code: def _get_k_nearest_neighbors_indices(self, keys, k):
      distances = []
      indices = []
      for key in keys:
          index, distance = self.index.get_nns_by_vector(
              key, k, include_distances=True
          )
          distances.append(distance)
          indices.append(index)
      return distances, indices
  
imports: import os
  import pickle
  import numpy
label_desc: Use image node_id 6 for calling the AnnoyDictionary obj's underlying member method code with example usage: obj._get_k_nearest_neighbors_indices(keys, k) and returns: distances,  indices