text: __doc__ = """
  I really don't like that 52% without a match. How many have high confidence?
  """
  
  import csv
  from collections import Counter
  from pprint import PrettyPrinter
  pprint = PrettyPrinter().pprint
  import json
  '''
  genes={m['uniprot']: m for m in csv.DictReader(open('tally.csv','r'))}
  
  confdex = Counter([max([int(x) for x in genes[u]['confidence_level'].split('|')]) for u in genes if genes[u]['%modelled'] == '0'])
  refdex = Counter([max([int(x) for x in genes[u]['confidence_level'].split('|')]) for u in genes])
  
  print(confdex.most_common())
  print(refdex.most_common())
  
  con4 = [(u,genes[u]['name'],genes[u]['full_name']) for u in genes if genes[u]['%modelled'] == '0' and '4' in genes[u]['confidence_level']]
  #pprint(con4)
  
  #ordered sub-300AA con-4 non-TM unchar
  # for the non-TM and ordered I need the protein module...
  i = 0
  for u in genes:
      if genes[u]['len'] and int(genes[u]['len']) < 300 and genes[u]['%modelled'] == '0' and '4' in genes[u]['confidence_level']:
          print(u)
          i+=1
  print(i)
  '''
  
  
  raise NotImplementedError
  
  
  