code: def stats(args):
      
      cat = _catalog(args)
      print('Summary:')
      print('  {0:,} objects with {1:,} bitstreams of total size {2}'.format(
          len(cat), sum(len(obj.bitstreams) for obj in cat), cat.size_h))
      print('  {0} duplicate bitstreams'.format(
          sum(1 for objs in cat.md5_to_object.values() if len(objs) > 1)))
      print('  {0} objects with no bitstreams'.format(
          sum(1 for obj in cat if not obj.bitstreams)))
  
      print()
      types = Counter(chain(*[[bs.mimetype for bs in obj.bitstreams] for obj in cat]))
      table = Table('maintype', 'subtype', 'bitstreams')
      for maintype, items in groupby(
              sorted(types.items(), key=lambda p: (p[0].split('/')[0], -p[1])),
              lambda p: p[0].split('/')[0]):
          for k, v in items:
              table.append([maintype, k.split('/')[1], v])
      print(table.render(tablefmt='simple'))
docs: cdstarcat stats
  
      Print summary statistics of bitstreams in the catalog to stdout.