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package com.sun.faces.util;

import java.util.Collection;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.locks.ReentrantLock;

/**
 * This code is based off the source for ConcurrentHashMap from JDK 5 with the
 * ability of mapping multiple keys to a single value.
 *
 * 
    *
  • * This Map implemenation does not support iteration through keys * and/or values. *
  • *
  • * This Map implementation is NOT Serialziable. *
  • *
  • * This cannot be cast as a general Map implementation. *
  • *
*/ public class MultiKeyConcurrentHashMap { /* * The basic strategy is to subdivide the table among Segments, * each of which itself is a concurrently readable hash table. */ /* ---------------- Constants -------------- */ /** * The default initial number of table slots for this table. Used when not * otherwise specified in constructor. */ static int DEFAULT_INITIAL_CAPACITY = 16; /** * The maximum capacity, used if a higher value is implicitly specified by * either of the constructors with arguments. MUST be a power of two <= * 1<<30 to ensure that entries are indexible using ints. */ static final int MAXIMUM_CAPACITY = 1 << 30; /** * The default load factor for this table. Used when not otherwise * specified in constructor. */ static final float DEFAULT_LOAD_FACTOR = 0.75f; /** * The default number of concurrency control segments. */ static final int DEFAULT_SEGMENTS = 16; /** * The maximum number of segments to allow; used to bound constructor * arguments. */ static final int MAX_SEGMENTS = 1 << 16; // slightly conservative /** * Number of unsynchronized retries in size and containsValue methods before * resorting to locking. This is used to avoid unbounded retries if tables * undergo continuous modification which would make it impossible to obtain * an accurate result. */ static final int RETRIES_BEFORE_LOCK = 2; /* ---------------- Fields -------------- */ /** * Mask value for indexing into segments. The upper bits of a key's hash * code are used to choose the segment. */ final int segmentMask; /** * Shift value for indexing within segments. */ final int segmentShift; /** * The segments, each of which is a specialized hash table */ final Segment[] segments; /* ---------------- Small Utilities -------------- */ /** * Returns a hash code for non-null Objects. Uses the same hash code * spreader as most other java.util hash tables. * * @return the hash code */ static int hash(Object x1, Object x2, Object x3, Object x4) { int h = 0; // xor one or Object hashcodes h ^= x1.hashCode(); if (x2 != null) { h ^= x2.hashCode(); } if (x3 != null) { h ^= x3.hashCode(); } if (x4 != null) { h ^= x4.hashCode(); } // the following is the standard hashing algorithm included // in the original source h += ~(h << 9); h ^= (h >>> 14); h += (h << 4); h ^= (h >>> 10); return h; } /** * Returns the segment that should be used for key with given hash * * @param hash the hash code for the key * * @return the segment */ final Segment segmentFor(int hash) { //noinspection unchecked return (Segment) segments[(hash >>> segmentShift) & segmentMask]; } /* ---------------- Inner Classes -------------- */ /** * ConcurrentHashMap list entry. Note that this is never exported out as a * user-visible Map.Entry. *

* Because the value field is volatile, not final, it is legal wrt the Java * Memory Model for an unsynchronized reader to see null instead of initial * value when read via a data race. Although a reordering leading to this * is not likely to ever actually occur, the Segment.readValueUnderLock * method is used as a backup in case a null (pre-initialized) value is ever * seen in an unsynchronized access method. */ static final class HashEntry { final K key1; final K key2; final K key3; final K key4; final int hash; volatile V value; final HashEntry next; HashEntry(K key1, K key2, K key3, K key4, int hash, HashEntry next, V value) { this.key1 = key1; this.key2 = key2; this.key3 = key3; this.key4 = key4; this.hash = hash; this.next = next; this.value = value; } } /** * Segments are specialized versions of hash tables. This subclasses from * ReentrantLock opportunistically, just to simplify some locking and avoid * separate construction. */ @SuppressWarnings({"serial"}) static final class Segment extends ReentrantLock { /* * Segments maintain a table of entry lists that are ALWAYS * kept in a consistent state, so can be read without locking. * Next fields of nodes are immutable (final). All list * additions are performed at the front of each bin. This * makes it easy to check changes, and also fast to traverse. * When nodes would otherwise be changed, new nodes are * created to replace them. This works well for hash tables * since the bin lists tend to be short. (The average length * is less than two for the default load factor threshold.) * * Read operations can thus proceed without locking, but rely * on selected uses of volatiles to ensure that completed * write operations performed by other threads are * noticed. For most purposes, the "count" field, tracking the * number of elements, serves as that volatile variable * ensuring visibility. This is convenient because this field * needs to be read in many read operations anyway: * * - All (unsynchronized) read operations must first read the * "count" field, and should not look at table entries if * it is 0. * * - All (synchronized) write operations should write to * the "count" field after structurally changing any bin. * The operations must not take any action that could even * momentarily cause a concurrent read operation to see * inconsistent data. This is made easier by the nature of * the read operations in Map. For example, no operation * can reveal that the table has grown but the threshold * has not yet been updated, so there are no atomicity * requirements for this with respect to reads. * * As a guide, all critical volatile reads and writes to the * count field are marked in code comments. */ /** * The number of elements in this segment's region. */ volatile int count; /** * Number of updates that alter the size of the table. This is used * during bulk-read methods to make sure they see a consistent snapshot: * If modCounts change during a traversal of segments computing size or * checking containsValue, then we might have an inconsistent view of * state so (usually) must retry. */ int modCount; /** * The table is rehashed when its size exceeds this threshold. (The * value of this field is always (int)(capacity * loadFactor).) */ int threshold; /** * The per-segment table. Declared as a raw type, casted to * HashEntry on each use. */ @SuppressWarnings({"NonSerializableFieldInSerializableClass"}) volatile HashEntry[] table; /** * The load factor for the hash table. Even though this value is same * for all segments, it is replicated to avoid needing links to outer * object. * * @serial */ final float loadFactor; Segment(int initialCapacity, float lf) { loadFactor = lf; setTable(new HashEntry[initialCapacity]); } /** * Set table to new HashEntry array. Call only while holding lock or in * constructor. */ void setTable(HashEntry[] newTable) { threshold = (int) (newTable.length * loadFactor); table = newTable; } /** * Return properly casted first entry of bin for given hash */ HashEntry getFirst(int hash) { HashEntry[] tab = table; //noinspection unchecked return (HashEntry) tab[hash & (tab.length - 1)]; } /** * Read value field of an entry under lock. Called if value field ever * appears to be null. This is possible only if a compiler happens to * reorder a HashEntry initialization with its table assignment, which * is legal under memory model but is not known to ever occur. */ V readValueUnderLock(HashEntry e) { lock(); try { return e.value; } finally { unlock(); } } /* Specialized implementations of map methods */ V get(Object key1, Object key2, Object key3, Object key4, int hash) { if (count != 0) { // read-volatile HashEntry e = getFirst(hash); while (e != null) { if ((e.hash == hash && key1.equals(e.key1)) && ((key2 == null && e.key2 == null) || (key2 != null && key2.equals(e.key2))) && ((key3 == null && e.key3 == null) || (key3 != null && key3.equals(e.key3))) && ((key4 == null && e.key4 == null) || (key4 != null && key4.equals(e.key4)))) { V v = e.value; if (v != null) { return v; } return readValueUnderLock(e); // recheck } e = e.next; } } return null; } boolean containsKey(Object key1, Object key2, Object key3, Object key4, int hash) { if (count != 0) { // read-volatile HashEntry e = getFirst(hash); while (e != null) { if ((e.hash == hash && key1.equals(e.key1)) && ((key2 == null && e.key2 == null) || (key2 != null && key2.equals(e.key2))) && ((key3 == null && e.key3 == null) || (key3 != null && key3.equals(e.key3))) && ((key4 == null && e.key4 == null) || (key4 != null && key4.equals(e.key4)))) { return true; } e = e.next; } } return false; } boolean containsValue(Object value) { if (count != 0) { // read-volatile HashEntry[] tab = table; int len = tab.length; for (int i = 0; i < len; i++) { for (//noinspection unchecked HashEntry e = (HashEntry) tab[i]; e != null; e = e.next) { V v = e.value; if (v == null) // recheck { v = readValueUnderLock(e); } if (value.equals(v)) { return true; } } } } return false; } boolean replace(K key1, K key2, K key3, K key4, int hash, V oldValue, V newValue) { lock(); try { HashEntry e = getFirst(hash); while (e != null && (e.hash != hash || key1 != null && !key1.equals(e.key1) || key2 != null && !key2.equals(e.key2) || key3 != null && !key3.equals(e.key3) || key4 != null && !key4.equals(e.key4))) { e = e.next; } boolean replaced = false; if (e != null && oldValue.equals(e.value)) { replaced = true; e.value = newValue; } return replaced; } finally { unlock(); } } V replace(K key1, K key2, K key3, K key4, int hash, V newValue) { lock(); try { HashEntry e = getFirst(hash); while (e != null && (e.hash != hash || key1 != null && !key1.equals(e.key1) || key2 != null && !key2.equals(e.key2) || key3 != null && !key3.equals(e.key3) || key4 != null && !key4.equals(e.key4))) { e = e.next; } V oldValue = null; if (e != null) { oldValue = e.value; e.value = newValue; } return oldValue; } finally { unlock(); } } V put(K key1, K key2, K key3, K key4, int hash, V value, boolean onlyIfAbsent) { lock(); try { int c = count; if (c++ > threshold) // ensure capacity { rehash(); } HashEntry[] tab = table; int index = hash & (tab.length - 1); //noinspection unchecked HashEntry first = (HashEntry) tab[index]; HashEntry e = first; while (e != null && (e.hash != hash || key1 != null && !key1.equals(e.key1) || key2 != null && !key2.equals(e.key2) || key3 != null && !key3.equals(e.key3) || key4 != null && !key4.equals(e.key4))) { e = e.next; } V oldValue; if (e != null) { oldValue = e.value; if (!onlyIfAbsent) { e.value = value; } } else { oldValue = null; ++modCount; tab[index] = new HashEntry(key1, key2, key3, key4, hash, first, value); count = c; // write-volatile } return oldValue; } finally { unlock(); } } void rehash() { HashEntry[] oldTable = table; int oldCapacity = oldTable.length; if (oldCapacity >= MAXIMUM_CAPACITY) { return; } /* * Reclassify nodes in each list to new Map. Because we are * using power-of-two expansion, the elements from each bin * must either stay at same index, or move with a power of two * offset. We eliminate unnecessary node creation by catching * cases where old nodes can be reused because their next * fields won't change. Statistically, at the default * threshold, only about one-sixth of them need cloning when * a table doubles. The nodes they replace will be garbage * collectable as soon as they are no longer referenced by any * reader thread that may be in the midst of traversing table * right now. */ HashEntry[] newTable = new HashEntry[oldCapacity << 1]; threshold = (int) (newTable.length * loadFactor); int sizeMask = newTable.length - 1; for (int i = 0; i < oldCapacity; i++) { // We need to guarantee that any existing reads of old Map can // proceed. So we cannot yet null out each bin. //noinspection unchecked HashEntry e = (HashEntry) oldTable[i]; if (e != null) { HashEntry next = e.next; int idx = e.hash & sizeMask; // Single node on list if (next == null) { newTable[idx] = e; } else { // Reuse trailing consecutive sequence at same slot HashEntry lastRun = e; int lastIdx = idx; for (HashEntry last = next; last != null; last = last.next) { int k = last.hash & sizeMask; if (k != lastIdx) { lastIdx = k; lastRun = last; } } newTable[lastIdx] = lastRun; // Clone all remaining nodes for (HashEntry p = e; p != lastRun; p = p.next) { int k = p.hash & sizeMask; //noinspection unchecked HashEntry n = (HashEntry) newTable[k]; newTable[k] = new HashEntry(p.key1, p.key2, p.key3, p.key4, p.hash, n, p.value); } } } } table = newTable; } /** * Remove; match on key only if value null, else match both. */ V remove(Object key1, Object key2, Object key3, Object key4, int hash, Object value) { lock(); try { int c = count - 1; HashEntry[] tab = table; int index = hash & (tab.length - 1); //noinspection unchecked HashEntry first = (HashEntry) tab[index]; HashEntry e = first; while (e != null && (e.hash != hash || key1 != null && !key1.equals(e.key1) || key2 != null && !key2.equals(e.key2) || key3 != null && !key3.equals(e.key3) || key4 != null && !key4.equals(e.key4))) { e = e.next; } V oldValue = null; if (e != null) { V v = e.value; if (value == null || value.equals(v)) { oldValue = v; // All entries following removed node can stay // in list, but all preceding ones need to be // cloned. ++modCount; HashEntry newFirst = e.next; for (HashEntry p = first; p != e; p = p.next) { newFirst = new HashEntry(p.key1, p.key2, p.key3, p.key4, p.hash, newFirst, p.value); } tab[index] = newFirst; count = c; // write-volatile } } return oldValue; } finally { unlock(); } } void clear() { if (count != 0) { lock(); try { HashEntry[] tab = table; for (int i = 0; i < tab.length; i++) { tab[i] = null; } ++modCount; count = 0; // write-volatile } finally { unlock(); } } } } /* ---------------- Public operations -------------- */ /** * Creates a new, empty map with the specified initial capacity, load * factor, and concurrency