





'''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_longformer import LongformerTokenizer


_lowerCamelCase					:						str					     =							logging.get_logger(__name__)

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

_lowerCamelCase					:						List[str]					     =							{
    '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'
        ),
    },
}

_lowerCamelCase					:						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 				__UpperCAmelCase	(							A__    ):







		'''simple docstring'''







		__lowerCAmelCase								=     VOCAB_FILES_NAMES
		__lowerCAmelCase								=     PRETRAINED_VOCAB_FILES_MAP
		__lowerCAmelCase								=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__lowerCAmelCase								=     ['''input_ids''', '''attention_mask''']
		__lowerCAmelCase								=     LongformerTokenizer







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

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

			A					=   add_prefix_space

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

				A					=   False

				if state.get("""add_prefix_space"""   ,   _lowerCAmelCase   ) != add_prefix_space:
					A					=   add_prefix_space
					A					=   True

				if state.get("""trim_offsets"""   ,   _lowerCAmelCase   ) != trim_offsets:
					A					=   trim_offsets
					A					=   True

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







		@property
		def 							A  (self    :   Tuple   ):
			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    :   Any   ,   _lowerCAmelCase    :   Optional[int]   ):
			A					=   AddedToken(_lowerCAmelCase   ,   lstrip=_lowerCAmelCase   ,   rstrip=_lowerCAmelCase   ) if isinstance(_lowerCAmelCase   ,   _lowerCAmelCase   ) else value
			A					=   value







		def 							A  (self    :   str   ,   *_lowerCAmelCase    :   Union[str, Any]   ,   **_lowerCAmelCase    :   Dict   ):
			A					=   kwargs.get("""is_split_into_words"""   ,   _lowerCAmelCase   )
			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(*_lowerCAmelCase   ,   **_lowerCAmelCase   )







		def 							A  (self    :   Tuple   ,   *_lowerCAmelCase    :   Any   ,   **_lowerCAmelCase    :   Optional[Any]   ):
			A					=   kwargs.get("""is_split_into_words"""   ,   _lowerCAmelCase   )

			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(*_lowerCAmelCase   ,   **_lowerCAmelCase   )







		def 							A  (self    :   Optional[int]   ,   _lowerCAmelCase    :   str   ,   _lowerCAmelCase    :   Optional[str] = None   ):
			A					=   self._tokenizer.model.save(_lowerCAmelCase   ,   name=_lowerCAmelCase   )
			return tuple(_lowerCAmelCase   )







		def 							A  (self    :   int   ,   _lowerCAmelCase    :   List[str]   ,   _lowerCAmelCase    :   Optional[Any]=None   ):
			A					=   [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    :   Tuple   ,   _lowerCAmelCase    :   List[int]   ,   _lowerCAmelCase    :   Optional[List[int]] = None   ):
			A					=   [self.sep_token_id]
			A					=   [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 math import pi




def  __a			(  UpperCAmelCase     )   ->float:



	"""simple docstring"""







	return degree / (180 / pi)


if __name__ == "__main__":
				from doctest import testmod

				testmod()

