import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
public static Name makeOperator(String name, DoubleBinaryOperator dbo) {
	return new Name(name, toTableConsumer(stack -> {
		int rightCount = (int) ((Column.OfConstantDoubles) stack.removeFirst()).getValue().doubleValue();
		if (stack.size() < rightCount + 1) {
			throw new IllegalArgumentException("Not enough inputs for " + name);
		}
		LinkedList<Column<?,?>> rights = new LinkedList<>(stack.subList(0, rightCount));
		List<Column<?,?>> lefts = new ArrayList<>(stack.subList(rightCount, stack.size()));
		stack.clear();
		for (int i = 0; i < lefts.size(); i++) {
			Column<?,?> right = i >= rights.size() ? rights.getFirst().clone() : rights.getFirst();
			rights.addLast(rights.removeFirst());
			stack.add(new Column.OfDoubles(inputs -> inputs[1].toString() + " " + inputs[0].toString() + " " + name,
					inputs -> range -> {
						OfDouble leftIterator = ((Column.OfDoubles)inputs[1]).rows().iterator();
						return  ((Column.OfDoubles)inputs[0]).rows().map(r -> dbo.applyAsDouble(leftIterator.nextDouble(), r));
					}, right, lefts.get(i)));
		}
	}),"[n=1,:]", "Binary double operator " + name + " that operates on *n* columns at a time with fixed right-side operand.");
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
public String toCsv(DateTimeFormatter dtf, NumberFormat nf) {
	StringBuilder sb = new StringBuilder();
	sb.append(streamInReverse(peekStack()).map(Column::getHeader).collect(Collectors.joining(",","Date,","\n")));
	if(getRange().isPresent()) {
		List<LocalDate> d = getRange().get().dates();
		List<OfDouble> s = peekStack().stream().map(c -> (Column.OfDoubles) c).map(c -> c.rows())
				.map(DoubleStream::iterator).collect(Collectors.toList());
		for(int row = 0; row < getRange().get().size(); row++) {
			sb.append(d.get(row).format(dtf)).append(",");
			for (int col = peekStack().size() - 1; col > -1; col--) {
				sb.append(nf.format(s.get(col).nextDouble()));
				sb.append(col > 0 ? "," : "\n");
			}
		}
	}
	return sb.toString();
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
/**
 * Returns a {@code float[]} array containing the elements of this stream
 * which are converted to floats using {@code (float)} cast operation.
 *
 * <p>
 * This is a terminal operation.
 *
 * @return an array containing the elements of this stream
 * @since 0.3.0
 */
public float[] toFloatArray() {
    if (isParallel())
        return collect(DoubleCollector.toFloatArray());
    java.util.Spliterator.OfDouble spliterator = spliterator();
    long size = spliterator.getExactSizeIfKnown();
    FloatBuffer buf;
    if (size >= 0 && size <= Integer.MAX_VALUE) {
        buf = new FloatBuffer((int) size);
        spliterator.forEachRemaining((DoubleConsumer) buf::addUnsafe);
    } else {
        buf = new FloatBuffer();
        spliterator.forEachRemaining((DoubleConsumer) buf::add);
    }
    return buf.toArray();
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
@Test
public void testDropWhile() {
    assertArrayEquals(new double[] { 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 }, LongStreamEx.range(100).asDoubleStream()
            .dropWhile(i -> i % 10 < 5).limit(10).toArray(), 0.0);
    assertEquals(100, LongStreamEx.range(100).asDoubleStream().sorted().dropWhile(i -> i % 10 < 0).count());
    assertEquals(0, LongStreamEx.range(100).asDoubleStream().dropWhile(i -> i % 10 < 10).count());
    assertEquals(OptionalDouble.of(0), LongStreamEx.range(100).asDoubleStream().dropWhile(i -> i % 10 < 0).findFirst());
    assertEquals(OptionalDouble.empty(), LongStreamEx.range(100).asDoubleStream().dropWhile(i -> i % 10 < 10).findFirst());

