/*
 * Copyright 2004-2014 H2 Group. Multiple-Licensed under the MPL 2.0,
 * and the EPL 1.0 (http://h2database.com/html/license.html).
 * Initial Developer: H2 Group
 */
package org.h2.dev.cache;

import java.util.AbstractMap;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;

/**
 * A scan resistant cache. It is meant to cache objects that are relatively
 * costly to acquire, for example file content.
 * <p>
 * This implementation is multi-threading safe and supports concurrent access.
 * Null keys or null values are not allowed. The map fill factor is at most 75%.
 * <p>
 * Each entry is assigned a distinct memory size, and the cache will try to use
 * at most the specified amount of memory. The memory unit is not relevant,
 * however it is suggested to use bytes as the unit.
 * <p>
 * This class implements an approximation of the the LIRS replacement algorithm
 * invented by Xiaodong Zhang and Song Jiang as described in
 * http://www.cse.ohio-state.edu/~zhang/lirs-sigmetrics-02.html with a few
 * smaller changes: An additional queue for non-resident entries is used, to
 * prevent unbound memory usage. The maximum size of this queue is at most the
 * size of the rest of the stack. About 6.25% of the mapped entries are cold.
 * <p>
 * Internally, the cache is split into a number of segments, and each segment is
 * an individual LIRS cache.
 * <p>
 * Accessed entries are only moved to the top of the stack if at least a number
 * of other entries have been moved to the front (1% by default). Write access
 * and moving entries to the top of the stack is synchronized per segment.
 *
 * @author Thomas Mueller
 * @param <K> the key type
 * @param <V> the value type
 */
public class CacheLIRS<K, V> extends AbstractMap<K, V> {

    /**
     * The maximum memory this cache should use.
     */
    private long maxMemory;

    /**
     * The average memory used by one entry.
     */
    private int averageMemory;

    private final Segment<K, V>[] segments;

    private final int segmentCount;
    private final int segmentShift;
    private final int segmentMask;
    private final int stackMoveDistance;


    /**
     * Create a new cache with the given number of entries, and the default
     * settings (an average size of 1 per entry, 16 segments, and stack move
     * distance equals to the maximum number of entries divided by 100).
     *
     * @param maxEntries the maximum number of entries
     */
    public CacheLIRS(int maxEntries) {
        this(maxEntries, 1, 16, maxEntries / 100);
    }

    /**
     * Create a new cache with the given memory size.
     *
     * @param maxMemory the maximum memory to use (1 or larger)
     * @param averageMemory the average memory (1 or larger)
     * @param segmentCount the number of cache segments (must be a power of 2)
     * @param stackMoveDistance how many other item are to be moved to the top
     *        of the stack before the current item is moved
     */
    @SuppressWarnings("unchecked")
    public CacheLIRS(long maxMemory, int averageMemory, int segmentCount,
            int stackMoveDistance) {
        setMaxMemory(maxMemory);
        setAverageMemory(averageMemory);
        if (Integer.bitCount(segmentCount) != 1) {
            throw new IllegalArgumentException(
                    "The segment count must be a power of 2, is "
                            + segmentCount);
        }
        this.segmentCount = segmentCount;
        this.segmentMask = segmentCount - 1;
        this.stackMoveDistance = stackMoveDistance;
        segments = new Segment[segmentCount];
        clear();
        this.segmentShift = Integer.numberOfTrailingZeros(segments[0].entries.length);
    }

    /**
     * Remove all entries.
     */
    @Override
    public void clear() {
        long max = Math.max(1, maxMemory / segmentCount);
        for (int i = 0; i < segmentCount; i++) {
            segments[i] = new Segment<K, V>(
                    this, max, averageMemory, stackMoveDistance);
        }
    }

    private Entry<K, V> find(Object key) {
        int hash = getHash(key);
        return getSegment(hash).find(key, hash);
    }

