

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    ):







		"""simple docstring"""




		UpperCAmelCase__ :	Optional[int]         =BertweetTokenizer
		UpperCAmelCase__ :	Dict         =False


		def 	_lowercase (     self      :	str						)   ->Optional[Any]:
								"""simple docstring"""







								super().setUp()

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

								SCREAMING_SNAKE_CASE	: Optional[int]					       =				os.path.join(self.tmpdirname			,			VOCAB_FILES_NAMES["""vocab_file"""]						)
								SCREAMING_SNAKE_CASE	: 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(__lowercase						)						)


		def 	_lowercase (     self      :	str			,			**UpperCAmelCase__      :	Tuple						)   ->Tuple:
								"""simple docstring"""







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


		def 	_lowercase (     self      :	Tuple			,			UpperCAmelCase__      :	Dict						)   ->int:
								"""simple docstring"""







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




		def 	_lowercase (     self      :	int						)   ->Any:
								"""simple docstring"""







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

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

								SCREAMING_SNAKE_CASE	: List[Any]					       =				[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						)







from __future__ import annotations

UpperCAmelCase__	:       Optional[int]			      =      [2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]







class     a__    :







  """simple docstring"""




  def __init__(     self      :	Optional[Any]			,			UpperCAmelCase__      :	int						)   ->None:
        """simple docstring"""







        SCREAMING_SNAKE_CASE	: int					       =				-1
        SCREAMING_SNAKE_CASE	: int					       =				-1
        SCREAMING_SNAKE_CASE	: list[int]					       =				[-1] * length
        SCREAMING_SNAKE_CASE	: Node | None					       =				None
        SCREAMING_SNAKE_CASE	: Node | None					       =				None




  def __repr__(     self      :	Dict						)   ->str:
        """simple docstring"""







        return f"Node(min_value={self.minn} max_value={self.maxx})"






def    __lowercase (       _A     )       ->  Node | None:
      SCREAMING_SNAKE_CASE	: Tuple					       =				Node(len(_A     )     )
      SCREAMING_SNAKE_CASE       ,		SCREAMING_SNAKE_CASE	: int					       =				min(_A     ), max(_A     )
      # Leaf node case where the node contains only one unique value
      if root.minn == root.maxx:
            return root
      SCREAMING_SNAKE_CASE	: int					       =				(root.minn + root.maxx) // 2

      SCREAMING_SNAKE_CASE	: list[int]					       =				[]
      SCREAMING_SNAKE_CASE	: list[int]					       =				[]

      for index, num in enumerate(_A     ):
            if num <= pivot:
                  left_arr.append(_A     )
            else:
                  right_arr.append(_A     )
            SCREAMING_SNAKE_CASE	: int					       =				len(_A     )
      SCREAMING_SNAKE_CASE	: int					       =				build_tree(_A     )
      SCREAMING_SNAKE_CASE	: Tuple					       =				build_tree(_A     )
      return root






def    __lowercase (       _A  ,      _A  ,      _A     )       ->  int:
      if index < 0 or node is None:
            return 0
      # Leaf node cases
      if node.minn == node.maxx:
            return index + 1 if node.minn == num else 0
      SCREAMING_SNAKE_CASE	: List[str]					       =				(node.minn + node.maxx) // 2
      if num <= pivot:
            # go the left subtree and map index to the left subtree
            return rank_till_index(node.left  ,      _A  ,      node.map_left[index] - 1     )
      else:
            # go to the right subtree and map index to the right subtree
            return rank_till_index(node.right  ,      _A  ,      index - node.map_left[index]     )






def    __lowercase (       _A  ,      _A  ,      _A  ,      _A     )       ->  int:
      if start > end:
            return 0
      SCREAMING_SNAKE_CASE	: Any					       =				rank_till_index(_A  ,      _A  ,      _A     )
      SCREAMING_SNAKE_CASE	: Optional[int]					       =				rank_till_index(_A  ,      _A  ,      start - 1     )
      return rank_till_end - rank_before_start






def    __lowercase (       _A  ,      _A  ,      _A  ,      _A     )       ->  int:
      if index > (end - start) or start > end or node is None:
            return -1
      # Leaf node case
      if node.minn == node.maxx:
            return node.minn
      # Number of elements in the left subtree in interval [start, end]
      SCREAMING_SNAKE_CASE	: Tuple					       =				node.map_left[end] - (
          node.map_left[start - 1] if start else 0
      )
      if num_elements_in_left_tree > index:
            return quantile(
                node.left  ,      _A  ,      (node.map_left[start - 1] if start else 0)  ,      node.map_left[end] - 1  ,      )
      else:
            return quantile(
                node.right  ,      index - num_elements_in_left_tree  ,      start - (node.map_left[start - 1] if start else 0)  ,      end - node.map_left[end]  ,      )






def    __lowercase (       _A  ,      _A  ,      _A  ,      _A  ,      _A     )       ->  int:
      if (
          start > end
          or node is None
          or start_num > end_num
          or node.minn > end_num
          or node.maxx < start_num
      ):
            return 0
      if start_num <= node.minn and node.maxx <= end_num:
            return end - start + 1
      SCREAMING_SNAKE_CASE	: Dict					       =				range_counting(
          node.left  ,      (node.map_left[start - 1] if start else 0)  ,      node.map_left[end] - 1  ,      _A  ,      _A  ,      )
      SCREAMING_SNAKE_CASE	: List[str]					       =				range_counting(
          node.right  ,      start - (node.map_left[start - 1] if start else 0)  ,      end - node.map_left[end]  ,      _A  ,      _A  ,      )
      return left + right


if __name__ == "__main__":
  import doctest

  doctest.testmod()




