




'''simple docstring'''

from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

a       :						Union[str, Any]								=		TypeVar('''T''')
a       :						Union[str, Any]								=		TypeVar('''U''')



class 		SCREAMING_SNAKE_CASE__  (			Generic[T, U]	):





			def __init__(      self						:    Optional[Any]      ,		a_						:    T | None      ,		a_						:    U | None							):



						"""simple docstring"""




						__snake_case			=		key
						__snake_case			=		val
						__snake_case			=		None
						__snake_case			=		None






			def __repr__(      self						:    Dict							):



						"""simple docstring"""




						return (
						    f'''Node: key: {self.key}, val: {self.val}, '''
						    f'''has next: {bool(self.next							)}, has prev: {bool(self.prev							)}'''
						)







class 		SCREAMING_SNAKE_CASE__  (			Generic[T, U]	):





			def __init__(      self						:    Optional[int]							):



						"""simple docstring"""




						__snake_case			=		DoubleLinkedListNode(a_      ,		a_							)
						__snake_case			=		DoubleLinkedListNode(a_      ,		a_							)
						__snake_case		,     __snake_case			=		self.rear, self.head





			def __repr__(      self						:    Any							):



						"""simple docstring"""




						__snake_case			=		["DoubleLinkedList"]
						__snake_case			=		self.head
						while node.next is not None:
									rep.append(str(a_							)							)
									__snake_case			=		node.next
						rep.append(str(self.rear							)							)
						return ",\n    ".join(a_							)





			def 							A (      self						:    int      ,		a_						:    DoubleLinkedListNode[T, U]							):



						"""simple docstring"""




						__snake_case			=		self.rear.prev

						# All nodes other than self.head are guaranteed to have non-None previous
						assert previous is not None

						__snake_case			=		node
						__snake_case			=		previous
						__snake_case			=		node
						__snake_case			=		self.rear






			def 							A (      self						:    Optional[Any]      ,		a_						:    DoubleLinkedListNode[T, U]							):



						"""simple docstring"""




						if node.prev is None or node.next is None:
									return None

						__snake_case			=		node.next
						__snake_case			=		node.prev
						__snake_case			=		None
						__snake_case			=		None
						return node







class 		SCREAMING_SNAKE_CASE__  (			Generic[T, U]	):
			__SCREAMING_SNAKE_CASE    =			{}





			def __init__(      self						:    Any      ,		a_						:    int							):



						"""simple docstring"""




						__snake_case			=		DoubleLinkedList()
						__snake_case			=		capacity
						__snake_case			=		0
						__snake_case			=		0
						__snake_case			=		0
						__snake_case			=		{}





			def __repr__(      self						:    Union[str, Any]							):



						"""simple docstring"""




						return (
						    f'''CacheInfo(hits={self.hits}, misses={self.miss}, '''
						    f'''capacity={self.capacity}, current size={self.num_keys})'''
						)





			def __contains__(      self						:    Optional[int]      ,		a_						:    T							):



						"""simple docstring"""




						return key in self.cache





			def 							A (      self						:    int      ,		a_						:    T							):



						"""simple docstring"""




						if key in self.cache:
									self.hits += 1
									__snake_case			=		self.cache[key]
									__snake_case			=		self.list.remove(self.cache[key]							)
									assert node == value_node

									# node is guaranteed not None because it is in self.cache
									assert node is not None
									self.list.add(a_							)
									return node.val
						self.miss += 1
						return None





			def 							A (      self						:    Optional[int]      ,		a_						:    T      ,		a_						:    U							):



						"""simple docstring"""




						if key not in self.cache:
									if self.num_keys >= self.capacity:
												# delete first node (oldest) when over capacity
												__snake_case			=		self.list.head.next

												# guaranteed to have a non-None first node when num_keys > 0
												# explain to type checker via assertions
												assert first_node is not None
												assert first_node.key is not None
												assert (
												    self.list.remove(a_							) is not None
												)  # node guaranteed to be in list assert node.key is not None

												del self.cache[first_node.key]
												self.num_keys -= 1
									__snake_case			=		DoubleLinkedListNode(a_      ,		a_							)
									self.list.add(self.cache[key]							)
									self.num_keys += 1

						else:
									# bump node to the end of the list, update value
									__snake_case			=		self.list.remove(self.cache[key]							)
									assert node is not None  # node guaranteed to be in list
									__snake_case			=		value
									self.list.add(a_							)






			@classmethod
			def 							A (      cls						:    Dict      ,		a_						:    int = 128							):



