




from __future__ import annotations

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

__SCREAMING_SNAKE_CASE 						=TypeVar("""T""")
__SCREAMING_SNAKE_CASE 						=TypeVar("""U""")






class  __magic_name__						(  Generic[T, U]):
				'''simple docstring'''







				def __init__(							self:   Optional[Any]		,					_lowerCamelCase:   T | None		,					_lowerCamelCase:   U | None		):
											SCREAMING_SNAKE_CASE_   	=    key
											SCREAMING_SNAKE_CASE_   	=    val
											SCREAMING_SNAKE_CASE_   	=    None
											SCREAMING_SNAKE_CASE_   	=    None





				def __repr__(							self:   Optional[int]		):
											return (
											    f"Node: key: {self.key}, val: {self.val}, "
											    f"has next: {bool(self.next		)}, has prev: {bool(self.prev		)}"
											)






class  __magic_name__						(  Generic[T, U]):
				'''simple docstring'''







				def __init__(							self:   Union[str, Any]		):
											SCREAMING_SNAKE_CASE_   	=    DoubleLinkedListNode(_lowerCamelCase		,					_lowerCamelCase		)
											SCREAMING_SNAKE_CASE_   	=    DoubleLinkedListNode(_lowerCamelCase		,					_lowerCamelCase		)
											SCREAMING_SNAKE_CASE_	,	SCREAMING_SNAKE_CASE_   	=    self.rear, self.head


				def __repr__(							self:   Dict		):
											SCREAMING_SNAKE_CASE_   	=    ['''DoubleLinkedList''']
											SCREAMING_SNAKE_CASE_   	=    self.head
											while node.next is not None:
																		rep.append(str(_lowerCamelCase		)		)
																		SCREAMING_SNAKE_CASE_   	=    node.next
											rep.append(str(self.rear		)		)
											return ",\n    ".join(_lowerCamelCase		)


				def     _A							(							self:   Optional[Any]		,					_lowerCamelCase:   DoubleLinkedListNode[T, U]		):
											SCREAMING_SNAKE_CASE_   	=    self.rear.prev

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

											SCREAMING_SNAKE_CASE_   	=    node
											SCREAMING_SNAKE_CASE_   	=    previous
											SCREAMING_SNAKE_CASE_   	=    node
											SCREAMING_SNAKE_CASE_   	=    self.rear





				def     _A							(							self:   Optional[int]		,					_lowerCamelCase:   DoubleLinkedListNode[T, U]		):

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

											SCREAMING_SNAKE_CASE_   	=    node.next
											SCREAMING_SNAKE_CASE_   	=    node.prev
											SCREAMING_SNAKE_CASE_   	=    None
											SCREAMING_SNAKE_CASE_   	=    None
											return node






class  __magic_name__						(  Generic[T, U]):
				'''simple docstring'''







				SCREAMING_SNAKE_CASE__					:							dict[Callable[[T], U], LRUCache[T, U]]	      =					{}


				def __init__(							self:   str		,					_lowerCamelCase:   int		):
											SCREAMING_SNAKE_CASE_   	=    DoubleLinkedList()
											SCREAMING_SNAKE_CASE_   	=    capacity
											SCREAMING_SNAKE_CASE_   	=    0
											SCREAMING_SNAKE_CASE_   	=    0
											SCREAMING_SNAKE_CASE_   	=    0
											SCREAMING_SNAKE_CASE_   	=    {}


				def __repr__(							self:   List[Any]		):
											return (
											    f"CacheInfo(hits={self.hits}, misses={self.miss}, "
											    f"capacity={self.capacity}, current size={self.num_keys})"
											)


				def __contains__(							self:   List[Any]		,					_lowerCamelCase:   T		):
											return key in self.cache


				def     _A							(							self:   int		,					_lowerCamelCase:   T		):
											# Note: pythonic interface would throw KeyError rather than return None

											if key in self.cache:
																		self.hits += 1
																		SCREAMING_SNAKE_CASE_   	=    self.cache[key]
																		SCREAMING_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(_lowerCamelCase		)
																		return node.val
											self.miss += 1
											return None


				def     _A							(							self:   List[Any]		,					_lowerCamelCase:   T		,					_lowerCamelCase:   U		):

											if key not in self.cache:
																		if self.num_keys >= self.capacity:
																									# delete first node (oldest) when over capacity
																									SCREAMING_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(_lowerCamelCase		) 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
																		SCREAMING_SNAKE_CASE_   	=    DoubleLinkedListNode(_lowerCamelCase		,					_lowerCamelCase		)
																		self.list.add(self.cache[key]		)
																		self.num_keys += 1

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





				@classmethod
				def     _A							(							cls:   int		,					_lowerCamelCase:   int = 1_28		):

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

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

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

																		setattr(_lowerCamelCase		,					'''cache_info'''		,					_lowerCamelCase		)  # noqa: B010

																		return cache_decorator_wrapper

											return cache_decorator_inner


if __name__ == "__main__":
			import doctest

			doctest.testmod()








import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__SCREAMING_SNAKE_CASE 						=logging.get_logger(__name__)


