code: def means_difference(
      randomized_predictions: np.ndarray, baseline_values: np.ndarray
  ) -> np.ndarray:
      return (
          np.mean(randomized_predictions).squeeze()
          - np.mean(baseline_values).squeeze()
      )
  
imports: import random
  from typing import Dict, Optional, Union
  import numpy
  from scipy.optimize import minimize
  from sklearn.preprocessing import OneHotEncoder
  from dowhy.gcm.util.catboost_encoder import CatBoostEncoder
label_desc: Use image node_id 13 for calling a global function with example usage: means_difference(randomized_predictions, baseline_values) and returns: unknown