code: def test_predictor_1_row(self):
      predicted_value = 3.14
      predictor = {
          "name": "task_model",
          "predict": "p",
          "dtypes": {
              "p": dtype.float,
              "a": dtype.integer,
              "b": dtype.categorical,
          },
          "predicted_value": predicted_value,
      }
      self.set_predictor(predictor)
  
      ret = self.execute(
          """
               select p, a from mindsdb.task_model where a = 2
          """
      )
      ret_df = self.ret_to_df(ret)
      assert ret_df["p"][0] == predicted_value
  
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 4 for calling the Test obj's underlying member method code with example usage: obj.test_predictor_1_row() without return types