


import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin


class       __lowerCAmelCase       (	a	,					unittest.TestCase   ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE						      =    BertweetTokenizer
  _SCREAMING_SNAKE_CASE						      =    False



  def    lowerCAmelCase__					(       self    :    Tuple					)				->	Optional[int]:




     """simple docstring"""
     super().setUp()

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

     snake_case_         =   os.path.join(self.tmpdirname      ,			VOCAB_FILES_NAMES["vocab_file"]					)
     snake_case_         =   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(_lowerCAmelCase					)					)



  def    lowerCAmelCase__					(       self    :    List[Any]      ,			**_lowerCAmelCase    :    Optional[Any]					)				->	int:




     """simple docstring"""
     kwargs.update(self.special_tokens_map					)
     return BertweetTokenizer.from_pretrained(self.tmpdirname      ,			**_lowerCAmelCase					)



  def    lowerCAmelCase__					(       self    :    Optional[int]      ,			_lowerCAmelCase    :    List[Any]					)				->	Optional[Any]:




     """simple docstring"""
     snake_case_         =   "I am VinAI Research"
     snake_case_         =   "I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
     return input_text, output_text



  def    lowerCAmelCase__					(       self    :    Optional[int]					)				->	str:




     """simple docstring"""
     snake_case_         =   BertweetTokenizer(self.vocab_file      ,			self.merges_file      ,			**self.special_tokens_map					)
     snake_case_         =   "I am VinAI Research"
     snake_case_         =   "I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
     snake_case_         =   tokenizer.tokenize(_lowerCAmelCase					)
     self.assertListEqual(_lowerCAmelCase      ,			_lowerCAmelCase					)

     snake_case_         =   tokens + [tokenizer.unk_token]

     snake_case_         =   [4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase					)      ,			_lowerCAmelCase					)








def      _lowerCAmelCase  (							lowerCAmelCase_							:Dict						,  lowerCAmelCase_							:Optional[int]						,  lowerCAmelCase_							:Tuple							)->Optional[Any]:
   '''simple docstring'''






   assert b != 0, "This cannot accept modulo that is == 0"
   if n == 0:
      return 1

   if n % 2 == 1:
      return (bin_exp_mod(lowerCAmelCase_						,  n - 1						,  lowerCAmelCase_							) * a) % b

   snake_case_         =   bin_exp_mod(lowerCAmelCase_						,  n / 2						,  lowerCAmelCase_							)
   return (r * r) % b


if __name__ == "__main__":
   try:
      SCREAMING_SNAKE_CASE		:str											=       int(input('''Enter Base : ''').strip())
      SCREAMING_SNAKE_CASE		:List[Any]											=       int(input('''Enter Power : ''').strip())
      SCREAMING_SNAKE_CASE		:Dict											=       int(input('''Enter Modulo : ''').strip())
   except ValueError:
      print('''Invalid literal for integer''')

   print(bin_exp_mod(BASE, POWER, MODULO))




