code: def test_trafo_0(search_space):
      hyper = Hyperactive()
      hyper.add_search(objective_function_0, search_space, n_iter=25)
      hyper.run()
  
      for value in hyper.search_data(objective_function_0)["x1"].values:
          if value not in search_space["x1"]:
              assert False
  
file_path: Hyperactive/tests/test_hyper_gradient_trafo.py
imports: import time
  import pytest
  import numpy
  import pandas
  from hyperactive import Hyperactive
  from sklearn.datasets import load_breast_cancer
  from sklearn.model_selection import cross_val_score
  from sklearn.tree import DecisionTreeClassifier
label_desc: Use image node_id 2 for calling a global function with example usage: test_trafo_0(search_space) without return types