



a__      :				str   	=			[
    "Audio",
    "Array2D",
    "Array3D",
    "Array4D",
    "Array5D",
    "ClassLabel",
    "Features",
    "Sequence",
    "Value",
    "Image",
    "Translation",
    "TranslationVariableLanguages",
]
from .audio import Audio
from .features import ArrayaD, ArrayaD, ArrayaD, ArrayaD, ClassLabel, Features, Sequence, Value
from .image import Image
from .translation import Translation, TranslationVariableLanguages





import json
from typing import 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_bart import BartTokenizer


a__      :				List[Any]   	=			logging.get_logger(__name__)


a__      :				Optional[int]   	=			{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

# See all BART models at https://huggingface.co/models?filter=bart
a__      :				List[Any]   	=			{
    "vocab_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/vocab.json",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/vocab.json",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json",
    },
    "merges_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/merges.txt",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/merges.txt",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json",
    },
}

a__      :				int   	=			{
    "facebook/bart-base": 10_24,
    "facebook/bart-large": 10_24,
    "facebook/bart-large-mnli": 10_24,
    "facebook/bart-large-cnn": 10_24,
    "facebook/bart-large-xsum": 10_24,
    "yjernite/bart_eli5": 10_24,
}



class       UpperCAmelCase__(							lowerCamelCase	):

   '''simple docstring'''




   A    :  Optional[Any]       				=    VOCAB_FILES_NAMES
   A    :  Dict       				=    PRETRAINED_VOCAB_FILES_MAP
   A    :  str       				=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A    :  int       				=    ["input_ids", "attention_mask"]
   A    :  Any       				=    BartTokenizer


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

         # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
         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
   def 			UpperCAmelCase		(						self  :			Union[str, 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  :			Tuple			,				lowerCAmelCase  :			int)	->				Optional[int]:




         """simple docstring"""

         lowercase__     =  AddedToken(lowerCAmelCase			,				lstrip=lowerCAmelCase			,				rstrip=lowerCAmelCase) if isinstance(lowerCAmelCase			,				lowerCAmelCase) else value
         lowercase__     =  value


   def 			UpperCAmelCase		(						self  :			List[str]			,				*lowerCAmelCase  :			Tuple			,				**lowerCAmelCase  :			Optional[int])	->				BatchEncoding:




         """simple docstring"""

         lowercase__     =  kwargs.get('is_split_into_words'			,				lowerCAmelCase)

         if is_split_into_words and not self.add_prefix_space:
               raise ValueError(
                   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  :			str			,				*lowerCAmelCase  :			Tuple			,				**lowerCAmelCase  :			str)	->				BatchEncoding:




         """simple docstring"""

         lowercase__     =  kwargs.get('is_split_into_words'			,				lowerCAmelCase)

         if is_split_into_words and not self.add_prefix_space:
               raise ValueError(
                   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  :			Any			,				lowerCAmelCase  :			str			,				lowerCAmelCase  :			Optional[int]=None)	->				Tuple:




         """simple docstring"""

         lowercase__     =  [self.bos_token_id] + token_ids_a + [self.eos_token_id]
         if token_ids_a is None:
               return output

         return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]



   def 			UpperCAmelCase		(						self  :			Union[str, 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]
