code: def test_memory_timeSave_1():
      data = load_breast_cancer()
      X, y = data.data, data.target
  
      def objective_function(opt):
          time.sleep(0.001)
          return 1
  
      search_space = {
          "x1": list(np.arange(1, 30)),
      }
  
      results = pd.DataFrame(np.arange(1, 30), columns=["x1"])
      results["score"] = 0
  
      c_time1 = time.perf_counter()
      hyper = Hyperactive()
      hyper.add_search(
          objective_function,
          search_space,
          n_iter=1000,
          memory_warm_start=results,
      )
      hyper.run()
      diff_time1 = time.perf_counter() - c_time1
  
      print("diff_time1", diff_time1)
  
      assert diff_time1 < 1
  
file_path: Hyperactive/tests/_local_test_timings/_test_memory.py
imports: import time
  import numpy
  import pandas
  from sklearn.datasets import load_breast_cancer
  from sklearn.model_selection import cross_val_score
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.ensemble import GradientBoostingClassifier
  from hyperactive import Hyperactive
label_desc: Use image node_id 3 for calling a global function with example usage: test_memory_timeSave_1() and returns: int