"""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

__lowerCAmelCase     :				int    				=    logging.get_logger(__name__)


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

__lowerCAmelCase     :				Dict    				=    {
    "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"
    },
}

__lowerCAmelCase     :				List[Any]    				=    {"facebook/blenderbot-3B": 1_28}







@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 				_UpperCAmelCase		(							):





		"""simple docstring"""




		lowerCAmelCase__   = (
		    list(range(ord("""!"""  )      ,	ord("""~"""  ) + 1  )  ) + list(range(ord("""¡"""  )      ,	ord("""¬"""  ) + 1  )  ) + list(range(ord("""®"""  )      ,	ord("""ÿ"""  ) + 1  )  )
		)
		lowerCAmelCase__   = bs[:]
		lowerCAmelCase__   = 0
		for b in range(2**8  ):
				if b not in bs:
						bs.append(lowerCamelCase__  )
						cs.append(2**8 + n  )
						n += 1
		lowerCAmelCase__   = [chr(lowerCamelCase__  ) for n in cs]
		return dict(zip(lowerCamelCase__      ,	lowerCamelCase__  )  )







def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = set()
		lowerCAmelCase__   = word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)  )
				lowerCAmelCase__   = char
		return pairs






class    a_   (  __UpperCamelCase      ):
					UpperCamelCase_			:						Tuple      =     VOCAB_FILES_NAMES
					UpperCamelCase_			:						int      =     PRETRAINED_VOCAB_FILES_MAP
					UpperCamelCase_			:						Union[str, Any]      =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					UpperCamelCase_			:						List[Any]      =     ["input_ids", "attention_mask"]




					def __init__(						self    :  Tuple	,    snake_case__    :  List[Any]	,    snake_case__    :  Optional[int]	,    snake_case__    :  Union[str, Any]="replace"	,    snake_case__    :  int="<s>"	,    snake_case__    :  List[str]="</s>"	,    snake_case__    :  Dict="</s>"	,    snake_case__    :  Optional[int]="<s>"	,    snake_case__    :  Union[str, Any]="<unk>"	,    snake_case__    :  Tuple="<pad>"	,    snake_case__    :  Any="<mask>"	,    snake_case__    :  Dict=False	,    **snake_case__    :  Any	,    ):
							lowerCAmelCase__   = AddedToken(snake_case__	,    lstrip=snake_case__	,    rstrip=snake_case__  ) if isinstance(snake_case__	,    snake_case__  ) else bos_token
							lowerCAmelCase__   = AddedToken(snake_case__	,    lstrip=snake_case__	,    rstrip=snake_case__  ) if isinstance(snake_case__	,    snake_case__  ) else eos_token
							lowerCAmelCase__   = AddedToken(snake_case__	,    lstrip=snake_case__	,    rstrip=snake_case__  ) if isinstance(snake_case__	,    snake_case__  ) else sep_token
							lowerCAmelCase__   = AddedToken(snake_case__	,    lstrip=snake_case__	,    rstrip=snake_case__  ) if isinstance(snake_case__	,    snake_case__  ) else cls_token
							lowerCAmelCase__   = AddedToken(snake_case__	,    lstrip=snake_case__	,    rstrip=snake_case__  ) if isinstance(snake_case__	,    snake_case__  ) else unk_token
							lowerCAmelCase__   = AddedToken(snake_case__	,    lstrip=snake_case__	,    rstrip=snake_case__  ) if isinstance(snake_case__	,    snake_case__  ) else pad_token

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

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

							with open(snake_case__	,    encoding="""utf-8"""  ) as vocab_handle:
									lowerCAmelCase__   = json.load(snake_case__  )
							lowerCAmelCase__   = {v: k for k, v in self.encoder.items()}
							lowerCAmelCase__   = errors  # how to handle errors in decoding
							lowerCAmelCase__   = bytes_to_unicode()
							lowerCAmelCase__   = {v: k for k, v in self.byte_encoder.items()}
							with open(snake_case__	,    encoding="""utf-8"""  ) as merges_handle:
									lowerCAmelCase__   = merges_handle.read().split("""\n"""  )[1:-1]
							lowerCAmelCase__   = [tuple(merge.split()  ) for merge in bpe_merges]
							lowerCAmelCase__   = dict(zip(snake_case__	,    range(len(snake_case__  )  )  )  )
							lowerCAmelCase__   = {}
							lowerCAmelCase__   = add_prefix_space

							# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
							lowerCAmelCase__   = 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     _SCREAMING_SNAKE_CASE    (						self    :  str  ):
							return len(self.encoder  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  Optional[Any]  ):
							return dict(self.encoder	,    **self.added_tokens_encoder  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  Union[str, Any]	,    snake_case__    :  Optional[int]  ):
							if token in self.cache:
									return self.cache[token]
							lowerCAmelCase__   = tuple(snake_case__  )
							lowerCAmelCase__   = get_pairs(snake_case__  )

							if not pairs:
									return token

							while True:
									lowerCAmelCase__   = min(snake_case__	,    key=lambda snake_case__  : self.bpe_ranks.get(snake_case__	,    float("""inf"""  )  )  )
									if bigram not in self.bpe_ranks:
											break
									lowerCAmelCase__ ,       lowerCAmelCase__   = bigram
									lowerCAmelCase__   = []
									lowerCAmelCase__   = 0
									while i < len(snake_case__  ):
											try:
													lowerCAmelCase__   = word.index(snake_case__	,    snake_case__  )
											except ValueError:
													new_word.extend(word[i:]  )
													break
											else:
													new_word.extend(word[i:j]  )
													lowerCAmelCase__   = j

											if word[i] == first and i < len(snake_case__  ) - 1 and word[i + 1] == second:
													new_word.append(first + second  )
													i += 2
											else:
													new_word.append(word[i]  )
													i += 1
									lowerCAmelCase__   = tuple(snake_case__  )
									lowerCAmelCase__   = new_word
									if len(snake_case__  ) == 1:
											break
									else:
											lowerCAmelCase__   = get_pairs(snake_case__  )
							lowerCAmelCase__   = """ """.join(snake_case__  )
							lowerCAmelCase__   = word
							return word




					def     _SCREAMING_SNAKE_CASE    (						self    :  Any	,    snake_case__    :  Optional[Any]  ):
							lowerCAmelCase__   = []
							for token in re.findall(self.pat	,    snake_case__  ):
									lowerCAmelCase__   = """""".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(snake_case__  ).split(""" """  )  )
							return bpe_tokens




					def     _SCREAMING_SNAKE_CASE    (						self    :  Dict	,    snake_case__    :  str  ):
							return self.encoder.get(snake_case__	,    self.encoder.get(self.unk_token  )  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  str	,    snake_case__    :  str  ):
							return self.decoder.get(snake_case__  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  Dict	,    snake_case__    :  Any  ):
							lowerCAmelCase__   = """""".join(snake_case__  )
							lowerCAmelCase__   = bytearray([self.byte_decoder[c] for c in text]  ).decode("""utf-8"""	,    errors=self.errors  )
							return text




					def     _SCREAMING_SNAKE_CASE    (						self    :  Optional[Any]	,    snake_case__    :  str	,    snake_case__    :  Optional[str] = None  ):
							if not os.path.isdir(snake_case__  ):
									logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""  )
									return
							lowerCAmelCase__   = os.path.join(
							    snake_case__	,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]  )
							lowerCAmelCase__   = os.path.join(
							    snake_case__	,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]  )

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

							lowerCAmelCase__   = 0
							with open(snake_case__	,    """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 snake_case__  : 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!"""  )
													lowerCAmelCase__   = token_index
											writer.write(""" """.join(snake_case__  ) + """\n"""  )
											index += 1

							return vocab_file, merge_file




					def     _SCREAMING_SNAKE_CASE    (						self    :  List[str]	,    snake_case__    :  List[int]	,    snake_case__    :  Optional[List[int]] = None	,    snake_case__    :  bool = False  ):
							if already_has_special_tokens:
									return super().get_special_tokens_mask(
									    token_ids_a=snake_case__	,    token_ids_a=snake_case__	,    already_has_special_tokens=snake_case__  )

