java.util.function.DoubleBinaryOperator Java Examples

The following examples show how to use java.util.function.DoubleBinaryOperator. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example #1
Source File: PrimitiveSumMinMaxTest.java    From openjdk-jdk8u-backup with GNU General Public License v2.0 6 votes vote down vote up 
public void testDoubleMethods() {
    BinaryOperator<Double> sum1 = Double::sum;
    DoubleBinaryOperator sum2 = Double::sum;
    BinaryOperator<Double> max1 = Double::max;
    DoubleBinaryOperator max2 = Double::max;
    BinaryOperator<Double> min1 = Double::min;
    DoubleBinaryOperator min2 = Double::min;
    Comparator<Double> cmp = Double::compare;

    double[] numbers = { -1, 0, 1, 100, Double.MAX_VALUE, Double.MIN_VALUE };
    for (double i : numbers) {
        for (double j : numbers) {
            assertEquals(i+j, (double) sum1.apply(i, j));
            assertEquals(i+j, sum2.applyAsDouble(i, j));
            assertEquals(Math.max(i,j), (double) max1.apply(i, j));
            assertEquals(Math.max(i,j), max2.applyAsDouble(i, j));
            assertEquals(Math.min(i,j), (double) min1.apply(i, j));
            assertEquals(Math.min(i,j), min2.applyAsDouble(i, j));
            assertEquals(((Double) i).compareTo(j), cmp.compare(i, j));
        }
    }
}
Example #2
Source File: PrimitiveSumMinMaxTest.java    From jdk8u60 with GNU General Public License v2.0 6 votes vote down vote up 
public void testDoubleMethods() {
    BinaryOperator<Double> sum1 = Double::sum;
    DoubleBinaryOperator sum2 = Double::sum;
    BinaryOperator<Double> max1 = Double::max;
    DoubleBinaryOperator max2 = Double::max;
    BinaryOperator<Double> min1 = Double::min;
    DoubleBinaryOperator min2 = Double::min;
    Comparator<Double> cmp = Double::compare;

    double[] numbers = { -1, 0, 1, 100, Double.MAX_VALUE, Double.MIN_VALUE };
    for (double i : numbers) {
        for (double j : numbers) {
            assertEquals(i+j, (double) sum1.apply(i, j));
            assertEquals(i+j, sum2.applyAsDouble(i, j));
            assertEquals(Math.max(i,j), (double) max1.apply(i, j));
            assertEquals(Math.max(i,j), max2.applyAsDouble(i, j));
            assertEquals(Math.min(i,j), (double) min1.apply(i, j));
            assertEquals(Math.min(i,j), min2.applyAsDouble(i, j));
            assertEquals(((Double) i).compareTo(j), cmp.compare(i, j));
        }
    }
}
Example #3
Source File: Matrix.java    From symbol-sdk-java with Apache License 2.0 6 votes vote down vote up 
private Matrix join(final Matrix matrix, final boolean isTwoWay,
    final DoubleBinaryOperator op) {
    if (!this.isSameSize(matrix)) {
        throw new IllegalArgumentException("matrix sizes must be equal");
    }

    final Matrix result = this.create(this.getRowCount(), this.getColumnCount());
    this.forEach(
        (r, c, v) -> result
            .setAtUnchecked(r, c, op.applyAsDouble(v, matrix.getAtUnchecked(r, c))));

    if (isTwoWay) {
        matrix.forEach(
            (r, c, v) -> result
                .setAtUnchecked(r, c, op.applyAsDouble(v, this.getAtUnchecked(r, c))));
    }

    return result;
}
Example #4
Source File: PrimitiveSumMinMaxTest.java    From TencentKona-8 with GNU General Public License v2.0 6 votes vote down vote up 
public void testDoubleMethods() {
    BinaryOperator<Double> sum1 = Double::sum;
    DoubleBinaryOperator sum2 = Double::sum;
    BinaryOperator<Double> max1 = Double::max;
    DoubleBinaryOperator max2 = Double::max;
    BinaryOperator<Double> min1 = Double::min;
    DoubleBinaryOperator min2 = Double::min;
    Comparator<Double> cmp = Double::compare;

