code: def classifier_explainer_with_external_data_methods(
      fitted_rf_classifier_model,
  ):
      _, _, X_test, y_test = titanic_survive()
      X_test.reset_index(drop=True, inplace=True)
      X_test.index = X_test.index.astype(str)
  
      X_test1, y_test1 = X_test.iloc[:100], y_test.iloc[:100]
      X_test2, y_test2 = X_test.iloc[100:], y_test.iloc[100:]
  
      explainer = ClassifierExplainer(
          fitted_rf_classifier_model,
          X_test1,
          y_test1,
          cats=["Sex", "Deck"],
      )
  
      def index_exists_func(self, index):
          assert self.is_classifier
          return index in X_test2.index
  
      def index_list_func(self):
          assert self.is_classifier
          # only returns first 50 indexes
          return list(X_test2.index[:50])
  
      def y_func(self, index):
          assert self.is_classifier
          idx = X_test2.index.get_loc(index)
          return y_test2.iloc[[idx]]
  
      def X_func(self, index):
          assert self.is_classifier
          idx = X_test2.index.get_loc(index)
          return X_test2.iloc[[idx]]
  
      explainer.set_index_exists_func(index_exists_func)
      explainer.set_index_list_func(index_list_func)
      explainer.set_X_row_func(X_func)
      explainer.set_y_func(y_func)
      return explainer
  
imports: import pytest
  import pandas
  from explainerdashboard.explainers import ClassifierExplainer, RegressionExplainer
  from explainerdashboard.datasets import titanic_survive, titanic_fare
label_desc: Use image node_id 2 for calling a global function with example usage: classifier_explainer_with_external_data_methods(fitted_rf_classifier_model) and returns: explainer, unknown, list, y_test2, X_test2