




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


lowercase__				:      Dict	   = logging.get_logger(__name__)


lowercase__				:      int	   = {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

# See all BART models at https://huggingface.co/models?filter=bart
lowercase__				:      List[str]	   = {
    "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",
    },
}

lowercase__				:      Any	   = {
    "facebook/bart-base": 1_024,
    "facebook/bart-large": 1_024,
    "facebook/bart-large-mnli": 1_024,
    "facebook/bart-large-cnn": 1_024,
    "facebook/bart-large-xsum": 1_024,
    "yjernite/bart_eli5": 1_024,
}




class       a__	( UpperCamelCase__				):
     a		:      int		 =     VOCAB_FILES_NAMES
     a		:      Union[str, Any]		 =     PRETRAINED_VOCAB_FILES_MAP
     a		:      List[Any]		 =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     a		:      Union[str, Any]		 =     ["""input_ids""", """attention_mask"""]
     a		:      List[str]		 =     BartTokenizer







     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  ,		)  ->   Any:



          '''simple docstring'''



          super().__init__(
              A  ,		A  ,		tokenizer_file=A  ,		errors=A  ,		bos_token=A  ,		eos_token=A  ,		sep_token=A  ,		cls_token=A  ,		unk_token=A  ,		pad_token=A  ,		mask_token=A  ,		add_prefix_space=A  ,		trim_offsets=A  ,		**A  ,		)

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

          a     =				add_prefix_space

          # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
          a     =				"post_processor"
          a     =				getattr(self.backend_tokenizer  ,		A  ,		A			)
          if tokenizer_component_instance:
               a     =				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:
                    a     =				tuple(state["sep"]			)
               if "cls" in state:
                    a     =				tuple(state["cls"]			)

               a     =				False

               if state.get("add_prefix_space"  ,		A			) != add_prefix_space:
                    a     =				add_prefix_space
                    a     =				True

               if state.get("trim_offsets"  ,		A			) != trim_offsets:
                    a     =				trim_offsets
                    a     =				True

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







     @property
     def       lowerCAmelCase_    (     self			)  ->   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       lowerCAmelCase_    (     self  ,		A			)  ->   List[Any]:



          '''simple docstring'''



          a     =				AddedToken(A  ,		lstrip=A  ,		rstrip=A			) if isinstance(A  ,		A			) else value
          a     =				value







     def       lowerCAmelCase_    (     self  ,		*A  ,		**A			)  ->   BatchEncoding:



          '''simple docstring'''



          a     =				kwargs.get("is_split_into_words"  ,		A			)

          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(*A  ,		**A			)







     def       lowerCAmelCase_    (     self  ,		*A  ,		**A			)  ->   BatchEncoding:



          '''simple docstring'''



          a     =				kwargs.get("is_split_into_words"  ,		A			)

          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(*A  ,		**A			)







     def       lowerCAmelCase_    (     self  ,		A  ,		A = None			)  ->   Tuple[str]:



          '''simple docstring'''



          a     =				self._tokenizer.model.save(A  ,		name=A			)
          return tuple(A			)







     def       lowerCAmelCase_    (     self  ,		A  ,		A=None			)  ->   int:



          '''simple docstring'''



          a     =				[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       lowerCAmelCase_    (     self  ,		A  ,		A = None			)  ->   List[int]:



          '''simple docstring'''



          a     =				[self.sep_token_id]
          a     =				[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]







lowercase__				:      Optional[int]	   = [
    "DownloadConfig",
    "DownloadManager",
    "DownloadMode",
    "StreamingDownloadManager",
]

from .download_config import DownloadConfig
from .download_manager import DownloadManager, DownloadMode
from .streaming_download_manager import StreamingDownloadManager

