code: def test_predictor(self):
      from mindsdb.utilities.exception import (
          EntityExistsError,
          EntityNotExistsError,
      )
  
      # create a predictor from dummy ml handler
      sql = """
              CREATE MODEL test_predictor
              PREDICT target
              USING
                  engine = 'dummy_ml'
          """
      self.execute(sql)
  
      # create the same predictor without if not exists throws an error
      with pytest.raises(EntityExistsError):
          self.execute(sql)
  
      # create the same predictor with if not exists doesn't throw an error
      self.execute(
          """
              CREATE MODEL IF NOT EXISTS test_predictor
              PREDICT target
              USING
                  engine = 'dummy_ml'
          """
      )
  
      # create a predictor with if not exists should indeed create a new predictor
      self.execute(
          """
              CREATE MODEL IF NOT EXISTS test_predictor2
              PREDICT target
              USING
                  engine = 'dummy_ml'
          """
      )
  
      # check that the predictor was indeed created
      ret = self.execute(
          """
              SHOW MODELS
              WHERE name = 'test_predictor2'
          """
      )
      assert len(ret.data) == 1
  
      # drop the predictor
      self.execute("DROP MODEL test_predictor2")
  
      # check that the predictor was indeed dropped
      self.execute(
          """
              SHOW MODELS
              WHERE name = 'test_predictor2'
          """
      )
  
      # drop again without if exists should throw an error
      with pytest.raises(EntityNotExistsError):
          self.execute("DROP MODEL test_predictor2")
  
      # drop again with if exists should not throw an error
      self.execute("DROP MODEL IF EXISTS test_predictor2")
  
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 3 for calling the TestIfExistsIfNotExists obj's underlying member method code with example usage: obj.test_predictor() without return types