    /**
     * Check whether there is a resident entry for the given key. This
     * method does not adjust the internal state of the cache.
     *
     * @param key the key (may not be null)
     * @return true if there is a resident entry
     */
    @Override
    public boolean containsKey(Object key) {
        int hash = getHash(key);
        return getSegment(hash).containsKey(key, hash);
    }

    /**
     * Get the value for the given key if the entry is cached. This method does
     * not modify the internal state.
     *
     * @param key the key (may not be null)
     * @return the value, or null if there is no resident entry
     */
    public V peek(K key) {
        Entry<K, V> e = find(key);
        return e == null ? null : e.value;
    }

    /**
     * Add an entry to the cache. The entry may or may not exist in the
     * cache yet. This method will usually mark unknown entries as cold and
     * known entries as hot.
     *
     * @param key the key (may not be null)
     * @param value the value (may not be null)
     * @param memory the memory used for the given entry
     * @return the old value, or null if there was no resident entry
     */
    public V put(K key, V value, int memory) {
        int hash = getHash(key);
        return getSegment(hash).put(key, hash, value, memory);
    }

    /**
     * Add an entry to the cache using the average memory size.
     *
     * @param key the key (may not be null)
     * @param value the value (may not be null)
     * @return the old value, or null if there was no resident entry
     */
    @Override
    public V put(K key, V value) {
        return put(key, value, sizeOf(key, value));
    }

    /**
     * Get the size of the given value. The default implementation returns the
     * average memory as configured for this cache.
     *
     * @param key the key
     * @param value the value
     * @return the size
     */
    protected int sizeOf(K key, V value) {
        return averageMemory;
    }

    /**
     * This method is called after the value for the given key was removed.
     * It is not called on clear or put when replacing a value.
     *
     * @param key the key
     */
    protected void onRemove(K key) {
        // do nothing
    }

    /**
     * Remove an entry. Both resident and non-resident entries can be
     * removed.
     *
     * @param key the key (may not be null)
     * @return the old value, or null if there was no resident entry
     */
    @Override
    public synchronized V remove(Object key) {
        int hash = getHash(key);
        return getSegment(hash).remove(key, hash);
    }

    /**
     * Get the memory used for the given key.
     *
     * @param key the key (may not be null)
     * @return the memory, or 0 if there is no resident entry
     */
    public int getMemory(K key) {
        int hash = getHash(key);
        return getSegment(hash).getMemory(key, hash);
    }

    /**
     * Get the value for the given key if the entry is cached. This method
     * adjusts the internal state of the cache sometimes, to ensure commonly
     * used entries stay in the cache.
     *
     * @param key the key (may not be null)
     * @return the value, or null if there is no resident entry
     */
    @Override
    public V get(Object key) {
        int hash = getHash(key);
        return getSegment(hash).get(key, hash);
    }

    private Segment<K, V> getSegment(int hash) {
        int segmentIndex = (hash >>> segmentShift) & segmentMask;
        return segments[segmentIndex];
    }

    /**
     * Get the hash code for the given key. The hash code is
     * further enhanced to spread the values more evenly.
     *
     * @param key the key
     * @return the hash code
     */
    static int getHash(Object key) {
        int hash = key.hashCode();
        // a supplemental secondary hash function
        // to protect against hash codes that don't differ much
        hash = ((hash >>> 16) ^ hash) * 0x45d9f3b;
        hash = ((hash >>> 16) ^ hash) * 0x45d9f3b;
        hash = (hash >>> 16) ^ hash;
        return hash;
    }

    /**
     * Get the currently used memory.
     *
     * @return the used memory
     */
    public long getUsedMemory() {
        long x = 0;
        for (Segment<K, V> s : segments) {
            x += s.usedMemory;
        }
        return x;
    }

