



"""simple docstring"""
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin
class    a		(					UpperCAmelCase__		, unittest.TestCase    ):
  UpperCamelCase		:			Any         =   BertweetTokenizer
  UpperCamelCase		:			Optional[Any]         =   False



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


     '''simple docstring'''




     super().setUp()

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

     SCREAMING_SNAKE_CASE_:	List[str]            =os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["""vocab_file"""]						)
     SCREAMING_SNAKE_CASE_:	Optional[int]            =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	:   Dict    ,						**lowerCAmelCase	:   List[Any]						)       ->   str:


     '''simple docstring'''




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



  def 		lowerCamelCase__    (  self	:   str    ,						lowerCAmelCase	:   Optional[Any]						)       ->   str:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:	Any            ="""I am VinAI Research"""
     SCREAMING_SNAKE_CASE_:	Any            ="""I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"""
     return input_text, output_text





  def 		lowerCamelCase__    (  self	:   Optional[Any]						)       ->   str:


     '''simple docstring'''




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

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

     SCREAMING_SNAKE_CASE_:	Tuple            =[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						)








"""simple docstring"""
def        __magic_name__			(							lowercase = 1000	):
   SCREAMING_SNAKE_CASE_:	Dict            =0
   SCREAMING_SNAKE_CASE_:	Any            =0
   while 1:
      num += 3
      if num >= n:
         break
      total += num
      num += 2
      if num >= n:
         break
      total += num
      num += 1
      if num >= n:
         break
      total += num
      num += 3
      if num >= n:
         break
      total += num
      num += 1
      if num >= n:
         break
      total += num
      num += 2
      if num >= n:
         break
      total += num
      num += 3
      if num >= n:
         break
      total += num
   return total


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



