code: def aggregate_registry_timers():
      
      import itertools
  
      timers = sorted(shared_registry.values(), key=lambda t: t.desc)
      aggregate_timers = []
      for k, g in itertools.groupby(timers, key=lambda t: t.desc):
          group = list(g)
          num_calls = len(group)
          total_elapsed_ms = sum(t.elapsed_time_ms for t in group)
          first_start_time = min(t.start_time for t in group)
          # We'll use the first start time as a sort key.
          aggregate_timers.append(
              (first_start_time, (k, total_elapsed_ms, num_calls)))
  
      aggregate_timers.sort()
      return zip(*aggregate_timers)[1]
docs: Returns a list of aggregate timing information for registered timers.
  
      Each element is a 3-tuple of
  
          - timer description
          - aggregate elapsed time
          - number of calls
  
      The list is sorted by the first start time of each aggregate timer.