


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 :					Tuple			=	logging.get_logger(__name__)

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

_SCREAMING_SNAKE_CASE :					List[Any]			=	{
    """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 :					List[str]			=	{
    """allenai/longformer-base-4096""": 4096,
    """allenai/longformer-large-4096""": 4096,
    """allenai/longformer-large-4096-finetuned-triviaqa""": 4096,
    """allenai/longformer-base-4096-extra.pos.embd.only""": 4096,
    """allenai/longformer-large-4096-extra.pos.embd.only""": 4096,
}

class  UpperCamelCase__ ( __SCREAMING_SNAKE_CASE			):
      a__   :     int								=						VOCAB_FILES_NAMES
      a__   :     Tuple								=						PRETRAINED_VOCAB_FILES_MAP
      a__   :     str								=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a__   :     Optional[Any]								=						['input_ids', 'attention_mask']
      a__   :     Dict								=						LongformerTokenizer






      def __init__(     self					:   Union[str, Any],		__lowerCamelCase					:   List[Any]=None,		__lowerCamelCase					:   List[Any]=None,		__lowerCamelCase					:   List[Any]=None,		__lowerCamelCase					:   Union[str, Any]="replace",		__lowerCamelCase					:   Optional[Any]="<s>",		__lowerCamelCase					:   Dict="</s>",		__lowerCamelCase					:   Optional[Any]="</s>",		__lowerCamelCase					:   Optional[int]="<s>",		__lowerCamelCase					:   Dict="<unk>",		__lowerCamelCase					:   int="<pad>",		__lowerCamelCase					:   Optional[Any]="<mask>",		__lowerCamelCase					:   int=False,		__lowerCamelCase					:   int=True,		**__lowerCamelCase					:   List[Any],		)  -> Any:
           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__							:  Any								=     json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()   )
           if pre_tok_state.get('''add_prefix_space''',		UpperCamelCase__   ) != add_prefix_space:
                UpperCamelCase__							:  Optional[int]								=     getattr(UpperCamelCase__,		pre_tok_state.pop('''type'''   )   )
                UpperCamelCase__							:  List[Any]								=     add_prefix_space
                UpperCamelCase__							:  Any								=     pre_tok_class(**UpperCamelCase__   )

           UpperCamelCase__							:  int								=     add_prefix_space

           UpperCamelCase__							:  Union[str, Any]								=     '''post_processor'''
           UpperCamelCase__							:  Dict								=     getattr(self.backend_tokenizer,		UpperCamelCase__,		UpperCamelCase__   )
           if tokenizer_component_instance:
                UpperCamelCase__							:  str								=     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__							:  Dict								=     tuple(state['''sep''']   )
                if "cls" in state:
                     UpperCamelCase__							:  Optional[int]								=     tuple(state['''cls''']   )

                UpperCamelCase__							:  Any								=     False

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

                if state.get('''trim_offsets''',		UpperCamelCase__   ) != trim_offsets:
                     UpperCamelCase__							:  List[Any]								=     trim_offsets
                     UpperCamelCase__							:  Tuple								=     True

                if changes_to_apply:
                     UpperCamelCase__							:  Any								=     getattr(UpperCamelCase__,		state.pop('''type'''   )   )
                     UpperCamelCase__							:  str								=     component_class(**UpperCamelCase__   )
                     setattr(self.backend_tokenizer,		UpperCamelCase__,		UpperCamelCase__   )






      @property
      def 	__lowercase(     self					:   int   )  -> str:







           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					:   Optional[Any],		__lowerCamelCase					:   Union[str, Any]   )  -> List[str]:
           UpperCamelCase__							:  Any								=     AddedToken(UpperCamelCase__,		lstrip=UpperCamelCase__,		rstrip=UpperCamelCase__   ) if isinstance(UpperCamelCase__,		UpperCamelCase__   ) else value
           UpperCamelCase__							:  Optional[Any]								=     value






      def 	__lowercase(     self					:   Tuple,		*__lowerCamelCase					:   Optional[Any],		**__lowerCamelCase					:   List[str]   )  -> BatchEncoding:
           UpperCamelCase__							:  Union[str, 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()._batch_encode_plus(*UpperCamelCase__,		**UpperCamelCase__   )






      def 	__lowercase(     self					:   Dict,		*__lowerCamelCase					:   List[Any],		**__lowerCamelCase					:   int   )  -> BatchEncoding:
           UpperCamelCase__							:  Dict								=     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 	__lowercase(     self					:   Optional[Any],		__lowerCamelCase					:   str,		__lowerCamelCase					:   Optional[str] = None   )  -> Tuple[str]:
           UpperCamelCase__							:  str								=     self._tokenizer.model.save(UpperCamelCase__,		name=UpperCamelCase__   )
           return tuple(UpperCamelCase__   )






      def 	__lowercase(     self					:   Union[str, Any],		__lowerCamelCase					:   int,		__lowerCamelCase					:   List[Any]=None   )  -> str:
           UpperCamelCase__							:  int								=     [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					:   str,		__lowerCamelCase					:   List[int],		__lowerCamelCase					:   Optional[List[int]] = None   )  -> List[int]:
           UpperCamelCase__							:  Union[str, Any]								=     [self.sep_token_id]
           UpperCamelCase__							:  int								=     [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 warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


_SCREAMING_SNAKE_CASE :					List[str]			=	logging.get_logger(__name__)

class  UpperCamelCase__ ( __lowerCamelCase			):






      def __init__(     self					:   List[str],		*__lowerCamelCase					:   Optional[int],		**__lowerCamelCase					:   Dict   )  -> None:
           warnings.warn(
               '''The class MobileNetV1FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
               ''' Please use MobileNetV1ImageProcessor instead.''',		__lowerCamelCase,		)
           super().__init__(*__lowerCamelCase,		**__lowerCamelCase   )




