

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_longformer import LongformerTokenizer


_SCREAMING_SNAKE_CASE							 =			logging.get_logger(__name__)

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

_SCREAMING_SNAKE_CASE							 =			{
    '''vocab_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''allenai/longformer-base-4096''': (
            '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
    },
}

_SCREAMING_SNAKE_CASE							 =			{
    '''allenai/longformer-base-4096''': 4_0_9_6,
    '''allenai/longformer-large-4096''': 4_0_9_6,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4_0_9_6,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4_0_9_6,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4_0_9_6,
}


class      lowerCamelCase_ (			_lowerCAmelCase):
 _lowerCAmelCase									=	VOCAB_FILES_NAMES
 _lowerCAmelCase									=	PRETRAINED_VOCAB_FILES_MAP
 _lowerCAmelCase									=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCAmelCase									=	['''input_ids''', '''attention_mask''']
 _lowerCAmelCase									=	LongformerTokenizer




 def __init__(			self  ,  _UpperCAmelCase=None  ,  _UpperCAmelCase=None  ,  _UpperCAmelCase=None  ,  _UpperCAmelCase="replace"  ,  _UpperCAmelCase="<s>"  ,  _UpperCAmelCase="</s>"  ,  _UpperCAmelCase="</s>"  ,  _UpperCAmelCase="<s>"  ,  _UpperCAmelCase="<unk>"  ,  _UpperCAmelCase="<pad>"  ,  _UpperCAmelCase="<mask>"  ,  _UpperCAmelCase=False  ,  _UpperCAmelCase=True  ,  **_UpperCAmelCase  ,  ):
   super().__init__(
       _UpperCAmelCase  ,  _UpperCAmelCase  ,  tokenizer_file=_UpperCAmelCase  ,  errors=_UpperCAmelCase  ,  bos_token=_UpperCAmelCase  ,  eos_token=_UpperCAmelCase  ,  sep_token=_UpperCAmelCase  ,  cls_token=_UpperCAmelCase  ,  unk_token=_UpperCAmelCase  ,  pad_token=_UpperCAmelCase  ,  mask_token=_UpperCAmelCase  ,  add_prefix_space=_UpperCAmelCase  ,  trim_offsets=_UpperCAmelCase  ,  **_UpperCAmelCase  ,  )

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

   __UpperCAmelCase	:  int		=     add_prefix_space

   __UpperCAmelCase	:  List[Any]		=     'post_processor'
   __UpperCAmelCase	:  int		=     getattr(self.backend_tokenizer  ,  _UpperCAmelCase  ,  _UpperCAmelCase							)
   if tokenizer_component_instance:
     __UpperCAmelCase	:  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:
       __UpperCAmelCase	:  List[Any]		=     tuple(state['sep']							)
     if "cls" in state:
       __UpperCAmelCase	:  int		=     tuple(state['cls']							)

     __UpperCAmelCase	:  Optional[int]		=     False

     if state.get('add_prefix_space'  ,  _UpperCAmelCase							) != add_prefix_space:
       __UpperCAmelCase	:  List[Any]		=     add_prefix_space
       __UpperCAmelCase	:  Optional[int]		=     True

     if state.get('trim_offsets'  ,  _UpperCAmelCase							) != trim_offsets:
       __UpperCAmelCase	:  Optional[Any]		=     trim_offsets
       __UpperCAmelCase	:  List[str]		=     True

     if changes_to_apply:
       __UpperCAmelCase	:  Union[str, Any]		=     getattr(_UpperCAmelCase  ,  state.pop('type'							)							)
       __UpperCAmelCase	:  List[Any]		=     component_class(**_UpperCAmelCase							)
       setattr(self.backend_tokenizer  ,  _UpperCAmelCase  ,  _UpperCAmelCase							)




 @property
 def     a       (			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     a       (			self  ,  _UpperCAmelCase							):
   __UpperCAmelCase	:  List[str]		=     AddedToken(_UpperCAmelCase  ,  lstrip=_UpperCAmelCase  ,  rstrip=_UpperCAmelCase							) if isinstance(_UpperCAmelCase  ,  _UpperCAmelCase							) else value
   __UpperCAmelCase	:  int		=     value




 def     a       (			self  ,  *_UpperCAmelCase  ,  **_UpperCAmelCase							):
   __UpperCAmelCase	:  Tuple		=     kwargs.get('is_split_into_words'  ,  _UpperCAmelCase							)
   assert self.add_prefix_space or not is_split_into_words, (
       F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
       "to use it with pretokenized inputs."
   )

   return super()._batch_encode_plus(*_UpperCAmelCase  ,  **_UpperCAmelCase							)




 def     a       (			self  ,  *_UpperCAmelCase  ,  **_UpperCAmelCase							):
   __UpperCAmelCase	:  Optional[Any]		=     kwargs.get('is_split_into_words'  ,  _UpperCAmelCase							)

   assert self.add_prefix_space or not is_split_into_words, (
       F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
       "to use it with pretokenized inputs."
   )

   return super()._encode_plus(*_UpperCAmelCase  ,  **_UpperCAmelCase							)




 def     a       (			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase = None							):
   __UpperCAmelCase	:  Optional[Any]		=     self._tokenizer.model.save(_UpperCAmelCase  ,  name=_UpperCAmelCase							)
   return tuple(_UpperCAmelCase							)




 def     a       (			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase=None							):
   __UpperCAmelCase	:  List[Any]		=     [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  ,  _UpperCAmelCase  ,  _UpperCAmelCase = None							):
   __UpperCAmelCase	:  Optional[int]		=     [self.sep_token_id]
   __UpperCAmelCase	:  Tuple		=     [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"""
import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


_SCREAMING_SNAKE_CASE						 =     logging.get_logger(__name__)







class  _SCREAMING_SNAKE_CASE       (     SCREAMING_SNAKE_CASE__				):



 '''simple docstring'''





 def __init__(self					,     *lowerCAmelCase__					,     **lowerCAmelCase__   ):

  '''simple docstring'''







  warnings.warn(
      "The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
      " Please use LayoutLMv3ImageProcessor instead."					,     lowerCAmelCase__					,     )
  super().__init__(*lowerCAmelCase__					,     **lowerCAmelCase__   )



