






'''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__     (      lowerCamelCase			,    unittest.TestCase    ):
     '''simple docstring'''







     _snake_case							   =	BertweetTokenizer
     _snake_case							   =	False






     def      _UpperCamelCase (self     :						List[str]       )	->							List[str]:
           super().setUp()

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

           __A		 =   os.path.join(self.tmpdirname					,					VOCAB_FILES_NAMES["vocab_file"]       )
           __A		 =   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(lowercase__       )       )






     def      _UpperCamelCase (self     :						Dict					,					**lowercase__     :						List[Any]       )	->							Union[str, Any]:
           kwargs.update(self.special_tokens_map       )
           return BertweetTokenizer.from_pretrained(self.tmpdirname					,					**lowercase__       )






     def      _UpperCamelCase (self     :						Optional[int]					,					lowercase__     :						List[Any]       )	->							Union[str, Any]:
           __A		 =   "I am VinAI Research"
           __A		 =   "I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
           return input_text, output_text






     def      _UpperCamelCase (self     :						Any       )	->							List[Any]:
           __A		 =   BertweetTokenizer(self.vocab_file					,					self.merges_file					,					**self.special_tokens_map       )
           __A		 =   "I am VinAI Research"
           __A		 =   "I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
           __A		 =   tokenizer.tokenize(lowercase__       )
           self.assertListEqual(lowercase__					,					lowercase__       )

           __A		 =   tokens + [tokenizer.unk_token]

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










'''simple docstring'''







def     _UpperCamelCase				(  snake_case__ = 1_000				):
      __A		 =   []
      __A		 =   []
      __A		 =   3
      __A		 =   5
      __A		 =   1
      while True:
            __A		 =   z * temp
            if result < n:
                  zmulti.append(snake_case__				)
                  temp += 1
            else:
                  __A		 =   1
                  break
      while True:
            __A		 =   x * temp
            if result < n:
                  xmulti.append(snake_case__				)
                  temp += 1
            else:
                  break
      __A		 =   list(set(xmulti + zmulti				)				)
      return sum(snake_case__				)


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


