
'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
						from transformers.pipelines.conversational import Conversation

lowercase__						       =      logging.get_logger(__name__)


lowercase__						       =      {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

lowercase__						       =      {
    "vocab_file": {"facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json"},
    "merges_file": {"facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt"},
    "tokenizer_config_file": {
        "facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json"
    },
}

lowercase__						       =      {"facebook/blenderbot-3B": 1_2_8}




@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def    _UpperCamelCase						(       )  ->							Optional[Any]:


		'''simple docstring'''


		snake_case  :       Dict     			=						(
		    list(range(ord('''!'''			) ,       ord('''~'''			) + 1			)			) + list(range(ord('''¡'''			) ,       ord('''¬'''			) + 1			)			) + list(range(ord('''®'''			) ,       ord('''ÿ'''			) + 1			)			)
		)
		snake_case  :       int     			=						bs[:]
		snake_case  :       Any     			=						0
		for b in range(2**8			):
				if b not in bs:
						bs.append(SCREAMING_SNAKE_CASE__			)
						cs.append(2**8 + n			)
						n += 1
		snake_case  :       Tuple     			=						[chr(SCREAMING_SNAKE_CASE__			) for n in cs]
		return dict(zip(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)			)




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							Any:


		'''simple docstring'''


		snake_case  :       List[str]     			=						set()
		snake_case  :       str     			=						word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)			)
				snake_case  :       Dict     			=						char
		return pairs






class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						VOCAB_FILES_NAMES
		lowerCamelCase     							=						PRETRAINED_VOCAB_FILES_MAP
		lowerCamelCase     							=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowerCamelCase     							=						["""input_ids""", """attention_mask"""]



		def __init__(      self				:			Tuple  ,	UpperCamelCase__				:			Union[str, Any]  ,	UpperCamelCase__				:			List[Any]  ,	UpperCamelCase__				:			str="replace"  ,	UpperCamelCase__				:			int="<s>"  ,	UpperCamelCase__				:			Optional[int]="</s>"  ,	UpperCamelCase__				:			int="</s>"  ,	UpperCamelCase__				:			Optional[int]="<s>"  ,	UpperCamelCase__				:			Any="<unk>"  ,	UpperCamelCase__				:			List[Any]="<pad>"  ,	UpperCamelCase__				:			Optional[int]="<mask>"  ,	UpperCamelCase__				:			Optional[Any]=False  ,	**UpperCamelCase__				:			Dict  ,	)						->			str:






				"""simple docstring"""







				snake_case  :       str     			=						AddedToken(UpperCamelCase__  ,	lstrip=UpperCamelCase__  ,	rstrip=UpperCamelCase__      ) if isinstance(UpperCamelCase__  ,	UpperCamelCase__      ) else bos_token
				snake_case  :       Any     			=						AddedToken(UpperCamelCase__  ,	lstrip=UpperCamelCase__  ,	rstrip=UpperCamelCase__      ) if isinstance(UpperCamelCase__  ,	UpperCamelCase__      ) else eos_token
				snake_case  :       List[str]     			=						AddedToken(UpperCamelCase__  ,	lstrip=UpperCamelCase__  ,	rstrip=UpperCamelCase__      ) if isinstance(UpperCamelCase__  ,	UpperCamelCase__      ) else sep_token
				snake_case  :       Optional[Any]     			=						AddedToken(UpperCamelCase__  ,	lstrip=UpperCamelCase__  ,	rstrip=UpperCamelCase__      ) if isinstance(UpperCamelCase__  ,	UpperCamelCase__      ) else cls_token
				snake_case  :       int     			=						AddedToken(UpperCamelCase__  ,	lstrip=UpperCamelCase__  ,	rstrip=UpperCamelCase__      ) if isinstance(UpperCamelCase__  ,	UpperCamelCase__      ) else unk_token
				snake_case  :       str     			=						AddedToken(UpperCamelCase__  ,	lstrip=UpperCamelCase__  ,	rstrip=UpperCamelCase__      ) if isinstance(UpperCamelCase__  ,	UpperCamelCase__      ) else pad_token

