

"""simple docstring"""




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


__UpperCAmelCase =				logging.get_logger(__name__)


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

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

__UpperCAmelCase =				{
    'facebook/bart-base': 1024,
    'facebook/bart-large': 1024,
    'facebook/bart-large-mnli': 1024,
    'facebook/bart-large-cnn': 1024,
    'facebook/bart-large-xsum': 1024,
    'yjernite/bart_eli5': 1024,
}







class      __lowercase			(    UpperCamelCase__					):
  snake_case_				       =       VOCAB_FILES_NAMES
  snake_case_				       =       PRETRAINED_VOCAB_FILES_MAP
  snake_case_				       =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  snake_case_				       =       ["""input_ids""", """attention_mask"""]
  snake_case_				       =       BartTokenizer

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






   '''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					,)

   UpperCAmelCase__					:  List[Any]					   =					json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()    )
   if pre_tok_state.get("""add_prefix_space"""					,__A    ) != add_prefix_space:
    UpperCAmelCase__					:  Tuple					   =					getattr(__A					,pre_tok_state.pop("""type"""    )    )
    UpperCAmelCase__					:  str					   =					add_prefix_space
    UpperCAmelCase__					:  List[str]					   =					pre_tok_class(**__A    )

   UpperCAmelCase__					:  str					   =					add_prefix_space

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

    UpperCAmelCase__					:  Any					   =					False

    if state.get("""add_prefix_space"""					,__A    ) != add_prefix_space:
     UpperCAmelCase__					:  Tuple					   =					add_prefix_space
     UpperCAmelCase__					:  int					   =					True

    if state.get("""trim_offsets"""					,__A    ) != trim_offsets:
     UpperCAmelCase__					:  int					   =					trim_offsets
     UpperCAmelCase__					:  Optional[int]					   =					True

    if changes_to_apply:
     UpperCAmelCase__					:  int					   =					getattr(__A					,state.pop("""type"""    )    )
     UpperCAmelCase__					:  Dict					   =					component_class(**__A    )
     setattr(self.backend_tokenizer					,__A					,__A    )

  @property
  def    __lowercase       (  self		:			int    ):






   '''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    __lowercase       (  self		:			List[Any]					,A		:			List[str]    ):






   '''simple docstring'''
   UpperCAmelCase__					:  List[str]					   =					AddedToken(__A					,lstrip=__A					,rstrip=__A    ) if isinstance(__A					,__A    ) else value
   UpperCAmelCase__					:  Any					   =					value

  def    __lowercase       (  self		:			Optional[Any]					,*A		:			Any					,**A		:			Tuple    ):






   '''simple docstring'''
   UpperCAmelCase__					:  List[Any]					   =					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    __lowercase       (  self		:			str					,*A		:			List[Any]					,**A		:			str    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Optional[int]					   =					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    __lowercase       (  self		:			Optional[int]					,A		:			str					,A		:			Optional[str] = None    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Tuple					   =					self._tokenizer.model.save(__A					,name=__A    )
   return tuple(__A    )

  def    __lowercase       (  self		:			List[Any]					,A		:			Dict					,A		:			int=None    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Dict					   =					[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    __lowercase       (  self		:			Any					,A		:			List[int]					,A		:			Optional[List[int]] = None    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Union[str, Any]					   =					[self.sep_token_id]
   UpperCAmelCase__					:  Dict					   =					[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]








"""simple docstring"""




from __future__ import annotations
def   lowerCAmelCase						(					__UpperCamelCase							,    __UpperCamelCase							,    __UpperCamelCase      ):
 '''simple docstring'''





 UpperCAmelCase__					:  Dict					   =					list(range(len(__UpperCamelCase      )      )      )
 UpperCAmelCase__					:  Union[str, Any]					   =					[v / w for v, w in zip(__UpperCamelCase							,    __UpperCamelCase      )]
 index.sort(key=lambda __UpperCamelCase      : ratio[i]							,    reverse=__UpperCamelCase      )

 UpperCAmelCase__					:  float					   =					0
 UpperCAmelCase__					:  list[float]					   =					[0] * len(__UpperCamelCase      )
 for i in index:
  if weight[i] <= capacity:
   UpperCAmelCase__					:  Optional[Any]					   =					1
   max_value += value[i]
   capacity -= weight[i]
  else:
   UpperCAmelCase__					:  Union[str, Any]					   =					capacity / weight[i]
   max_value += value[i] * capacity / weight[i]
   break

 return max_value, fractions


if __name__ == "__main__":
      import doctest

      doctest.testmod()





