How to use the pymapd._loaders._build_input_rows function in pymapd

def test_build_input_rows_with_array(self):
        data = [(1, 'a'), (2, 'b'), (3, ['c', 'd', 'e'])]
        result = _build_input_rows(data)
        expected = [TStringRow(cols=[TStringValue(str_val='1', is_null=None),
                                     TStringValue(str_val='a', is_null=None)]),
                    TStringRow(cols=[TStringValue(str_val='2', is_null=None),
                                     TStringValue(str_val='b', is_null=None)]),
                    TStringRow(cols=[TStringValue(str_val='3', is_null=None),
                                     TStringValue(str_val='{c,d,e}',
                                                  is_null=None)])]

        assert result == expected

def test_build_input_rows(self):
        data = [(1, 'a'), (2, 'b')]
        result = _build_input_rows(data)
        expected = [TStringRow(cols=[TStringValue(str_val='1', is_null=None),
                                     TStringValue(str_val='a', is_null=None)]),
                    TStringRow(cols=[TStringValue(str_val='2', is_null=None),
                                     TStringValue(str_val='b', is_null=None)])]

        assert result == expected

table_name: str
        data: Iterable of tuples
            Each element of `data` should be a row to be inserted

        See Also
        --------
        load_table
        load_table_arrow
        load_table_columnar

        Examples
        --------
        >>> data = [(1, 'a'), (2, 'b'), (3, 'c')]
        >>> con.load_table('bar', data)
        """
        input_data = _build_input_rows(data)
        self._client.load_table(self._session, table_name, input_data)

return self.load_table_arrow(table_name, data)

        elif method == 'columnar':
            return self.load_table_columnar(table_name, data)

        elif method != 'rows':
            raise TypeError("Method must be one of {{'infer', 'arrow', "
                            "'columnar', 'rows'}}. Got {} instead"
                            .format(method))

        if isinstance(data, pd.DataFrame):
            # We need to convert a Pandas dataframe to a list of tuples before
            # loading row wise
            data = data.itertuples(index=preserve_index, name=None)

        input_data = _build_input_rows(data)
        self._client.load_table(self._session, table_name, input_data)