Java 类java.util.PrimitiveIterator.OfLong 实例源码

项目:streamex    文件:LongStreamExTest.java   
@Test
public void testDropWhile() {
    assertArrayEquals(new long[] { 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 }, LongStreamEx.range(100).dropWhile(
        i -> i % 10 < 5).limit(10).toArray());
    assertEquals(100, LongStreamEx.range(100).dropWhile(i -> i % 10 < 0).count());
    assertEquals(0, LongStreamEx.range(100).dropWhile(i -> i % 10 < 10).count());
    assertEquals(OptionalLong.of(0), LongStreamEx.range(100).dropWhile(i -> i % 10 < 0).findFirst());
    assertEquals(OptionalLong.empty(), LongStreamEx.range(100).dropWhile(i -> i % 10 < 10).findFirst());

    java.util.Spliterator.OfLong spltr = LongStreamEx.range(100).dropWhile(i -> i % 10 < 1).spliterator();
    assertTrue(spltr.tryAdvance((long x) -> assertEquals(1, x)));
    Builder builder = LongStream.builder();
    spltr.forEachRemaining(builder);
    assertArrayEquals(LongStreamEx.range(2, 100).toArray(), builder.build().toArray());
}
项目:FraudDetection-Microservices    文件:Emulator.java   
@Override
public void run(String... args) throws Exception {

    getCloudEnvProperties();
    loadPoSCounties();

    if (!skipSetup){
        runSetup();
    }
    if (numberOfTransactions<0) numberOfTransactions = Integer.MAX_VALUE;

    logger.info(">>>>> RUNNING SIMULATION");        
    logger.info("--------------------------------------");
    logger.info(">>> Geode rest endpoint: "+geodeURL);
    logger.info("--------------------------------------");

    logger.info(">>> Posting "+numberOfTransactions+" transactions ...");

    int numberOfDevices = counties.size();

    OfLong deviceIDs = new Random().longs(0, numberOfDevices).iterator();
    OfLong accountIDs = new Random().longs(0, numberOfAccounts).iterator();

    Random random = new Random();
    long mean = 100; // mean value for transactions
    long variance = 40; // variance

    DecimalFormat df = new DecimalFormat();
    df.setMaximumFractionDigits(2);

    for (int i=0; i<numberOfTransactions; i++){
        //Map<String,Object> map = (Map)objects.get(i);
        Transaction t = new Transaction();
        t.setId(Math.abs(UUID.randomUUID().getLeastSignificantBits()));
        long accountId = accountIDs.next();
        t.setAccountId(accountId);      

        // 90% of times, we'll transact this account from a single "home location"
        if (Math.random()<0.9){
            t.setDeviceId(getHomePoS(accountId));
        }
        else {
            t.setDeviceId(deviceIDs.next());
        }



        t.setTimestamp(System.currentTimeMillis());

        double value = Double.parseDouble(df.format(Math.abs(mean+random.nextGaussian()*variance)));  
        t.setValue(value);

        try{                    
            Transaction response = restTemplate.postForObject(geodeURL+RegionName.Transaction, t, Transaction.class);
        }
        catch(Exception e){
            logger.warning("Failed to connect to Geode using URL "+geodeURL);
            e.printStackTrace();
        }
        Thread.sleep(delay);


    }

    logger.info("done");


