

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						:Optional[int]      =			logging.get_logger(__name__)

SCREAMING_SNAKE_CASE						:Union[str, Any]      =			{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

SCREAMING_SNAKE_CASE						:Optional[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						:Dict      =			{
    """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 		__magic_name__ (				snake_case							):
     UpperCamelCase_     :int									=	VOCAB_FILES_NAMES
     UpperCamelCase_     :Optional[Any]									=	PRETRAINED_VOCAB_FILES_MAP
     UpperCamelCase_     :str									=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCamelCase_     :Dict									=	["""input_ids""", """attention_mask"""]
     UpperCamelCase_     :List[str]									=	LongformerTokenizer






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

         UpperCamelCase_          =		json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()     )
         if pre_tok_state.get("add_prefix_space"						,		_lowercase     ) != add_prefix_space:
             UpperCamelCase_          =		getattr(_lowercase						,		pre_tok_state.pop("type"     )     )
             UpperCamelCase_          =		add_prefix_space
             UpperCamelCase_          =		pre_tok_class(**_lowercase     )

         UpperCamelCase_          =		add_prefix_space

         UpperCamelCase_          =		"post_processor"
         UpperCamelCase_          =		getattr(self.backend_tokenizer						,		_lowercase						,		_lowercase     )
         if tokenizer_component_instance:
             UpperCamelCase_          =		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(state["sep"]     )
             if "cls" in state:
                 UpperCamelCase_          =		tuple(state["cls"]     )

             UpperCamelCase_          =		False

             if state.get("add_prefix_space"						,		_lowercase     ) != add_prefix_space:
                 UpperCamelCase_          =		add_prefix_space
                 UpperCamelCase_          =		True

             if state.get("trim_offsets"						,		_lowercase     ) != trim_offsets:
                 UpperCamelCase_          =		trim_offsets
                 UpperCamelCase_          =		True

             if changes_to_apply:
                 UpperCamelCase_          =		getattr(_lowercase						,		state.pop("type"     )     )
                 UpperCamelCase_          =		component_class(**_lowercase     )
                 setattr(self.backend_tokenizer						,		_lowercase						,		_lowercase     )






     @property
     def      UpperCAmelCase_							(							self     )->			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      UpperCAmelCase_							(							self						,		_lowercase     )->			Tuple:
         UpperCamelCase_          =		AddedToken(_lowercase						,		lstrip=_lowercase						,		rstrip=_lowercase     ) if isinstance(_lowercase						,		_lowercase     ) else value
         UpperCamelCase_          =		value






     def      UpperCAmelCase_							(							self						,		*_lowercase						,		**_lowercase     )->			BatchEncoding:
         UpperCamelCase_          =		kwargs.get("is_split_into_words"						,		_lowercase     )
         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(*_lowercase						,		**_lowercase     )






     def      UpperCAmelCase_							(							self						,		*_lowercase						,		**_lowercase     )->			BatchEncoding:
         UpperCamelCase_          =		kwargs.get("is_split_into_words"						,		_lowercase     )

         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(*_lowercase						,		**_lowercase     )






     def      UpperCAmelCase_							(							self						,		_lowercase						,		_lowercase = None     )->			Tuple[str]:
         UpperCamelCase_          =		self._tokenizer.model.save(_lowercase						,		name=_lowercase     )
         return tuple(_lowercase     )






     def      UpperCAmelCase_							(							self						,		_lowercase						,		_lowercase=None     )->			Any:
         UpperCamelCase_          =		[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      UpperCAmelCase_							(							self						,		_lowercase						,		_lowercase = None     )->			List[int]:
         UpperCamelCase_          =		[self.sep_token_id]
         UpperCamelCase_          =		[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]



from typing import Callable




def        lowerCAmelCase(	SCREAMING_SNAKE_CASE_       )->		List[Any]:



    """simple docstring"""






    def wrapper(SCREAMING_SNAKE_CASE_       ):
        UpperCamelCase_          =		function_with_docstring.__doc__
        return target_function

    return wrapper
