private abstract class HashIterator implements Iterator<T> {
BaseHashObject next; // next entry to return
int expectedModCount; // For fast-fail
int index; // current slot
BaseHashObject current; // current entry
HashIterator() {
expectedModCount = modCount;
if (size > 0) { // advance to first entry
BaseHashObject[] t = table;
while (index < t.length && (next = t[index++]) == null)
;
}
}
public final boolean hasNext() {
return next != null;
}
final T nextObject() {
if (modCount != expectedModCount)
throw new ConcurrentModificationException();
BaseHashObject e = next;
if (e == null)
throw new NoSuchElementException();
if ((next = e.getNext()) == null) {
BaseHashObject[] t = table;
while (index < t.length && (next = t[index++]) == null)
;
}
current = e;
return (T)e;
}
public void remove() {
if (current == null)
throw new IllegalStateException();
if (modCount != expectedModCount)
throw new ConcurrentModificationException();
BaseHashObject k = current;
current = null;
HashObjectMap.this.remove(k);
expectedModCount = modCount;
}
}
public Collection<T> objects() {
return new Objects();
}
private final class Objects extends AbstractCollection<T> {
public Iterator<T> iterator() {
return newObjectIterator();
}
public int size() {
return size;
}
public boolean contains(BaseHashObject o) {
return containsObject(o);
}
public void clear() {
HashObjectMap.this.clear();
}
}
public void putAll(Collection<BaseHashObject> objects) {
int numKeysToBeAdded = objects.size();
if (numKeysToBeAdded == 0)
return;
/*
* Expand the map if the map if the number of mappings to be added
* is greater than or equal to threshold. This is conservative; the
* obvious condition is (m.size() + size) >= threshold, but this
* condition could result in a map with twice the appropriate capacity,
* if the keys to be added overlap with the keys already in this map.
* By using the conservative calculation, we subject ourself
* to at most one extra resize.
*/
if (numKeysToBeAdded > threshold) {
int targetCapacity = (int)(numKeysToBeAdded / loadFactor + 1);
if (targetCapacity > MAXIMUM_CAPACITY)
targetCapacity = MAXIMUM_CAPACITY;
int newCapacity = table.length;
while (newCapacity < targetCapacity)
newCapacity <<= 1;
if (newCapacity > table.length)
resize(newCapacity);
}
for (Iterator<BaseHashObject> i = objects.iterator(); i.hasNext(); ) {
put(i.next());
}
}
}
BaseHashObject next; // next entry to return
int expectedModCount; // For fast-fail
int index; // current slot
BaseHashObject current; // current entry
HashIterator() {
expectedModCount = modCount;
if (size > 0) { // advance to first entry
BaseHashObject[] t = table;
while (index < t.length && (next = t[index++]) == null)
;
}
}
public final boolean hasNext() {
return next != null;
}
final T nextObject() {
if (modCount != expectedModCount)
throw new ConcurrentModificationException();
BaseHashObject e = next;
if (e == null)
throw new NoSuchElementException();
if ((next = e.getNext()) == null) {
BaseHashObject[] t = table;
while (index < t.length && (next = t[index++]) == null)
;
}
current = e;
return (T)e;
}
public void remove() {
if (current == null)
throw new IllegalStateException();
if (modCount != expectedModCount)
throw new ConcurrentModificationException();
BaseHashObject k = current;
current = null;
HashObjectMap.this.remove(k);
expectedModCount = modCount;
}
}
public Collection<T> objects() {
return new Objects();
}
private final class Objects extends AbstractCollection<T> {
public Iterator<T> iterator() {
return newObjectIterator();
}
public int size() {
return size;
}
public boolean contains(BaseHashObject o) {
return containsObject(o);
}
public void clear() {
HashObjectMap.this.clear();
}
}
public void putAll(Collection<BaseHashObject> objects) {
int numKeysToBeAdded = objects.size();
if (numKeysToBeAdded == 0)
return;
/*
* Expand the map if the map if the number of mappings to be added
* is greater than or equal to threshold. This is conservative; the
* obvious condition is (m.size() + size) >= threshold, but this
* condition could result in a map with twice the appropriate capacity,
* if the keys to be added overlap with the keys already in this map.
* By using the conservative calculation, we subject ourself
* to at most one extra resize.
*/
if (numKeysToBeAdded > threshold) {
int targetCapacity = (int)(numKeysToBeAdded / loadFactor + 1);
if (targetCapacity > MAXIMUM_CAPACITY)
targetCapacity = MAXIMUM_CAPACITY;
int newCapacity = table.length;
while (newCapacity < targetCapacity)
newCapacity <<= 1;
if (newCapacity > table.length)
resize(newCapacity);
}
for (Iterator<BaseHashObject> i = objects.iterator(); i.hasNext(); ) {
put(i.next());
}
}
}