    double[] numbers = { -1, 0, 1, 100, Double.MAX_VALUE, Double.MIN_VALUE };
    for (double i : numbers) {
        for (double j : numbers) {
            assertEquals(i+j, (double) sum1.apply(i, j));
            assertEquals(i+j, sum2.applyAsDouble(i, j));
            assertEquals(Math.max(i,j), (double) max1.apply(i, j));
            assertEquals(Math.max(i,j), max2.applyAsDouble(i, j));
            assertEquals(Math.min(i,j), (double) min1.apply(i, j));
            assertEquals(Math.min(i,j), min2.applyAsDouble(i, j));
            assertEquals(((Double) i).compareTo(j), cmp.compare(i, j));
        }
    }
}
Example #5
Source File: ParallelPrefix.java    From openjdk-jdk9 with GNU General Public License v2.0 5 votes vote down vote up 
@DataProvider(name = "doubleSet")
public static Object[][] doubleSet(){
    return genericData(size -> IntStream.range(0, size).mapToDouble(i -> (double)i).toArray(),
            new DoubleBinaryOperator[]{
                Double::sum,
                Double::min});
}
Example #6
Source File: ArrayPrefixHelpers.java    From JDKSourceCode1.8 with MIT License 5 votes vote down vote up 
/** Subtask constructor */
DoubleCumulateTask(DoubleCumulateTask parent, DoubleBinaryOperator function,
                   double[] array, int origin, int fence, int threshold,
                   int lo, int hi) {
    super(parent);
    this.function = function; this.array = array;
    this.origin = origin; this.fence = fence;
    this.threshold = threshold;
    this.lo = lo; this.hi = hi;
}
Example #7
Source File: ReduceOps.java    From desugar_jdk_libs with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Constructs a {@code TerminalOp} that implements a functional reduce on
 * {@code double} values.
 *
 * @param identity the identity for the combining function
 * @param operator the combining function
 * @return a {@code TerminalOp} implementing the reduction
 */
public static TerminalOp<Double, Double>
makeDouble(double identity, DoubleBinaryOperator operator) {
    Objects.requireNonNull(operator);
    class ReducingSink
            implements AccumulatingSink<Double, Double, ReducingSink>, Sink.OfDouble {
        private double state;

        @Override
        public void begin(long size) {
            state = identity;
        }

        @Override
        public void accept(double t) {
            state = operator.applyAsDouble(state, t);
        }

        @Override
        public Double get() {
            return state;
        }

        @Override
        public void combine(ReducingSink other) {
            accept(other.state);
        }
    }
    return new ReduceOp<Double, Double, ReducingSink>(StreamShape.DOUBLE_VALUE) {
        @Override
        public ReducingSink makeSink() {
            return new ReducingSink();
        }
    };
}
Example #8
Source File: Serial.java    From dragonwell8_jdk with GNU General Public License v2.0 5 votes vote down vote up 
static void testDoubleAccumulator() {
    DoubleBinaryOperator plus = (DoubleBinaryOperator & Serializable) (x, y) -> x + y;
    DoubleAccumulator a = new DoubleAccumulator(plus, 13.9d);
    a.accumulate(17.5d);
    DoubleAccumulator result = echo(a);
    if (result.get() != a.get())
        throw new RuntimeException("Unexpected value");
    a.reset();
    result.reset();
    if (result.get() != a.get())
        throw new RuntimeException("Unexpected value after reset");

    checkSerialClassName(a, "java.util.concurrent.atomic.DoubleAccumulator$SerializationProxy");
}
Example #9
Source File: ReduceOps.java    From openjdk-jdk8u with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Constructs a {@code TerminalOp} that implements a functional reduce on
 * {@code double} values.
 *
 * @param identity the identity for the combining function
 * @param operator the combining function
 * @return a {@code TerminalOp} implementing the reduction
 */
public static TerminalOp<Double, Double>
makeDouble(double identity, DoubleBinaryOperator operator) {
    Objects.requireNonNull(operator);
    class ReducingSink
            implements AccumulatingSink<Double, Double, ReducingSink>, Sink.OfDouble {
        private double state;

        @Override
        public void begin(long size) {
            state = identity;
        }

