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https://github.com/TheAlgorithms/JavaScript.git
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merge: Added new clean LFUCache
class (#939)
* feat: added new clean LFUCache class * fixed: resolved spell mistake & added test casses
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@ -1,106 +1,254 @@
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class DoubleLinkedListNode {
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// Double Linked List Node built specifically for LFU Cache
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constructor (key, val) {
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class CacheNode {
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constructor (key, value, frequency) {
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this.key = key
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this.val = val
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this.freq = 0
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this.next = null
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this.prev = null
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this.value = value
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this.frequency = frequency
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return Object.seal(this)
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}
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}
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class DoubleLinkedList {
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// Double Linked List built specifically for LFU Cache
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constructor () {
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this.head = new DoubleLinkedListNode(null, null)
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this.rear = new DoubleLinkedListNode(null, null)
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this.head.next = this.rear
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this.rear.prev = this.head
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// This frequency map class will act like javascript Map DS with more two custom method refresh & insert
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class FrequencyMap extends Map {
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static get [Symbol.species] () { return Map } // for using Symbol.species we can access Map constructor @see -> https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Map/@@species
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get [Symbol.toStringTag] () { return '' }
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/**
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* @method refresh
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* @description - It's revive a CacheNode, increment of this nodes frequency and refresh the frequencyMap via new incremented nodes frequency
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* @param {CacheNode} node
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*/
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refresh (node) {
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const { frequency } = node
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const freqSet = this.get(frequency)
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freqSet.delete(node)
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node.frequency++
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this.insert(node)
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}
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_positionNode (node) {
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// Helper function to position a node based on the frequency of the key
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while (node.prev.key && node.prev.freq > node.freq) {
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const node1 = node
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const node2 = node.prev
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node1.prev = node2.prev
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node2.next = node1.prev
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node1.next = node2
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node2.prev = node1
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/**
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* @method insert
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* @description - Add new CacheNode into HashSet by the frequency
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* @param {CacheNode} node
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*/
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insert (node) {
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const { frequency } = node
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if (!this.has(frequency)) {
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this.set(frequency, new Set())
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}
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}
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add (node) {
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// Adds the given node to the end of the list (before rear) and positions it based on frequency
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const temp = this.rear.prev
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temp.next = node
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node.prev = temp
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this.rear.prev = node
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node.next = this.rear
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this._positionNode(node)
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}
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remove (node) {
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// Removes and returns the given node from the list
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const tempLast = node.prev
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const tempNext = node.next
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node.prev = null
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node.next = null
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tempLast.next = tempNext
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tempNext.prev = tempLast
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return node
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this.get(frequency).add(node)
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}
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}
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class LFUCache {
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// LFU Cache to store a given capacity of data
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// The Double Linked List is used to store the order of deletion from the cache
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// The rear.prev holds the most frequently used key and the head.next holds the least used key
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// When the number of elements reaches the capacity, the least frequently used item is removed before adding the next key
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constructor (capacity) {
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this.list = new DoubleLinkedList()
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this.capacity = capacity
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this.numKeys = 0
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this.hits = 0
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this.miss = 0
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this.cache = {}
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}
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#capacity
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#frequencyMap
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cacheInfo () {
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// Return the details for the cache instance [hits, misses, capacity, current_size]
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return `CacheInfo(hits=${this.hits}, misses=${this.miss}, capacity=${this.capacity}, current size=${this.numKeys})`
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}
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/**
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* @param {number} capacity - The range of LFUCache
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* @returns {LFUCache} - sealed
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*/
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constructor (capacity) {
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this.#capacity = capacity
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this.#frequencyMap = new FrequencyMap()
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this.misses = 0
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this.hits = 0
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this.cache = new Map()
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set (key, value) {
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// Sets the value for the input key and updates the Double Linked List
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if (!(key in this.cache)) {
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if (this.numKeys >= this.capacity) {
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const keyToDelete = this.list.head.next.key
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this.list.remove(this.cache[keyToDelete])
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delete this.cache[keyToDelete]
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this.numKeys -= 1
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return Object.seal(this)
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}
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/**
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* Get the capacity of the LFUCache
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* @returns {number}
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*/
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get capacity () {
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return this.#capacity
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}
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/**
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* Get the current size of LFUCache
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* @returns {number}
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*/
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get size () {
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return this.cache.size
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}
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/**
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* Set the capacity of the LFUCache if you decrease the capacity its removed CacheNodes following the LFU - least frequency used
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*/
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set capacity (newCapacity) {
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if (this.#capacity > newCapacity) {
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let diff = this.#capacity - newCapacity // get the decrement number of capacity
