'''simple docstring'''

import json
import os
import unittest

from transformers.models.fsmt.tokenization_fsmt import VOCAB_FILES_NAMES, FSMTTokenizer
from transformers.testing_utils import slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


# using a different tiny model than the one used for default params defined in init to ensure proper testing
__snake_case       :   Optional[int]  		=    '''stas/tiny-wmt19-en-ru'''
class 							lowercase_    (     _A ,  unittest.TestCase						):
    a_             =   FSMTTokenizer
    a_             =   False







    def   lowerCamelCase_    (	self				)				->       Optional[Any]:





     """simple docstring"""

     super().setUp()

     # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
     UpperCAmelCase_				       =					[
         "l",
         "o",
         "w",
         "e",
         "r",
         "s",
         "t",
         "i",
         "d",
         "n",
         "w</w>",
         "r</w>",
         "t</w>",
         "lo",
         "low",
         "er</w>",
         "low</w>",
         "lowest</w>",
         "newer</w>",
         "wider</w>",
         "<unk>",
     ]
     UpperCAmelCase_				       =					dict(zip(UpperCamelCase__       ,     range(len(UpperCamelCase__				)				)				)				)
     UpperCAmelCase_				       =					["l o 123", "lo w 1456", "e r</w> 1789", ""]

     UpperCAmelCase_				       =					["en", "ru"]
     UpperCAmelCase_				       =					{
         "langs": self.langs,
         "src_vocab_size": 1_0,
         "tgt_vocab_size": 2_0,
     }

     UpperCAmelCase_				       =					os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES["src_vocab_file"]				)
     UpperCAmelCase_				       =					os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES["tgt_vocab_file"]				)
     UpperCAmelCase_				       =					os.path.join(self.tmpdirname       ,     "tokenizer_config.json"				)
     UpperCAmelCase_				       =					os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES["merges_file"]				)
     with open(self.src_vocab_file       ,     "w"				) as fp:
      fp.write(json.dumps(UpperCamelCase__				)				)
     with open(self.tgt_vocab_file       ,     "w"				) as fp:
      fp.write(json.dumps(UpperCamelCase__				)				)
     with open(self.merges_file       ,     "w"				) as fp:
      fp.write("\n".join(UpperCamelCase__				)				)
     with open(UpperCamelCase__       ,     "w"				) as fp:
      fp.write(json.dumps(UpperCamelCase__				)				)







    @cached_property
    def   lowerCamelCase_    (	self				)				->       Union[str, Any]:





     """simple docstring"""

     return FSMTTokenizer.from_pretrained("facebook/wmt19-ru-en"				)







    @cached_property
    def   lowerCamelCase_    (	self				)				->       str:





     """simple docstring"""

     return FSMTTokenizer.from_pretrained("facebook/wmt19-en-ru"				)







    def   lowerCamelCase_    (	self				)				->       Optional[Any]:





     """simple docstring"""

     UpperCAmelCase_				       =					FSMTTokenizer.from_pretrained(UpperCamelCase__				)
     self.assertListEqual([tokenizer.src_lang, tokenizer.tgt_lang]       ,     ["en", "ru"]				)
     self.assertEqual(tokenizer.src_vocab_size       ,     2_1				)
     self.assertEqual(tokenizer.tgt_vocab_size       ,     2_1				)







    def   lowerCamelCase_    (	self				)				->       int:





     """simple docstring"""

     UpperCAmelCase_				       =					FSMTTokenizer(self.langs       ,     self.src_vocab_file       ,     self.tgt_vocab_file       ,     self.merges_file				)

     UpperCAmelCase_				       =					"lower"
     UpperCAmelCase_				       =					["low", "er</w>"]
     UpperCAmelCase_				       =					tokenizer.tokenize(UpperCamelCase__				)
     self.assertListEqual(UpperCamelCase__       ,     UpperCamelCase__				)

     UpperCAmelCase_				       =					tokens + ["<unk>"]
     UpperCAmelCase_				       =					[1_4, 1_5, 2_0]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__				)       ,     UpperCamelCase__				)







    @slow
    def   lowerCamelCase_    (	self				)				->       Optional[int]:





     """simple docstring"""

     UpperCAmelCase_				       =					self.tokenizer_ru_en

     UpperCAmelCase_				       =					tokenizer.encode("sequence builders"       ,     add_special_tokens=UpperCamelCase__				)
     UpperCAmelCase_				       =					tokenizer.encode("multi-sequence build"       ,     add_special_tokens=UpperCamelCase__				)

     UpperCAmelCase_				       =					tokenizer.build_inputs_with_special_tokens(UpperCamelCase__				)
     UpperCAmelCase_				       =					tokenizer.build_inputs_with_special_tokens(UpperCamelCase__       ,     UpperCamelCase__				)

     assert encoded_sentence == text + [2]
     assert encoded_pair == text + [2] + text_a + [2]







    @slow
    def   lowerCamelCase_    (	self				)				->       Dict:





     """simple docstring"""

