code: def objective_function_1(opt):
      dtc = DecisionTreeClassifier(
          min_samples_split=opt["min_samples_split"]
      )
      scores = cross_val_score(dtc, X, y, cv=10)
      time.sleep(0.1)
  
      return scores.mean()
  
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 3 for calling a global function with example usage: objective_function_1(opt) and returns: scores