    /**
     * Set the maximum memory this cache should use. This will not
     * immediately cause entries to get removed however; it will only change
     * the limit. To resize the internal array, call the clear method.
     *
     * @param maxMemory the maximum size (1 or larger)
     */
    public void setMaxMemory(long maxMemory) {
        if (maxMemory <= 0) {
            throw new IllegalArgumentException("Max memory must be larger than 0");
        }
        this.maxMemory = maxMemory;
        if (segments != null) {
            long max = 1 + maxMemory / segments.length;
            for (Segment<K, V> s : segments) {
                s.setMaxMemory(max);
            }
        }
    }

    /**
     * Set the average memory used per entry. It is used to calculate the
     * length of the internal array.
     *
     * @param averageMemory the average memory used (1 or larger)
     */
    public void setAverageMemory(int averageMemory) {
        if (averageMemory <= 0) {
            throw new IllegalArgumentException("Average memory must be larger than 0");
        }
        this.averageMemory = averageMemory;
        if (segments != null) {
            for (Segment<K, V> s : segments) {
                s.setAverageMemory(averageMemory);
            }
        }
    }

    /**
     * Get the average memory used per entry.
     *
     * @return the average memory
     */
    public int getAverageMemory() {
        return averageMemory;
    }

    /**
     * Get the maximum memory to use.
     *
     * @return the maximum memory
     */
    public long getMaxMemory() {
        return maxMemory;
    }

    /**
     * Get the entry set for all resident entries.
     *
     * @return the entry set
     */
    @Override
    public synchronized Set<Map.Entry<K, V>> entrySet() {
        HashMap<K, V> map = new HashMap<K, V>();
        for (K k : keySet()) {
            map.put(k,  find(k).value);
        }
        return map.entrySet();
    }

    /**
     * Get the set of keys for resident entries.
     *
     * @return the set of keys
     */
    @Override
    public synchronized Set<K> keySet() {
        HashSet<K> set = new HashSet<K>();
        for (Segment<K, V> s : segments) {
            set.addAll(s.keySet());
        }
        return set;
    }

    /**
     * Get the number of non-resident entries in the cache.
     *
     * @return the number of non-resident entries
     */
    public int sizeNonResident() {
        int x = 0;
        for (Segment<K, V> s : segments) {
            x += s.queue2Size;
        }
        return x;
    }

    /**
     * Get the length of the internal map array.
     *
     * @return the size of the array
     */
    public int sizeMapArray() {
        int x = 0;
        for (Segment<K, V> s : segments) {
            x += s.entries.length;
        }
        return x;
    }

    /**
     * Get the number of hot entries in the cache.
     *
     * @return the number of hot entries
     */
    public int sizeHot() {
        int x = 0;
        for (Segment<K, V> s : segments) {
            x += s.mapSize - s.queueSize - s.queue2Size;
        }
        return x;
    }

    /**
     * Get the number of resident entries.
     *
     * @return the number of entries
     */
    @Override
    public int size() {
        int x = 0;
        for (Segment<K, V> s : segments) {
            x += s.mapSize - s.queue2Size;
        }
        return x;
    }

    /**
     * Get the list of keys. This method allows to read the internal state of
     * the cache.
     *
     * @param cold if true, only keys for the cold entries are returned
     * @param nonResident true for non-resident entries
     * @return the key list
     */
    public synchronized List<K> keys(boolean cold, boolean nonResident) {
        ArrayList<K> keys = new ArrayList<K>();
        for (Segment<K, V> s : segments) {
            keys.addAll(s.keys(cold, nonResident));
        }
        return keys;
    }

    /**
     * A cache segment
     *
     * @param <K> the key type
     * @param <V> the value type
     */
    static class Segment<K, V> {

        /**
         * The number of (hot, cold, and non-resident) entries in the map.
         */
        int mapSize;

        /**
         * The size of the LIRS queue for resident cold entries.
         */
        int queueSize;

        /**
         * The size of the LIRS queue for non-resident cold entries.
         */
        int queue2Size;

        /**
         * The map array. The size is always a power of 2.
         */
        Entry<K, V>[] entries;

