code: def test_get_new_suggestions(self):
      instance = ChocolateBayesAlgorithm()
  
      new_trials = instance.get_new_suggestions(self.study.id, number=3)
      self.assertEqual(len(new_trials), 3)
  
      new_trials = instance.get_new_suggestions(self.study.id, number=3)
  
      for new_trial in new_trials:
          new_parameter_values_json = json.loads(
              new_trial.parameter_values
          )
  
          self.assertTrue(
              0.99
              >= new_parameter_values_json["l1_normalization"]
              >= 0.01
          )
          self.assertTrue(
              0.5 >= new_parameter_values_json["learning_rate"] >= 0.01
          )
          self.assertTrue(
              new_parameter_values_json["hidden2"] in [8, 16, 32, 64]
          )
          self.assertTrue(
              new_parameter_values_json["optimizer"]
              in ["sgd", "adagrad", "adam", "ftrl"]
          )
  
file_path: advisor/advisor_server/suggestion/algorithm/chocolate_bayes_test.py
imports: import json
  from django.test import TestCase
  from suggestion.models import Study
  from suggestion.algorithm.abstract_algorithm import AbstractSuggestionAlgorithm
  from suggestion.algorithm.chocolate_bayes import ChocolateBayesAlgorithm
label_desc: Use image node_id 5 for calling the ChocolateBayesAlgorithmTest obj's underlying member method code with example usage: obj.test_get_new_suggestions() without return types