

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'''


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


lowerCamelCase__     						=  logging.get_logger(__name__)

lowerCamelCase__     						=  {
    'facebook/convnext-tiny-224': 'https://huggingface.co/facebook/convnext-tiny-224/resolve/main/config.json',
    # See all ConvNeXT models at https://huggingface.co/models?filter=convnext
}






class 						lowerCAmelCase__      (      UpperCAmelCase__     ,							UpperCAmelCase__						):
			lowerCAmelCase			:						Optional[Any]							 =  "convnext"




			def __init__(		self	:  Optional[int]						,	lowerCamelCase__	:  List[str]=3						,	lowerCamelCase__	:  List[str]=4						,	lowerCamelCase__	:  Optional[int]=4						,	lowerCamelCase__	:  Dict=None						,	lowerCamelCase__	:  Tuple=None						,	lowerCamelCase__	:  List[str]="gelu"						,	lowerCamelCase__	:  List[Any]=0.0_2						,	lowerCamelCase__	:  Dict=1E-12						,	lowerCamelCase__	:  Tuple=1E-6						,	lowerCamelCase__	:  Dict=0.0						,	lowerCamelCase__	:  Optional[int]=2_24						,	lowerCamelCase__	:  List[Any]=None						,	lowerCamelCase__	:  Any=None						,	**lowerCamelCase__	:  int						,	) ->str:



					'''simple docstring'''







					super().__init__(**lowerCamelCase__			)

					_UpperCAmelCase		:							Optional[int]             =   num_channels
					_UpperCAmelCase		:							Tuple             =   patch_size
					_UpperCAmelCase		:							Dict             =   num_stages
					_UpperCAmelCase		:							Optional[int]             =   [96, 1_92, 3_84, 7_68] if hidden_sizes is None else hidden_sizes
					_UpperCAmelCase		:							Dict             =   [3, 3, 9, 3] if depths is None else depths
					_UpperCAmelCase		:							Union[str, Any]             =   hidden_act
					_UpperCAmelCase		:							Tuple             =   initializer_range
					_UpperCAmelCase		:							Tuple             =   layer_norm_eps
					_UpperCAmelCase		:							Tuple             =   layer_scale_init_value
					_UpperCAmelCase		:							str             =   drop_path_rate
					_UpperCAmelCase		:							str             =   image_size
					_UpperCAmelCase		:							Tuple             =   ["stem"] + [F"""stage{idx}""" for idx in range(1						,	len(self.depths			) + 1			)]
					_UpperCAmelCase       ,     _UpperCAmelCase		:							str             =   get_aligned_output_features_output_indices(
					    out_features=lowerCamelCase__						,	out_indices=lowerCamelCase__						,	stage_names=self.stage_names			)






class 						lowerCAmelCase__      (      UpperCAmelCase__						):
			lowerCAmelCase			:						str							 =  version.parse("1.11"						)




			@property
			def 				lowerCAmelCase__     (		self	:  Dict			) ->Mapping[str, Mapping[int, str]]:



					'''simple docstring'''







					return OrderedDict(
					    [
					        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
					    ]			)






			@property
			def 				lowerCAmelCase__     (		self	:  str			) ->float:



					'''simple docstring'''







					return 1E-5