}
项目:parallel-stream-support    文件:ParallelLongStreamSupport.java   
@Override
public OfLong iterator() {
  return this.delegate.iterator();
}
项目:parallel-stream-support    文件:ParallelLongStreamSupport.java   
@Override
public java.util.Spliterator.OfLong spliterator() {
  return this.delegate.spliterator();
}
项目:streamex    文件:LongStreamEx.java   
LongStreamEx(Spliterator.OfLong spliterator, StreamContext context) {
    super(spliterator, context);
}
项目:streamex    文件:LongStreamEx.java   
final LongStreamEx delegate(Spliterator.OfLong spliterator) {
    return new LongStreamEx(spliterator, context);
}
项目:streamex    文件:LongStreamEx.java   
@Override
public OfLong iterator() {
    return Spliterators.iterator(spliterator());
}
项目:streamex    文件:LongStreamExTest.java   
@Test
public void testBasics() {
    assertFalse(LongStreamEx.of(1).isParallel());
    assertTrue(LongStreamEx.of(1).parallel().isParallel());
    assertFalse(LongStreamEx.of(1).parallel().sequential().isParallel());
    AtomicInteger i = new AtomicInteger();
    try (LongStreamEx s = LongStreamEx.of(1).onClose(i::incrementAndGet)) {
        assertEquals(1, s.count());
    }
    assertEquals(1, i.get());
    assertEquals(6, LongStreamEx.range(0, 4).sum());
    assertEquals(3, LongStreamEx.range(0, 4).max().getAsLong());
    assertEquals(0, LongStreamEx.range(0, 4).min().getAsLong());
    assertEquals(1.5, LongStreamEx.range(0, 4).average().getAsDouble(), 0.000001);
    assertEquals(4, LongStreamEx.range(0, 4).summaryStatistics().getCount());
    assertArrayEquals(new long[] { 1, 2, 3 }, LongStreamEx.range(0, 5).skip(1).limit(3).toArray());
    assertArrayEquals(new long[] { 1, 2, 3 }, LongStreamEx.of(3, 1, 2).sorted().toArray());
    assertArrayEquals(new long[] { 1, 2, 3 }, LongStreamEx.of(1, 2, 1, 3, 2).distinct().toArray());
    assertArrayEquals(new int[] { 2, 4, 6 }, LongStreamEx.range(1, 4).mapToInt(x -> (int) x * 2).toArray());
    assertArrayEquals(new long[] { 2, 4, 6 }, LongStreamEx.range(1, 4).map(x -> x * 2).toArray());
    assertArrayEquals(new double[] { 2, 4, 6 }, LongStreamEx.range(1, 4).mapToDouble(x -> x * 2).toArray(), 0.0);
    assertArrayEquals(new long[] { 1, 3 }, LongStreamEx.range(0, 5).filter(x -> x % 2 == 1).toArray());
    assertEquals(6, LongStreamEx.of(1, 2, 3).reduce(Long::sum).getAsLong());
    assertEquals(Long.MAX_VALUE, LongStreamEx.rangeClosed(1, Long.MAX_VALUE).spliterator().getExactSizeIfKnown());

    assertTrue(LongStreamEx.of(1, 2, 3).spliterator().hasCharacteristics(Spliterator.ORDERED));
    assertFalse(LongStreamEx.of(1, 2, 3).unordered().spliterator().hasCharacteristics(Spliterator.ORDERED));

    OfLong iterator = LongStreamEx.of(1, 2, 3).iterator();
    assertEquals(1L, iterator.nextLong());
    assertEquals(2L, iterator.nextLong());
    assertEquals(3L, iterator.nextLong());
    assertFalse(iterator.hasNext());

    AtomicInteger idx = new AtomicInteger();
    long[] result = new long[500];
    LongStreamEx.range(1000).atLeast(500).parallel().forEachOrdered(val -> result[idx.getAndIncrement()] = val);
    assertArrayEquals(LongStreamEx.range(500, 1000).toArray(), result);

