





'''simple docstring'''
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin

class 					snake_case					(   __lowerCamelCase      ,	unittest.TestCase	):




 """simple docstring"""



 SCREAMING_SNAKE_CASE_     : Optional[int]      		=BertweetTokenizer
 SCREAMING_SNAKE_CASE_     : List[str]      		=False






 def 	_lowerCamelCase (	self	:							Optional[Any]     ):
        super().setUp()

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

        __UpperCamelCase	=  os.path.join(self.tmpdirname							,     VOCAB_FILES_NAMES['vocab_file']     )
        __UpperCamelCase	=  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 	_lowerCamelCase (	self	:							Optional[int]							,     **__A	:							Tuple     ):
        kwargs.update(self.special_tokens_map     )
        return BertweetTokenizer.from_pretrained(self.tmpdirname							,     **__A     )






 def 	_lowerCamelCase (	self	:							List[str]							,     __A	:							Any     ):
        __UpperCamelCase	=  'I am VinAI Research'
        __UpperCamelCase	=  'I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'
        return input_text, output_text






 def 	_lowerCamelCase (	self	:							Tuple     ):
        __UpperCamelCase	=  BertweetTokenizer(self.vocab_file							,     self.merges_file							,     **self.special_tokens_map     )
        __UpperCamelCase	=  'I am VinAI Research'
        __UpperCamelCase	=  'I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'.split()
        __UpperCamelCase	=  tokenizer.tokenize(__A     )
        self.assertListEqual(__A							,     __A     )

        __UpperCamelCase	=  tokens + [tokenizer.unk_token]

        __UpperCamelCase	=  [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     lowercase__       (       __lowercase						:  list    ,  __lowercase						:  int    ,  __lowercase						:  int    ,  __lowercase						:  int					)			->				int:



       """simple docstring"""






       __UpperCamelCase	=  int((lower_bound + upper_bound) // 2					)
       if array[r] == value:
              return r
       if lower_bound >= upper_bound:
              return -1
       if array[r] < value:
              return binary_search(__lowercase    ,  r + 1    ,  __lowercase    ,  __lowercase					)
       else:
              return binary_search(__lowercase    ,  __lowercase    ,  r - 1    ,  __lowercase					)
def     lowercase__       (       __lowercase						:  int    ,  __lowercase						:  list					)			->				list:



       """simple docstring"""






       __UpperCamelCase	=  0
       if matrix[index][0] == value:
              return [index, 0]
       while index < len(__lowercase					) and matrix[index][0] < value:
              __UpperCamelCase	=  binary_search(matrix[index]    ,  0    ,  len(matrix[index]					) - 1    ,  __lowercase					)
              if r != -1:
                     return [index, r]
              index += 1
       return [-1, -1]


if __name__ == "__main__":
    import doctest

    doctest.testmod()
