





import io
import json
import unittest

from parameterized import parameterized

from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu


_lowerCAmelCase 				=     get_tests_dir() + """/test_data/fsmt/fsmt_val_data.json"""
with io.open(filename, """r""", encoding="""utf-8""") as f:
      _lowerCAmelCase 				=     json.load(f)

@require_torch
class    _UpperCAmelCase							(		unittest.TestCase     ):
      def 		_lowerCamelCase      (		self      ,       a__       ):
         return FSMTTokenizer.from_pretrained(UpperCamelCase__       )
      def 		_lowerCamelCase      (		self      ,       a__       ):
         A_     :				int			      =	FSMTForConditionalGeneration.from_pretrained(UpperCamelCase__       ).to(UpperCamelCase__       )
         if torch_device == "cuda":
            model.half()
         return model






      @parameterized.expand(
          [
              ["""en-ru""", 26.0],
              ["""ru-en""", 22.0],
              ["""en-de""", 22.0],
              ["""de-en""", 29.0],
          ]       )
      @slow
      def 		_lowerCamelCase      (		self      ,       a__      ,       a__       ):
         A_     :				Optional[Any]			      =	F"""facebook/wmt19-{pair}"""
         A_     :				Optional[int]			      =	self.get_tokenizer(UpperCamelCase__       )
         A_     :				List[Any]			      =	self.get_model(UpperCamelCase__       )

         A_     :				Tuple			      =	bleu_data[pair]["""src"""]
         A_     :				int			      =	bleu_data[pair]["""tgt"""]

         A_     :				str			      =	tokenizer(UpperCamelCase__      ,       return_tensors="""pt"""      ,       truncation=UpperCamelCase__      ,       padding="""longest"""       ).to(UpperCamelCase__       )
         A_     :				List[Any]			      =	model.generate(
             input_ids=batch.input_ids      ,       num_beams=8      ,       )
         A_     :				str			      =	tokenizer.batch_decode(
             UpperCamelCase__      ,       skip_special_tokens=UpperCamelCase__      ,       clean_up_tokenization_spaces=UpperCamelCase__       )
         A_     :				Dict			      =	calculate_bleu(UpperCamelCase__      ,       UpperCamelCase__       )
         print(UpperCamelCase__       )
         self.assertGreaterEqual(scores["""bleu"""]      ,       UpperCamelCase__       )













_lowerCAmelCase 				=     """ABCDEFGHIJKLMNOPQRSTUVWXYZ"""



def     _lowerCAmelCase		(  ):
   '''simple docstring'''


   A_     :				Any			      =	input("""Enter message: """     )
   A_     :				Dict			      =	input("""Enter key [alphanumeric]: """     )
   A_     :				Dict			      =	input("""Encrypt/Decrypt [e/d]: """     )

   if mode.lower().startswith("""e"""     ):
      A_     :				Union[str, Any]			      =	"""encrypt"""
      A_     :				Optional[int]			      =	encrypt_message(_lowerCAmelCase  ,_lowerCAmelCase     )
   elif mode.lower().startswith("""d"""     ):
      A_     :				str			      =	"""decrypt"""
      A_     :				Dict			      =	decrypt_message(_lowerCAmelCase  ,_lowerCAmelCase     )

   print(f"""\n{mode.title()}ed message:"""     )
   print(_lowerCAmelCase     )



def     _lowerCAmelCase		(  _lowerCAmelCase  ,_lowerCAmelCase     ):
   '''simple docstring'''


   return translate_message(_lowerCAmelCase  ,_lowerCAmelCase  ,"""encrypt"""     )



def     _lowerCAmelCase		(  _lowerCAmelCase  ,_lowerCAmelCase     ):
   '''simple docstring'''


   return translate_message(_lowerCAmelCase  ,_lowerCAmelCase  ,"""decrypt"""     )



def     _lowerCAmelCase		(  _lowerCAmelCase  ,_lowerCAmelCase  ,_lowerCAmelCase     ):
   '''simple docstring'''


   A_     :				Dict			      =	[]
   A_     :				List[Any]			      =	0
   A_     :				int			      =	key.upper()

   for symbol in message:
      A_     :				Optional[int]			      =	LETTERS.find(symbol.upper()     )
      if num != -1:
         if mode == "encrypt":
            num += LETTERS.find(key[key_index]     )
         elif mode == "decrypt":
            num -= LETTERS.find(key[key_index]     )

         num %= len(_lowerCAmelCase     )

         if symbol.isupper():
            translated.append(LETTERS[num]     )
         elif symbol.islower():
            translated.append(LETTERS[num].lower()     )

         key_index += 1
         if key_index == len(_lowerCAmelCase     ):
            A_     :				Dict			      =	0
      else:
         translated.append(_lowerCAmelCase     )
   return "".join(_lowerCAmelCase     )


if __name__ == "__main__":
      main()






