下面列出了java.util.function.IntBinaryOperator#applyAsInt ( ) 实例代码，或者点击链接到github查看源代码，也可以在右侧发表评论。
@Test(dataProvider="intSet")
public void testParallelPrefixForInt(int[] data, int fromIndex, int toIndex, IntBinaryOperator op) {
int[] sequentialResult = data.clone();
for (int index = fromIndex + 1; index < toIndex; index++) {
sequentialResult[index ] = op.applyAsInt(sequentialResult[index - 1], sequentialResult[index]);
}
int[] parallelResult = data.clone();
Arrays.parallelPrefix(parallelResult, fromIndex, toIndex, op);
assertEquals(parallelResult, sequentialResult);
int[] parallelRangeResult = Arrays.copyOfRange(data, fromIndex, toIndex);
Arrays.parallelPrefix(parallelRangeResult, op);
assertEquals(parallelRangeResult, Arrays.copyOfRange(sequentialResult, fromIndex, toIndex));
}
@Test(dataProvider="intSet")
public void testParallelPrefixForInt(int[] data, int fromIndex, int toIndex, IntBinaryOperator op) {
int[] sequentialResult = data.clone();
for (int index = fromIndex + 1; index < toIndex; index++) {
sequentialResult[index ] = op.applyAsInt(sequentialResult[index - 1], sequentialResult[index]);
}
int[] parallelResult = data.clone();
Arrays.parallelPrefix(parallelResult, fromIndex, toIndex, op);
assertEquals(parallelResult, sequentialResult);
int[] parallelRangeResult = Arrays.copyOfRange(data, fromIndex, toIndex);
Arrays.parallelPrefix(parallelRangeResult, op);
assertEquals(parallelRangeResult, Arrays.copyOfRange(sequentialResult, fromIndex, toIndex));
}
/**
* Constructs a {@code TerminalOp} that implements a functional reduce on
* {@code int} values.
*
* @param identity the identity for the combining function
* @param operator the combining function
* @return a {@code TerminalOp} implementing the reduction
*/
public static TerminalOp<Integer, Integer>
makeInt(int identity, IntBinaryOperator operator) {
Objects.requireNonNull(operator);
class ReducingSink
implements AccumulatingSink<Integer, Integer, ReducingSink>, Sink.OfInt {
private int state;
@Override
public void begin(long size) {
state = identity;
}
@Override
public void accept(int t) {
state = operator.applyAsInt(state, t);
}
@Override
public Integer get() {
return state;
}
@Override
public void combine(ReducingSink other) {
accept(other.state);
}
}
return new ReduceOp<Integer, Integer, ReducingSink>(StreamShape.INT_VALUE) {
@Override
public ReducingSink makeSink() {
return new ReducingSink();
}
};
}
/**
* Constructs a {@code TerminalOp} that implements a functional reduce on
* {@code int} values.
*
* @param identity the identity for the combining function
* @param operator the combining function
* @return a {@code TerminalOp} implementing the reduction
*/
public static TerminalOp<Integer, Integer>
makeInt(int identity, IntBinaryOperator operator) {
Objects.requireNonNull(operator);
class ReducingSink
implements AccumulatingSink<Integer, Integer, ReducingSink>, Sink.OfInt {
private int state;
@Override
public void begin(long size) {
state = identity;
}
@Override
public void accept(int t) {
state = operator.applyAsInt(state, t);
}
@Override
public Integer get() {
return state;
}
@Override
public void combine(ReducingSink other) {
accept(other.state);
}
}
return new ReduceOp<Integer, Integer, ReducingSink>(StreamShape.INT_VALUE) {
@Override
public ReducingSink makeSink() {
return new ReducingSink();
}
};
}
/**
* Constructs a {@code TerminalOp} that implements a functional reduce on
* {@code int} values, producing an optional integer result.