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while (diff--) {
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this.#removeCacheNode()
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}
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this.cache.size === 0 && this.#frequencyMap.clear()
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}
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this.cache[key] = new DoubleLinkedListNode(key, value)
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this.list.add(this.cache[key])
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this.numKeys += 1
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} else {
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const node = this.list.remove(this.cache[key])
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node.val = value
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this.list.add(node)
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}
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}
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get (key) {
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// Returns the value for the input key and updates the Double Linked List. Returns null if key is not present in cache
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if (key in this.cache) {
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this.hits += 1
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this.list.add(this.list.remove(this.cache[key]))
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return this.cache[key].val
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this.#capacity = newCapacity
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}
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get info () {
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return Object.freeze({
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misses: this.misses,
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hits: this.hits,
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capacity: this.capacity,
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currentSize: this.size,
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leastFrequency: this.leastFrequency
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})
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}
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get leastFrequency () {
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const freqCacheIterator = this.#frequencyMap.keys()
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let leastFrequency = freqCacheIterator.next().value || null
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// select the non-empty frequency Set
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while (this.#frequencyMap.get(leastFrequency)?.size === 0) {
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leastFrequency = freqCacheIterator.next().value
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}
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return leastFrequency
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}
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#removeCacheNode () {
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const leastFreqSet = this.#frequencyMap.get(this.leastFrequency)
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// Select the least recently used node from the least Frequency set
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const LFUNode = leastFreqSet.values().next().value
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leastFreqSet.delete(LFUNode)
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this.cache.delete(LFUNode.key)
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}
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/**
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* if key exist then return true otherwise false
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* @param {any} key
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* @returns {boolean}
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*/
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has (key) {
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key = String(key) // converted to string
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return this.cache.has(key)
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}
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/**
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* @method get
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* @description - This method return the value of key & refresh the frequencyMap by the oldNode
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* @param {string} key
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* @returns {any}
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*/
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get (key) {
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key = String(key) // converted to string
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if (this.cache.has(key)) {
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const oldNode = this.cache.get(key)
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this.#frequencyMap.refresh(oldNode)
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this.hits++
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return oldNode.value
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}
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this.misses++
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return null
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}
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/**
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* @method set
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* @description - This method stored the value by key & add frequency if it doesn't exist
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* @param {string} key
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* @param {any} value
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* @param {number} frequency
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* @returns {LFUCache}
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*/
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set (key, value, frequency = 1) {
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key = String(key) // converted to string
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if (this.#capacity === 0) {
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throw new RangeError('LFUCache ERROR: The Capacity is 0')
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}
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if (this.cache.has(key)) {
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const node = this.cache.get(key)
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node.value = value
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this.#frequencyMap.refresh(node)
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return this
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}
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// if the cache size is full, then it's delete the Least Frequency Used node
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if (this.#capacity === this.cache.size) {
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this.#removeCacheNode()
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}
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const newNode = new CacheNode(key, value, frequency)
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this.cache.set(key, newNode)
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this.#frequencyMap.insert(newNode)
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return this
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}
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/**
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* @method parse
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* @description - This method receive a valid LFUCache JSON & run JSON.prase() method and merge with existing LFUCache
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* @param {JSON} json
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* @returns {LFUCache} - merged
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*/
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parse (json) {
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const { misses, hits, cache } = JSON.parse(json)
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this.misses += misses ?? 0
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this.hits += hits ?? 0
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for (const key in cache) {
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const { value, frequency } = cache[key]
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this.set(key, value, frequency)
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}
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return this
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}
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/**
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* @method clear
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* @description - This method cleared the whole LFUCache
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* @returns {LFUCache}
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*/
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clear () {
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this.cache.clear()
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this.#frequencyMap.clear()
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return this
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}
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/**
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* @method toString
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* @description - This method generate a JSON format of LFUCache & return it.
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* @param {number} indent
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* @returns {string} - JSON
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*/
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toString (indent) {
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const replacer = (_, value) => {
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if (value instanceof Set) {
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return [...value]
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}
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if (value instanceof Map) {
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return Object.fromEntries(value)
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}
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return value
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}
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return JSON.stringify(this, replacer, indent)
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}
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this.miss += 1
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return null
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}
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}
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export { LFUCache }
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export default LFUCache
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