code: def _dunn_index_compute(
      intercluster_distance: Tensor, max_intracluster_distance: Tensor
  ) -> Tensor:
      """Compute the Dunn index based on updated state.
  
      Args:
          intercluster_distance: intercluster distances
          max_intracluster_distance: max intracluster distances
  
      Returns:
          scalar tensor with the dunn index
  
      """
      return (
          intercluster_distance.min() / max_intracluster_distance.max()
      )
  
imports: from itertools import combinations
  from typing import Tuple
  import torch
  from torch import Tensor
label_desc: Use image node_id 2 for calling a global function with example usage: _dunn_index_compute(intercluster_distance, max_intracluster_distance) and returns: unknown