[commons-math] 04/11: Update sampling test

[aherbert]

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aherbert pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-math.git

commit 45e48f9d97d173a66e4d6e0b0c7bd5b641f5deb1
Author: aherbert <aherb...@apache.org>
AuthorDate: Thu Oct 13 14:48:32 2022 +0100

    Update sampling test
    
    Use faster and more robust RNG. Add better error tolerance.
---
 .../distribution/EnumeratedIntegerDistributionTest.java      | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git 
a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/distribution/EnumeratedIntegerDistributionTest.java
 
b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/distribution/EnumeratedIntegerDistributionTest.java
index b3d948a9f..f2b5075d5 100644
--- 
a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/distribution/EnumeratedIntegerDistributionTest.java
+++ 
b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/distribution/EnumeratedIntegerDistributionTest.java
@@ -148,8 +148,8 @@ public class EnumeratedIntegerDistributionTest {
     @Test
     public void testSample() {
         final int n = 1000000;
-        final DiscreteDistribution.Sampler sampler
-            = 
testDistribution.createSampler(RandomSource.WELL_19937_C.create());
+        final DiscreteDistribution.Sampler sampler =
+            
testDistribution.createSampler(RandomSource.XO_RO_SHI_RO_128_PP.create());
         final int[] samples = AbstractIntegerDistribution.sample(n, sampler);
         Assert.assertEquals(n, samples.length);
         double sum = 0;
@@ -158,10 +158,10 @@ public class EnumeratedIntegerDistributionTest {
             sum += samples[i];
             sumOfSquares += samples[i] * samples[i];
         }
-        Assert.assertEquals(testDistribution.getMean(),
-                            sum / n, 1e-2);
-        Assert.assertEquals(testDistribution.getVariance(),
-                            sumOfSquares / n - JdkMath.pow(sum / n, 2), 1e-2);
+        final double mean = testDistribution.getMean();
+        Assert.assertEquals("Mean", mean, sum / n, mean * 1e-2);
+        final double var = testDistribution.getVariance();
+        Assert.assertEquals("Variance", var, sumOfSquares / n - 
JdkMath.pow(sum / n, 2), var * 1e-2);
     }
 
     @Test