level. * * @param initialCapacity the initial capacity. The implementation performs * internal sizing to accommodate this many * elements. * @param loadFactor the load factor threshold, used to control * resizing. Resizing may be performed when the * average number of elements per bin exceeds this * threshold. * @param concurrencyLevel the estimated number of concurrently updating * threads. The implementation performs internal * sizing to try to accommodate this many threads. * * @throws IllegalArgumentException if the initial capacity is negative or * the load factor or concurrencyLevel are * nonpositive. */ public MultiKeyConcurrentHashMap(int initialCapacity, float loadFactor, int concurrencyLevel) { if (!(loadFactor > 0) || initialCapacity < 0 || concurrencyLevel <= 0) { throw new IllegalArgumentException(); } if (concurrencyLevel > MAX_SEGMENTS) { concurrencyLevel = MAX_SEGMENTS; } // Find power-of-two sizes best matching arguments int sshift = 0; int ssize = 1; while (ssize < concurrencyLevel) { ++sshift; ssize <<= 1; } segmentShift = 32 - sshift; segmentMask = ssize - 1; this.segments = new Segment[ssize]; if (initialCapacity > MAXIMUM_CAPACITY) { initialCapacity = MAXIMUM_CAPACITY; } int c = initialCapacity / ssize; if (c * ssize < initialCapacity) { ++c; } int cap = 1; while (cap < c) { cap <<= 1; } for (int i = 0; i < this.segments.length; ++i) { this.segments[i] = new Segment(cap, loadFactor); } } /** * Creates a new, empty map with the specified initial capacity, and with * default load factor and concurrencyLevel. * * @param initialCapacity the initial capacity. The implementation performs * internal sizing to accommodate this many * elements. * * @throws IllegalArgumentException if the initial capacity of elements is * negative. */ public MultiKeyConcurrentHashMap(int initialCapacity) { this(initialCapacity, DEFAULT_LOAD_FACTOR, DEFAULT_SEGMENTS); } /** * Creates a new, empty map with a default initial capacity, load factor, * and concurrencyLevel. */ public MultiKeyConcurrentHashMap() { this(DEFAULT_INITIAL_CAPACITY, DEFAULT_LOAD_FACTOR, DEFAULT_SEGMENTS); } /** * @see java.util.Map#isEmpty() */ public boolean isEmpty() { final Segment[] segments = this.segments; /* * We keep track of per-segment modCounts to avoid ABA * problems in which an element in one segment was added and * in another removed during traversal, in which case the * table was never actually empty at any point. Note the * similar use of modCounts in the size() and containsValue() * methods, which are the only other methods also susceptible * to ABA problems. */ int[] mc = new int[segments.length]; int mcsum = 0; for (int i = 0; i < segments.length; ++i) { if (segments[i].count != 0) { return false; } else { mcsum += mc[i] = segments[i].modCount; } } // If mcsum happens to be zero, then we know we got a snapshot // before any modifications at all were made. This is // probably common enough to bother tracking. if (mcsum != 0) { for (int i = 0; i < segments.length; ++i) { if (segments[i].count != 0 || mc[i] != segments[i].modCount) { return false; } } } return true; } /** * @see java.util.Map#size() */ public int size() { final Segment[] segments = this.segments; long sum = 0; long check = 0; int[] mc = new int[segments.length]; // Try a few times to get accurate count. On failure due to // continuous async changes in table, resort to locking. for (int k = 0; k < RETRIES_BEFORE_LOCK; ++k) { check = 0; sum = 0; int mcsum = 0; for (int i = 0; i < segments.length; ++i) { sum += segments[i].count; mcsum += mc[i] = segments[i].modCount; } if (mcsum != 0) { for (int i = 0; i < segments.length; ++i) { check += segments[i].count; if (mc[i] != segments[i].modCount) { check = -1; // force retry break; } } } if (check == sum) { break; } } if (check != sum) { // Resort to locking all segments sum = 0; for (int i = 0; i < segments.length; ++i) { segments[i].lock(); } for (int i = 0; i < segments.length; ++i) { sum += segments[i].count; } for (int i = 0; i < segments.length; ++i) { segments[i].unlock(); } } if (sum > Integer.MAX_VALUE) { return Integer.MAX_VALUE; } else { return (int) sum; } } /** * Returns the value to which the specified key is mapped in this table. * * @param key a key in the table. * * @return the value to which the key is mapped in this table; null * if the key is not mapped to any value in this table. * * @throws NullPointerException if the key is null. */ public V get(Object key) { int hash = hash(key, null, null, null); return segmentFor(hash).get(key, null, null, null, hash); } /** * @see #get(Object) */ public V get(Object key1, Object key2) { int hash = hash(key1, key2, null, null); return segmentFor(hash).get(key1, key2, null, null, hash); } /** * @see #get(Object) */ public V get(Object key1, Object key2, Object key3) { int hash = hash(key1, key2, key3, null); return segmentFor(hash).get(key1, key2, key3, null, hash); } /** * @see #get(Object) */ public V get(Object key1, Object key2, Object key3, Object key4) { int hash = hash(key1, key2, key3, key4); return segmentFor(hash).get(key1, key2, key3, key4, hash); } /** * Tests if the specified object is a key in this table. * * @param key possible key. * * @return true if and only if the specified object is a key in * this table, as determined by the equals method; * false otherwise. * * @throws NullPointerException if the key is null. */ public boolean containsKey(Object key) { int hash = hash(key, null, null, null); return segmentFor(hash).containsKey(key, null, null, null, hash); } /** * @see #containsKey(Object) */ public boolean containsKey(Object key1, Object key2) { int hash = hash(key1, key2, null, null); return segmentFor(hash).containsKey(key1, key2, null, null, hash); } /** * @see #containsKey(Object) */ public boolean containsKey(Object key1, Object key2, Object key3) { int hash = hash(key1, key2, key3, null); return segmentFor(hash).containsKey(key1, key2, key3, null, hash); } /** * @see #containsKey(Object) */ public boolean containsKey(Object key1, Object key2, Object key3, Object key4) { int hash = hash(key1, key2, key3, key4); return segmentFor(hash).containsKey(key1, key2, key3, key4, hash); } /** * Returns true if this map maps one or more keys to the specified * value. Note: This method requires a full internal traversal of the hash * table, and so is much slower than method containsKey. * * @param value value whose presence in this map is to be tested. * * @return true if this map maps one or more keys to the specified * value. * * @throws NullPointerException if the value is null. */ public boolean containsValue(Object value) { if (value == null) { throw new NullPointerException(); } // See explanation of modCount use above final Segment[] segments = this.segments; int[] mc = new int[segments.length]; // Try a few times without locking for (int k = 0; k < RETRIES_BEFORE_LOCK; ++k) { int mcsum = 0; for (int i = 0; i < segments.length; ++i) { mcsum += mc[i] = segments[i].modCount; if (segments[i].containsValue(value)) { return true; } } boolean cleanSweep = true; if (mcsum != 0) { for (int i = 0; i < segments.length; ++i) { if (mc[i] != segments[i].modCount) { cleanSweep = false; break; } } } if (cleanSweep) { return false; } } // Resort to locking all segments for (int i = 0; i < segments.length; ++i) { segments[i].lock(); } boolean found = false; try { for (int i = 0; i < segments.length; ++i) { if (segments[i].containsValue(value)) { found = true; break; } } } finally { for (int i = 0; i < segments.length; ++i) { segments[i].unlock(); } } return found; } /** * Legacy method testing if some key maps into the specified value in this * table. This method is identical in functionality to {@link * #containsValue}, and exists solely to ensure full compatibility with * class {@link java.util.Hashtable}, which supported this method prior to * introduction of the Java Collections framework. * * @param value a value to search for. * * @return true if and only if some key maps to the value * argument in this table as determined by the equals * method; false otherwise. * * @throws NullPointerException if the value is null. */ public boolean contains(Object value) { return containsValue(value); } /** * Maps the specified key to the specified value in this * table. Neither the key nor the value can be null. *

*

The value can be retrieved by calling the get method with a * key that is equal to the original key. * * @param key the table key. * @param value the value. * * @return the previous value of the specified key in this table, or * null if it did not have one. * * @throws NullPointerException if the key or value is null. */ public V put(K key, V value) { if (value == null) { throw new NullPointerException(); } int hash = hash(key, null, null, null); return segmentFor(hash).put(key, null, null, null, hash, value, false); } /** * @see #put(Object, Object) */ public V put(K key1, K key2, V value) { if (value == null) { throw new NullPointerException(); } int hash = hash(key1, key2, null, null); return segmentFor(hash).put(key1, key2, null, null, hash, value, false); } /** * @see #put(Object, Object) */ public V put(K key1, K key2, K key3, V value) { if (value == null) { throw new NullPointerException(); } int hash = hash(key1, key2, key3, null); return segmentFor(hash).put(key1, key2, key3, null, hash, value, false); } /** * @see #put(Object, Object) */ public V put(K key1, K key2, K key3, K key4, V value) { if (value == null) { throw new NullPointerException(); } int hash = hash(key1, key2, key3, key4); return segmentFor(hash).put(key1, key2, key3, key4, hash, value, false); } /** * If the specified key is not already associated with a value, associate it * with the given value. This is equivalent to *

