How to use the pymapd._pandas_loaders.build_row_desc function in pymapd

data = pd.DataFrame({
            "boolean_": [True, False],
            "smallint_": np.array([0, 1], dtype=np.int16),
            "int_": np.array([0, 1], dtype=np.int32),
            "bigint_": np.array([0, 1], dtype=np.int64),
            "float_": np.array([0, 1], dtype=np.float32),
            "double_": np.array([0, 1], dtype=np.float64),
            "varchar_": ["a", "b"],
            "text_": ['a', 'b'],
            "time_": [datetime.time(0, 11, 59), datetime.time(13)],
            "timestamp_": [pd.Timestamp("2016"), pd.Timestamp("2017")],
            "date_": [datetime.date(2016, 1, 1), datetime.date(2017, 1, 1)],
        }, columns=['boolean_', 'smallint_', 'int_', 'bigint_', 'float_',
                    'double_', 'varchar_', 'text_', 'time_', 'timestamp_',
                    'date_'])
        result = _pandas_loaders.build_row_desc(data)
        expected = [
            TColumnType(col_name='boolean_',
                        col_type=TTypeInfo(type=10),
                        is_reserved_keyword=None),
            TColumnType(col_name='smallint_',
                        col_type=TTypeInfo(type=0),
                        is_reserved_keyword=None),
            TColumnType(col_name='int_',
                        col_type=TTypeInfo(type=1),
                        is_reserved_keyword=None),
            TColumnType(col_name='bigint_',
                        col_type=TTypeInfo(type=2)),
            TColumnType(col_name='float_',
                        col_type=TTypeInfo(type=3)),
            TColumnType(col_name='double_',
                        col_type=TTypeInfo(type=5)),

def test_create_non_pandas_raises(self):
        with pytest.raises(TypeError) as m:
            _pandas_loaders.build_row_desc([(1, 'a'), (2, 'b')])

        assert m.match('is not supported for type ')

TColumnType(col_name='varchar_',
                        col_type=TTypeInfo(type=6, encoding=4)),
            TColumnType(col_name='text_',
                        col_type=TTypeInfo(type=6, encoding=4)),
            TColumnType(col_name='time_',
                        col_type=TTypeInfo(type=7)),
            TColumnType(col_name='timestamp_',
                        col_type=TTypeInfo(type=8)),
            TColumnType(col_name='date_',
                        col_type=TTypeInfo(type=9))
        ]

        assert result == expected

        data.index.name = 'idx'
        result = _pandas_loaders.build_row_desc(data, preserve_index=True)
        expected.insert(0, TColumnType(col_name='idx',
                                       col_type=TTypeInfo(type=2)))

        assert result == expected

def create_table(self, table_name, data, preserve_index=False):
        """Create a table from a pandas.DataFrame

        Parameters
        ----------
        table_name: str
        data: DataFrame
        preserve_index: bool, default False
            Whether to create a column in the table for the DataFrame index
        """

        row_desc = build_row_desc(data, preserve_index=preserve_index)
        self._client.create_table(self._session, table_name, row_desc,
                                  TFileType.DELIMITED, TCreateParams(False))