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092e69f
Create ARCCache.java
devxadarsh Apr 23, 2024
45fb360
Delete src/main/java/com/thealgorithms/datastructures/caches/ARCCache…
devxadarsh Apr 23, 2024
bfb26f6
Adaptive Replacement Cache (ARC)
devxadarsh Apr 23, 2024
4d5a396
Update ARCCache.java
devxadarsh Apr 23, 2024
5249c26
Added ARCCacheTest.java
devxadarsh Apr 23, 2024
afc2e19
Update src/main/java/com/thealgorithms/datastructures/caches/ARCCache…
devxadarsh Apr 24, 2024
67e2053
Update src/main/java/com/thealgorithms/datastructures/caches/ARCCache…
devxadarsh Apr 24, 2024
e27f0b8
Update src/main/java/com/thealgorithms/datastructures/caches/ARCCache…
devxadarsh Apr 24, 2024
1589701
Update src/main/java/com/thealgorithms/datastructures/caches/ARCCache…
devxadarsh Apr 24, 2024
600554c
Update ARCCache.java
devxadarsh Apr 24, 2024
fa53c3c
Update ARCCacheTest.java
devxadarsh Apr 24, 2024
91a9c9c
Merge branch 'TheAlgorithms:master' into master
devxadarsh May 1, 2024
c0b4e63
Merge branch 'master' into master
devxadarsh May 1, 2024
b70bf14
Merge branch 'TheAlgorithms:master' into master
devxadarsh May 8, 2024
75b9f7e
Updated capacity method
Adarshdm May 8, 2024
538fb49
Merge pull request #1 from devxadarsh/work
devxadarsh May 8, 2024
3007f2d
Updated capacity method
Adarshdm May 8, 2024
235471f
Merge pull request #2 from devxadarsh/work
devxadarsh May 8, 2024
3dbb1ae
Merge branch 'TheAlgorithms:master' into master
devxadarsh May 8, 2024
04be243
Updated Imports
devxadarsh May 8, 2024
5b68052
Merge branch 'master' into master
devxadarsh May 25, 2024
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132 changes: 132 additions & 0 deletions src/main/java/com/thealgorithms/datastructures/caches/ARCCache.java
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package com.thealgorithms.datastructures.caches;

import java.util.LinkedHashMap;
import java.util.Map;
/**
* Adaptive Replacement Cache (ARC)
* <p>
* dynamically adjusts cache size based on recent access patterns.
* It aims to provide better performance compared to traditional caching algorithms
* like LRU (Least Recently Used) and LFU (Least Frequently Used).
* It combines elements of LRU (Least Recently Used) and LFU (Least Frequently Used) algorithms
* to efficiently manage frequently accessed and recently used items,
* optimizing cache performance in changing workload scenarios.
* <a href="https://en.wikipedia.org/wiki/Adaptive_replacement_cache">...</a>
* @author Adarsh Pandey (<a href="https://github.com/devxadarsh">...</a>)
*
* @param <K> key type
* @param <V> value type
*/

public class ARCCache<K, V> {
private final Map<K, V> cache;
private final LinkedHashMap<K, Integer> usageCounts;
private final int t1Capacity; // Capacity for the t1 cache
private final int b1Capacity; // Capacity for the b1 cache
private int totalCount;

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/**
* This constructor initializes an ARCCache object with the given capacity and initializes other necessary fields
* @param capacity the initial capacity of the cache
* @throws IllegalArgumentException if the capacity is negative
*/
public ARCCache(int capacity) {
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if (capacity < 0) {
throw new IllegalArgumentException("Capacity cannot be negative");
}
this.cache = new LinkedHashMap<>();
this.usageCounts = new LinkedHashMap<>();
this.t1Capacity = capacity / 2; // Capacity for the t1 cache
this.b1Capacity = capacity - t1Capacity; // Capacity for the b1 cache
this.totalCount = 0;
}

/**
* Returns the total capacity of the cache
*
* @return the total capacity of the cache
*/
private int capacity() {
return t1Capacity + b1Capacity;
}

