code: def prepare_data(random_state=default_random_state):
      X, y = load_iris(return_X_y=True)
      return train_test_split(X, y, random_state=random_state)
  
imports: import warnings
  from sklearn.datasets import load_iris
  from sklearn.model_selection import train_test_split
  from sklearn import preprocessing
label_desc: Use image node_id 1 for calling a global function with example usage: prepare_data(random_state) and returns: train_test_split