



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_						=       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""": 128}
class 			_snake_case     (   lowercase__):
				UpperCamelCase__			:   Any       						=VOCAB_FILES_NAMES
				UpperCamelCase__			:   Tuple       						=PRETRAINED_VOCAB_FILES_MAP
				UpperCamelCase__			:   Optional[int]       						=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCamelCase__			:   str       						=["""input_ids""", """attention_mask"""]
				UpperCamelCase__			:   int       						=BlenderbotTokenizer




				def __init__(  self   :  Any,   __lowercase   :  Optional[Any]=None,   __lowercase   :  int=None,   __lowercase   :  Optional[Any]=None,   __lowercase   :  Union[str, Any]="replace",   __lowercase   :  Optional[Any]="<s>",   __lowercase   :  List[str]="</s>",   __lowercase   :  int="</s>",   __lowercase   :  Optional[int]="<s>",   __lowercase   :  Any="<unk>",   __lowercase   :  int="<pad>",   __lowercase   :  Any="<mask>",   __lowercase   :  List[str]=False,   __lowercase   :  str=True,   **__lowercase   :  Optional[int],   ):
							super().__init__(
							    __lowercase,   __lowercase,   tokenizer_file=__lowercase,   errors=__lowercase,   bos_token=__lowercase,   eos_token=__lowercase,   sep_token=__lowercase,   cls_token=__lowercase,   unk_token=__lowercase,   pad_token=__lowercase,   mask_token=__lowercase,   add_prefix_space=__lowercase,   trim_offsets=__lowercase,   **__lowercase,   )

							lowercase__   					=			json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()  )
							if pre_tok_state.get("add_prefix_space",   __lowercase  ) != add_prefix_space:
										lowercase__   					=			getattr(__lowercase,   pre_tok_state.pop("type"  )  )
										lowercase__   					=			add_prefix_space
										lowercase__   					=			pre_tok_class(**__lowercase  )

							lowercase__   					=			add_prefix_space

							lowercase__   					=			"post_processor"
							lowercase__   					=			getattr(self.backend_tokenizer,   __lowercase,   __lowercase  )
							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",   __lowercase  ) != add_prefix_space:
													lowercase__   					=			add_prefix_space
													lowercase__   					=			True

										if state.get("trim_offsets",   __lowercase  ) != trim_offsets:
													lowercase__   					=			trim_offsets
													lowercase__   					=			True

										if changes_to_apply:
													lowercase__   					=			getattr(__lowercase,   state.pop("type"  )  )
													lowercase__   					=			component_class(**__lowercase  )
													setattr(self.backend_tokenizer,   __lowercase,   __lowercase  )




				@property
				# Copied from transformers.models.roberta.tokenization_roberta_fast.RobertaTokenizerFast.mask_token with Roberta->Blenderbot, RoBERTa->Blenderbot
				def 							A__ (  self   :  int  ):
							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   :  Any,   __lowercase   :  Union[str, Any]  ):
							lowercase__   					=			AddedToken(__lowercase,   lstrip=__lowercase,   rstrip=__lowercase  ) if isinstance(__lowercase,   __lowercase  ) else value
							lowercase__   					=			value




				def 							A__ (  self   :  Any,   *__lowercase   :  List[str],   **__lowercase   :  List[str]  ):
							lowercase__   					=			kwargs.get("is_split_into_words",   __lowercase  )
							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(*__lowercase,   **__lowercase  )




				def 							A__ (  self   :  int,   *__lowercase   :  Optional[Any],   **__lowercase   :  Any  ):
							lowercase__   					=			kwargs.get("is_split_into_words",   __lowercase  )

							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(*__lowercase,   **__lowercase  )




				def 							A__ (  self   :  Any,   __lowercase   :  str,   __lowercase   :  Optional[str] = None  ):
							lowercase__   					=			self._tokenizer.model.save(__lowercase,   name=__lowercase  )
							return tuple(__lowercase  )




				def 							A__ (  self   :  List[str],   __lowercase   :  List[int],   __lowercase   :  Optional[List[int]] = 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   :  Optional[Any],   __lowercase   :  List[int],   __lowercase   :  Optional[List[int]] = None  ):
							return token_ids_a + [self.eos_token_id]




				def 							A__ (  self   :  List[Any],   __lowercase   :  "Conversation"  ):
							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(__lowercase  )

							lowercase__   					=			"  ".join(__lowercase  )
							lowercase__   					=			self.encode(__lowercase  )
							if len(__lowercase  ) > 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









def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			int(SCREAMING_SNAKE_CASE_					)
			if decimal in (0, 1):  # Exit cases for the recursion
						return str(SCREAMING_SNAKE_CASE_					)
			lowercase__					,    lowercase__   					=			divmod(SCREAMING_SNAKE_CASE_  ,					2					)
			return binary_recursive(SCREAMING_SNAKE_CASE_					) + str(SCREAMING_SNAKE_CASE_					)



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			str(SCREAMING_SNAKE_CASE_					).strip()
			if not number:
						raise ValueError("No input value was provided"					)
			lowercase__   					=			"-" if number.startswith("-"					) else ""
			lowercase__   					=			number.lstrip("-"					)
			if not number.isnumeric():
						raise ValueError("Input value is not an integer"					)
			return f'''{negative}0b{binary_recursive(int(SCREAMING_SNAKE_CASE_					)					)}'''


if __name__ == "__main__":
							from doctest import testmod

							testmod()