    java.util.Spliterator.OfDouble spltr = LongStreamEx.range(100).asDoubleStream().dropWhile(i -> i % 10 < 1).spliterator();
    assertTrue(spltr.tryAdvance((double x) -> assertEquals(1, x, 0.0)));
    Builder builder = DoubleStream.builder();
    spltr.forEachRemaining(builder);
    assertArrayEquals(LongStreamEx.range(2, 100).asDoubleStream().toArray(), builder.build().toArray(), 0.0);
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
@Override
public OfDouble iterator() {
  return this.delegate.iterator();
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
@Override
public java.util.Spliterator.OfDouble spliterator() {
  return this.delegate.spliterator();
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
DoubleStreamEx(Spliterator.OfDouble spliterator, StreamContext context) {
    super(spliterator, context);
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
final DoubleStreamEx delegate(Spliterator.OfDouble spliterator) {
    return new DoubleStreamEx(spliterator, context);
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
@Override
public OfDouble iterator() {
    return Spliterators.iterator(spliterator());
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
@Test
public void testBasics() {
    assertFalse(DoubleStreamEx.of(1).isParallel());
    assertTrue(DoubleStreamEx.of(1).parallel().isParallel());
    assertFalse(DoubleStreamEx.of(1).parallel().sequential().isParallel());
    AtomicInteger i = new AtomicInteger();
    try (DoubleStreamEx s = DoubleStreamEx.of(1).onClose(i::incrementAndGet)) {
        assertEquals(1, s.count());
    }
    assertEquals(1, i.get());
    assertEquals(6, IntStreamEx.range(0, 4).asDoubleStream().sum(), 0);
    assertEquals(3, IntStreamEx.range(0, 4).asDoubleStream().max().getAsDouble(), 0);
    assertEquals(0, IntStreamEx.range(0, 4).asDoubleStream().min().getAsDouble(), 0);
    assertEquals(1.5, IntStreamEx.range(0, 4).asDoubleStream().average().getAsDouble(), 0.000001);
    assertEquals(4, IntStreamEx.range(0, 4).asDoubleStream().summaryStatistics().getCount());
    assertArrayEquals(new double[] { 1, 2, 3 },
        IntStreamEx.range(0, 5).asDoubleStream().skip(1).limit(3).toArray(), 0.0);
    assertArrayEquals(new double[] { 1, 2, 3 }, DoubleStreamEx.of(3, 1, 2).sorted().toArray(), 0.0);
    assertArrayEquals(new double[] { 1, 2, 3 }, DoubleStreamEx.of(1, 2, 1, 3, 2).distinct().toArray(), 0.0);
    assertArrayEquals(new int[] { 2, 4, 6 }, IntStreamEx.range(1, 4).asDoubleStream().mapToInt(x -> (int) x * 2)
            .toArray());
    assertArrayEquals(new long[] { 2, 4, 6 }, IntStreamEx.range(1, 4).asDoubleStream().mapToLong(x -> (long) x * 2)
            .toArray());
    assertArrayEquals(new double[] { 2, 4, 6 }, IntStreamEx.range(1, 4).asDoubleStream().map(x -> x * 2).toArray(),
        0.0);
    assertArrayEquals(new double[] { 1, 3 }, IntStreamEx.range(0, 5).asDoubleStream().filter(x -> x % 2 == 1)
            .toArray(), 0.0);
    assertEquals(6.0, DoubleStreamEx.of(1.0, 2.0, 3.0).reduce(Double::sum).getAsDouble(), 0.0);
    assertEquals(Long.MAX_VALUE, LongStreamEx.rangeClosed(1, Long.MAX_VALUE).asDoubleStream().spliterator()
            .getExactSizeIfKnown());

    assertArrayEquals(new double[] { 4, 2, 0, -2, -4 }, DoubleStreamEx.zip(new double[] { 5, 4, 3, 2, 1 },
        new double[] { 1, 2, 3, 4, 5 }, (a, b) -> a - b).toArray(), 0.0);
    assertEquals("1.0; 0.5; 0.25; 0.125", DoubleStreamEx.of(1.0, 0.5, 0.25, 0.125).mapToObj(String::valueOf)
            .joining("; "));
    List<Double> list = new ArrayList<>();
    DoubleStreamEx.of(1.0, 0.5, 0.25, 0.125).forEach(list::add);
    assertEquals(Arrays.asList(1.0, 0.5, 0.25, 0.125), list);
    list = new ArrayList<>();
    DoubleStreamEx.of(1.0, 0.5, 0.25, 0.125).parallel().forEachOrdered(list::add);
    assertEquals(Arrays.asList(1.0, 0.5, 0.25, 0.125), list);

