code: def geometric_median(x: np.ndarray) -> np.ndarray:
      def distance_function(x_input: np.ndarray) -> np.ndarray:
          return np.sum(np.sqrt(np.sum((x_input - x) ** 2, axis=1)))
  
      return minimize(
          distance_function, np.sum(x, axis=0) / x.shape[0]
      ).x
  
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 16 for calling a global function with example usage: geometric_median(x) and returns: minimize, np