code: def shuffled_argmin(
      values: np.ndarray, n_instances: int = 1
  ) -> np.ndarray:
      """
      Shuffles the values and sorts them afterwards. This can be used to break
      the tie when the highest utility score is not unique. The shuffle randomizes
      order, which is preserved by the mergesort algorithm.
  
      Args:
          values: Contains the values to be selected from.
          n_instances: Specifies how many indices and values to return.
      Returns:
          The indices and values of the n_instances smallest values.
      """
  
      indexes, index_values = shuffled_argmax(-values, n_instances)
  
      return indexes, -index_values
  
imports: import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: shuffled_argmin(values, n_instances) and returns: indexes,  unknown