






'''simple docstring'''





import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin





class 		SCREAMING_SNAKE_CASE__   (     lowercase_		,		unittest.TestCase    ):
		_UpperCAmelCase         =BertweetTokenizer
		_UpperCAmelCase         =False



		def _lowerCAmelCase     (    self:    List[str])  ->List[str]:






								'''simple docstring'''


								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(a				,   range(len(a))))
								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(a))



		def _lowerCAmelCase     (    self:    Dict				,   **a:    Union[str, Any])  ->Optional[Any]:






								'''simple docstring'''


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



		def _lowerCAmelCase     (    self:    Dict				,   a:    Optional[Any])  ->Union[str, Any]:






								'''simple docstring'''


								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 _lowerCAmelCase     (    self:    List[Any])  ->Dict:






								'''simple docstring'''


								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(a)
								self.assertListEqual(a				,   a)

								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(a)				,   a)











'''simple docstring'''





from __future__ import annotations

a_      = [2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]





class 		SCREAMING_SNAKE_CASE__   :



		def __init__(    self:    Optional[int]				,   a:    int)  ->None:






								'''simple docstring'''


								a_				     =   -1
								a_				     =   -1
								a_				     =   [-1] * length
								a_				     =   None
								a_				     =   None




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






								'''simple docstring'''


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





def 			__UpperCAmelCase				(lowercase__				)		->				Node | None:

						'''simple docstring'''


						a_				     =   Node(len(lowercase__				)				)
						a_     ,       a_				     =   min(lowercase__				), max(lowercase__				)
						# Leaf node case where the node contains only one unique value
						if root.minn == root.maxx:
												return root
						a_				     =   (root.minn + root.maxx) // 2

						a_				     =   []
						a_				     =   []

						for index, num in enumerate(lowercase__				):
												if num <= pivot:
																		left_arr.append(lowercase__				)
												else:
																		right_arr.append(lowercase__				)
												a_				     =   len(lowercase__				)
						a_				     =   build_tree(lowercase__				)
						a_				     =   build_tree(lowercase__				)
						return root



def 			__UpperCAmelCase				(lowercase__	,lowercase__	,lowercase__				)		->				int:

						'''simple docstring'''


						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
						a_				     =   (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	,lowercase__	,node.map_left[index] - 1				)
						else:
												# go to the right subtree and map index to the right subtree
												return rank_till_index(node.right	,lowercase__	,index - node.map_left[index]				)



def 			__UpperCAmelCase				(lowercase__	,lowercase__	,lowercase__	,lowercase__				)		->				int:

						'''simple docstring'''


						if start > end:
												return 0
						a_				     =   rank_till_index(lowercase__	,lowercase__	,lowercase__				)
						a_				     =   rank_till_index(lowercase__	,lowercase__	,start - 1				)
						return rank_till_end - rank_before_start



def 			__UpperCAmelCase				(lowercase__	,lowercase__	,lowercase__	,lowercase__				)		->				int:

						'''simple docstring'''


						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]
						a_				     =   node.map_left[end] - (
						    node.map_left[start - 1] if start else 0
						)
						if num_elements_in_left_tree > index:
												return quantile(
												    node.left	,lowercase__	,(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 			__UpperCAmelCase				(lowercase__	,lowercase__	,lowercase__	,lowercase__	,lowercase__				)		->				int:

						'''simple docstring'''


						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
						a_				     =   range_counting(
						    node.left	,(node.map_left[start - 1] if start else 0)	,node.map_left[end] - 1	,lowercase__	,lowercase__	,)
						a_				     =   range_counting(
						    node.right	,start - (node.map_left[start - 1] if start else 0)	,end - node.map_left[end]	,lowercase__	,lowercase__	,)
						return left + right


if __name__ == "__main__":
							import doctest

							doctest.testmod()



