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lru_cache.py
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from __future__ importannotations
fromcollections.abcimportCallable
fromtypingimportGeneric, TypeVar
T=TypeVar("T")
U=TypeVar("U")
classDoubleLinkedListNode(Generic[T, U]):
"""
Double Linked List Node built specifically for LRU Cache
>>> DoubleLinkedListNode(1,1)
Node: key: 1, val: 1, has next: False, has prev: False
"""
def__init__(self, key: T|None, val: U|None):
self.key=key
self.val=val
self.next: DoubleLinkedListNode[T, U] |None=None
self.prev: DoubleLinkedListNode[T, U] |None=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)}"
)
classDoubleLinkedList(Generic[T, U]):
"""
Double Linked List built specifically for LRU Cache
>>> dll: DoubleLinkedList = DoubleLinkedList()
>>> dll
DoubleLinkedList,
Node: key: None, val: None, has next: True, has prev: False,
Node: key: None, val: None, has next: False, has prev: True
>>> first_node = DoubleLinkedListNode(1,10)
>>> first_node
Node: key: 1, val: 10, has next: False, has prev: False
>>> dll.add(first_node)
>>> dll
DoubleLinkedList,
Node: key: None, val: None, has next: True, has prev: False,
Node: key: 1, val: 10, has next: True, has prev: True,
Node: key: None, val: None, has next: False, has prev: True
>>> # node is mutated
>>> first_node
Node: key: 1, val: 10, has next: True, has prev: True
>>> second_node = DoubleLinkedListNode(2,20)
>>> second_node
Node: key: 2, val: 20, has next: False, has prev: False
>>> dll.add(second_node)
>>> dll
DoubleLinkedList,
Node: key: None, val: None, has next: True, has prev: False,
Node: key: 1, val: 10, has next: True, has prev: True,
Node: key: 2, val: 20, has next: True, has prev: True,
Node: key: None, val: None, has next: False, has prev: True
>>> removed_node = dll.remove(first_node)
>>> assert removed_node == first_node
>>> dll
DoubleLinkedList,
Node: key: None, val: None, has next: True, has prev: False,
Node: key: 2, val: 20, has next: True, has prev: True,
Node: key: None, val: None, has next: False, has prev: True
>>> # Attempt to remove node not on list
>>> removed_node = dll.remove(first_node)
>>> removed_node is None
True
>>> # Attempt to remove head or rear
>>> dll.head
Node: key: None, val: None, has next: True, has prev: False
>>> dll.remove(dll.head) is None
True
>>> # Attempt to remove head or rear
>>> dll.rear
Node: key: None, val: None, has next: False, has prev: True
>>> dll.remove(dll.rear) is None
True
"""
def__init__(self) ->None:
self.head: DoubleLinkedListNode[T, U] =DoubleLinkedListNode(None, None)
self.rear: DoubleLinkedListNode[T, U] =DoubleLinkedListNode(None, None)
self.head.next, self.rear.prev=self.rear, self.head
def__repr__(self) ->str:
rep= ["DoubleLinkedList"]
node=self.head
whilenode.nextisnotNone:
rep.append(str(node))
node=node.next
rep.append(str(self.rear))
return",\n ".join(rep)
defadd(self, node: DoubleLinkedListNode[T, U]) ->None:
"""
Adds the given node to the end of the list (before rear)
"""
previous=self.rear.prev
# All nodes other than self.head are guaranteed to have non-None previous
assertpreviousisnotNone
previous.next=node
node.prev=previous
self.rear.prev=node
node.next=self.rear
defremove(
self, node: DoubleLinkedListNode[T, U]
) ->DoubleLinkedListNode[T, U] |None:
"""
Removes and returns the given node from the list
Returns None if node.prev or node.next is None
"""
ifnode.previsNoneornode.nextisNone:
returnNone
node.prev.next=node.next
node.next.prev=node.prev
node.prev=None
node.next=None
returnnode
classLRUCache(Generic[T, U]):
"""
LRU Cache to store a given capacity of data. Can be used as a stand-alone object
or as a function decorator.