				# Mask token behave like a normal word, i.e. include the space before it
				snake_case  :       str     			=						AddedToken(UpperCamelCase__  ,	lstrip=UpperCamelCase__  ,	rstrip=UpperCamelCase__      ) if isinstance(UpperCamelCase__  ,	UpperCamelCase__      ) else mask_token

				super().__init__(
				    errors=UpperCamelCase__  ,	bos_token=UpperCamelCase__  ,	eos_token=UpperCamelCase__  ,	unk_token=UpperCamelCase__  ,	sep_token=UpperCamelCase__  ,	cls_token=UpperCamelCase__  ,	pad_token=UpperCamelCase__  ,	mask_token=UpperCamelCase__  ,	add_prefix_space=UpperCamelCase__  ,	**UpperCamelCase__  ,	)

				with open(UpperCamelCase__  ,	encoding='''utf-8'''      ) as vocab_handle:
						snake_case  :       Union[str, Any]     			=						json.load(UpperCamelCase__      )
				snake_case  :       Dict     			=						{v: k for k, v in self.encoder.items()}
				snake_case  :       Optional[int]     			=						errors  # how to handle errors in decoding
				snake_case  :       List[Any]     			=						bytes_to_unicode()
				snake_case  :       Dict     			=						{v: k for k, v in self.byte_encoder.items()}
				with open(UpperCamelCase__  ,	encoding='''utf-8'''      ) as merges_handle:
						snake_case  :       Optional[Any]     			=						merges_handle.read().split('''\n'''      )[1:-1]
				snake_case  :       Optional[int]     			=						[tuple(merge.split()      ) for merge in bpe_merges]
				snake_case  :       Optional[int]     			=						dict(zip(UpperCamelCase__  ,	range(len(UpperCamelCase__      )      )      )      )
				snake_case  :       int     			=						{}
				snake_case  :       Any     			=						add_prefix_space

				# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
				snake_case  :       Any     			=						re.compile(R'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''      )



		@property
		# Copied from transformers.models.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
		def       lowerCAmelCase				(      self				:			List[Any]      )						->			Any:






				"""simple docstring"""







				return len(self.encoder      )



		def       lowerCAmelCase				(      self				:			List[Any]      )						->			Optional[int]:






				"""simple docstring"""







				return dict(self.encoder  ,	**self.added_tokens_encoder      )



		def       lowerCAmelCase				(      self				:			Union[str, Any]  ,	UpperCamelCase__				:			Tuple      )						->			Dict:






				"""simple docstring"""







				if token in self.cache:
						return self.cache[token]
				snake_case  :       str     			=						tuple(UpperCamelCase__      )
				snake_case  :       Union[str, Any]     			=						get_pairs(UpperCamelCase__      )

				if not pairs:
						return token

				while True:
						snake_case  :       Tuple     			=						min(UpperCamelCase__  ,	key=lambda UpperCamelCase__      : self.bpe_ranks.get(UpperCamelCase__  ,	float('''inf'''      )      )      )
						if bigram not in self.bpe_ranks:
								break
						snake_case			,snake_case  :       List[str]     			=						bigram
						snake_case  :       int     			=						[]
						snake_case  :       int     			=						0
						while i < len(UpperCamelCase__      ):
								try:
										snake_case  :       Optional[int]     			=						word.index(UpperCamelCase__  ,	UpperCamelCase__      )
								except ValueError:
										new_word.extend(word[i:]      )
										break
								else:
										new_word.extend(word[i:j]      )
										snake_case  :       Optional[int]     			=						j

								if word[i] == first and i < len(UpperCamelCase__      ) - 1 and word[i + 1] == second:
										new_word.append(first + second      )
										i += 2
								else:
										new_word.append(word[i]      )
										i += 1
						snake_case  :       str     			=						tuple(UpperCamelCase__      )
						snake_case  :       Tuple     			=						new_word
						if len(UpperCamelCase__      ) == 1:
								break
						else:
								snake_case  :       List[str]     			=						get_pairs(UpperCamelCase__      )
				snake_case  :       str     			=						''' '''.join(UpperCamelCase__      )
				snake_case  :       int     			=						word
				return word



		def       lowerCAmelCase				(      self				:			Optional[int]  ,	UpperCamelCase__				:			List[Any]      )						->			List[str]:






				"""simple docstring"""







				snake_case  :       str     			=						[]
				for token in re.findall(self.pat  ,	UpperCamelCase__      ):
						snake_case  :       Optional[int]     			=						''''''.join(
						    self.byte_encoder[b] for b in token.encode('''utf-8'''      )      )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
						bpe_tokens.extend(bpe_token for bpe_token in self.bpe(UpperCamelCase__      ).split(''' '''      )      )
				return bpe_tokens



		def       lowerCAmelCase				(      self				:			int  ,	UpperCamelCase__				:			Any      )						->			Any:






				"""simple docstring"""







				return self.encoder.get(UpperCamelCase__  ,	self.encoder.get(self.unk_token      )      )



		def       lowerCAmelCase				(      self				:			Any  ,	UpperCamelCase__				:			List[Any]      )						->			int:






