
import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot import BlenderbotTokenizer


if TYPE_CHECKING:
							from transformers.pipelines.conversational import Conversation

lowercase__		:Any			  =   logging.get_logger(__name__)


lowercase__		:Union[str, Any]			  =   {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

lowercase__		:Optional[int]			  =   {
    "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__		:Optional[Any]			  =   {"facebook/blenderbot-3B": 128}







class     lowercase		( a__		):
							lowercase_	:	Union[str, Any]	 =VOCAB_FILES_NAMES
							lowercase_	:	Union[str, Any]	 =PRETRAINED_VOCAB_FILES_MAP
							lowercase_	:	List[Any]	 =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_	:	Optional[Any]	 =['''input_ids''', '''attention_mask''']
							lowercase_	:	str	 =BlenderbotTokenizer




							def __init__(    self       ,A__=None       ,A__=None       ,A__=None       ,A__="replace"       ,A__="<s>"       ,A__="</s>"       ,A__="</s>"       ,A__="<s>"       ,A__="<unk>"       ,A__="<pad>"       ,A__="<mask>"       ,A__=False       ,A__=True       ,**A__       ,):
												super().__init__(
												    _lowerCamelCase       ,_lowerCamelCase       ,tokenizer_file=_lowerCamelCase       ,errors=_lowerCamelCase       ,bos_token=_lowerCamelCase       ,eos_token=_lowerCamelCase       ,sep_token=_lowerCamelCase       ,cls_token=_lowerCamelCase       ,unk_token=_lowerCamelCase       ,pad_token=_lowerCamelCase       ,mask_token=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase       ,trim_offsets=_lowerCamelCase       ,**_lowerCamelCase       ,)

												lowercase						     =						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
												if pre_tok_state.get('''add_prefix_space'''       ,_lowerCamelCase) != add_prefix_space:
																	lowercase						     =						getattr(_lowerCamelCase       ,pre_tok_state.pop('''type'''))
																	lowercase						     =						add_prefix_space
																	lowercase						     =						pre_tok_class(**_lowerCamelCase)

												lowercase						     =						add_prefix_space

												lowercase						     =						'''post_processor'''
												lowercase						     =						getattr(self.backend_tokenizer       ,_lowerCamelCase       ,_lowerCamelCase)
												if tokenizer_component_instance:
																	lowercase						     =						json.loads(tokenizer_component_instance.__getstate__())

																	# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
																	if "sep" in state:
																						lowercase						     =						tuple(state['''sep'''])
																	if "cls" in state:
																						lowercase						     =						tuple(state['''cls'''])

																	lowercase						     =						False

																	if state.get('''add_prefix_space'''       ,_lowerCamelCase) != add_prefix_space:
																						lowercase						     =						add_prefix_space
																						lowercase						     =						True

																	if state.get('''trim_offsets'''       ,_lowerCamelCase) != trim_offsets:
																						lowercase						     =						trim_offsets
																						lowercase						     =						True

																	if changes_to_apply:
																						lowercase						     =						getattr(_lowerCamelCase       ,state.pop('''type'''))
																						lowercase						     =						component_class(**_lowerCamelCase)
																						setattr(self.backend_tokenizer       ,_lowerCamelCase       ,_lowerCamelCase)




							@property
							# Copied from transformers.models.roberta.tokenization_roberta_fast.RobertaTokenizerFast.mask_token with Roberta->Blenderbot, RoBERTa->Blenderbot
							def 			A__				(    self):







												if self._mask_token is None:
																	if self.verbose:
																						logger.error('''Using mask_token, but it is not set yet.''')
																	return None
												return str(self._mask_token)




							@mask_token.setter
							def 			A__				(    self       ,A__):
												lowercase						     =						AddedToken(_lowerCamelCase       ,lstrip=_lowerCamelCase       ,rstrip=_lowerCamelCase) if isinstance(_lowerCamelCase       ,_lowerCamelCase) else value
												lowercase						     =						value




							def 			A__				(    self       ,*A__       ,**A__):
												lowercase						     =						kwargs.get('''is_split_into_words'''       ,_lowerCamelCase)
												assert self.add_prefix_space or not is_split_into_words, (
												    f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
												    "to use it with pretokenized inputs."
												)

												return super()._batch_encode_plus(*_lowerCamelCase       ,**_lowerCamelCase)




							def 			A__				(    self       ,*A__       ,**A__):
												lowercase						     =						kwargs.get('''is_split_into_words'''       ,_lowerCamelCase)

												assert self.add_prefix_space or not is_split_into_words, (
												    f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
												    "to use it with pretokenized inputs."
												)

												return super()._encode_plus(*_lowerCamelCase       ,**_lowerCamelCase)




							def 			A__				(    self       ,A__       ,A__ = None):
												lowercase						     =						self._tokenizer.model.save(_lowerCamelCase       ,name=_lowerCamelCase)
												return tuple(_lowerCamelCase)




							def 			A__				(    self       ,A__       ,A__ = None):
												lowercase						     =						[self.sep_token_id]
												lowercase						     =						[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 			A__				(    self       ,A__       ,A__ = None):
												return token_ids_a + [self.eos_token_id]





							def 			A__				(    self       ,A__):
												lowercase						     =						[]
												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(_lowerCamelCase)

												lowercase						     =						'''  '''.join(_lowerCamelCase)
												lowercase						     =						self.encode(_lowerCamelCase)
												if len(_lowerCamelCase) > self.model_max_length:
																	lowercase						     =						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





lowercase__		:List[str]			  =   6_5521



def 	UpperCamelCase   (							lowerCAmelCase__		):
					'''simple docstring'''
					lowercase						     =						1
					lowercase						     =						0
					for plain_chr in plain_text:
										lowercase						     =						(a + ord(lowerCAmelCase__		)) % MOD_ADLER
										lowercase						     =						(b + a) % MOD_ADLER
					return (b << 16) | a




