Examples with Well1024a org.apache.commons.math3.random.Well1024a used on opensource projects

Example 16 with Well1024a

use of org.apache.commons.math3.random.Well1024a in project mixcr by milaboratory.

the class ClonalSequenceTest method testIsCompatible5.

@Test
public void testIsCompatible5() throws Exception {
    RandomGenerator random = new Well1024a();
    ClonalSequence c1 = create("AAAAAAAAAA", "AAAAAAAAAAAAAA");
    ClonalSequence c2 = create("AAAAA", "AAAAAAA");
    testCompatiblePair(c1, c2, random);
    testCompatiblePair(c2, c1, random);
// c2 = create("AAAAA", "AAAAAAAAAAAAAAAAAAAAAAAAAA");
// testCompatiblePair(c1, c2, random);
// testCompatiblePair(c2, c1, random);
// c2 = create("AAAAAAAAAAAAAAAAAAAAAAAAAA", "AAAAA");
// testCompatiblePair(c1, c2, random);
// testCompatiblePair(c2, c1, random);
}

Example 17 with Well1024a

use of org.apache.commons.math3.random.Well1024a in project mixcr by milaboratory.

the class ClonalSequenceTest method testIsCompatible2.

@Test
public void testIsCompatible2() throws Exception {
    RandomGenerator generator = new Well1024a();
    Mutations<NucleotideSequence> muts = Mutations.decode("", NucleotideSequence.ALPHABET);
    for (int i = 0; i < 100; i++) {
        ClonalSequence c1 = createRandom(5 + generator.nextInt(10), generator);
        Assert.assertTrue(c1.isCompatible(c1, muts));
    }
}

Example 18 with Well1024a

use of org.apache.commons.math3.random.Well1024a in project tetrad by cmu-phil.

the class LargeScaleSimulation method getUncorrelatedGaussianShocks.

public double[][] getUncorrelatedGaussianShocks(int sampleSize) {
    NormalDistribution normal = new NormalDistribution(new Well1024a(++seed), 0, 1);
    int numVars = variableNodes.size();
    setupModel(numVars);
    double[][] shocks = new double[sampleSize][numVars];
    for (int i = 0; i < sampleSize; i++) {
        for (int j = 0; j < numVars; j++) {
            shocks[i][j] = normal.sample() * sqrt(errorVars[j]);
        }
    }
    return shocks;
}