     UpperCAmelCase_				       =					self.tokenizer_en_ru
     UpperCAmelCase_				       =					self.tokenizer_ru_en

     UpperCAmelCase_				       =					[
         [
             "Here's a little song I wrote. Don't worry, be happy.",
             [2_4_7_0, 3_9, 1_1, 2_3_4_9, 7_2_2_2, 7_0, 5_9_7_9, 7, 8_4_5_0, 1_0_5_0, 1_3_1_6_0, 5, 2_6, 6_4_4_5, 7, 2],
         ],
         ["This is it. No more. I'm done!", [1_3_2, 2_1, 3_7, 7, 1_4_3_4, 8_6, 7, 7_0, 6_4_7_6, 1_3_0_5, 4_2_7, 2]],
     ]

     # if data needs to be recreated or added, run:
     # import torch
     # model = torch.hub.load("pytorch/fairseq", "transformer.wmt19.en-ru", checkpoint_file="model4.pt", tokenizer="moses", bpe="fastbpe")
     # for src_text, _ in targets: print(f"""[\n"{src_text}",\n {model.encode(src_text).tolist()}\n],""")

     for src_text, tgt_input_ids in targets:
      UpperCAmelCase_				       =					tokenizer_enc.encode(UpperCamelCase__       ,     return_tensors=UpperCamelCase__				)
      self.assertListEqual(UpperCamelCase__       ,     UpperCamelCase__				)

      # and decode backward, using the reversed languages model
      UpperCAmelCase_				       =					tokenizer_dec.decode(UpperCamelCase__       ,     skip_special_tokens=UpperCamelCase__				)
      self.assertEqual(UpperCamelCase__       ,     UpperCamelCase__				)







    @slow
    def   lowerCamelCase_    (	self				)				->       Tuple:





     """simple docstring"""

     UpperCAmelCase_				       =					FSMTTokenizer.from_pretrained("facebook/wmt19-ru-en"       ,     do_lower_case=UpperCamelCase__				)
     UpperCAmelCase_				       =					tokenizer.tokenize("USA is United States of America"				)
     UpperCAmelCase_				       =					["us", "a</w>", "is</w>", "un", "i", "ted</w>", "st", "ates</w>", "of</w>", "am", "er", "ica</w>"]
     self.assertListEqual(UpperCamelCase__       ,     UpperCamelCase__				)







    @unittest.skip("FSMTConfig.__init__  requires non-optional args"				)
    def   lowerCamelCase_    (	self				)				->       Dict:





     """simple docstring"""

     pass







    @unittest.skip("FSMTConfig.__init__  requires non-optional args"				)
    def   lowerCamelCase_    (	self				)				->       Tuple:





     """simple docstring"""

     pass

'''simple docstring'''

import random
import sys

__snake_case       :   str  		=    '''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''



def lowerCamelCase__						(       ):
 UpperCAmelCase_				       =					input("Enter message: "       )
 UpperCAmelCase_				       =					"LFWOAYUISVKMNXPBDCRJTQEGHZ"
 UpperCAmelCase_				       =					input("Encrypt/Decrypt [e/d]: "       )

 check_valid_key(A_       )

 if resp.lower().startswith("e"       ):
  UpperCAmelCase_				       =					"encrypt"
  UpperCAmelCase_				       =					encrypt_message(A_       ,			A_       )
 elif resp.lower().startswith("d"       ):
  UpperCAmelCase_				       =					"decrypt"
  UpperCAmelCase_				       =					decrypt_message(A_       ,			A_       )

 print(F"""\n{mode.title()}ion: \n{translated}"""       )



def lowerCamelCase__						(       A_       ):
 UpperCAmelCase_				       =					list(A_       )
 UpperCAmelCase_				       =					list(A_       )
 key_list.sort()
 letters_list.sort()

 if key_list != letters_list:
  sys.exit("Error in the key or symbol set."       )



def lowerCamelCase__						(       A_       ,			A_       ):
 return translate_message(A_       ,			A_       ,			"encrypt"       )



def lowerCamelCase__						(       A_       ,			A_       ):
 return translate_message(A_       ,			A_       ,			"decrypt"       )



def lowerCamelCase__						(       A_       ,			A_       ,			A_       ):
 UpperCAmelCase_				       =					""
 UpperCAmelCase_				       =					LETTERS
 UpperCAmelCase_				       =					key

 if mode == "decrypt":
  UpperCAmelCase_       ,       UpperCAmelCase_				       =					chars_b, chars_a

 for symbol in message:
  if symbol.upper() in chars_a:
   UpperCAmelCase_				       =					chars_a.find(symbol.upper()       )
   if symbol.isupper():
    translated += chars_b[sym_index].upper()
   else:
    translated += chars_b[sym_index].lower()
  else:
   translated += symbol

 return translated



def lowerCamelCase__						(       ):
 UpperCAmelCase_				       =					list(A_       )
 random.shuffle(A_       )
 return "".join(A_       )


if __name__ == "__main__":
      main()