        /**
         * The currently used memory.
         */
        long usedMemory;

        private final CacheLIRS<K, V> cache;

        /**
         * How many other item are to be moved to the top of the stack before
         * the current item is moved.
         */
        private final int stackMoveDistance;

        /**
         * The maximum memory this cache should use.
         */
        private long maxMemory;

        /**
         * The average memory used by one entry.
         */
        private int averageMemory;

        /**
         * The bit mask that is applied to the key hash code to get the index in
         * the map array. The mask is the length of the array minus one.
         */
        private int mask;

        /**
         * The LIRS stack size.
         */
        private int stackSize;

        /**
         * The stack of recently referenced elements. This includes all hot
         * entries, the recently referenced cold entries, and all non-resident
         * cold entries.
         * <p>
         * There is always at least one entry: the head entry.
         */
        private Entry<K, V> stack;

        /**
         * The queue of resident cold entries.
         * <p>
         * There is always at least one entry: the head entry.
         */
        private Entry<K, V> queue;

        /**
         * The queue of non-resident cold entries.
         * <p>
         * There is always at least one entry: the head entry.
         */
        private Entry<K, V> queue2;

        /**
         * The number of times any item was moved to the top of the stack.
         */
        private int stackMoveCounter;

        /**
         * Create a new cache.
         *
         * @param cache the cache
         * @param maxMemory the maximum memory to use
         * @param averageMemory the average memory usage of an object
         * @param stackMoveDistance the number of other entries to be moved to
         *        the top of the stack before moving an entry to the top
         */
        Segment(CacheLIRS<K, V> cache, long maxMemory, int averageMemory,
                int stackMoveDistance) {
            this.cache = cache;
            setMaxMemory(maxMemory);
            setAverageMemory(averageMemory);
            this.stackMoveDistance = stackMoveDistance;
            clear();
        }

        private void clear() {

            // calculate the size of the map array
            // assume a fill factor of at most 80%
            long maxLen = (long) (maxMemory / averageMemory / 0.75);
            // the size needs to be a power of 2
            long l = 8;
            while (l < maxLen) {
                l += l;
            }
            // the array size is at most 2^31 elements
            int len = (int) Math.min(1L << 31, l);
            // the bit mask has all bits set
            mask = len - 1;

            // initialize the stack and queue heads
            stack = new Entry<K, V>();
            stack.stackPrev = stack.stackNext = stack;
            queue = new Entry<K, V>();
            queue.queuePrev = queue.queueNext = queue;
            queue2 = new Entry<K, V>();
            queue2.queuePrev = queue2.queueNext = queue2;

            // first set to null - avoiding out of memory
            entries = null;
            @SuppressWarnings("unchecked")
            Entry<K, V>[] e = new Entry[len];
            entries = e;

            mapSize = 0;
            usedMemory = 0;
            stackSize = queueSize = queue2Size = 0;
        }

        /**
         * Get the memory used for the given key.
         *
         * @param key the key (may not be null)
         * @param hash the hash
         * @return the memory, or 0 if there is no resident entry
         */
        int getMemory(K key, int hash) {
            Entry<K, V> e = find(key, hash);
            return e == null ? 0 : e.memory;
        }

        /**
         * Get the value for the given key if the entry is cached. This method
         * adjusts the internal state of the cache sometimes, to ensure commonly
         * used entries stay in the cache.
         *
         * @param key the key (may not be null)
         * @param hash the hash
         * @return the value, or null if there is no resident entry
         */
        V get(Object key, int hash) {
            Entry<K, V> e = find(key, hash);
            if (e == null) {
                // the entry was not found
                return null;
            }
            V value = e.value;
            if (value == null) {
                // it was a non-resident entry
                return null;
            }
            if (e.isHot()) {
                if (e != stack.stackNext) {
                    if (stackMoveDistance == 0
                            || stackMoveCounter - e.topMove > stackMoveDistance) {
                        access(key, hash);
                    }
                }
            } else {
                access(key, hash);
            }
            return value;
        }

