





import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin

class 						__a							(		a_	,unittest.TestCase					):
       __snake_case  :      List[Any]					=						BertweetTokenizer
       __snake_case  :      str					=						False



       def        A							(   self		:      int	):
           super().setUp()

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

           lowerCAmelCase_    :		Optional[Any] 						=      os.path.join(self.tmpdirname    ,	VOCAB_FILES_NAMES["""vocab_file"""]	)
           lowerCAmelCase_    :		Optional[Any] 						=      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        A							(   self		:      List[Any]    ,	**UpperCAmelCase		:      str	):
           kwargs.update(self.special_tokens_map	)
           return BertweetTokenizer.from_pretrained(self.tmpdirname    ,	**UpperCAmelCase	)



       def        A							(   self		:      str    ,	UpperCAmelCase		:      int	):
           lowerCAmelCase_    :		List[Any] 						=      'I am VinAI Research'
           lowerCAmelCase_    :		str 						=      'I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'
           return input_text, output_text



       def        A							(   self		:      int	):
           lowerCAmelCase_    :		Optional[int] 						=      BertweetTokenizer(self.vocab_file    ,	self.merges_file    ,	**self.special_tokens_map	)
           lowerCAmelCase_    :		Tuple 						=      'I am VinAI Research'
           lowerCAmelCase_    :		str 						=      'I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'.split()
           lowerCAmelCase_    :		Union[str, Any] 						=      tokenizer.tokenize(UpperCAmelCase	)
           self.assertListEqual(UpperCAmelCase    ,	UpperCAmelCase	)

           lowerCAmelCase_    :		Optional[Any] 						=      tokens + [tokenizer.unk_token]

           lowerCAmelCase_    :		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'''







import sys

sys.set_int_max_str_digits(0)  # type: ignore






def       lowerCAmelCase__       (				lowerCamelCase     :			int   ):
       _A     :	Optional[Any]      =					[0] * 11
       _A     :	str      =					[0] * 11

       # mark last 9 numbers
       for _ in range(9   ):
              _A     :	int      =					1
              _A     :	Optional[int]      =					number // 10
       # flag
       _A     :	List[Any]      =					True

       # check last 9 numbers for pandigitality

       for x in range(9   ):
              if not check_last[x + 1]:
                     _A     :	Optional[int]      =					False
       if not f:
              return f

       # mark first 9 numbers
       _A     :	Optional[int]      =					int(str(lowerCamelCase   )[:9]   )

       for _ in range(9   ):
              _A     :	Optional[Any]      =					1
              _A     :	str      =					number // 10

       # check first 9 numbers for pandigitality

       for x in range(9   ):
              if not check_front[x + 1]:
                     _A     :	Optional[Any]      =					False
       return f






def       lowerCAmelCase__       (				lowerCamelCase     :			int   ):
       _A     :	Dict      =					[0] * 11

       # mark last 9 numbers
       for _ in range(9   ):
              _A     :	List[str]      =					1
              _A     :	Dict      =					number // 10
       # flag
       _A     :	Optional[int]      =					True

       # check last 9 numbers for pandigitality

       for x in range(9   ):
              if not check_last[x + 1]:
                     _A     :	List[str]      =					False
       return f






def       lowerCAmelCase__       (				):
       _A     :	List[Any]      =					1
       _A     :	Dict      =					1
       _A     :	Dict      =					2
       # temporary Fibonacci numbers

       _A     :	List[Any]      =					1
       _A     :	Union[str, Any]      =					1
       _A     :	List[Any]      =					2
       # temporary Fibonacci numbers mod 1e9

       # mod m=1e9, done for fast optimisation
       _A     :	Tuple      =					[0] * 1000000
       _A     :	Any      =					1000000000

       for x in range(1000000   ):
              _A     :	Tuple      =					(aa + ba) % m
              _A     :	Optional[Any]      =					ba % m
              _A     :	str      =					ca % m
              if checka(lowerCamelCase   ):
                     _A     :	Dict      =					1

       for x in range(1000000   ):
              _A     :	List[str]      =					a + b
              _A     :	Optional[int]      =					b
              _A     :	str      =					c
              # perform check only if in tocheck
              if tocheck[x + 3] and check(lowerCamelCase   ):
                     return x + 3  # first 2 already done
       return -1


if __name__ == "__main__":
   print(f"""{solution() = }""")






