


from __future__ import annotations

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

_lowerCAmelCase:						Optional[Any]   				=       TypeVar('T')
_lowerCAmelCase:						Dict   				=       TypeVar('U')




class       lowercase_					(Generic[T, U]   ):





				def __init__(				self       ,  lowercase_       ,  lowercase_)  -> Optional[Any]:
											a__      =key
											a__      =val
											a__      =None
											a__      =None





				def __repr__(				self)  -> str:
											return (
											    F"""Node: key: {self.key}, val: {self.val}, """
											    F"""has next: {bool(self.next)}, has prev: {bool(self.prev)}"""
											)







class       lowercase_					(Generic[T, U]   ):





				def __init__(				self)  -> None:
											a__      =DoubleLinkedListNode(lowercase_       ,  lowercase_)
											a__      =DoubleLinkedListNode(lowercase_       ,  lowercase_)
											a__    ,     a__      =self.rear, self.head





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





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> None:
											a__      =self.rear.prev

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

											a__      =node
											a__      =previous
											a__      =node
											a__      =self.rear





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> DoubleLinkedListNode[T, U] | None:

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

											a__      =node.next
											a__      =node.prev
											a__      =None
											a__      =None
											return node







class       lowercase_					(Generic[T, U]   ):
				snake_case	    ={}





				def __init__(				self       ,  lowercase_)  -> List[Any]:
											a__      =DoubleLinkedList()
											a__      =capacity
											a__      =0
											a__      =0
											a__      =0
											a__      ={}





				def __repr__(				self)  -> str:
											return (
											    F"""CacheInfo(hits={self.hits}, misses={self.miss}, """
											    F"""capacity={self.capacity}, current size={self.num_keys})"""
											)





				def __contains__(				self       ,  lowercase_)  -> bool:
											return key in self.cache





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> U | None:
											# Note: pythonic interface would throw KeyError rather than return None

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





				def 						__UpperCamelCase    (				self       ,  lowercase_       ,  lowercase_)  -> None:

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

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





				@classmethod
				def 						__UpperCamelCase    (				cls       ,  lowercase_ = 128)  -> Callable[[Callable[[T], U]], Callable[..., U]]:

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

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

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

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

																		return cache_decorator_wrapper

											return cache_decorator_inner


if __name__ == "__main__":
	import doctest

	doctest.testmod()





from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader




class A    (  UpperCamelCase_	):






      def __init__(   self		:	Union[str, Any]     ,  lowercase_		:	NestedDataStructureLike[PathLike]     ,  lowercase_		:	Optional[NamedSplit] = None     ,  lowercase_		:	Optional[Features] = None     ,  lowercase_		:	str = None     ,  lowercase_		:	bool = False     ,  lowercase_		:	bool = False     ,  lowercase_		:	Optional[int] = None     ,  **lowercase_		:	Optional[int]     ,  )   ->		Union[str, Any]:
             """simple docstring"""




             super().__init__(
                 lowercase_     ,  split=lowercase_     ,  features=lowercase_     ,  cache_dir=lowercase_     ,  keep_in_memory=lowercase_     ,  streaming=lowercase_     ,  num_proc=lowercase_     ,  **lowercase_     ,  )
             _lowerCamelCase			:						Optional[int]            =path_or_paths if isinstance(lowercase_     ,  lowercase_					) else {self.split: path_or_paths}
             _lowerCamelCase			:						int            =Text(
                 cache_dir=lowercase_     ,  data_files=lowercase_     ,  features=lowercase_     ,  **lowercase_     ,  )






      def 			lowerCamelCase			(   self		:	Optional[Any]					)   ->		Dict:
             """simple docstring"""




             if self.streaming:
                    _lowerCamelCase			:						Optional[Any]            =self.builder.as_streaming_dataset(split=self.split					)
             # Build regular (map-style) dataset
             else:
                    _lowerCamelCase			:						List[str]            =None
                    _lowerCamelCase			:						int            =None
                    _lowerCamelCase			:						Optional[Any]            =None
                    _lowerCamelCase			:						Any            =None

                    self.builder.download_and_prepare(
                        download_config=lowercase_     ,  download_mode=lowercase_     ,  verification_mode=lowercase_     ,  base_path=lowercase_     ,  num_proc=self.num_proc     ,  )
                    _lowerCamelCase			:						Tuple            =self.builder.as_dataset(
                        split=self.split     ,  verification_mode=lowercase_     ,  in_memory=self.keep_in_memory					)
             return dataset


