code: def test_predict_path(shadow_dec_tree, x_dataset_classifier):
      def get_node_ids(nodes):
          return [node.id for node in nodes]
  
      leaf_pred_path_0 = shadow_dec_tree.predict_path(
          x_dataset_classifier.iloc[0]
      )
      assert get_node_ids(leaf_pred_path_0) == [0, 8, 9, 11]
  
      leaf_pred_path_2 = shadow_dec_tree.predict_path(
          x_dataset_classifier.iloc[2]
      )
      assert get_node_ids(leaf_pred_path_2) == [0, 1, 5, 6]
  
      leaf_pred_path_6 = shadow_dec_tree.predict_path(
          x_dataset_classifier.iloc[6]
      )
      assert get_node_ids(leaf_pred_path_6) == [0, 8, 12, 14]
  
      leaf_pred_path_9 = shadow_dec_tree.predict_path(
          x_dataset_classifier.iloc[9]
      )
      assert get_node_ids(leaf_pred_path_9) == [0, 1, 2, 4]
  
      leaf_pred_path_7 = shadow_dec_tree.predict_path(
          x_dataset_classifier.iloc[7]
      )
      assert get_node_ids(leaf_pred_path_7) == [0, 8, 9, 10]
  
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 25 for calling a global function with example usage: test_predict_path(shadow_dec_tree, x_dataset_classifier) and returns: unknown