




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 (     UpperCAmelCase_  ):
      """simple docstring"""

      UpperCamelCase_	:       Union[str, Any]       	=		VOCAB_FILES_NAMES
      UpperCamelCase_	:       Any       	=		PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase_	:       List[str]       	=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase_	:       Union[str, Any]       	=		['input_ids', 'attention_mask']
      UpperCamelCase_	:       Optional[Any]       	=		BlenderbotTokenizer






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


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


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






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


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


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


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






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


             return token_ids_a + [self.eos_token_id]






      def     UpperCAmelCase_      ( self :     Any				,							lowerCamelCase__ :     List[str]				)    ->						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(_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












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)