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




					def     _SCREAMING_SNAKE_CASE    (						self    :  Union[str, Any]	,    snake_case__    :  List[int]	,    snake_case__    :  Optional[List[int]] = None  ):
							lowerCAmelCase__   = [self.sep_token_id]
							lowerCAmelCase__   = [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     _SCREAMING_SNAKE_CASE    (						self    :  Any	,    snake_case__    :  str	,    snake_case__    :  Union[str, Any]=False	,    **snake_case__    :  Tuple  ):
							lowerCAmelCase__   = kwargs.pop("""add_prefix_space"""	,    self.add_prefix_space  )
							if (is_split_into_words or add_prefix_space) and (len(snake_case__  ) > 0 and not text[0].isspace()):
									lowerCAmelCase__   = """ """ + text
							return (text, kwargs)




					def     _SCREAMING_SNAKE_CASE    (						self    :  str	,    snake_case__    :  List[int]	,    snake_case__    :  Optional[List[int]] = None  ):
							return token_ids_a + [self.eos_token_id]




					def     _SCREAMING_SNAKE_CASE    (						self    :  List[str]	,    snake_case__    :  "Conversation"  ):
							lowerCAmelCase__   = []
							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(snake_case__  )

							lowerCAmelCase__   = """  """.join(snake_case__  )
							lowerCAmelCase__   = self.encode(snake_case__  )
							if len(snake_case__  ) > self.model_max_length:
									lowerCAmelCase__   = 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 typing import Any

class    a_   :




					def __init__(						self    :  Union[str, Any]	,    snake_case__    :  int = 6  ):
							lowerCAmelCase__   = None
							lowerCAmelCase__   = None
							self.create_linked_list(snake_case__  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  Tuple	,    snake_case__    :  int  ):
							lowerCAmelCase__   = Node()
							lowerCAmelCase__   = current_node
							lowerCAmelCase__   = current_node
							lowerCAmelCase__   = current_node
							for _ in range(1	,    snake_case__  ):
									lowerCAmelCase__   = Node()
									lowerCAmelCase__   = current_node
									lowerCAmelCase__   = previous_node
									lowerCAmelCase__   = current_node
							lowerCAmelCase__   = self.front
							lowerCAmelCase__   = previous_node




					def     _SCREAMING_SNAKE_CASE    (						self    :  Any  ):
							return (
							    self.front == self.rear
							    and self.front is not None
							    and self.front.data is None
							)




					def     _SCREAMING_SNAKE_CASE    (						self    :  Any  ):
							self.check_can_perform_operation()
							return self.front.data if self.front else None




					def     _SCREAMING_SNAKE_CASE    (						self    :  Dict	,    snake_case__    :  Any  ):
							if self.rear is None:
									return

							self.check_is_full()
							if not self.is_empty():
									lowerCAmelCase__   = self.rear.next
							if self.rear:
									lowerCAmelCase__   = data




					def     _SCREAMING_SNAKE_CASE    (						self    :  Any  ):
							self.check_can_perform_operation()
							if self.rear is None or self.front is None:
									return None
							if self.front == self.rear:
									lowerCAmelCase__   = self.front.data
									lowerCAmelCase__   = None
									return data

							lowerCAmelCase__   = self.front
							lowerCAmelCase__   = old_front.next
							lowerCAmelCase__   = old_front.data
							lowerCAmelCase__   = None
							return data




					def     _SCREAMING_SNAKE_CASE    (						self    :  Union[str, Any]  ):
							if self.is_empty():
									raise Exception("""Empty Queue"""  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  Optional[Any]  ):
							if self.rear and self.rear.next == self.front:
									raise Exception("""Full Queue"""  )

class    a_   :




					def __init__(						self    :  Union[str, Any]  ):
							lowerCAmelCase__   = None
							lowerCAmelCase__   = None
							lowerCAmelCase__   = None


if __name__ == "__main__":
			import doctest

			doctest.testmod()




