code: def test_group_aggregate_without_keys(self):
      t = self.t_env.from_elements(
          [
              (1, 2, 3),
              (3, 2, 3),
              (2, 1, 3),
              (1, 5, 4),
              (1, 8, 6),
              (2, 3, 4),
          ],
          DataTypes.ROW(
              [
                  DataTypes.FIELD("a", DataTypes.TINYINT()),
                  DataTypes.FIELD("b", DataTypes.SMALLINT()),
                  DataTypes.FIELD("c", DataTypes.INT()),
              ]
          ),
      )
  
      sink_table = generate_random_table_name()
      sink_table_ddl = f"""
              CREATE TABLE {sink_table}(a INT) WITH ('connector'='test-sink')
          """
      self.t_env.execute_sql(sink_table_ddl)
      min_add = udaf(
          lambda a, b, c: a.min() + b.min() + c.min(),
          result_type=DataTypes.INT(),
          func_type="pandas",
      )
      t.select(min_add(t.a, t.b, t.c)).execute_insert(sink_table).wait()
      actual = source_sink_utils.results()
      self.assert_equals(actual, ["+I[5]"])
  
imports: import uuid
  from pyflink.table.expressions import col, call, lit, row_interval
  from pyflink.table.types import DataTypes
  from pyflink.table.udf import udaf, udf, AggregateFunction
  from pyflink.testing import source_sink_utils
  from pyflink.testing.test_case_utils import PyFlinkBatchTableTestCase, PyFlinkStreamTableTestCase
label_desc: Use image node_id 4 for calling the BatchPandasUDAFITTests obj's underlying member method code with example usage: obj.test_group_aggregate_without_keys() without return types