fork(6) download
  1.  
  2.  
  3. dials = input("Give me some dials or 0 to use builtin: \n")
  4. if not dials:
  5. dials = ['sbcapfdtmg', 'aoeirulhnt', 'aironeluts', 'etnlriaosc', 'seyrdtnlah']
  6.  
  7.  
  8. words = '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'
  9. words = words.decode("base64").decode("zip").split()
  10.  
  11. def is_possible(w):
  12. def test():
  13. for i, c in enumerate(w):
  14. yield c in dials[i]
  15.  
  16. return all(test())
  17.  
  18. print len([w for w in words if is_possible(w)])
  19.  
  20.  
Success #stdin #stdout 0.1s 10904KB
stdin
['sbcapfdtmg', 'aoeirulhnt', 'aironeluts', 'etnlriaosc', 'seyrdtnlah']
stdout
Give me some dials or 0 to use builtin: 
1115