

"""simple docstring"""





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


__UpperCamelCase  :      Optional[Any]							      =		logging.get_logger(__name__)

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

__UpperCamelCase  :      List[Any]							      =		{
    '''vocab_file''': {
        '''squeezebert/squeezebert-uncased''': (
            '''https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt'''
        ),
        '''squeezebert/squeezebert-mnli''': '''https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt''',
        '''squeezebert/squeezebert-mnli-headless''': (
            '''https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''squeezebert/squeezebert-uncased''': (
            '''https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json'''
        ),
        '''squeezebert/squeezebert-mnli''': (
            '''https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json'''
        ),
        '''squeezebert/squeezebert-mnli-headless''': (
            '''https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json'''
        ),
    },
}

__UpperCamelCase  :      List[Any]							      =		{
    '''squeezebert/squeezebert-uncased''': 5_1_2,
    '''squeezebert/squeezebert-mnli''': 5_1_2,
    '''squeezebert/squeezebert-mnli-headless''': 5_1_2,
}


__UpperCamelCase  :      Any							      =		{
    '''squeezebert/squeezebert-uncased''': {'''do_lower_case''': True},
    '''squeezebert/squeezebert-mnli''': {'''do_lower_case''': True},
    '''squeezebert/squeezebert-mnli-headless''': {'''do_lower_case''': True},
}







class 				SCREAMING_SNAKE_CASE					(		a_       ):






					"""simple docstring"""



					lowercase__				 =       VOCAB_FILES_NAMES
					lowercase__				 =       PRETRAINED_VOCAB_FILES_MAP
					lowercase__				 =       PRETRAINED_INIT_CONFIGURATION
					lowercase__				 =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowercase__				 =       SqueezeBertTokenizer







					def __init__(       self			:				Any   ,lowercase_			:				str=None   ,lowercase_			:				str=None   ,lowercase_			:				List[str]=True   ,lowercase_			:				Optional[Any]="[UNK]"   ,lowercase_			:				str="[SEP]"   ,lowercase_			:				Optional[Any]="[PAD]"   ,lowercase_			:				int="[CLS]"   ,lowercase_			:				Optional[int]="[MASK]"   ,lowercase_			:				Any=True   ,lowercase_			:				List[str]=None   ,**lowercase_			:				Optional[int]   ,):
						super().__init__(
						    lowercase_   ,tokenizer_file=lowercase_   ,do_lower_case=lowercase_   ,unk_token=lowercase_   ,sep_token=lowercase_   ,pad_token=lowercase_   ,cls_token=lowercase_   ,mask_token=lowercase_   ,tokenize_chinese_chars=lowercase_   ,strip_accents=lowercase_   ,**lowercase_   ,)

						lowerCAmelCase__	:						int  				=	json.loads(self.backend_tokenizer.normalizer.__getstate__()		)
						if (
						    normalizer_state.get('''lowercase'''   ,lowercase_		) != do_lower_case
						    or normalizer_state.get('''strip_accents'''   ,lowercase_		) != strip_accents
						    or normalizer_state.get('''handle_chinese_chars'''   ,lowercase_		) != tokenize_chinese_chars
						):
							lowerCAmelCase__	:						Union[str, Any]  				=	getattr(lowercase_   ,normalizer_state.pop('''type'''		)		)
							lowerCAmelCase__	:						Dict  				=	do_lower_case
							lowerCAmelCase__	:						int  				=	strip_accents
							lowerCAmelCase__	:						str  				=	tokenize_chinese_chars
							lowerCAmelCase__	:						Optional[Any]  				=	normalizer_class(**lowercase_		)

						lowerCAmelCase__	:						List[Any]  				=	do_lower_case







					def        __lowerCAmelCase (       self			:				List[str]   ,lowercase_			:				Dict   ,lowercase_			:				int=None		):
						lowerCAmelCase__	:						Dict  				=	[self.cls_token_id] + token_ids_a + [self.sep_token_id]

						if token_ids_a:
							output += token_ids_a + [self.sep_token_id]

						return output







					def        __lowerCAmelCase (       self			:				List[Any]   ,lowercase_			:				List[int]   ,lowercase_			:				Optional[List[int]] = None		):
						lowerCAmelCase__	:						int  				=	[self.sep_token_id]
						lowerCAmelCase__	:						Tuple  				=	[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		) * [0] + len(token_ids_a + sep		) * [1]







					def        __lowerCAmelCase (       self			:				Dict   ,lowercase_			:				str   ,lowercase_			:				Optional[str] = None		):
						lowerCAmelCase__	:						Optional[Any]  				=	self._tokenizer.model.save(lowercase_   ,name=lowercase_		)
						return tuple(lowercase_		)







"""simple docstring"""





from __future__ import annotations

import sys
from collections import deque
from typing import Generic, TypeVar

__UpperCamelCase  :      Tuple							      =		TypeVar('''T''')







class 				SCREAMING_SNAKE_CASE					(		Generic[T]       ):






					"""simple docstring"""



					lowercase__				 =       42  # Cache store of keys
					lowercase__				 =       42  # References of the keys in cache
					lowercase__				 =       10  # Maximum capacity of cache







					def __init__(       self			:				Dict   ,lowercase_			:				int		):
						lowerCAmelCase__	:						str  				=	deque()
						lowerCAmelCase__	:						Any  				=	set()
						if not n:
							lowerCAmelCase__	:						Optional[Any]  				=	sys.maxsize
						elif n < 0:
							raise ValueError('''n should be an integer greater than 0.'''		)
						else:
							lowerCAmelCase__	:						int  				=	n







					def        __lowerCAmelCase (       self			:				str   ,lowercase_			:				T		):
						if x not in self.key_reference:
							if len(self.dq_store		) == LRUCache._MAX_CAPACITY:
								lowerCAmelCase__	:						Any  				=	self.dq_store.pop()
								self.key_reference.remove(lowercase_		)
						else:
							self.dq_store.remove(lowercase_		)

						self.dq_store.appendleft(lowercase_		)
						self.key_reference.add(lowercase_		)







					def        __lowerCAmelCase (       self			:				int		):
						for k in self.dq_store:
							print(lowercase_		)







					def __repr__(       self			:				Tuple		):
						return F'LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store		)}'


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							__UpperCamelCase  :      LRUCache[str | int]							      =		LRUCache(4)
							lru_cache.refer('''A''')
							lru_cache.refer(2)
							lru_cache.refer(3)
							lru_cache.refer('''A''')
							lru_cache.refer(4)
							lru_cache.refer(5)
							lru_cache.display()

							print(lru_cache)
							assert str(lru_cache) == "LRUCache(4) => [5, 4, 'A', 3]"