/**
* Retrieves the value associated with the given key from the cache.
* If the key is present in the cache, its usage count is incremented.
*
* @param key the key whose associated value is to be retrieved
* @return the value associated with the key, or null if the key is not present in the cache
*/
public V get(K key) {
if (cache.containsKey(key)) {
usageCounts.put(key, usageCounts.getOrDefault(key, 0) + 1);
return cache.get(key);
}
return null;
}

/**
* Adds the specified key-value pair to the cache.
* If the cache exceeds its capacity after adding the new entry, eviction is performed.
* Updates the usage count for the added key.
*
* @param key the key with which the specified value is to be associated
* @param value the value to be associated with the specified key
*/
public void put(K key, V value) {
if (cache.size() >= capacity()) {
evict();
}
cache.put(key, value);
usageCounts.put(key, 1);
totalCount++;
}

/**
* Evicts an item from the cache when it exceeds its capacity.
* Implements the Adaptive Replacement Cache (ARC) algorithm logic for eviction.
* Removes the least recently used item based on its usage count.
*/
private void evict() {
if (!cache.isEmpty()) {
K keyToRemove = null;
int minUsageCount = Integer.MAX_VALUE;
for (Map.Entry<K, Integer> entry : usageCounts.entrySet()) {
if (entry.getValue() < minUsageCount) {
keyToRemove = entry.getKey();
minUsageCount = entry.getValue();
}
}
cache.remove(keyToRemove);
usageCounts.remove(keyToRemove);
totalCount--;
adjustCacheSize();
}
}

/**
* Adjust the cache sizes based on t1capacity and b1capacity after eviction from cache
*/
private void adjustCacheSize() {
if (cache.size() > capacity()) {
int excess = cache.size() - capacity();
int t1Size = cache.size() - b1Capacity;
while (excess > 0 && !cache.isEmpty()) {
K keyToRemove = usageCounts.keySet().iterator().next();
if (t1Size > t1Capacity || (t1Size > 0 && usageCounts.get(keyToRemove) > 1)) {
cache.remove(keyToRemove);
usageCounts.remove(keyToRemove);
totalCount--;
if (t1Size > 0) {
t1Size--;
}
} else {
cache.remove(keyToRemove);
usageCounts.remove(keyToRemove);
totalCount--;
}
excess--;
}
}
}
}
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package com.thealgorithms.datastructures.caches;

import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertNull;

import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;

public class ARCCacheTest {
private ARCCache<Integer, String> cache;

@BeforeEach
public void setUp() {
int t1Capacity = 2;
int b1Capacity = 1;
int totalCapacity = t1Capacity + b1Capacity;
cache = new ARCCache<>(totalCapacity); // Set capacity to 3 for testing purposes
}

@Test
public void testPutAndGet() {
cache.put(1, "Value1");
cache.put(2, "Value2");
cache.put(3, "Value3");

assertEquals("Value1", cache.get(1));
assertEquals("Value2", cache.get(2));
assertEquals("Value3", cache.get(3));
}

@Test
public void testEviction() {
cache.put(1, "Value1");
cache.put(2, "Value2");
cache.put(3, "Value3");

cache.put(4, "Value4"); // This should evict key 1

assertNull(cache.get(1)); // Key 1 should have been evicted
assertEquals("Value2", cache.get(2)); // Other keys should still be present
assertEquals("Value3", cache.get(3));
assertEquals("Value4", cache.get(4));
}

@Test
public void nullKeysAndValues() {
cache.put(null, "Value1");
cache.put(2, null);

assertEquals("Value1", cache.get(null));
assertNull(cache.get(2));
assertNull(cache.get(6));
}

@Test
public void testRepeatedGet() {
cache.put(1, "Value1");

// Repeated get calls should not affect eviction
cache.get(1);
cache.get(1);
cache.get(1);

// Adding new elements should still evict old ones
cache.put(2, "Value2");
cache.put(3, "Value3");
cache.put(4, "Value4");

assertNull(cache.get(2)); // Key 2 should have been evicted
assertEquals("Value1", cache.get(1)); // Other keys should still be present
assertEquals("Value3", cache.get(3)); // Other keys should still be present
}
}