Examples of java.util.Random

java.util.Random
An instance of this class is used to generate a stream of pseudorandom numbers. The class uses a 48-bit seed, which is modified using a linear congruential formula. (See Donald Knuth, The Art of Computer Programming, Volume 3, Section 3.2.1.)
If two instances of {@code Random} are created with the sameseed, and the same sequence of method calls is made for each, they will generate and return identical sequences of numbers. In order to guarantee this property, particular algorithms are specified for the class {@code Random}. Java implementations must use all the algorithms shown here for the class {@code Random}, for the sake of absolute portability of Java code. However, subclasses of class {@code Random}are permitted to use other algorithms, so long as they adhere to the general contracts for all the methods.
The algorithms implemented by class {@code Random} use a{@code protected} utility method that on each invocation can supplyup to 32 pseudorandomly generated bits.
Many applications will find the method {@link Math#random} simpler to use. @author Frank Yellin @version 1.47, 02/07/06 @since 1.0


    private static void runBenchmarkWithZipfDistributionSync(Status stat, FixedSegments pager, ConcurrentPluggableCache<Long, byte[]> cache, int capacity, int round, double percent, int scanLength, long[] dist) {
        boolean scanning = false;
        long scanCount = 0L;


        final Random rand = new Random();


        int scanned = 0, zipf = 0;
        long base = 0L;


        long mills1 = System.currentTimeMillis();
        long ops = 0L;
        long miss = 0L;


        final int limit = round - 1;
        for(int nth = 0, i = 0; !_stop; nth = (nth >= limit) ? 0 : nth + 1, i++) {
            final long key;
            if(scanning || scanLength != 0 && (i == scanLength && rand.nextDouble() < percent)) {
                if(++scanCount <= scanLength) {
                    if(!scanning) {
                        base = dist[nth];
                    }
                    key = base + scanCount;

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    private static void runBenchmarkWithZipfDistributionLongHashLock(Status stat, ILock lock, FixedSegments pager, LongHash<byte[]> hash, int capacity, int round, double percent, int scanLength, long[] dist) {
        boolean scanning = false;
        long scanCount = 0L;


        final Random rand = new Random();


        int scanned = 0, zipf = 0;
        long base = 0L;


        long mills1 = System.currentTimeMillis();
        long ops = 0L;
        long miss = 0L;


        final int limit = round - 1;
        for(int nth = 0, i = 0; !_stop; nth = (nth >= limit) ? 0 : nth + 1, i++) {
            final long key;
            if(scanning || scanLength != 0 && (i == scanLength && rand.nextDouble() < percent)) {
                if(++scanCount <= scanLength) {
                    if(!scanning) {
                        base = dist[nth];
                    }
                    key = base + scanCount;

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    private static void runBenchmarkWithZipfDistributionLongHashSync(Status stat, FixedSegments pager, LongHash<byte[]> hash, int capacity, int round, double percent, int scanLength, long[] dist) {
        boolean scanning = false;
        long scanCount = 0L;


        final Random rand = new Random();


        int scanned = 0, zipf = 0;
        long base = 0L;


        long mills1 = System.currentTimeMillis();
        long ops = 0L;
        long miss = 0L;


        final int limit = round - 1;
        for(int nth = 0, i = 0; !_stop; nth = (nth >= limit) ? 0 : nth + 1, i++) {
            final long key;
            if(scanning || scanLength != 0 && (i == scanLength && rand.nextDouble() < percent)) {
                if(++scanCount <= scanLength) {
                    if(!scanning) {
                        base = dist[nth];
                    }
                    key = base + scanCount;

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    }


    public void testRand1000() throws IOException {
        FastMultiByteArrayOutputStream out = new FastMultiByteArrayOutputStream(4096);
        DataOutputStream data = new DataOutputStream(out);
        Random rand = new Random(22222);
        for(int times = 0; times < 3; times++) {
            for(int i = 0; i < 1000; i++) {
                data.writeInt(rand.nextInt());
            }
            probe(out.toByteArray_clear());
        }
    }

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    }


    public void testRand10000() throws IOException {
        FastMultiByteArrayOutputStream out = new FastMultiByteArrayOutputStream(4096);
        DataOutputStream data = new DataOutputStream(out);
        Random rand = new Random(44444);
        for(int times = 0; times < 3; times++) {
            for(int i = 0; i < 10000; i++) {
                data.writeInt(rand.nextInt());
            }
            probe(out.toByteArray_clear());
        }
    }

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    }


    public void testRandGaussian10000() throws IOException {
        FastMultiByteArrayOutputStream out = new FastMultiByteArrayOutputStream(4096);
        DataOutputStream data = new DataOutputStream(out);
        Random rand = new Random(3333);
        for(int times = 0; times < 3; times++) {
            for(int i = 0; i < 10000; i++) {
                data.writeDouble(rand.nextGaussian());
            }
            probe(out.toByteArray_clear());
        }
    }

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    }


    public void testRand1000() throws IOException {
        FastMultiByteArrayOutputStream out = new FastMultiByteArrayOutputStream(4096);
        DataOutputStream data = new DataOutputStream(out);
        Random rand = new Random(22222);
        for(int times = 0; times < 3; times++) {
            for(int i = 0; i < 1000; i++) {
                data.writeInt(rand.nextInt());
            }
            probe(out.toByteArray_clear());
        }
    }

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    }


    public void testRandChars2000() throws IOException {
        FastMultiByteArrayOutputStream out = new FastMultiByteArrayOutputStream(4096);
        DataOutputStream data = new DataOutputStream(out);
        Random rand = new Random(22222);
        for(int times = 0; times < 10; times++) {
            for(int i = 0; i < 2048; i++) {
                data.writeChar(rand.nextInt());
            }
            probe(out.toByteArray_clear());
        }
    }

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    }


    public void testRandChars8K() throws IOException {
        FastMultiByteArrayOutputStream out = new FastMultiByteArrayOutputStream(4096);
        DataOutputStream data = new DataOutputStream(out);
        Random rand = new Random(22222);
        for(int times = 0; times < 10; times++) {
            for(int i = 0; i < 4096; i++) {
                data.writeChar(rand.nextInt());
            }
            probe(out.toByteArray_clear());
        }
    }

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    private static void runBenchmarkWithZipfDistributionLock(int thrdnum, Status stat, ILock lock, Segments pager, ConcurrentPluggableCache<Long, byte[]> cache, int capacity, int round, double percent, int scanLength, long[] dist) {
        boolean scanning = false;
        long scanCount = 0L;


        final Random rand = new Random(129);


        int scanned = 0, zipf = 0;
        long base = 0L;


        long mills1 = System.currentTimeMillis();
        long ops = 0L;
        long miss = 0L;
        int iocontention = 0;


        final int start = thrdnum * round;
        final int limit = start + round - 1;
        for(int nth = start, i = 0; !_stop; nth = (nth < limit) ? nth + 1 : start, i++) {
            final long key;
            if(scanning || scanLength != 0 && (i == scanLength && rand.nextDouble() < percent)) {
                if(++scanCount <= scanLength) {
                    if(!scanning) {
                        base = dist[nth];
                    }
                    key = base + scanCount;

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