




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


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


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

# See all BART models at https://huggingface.co/models?filter=bart
lowerCamelCase    :		Union[str, 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",
    },
}

lowerCamelCase    :		int			   =       {
    "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       ):



 '''simple docstring'''


 UpperCamelCase						       =						VOCAB_FILES_NAMES
 UpperCamelCase						       =						PRETRAINED_VOCAB_FILES_MAP
 UpperCamelCase						       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCamelCase						       =						['''input_ids''', '''attention_mask''']
 UpperCamelCase						       =						BartTokenizer

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

       lowerCamelCase_							=   json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()  )
       if pre_tok_state.get('add_prefix_space'						,							A_  ) != add_prefix_space:
             lowerCamelCase_							=   getattr(A_						,							pre_tok_state.pop('type'  )  )
             lowerCamelCase_							=   add_prefix_space
             lowerCamelCase_							=   pre_tok_class(**A_  )

       lowerCamelCase_							=   add_prefix_space

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

             lowerCamelCase_							=   False

             if state.get('add_prefix_space'						,							A_  ) != add_prefix_space:
                   lowerCamelCase_							=   add_prefix_space
                   lowerCamelCase_							=   True

             if state.get('trim_offsets'						,							A_  ) != trim_offsets:
                   lowerCamelCase_							=   trim_offsets
                   lowerCamelCase_							=   True

             if changes_to_apply:
                   lowerCamelCase_							=   getattr(A_						,							state.pop('type'  )  )
                   lowerCamelCase_							=   component_class(**A_  )
                   setattr(self.backend_tokenizer						,							A_						,							A_  )

 @property
 def     a__			(    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     a__			(    self :  Union[str, Any]						,							A_ :  Any  )       ->     int:

       """simple docstring"""






       lowerCamelCase_							=   AddedToken(A_						,							lstrip=A_						,							rstrip=A_  ) if isinstance(A_						,							A_  ) else value
       lowerCamelCase_							=   value

 def     a__			(    self :  List[str]						,							*A_ :  str						,							**A_ :  Any  )       ->     BatchEncoding:

       """simple docstring"""






       lowerCamelCase_							=   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     a__			(    self :  Union[str, Any]						,							*A_ :  Optional[int]						,							**A_ :  Any  )       ->     BatchEncoding:

       """simple docstring"""






       lowerCamelCase_							=   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     a__			(    self :  str						,							A_ :  str						,							A_ :  Optional[str] = None  )       ->     Tuple[str]:

       """simple docstring"""






       lowerCamelCase_							=   self._tokenizer.model.save(A_						,							name=A_  )
       return tuple(A_  )

 def     a__			(    self :  Union[str, Any]						,							A_ :  Optional[Any]						,							A_ :  Any=None  )       ->     str:

       """simple docstring"""






       lowerCamelCase_							=   [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     a__			(    self :  Optional[Any]						,							A_ :  List[int]						,							A_ :  Optional[List[int]] = None  )       ->     List[int]:

       """simple docstring"""






       lowerCamelCase_							=   [self.sep_token_id]
       lowerCamelCase_							=   [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]









import math

def       _SCREAMING_SNAKE_CASE      (							lowercase     :	int					):


      '''simple docstring'''



      lowerCamelCase_							=   0
      lowerCamelCase_							=   0
      while num > 0:
            lowerCamelCase_							=   num % 8
            lowerCamelCase_							=   octal + (remainder * math.floor(math.pow(10     ,							lowercase					)					))
            counter += 1
            lowerCamelCase_							=   math.floor(num / 8					)  # basically /= 8 without remainder if any
            # This formatting removes trailing '.0' from `octal`.
      return f"""0o{int(lowercase					)}"""

def       _SCREAMING_SNAKE_CASE      (							):


      '''simple docstring'''



      print('\n2 in octal is:'					)
      print(decimal_to_octal(2					)					)  # = 2
      print('\n8 in octal is:'					)
      print(decimal_to_octal(8					)					)  # = 10
      print('\n65 in octal is:'					)
      print(decimal_to_octal(65					)					)  # = 101
      print('\n216 in octal is:'					)
      print(decimal_to_octal(2_16					)					)  # = 330
      print('\n512 in octal is:'					)
      print(decimal_to_octal(5_12					)					)  # = 1000
      print('\n'					)


if __name__ == "__main__":
 main()