*
* @param operator the combining function
* @return a {@code TerminalOp} implementing the reduction
*/
public static TerminalOp<Integer, OptionalInt>
makeInt(IntBinaryOperator operator) {
Objects.requireNonNull(operator);
class ReducingSink
implements AccumulatingSink<Integer, OptionalInt, ReducingSink>, Sink.OfInt {
private boolean empty;
private int state;
public void begin(long size) {
empty = true;
state = 0;
}
@Override
public void accept(int t) {
if (empty) {
empty = false;
state = t;
}
else {
state = operator.applyAsInt(state, t);
}
}
@Override
public OptionalInt get() {
return empty ? OptionalInt.empty() : OptionalInt.of(state);
}
@Override
public void combine(ReducingSink other) {
if (!other.empty)
accept(other.state);
}
}
return new ReduceOp<Integer, OptionalInt, ReducingSink>(StreamShape.INT_VALUE) {
@Override
public ReducingSink makeSink() {
return new ReducingSink();
}
};
}
/**
* Constructs a {@code TerminalOp} that implements a functional reduce on
* {@code int} values, producing an optional integer result.
*
* @param operator the combining function
* @return a {@code TerminalOp} implementing the reduction
*/
public static TerminalOp<Integer, OptionalInt>
makeInt(IntBinaryOperator operator) {
Objects.requireNonNull(operator);
class ReducingSink
implements AccumulatingSink<Integer, OptionalInt, ReducingSink>, Sink.OfInt {
private boolean empty;
private int state;
public void begin(long size) {
empty = true;
state = 0;
}
@Override
public void accept(int t) {
if (empty) {
empty = false;
state = t;
}
else {
state = operator.applyAsInt(state, t);
}
}
@Override
public OptionalInt get() {
return empty ? OptionalInt.empty() : OptionalInt.of(state);
}
@Override
public void combine(ReducingSink other) {
if (!other.empty)
accept(other.state);
}
}
return new ReduceOp<Integer, OptionalInt, ReducingSink>(StreamShape.INT_VALUE) {
@Override
public ReducingSink makeSink() {
return new ReducingSink();
}
};
}
/**
* Constructs a {@code TerminalOp} that implements a functional reduce on
* {@code int} values, producing an optional integer result.
*
* @param operator the combining function
* @return a {@code TerminalOp} implementing the reduction
*/
public static TerminalOp<Integer, OptionalInt>
makeInt(IntBinaryOperator operator) {
Objects.requireNonNull(operator);
class ReducingSink
implements AccumulatingSink<Integer, OptionalInt, ReducingSink>, Sink.OfInt {
private boolean empty;
private int state;
public void begin(long size) {
empty = true;
state = 0;
}
@Override
public void accept(int t) {
if (empty) {
empty = false;
state = t;
}
else {
state = operator.applyAsInt(state, t);
}
}
@Override
public OptionalInt get() {
return empty ? OptionalInt.empty() : OptionalInt.of(state);
}
@Override
public void combine(ReducingSink other) {
if (!other.empty)
accept(other.state);
}
}
return new ReduceOp<Integer, OptionalInt, ReducingSink>(StreamShape.INT_VALUE) {
@Override
public ReducingSink makeSink() {
return new ReducingSink();
}
};
}
/**
* Constructs a {@code TerminalOp} that implements a functional reduce on
* {@code int} values, producing an optional integer result.
*
* @param operator the combining function
* @return a {@code TerminalOp} implementing the reduction
*/
public static TerminalOp<Integer, OptionalInt>
makeInt(IntBinaryOperator operator) {
Objects.requireNonNull(operator);
class ReducingSink
implements AccumulatingSink<Integer, OptionalInt, ReducingSink>, Sink.OfInt {
private boolean empty;
private int state;
public void begin(long size) {
empty = true;
state = 0;
}
@Override
public void accept(int t) {
if (empty) {
empty = false;
state = t;
}
else {
state = operator.applyAsInt(state, t);
}
}
@Override
public OptionalInt get() {
return empty ? OptionalInt.empty() : OptionalInt.of(state);
}
@Override
public void combine(ReducingSink other) {
if (!other.empty)
accept(other.state);
}
}
return new ReduceOp<Integer, OptionalInt, ReducingSink>(StreamShape.INT_VALUE) {
@Override
public ReducingSink makeSink() {
return new ReducingSink();
}
};
}
/**
* Atomically updates the current value with the results of
* applying the given function to the current and given values,
* returning the previous value. The function should be
* side-effect-free, since it may be re-applied when attempted
* updates fail due to contention among threads. The function
* is applied with the current value as its first argument,
* and the given update as the second argument.
