LFU Cache
franklinqin0 Hash TableLinked ListDesignDoubly-Linked List
# Driver Code
obj = LFUCache(capacity)
param_1 = obj.get(key)
obj.put(key,value)
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# Solution
Both solutions below take constant time.
Complexity
time: (all operations)
space:
# Cheating w/ Built-in OrderDict
from collections import defaultdict, OrderedDict
class LFUCache:
def __init__(self, capacity: int):
self.dct = {}
self.frequencies = defaultdict(OrderedDict)
self.minf = 0
self.cap = capacity
def insert(self, key, freq, value):
self.dct[key] = (freq, value)
self.frequencies[freq][key] = value
def get(self, key: int) -> int:
if key not in self.dct:
return -1
freq, value = self.dct[key]
# remove key from current freq group
del self.frequencies[freq][key]
# clean up if od is empty after removal
if not self.frequencies[freq]:
del self.frequencies[freq]
# least frequency in the cache has now increased
if freq == self.minf:
self.minf += 1
# key has been accessed one more time
self.insert(key, freq + 1, value)
return value
def put(self, key: int, value: int) -> None:
if key in self.dct:
freq = self.dct[key][0]
self.dct[key] = (freq, value)
# update the freq and reorder the key
self.get(key)
return
# full capacity, del lfu
if self.cap == len(self.dct):
# remove the lru from lfu group
lfu_key, freq = self.frequencies[self.minf].popitem(last=False)
del self.dct[lfu_key]
self.minf = 1
self.insert(key, 1, value)
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# HashMap & Doubly Linked List
REDO!!!
class ListNode:
def __init__(self, key, val):
self.key = key
self.val = val
self.freq = 1
self.prev = None
self.next = None
class LinkedList:
def __init__(self):
self.sentinel = ListNode(0, 0)
self.sentinel.next = self.sentinel.prev = self.sentinel
self.size = 0
def __len__(self):
return self.size
def append(self, node):
node.next = self.sentinel.next
node.prev = self.sentinel
node.next.prev = node
self.sentinel.next = node
self.size += 1
def pop(self, node = None):
if self.size == 0:
return
if not node:
node = self.sentinel.prev
node.prev.next = node.next
node.next.prev = node.prev
self.size -= 1
return node
class LFUCache:
def __init__(self, capacity: int):
self.cap = capacity
self.cache = {}
self.freq = defaultdict(LinkedList)
self.min_freq = 0
def get(self, key: int) -> int:
if key not in self.cache:
return -1
node = self.cache[key]
freq = node.freq
self.freq[freq].pop(node)
if len(self.freq[freq]) == 0:
del self.freq[freq]
if freq == self.min_freq:
self.min_freq += 1
node.freq += 1
self.freq[node.freq].append(node)
self.cache[key] = node
return node.val
def put(self, key: int, value: int) -> None:
if self.cap == 0:
return
if key in self.cache:
self.cache[key].val = value
self.get(key)
return
if self.cap == len(self.cache):
deleted = self.freq[self.min_freq].pop()
del self.cache[deleted.key]
node = ListNode(key, value)
self.cache[key] = node
self.freq[1].append(node)
self.min_freq = 1
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