
"""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


_lowercase											=			logging.get_logger(__name__)

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

_lowercase											=			{
    '''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'''
        ),
    },
}

_lowercase											=			{
    '''allenai/longformer-base-4096''': 40_96,
    '''allenai/longformer-large-4096''': 40_96,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 40_96,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 40_96,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 40_96,
}







class 			lowerCAmelCase_			( _lowercase      ):



						'''simple docstring'''


						_lowerCamelCase:      List[str] =      VOCAB_FILES_NAMES
						_lowerCamelCase:      Tuple =      PRETRAINED_VOCAB_FILES_MAP
						_lowerCamelCase:      Dict =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_lowerCamelCase:      Any =      ['''input_ids''', '''attention_mask''']
						_lowerCamelCase:      Optional[Any] =      LongformerTokenizer


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

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

							A  				=				add_prefix_space

							A  				=				'post_processor'
							A  				=				getattr(self.backend_tokenizer					,A_					,A_ )
							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'					,A_ ) != add_prefix_space:
									A  				=				add_prefix_space
									A  				=				True

								if state.get('trim_offsets'					,A_ ) != trim_offsets:
									A  				=				trim_offsets
									A  				=				True

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


						@property
						def   _SCREAMING_SNAKE_CASE (	self       : Any )       ->				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   _SCREAMING_SNAKE_CASE (	self       : Optional[int]					,A_       : Tuple )       ->				Union[str, Any]:
							A  				=				AddedToken(A_					,lstrip=A_					,rstrip=A_ ) if isinstance(A_					,A_ ) else value
							A  				=				value


						def   _SCREAMING_SNAKE_CASE (	self       : int					,*A_       : Dict					,**A_       : str )       ->				BatchEncoding:
							A  				=				kwargs.get('is_split_into_words'					,A_ )
							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(*A_					,**A_ )


						def   _SCREAMING_SNAKE_CASE (	self       : Optional[int]					,*A_       : List[Any]					,**A_       : Tuple )       ->				BatchEncoding:
							A  				=				kwargs.get('is_split_into_words'					,A_ )

							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(*A_					,**A_ )


						def   _SCREAMING_SNAKE_CASE (	self       : Optional[Any]					,A_       : str					,A_       : Optional[str] = None )       ->				Tuple[str]:
							A  				=				self._tokenizer.model.save(A_					,name=A_ )
							return tuple(A_ )


						def   _SCREAMING_SNAKE_CASE (	self       : Dict					,A_       : int					,A_       : List[str]=None )       ->				int:
							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   _SCREAMING_SNAKE_CASE (	self       : int					,A_       : List[int]					,A_       : Optional[List[int]] = None )       ->				List[int]:
							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 __future__ import annotations






def  _snake_case			(						snake_case__				:       list[list[int]]		, snake_case__				:       list[list[int]]       ):
	assert len(snake_case__       ) == len(snake_case__       )

	A  				=				len(snake_case__       )
	A  				=				list(range(snake_case__       )       )
	A  				=				[-1] * n  # who the donor has donated to
	A  				=				[-1] * n  # who the recipient has received from
	A  				=				[0] * n

	while unmatched_donors:
		A  				=				unmatched_donors[0]
		A  				=				donor_pref[donor]
		A  				=				donor_preference[num_donations[donor]]
		num_donations[donor] += 1
		A  				=				recipient_pref[recipient]
		A  				=				rec_record[recipient]

		if prev_donor != -1:
			if rec_preference.index(snake_case__       ) > rec_preference.index(snake_case__       ):
				A  				=				donor
				A  				=				recipient
				unmatched_donors.append(snake_case__       )
				unmatched_donors.remove(snake_case__       )
		else:
			A  				=				donor
			A  				=				recipient
			unmatched_donors.remove(snake_case__       )
	return donor_record