        @Override
        public void accept(double t) {
            state = operator.applyAsDouble(state, t);
        }

        @Override
        public Double get() {
            return state;
        }

        @Override
        public void combine(ReducingSink other) {
            accept(other.state);
        }
    }
    return new ReduceOp<Double, Double, ReducingSink>(StreamShape.DOUBLE_VALUE) {
        @Override
        public ReducingSink makeSink() {
            return new ReducingSink();
        }
    };
}
Example #10
Source File: Serial.java    From openjdk-jdk8u-backup with GNU General Public License v2.0 5 votes vote down vote up 
static void testDoubleAccumulator() {
    DoubleBinaryOperator plus = (DoubleBinaryOperator & Serializable) (x, y) -> x + y;
    DoubleAccumulator a = new DoubleAccumulator(plus, 13.9d);
    a.accumulate(17.5d);
    DoubleAccumulator result = echo(a);
    if (result.get() != a.get())
        throw new RuntimeException("Unexpected value");
    a.reset();
    result.reset();
    if (result.get() != a.get())
        throw new RuntimeException("Unexpected value after reset");

    checkSerialClassName(a, "java.util.concurrent.atomic.DoubleAccumulator$SerializationProxy");
}
Example #11
Source File: ReduceOps.java    From dragonwell8_jdk with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Constructs a {@code TerminalOp} that implements a functional reduce on
 * {@code double} values.
 *
 * @param identity the identity for the combining function
 * @param operator the combining function
 * @return a {@code TerminalOp} implementing the reduction
 */
public static TerminalOp<Double, Double>
makeDouble(double identity, DoubleBinaryOperator operator) {
    Objects.requireNonNull(operator);
    class ReducingSink
            implements AccumulatingSink<Double, Double, ReducingSink>, Sink.OfDouble {
        private double state;

        @Override
        public void begin(long size) {
            state = identity;
        }

        @Override
        public void accept(double t) {
            state = operator.applyAsDouble(state, t);
        }

        @Override
        public Double get() {
            return state;
        }

        @Override
        public void combine(ReducingSink other) {
            accept(other.state);
        }
    }
    return new ReduceOp<Double, Double, ReducingSink>(StreamShape.DOUBLE_VALUE) {
        @Override
        public ReducingSink makeSink() {
            return new ReducingSink();
        }
    };
}
Example #12
Source File: ReduceOps.java    From jdk8u-jdk with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Constructs a {@code TerminalOp} that implements a functional reduce on
 * {@code double} values.
 *
 * @param identity the identity for the combining function
 * @param operator the combining function
 * @return a {@code TerminalOp} implementing the reduction
 */
public static TerminalOp<Double, Double>
makeDouble(double identity, DoubleBinaryOperator operator) {
    Objects.requireNonNull(operator);
    class ReducingSink
            implements AccumulatingSink<Double, Double, ReducingSink>, Sink.OfDouble {
        private double state;

        @Override
        public void begin(long size) {
            state = identity;
        }

        @Override
        public void accept(double t) {
            state = operator.applyAsDouble(state, t);
        }

        @Override
        public Double get() {
            return state;
        }

        @Override
        public void combine(ReducingSink other) {
            accept(other.state);
        }
    }
    return new ReduceOp<Double, Double, ReducingSink>(StreamShape.DOUBLE_VALUE) {
        @Override
        public ReducingSink makeSink() {
            return new ReducingSink();
        }
    };
}
Example #13
Source File: ParallelPrefix.java    From dragonwell8_jdk with GNU General Public License v2.0 5 votes vote down vote up 
@Test(dataProvider="doubleSet")
public void testParallelPrefixForDouble(double[] data, int fromIndex, int toIndex, DoubleBinaryOperator op) {
    double[] sequentialResult = data.clone();
    for (int index = fromIndex + 1; index < toIndex; index++) {
        sequentialResult[index ] = op.applyAsDouble(sequentialResult[index  - 1], sequentialResult[index]);
    }

    double[] parallelResult = data.clone();
    Arrays.parallelPrefix(parallelResult, fromIndex, toIndex, op);
    assertEquals(parallelResult, sequentialResult);

