code: def test_attributes_results_5():
      hyper = Hyperactive()
      hyper.add_search(
          objective_function,
          search_space,
          n_iter=1,
          initialize={"warm_start": [{"x1": 10}]},
      )
      hyper.run()
  
      print(
          "\n x1_results \n",
          list(hyper.search_data(objective_function)["x1"].values),
      )
  
      assert 10 in list(
          hyper.search_data(objective_function)["x1"].values
      )
  
file_path: Hyperactive/tests/test_results.py
imports: import pytest
  import numpy
  import pandas
  from hyperactive import Hyperactive
label_desc: Use image node_id 7 for calling a global function with example usage: test_attributes_results_5() without return types