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'''






      _snake_case     		=							BertweetTokenizer
      _snake_case     		=							False



      def 						_SCREAMING_SNAKE_CASE     (       self  :					Tuple)					->Any:


          """simple docstring"""


          super().setUp()

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

          _lowerCamelCase  :		List[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 						_SCREAMING_SNAKE_CASE     (       self  :					Tuple     ,	**_UpperCamelCase  :					Optional[Any])					->Tuple:


          """simple docstring"""


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



      def 						_SCREAMING_SNAKE_CASE     (       self  :					List[str]     ,	_UpperCamelCase  :					Tuple)					->Optional[Any]:


          """simple docstring"""


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




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


          """simple docstring"""


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

          _lowerCamelCase  :		int			    =    tokens + [tokenizer.unk_token]

          _lowerCamelCase  :		Dict			    =    [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)





from __future__ import annotations







def     A__	(       __A ,			__A						):







    '''simple docstring'''
    _lowerCamelCase  :		List[str]			    =    [None] * (len(__A						) + len(__A						))

    _lowerCamelCase  :		Optional[int]			    =    0  # pointer to current index for left Half
    _lowerCamelCase  :		List[str]			    =    0  # pointer to current index for the right Half
    _lowerCamelCase  :		List[str]			    =    0  # pointer to current index for the sorted array Half

    while pointera < len(__A						) and pointera < len(__A						):
        if left_half[pointera] < right_half[pointera]:
            _lowerCamelCase  :		Optional[Any]			    =    left_half[pointera]
            pointera += 1
            index += 1
        else:
            _lowerCamelCase  :		List[Any]			    =    right_half[pointera]
            pointera += 1
            index += 1
    while pointera < len(__A						):
        _lowerCamelCase  :		int			    =    left_half[pointera]
        pointera += 1
        index += 1

    while pointera < len(__A						):
        _lowerCamelCase  :		Optional[Any]			    =    right_half[pointera]
        pointera += 1
        index += 1

    return sorted_array







def     A__	(       __A						):







    '''simple docstring'''
    if len(__A						) <= 1:
        return array
    # the actual formula to calculate the middle element = left + (right - left) // 2
    # this avoids integer overflow in case of large N
    _lowerCamelCase  :		int			    =    0 + (len(__A						) - 0) // 2

    # Split the array into halves till the array length becomes equal to One
    # merge the arrays of single length returned by mergeSort function and
    # pass them into the merge arrays function which merges the array
    _lowerCamelCase  :		List[str]			    =    array[:middle]
    _lowerCamelCase  :		Optional[int]			    =    array[middle:]

    return merge(merge_sort(__A						) ,			merge_sort(__A						)						)


if __name__ == "__main__":
    import doctest

    doctest.testmod()