        /**
         * Access an item, moving the entry to the top of the stack or front of
         * the queue if found.
         *
         * @param key the key
         */
        private synchronized void access(Object key, int hash) {
            Entry<K, V> e = find(key, hash);
            if (e == null || e.value == null) {
                return;
            }
            if (e.isHot()) {
                if (e != stack.stackNext) {
                    if (stackMoveDistance == 0
                            || stackMoveCounter - e.topMove > stackMoveDistance) {
                        // move a hot entry to the top of the stack
                        // unless it is already there
                        boolean wasEnd = e == stack.stackPrev;
                        removeFromStack(e);
                        if (wasEnd) {
                            // if moving the last entry, the last entry
                            // could now be cold, which is not allowed
                            pruneStack();
                        }
                        addToStack(e);
                    }
                }
            } else {
                removeFromQueue(e);
                if (e.stackNext != null) {
                    // resident cold entries become hot
                    // if they are on the stack
                    removeFromStack(e);
                    // which means a hot entry needs to become cold
                    // (this entry is cold, that means there is at least one
                    // more entry in the stack, which must be hot)
                    convertOldestHotToCold();
                } else {
                    // cold entries that are not on the stack
                    // move to the front of the queue
                    addToQueue(queue, e);
                }
                // in any case, the cold entry is moved to the top of the stack
                addToStack(e);
            }
        }

        /**
         * Add an entry to the cache. The entry may or may not exist in the
         * cache yet. This method will usually mark unknown entries as cold and
         * known entries as hot.
         *
         * @param key the key (may not be null)
         * @param hash the hash
         * @param value the value (may not be null)
         * @param memory the memory used for the given entry
         * @return the old value, or null if there was no resident entry
         */
        synchronized V put(K key, int hash, V value, int memory) {
            if (value == null) {
                throw new NullPointerException("The value may not be null");
            }
            V old;
            Entry<K, V> e = find(key, hash);
            if (e == null) {
                old = null;
            } else {
                old = e.value;
                remove(key, hash);
            }
            e = new Entry<K, V>();
            e.key = key;
            e.value = value;
            e.memory = memory;
            int index = hash & mask;
            e.mapNext = entries[index];
            entries[index] = e;
            usedMemory += memory;
            if (usedMemory > maxMemory && mapSize > 0) {
                // an old entry needs to be removed
                evict(e);
            }
            mapSize++;
            // added entries are always added to the stack
            addToStack(e);
            return old;
        }

        /**
         * Remove an entry. Both resident and non-resident entries can be
         * removed.
         *
         * @param key the key (may not be null)
         * @param hash the hash
         * @return the old value, or null if there was no resident entry
         */
        synchronized V remove(Object key, int hash) {
            int index = hash & mask;
            Entry<K, V> e = entries[index];
            if (e == null) {
                return null;
            }
            V old;
            if (e.key.equals(key)) {
                old = e.value;
                entries[index] = e.mapNext;
            } else {
                Entry<K, V> last;
                do {
                    last = e;
                    e = e.mapNext;
                    if (e == null) {
                        return null;
                    }
                } while (!e.key.equals(key));
                old = e.value;
                last.mapNext = e.mapNext;
            }
            mapSize--;
            usedMemory -= e.memory;
            if (e.stackNext != null) {
                removeFromStack(e);
            }
            if (e.isHot()) {
                // when removing a hot entry, the newest cold entry gets hot,
                // so the number of hot entries does not change
                e = queue.queueNext;
                if (e != queue) {
                    removeFromQueue(e);
                    if (e.stackNext == null) {
                        addToStackBottom(e);
                    }
                }
            } else {
                removeFromQueue(e);
            }
            pruneStack();
            return old;
        }

