code: def test_get_new_suggestions(self):
      algorithm = SkoptBayesianOptimization()
  
      new_trials = algorithm.get_new_suggestions(
          self.study.id, number=1
      )
      new_trial = new_trials[0]
      new_parameter_values_json = json.loads(new_trial.parameter_values)
  
      self.assertTrue(10 >= new_parameter_values_json["hidden1"] >= 1)
      self.assertTrue(
          0.5 >= new_parameter_values_json["learning_rate"] >= 0.01
      )
  
file_path: advisor/advisor_server/suggestion/algorithm/skopt_bayesian_optimization_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.skopt_bayesian_optimization import SkoptBayesianOptimization
label_desc: Use image node_id 4 for calling the RandomSearchAlgorithmTest obj's underlying member method code with example usage: obj.test_get_new_suggestions() without return types