
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 :       Dict     					=    logging.get_logger(__name__)

_lowerCamelCase :       Optional[int]     					=    {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

_lowerCamelCase :       int     					=    {
    '''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 :       Optional[int]     					=    {
    '''allenai/longformer-base-4096''': 4_096,
    '''allenai/longformer-large-4096''': 4_096,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4_096,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4_096,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4_096,
}




class      SCREAMING_SNAKE_CASE__  (			UpperCAmelCase      ):





	'''simple docstring'''



	_UpperCAmelCase :	Optional[int]					     =      VOCAB_FILES_NAMES
	_UpperCAmelCase :	Optional[Any]					     =      PRETRAINED_VOCAB_FILES_MAP
	_UpperCAmelCase :	Union[str, Any]					     =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_UpperCAmelCase :	Dict					     =      ["input_ids", "attention_mask"]
	_UpperCAmelCase :	Tuple					     =      LongformerTokenizer



	def __init__(						self			:					List[str]    ,						lowercase			:					List[Any]=None    ,						lowercase			:					int=None    ,						lowercase			:					Dict=None    ,						lowercase			:					int="replace"    ,						lowercase			:					Union[str, Any]="<s>"    ,						lowercase			:					List[str]="</s>"    ,						lowercase			:					str="</s>"    ,						lowercase			:					Dict="<s>"    ,						lowercase			:					Any="<unk>"    ,						lowercase			:					List[Any]="<pad>"    ,						lowercase			:					Any="<mask>"    ,						lowercase			:					Tuple=False    ,						lowercase			:					Any=True    ,						**lowercase			:					Any    ,						):


				'''simple docstring'''


				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    ,						)

				_snake_case						=    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()			)
				if pre_tok_state.get('add_prefix_space'    ,						lowercase			) != add_prefix_space:
							_snake_case						=    getattr(lowercase    ,						pre_tok_state.pop('type'			)			)
							_snake_case						=    add_prefix_space
							_snake_case						=    pre_tok_class(**lowercase			)

				_snake_case						=    add_prefix_space

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

							_snake_case						=    False

							if state.get('add_prefix_space'    ,						lowercase			) != add_prefix_space:
										_snake_case						=    add_prefix_space
										_snake_case						=    True

							if state.get('trim_offsets'    ,						lowercase			) != trim_offsets:
										_snake_case						=    trim_offsets
										_snake_case						=    True

							if changes_to_apply:
										_snake_case						=    getattr(lowercase    ,						state.pop('type'			)			)
										_snake_case						=    component_class(**lowercase			)
										setattr(self.backend_tokenizer    ,						lowercase    ,						lowercase			)



	@property
	def 				A							(						self			:					List[str]			):


				'''simple docstring'''


				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			:					Optional[Any]    ,						lowercase			:					Optional[Any]			):


				'''simple docstring'''


				_snake_case						=    AddedToken(lowercase    ,						lstrip=lowercase    ,						rstrip=lowercase			) if isinstance(lowercase    ,						lowercase			) else value
				_snake_case						=    value



	def 				A							(						self			:					Any    ,						*lowercase			:					Optional[int]    ,						**lowercase			:					Any			):


				'''simple docstring'''


				_snake_case						=    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 				A							(						self			:					List[Any]    ,						*lowercase			:					List[str]    ,						**lowercase			:					Dict			):


				'''simple docstring'''


				_snake_case						=    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 				A							(						self			:					str    ,						lowercase			:					str    ,						lowercase			:					Optional[str] = None			):


				'''simple docstring'''


				_snake_case						=    self._tokenizer.model.save(lowercase    ,						name=lowercase			)
				return tuple(lowercase			)



	def 				A							(						self			:					Union[str, Any]    ,						lowercase			:					Union[str, Any]    ,						lowercase			:					Tuple=None			):


				'''simple docstring'''


				_snake_case						=    [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			:					str    ,						lowercase			:					List[int]    ,						lowercase			:					Optional[List[int]] = None			):


				'''simple docstring'''


				_snake_case						=    [self.sep_token_id]
				_snake_case						=    [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]

def  a_	( __lowercase     :			int				)				->						bool:
			_snake_case						=    9

			while num > 0:
						if num % 10 != digit:
									return False
						num //= 100
						digit -= 1

			return True






def  a_	( )				->						int:
			_snake_case						=    138_902_663

			while not is_square_form(num * num				):
						if num % 10 == 3:
									num -= 6  # (3 - 6) % 10 = 7
						else:
									num -= 4  # (7 - 4) % 10 = 3

			return num * 10


if __name__ == "__main__":
			print(F'{solution() = }')