
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin



class 		UpperCAmelCase_	(lowerCamelCase_  , unittest.TestCase						):
 """simple docstring"""




 UpperCamelCase_						:     Tuple				   =    BertweetTokenizer
 UpperCamelCase_						:     str				   =    False




 def   a      ( self       : Union[str, Any] )->					List[Any]:



      """simple docstring"""

      super().setUp()

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

      UpperCAmelCase_						:    str    					=  os.path.join(self.tmpdirname     ,   VOCAB_FILES_NAMES["""vocab_file"""] )
      UpperCAmelCase_						:    List[str]    					=  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(a_ ) )




 def   a      ( self       : Any     ,   **a_       : Tuple )->					Tuple:



      """simple docstring"""

      kwargs.update(self.special_tokens_map )
      return BertweetTokenizer.from_pretrained(self.tmpdirname     ,   **a_ )




 def   a      ( self       : Optional[int]     ,   a_       : Union[str, Any] )->					Tuple:



      """simple docstring"""

      UpperCAmelCase_						:    Dict    					=  """I am VinAI Research"""
      UpperCAmelCase_						:    List[str]    					=  """I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"""
      return input_text, output_text






 def   a      ( self       : Union[str, Any] )->					List[Any]:



      """simple docstring"""

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

      UpperCAmelCase_						:    List[Any]    					=  tokens + [tokenizer.unk_token]

      UpperCAmelCase_						:    int    					=  [4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(a_ )     ,   a_ )



"""simple docstring"""







def 			A_			(					lowercase = 99_8001      )     ->							int:


     """simple docstring"""







     for number in range(n - 1						, 9999						, -1      ):
          UpperCAmelCase_						:    Union[str, Any]    					=  str(lowercase      )

          # checks whether 'str_number' is a palindrome.
          if str_number == str_number[::-1]:
               UpperCAmelCase_						:    List[str]    					=  999

               # if 'number' is a product of two 3-digit numbers
               # then number is the answer otherwise fetch next number.
               while divisor != 99:
                    if (number % divisor == 0) and (len(str(number // divisor      )      ) == 3.0):
                         return number
                    divisor -= 1
     raise ValueError("""That number is larger than our acceptable range."""      )


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

