from __future__ import annotations




def    lowerCAmelCase_ (     __A							)     ->				list[int]:







      '''simple docstring'''


      return [ord(__A							) - 96 for elem in plain]




def    lowerCAmelCase_ (     __A							)     ->				str:







      '''simple docstring'''


      return "".join(chr(elem + 96							) for elem in encoded							)




def    lowerCAmelCase_ (     )     ->				None:







      '''simple docstring'''


      UpperCAmelCase__								=  encode(input("-> "							).strip().lower()							)
      print("Encoded: ",  __A							)
      print("Decoded:",  decode(__A							)							)


if __name__ == "__main__":
      main()




import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property





@unittest.skipUnless(os.path.exists(UpperCAmelCase_     )		,				'Tatoeba directory does not exist.'     )
class      A							(				unittest.TestCase     ):


   @cached_property
   def 			lowercase_      (self     :						Optional[int]		)						->				List[Any]:
         """simple docstring"""



         UpperCAmelCase__								=  tempfile.mkdtemp()
         return TatoebaConverter(save_dir=__UpperCAmelCase		)


   @slow
   def 			lowercase_      (self     :						List[Any]		)						->				Optional[int]:
         """simple docstring"""



         self.resolver.convert_models(["heb-eng"]		)





   @slow
   def 			lowercase_      (self     :						Dict		)						->				List[str]:
         """simple docstring"""



         UpperCAmelCase__		,      UpperCAmelCase__								=  self.resolver.write_model_card("opus-mt-he-en"       ,  dry_run=__UpperCAmelCase		)
         assert mmeta["long_pair"] == "heb-eng"