    double[] parallelRangeResult = Arrays.copyOfRange(data, fromIndex, toIndex);
    Arrays.parallelPrefix(parallelRangeResult, op);
    assertEquals(parallelRangeResult, Arrays.copyOfRange(sequentialResult, fromIndex, toIndex));
}
Example #14
Source File: ArrayPrefixHelpers.java    From jdk1.8-source-analysis with Apache License 2.0 5 votes vote down vote up 
/** Subtask constructor */
DoubleCumulateTask(DoubleCumulateTask parent, DoubleBinaryOperator function,
                   double[] array, int origin, int fence, int threshold,
                   int lo, int hi) {
    super(parent);
    this.function = function; this.array = array;
    this.origin = origin; this.fence = fence;
    this.threshold = threshold;
    this.lo = lo; this.hi = hi;
}
Example #15
Source File: ArrayPrefixHelpers.java    From jdk1.8-source-analysis with Apache License 2.0 5 votes vote down vote up 
/** Root task constructor */
public DoubleCumulateTask(DoubleCumulateTask parent,
                          DoubleBinaryOperator function,
                          double[] array, int lo, int hi) {
    super(parent);
    this.function = function; this.array = array;
    this.lo = this.origin = lo; this.hi = this.fence = hi;
    int p;
    this.threshold =
            (p = (hi - lo) / (ForkJoinPool.getCommonPoolParallelism() << 3))
            <= MIN_PARTITION ? MIN_PARTITION : p;
}
Example #16
Source File: ParallelPrefix.java    From openjdk-jdk8u with GNU General Public License v2.0 5 votes vote down vote up 
@DataProvider
public static Object[][] doubleSet(){
    return genericData(size -> IntStream.range(0, size).mapToDouble(i -> (double)i).toArray(),
            new DoubleBinaryOperator[]{
                Double::sum,
                Double::min});
}
Example #17
Source File: ParallelPrefix.java    From openjdk-jdk9 with GNU General Public License v2.0 5 votes vote down vote up 
@Test(dataProvider="doubleSet")
public void testParallelPrefixForDouble(double[] data, int fromIndex, int toIndex, DoubleBinaryOperator op) {
    double[] sequentialResult = data.clone();
    for (int index = fromIndex + 1; index < toIndex; index++) {
        sequentialResult[index ] = op.applyAsDouble(sequentialResult[index  - 1], sequentialResult[index]);
    }

    double[] parallelResult = data.clone();
    Arrays.parallelPrefix(parallelResult, fromIndex, toIndex, op);
    assertArraysEqual(parallelResult, sequentialResult);

    double[] parallelRangeResult = Arrays.copyOfRange(data, fromIndex, toIndex);
    Arrays.parallelPrefix(parallelRangeResult, op);
    assertArraysEqual(parallelRangeResult, Arrays.copyOfRange(sequentialResult, fromIndex, toIndex));
}
Example #18
Source File: ArrayPrefixHelpers.java    From openjdk-jdk8u-backup with GNU General Public License v2.0 5 votes vote down vote up 
/** Subtask constructor */
DoubleCumulateTask(DoubleCumulateTask parent, DoubleBinaryOperator function,
                   double[] array, int origin, int fence, int threshold,
                   int lo, int hi) {
    super(parent);
    this.function = function; this.array = array;
    this.origin = origin; this.fence = fence;
    this.threshold = threshold;
    this.lo = lo; this.hi = hi;
}
Example #19
Source File: ReduceOps.java    From TencentKona-8 with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Constructs a {@code TerminalOp} that implements a functional reduce on
 * {@code double} values.
 *
 * @param identity the identity for the combining function
 * @param operator the combining function
 * @return a {@code TerminalOp} implementing the reduction
 */
public static TerminalOp<Double, Double>
makeDouble(double identity, DoubleBinaryOperator operator) {
    Objects.requireNonNull(operator);
    class ReducingSink
            implements AccumulatingSink<Double, Double, ReducingSink>, Sink.OfDouble {
        private double state;

        @Override
        public void begin(long size) {
            state = identity;
        }

        @Override
        public void accept(double t) {
            state = operator.applyAsDouble(state, t);
        }