				"""simple docstring"""







				return self.decoder.get(UpperCamelCase__      )



		def       lowerCAmelCase				(      self				:			Tuple  ,	UpperCamelCase__				:			int      )						->			List[str]:






				"""simple docstring"""







				snake_case  :       Optional[int]     			=						''''''.join(UpperCamelCase__      )
				snake_case  :       int     			=						bytearray([self.byte_decoder[c] for c in text]      ).decode('''utf-8'''  ,	errors=self.errors      )
				return text



		def       lowerCAmelCase				(      self				:			int  ,	UpperCamelCase__				:			str  ,	UpperCamelCase__				:			Optional[str] = None      )						->			Tuple[str]:






				"""simple docstring"""







				if not os.path.isdir(UpperCamelCase__      ):
						logger.error(f'Vocabulary path ({save_directory}) should be a directory'      )
						return
				snake_case  :       int     			=						os.path.join(
				    UpperCamelCase__  ,	(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )
				snake_case  :       List[Any]     			=						os.path.join(
				    UpperCamelCase__  ,	(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']      )

				with open(UpperCamelCase__  ,	'''w'''  ,	encoding='''utf-8'''      ) as f:
						f.write(json.dumps(self.encoder  ,	indent=2  ,	sort_keys=UpperCamelCase__  ,	ensure_ascii=UpperCamelCase__      ) + '''\n'''      )

				snake_case  :       str     			=						0
				with open(UpperCamelCase__  ,	'''w'''  ,	encoding='''utf-8'''      ) as writer:
						writer.write('''#version: 0.2\n'''      )
						for bpe_tokens, token_index in sorted(self.bpe_ranks.items()  ,	key=lambda UpperCamelCase__      : kv[1]      ):
								if index != token_index:
										logger.warning(
										    f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
										    ''' Please check that the tokenizer is not corrupted!'''      )
										snake_case  :       List[str]     			=						token_index
								writer.write(''' '''.join(UpperCamelCase__      ) + '''\n'''      )
								index += 1

				return vocab_file, merge_file



		def       lowerCAmelCase				(      self				:			List[Any]  ,	UpperCamelCase__				:			List[int]  ,	UpperCamelCase__				:			Optional[List[int]] = None  ,	UpperCamelCase__				:			bool = False      )						->			List[int]:






				"""simple docstring"""







				if already_has_special_tokens:
						return super().get_special_tokens_mask(
						    token_ids_a=UpperCamelCase__  ,	token_ids_a=UpperCamelCase__  ,	already_has_special_tokens=UpperCamelCase__      )

				if token_ids_a is None:
						return [1] + ([0] * len(UpperCamelCase__      )) + [1]
				return [1] + ([0] * len(UpperCamelCase__      )) + [1, 1] + ([0] * len(UpperCamelCase__      )) + [1]



		def       lowerCAmelCase				(      self				:			Optional[Any]  ,	UpperCamelCase__				:			List[int]  ,	UpperCamelCase__				:			Optional[List[int]] = None      )						->			List[int]:






				"""simple docstring"""







				snake_case  :       List[Any]     			=						[self.sep_token_id]
				snake_case  :       Tuple     			=						[self.cls_token_id]

				if token_ids_a is None:
						return len(cls + token_ids_a + sep      ) * [0]
				return len(cls + token_ids_a + sep + sep + token_ids_a + sep      ) * [0]



		def       lowerCAmelCase				(      self				:			Optional[Any]  ,	UpperCamelCase__				:			Dict  ,	UpperCamelCase__				:			Any=False  ,	**UpperCamelCase__				:			List[Any]      )						->			int:






				"""simple docstring"""







				snake_case  :       Union[str, Any]     			=						kwargs.pop('''add_prefix_space'''  ,	self.add_prefix_space      )
				if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase__      ) > 0 and not text[0].isspace()):
						snake_case  :       Dict     			=						''' ''' + text
				return (text, kwargs)



		def       lowerCAmelCase				(      self				:			Optional[Any]  ,	UpperCamelCase__				:			List[int]  ,	UpperCamelCase__				:			Optional[List[int]] = None      )						->			str:






				"""simple docstring"""







				return token_ids_a + [self.eos_token_id]



		def       lowerCAmelCase				(      self				:			str  ,	UpperCamelCase__				:			"Conversation"      )						->			List[int]:






