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Use "Commons RNG" (unit tests).

This commit is contained in:
Gilles Sadowski 2021-06-05 03:41:14 +02:00
parent ac25b3b9f3
commit 7b9edac695
1 changed files with 3 additions and 3 deletions
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6
commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/OptimTestUtils.java
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@ -17,9 +17,9 @@
package org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv;
import java.util.Arrays;
import java.util.Random;
import org.apache.commons.rng.UniformRandomProvider;
import org.apache.commons.rng.simple.RandomSource;
import org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler;
import org.apache.commons.math4.legacy.analysis.MultivariateFunction;
import org.apache.commons.math4.legacy.core.jdkmath.AccurateMath;
@ -346,7 +346,7 @@ class OptimTestUtils {
private static class Basis {
double[][] basis;
final Random rand = new Random(2); // use not always the same basis
final MarsagliaNormalizedGaussianSampler rand = MarsagliaNormalizedGaussianSampler.of(rng()); // use not always the same basis
double[] Rotate(double[] x) {
GenBasis(x.length);
@ -373,7 +373,7 @@ class OptimTestUtils {
for (i = 0; i < DIM; ++i) {
/* sample components gaussian */
for (j = 0; j < DIM; ++j) {
basis[i][j] = rand.nextGaussian();
basis[i][j] = rand.sample();
}
/* substract projection of previous vectors */
for (j = i - 1; j >= 0; --j) {