
"""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


snake_case    =		logging.get_logger(__name__)

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

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'
        ),
    },
}

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      UpperCamelCase	(       __magic_name__      ):

				"""simple docstring"""



				UpperCAmelCase_				:      List[Any]						  =				VOCAB_FILES_NAMES
				UpperCAmelCase_				:      List[Any]						  =				PRETRAINED_VOCAB_FILES_MAP
				UpperCAmelCase_				:      Optional[Any]						  =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCAmelCase_				:      Tuple						  =				["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__		,	)    ->    int:
									"""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__		,	)

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

									SCREAMING_SNAKE_CASE				=	add_prefix_space

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

														SCREAMING_SNAKE_CASE				=	False

														if state.get('add_prefix_space'		,	lowercase__			) != add_prefix_space:
																			SCREAMING_SNAKE_CASE				=	add_prefix_space
																			SCREAMING_SNAKE_CASE				=	True

														if state.get('trim_offsets'		,	lowercase__			) != trim_offsets:
																			SCREAMING_SNAKE_CASE				=	trim_offsets
																			SCREAMING_SNAKE_CASE				=	True

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


				@property
				def 							A					(				self			)    ->    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		,	lowercase__			)    ->    Tuple:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE				=	AddedToken(lowercase__		,	lstrip=lowercase__		,	rstrip=lowercase__			) if isinstance(lowercase__		,	lowercase__			) else value
									SCREAMING_SNAKE_CASE				=	value


				def 							A					(				self		,	*lowercase__		,	**lowercase__			)    ->    BatchEncoding:
									"""simple docstring"""







									SCREAMING_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		,	*lowercase__		,	**lowercase__			)    ->    BatchEncoding:
									"""simple docstring"""







									SCREAMING_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		,	lowercase__		,	lowercase__ = None			)    ->    Tuple[str]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE				=	self._tokenizer.model.save(lowercase__		,	name=lowercase__			)
									return tuple(lowercase__			)


				def 							A					(				self		,	lowercase__		,	lowercase__=None			)    ->    Optional[Any]:
									"""simple docstring"""







									SCREAMING_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		,	lowercase__		,	lowercase__ = None			)    ->    List[int]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE				=	[self.sep_token_id]
									SCREAMING_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]


"""simple docstring"""




from __future__ import annotations

def   UpperCamelCase_  (		SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_			):
					SCREAMING_SNAKE_CASE	,    SCREAMING_SNAKE_CASE				=	m - 1, 0
					while i >= 0 and j < n:
										if key == mat[i][j]:
															print(f'''Key {key} found at row- {i + 1} column- {j + 1}'''			)
															return
										if key < mat[i][j]:
															i -= 1
										else:
															j += 1
					print(f'''Key {key} not found'''			)

def   UpperCamelCase_  (		):
					SCREAMING_SNAKE_CASE				=	[[2, 5, 7], [4, 8, 1_3], [9, 1_1, 1_5], [1_2, 1_7, 2_0]]
					SCREAMING_SNAKE_CASE				=	int(input('Enter the element to be searched:'			)			)
					print(SCREAMING_SNAKE_CASE_			)
					search_in_a_sorted_matrix(SCREAMING_SNAKE_CASE_,     len(SCREAMING_SNAKE_CASE_			),     len(mat[0]			),     SCREAMING_SNAKE_CASE_			)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()
