
"""simple docstring"""




import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class 	_lowercase    (							lowerCAmelCase_						, unittest.TestCase					):


     '''simple docstring'''





     _A		    =				BertweetTokenizer
     _A		    =				False



     def 			lowerCAmelCase__							(   self	)->       List[Any]:
          super().setUp()

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          UpperCAmelCase__				:			str							=    ["I", "m", "V@@", "R@@", "r", "e@@"]
          UpperCAmelCase__				:			Any							=    dict(zip(__UpperCamelCase			,      range(len(__UpperCamelCase	)	)	)	)
          UpperCAmelCase__				:			Tuple							=    ["#version: 0.2", "a m</w>"]
          UpperCAmelCase__				:			Optional[Any]							=    {"unk_token": "<unk>"}

          UpperCAmelCase__				:			List[Any]							=    os.path.join(self.tmpdirname			,      VOCAB_FILES_NAMES["vocab_file"]	)
          UpperCAmelCase__				:			Tuple							=    os.path.join(self.tmpdirname			,      VOCAB_FILES_NAMES["merges_file"]	)
          with open(self.vocab_file			,      "w"			,      encoding="utf-8"	) as fp:
               for token in vocab_tokens:
                    fp.write(F"{token} {vocab_tokens[token]}\n"	)
          with open(self.merges_file			,      "w"			,      encoding="utf-8"	) as fp:
               fp.write("\n".join(__UpperCamelCase	)	)



     def 			lowerCAmelCase__							(   self			,      **__UpperCamelCase	)->       Dict:
          kwargs.update(self.special_tokens_map	)
          return BertweetTokenizer.from_pretrained(self.tmpdirname			,      **__UpperCamelCase	)



     def 			lowerCAmelCase__							(   self			,      __UpperCamelCase	)->       Tuple:
          UpperCAmelCase__				:			Optional[int]							=    "I am VinAI Research"
          UpperCAmelCase__				:			Tuple							=    "I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
          return input_text, output_text



     def 			lowerCAmelCase__							(   self	)->       str:
          UpperCAmelCase__				:			Dict							=    BertweetTokenizer(self.vocab_file			,      self.merges_file			,      **self.special_tokens_map	)
          UpperCAmelCase__				:			Union[str, Any]							=    "I am VinAI Research"
          UpperCAmelCase__				:			Optional[int]							=    "I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
          UpperCAmelCase__				:			Optional[Any]							=    tokenizer.tokenize(__UpperCamelCase	)
          self.assertListEqual(__UpperCamelCase			,      __UpperCamelCase	)

          UpperCAmelCase__				:			Any							=    tokens + [tokenizer.unk_token]

          UpperCAmelCase__				:			List[str]							=    [4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase	)			,      __UpperCamelCase	)





"""simple docstring"""




def 				a__			(					lowerCAmelCase						:							str							,     lowerCAmelCase						:							int = 13		):






     '''simple docstring'''
     UpperCAmelCase__				:			Any							=    ""
     for c in s:
          if "A" <= c <= "Z":
               out += chr(ord("A"		) + (ord(lowerCAmelCase		) - ord("A"		) + n) % 26		)
          elif "a" <= c <= "z":
               out += chr(ord("a"		) + (ord(lowerCAmelCase		) - ord("a"		) + n) % 26		)
          else:
               out += c
     return out



def 				a__			(					):






     '''simple docstring'''
     UpperCAmelCase__				:			Optional[int]							=    input("Enter message: "		)

     UpperCAmelCase__				:			Optional[Any]							=    dencrypt(lowerCAmelCase							,     13		)
     print("Encryption:"							,     lowerCAmelCase		)

     UpperCAmelCase__				:			List[str]							=    dencrypt(lowerCAmelCase							,     13		)
     print("Decryption: "							,     lowerCAmelCase		)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()



