Examples of org.apache.commons.math3.random.MersenneTwister.nextInt()

Class org.apache.commons.math3.random.MersenneTwister

Examples of org.apache.commons.math3.random.MersenneTwister.nextInt()

org.apache.commons.math3.random.MersenneTwister.nextInt()
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence. All 2³² possible {@code int} valuesshould be produced with (approximately) equal probability. @return the next pseudorandom, uniformly distributed intvalue from this random number generator's sequence


  @Test
  public void testRandomState() {
    // Really, a test that the random generator state is reset in tests
    RandomGenerator generator = RandomManager.getRandom();
    assertEquals(1553355631, generator.nextInt());
    assertNotEquals(1553355631, generator.nextInt());
  }


}

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  @Test
  public void testRandomState() {
    // Really, a test that the random generator state is reset in tests
    RandomGenerator generator = RandomManager.getRandom();
    assertEquals(1553355631, generator.nextInt());
    assertNotEquals(1553355631, generator.nextInt());
  }


}

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    @Test
    public void testFloorDivModInt() {
        RandomGenerator generator = new Well1024a(0x7ccab45edeaab90al);
        for (int i = 0; i < 10000; ++i) {
            int a = generator.nextInt();
            int b = generator.nextInt();
            if (b == 0) {
                try {
                    FastMath.floorDiv(a, b);
                    Assert.fail("an exception should have been thrown");

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    @Test
    public void testFloorDivModInt() {
        RandomGenerator generator = new Well1024a(0x7ccab45edeaab90al);
        for (int i = 0; i < 10000; ++i) {
            int a = generator.nextInt();
            int b = generator.nextInt();
            if (b == 0) {
                try {
                    FastMath.floorDiv(a, b);
                    Assert.fail("an exception should have been thrown");
                } catch (MathArithmeticException mae) {

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            // define the reference sphere we want to compute
            double d = 25 * random.nextDouble();
            double refRadius = 10 * random.nextDouble();
            Vector3D refCenter = new Vector3D(d, new Vector3D(sr.nextVector()));
            // set up a large sample inside the reference sphere
            int nbPoints = random.nextInt(1000);
            List<Vector3D> points = new ArrayList<Vector3D>();
            for (int i = 0; i < nbPoints; ++i) {
                double r = refRadius * random.nextDouble();
                points.add(new Vector3D(1.0, refCenter, r, new Vector3D(sr.nextVector())));
            }

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    @Test
    public void testLargeSamples() {
        RandomGenerator random = new Well1024a(0xa2a63cad12c01fb2l);
        for (int k = 0; k < 100; ++k) {
            int nbPoints = random.nextInt(10000);
            List<Vector2D> points = new ArrayList<Vector2D>();
            for (int i = 0; i < nbPoints; ++i) {
                double x = random.nextDouble();
                double y = random.nextDouble();
                points.add(new Vector2D(x, y));

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            }


            /** {@inheritDoc} */
            public double[] next() {
                ++n;
                return points[rng.nextInt(points.length)].toArray();
            }


            /** {@inheritDoc} */
            public void remove() {
                throw new MathUnsupportedOperationException();

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