        @Override
        public Double get() {
            return state;
        }

        @Override
        public void combine(ReducingSink other) {
            accept(other.state);
        }
    }
    return new ReduceOp<Double, Double, ReducingSink>(StreamShape.DOUBLE_VALUE) {
        @Override
        public ReducingSink makeSink() {
            return new ReducingSink();
        }
    };
}
Example #20
Source File: ArrayPrefixHelpers.java    From TencentKona-8 with GNU General Public License v2.0 5 votes vote down vote up 
/** Subtask constructor */
DoubleCumulateTask(DoubleCumulateTask parent, DoubleBinaryOperator function,
                   double[] array, int origin, int fence, int threshold,
                   int lo, int hi) {
    super(parent);
    this.function = function; this.array = array;
    this.origin = origin; this.fence = fence;
    this.threshold = threshold;
    this.lo = lo; this.hi = hi;
}
Example #21
Source File: ParallelPrefix.java    From TencentKona-8 with GNU General Public License v2.0 5 votes vote down vote up 
@DataProvider
public static Object[][] doubleSet(){
    return genericData(size -> IntStream.range(0, size).mapToDouble(i -> (double)i).toArray(),
            new DoubleBinaryOperator[]{
                Double::sum,
                Double::min});
}
Example #22
Source File: ReduceOps.java    From openjdk-jdk9 with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Constructs a {@code TerminalOp} that implements a functional reduce on
 * {@code double} values.
 *
 * @param identity the identity for the combining function
 * @param operator the combining function
 * @return a {@code TerminalOp} implementing the reduction
 */
public static TerminalOp<Double, Double>
makeDouble(double identity, DoubleBinaryOperator operator) {
    Objects.requireNonNull(operator);
    class ReducingSink
            implements AccumulatingSink<Double, Double, ReducingSink>, Sink.OfDouble {
        private double state;

        @Override
        public void begin(long size) {
            state = identity;
        }

        @Override
        public void accept(double t) {
            state = operator.applyAsDouble(state, t);
        }

        @Override
        public Double get() {
            return state;
        }

        @Override
        public void combine(ReducingSink other) {
            accept(other.state);
        }
    }
    return new ReduceOp<Double, Double, ReducingSink>(StreamShape.DOUBLE_VALUE) {
        @Override
        public ReducingSink makeSink() {
            return new ReducingSink();
        }
    };
}
Example #23
Source File: Serial.java    From TencentKona-8 with GNU General Public License v2.0 5 votes vote down vote up 
static void testDoubleAccumulator() {
    DoubleBinaryOperator plus = (DoubleBinaryOperator & Serializable) (x, y) -> x + y;
    DoubleAccumulator a = new DoubleAccumulator(plus, 13.9d);
    a.accumulate(17.5d);
    DoubleAccumulator result = echo(a);
    if (result.get() != a.get())
        throw new RuntimeException("Unexpected value");
    a.reset();
    result.reset();
    if (result.get() != a.get())
        throw new RuntimeException("Unexpected value after reset");

    checkSerialClassName(a, "java.util.concurrent.atomic.DoubleAccumulator$SerializationProxy");
}
Example #24
Source File: ArrayPrefixHelpers.java    From Bytecoder with Apache License 2.0 5 votes vote down vote up 
/** Root task constructor */
public DoubleCumulateTask(DoubleCumulateTask parent,
                          DoubleBinaryOperator function,
                          double[] array, int lo, int hi) {
    super(parent);
    this.function = function; this.array = array;
    this.lo = this.origin = lo; this.hi = this.fence = hi;
    int p;
    this.threshold =
        (p = (hi - lo) / (ForkJoinPool.getCommonPoolParallelism() << 3))
        <= MIN_PARTITION ? MIN_PARTITION : p;
}
Example #25
Source File: DoubleAccumulator.java    From Bytecoder with Apache License 2.0 5 votes vote down vote up 
SerializationProxy(double value,
                   DoubleBinaryOperator function,
                   long identity) {
    this.value = value;
    this.function = function;
    this.identity = identity;
}
Example #26
Source File: ArrayPrefixHelpers.java    From openjdk-jdk9 with GNU General Public License v2.0 5 votes vote down vote up 
/** Subtask constructor */
DoubleCumulateTask(DoubleCumulateTask parent, DoubleBinaryOperator function,
                   double[] array, int origin, int fence, int threshold,
                   int lo, int hi) {
    super(parent);
    this.function = function; this.array = array;
    this.origin = origin; this.fence = fence;
    this.threshold = threshold;
    this.lo = lo; this.hi = hi;
}
Example #27
Source File: ReduceOps.java    From openjdk-jdk8u-backup with GNU General Public License v2.0 5 votes vote down vote up 
/**
 * Constructs a {@code TerminalOp} that implements a functional reduce on
 * {@code double} values.
 *
 * @param identity the identity for the combining function
 * @param operator the combining function
 * @return a {@code TerminalOp} implementing the reduction
 */
public static TerminalOp<Double, Double>
makeDouble(double identity, DoubleBinaryOperator operator) {
    Objects.requireNonNull(operator);
    class ReducingSink
            implements AccumulatingSink<Double, Double, ReducingSink>, Sink.OfDouble {
        private double state;