*
* @param x the update value
* @param accumulatorFunction a side-effect-free function of two arguments
* @return the previous value
* @since 1.8
*/
public final int getAndAccumulate(int x,
IntBinaryOperator accumulatorFunction) {
int prev, next;
do {
prev = get();
next = accumulatorFunction.applyAsInt(prev, x);
} while (!compareAndSet(prev, next));
return prev;
}
/**
* Atomically updates the element at index {@code i} with the
* results of applying the given function to the current and
* given values, returning the previous value. The function should
* be side-effect-free, since it may be re-applied when attempted
* updates fail due to contention among threads. The function is
* applied with the current value at index {@code i} as its first
* argument, and the given update as the second argument.
*
* @param i the index
* @param x the update value
* @param accumulatorFunction a side-effect-free function of two arguments
* @return the previous value
* @since 1.8
*/
public final int getAndAccumulate(int i, int x,
IntBinaryOperator accumulatorFunction) {
long offset = checkedByteOffset(i);
int prev, next;
do {
prev = getRaw(offset);
next = accumulatorFunction.applyAsInt(prev, x);
} while (!compareAndSetRaw(offset, prev, next));
return prev;
}
/**
* Atomically updates the current value with the results of
* applying the given function to the current and given values,
* returning the previous value. The function should be
* side-effect-free, since it may be re-applied when attempted
* updates fail due to contention among threads. The function
* is applied with the current value as its first argument,
* and the given update as the second argument.
*
* @param x the update value
* @param accumulatorFunction a side-effect-free function of two arguments
* @return the previous value
* @since 1.8
*/
public final int getAndAccumulate(int x,
IntBinaryOperator accumulatorFunction) {
int prev, next;
do {
prev = get();
next = accumulatorFunction.applyAsInt(prev, x);
} while (!compareAndSet(prev, next));
return prev;
}
/**
* Atomically updates the field of the given object managed by this
* updater with the results of applying the given function to the
* current and given values, returning the updated value. The
* function should be side-effect-free, since it may be re-applied
* when attempted updates fail due to contention among threads. The
* function is applied with the current value as its first argument,
* and the given update as the second argument.
*
* @param obj An object whose field to get and set
* @param x the update value
* @param accumulatorFunction a side-effect-free function of two arguments
* @return the updated value
* @since 1.8
*/
public final int accumulateAndGet(T obj, int x,
IntBinaryOperator accumulatorFunction) {
int prev, next;
do {
prev = get(obj);
next = accumulatorFunction.applyAsInt(prev, x);
} while (!compareAndSet(obj, prev, next));
return next;
}
/**
* Atomically updates the current value with the results of
* applying the given function to the current and given values,
* returning the previous value. The function should be
* side-effect-free, since it may be re-applied when attempted
* updates fail due to contention among threads. The function
* is applied with the current value as its first argument,
* and the given update as the second argument.
*
* @param x the update value
* @param accumulatorFunction a side-effect-free function of two arguments
* @return the previous value
* @since 1.8
*/
// For desugar: made static so it can exist outside original class
public static int getAndAccumulate(AtomicInteger atomic, int x,
IntBinaryOperator accumulatorFunction) {
int prev, next;
do {
prev = atomic.get();
next = accumulatorFunction.applyAsInt(prev, x);
} while (!atomic.compareAndSet(prev, next));
return prev;
}
/**
* Atomically updates the current value with the results of
* applying the given function to the current and given values,
* returning the updated value. The function should be
* side-effect-free, since it may be re-applied when attempted
* updates fail due to contention among threads. The function
* is applied with the current value as its first argument,
* and the given update as the second argument.
*
* @param x the update value
* @param accumulatorFunction a side-effect-free function of two arguments
* @return the updated value
* @since 1.8
*/
public final int accumulateAndGet(int x,
IntBinaryOperator accumulatorFunction) {
int prev, next;
do {
prev = get();
next = accumulatorFunction.applyAsInt(prev, x);
} while (!compareAndSet(prev, next));
return next;
}
/**
* Atomically updates the field of the given object managed by this
* updater with the results of applying the given function to the
* current and given values, returning the previous value. The
* function should be side-effect-free, since it may be re-applied
* when attempted updates fail due to contention among threads. The
* function is applied with the current value as its first argument,
* and the given update as the second argument.