				"""simple docstring"""







				snake_case  :       Any     			=						[]
				for is_user, text in conversation.iter_texts():
						if is_user:
								# We need to space prefix as it's being done within blenderbot
								inputs.append(''' ''' + text      )
						else:
								# Generated responses should contain them already.
								inputs.append(UpperCamelCase__      )

				snake_case  :       List[str]     			=						'''  '''.join(UpperCamelCase__      )
				snake_case  :       Tuple     			=						self.encode(UpperCamelCase__      )
				if len(UpperCamelCase__      ) > self.model_max_length:
						snake_case  :       List[Any]     			=						input_ids[-self.model_max_length :]
						logger.warning(f'Trimmed input from conversation as it was longer than {self.model_max_length} tokens.'      )
				return input_ids




'''simple docstring'''
from __future__ import annotations

from collections.abc import Callable
from typing import Any, Generic, TypeVar

lowercase__						       =      TypeVar("T")






class 	snake_case__       (      Generic[T]					):







		"""simple docstring"""

		def __init__(      self				:			str  ,	UpperCamelCase__				:			list[T]  ,	UpperCamelCase__				:			Callable[[T, T], T]      )						->			None:






				"""simple docstring"""







				snake_case  :       Any | T     			=						None

				snake_case  :       int     			=						len(UpperCamelCase__      )
				snake_case  :       list[T]     			=						[any_type for _ in range(self.N      )] + arr
				snake_case  :       Optional[int]     			=						fnc
				self.build()



		def       lowerCAmelCase				(      self				:			Optional[Any]      )						->			None:






				"""simple docstring"""







				for p in range(self.N - 1  ,	0  ,	-1      ):
						snake_case  :       List[Any]     			=						self.fn(self.st[p * 2]  ,	self.st[p * 2 + 1]      )



		def       lowerCAmelCase				(      self				:			List[Any]  ,	UpperCamelCase__				:			int  ,	UpperCamelCase__				:			T      )						->			None:






				"""simple docstring"""







				p += self.N
				snake_case  :       int     			=						v
				while p > 1:
						snake_case  :       List[Any]     			=						p // 2
						snake_case  :       List[Any]     			=						self.fn(self.st[p * 2]  ,	self.st[p * 2 + 1]      )



		def       lowerCAmelCase				(      self				:			Union[str, Any]  ,	UpperCamelCase__				:			int  ,	UpperCamelCase__				:			int      )						->			T | None:  # noqa: E741






				"""simple docstring"""







				snake_case			,snake_case  :       Union[str, Any]     			=						l + self.N, r + self.N

				snake_case  :       T | None     			=						None
				while l <= r:
						if l % 2 == 1:
								snake_case  :       str     			=						self.st[l] if res is None else self.fn(UpperCamelCase__  ,	self.st[l]      )
						if r % 2 == 0:
								snake_case  :       Tuple     			=						self.st[r] if res is None else self.fn(UpperCamelCase__  ,	self.st[r]      )
						snake_case			,snake_case  :       Dict     			=						(l + 1) // 2, (r - 1) // 2
				return res


if __name__ == "__main__":
						from functools import reduce

						lowercase__						       =      [1, 1_0, -2, 9, -3, 8, 4, -7, 5, 6, 1_1, -1_2]

						lowercase__						       =      {
						    0: 7,
						    1: 2,
						    2: 6,
						    3: -1_4,
						    4: 5,
						    5: 4,
						    6: 7,
						    7: -1_0,
						    8: 9,
						    9: 1_0,
						    1_0: 1_2,
						    1_1: 1,
						}

						lowercase__						       =      SegmentTree(test_array, min)
						lowercase__						       =      SegmentTree(test_array, max)
						lowercase__						       =      SegmentTree(test_array, lambda a, b: a + b)




						def    _UpperCamelCase						(       )  ->							None:


								'''simple docstring'''


								for i in range(len(SCREAMING_SNAKE_CASE__			)			):
										for j in range(SCREAMING_SNAKE_CASE__ ,       len(SCREAMING_SNAKE_CASE__			)			):
												snake_case  :       int     			=						reduce(SCREAMING_SNAKE_CASE__ ,       test_array[i : j + 1]			)
												snake_case  :       List[str]     			=						reduce(SCREAMING_SNAKE_CASE__ ,       test_array[i : j + 1]			)
												snake_case  :       Tuple     			=						reduce(lambda SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			: a + b ,       test_array[i : j + 1]			)
												assert min_range == min_segment_tree.query(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)
												assert max_range == max_segment_tree.query(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)
												assert sum_range == sum_segment_tree.query(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)

						test_all_segments()

						for index, value in test_updates.items():
												lowercase__						       =      value
												min_segment_tree.update(index, value)
												max_segment_tree.update(index, value)
												sum_segment_tree.update(index, value)
												test_all_segments()