						"""simple docstring"""




						def cache_decorator_inner(a_						:    Callable[[T], U]							) -> Callable[..., U]:
									def cache_decorator_wrapper(*a_						:    T							) -> U:
												if func not in cls.decorator_function_to_instance_map:
															__snake_case			=		LRUCache(a_							)

												__snake_case			=		cls.decorator_function_to_instance_map[func].get(args[0]							)
												if result is None:
															__snake_case			=		func(*a_							)
															cls.decorator_function_to_instance_map[func].put(args[0]      ,		a_							)
												return result

									def cache_info() -> LRUCache[T, U]:
												return cls.decorator_function_to_instance_map[func]

									setattr(a_      ,		"cache_info"      ,		a_							)  # noqa: B010

									return cache_decorator_wrapper

						return cache_decorator_inner


if __name__ == "__main__":
						import doctest

						doctest.testmod()











'''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


_snake_case : Tuple  				=						logging.get_logger(__name__)

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

_snake_case : 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'
        ),
    },
}

_snake_case : Union[str, Any]  				=						{
    'squeezebert/squeezebert-uncased': 512,
    'squeezebert/squeezebert-mnli': 512,
    'squeezebert/squeezebert-mnli-headless': 512,
}


_snake_case : Tuple  				=						{
    'squeezebert/squeezebert-uncased': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli-headless': {'do_lower_case': True},
}

class      A       (						_a       ):
							lowercase_							     =							VOCAB_FILES_NAMES
							lowercase_							     =							PRETRAINED_VOCAB_FILES_MAP
							lowercase_							     =							PRETRAINED_INIT_CONFIGURATION
							lowercase_							     =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_							     =							SqueezeBertTokenizer







							def __init__(    self			:    str				,     lowerCAmelCase_			:    str=None				,     lowerCAmelCase_			:    List[str]=None				,     lowerCAmelCase_			:    str=True				,     lowerCAmelCase_			:    List[str]="[UNK]"				,     lowerCAmelCase_			:    Union[str, Any]="[SEP]"				,     lowerCAmelCase_			:    Optional[Any]="[PAD]"				,     lowerCAmelCase_			:    Any="[CLS]"				,     lowerCAmelCase_			:    List[str]="[MASK]"				,     lowerCAmelCase_			:    int=True				,     lowerCAmelCase_			:    List[Any]=None				,     **lowerCAmelCase_			:    Optional[int]				,     )     ->				int:


														"""simple docstring"""


														super().__init__(
														    lowerCAmelCase_				,     tokenizer_file=lowerCAmelCase_				,     do_lower_case=lowerCAmelCase_				,     unk_token=lowerCAmelCase_				,     sep_token=lowerCAmelCase_				,     pad_token=lowerCAmelCase_				,     cls_token=lowerCAmelCase_				,     mask_token=lowerCAmelCase_				,     tokenize_chinese_chars=lowerCAmelCase_				,     strip_accents=lowerCAmelCase_				,     **lowerCAmelCase_				,     )

														_a      	=							json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
														if (
														    normalizer_state.get('''lowercase'''				,     lowerCAmelCase_   ) != do_lower_case
														    or normalizer_state.get('''strip_accents'''				,     lowerCAmelCase_   ) != strip_accents
														    or normalizer_state.get('''handle_chinese_chars'''				,     lowerCAmelCase_   ) != tokenize_chinese_chars
														):
																					_a      	=							getattr(lowerCAmelCase_				,     normalizer_state.pop('''type'''   )   )
																					_a      	=							do_lower_case
																					_a      	=							strip_accents
																					_a      	=							tokenize_chinese_chars
																					_a      	=							normalizer_class(**lowerCAmelCase_   )

														_a      	=							do_lower_case







							def   __lowerCAmelCase     (    self			:    Union[str, Any]				,     lowerCAmelCase_			:    int				,     lowerCAmelCase_			:    Optional[Any]=None   )     ->				List[str]:


														"""simple docstring"""


														_a      	=							[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			:    Any				,     lowerCAmelCase_			:    List[int]				,     lowerCAmelCase_			:    Optional[List[int]] = None   )     ->				List[int]:


														"""simple docstring"""


														_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   ) * [0] + len(token_ids_a + sep   ) * [1]







							def   __lowerCAmelCase     (    self			:    Optional[Any]				,     lowerCAmelCase_			:    str				,     lowerCAmelCase_			:    Optional[str] = None   )     ->				Tuple[str]:


														"""simple docstring"""


														_a      	=							self._tokenizer.model.save(lowerCAmelCase_				,     name=lowerCAmelCase_   )
														return tuple(lowerCAmelCase_   )

