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MATH-1335 

Use new RNG API.
This commit is contained in:
Gilles 2016-05-12 15:50:26 +02:00
parent 521b9b3385
commit d7a1666f9a
1 changed files with 3 additions and 3 deletions
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6
src/test/java/org/apache/commons/math4/stat/correlation/KendallsCorrelationTest.java
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@ -21,8 +21,8 @@ import java.util.Arrays;
import org.apache.commons.math4.TestUtils;
import org.apache.commons.math4.linear.BlockRealMatrix;
import org.apache.commons.math4.linear.RealMatrix;
import org.apache.commons.math4.random.RandomGenerator;
import org.apache.commons.math4.random.Well1024a;
import org.apache.commons.math4.rng.UniformRandomProvider;
import org.apache.commons.math4.rng.RandomSource;
import org.apache.commons.math4.stat.correlation.KendallsCorrelation;
import org.junit.Assert;
import org.junit.Before;
@ -266,7 +266,7 @@ public class KendallsCorrelationTest extends PearsonsCorrelationTest {
public void testMath1277() {
// example that led to a correlation coefficient outside of [-1, 1]
// due to a bug reported in MATH-1277
RandomGenerator rng = new Well1024a(0);
UniformRandomProvider rng = RandomSource.create(RandomSource.WELL_1024_A, 0);
double[] xArray = new double[120000];
double[] yArray = new double[120000];
for (int i = 0; i < xArray.length; ++i) {