>>> cache = LRUCache(2)
>>> cache.put(1, 1)
>>> cache.put(2, 2)
>>> cache.get(1)
1
>>> cache.list
DoubleLinkedList,
Node: key: None, val: None, has next: True, has prev: False,
Node: key: 2, val: 2, has next: True, has prev: True,
Node: key: 1, val: 1, has next: True, has prev: True,
Node: key: None, val: None, has next: False, has prev: True
>>> cache.cache # doctest: +NORMALIZE_WHITESPACE
{1: Node: key: 1, val: 1, has next: True, has prev: True, \
2: Node: key: 2, val: 2, has next: True, has prev: True}
>>> cache.put(3, 3)
>>> cache.list
DoubleLinkedList,
Node: key: None, val: None, has next: True, has prev: False,
Node: key: 1, val: 1, has next: True, has prev: True,
Node: key: 3, val: 3, has next: True, has prev: True,
Node: key: None, val: None, has next: False, has prev: True
>>> cache.cache # doctest: +NORMALIZE_WHITESPACE
{1: Node: key: 1, val: 1, has next: True, has prev: True, \
3: Node: key: 3, val: 3, has next: True, has prev: True}
>>> cache.get(2) is None
True
>>> cache.put(4, 4)
>>> cache.get(1) is None
True
>>> cache.get(3)
3
>>> cache.get(4)
4
>>> cache
CacheInfo(hits=3, misses=2, capacity=2, current size=2)
>>> @LRUCache.decorator(100)
... def fib(num):
... if num in (1, 2):
... return 1
... return fib(num - 1) + fib(num - 2)
>>> for i in range(1, 100):
... res = fib(i)
>>> fib.cache_info()
CacheInfo(hits=194, misses=99, capacity=100, current size=99)
"""
# class variable to map the decorator functions to their respective instance
decorator_function_to_instance_map: dict[Callable[[T], U], LRUCache[T, U]] = {}
def__init__(self, capacity: int):
self.list: DoubleLinkedList[T, U] =DoubleLinkedList()
self.capacity=capacity
self.num_keys=0
self.hits=0
self.miss=0
self.cache: dict[T, DoubleLinkedListNode[T, U]] = {}
def__repr__(self) ->str:
"""
Return the details for the cache instance
[hits, misses, capacity, current_size]
"""
return (
f"CacheInfo(hits={self.hits}, misses={self.miss}, "
f"capacity={self.capacity}, current size={self.num_keys})"
)
def__contains__(self, key: T) ->bool:
"""
>>> cache = LRUCache(1)
>>> 1 in cache
False
>>> cache.put(1, 1)
>>> 1 in cache
True
"""
returnkeyinself.cache
defget(self, key: T) ->U|None:
"""
Returns the value for the input key and updates the Double Linked List.
Returns None if key is not present in cache
"""
# Note: pythonic interface would throw KeyError rather than return None
ifkeyinself.cache:
self.hits+=1
value_node: DoubleLinkedListNode[T, U] =self.cache[key]
node=self.list.remove(self.cache[key])
assertnode==value_node
# node is guaranteed not None because it is in self.cache
assertnodeisnotNone
self.list.add(node)
returnnode.val
self.miss+=1
returnNone
defput(self, key: T, value: U) ->None:
"""
Sets the value for the input key and updates the Double Linked List
"""
ifkeynotinself.cache:
ifself.num_keys>=self.capacity:
# delete first node (oldest) when over capacity
first_node=self.list.head.next
# guaranteed to have a non-None first node when num_keys > 0
# explain to type checker via assertions
assertfirst_nodeisnotNone
assertfirst_node.keyisnotNone
assert (
self.list.remove(first_node) isnotNone
) # node guaranteed to be in list assert node.key is not None
delself.cache[first_node.key]
self.num_keys-=1
self.cache[key] =DoubleLinkedListNode(key, value)
self.list.add(self.cache[key])
self.num_keys+=1
else:
# bump node to the end of the list, update value
node=self.list.remove(self.cache[key])
assertnodeisnotNone# node guaranteed to be in list
node.val=value
self.list.add(node)
@classmethod
defdecorator(
cls, size: int=128
) ->Callable[[Callable[[T], U]], Callable[..., U]]:
"""
Decorator version of LRU Cache
Decorated function must be function of T -> U
"""
defcache_decorator_inner(func: Callable[[T], U]) ->Callable[..., U]:
defcache_decorator_wrapper(*args: T) ->U:
iffuncnotincls.decorator_function_to_instance_map:
cls.decorator_function_to_instance_map[func] =LRUCache(size)
result=cls.decorator_function_to_instance_map[func].get(args[0])
ifresultisNone:
result=func(*args)
cls.decorator_function_to_instance_map[func].put(args[0], result)
returnresult
defcache_info() ->LRUCache[T, U]:
returncls.decorator_function_to_instance_map[func]
setattr(cache_decorator_wrapper, "cache_info", cache_info) # noqa: B010
returncache_decorator_wrapper
returncache_decorator_inner
if__name__=="__main__":
importdoctest
doctest.testmod()