*
* @param obj An object whose field to get and set
* @param x the update value
* @param accumulatorFunction a side-effect-free function of two arguments
* @return the previous value
* @since 1.8
*/
public final int getAndAccumulate(T obj, int x,
IntBinaryOperator accumulatorFunction) {
int prev, next;
do {
prev = get(obj);
next = accumulatorFunction.applyAsInt(prev, x);
} while (!compareAndSet(obj, prev, next));
return prev;
}
/**
* Atomically updates the element at index {@code i} with the
* results of applying the given function to the current and
* given values, returning the updated value. The function should
* be side-effect-free, since it may be re-applied when attempted
* updates fail due to contention among threads. The function is
* applied with the current value at index {@code i} as its first
* argument, and the given update as the second argument.
*
* @param i the index
* @param x the update value
* @param accumulatorFunction a side-effect-free function of two arguments
* @return the updated value
* @since 1.8
*/
public final int accumulateAndGet(int i, int x,
IntBinaryOperator accumulatorFunction) {
long offset = checkedByteOffset(i);
int prev, next;
do {
prev = getRaw(offset);
next = accumulatorFunction.applyAsInt(prev, x);
} while (!compareAndSetRaw(offset, prev, next));
return next;
}
/**
* Atomically updates the field of the given object managed by this
* updater with the results of applying the given function to the
* current and given values, returning the updated value. The
* function should be side-effect-free, since it may be re-applied
* when attempted updates fail due to contention among threads. The
* function is applied with the current value as its first argument,
* and the given update as the second argument.
*
* @param obj An object whose field to get and set
* @param x the update value
* @param accumulatorFunction a side-effect-free function of two arguments
* @return the updated value
* @since 1.8
*/
public final int accumulateAndGet(T obj, int x,
IntBinaryOperator accumulatorFunction) {
int prev, next;
do {
prev = get(obj);
next = accumulatorFunction.applyAsInt(prev, x);
} while (!compareAndSet(obj, prev, next));
return next;
}
/**
* Atomically updates the field of the given object managed by this
* updater with the results of applying the given function to the
* current and given values, returning the updated value. The
* function should be side-effect-free, since it may be re-applied
* when attempted updates fail due to contention among threads. The
* function is applied with the current value as its first argument,
* and the given update as the second argument.
*
* @param obj An object whose field to get and set
* @param x the update value
* @param accumulatorFunction a side-effect-free function of two arguments
* @return the updated value
* @since 1.8
*/
public final int accumulateAndGet(T obj, int x,
IntBinaryOperator accumulatorFunction) {
int prev, next;
do {
prev = get(obj);
next = accumulatorFunction.applyAsInt(prev, x);
} while (!compareAndSet(obj, prev, next));
return next;
}
/**
* Atomically updates the element at index {@code i} with the
* results of applying the given function to the current and
* given values, returning the previous value. The function should
* be side-effect-free, since it may be re-applied when attempted
* updates fail due to contention among threads. The function is
* applied with the current value at index {@code i} as its first
* argument, and the given update as the second argument.
*
* @param i the index
* @param x the update value
* @param accumulatorFunction a side-effect-free function of two arguments
* @return the previous value
* @since 1.8
*/
public final int getAndAccumulate(int i, int x,
IntBinaryOperator accumulatorFunction) {
long offset = checkedByteOffset(i);
int prev, next;
do {
prev = getRaw(offset);
next = accumulatorFunction.applyAsInt(prev, x);
} while (!compareAndSetRaw(offset, prev, next));
return prev;
}
/**
* Atomically updates the field of the given object managed by this
* updater with the results of applying the given function to the
* current and given values, returning the updated value. The
* function should be side-effect-free, since it may be re-applied
* when attempted updates fail due to contention among threads. The
* function is applied with the current value as its first argument,
* and the given update as the second argument.
*
* @param obj An object whose field to get and set
* @param x the update value
* @param accumulatorFunction a side-effect-free function of two arguments
* @return the updated value
* @since 1.8
*/
public final int accumulateAndGet(T obj, int x,
IntBinaryOperator accumulatorFunction) {
int prev, next;
do {
prev = get(obj);
next = accumulatorFunction.applyAsInt(prev, x);
} while (!compareAndSet(obj, prev, next));
return next;
}