code: def test_metalearning_suggest(self):
      ret = self.meta_optimizer.metalearning_suggest([])
      self.assertIsInstance(ret, Configuration)
      self.assertEqual(
          "gradient_boosting", ret["classifier:__choice__"]
      )
  
      ret2 = self.meta_optimizer.metalearning_suggest([ret])
      self.assertIsInstance(ret2, Configuration)
      self.assertEqual("adaboost", ret2["classifier:__choice__"])
  
file_path: auto-sklearn/test/test_metalearning/pyMetaLearn/test_metalearner.py
imports: import logging
  import os
  import numpy
  import pandas
  from ConfigSpace.configuration_space import Configuration
  import autosklearn.metalearning.optimizers.metalearn_optimizer.metalearner
  import autosklearn.pipeline.classification
  from autosklearn.metalearning.metalearning.meta_base import MetaBase
  import unittest
label_desc: Use image node_id 5 for calling the MetaLearnerTest obj's underlying member method code with example usage: obj.test_metalearning_suggest() without return types