    assertFalse(DoubleStreamEx.of(1.0, 2.0, 2.5).anyMatch(x -> x < 0.0));
    assertTrue(DoubleStreamEx.of(1.0, 2.0, 2.5).anyMatch(x -> x >= 2.5));
    assertTrue(DoubleStreamEx.of(1.0, 2.0, 2.5).noneMatch(x -> x < 0.0));
    assertFalse(DoubleStreamEx.of(1.0, 2.0, 2.5).noneMatch(x -> x >= 2.5));
    assertEquals(5.0, DoubleStreamEx.of(1.0, 2.0, 2.5).reduce(1, (a, b) -> a * b), 0.0);

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

    OfDouble iterator = DoubleStreamEx.of(1.0, 2.0, 3.0).iterator();
    assertEquals(1.0, iterator.next(), 0.0);
    assertEquals(2.0, iterator.next(), 0.0);
    assertEquals(3.0, iterator.next(), 0.0);
    assertFalse(iterator.hasNext());
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
@Override
public OfDouble iterator() {
  return ThrowingBridge.of(getDelegate().iterator(), getExceptionClass());
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
@Override
public Spliterator.OfDouble spliterator() {
  return ThrowingBridge.of(getDelegate().spliterator(), getExceptionClass());
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
/**
 * 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(DoubleBinaryOperator)
 * @since 0.5.1
 */
public double[] scanLeft(DoubleBinaryOperator accumulator) {
    Spliterator.OfDouble spliterator = spliterator();
    double size = spliterator.getExactSizeIfKnown();
    DoubleBuffer buf = new DoubleBuffer(size >= 0 && size <= Integer.MAX_VALUE ? (int) size : INITIAL_SIZE);
    delegate(spliterator).forEachOrdered(i -> buf.add(buf.size == 0 ? i
            : accumulator.applyAsDouble(buf.data[buf.size - 1], i)));
    return buf.toArray();
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
/**
 * Creates a <strong>parallel</strong> {@code double} stream from the given Spliterator. This operation is similar to
 * calling {@code StreamSupport.doubleStream(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.OfDouble} 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 double} stream that executes a terminal operation in the given {@link ForkJoinPool}.
 * @see StreamSupport#doubleStream(Spliterator.OfDouble, boolean)
 */
public static DoubleStream parallelStream(Spliterator.OfDouble spliterator, ForkJoinPool workerPool) {
  requireNonNull(spliterator, "Spliterator must not be null");

  return new ParallelDoubleStreamSupport(doubleStream(spliterator, true), workerPool);
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
/**
 * 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(DoubleConsumer)}). This problem was fixed in OracleJDK
 * 8u60.
 * 
 * <p>
 * Also it behaves much better with infinite streams processed in parallel.
 * For example,
 * {@code DoubleStreamEx.iterate(0.0, 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 DoubleStreamEx skipOrdered(long n) {
    Spliterator.OfDouble spliterator = (isParallel() ? StreamSupport.doubleStream(spliterator(), false) : stream())
            .skip(n).spliterator();
    return delegate(spliterator);
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
/**
 * 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(DoubleBinaryOperator)}, 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(DoubleBinaryOperator)
 * @since 0.6.1
 */
public DoubleStreamEx prefix(DoubleBinaryOperator op) {
    return delegate(new PrefixOps.OfDouble(spliterator(), op));
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
/**
 * Returns a sequential {@code DoubleStreamEx} containing a single element.
 *
 * @param element the single element
 * @return a singleton sequential stream
 */
public static DoubleStreamEx of(double element) {
    return of(new ConstSpliterator.OfDouble(element, 1, true));
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
/**
 * Returns a sequential unordered {@code DoubleStreamEx} 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 DoubleStreamEx}
 * @since 0.1.2
 */
public static DoubleStreamEx constant(double value, long length) {
    return of(new ConstSpliterator.OfDouble(value, length, false));
}
 

import java.util.PrimitiveIterator.OfDouble; //导入依赖的package包/类
/**
 * Returns the spliterator which covers all the elements emitted by this
 * emitter.
 * 
 * @return the new spliterator
 */
default Spliterator.OfDouble spliterator() {
    return new EmitterSpliterator.OfDouble(this);
}