code: def make_partitions(items, test):
      """
      Partitions items into sets based on the outcome of ``test(item1, item2)``.
      Pairs of items for which `test` returns `True` end up in the same set.
  
      Parameters
      ----------
      items : collections.abc.Iterable[collections.abc.Hashable]
          Items to partition
      test : collections.abc.Callable[collections.abc.Hashable, collections.abc.Hashable]
          A function that will be called with 2 arguments, taken from items.
          Should return `True` if those 2 items need to end up in the same
          partition, and `False` otherwise.
  
      Returns
      -------
      list[set]
          A list of sets, with each set containing part of the items in `items`,
          such that ``all(test(*pair) for pair in  itertools.combinations(set, 2))
          == True``
  
      Notes
      -----
      The function `test` is assumed to be transitive: if ``test(a, b)`` and
      ``test(b, c)`` return ``True``, then ``test(a, c)`` must also be ``True``.
      """
      partitions = []
      for item in items:
          for partition in partitions:
              p_item = next(iter(partition))
              if test(item, p_item):
                  partition.add(item)
                  break
          else:  # No break
              partitions.append({item})
      return partitions
  
imports: import itertools
  from collections import Counter, defaultdict
  from functools import reduce, wraps
label_desc: Use image node_id 2 for calling a global function with example usage: make_partitions(items, test) and returns: partitions