code: def calculate_single_tanimoto_set_distances(target: Iterable[X], dict_of_sets: Mapping[Y, Set[X]]) -> Mapping[Y, float]:
      
      target_set = set(target)
  
      return {
          k: tanimoto_set_similarity(target_set, s)
          for k, s in dict_of_sets.items()
      }
docs: Return a dictionary of distances keyed by the keys in the given dict.
  
      Distances are calculated based on pairwise tanimoto similarity of the sets contained
  
      :param set target: A set
      :param dict_of_sets: A dict of {x: set of y}
      :type dict_of_sets: dict
      :return: A similarity dicationary based on the set overlap (tanimoto) score between the target set and the sets in
              dos
      :rtype: dict