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


        ResizableDoubleArray eDA3 = new ResizableDoubleArray(3, 3.0f, 3.5f);
        Assert.assertEquals("Initial number of elements should be 0", 0, eDA3.getNumElements() );


        RandomData randomData = new RandomDataImpl();
        int iterations = randomData.nextInt(100, 3000);


        for( int i = 0; i < iterations; i++) {
            eDA3.addElement( i );
        }

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     *
     * @return array of random double values
     */
    private double[] generateSample() {
        final RandomData randomData = new RandomDataImpl();
        final int sampleSize = randomData.nextInt(10,100);
        double[] out = new double[sampleSize];
        for (int i = 0; i < out.length; i++) {
            out[i] = randomData.nextUniform(-100, 100);
        }
        return out;

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        int sampleCount = 0;
        for (int i = 0; i < 5; i++) {
            if (cur == length || offset == length) {
                break;
            }
            final int next = (i == 4 || cur == length - 1) ? length - 1 : randomData.nextInt(cur, length - 1);
            final int subLength = next - cur + 1;
            out[i] = new double[subLength];
            System.arraycopy(sample, offset, out[i], 0, subLength);
            cur = next + 1;
            sampleCount++;

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        RandomData randomData = new RandomDataImpl();


        // Fill weights array with random int values between 1 and 5
        int[] intWeights = new int[len];
        for (int i = 0; i < len; i++) {
            intWeights[i] = randomData.nextInt(1, 5);
            weights[i] = intWeights[i];
        }


        // Fill values array with random data from N(mu, sigma)
        // and fill valuesList with values from values array with

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        ResizableDoubleArray eDA2 = new ResizableDoubleArray(2);
        Assert.assertEquals("Initial number of elements should be 0", 0, eDA2.getNumElements());


        RandomData randomData = new RandomDataImpl();
        int iterations = randomData.nextInt(100, 1000);


        for( int i = 0; i < iterations; i++) {
            eDA2.addElement( i );
        }

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        ResizableDoubleArray eDA3 = new ResizableDoubleArray(3, 3.0f, 3.5f);
        Assert.assertEquals("Initial number of elements should be 0", 0, eDA3.getNumElements() );


        RandomData randomData = new RandomDataImpl();
        int iterations = randomData.nextInt(100, 3000);


        for( int i = 0; i < iterations; i++) {
            eDA3.addElement( i );
        }

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     *
     * @return array of random double values
     */
    private double[] generateSample() {
        final RandomData randomData = new RandomDataImpl();
        final int sampleSize = randomData.nextInt(10,100);
        double[] out = new double[sampleSize];
        for (int i = 0; i < out.length; i++) {
            out[i] = randomData.nextUniform(-100, 100);
        }
        return out;

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        int sampleCount = 0;
        for (int i = 0; i < 5; i++) {
            if (cur == length || offset == length) {
                break;
            }
            final int next = (i == 4 || cur == length - 1) ? length - 1 : randomData.nextInt(cur, length - 1);
            final int subLength = next - cur + 1;
            out[i] = new double[subLength];
            System.arraycopy(sample, offset, out[i], 0, subLength);
            cur = next + 1;
            sampleCount++;

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        RandomData randomData = new RandomDataImpl();


        // Fill weights array with random int values between 1 and 5
        int[] intWeights = new int[len];
        for (int i = 0; i < len; i++) {
            intWeights[i] = randomData.nextInt(1, 5);
            weights[i] = intWeights[i];
        }


        // Fill values array with random data from N(mu, sigma)
        // and fill valuesList with values from values array with

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    Timer timer = new Timer();
    timer.start();
    for(long i=0; i<130000000; ++i){
//      rng.nextPermutation(16, 8);
//      rng.nextGaussian(0, 1);
      rng.nextInt(0, 65779);
    }
    timer.stop();
    timer.printSeconds("generating random numbers");
  }
}

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