code: def test_single_column_multidim_nested_types(self):
      data = [
          (
              [
                  "test",
                  [
                      [
                          "foo",
                          123456,
                          [
                              [["test"], 3432546, 7657658766],
                              [["fake"], 656756765, 324324324324],
                          ],
                      ]
                  ],
                  ["test2", 43, 765765765],
                  None,
                  None,
              ],
          )
      ]
      cursor_descr = [("metadata",)]
      results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
      self.assertEqual(results.columns[0]["type"], "STRING")
      self.assertEqual(
          results.columns[0]["type_generic"], GenericDataType.STRING
      )
      df = results.to_pandas_df()
      self.assertEqual(
          df_to_records(df),
          [
              {
                  "metadata": '["test", [["foo", 123456, [[["test"], 3432546, 7657658766], [["fake"], 656756765, 324324324324]]]], ["test2", 43, 765765765], null, null]'
              }
          ],
      )
  
imports: from datetime import datetime
  import tests.integration_tests.test_app
  from superset.dataframe import df_to_records
  from superset.db_engine_specs import BaseEngineSpec
  from superset.result_set import dedup, SupersetResultSet
  from superset.utils.core import GenericDataType
  from .base_tests import SupersetTestCase
label_desc: Use image node_id 11 for calling the TestSupersetResultSet obj's underlying member method code with example usage: obj.test_single_column_multidim_nested_types() without return types