     *   if (!map.containsKey(key))
     *      return map.put(key, value);
     *   else
     *      return map.get(key);
     * 
* Except that the action is performed atomically. * * @param key key with which the specified value is to be associated. * @param value value to be associated with the specified key. * * @return previous value associated with specified key, or null if * there was no mapping for key. * * @throws NullPointerException if the specified key or value is * null. */ public V putIfAbsent(K key, V value) { if (value == null) { throw new NullPointerException(); } int hash = hash(key, null, null, null); return segmentFor(hash).put(key, null, null, null, hash, value, true); } /** * @see #putIfAbsent(Object, Object) */ public V putIfAbsent(K key1, K key2, V value) { if (value == null) { throw new NullPointerException(); } int hash = hash(key1, key2, null, null); return segmentFor(hash).put(key1, key2, null, null, hash, value, true); } /** * @see #putIfAbsent(Object, Object) */ public V putIfAbsent(K key1, K key2, K key3, V value) { if (value == null) { throw new NullPointerException(); } int hash = hash(key1, key2, key3, null); return segmentFor(hash).put(key1, key2, key3, null, hash, value, true); } /** * @see #putIfAbsent(Object, Object) */ public V putIfAbsent(K key1, K key2, K key3, K key4, V value) { if (value == null) { throw new NullPointerException(); } int hash = hash(key1, key2, key3, key4); return segmentFor(hash).put(key1, key2, key3, key4, hash, value, true); } /** * @see Map#remove(Object) */ public V remove(K key) { int hash = hash(key, null, null, null); return segmentFor(hash).remove(key, null, null, null, hash, null); } /** * @see Map#remove(Object) */ public V remove(K key1, K key2) { int hash = hash(key1, key2, null, null); return segmentFor(hash).remove(key1, key2, null, null, hash, null); } /** * @see Map#remove(Object) */ public V remove(K key1, K key2, K key3) { int hash = hash(key1, key2, key3, null); return segmentFor(hash).remove(key1, key2, null, null, hash, null); } /** * @see Map#remove(Object) */ public V remove(K key1, K key2, K key3, K key4) { // we don't have multiple versions of remove here because // erasure would cause a collision with boolean remove(Object, Object) int hash = hash(key1, key2, key3, key4); return segmentFor(hash).remove(key1, key2, key3, key4, hash, null); } /** * Replace entry for key only if currently mapped to given value. Acts as *
     *  if (map.get(key).equals(oldValue)) {
     *     map.put(key, newValue);
     *     return true;
     * } else return false;
     * 
* except that the action is performed atomically. * * @param key key with which the specified value is associated. * @param oldValue value expected to be associated with the specified key. * @param newValue value to be associated with the specified key. * * @return true if the value was replaced * * @throws NullPointerException if the specified key or values are * null. */ public boolean replace(K key, V oldValue, V newValue) { if (oldValue == null || newValue == null) { throw new NullPointerException(); } int hash = hash(key, null, null, null); return segmentFor(hash) .replace(key, null, null, null, hash, oldValue, newValue); } /** * Replace entry for key only if currently mapped to some value. Acts as *
     *  if ((map.containsKey(key)) {
     *     return map.put(key, value);
     * } else return null;
     * 
* except that the action is performed atomically. * * @param key key with which the specified value is associated. * @param value value to be associated with the specified key. * * @return previous value associated with specified key, or null if * there was no mapping for key. * * @throws NullPointerException if the specified key or value is * null. */ public V replace(K key, V value) { if (value == null) { throw new NullPointerException(); } int hash = hash(key, null, null, null); return segmentFor(hash).replace(key, null, null, null, hash, value); } /** * Removes all mappings from this map. */ public void clear() { for (int i = 0; i < segments.length; ++i) { segments[i].clear(); } } /** * Unsupported */ public Set keySet() { throw new UnsupportedOperationException(); } /** * Unsupported. */ public Collection values() { throw new UnsupportedOperationException(); } /** * Unsupported. */ public Set> entrySet() { throw new UnsupportedOperationException(); } }




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