    assertTrue(LongStreamEx.empty().noneMatch(x -> true));
    assertFalse(LongStreamEx.of(1).noneMatch(x -> true));
    assertTrue(LongStreamEx.of(1).noneMatch(x -> false));
}
项目:ThrowingStream    文件:UncheckedLongStream.java   
@Override
public OfLong iterator() {
  return ThrowingBridge.of(getDelegate().iterator(), getExceptionClass());
}
项目:ThrowingStream    文件:UncheckedLongStream.java   
@Override
public Spliterator.OfLong spliterator() {
  return ThrowingBridge.of(getDelegate().spliterator(), getExceptionClass());
}
项目:streamex    文件:LongStreamEx.java   
/**
 * Produces an array containing cumulative results of applying the
 * accumulation function going left to right.
 * 
 * <p>
 * This is a terminal operation.
 * 
 * <p>
 * For parallel stream it's not guaranteed that accumulator will always be
 * executed in the same thread.
 * 
 * <p>
 * This method cannot take all the advantages of parallel streams as it must
 * process elements strictly left to right.
 *
 * @param accumulator a
 *        <a href="package-summary.html#NonInterference">non-interfering
 *        </a>, <a href="package-summary.html#Statelessness">stateless</a>
 *        function for incorporating an additional element into a result
 * @return the array where the first element is the first element of this
 *         stream and every successor element is the result of applying
 *         accumulator function to the previous array element and the
 *         corresponding stream element. The resulting array has the same
 *         length as this stream.
 * @see #foldLeft(LongBinaryOperator)
 * @since 0.5.1
 */
public long[] scanLeft(LongBinaryOperator accumulator) {
    Spliterator.OfLong spliterator = spliterator();
    long size = spliterator.getExactSizeIfKnown();
    LongBuffer buf = new LongBuffer(size >= 0 && size <= Integer.MAX_VALUE ? (int) size : INITIAL_SIZE);
    delegate(spliterator).forEachOrdered(i -> buf.add(buf.size == 0 ? i
            : accumulator.applyAsLong(buf.data[buf.size - 1], i)));
    return buf.toArray();
}
项目:parallel-stream-support    文件:ParallelLongStreamSupport.java   
/**
 * Creates a <strong>parallel</strong> {@code long} stream from the given Spliterator. This operation is similar to
 * calling {@code StreamSupport.longStream(spliterator, true)} with the difference that a parallel
 * <a href="https://docs.oracle.com/javase/8/docs/api/java/util/stream/package-summary.html#StreamOps">terminal
 * operation</a> will be executed in the given {@link ForkJoinPool}.
 *
 * @param spliterator A {@code Spliterator.OfLong} describing the stream elements. Must not be {@code null}.
 * @param workerPool Thread pool for parallel execution of a terminal operation. Must not be {@code null}.
 * @return A parallel {@code long} stream that executes a terminal operation in the given {@link ForkJoinPool}.
 * @see StreamSupport#longStream(Spliterator.OfLong, boolean)
 */
public static LongStream parallelStream(Spliterator.OfLong spliterator, ForkJoinPool workerPool) {
  requireNonNull(spliterator, "Spliterator must not be null");

  return new ParallelLongStreamSupport(longStream(spliterator, true), workerPool);
}
项目:parallel-stream-support    文件:ParallelLongStreamSupport.java   
/**
 * Creates a <strong>parallel</strong> {@code long} stream from the given Spliterator supplier. This operation is
 * similar to calling {@code StreamSupport.longStream(supplier, characteristics, true)} with the difference that a
 * parallel
 * <a href="https://docs.oracle.com/javase/8/docs/api/java/util/stream/package-summary.html#StreamOps">terminal
 * operation</a> will be executed in the given {@link ForkJoinPool}.
 *
 * @param supplier A {@code Supplier} of a {@code Spliterator.OfLong}. Must not be {@code null}.
 * @param characteristics Spliterator characteristics of the supplied {@code Spliterator}. The characteristics must
 * be equal to {@code supplier.get().characteristics()}, otherwise undefined behavior may occur when terminal
 * operation commences.
 * @param workerPool Thread pool for parallel execution of a terminal operation. Must not be {@code null}.
 * @return A parallel {@code long} stream that executes a terminal operation in the given {@link ForkJoinPool}.
 * @see StreamSupport#longStream(Supplier, int, boolean)
 */
public static LongStream parallelStream(Supplier<? extends Spliterator.OfLong> supplier, int characteristics, ForkJoinPool workerPool) {
  requireNonNull(supplier, "Supplier must not be null");