        /**
         * Evict cold entries (resident and non-resident) until the memory limit
         * is reached. The new entry is added as a cold entry, except if it is
         * the only entry.
         *
         * @param newCold a new cold entry
         */
        private void evict(Entry<K, V> newCold) {
            // ensure there are not too many hot entries: right shift of 5 is
            // division by 32, that means if there are only 1/32 (3.125%) or
            // less cold entries, a hot entry needs to become cold
            while (queueSize <= (mapSize >>> 5) && stackSize > 0) {
                convertOldestHotToCold();
            }
            if (stackSize > 0) {
                // the new cold entry is at the top of the queue
                addToQueue(queue, newCold);
            }
            // the oldest resident cold entries become non-resident
            // but at least one cold entry (the new one) must stay
            while (usedMemory > maxMemory && queueSize > 1) {
                Entry<K, V> e = queue.queuePrev;
                usedMemory -= e.memory;
                removeFromQueue(e);
                cache.onRemove(e.key);
                e.value = null;
                e.memory = 0;
                addToQueue(queue2, e);
                // the size of the non-resident-cold entries needs to be limited
                while (queue2Size + queue2Size > stackSize) {
                    e = queue2.queuePrev;
                    int hash = getHash(e.key);
                    remove(e.key, hash);
                }
            }
        }

        private void convertOldestHotToCold() {
            // the last entry of the stack is known to be hot
            Entry<K, V> last = stack.stackPrev;
            if (last == stack) {
                // never remove the stack head itself (this would mean the
                // internal structure of the cache is corrupt)
                throw new IllegalStateException();
            }
            // remove from stack - which is done anyway in the stack pruning,
            // but we can do it here as well
            removeFromStack(last);
            // adding an entry to the queue will make it cold
            addToQueue(queue, last);
            pruneStack();
        }

        /**
         * Ensure the last entry of the stack is cold.
         */
        private void pruneStack() {
            while (true) {
                Entry<K, V> last = stack.stackPrev;
                // must stop at a hot entry or the stack head,
                // but the stack head itself is also hot, so we
                // don't have to test it
                if (last.isHot()) {
                    break;
                }
                // the cold entry is still in the queue
                removeFromStack(last);
            }
        }

        /**
         * Try to find an entry in the map.
         *
         * @param key the key
         * @param hash the hash
         * @return the entry (might be a non-resident)
         */
        Entry<K, V> find(Object key, int hash) {
            int index = hash & mask;
            Entry<K, V> e = entries[index];
            while (e != null && !e.key.equals(key)) {
                e = e.mapNext;
            }
            return e;
        }

        private void addToStack(Entry<K, V> e) {
            e.stackPrev = stack;
            e.stackNext = stack.stackNext;
            e.stackNext.stackPrev = e;
            stack.stackNext = e;
            stackSize++;
            e.topMove = stackMoveCounter++;
        }

        private void addToStackBottom(Entry<K, V> e) {
            e.stackNext = stack;
            e.stackPrev = stack.stackPrev;
            e.stackPrev.stackNext = e;
            stack.stackPrev = e;
            stackSize++;
        }

        /**
         * Remove the entry from the stack. The head itself must not be removed.
         *
         * @param e the entry
         */
        private void removeFromStack(Entry<K, V> e) {
            e.stackPrev.stackNext = e.stackNext;
            e.stackNext.stackPrev = e.stackPrev;
            e.stackPrev = e.stackNext = null;
            stackSize--;
        }

        private void addToQueue(Entry<K, V> q, Entry<K, V> e) {
            e.queuePrev = q;
            e.queueNext = q.queueNext;
            e.queueNext.queuePrev = e;
            q.queueNext = e;
            if (e.value != null) {
                queueSize++;
            } else {
                queue2Size++;
            }
        }

        private void removeFromQueue(Entry<K, V> e) {
            e.queuePrev.queueNext = e.queueNext;
            e.queueNext.queuePrev = e.queuePrev;
            e.queuePrev = e.queueNext = null;
            if (e.value != null) {
                queueSize--;
            } else {
                queue2Size--;
            }
        }

