code: def create_iris_data():
      (
          X_train,
          X_test,
          y_train,
          y_test,
          feature_names,
          classes,
      ) = _create_iris_data()
  
      # create duplicate index
      test_index_list = X_test.index.tolist()
      test_index_list.append(test_index_list[0])
      X_test = X_test.reindex(test_index_list)
      y_test_list = y_test.tolist()
      y_test_list.append(y_test[0])
      y_test = np.array(y_test_list)
  
      return X_train, X_test, y_train, y_test, feature_names, classes
  
imports: import json
  import random
  import ssl
  import numpy
  import pandas
  import pytest
  from dice_ml.utils import helpers
  from sklearn.model_selection import train_test_split
  from rai_test_utils.datasets.tabular import create_iris_data
  from raiutils.common.retries import retry_function
label_desc: Use image node_id 1 for calling a global function with example usage: create_iris_data() and returns: X_train,  X_test,  y_train,  y_test,  feature_names,  classes