__SCREAMING_SNAKE_CASE 						="""▁"""

__SCREAMING_SNAKE_CASE 						={"""vocab_file""": """spiece.model"""}

__SCREAMING_SNAKE_CASE 						={
    """vocab_file""": {
        """google/reformer-crime-and-punishment""": (
            """https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"""
        )
    }
}

__SCREAMING_SNAKE_CASE 						={
    """google/reformer-crime-and-punishment""": 524_288,
}






class  __magic_name__						(  __UpperCAmelCase):
				'''simple docstring'''







				SCREAMING_SNAKE_CASE__					:							Any	      =					VOCAB_FILES_NAMES
				SCREAMING_SNAKE_CASE__					:							Union[str, Any]	      =					PRETRAINED_VOCAB_FILES_MAP
				SCREAMING_SNAKE_CASE__					:							Optional[int]	      =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				SCREAMING_SNAKE_CASE__					:							Union[str, Any]	      =					["input_ids", "attention_mask"]


				def __init__(							self:   List[Any]		,					_lowerCamelCase:   List[Any]		,					_lowerCamelCase:   List[Any]="</s>"		,					_lowerCamelCase:   str="<unk>"		,					_lowerCamelCase:   Union[str, Any]=[]		,					_lowerCamelCase:   Optional[Dict[str, Any]] = None		,					**_lowerCamelCase:   List[str]		,					):
											SCREAMING_SNAKE_CASE_   	=    {} if sp_model_kwargs is None else sp_model_kwargs

											super().__init__(
											    eos_token=_lowerCamelCase		,					unk_token=_lowerCamelCase		,					additional_special_tokens=_lowerCamelCase		,					sp_model_kwargs=self.sp_model_kwargs		,					**_lowerCamelCase		,					)

											SCREAMING_SNAKE_CASE_   	=    vocab_file
											SCREAMING_SNAKE_CASE_   	=    spm.SentencePieceProcessor(**self.sp_model_kwargs		)
											self.sp_model.Load(_lowerCamelCase		)


				@property
				def     _A							(							self:   Optional[int]		):
											return self.sp_model.get_piece_size()


				def     _A							(							self:   int		):
											SCREAMING_SNAKE_CASE_   	=    {self.convert_ids_to_tokens(_lowerCamelCase		): i for i in range(self.vocab_size		)}
											vocab.update(self.added_tokens_encoder		)
											return vocab


				def __getstate__(							self:   Tuple		):
											SCREAMING_SNAKE_CASE_   	=    self.__dict__.copy()
											SCREAMING_SNAKE_CASE_   	=    None
											return state


				def __setstate__(							self:   Dict		,					_lowerCamelCase:   Union[str, Any]		):
											SCREAMING_SNAKE_CASE_   	=    d

											# for backward compatibility
											if not hasattr(self		,					'''sp_model_kwargs'''		):
																		SCREAMING_SNAKE_CASE_   	=    {}

											SCREAMING_SNAKE_CASE_   	=    spm.SentencePieceProcessor(**self.sp_model_kwargs		)
											self.sp_model.Load(self.vocab_file		)


				def     _A							(							self:   Optional[Any]		,					_lowerCamelCase:   str		):
											return self.sp_model.encode(_lowerCamelCase		,					out_type=_lowerCamelCase		)


				def     _A							(							self:   int		,					_lowerCamelCase:   Optional[int]		):
											return self.sp_model.piece_to_id(_lowerCamelCase		)


				def     _A							(							self:   Union[str, Any]		,					_lowerCamelCase:   Tuple		):
											if index < self.sp_model.get_piece_size():
																		SCREAMING_SNAKE_CASE_   	=    self.sp_model.IdToPiece(_lowerCamelCase		)
											return token


				def     _A							(							self:   List[str]		,					_lowerCamelCase:   int		):
											SCREAMING_SNAKE_CASE_   	=    []
											SCREAMING_SNAKE_CASE_   	=    ''''''
											for token in tokens:
																		# make sure that special tokens are not decoded using sentencepiece model
																		if token in self.all_special_tokens:
																									out_string += self.sp_model.decode(_lowerCamelCase		) + token
																									SCREAMING_SNAKE_CASE_   	=    []
																		else:
																									current_sub_tokens.append(_lowerCamelCase		)
											out_string += self.sp_model.decode(_lowerCamelCase		)
											return out_string.strip()





				def     _A							(							self:   Optional[int]		,					_lowerCamelCase:   str		,					_lowerCamelCase:   Optional[str] = None		):
											if not os.path.isdir(_lowerCamelCase		):
																		logger.error(f"Vocabulary path ({save_directory}) should be a directory"		)
																		return
											SCREAMING_SNAKE_CASE_   	=    os.path.join(
											    _lowerCamelCase		,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)

											if os.path.abspath(self.vocab_file		) != os.path.abspath(_lowerCamelCase		) and os.path.isfile(self.vocab_file		):
																		copyfile(self.vocab_file		,					_lowerCamelCase		)
											elif not os.path.isfile(self.vocab_file		):
																		with open(_lowerCamelCase		,					'''wb'''		) as fi:
																									SCREAMING_SNAKE_CASE_   	=    self.sp_model.serialized_model_proto()
																									fi.write(_lowerCamelCase		)

											return (out_vocab_file,)


