwargs.pop('_step', QUERY_STEP)
        if _step is False or _step == 0:
            _step = None

        order_by = self._args_to_order_by(order_by)
        args = self._args_to_clause(kwargs, clauses=_clauses)
        query = self.table.select(whereclause=args,
                                  limit=_limit,
                                  offset=_offset)
        if len(order_by):
            query = query.order_by(*order_by)

        conn = self.db.executable
        if _streamed:
            conn = self.db.engine.connect()
            conn = conn.execution_options(stream_results=True)

        return ResultIter(conn.execute(query),
                          row_type=self.db.row_type,
                          step=_step)