        @Override
        public void begin(long size) {
            state = identity;
        }

        @Override
        public void accept(double t) {
            state = operator.applyAsDouble(state, t);
        }

        @Override
        public Double get() {
            return state;
        }

        @Override
        public void combine(ReducingSink other) {
            accept(other.state);
        }
    }
    return new ReduceOp<Double, Double, ReducingSink>(StreamShape.DOUBLE_VALUE) {
        @Override
        public ReducingSink makeSink() {
            return new ReducingSink();
        }
    };
}
Example #28
Source File: ReduceOps.java    From Bytecoder with Apache License 2.0 5 votes vote down vote up 
/**
 * Constructs a {@code TerminalOp} that implements a functional reduce on
 * {@code double} values.
 *
 * @param identity the identity for the combining function
 * @param operator the combining function
 * @return a {@code TerminalOp} implementing the reduction
 */
public static TerminalOp<Double, Double>
makeDouble(double identity, DoubleBinaryOperator operator) {
    Objects.requireNonNull(operator);
    class ReducingSink
            implements AccumulatingSink<Double, Double, ReducingSink>, Sink.OfDouble {
        private double state;

        @Override
        public void begin(long size) {
            state = identity;
        }

        @Override
        public void accept(double t) {
            state = operator.applyAsDouble(state, t);
        }

        @Override
        public Double get() {
            return state;
        }

        @Override
        public void combine(ReducingSink other) {
            accept(other.state);
        }
    }
    return new ReduceOp<Double, Double, ReducingSink>(StreamShape.DOUBLE_VALUE) {
        @Override
        public ReducingSink makeSink() {
            return new ReducingSink();
        }
    };
}
Example #29
Source File: ParallelPrefix.java    From jdk8u60 with GNU General Public License v2.0 5 votes vote down vote up 
@Test(dataProvider="doubleSet")
public void testParallelPrefixForDouble(double[] data, int fromIndex, int toIndex, DoubleBinaryOperator op) {
    double[] sequentialResult = data.clone();
    for (int index = fromIndex + 1; index < toIndex; index++) {
        sequentialResult[index ] = op.applyAsDouble(sequentialResult[index  - 1], sequentialResult[index]);
    }

    double[] parallelResult = data.clone();
    Arrays.parallelPrefix(parallelResult, fromIndex, toIndex, op);
    assertEquals(parallelResult, sequentialResult);

    double[] parallelRangeResult = Arrays.copyOfRange(data, fromIndex, toIndex);
    Arrays.parallelPrefix(parallelRangeResult, op);
    assertEquals(parallelRangeResult, Arrays.copyOfRange(sequentialResult, fromIndex, toIndex));
}
Example #30
Source File: FloatStamp.java    From openjdk-jdk9 with GNU General Public License v2.0 5 votes vote down vote up 
private static double meetBounds(double a, double b, DoubleBinaryOperator op) {
    if (Double.isNaN(a)) {
        return b;
    } else if (Double.isNaN(b)) {
        return a;
    } else {
        return op.applyAsDouble(a, b);
    }
}