




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

UpperCAmelCase__				     = logging.get_logger(__name__)


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

UpperCAmelCase__				     = {
    "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"
    },
}

UpperCAmelCase__				     = {"facebook/blenderbot-3B": 128}







class a (     __SCREAMING_SNAKE_CASE  ):
						"""simple docstring"""

						UpperCamelCase_	:       Dict       	=		VOCAB_FILES_NAMES
						UpperCamelCase_	:       Dict       	=		PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase_	:       Dict       	=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase_	:       Tuple       	=		['input_ids', 'attention_mask']
						UpperCamelCase_	:       int       	=		BlenderbotTokenizer






						def __init__( self :     Union[str, Any]				,							lowerCamelCase__ :     List[Any]=None				,							lowerCamelCase__ :     Any=None				,							lowerCamelCase__ :     Any=None				,							lowerCamelCase__ :     Optional[Any]="replace"				,							lowerCamelCase__ :     str="<s>"				,							lowerCamelCase__ :     Optional[int]="</s>"				,							lowerCamelCase__ :     List[Any]="</s>"				,							lowerCamelCase__ :     Any="<s>"				,							lowerCamelCase__ :     List[Any]="<unk>"				,							lowerCamelCase__ :     List[Any]="<pad>"				,							lowerCamelCase__ :     str="<mask>"				,							lowerCamelCase__ :     Optional[int]=False				,							lowerCamelCase__ :     List[Any]=True				,							**lowerCamelCase__ :     Optional[int]				,							)    ->						List[Any]:
													"""simple docstring"""


													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     UpperCAmelCase_      ( self :     List[Any]				)    ->						str:
													"""simple docstring"""


													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     UpperCAmelCase_      ( self :     List[Any]				,							lowerCamelCase__ :     Tuple				)    ->						Tuple:
													"""simple docstring"""


													__lowercase      =    AddedToken(lowerCamelCase__				,							lstrip=lowerCamelCase__				,							rstrip=lowerCamelCase__				) if isinstance(lowerCamelCase__				,							lowerCamelCase__				) else value
													__lowercase      =    value






						def     UpperCAmelCase_      ( self :     Any				,							*lowerCamelCase__ :     Tuple				,							**lowerCamelCase__ :     List[str]				)    ->						BatchEncoding:
													"""simple docstring"""


													__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     UpperCAmelCase_      ( self :     Dict				,							*lowerCamelCase__ :     List[str]				,							**lowerCamelCase__ :     Optional[int]				)    ->						BatchEncoding:
													"""simple docstring"""


													__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     UpperCAmelCase_      ( self :     Dict				,							lowerCamelCase__ :     str				,							lowerCamelCase__ :     Optional[str] = None				)    ->						Tuple[str]:
													"""simple docstring"""


													__lowercase      =    self._tokenizer.model.save(lowerCamelCase__				,							name=lowerCamelCase__				)
													return tuple(lowerCamelCase__				)






						def     UpperCAmelCase_      ( self :     Optional[Any]				,							lowerCamelCase__ :     List[int]				,							lowerCamelCase__ :     Optional[List[int]] = None				)    ->						List[int]:
													"""simple docstring"""


													__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     UpperCAmelCase_      ( self :     Dict				,							lowerCamelCase__ :     List[int]				,							lowerCamelCase__ :     Optional[List[int]] = None				)    ->						Optional[int]:
													"""simple docstring"""


													return token_ids_a + [self.eos_token_id]






						def     UpperCAmelCase_      ( self :     Dict				,							lowerCamelCase__ :     "Conversation"				)    ->						List[int]:
													"""simple docstring"""


													__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












import argparse


UpperCAmelCase__				     = "docs/source/_static/js/custom.js"







def 		_A(       UpperCamelCase__							:			Optional[int]				)    -> Optional[int]:
							'''simple docstring'''


							with open(UpperCamelCase__				,       encoding='''utf-8'''				,       newline='''\n'''				) as f:
														__lowercase      =    f.readlines()
							__lowercase      =    0

							# First let's put the right version
							while not lines[index].startswith('''const stableVersion ='''				):
														index += 1
							__lowercase      =    F'const stableVersion = "v{version}"\n'

							# Then update the dictionary
							while not lines[index].startswith('''const versionMapping = {'''				):
														index += 1

							# We go until the end
							while not lines[index].startswith('''}'''				):
														index += 1
							# We add the new version at the end
							lines[index - 1] += F'    "v{version}": "v{version}",\n'

							with open(UpperCamelCase__				,       '''w'''				,       encoding='''utf-8'''				,       newline='''\n'''				) as f:
														f.writelines(UpperCamelCase__				)


if __name__ == "__main__":
			UpperCAmelCase__				     = argparse.ArgumentParser()
			parser.add_argument("--version", help="Release version.")
			UpperCAmelCase__				     = parser.parse_args()
			update_custom_js(args.version)






