code: def setUpClass(cls):
      super(PandasConversionTestBase, cls).setUpClass()
      cls.data = [
          (
              1,
              1,
              1,
              1,
              True,
              1.1,
              1.2,
              "hello",
              bytearray(b"aaa"),
              decimal.Decimal("1000000000000000000.01"),
              datetime.date(2014, 9, 13),
              datetime.time(hour=1, minute=0, second=1),
              datetime.datetime(1970, 1, 1, 0, 0, 0, 123000),
              ["hello", "中文"],
              Row(
                  a=1,
                  b="hello",
                  c=datetime.datetime(1970, 1, 1, 0, 0, 0, 123000),
                  d=[1, 2],
              ),
          ),
          (
              1,
              2,
              2,
              2,
              False,
              2.1,
              2.2,
              "world",
              bytearray(b"bbb"),
              decimal.Decimal("1000000000000000000.02"),
              datetime.date(2014, 9, 13),
              datetime.time(hour=1, minute=0, second=1),
              datetime.datetime(1970, 1, 1, 0, 0, 0, 123000),
              ["hello", "中文"],
              Row(
                  a=1,
                  b="hello",
                  c=datetime.datetime(1970, 1, 1, 0, 0, 0, 123000),
                  d=[1, 2],
              ),
          ),
      ]
      cls.data_type = DataTypes.ROW(
          [
              DataTypes.FIELD("f1", DataTypes.TINYINT()),
              DataTypes.FIELD("f2", DataTypes.SMALLINT()),
              DataTypes.FIELD("f3", DataTypes.INT()),
              DataTypes.FIELD("f4", DataTypes.BIGINT()),
              DataTypes.FIELD("f5", DataTypes.BOOLEAN()),
              DataTypes.FIELD("f6", DataTypes.FLOAT()),
              DataTypes.FIELD("f7", DataTypes.DOUBLE()),
              DataTypes.FIELD("f8", DataTypes.STRING()),
              DataTypes.FIELD("f9", DataTypes.BYTES()),
              DataTypes.FIELD("f10", DataTypes.DECIMAL(38, 18)),
              DataTypes.FIELD("f11", DataTypes.DATE()),
              DataTypes.FIELD("f12", DataTypes.TIME()),
              DataTypes.FIELD("f13", DataTypes.TIMESTAMP(3)),
              DataTypes.FIELD(
                  "f14", DataTypes.ARRAY(DataTypes.STRING())
              ),
              DataTypes.FIELD(
                  "f15",
                  DataTypes.ROW(
                      [
                          DataTypes.FIELD("a", DataTypes.INT()),
                          DataTypes.FIELD("b", DataTypes.STRING()),
                          DataTypes.FIELD("c", DataTypes.TIMESTAMP(3)),
                          DataTypes.FIELD(
                              "d", DataTypes.ARRAY(DataTypes.INT())
                          ),
                      ]
                  ),
              ),
          ],
          False,
      )
      cls.pdf = cls.create_pandas_data_frame()
  
imports: import datetime
  import decimal
  from pandas.testing import assert_frame_equal
  from pyflink.common import Row
  from pyflink.table.types import DataTypes
  from pyflink.testing import source_sink_utils
  from pyflink.testing.test_case_utils import PyFlinkBatchTableTestCase, PyFlinkStreamTableTestCase
label_desc: Use image node_id 1 for calling the PandasConversionTestBase obj's underlying member method code with example usage: obj.setUpClass(cls) without return types