class LRUCache:
"""
Our LRUCache class keeps track of the max number of nodes it
can hold, the current number of nodes it is holding, a doubly-
linked list that holds the key-value entries in the correct
order, as well as a storage dict that provides fast access
to every node stored in the cache.
"""
def __init__(self, limit=10):
self.limit = limit
self.cache = DoublyLinkedList()
def __str__(self):
self.cache.__str__()
return 'Done'
"""
Retrieves the value associated with the given key. Also
needs to move the key-value pair to the end of the order
such that the pair is considered most-recently used.
Returns the value associated with the key or None if the
key-value pair doesn't exist in the cache.
"""
def get(self, key):
if self.cache.contains(key):
node = self.cache.contains(key)
self.cache.move_to_end(node["node"])
return node["value"]
"""
Adds the given key-value pair to the cache. The newly-
added pair should be considered the most-recently used
entry in the cache. If the cache is already at max capacity
before this entry is added, then the oldest entry in the
cache needs to be removed to make room. Additionally, in the
case that the key already exists in the cache, we simply
want to overwrite the old value associated with the key with
the newly-specified value.
"""
def set(self, key, value):
if self.cache.contains(key):
node = self.cache.contains(key)
setattr(node["node"], key, value)
self.cache.move_to_end(node["node"])
elif len(self.cache) >= self.limit:
self.cache.remove_from_head()
self.cache.add_to_tail(key, value)
else:
self.cache.add_to_tail(key, value)
def test_contains(self):
llist = DoublyLinkedList()
llist.insert_last(1)
self.assertTrue(llist.contains(1))
self.assertFalse(llist.contains(0))
class LRUCache:
"""
Our LRUCache class keeps track of the max number of nodes it
can hold, the current number of nodes it is holding, a doubly-
linked list that holds the key-value entries in the correct
order, as well as a storage dict that provides fast access
to every node stored in the cache.
"""
def __init__(self, limit=3):
self.limit = limit
# holds key, value pairs
self.storage = {}
# holds keys as nodes in correct order
self.ordered = DoublyLinkedList()
"""
Retrieves the value associated with the given key. Also
needs to move the key-value pair to the end of the order
such that the pair is considered most-recently used.
Returns the value associated with the key or None if the
key-value pair doesn't exist in the cache.
"""
def get(self, key):
# return value in storage dict
value = self.storage.get(key)
# find value in ordered list
node = self.ordered.contains(value)
if node is not None:
# move node to back of list
self.ordered.move_to_end(node)
return value
"""
Adds the given key-value pair to the cache. The newly-
added pair should be considered the most-recently used
entry in the cache. If the cache is already at max capacity
before this entry is added, then the oldest entry in the
cache needs to be removed to make room. Additionally, in the
case that the key already exists in the cache, we simply
want to overwrite the old value associated with the key with
the newly-specified value.
"""
def set(self, key, value):
# add key value pair to storage
# if key exists, overwrite value
new_pair = {key: value}
self.storage.update(new_pair)
# add value to back of ordered list
self.ordered.add_to_tail(value)
# if length of ordered list and storage is > limit
if len(self.ordered) > self.limit and len(self.storage) > self.limit:
# remove front of ordered list
value = self.ordered.remove_from_head()
# remove from dictionary
self.storage = {
k: v
for k, v in self.storage.items() if v != value
}