        /**
         * Get the list of keys. This method allows to read the internal state
         * of the cache.
         *
         * @param cold if true, only keys for the cold entries are returned
         * @param nonResident true for non-resident entries
         * @return the key list
         */
        synchronized List<K> keys(boolean cold, boolean nonResident) {
            ArrayList<K> keys = new ArrayList<K>();
            if (cold) {
                Entry<K, V> start = nonResident ? queue2 : queue;
                for (Entry<K, V> e = start.queueNext; e != start; e = e.queueNext) {
                    keys.add(e.key);
                }
            } else {
                for (Entry<K, V> e = stack.stackNext; e != stack; e = e.stackNext) {
                    keys.add(e.key);
                }
            }
            return keys;
        }

        /**
         * Check whether there is a resident entry for the given key. This
         * method does not adjust the internal state of the cache.
         *
         * @param key the key (may not be null)
         * @param hash the hash
         * @return true if there is a resident entry
         */
        boolean containsKey(Object key, int hash) {
            Entry<K, V> e = find(key, hash);
            return e != null && e.value != null;
        }

        /**
         * Get the set of keys for resident entries.
         *
         * @return the set of keys
         */
        synchronized Set<K> keySet() {
            HashSet<K> set = new HashSet<K>();
            for (Entry<K, V> e = stack.stackNext; e != stack; e = e.stackNext) {
                set.add(e.key);
            }
            for (Entry<K, V> e = queue.queueNext; e != queue; e = e.queueNext) {
                set.add(e.key);
            }
            return set;
        }

        /**
         * Set the maximum memory this cache should use. This will not
         * immediately cause entries to get removed however; it will only change
         * the limit. To resize the internal array, call the clear method.
         *
         * @param maxMemory the maximum size (1 or larger)
         */
        void setMaxMemory(long maxMemory) {
            if (maxMemory <= 0) {
                throw new IllegalArgumentException(
                        "Max memory must be larger than 0");
            }
            this.maxMemory = maxMemory;
        }

        /**
         * Set the average memory used per entry. It is used to calculate the
         * length of the internal array.
         *
         * @param averageMemory the average memory used (1 or larger)
         */
        void setAverageMemory(int averageMemory) {
            if (averageMemory <= 0) {
                throw new IllegalArgumentException(
                        "Average memory must be larger than 0");
            }
            this.averageMemory = averageMemory;
        }

    }

    /**
     * A cache entry. Each entry is either hot (low inter-reference recency;
     * LIR), cold (high inter-reference recency; HIR), or non-resident-cold. Hot
     * entries are in the stack only. Cold entries are in the queue, and may be
     * in the stack. Non-resident-cold entries have their value set to null and
     * are in the stack and in the non-resident queue.
     *
     * @param <K> the key type
     * @param <V> the value type
     */
    static class Entry<K, V> {

        /**
         * The key.
         */
        K key;

        /**
         * The value. Set to null for non-resident-cold entries.
         */
        V value;

        /**
         * The estimated memory used.
         */
        int memory;

        /**
         * When the item was last moved to the top of the stack.
         */
        int topMove;

        /**
         * The next entry in the stack.
         */
        Entry<K, V> stackNext;

        /**
         * The previous entry in the stack.
         */
        Entry<K, V> stackPrev;

        /**
         * The next entry in the queue (either the resident queue or the
         * non-resident queue).
         */
        Entry<K, V> queueNext;

        /**
         * The previous entry in the queue.
         */
        Entry<K, V> queuePrev;

        /**
         * The next entry in the map
         */
        Entry<K, V> mapNext;

        /**
         * Whether this entry is hot. Cold entries are in one of the two queues.
         *
         * @return whether the entry is hot
         */
        boolean isHot() {
            return queueNext == null;
        }

    }

}