  return new ParallelLongStreamSupport(longStream(supplier, characteristics, true), workerPool);
}
项目:streamex    文件:LongStreamEx.java   
/**
 * Returns a stream consisting of the remaining elements of this stream
 * after discarding the first {@code n} elements of the stream. If this
 * stream contains fewer than {@code n} elements then an empty stream will
 * be returned.
 *
 * <p>
 * This is a stateful quasi-intermediate operation. Unlike
 * {@link #skip(long)} it skips the first elements even if the stream is
 * unordered. The main purpose of this method is to workaround the problem
 * of skipping the first elements from non-sized source with further
 * parallel processing and unordered terminal operation (such as
 * {@link #forEach(LongConsumer)}). This problem was fixed in OracleJDK
 * 8u60.
 * 
 * <p>
 * Also it behaves much better with infinite streams processed in parallel.
 * For example,
 * {@code LongStreamEx.iterate(0L, i->i+1).skip(1).limit(100).parallel().toArray()}
 * will likely to fail with {@code OutOfMemoryError}, but will work nicely
 * if {@code skip} is replaced with {@code skipOrdered}.
 *
 * <p>
 * For sequential streams this method behaves exactly like
 * {@link #skip(long)}.
 *
 * @param n the number of leading elements to skip
 * @return the new stream
 * @throws IllegalArgumentException if {@code n} is negative
 * @see #skip(long)
 * @since 0.3.2
 */
public LongStreamEx skipOrdered(long n) {
    Spliterator.OfLong spliterator = (isParallel() ? StreamSupport.longStream(spliterator(), false) : stream())
            .skip(n).spliterator();
    return delegate(spliterator);
}
项目:streamex    文件:LongStreamEx.java   
/**
 * Returns a stream containing cumulative results of applying the
 * accumulation function going left to right.
 * 
 * <p>
 * This is a stateful
 * <a href="package-summary.html#StreamOps">quasi-intermediate</a>
 * operation.
 *
 * <p>
 * This operation resembles {@link #scanLeft(LongBinaryOperator)}, but
 * unlike {@code scanLeft} this operation is intermediate and accumulation
 * function must be associative.
 * 
 * <p>
 * This method cannot take all the advantages of parallel streams as it must
 * process elements strictly left to right. Using an unordered source or
 * removing the ordering constraint with {@link #unordered()} may improve
 * the parallel processing speed.
 *
 * @param op an <a href="package-summary.html#Associativity">associative</a>
 *        , <a href="package-summary.html#NonInterference">non-interfering
 *        </a>, <a href="package-summary.html#Statelessness">stateless</a>
 *        function for computing the next element based on the previous one
 * @return the new stream.
 * @see #scanLeft(LongBinaryOperator)
 * @since 0.6.1
 */
public LongStreamEx prefix(LongBinaryOperator op) {
    return delegate(new PrefixOps.OfLong(spliterator(), op));
}
项目:streamex    文件:LongStreamEx.java   
/**
 * Returns a sequential {@code LongStreamEx} containing a single element.
 *
 * @param element the single element
 * @return a singleton sequential stream
 */
public static LongStreamEx of(long element) {
    return of(new ConstSpliterator.OfLong(element, 1, true));
}
项目:streamex    文件:LongStreamEx.java   
/**
 * Returns a sequential {@link LongStreamEx} created from given
 * {@link java.util.Spliterator.OfLong}.
 * 
 * @param spliterator a spliterator to create the stream from.
 * @return the new stream
 * @since 0.3.4
 */
public static LongStreamEx of(Spliterator.OfLong spliterator) {
    return new LongStreamEx(spliterator, StreamContext.SEQUENTIAL);
}
项目:streamex    文件:LongStreamEx.java   
/**
 * Returns a sequential, ordered {@link LongStreamEx} created from given
 * {@link java.util.PrimitiveIterator.OfLong}.
 *
 * <p>
 * This method is roughly equivalent to
 * {@code LongStreamEx.of(Spliterators.spliteratorUnknownSize(iterator, ORDERED))}
 * , but may show better performance for parallel processing.
 * 
 * <p>
 * Use this method only if you cannot provide better Stream source.
 *
 * @param iterator an iterator to create the stream from.
 * @return the new stream
 * @since 0.5.1
 */
public static LongStreamEx of(PrimitiveIterator.OfLong iterator) {
    return of(new UnknownSizeSpliterator.USOfLong(iterator));
}
项目:streamex    文件:LongStreamEx.java   
/**
 * Returns a sequential unordered {@code LongStreamEx} of given length which
 * elements are equal to supplied value.
 * 
 * @param value the constant value
 * @param length the length of the stream
 * @return a new {@code LongStreamEx}
 * @since 0.1.2
 */
public static LongStreamEx constant(long value, long length) {
    return of(new ConstSpliterator.OfLong(value, length, false));
}
项目:streamex    文件:LongStreamEx.java   
/**
 * Returns the spliterator which covers all the elements emitted by this
 * emitter.
 * 
 * @return the new spliterator
 */
default Spliterator.OfLong spliterator() {
    return new EmitterSpliterator.OfLong(this);
}