

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


snake_case_			  = logging.get_logger(__name__)


snake_case_			  = {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all BART models at https://huggingface.co/models?filter=bart
snake_case_			  = {
    '''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''',
    },
}

snake_case_			  = {
    '''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       SCREAMING_SNAKE_CASE__					(__snake_case     ):
    __lowerCamelCase						:       Optional[Any]														=     VOCAB_FILES_NAMES
    __lowerCamelCase						:       List[Any]														=     PRETRAINED_VOCAB_FILES_MAP
    __lowerCamelCase						:       Dict														=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowerCamelCase						:       List[Any]														=     ["""input_ids""", """attention_mask"""]
    __lowerCamelCase						:       Union[str, Any]														=     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						,   ):
         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						,   )

         lowercase__    :   Any      =       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
         if pre_tok_state.get('add_prefix_space'						,   a) != add_prefix_space:
              lowercase__    :   str      =       getattr(a						,   pre_tok_state.pop('type'))
              lowercase__    :   Optional[Any]      =       add_prefix_space
              lowercase__    :   List[Any]      =       pre_tok_class(**a)

         lowercase__    :   List[Any]      =       add_prefix_space

         # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
         lowercase__    :   List[str]      =       'post_processor'
         lowercase__    :   List[Any]      =       getattr(self.backend_tokenizer						,   a						,   a)
         if tokenizer_component_instance:
              lowercase__    :   Tuple      =       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__    :   str      =       tuple(state['sep'])
              if "cls" in state:
                   lowercase__    :   Any      =       tuple(state['cls'])

              lowercase__    :   Any      =       False

              if state.get('add_prefix_space'						,   a) != add_prefix_space:
                   lowercase__    :   List[Any]      =       add_prefix_space
                   lowercase__    :   Union[str, Any]      =       True

              if state.get('trim_offsets'						,   a) != trim_offsets:
                   lowercase__    :   Optional[int]      =       trim_offsets
                   lowercase__    :   int      =       True

              if changes_to_apply:
                   lowercase__    :   str      =       getattr(a						,   state.pop('type'))
                   lowercase__    :   Optional[Any]      =       component_class(**a)
                   setattr(self.backend_tokenizer						,   a						,   a)





    @property
    def       snake_case_				(      self):
         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       snake_case_				(      self						,   a):
         lowercase__    :   Tuple      =       AddedToken(a						,   lstrip=a						,   rstrip=a) if isinstance(a						,   a) else value
         lowercase__    :   Union[str, Any]      =       value





    def       snake_case_				(      self						,   *a						,   **a):
         lowercase__    :   List[str]      =       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       snake_case_				(      self						,   *a						,   **a):
         lowercase__    :   str      =       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       snake_case_				(      self						,   a						,   a = None):
         lowercase__    :   Any      =       self._tokenizer.model.save(a						,   name=a)
         return tuple(a)





    def       snake_case_				(      self						,   a						,   a=None):
         lowercase__    :   str      =       [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       snake_case_				(      self						,   a						,   a = None):
         lowercase__    :   List[str]      =       [self.sep_token_id]
         lowercase__    :   List[Any]      =       [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 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str			):



     '''simple docstring'''





     if not all(char in '01' for char in bin_string			):
          raise ValueError('Non-binary value was passed to the function'			)
     if not bin_string:
          raise ValueError('Empty string was passed to the function'			)
     lowercase__    :   Union[str, Any]      =       ''
     while len(SCREAMING_SNAKE_CASE_			) % 3 != 0:
          lowercase__    :   List[str]      =       '0' + bin_string
     lowercase__    :   Any      =       [
         bin_string[index : index + 3]
         for index in range(len(SCREAMING_SNAKE_CASE_			)			)
         if index % 3 == 0
     ]
     for bin_group in bin_string_in_3_list:
          lowercase__    :   str      =       0
          for index, val in enumerate(SCREAMING_SNAKE_CASE_			):
               oct_val += int(2 ** (2 - index) * int(SCREAMING_SNAKE_CASE_			)			)
          oct_string += str(SCREAMING_SNAKE_CASE_			)
     return oct_string


if __name__ == "__main__":
       from doctest import testmod

       testmod()

