code: def test_predict(shadow_dec_tree, x_dataset_classifier):
      leaf_pred_0 = shadow_dec_tree.predict(
          x_dataset_classifier.iloc[0]
      )
      assert leaf_pred_0 == 0
  
      leaf_pred_2 = shadow_dec_tree.predict(
          x_dataset_classifier.iloc[2]
      )
      assert leaf_pred_2 == 1
  
      leaf_pred_6 = shadow_dec_tree.predict(
          x_dataset_classifier.iloc[6]
      )
      assert leaf_pred_6 == 0
  
      leaf_pred_9 = shadow_dec_tree.predict(
          x_dataset_classifier.iloc[9]
      )
      assert leaf_pred_9 == 1
  
      leaf_pred_7 = shadow_dec_tree.predict(
          x_dataset_classifier.iloc[7]
      )
      assert leaf_pred_7 == 1
  
imports: import joblib
  import numpy
  import pytest
  from sklearn.tree import DecisionTreeRegressor, DecisionTreeClassifier
  from dtreeviz.models.sklearn_decision_trees import ShadowSKDTree
label_desc: Use image node_id 24 for calling a global function with example usage: test_predict(shadow_dec_tree, x_dataset_classifier) without return types