code: def test_predictor_nested_select(self, mock_handler):
      self.set_handler(
          mock_handler, name="pg", tables={"tasks": self.task_table}
      )
  
      # --- use predictor ---
      predictor = {
          "name": "task_model",
          "predict": "p",
          "dtypes": {
              "p": dtype.float,
              "a": dtype.integer,
              "b": dtype.categorical,
          },
          "predicted_value": 3.14,
      }
      self.set_predictor(predictor)
      ret = self.execute(
          """
              SELECT
                `Custom SQL Query`.`a` AS `height`,
                last(`Custom SQL Query`.`b`) AS `lengtht`
              FROM (
                 SELECT res.a, res.b
                 FROM pg.tasks as source
                 JOIN mindsdb.task_model as res
              ) `Custom SQL Query`
              group by 1
              order by `height`
              LIMIT 1
          """
      )
  
      # second column is having last value of 'b'
      assert ret.data[0][1] == "three"
  
imports: from unittest.mock import patch
  import datetime
  import tempfile
  import pytest
  import pandas
  import numpy
  from mindsdb_sql.render.sqlalchemy_render import SqlalchemyRender
  from mindsdb.api.executor.utilities.sql import query_df
  from mindsdb.api.mysql.mysql_proxy.utilities.lightwood_dtype import dtype
  from .executor_test_base import BaseExecutorMockPredictor
label_desc: Use image node_id 1 for calling the TestTableau obj's underlying member method code with example usage: obj.test_predictor_nested_select(mock_handler) without return types