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MATH-1335 

Use new RNG API.
This commit is contained in:
Gilles 2016-05-11 16:43:13 +02:00
parent d707364257
commit 7331773448
2 changed files with 10 additions and 6 deletions
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7
src/test/java/org/apache/commons/math4/analysis/differentiation/DerivativeStructureTest.java
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@ -26,7 +26,8 @@ import org.apache.commons.math4.analysis.differentiation.DerivativeStructure;
import org.apache.commons.math4.analysis.polynomials.PolynomialFunction;
import org.apache.commons.math4.exception.DimensionMismatchException;
import org.apache.commons.math4.exception.NumberIsTooLargeException;
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.util.ArithmeticUtils;
import org.apache.commons.math4.util.CombinatoricsUtils;
import org.apache.commons.math4.util.FastMath;
@ -1447,7 +1448,7 @@ public class DerivativeStructureTest extends ExtendedFieldElementAbstractTest<De
public void testLinearCombination2DSDS() {
// we compare accurate versus naive dot product implementations
// on regular vectors (i.e. not extreme cases like in the previous test)
Well1024a random = new Well1024a(0xc6af886975069f11l);
UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A, 0xc6af886975069f11l);
for (int i = 0; i < 10000; ++i) {
final DerivativeStructure[] u = new DerivativeStructure[4];
@ -1491,7 +1492,7 @@ public class DerivativeStructureTest extends ExtendedFieldElementAbstractTest<De
public void testLinearCombination2DoubleDS() {
// we compare accurate versus naive dot product implementations
// on regular vectors (i.e. not extreme cases like in the previous test)
Well1024a random = new Well1024a(0xc6af886975069f11l);
UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A, 0xc6af886975069f11l);
for (int i = 0; i < 10000; ++i) {
final double[] u = new double[4];

9
src/test/java/org/apache/commons/math4/analysis/differentiation/SparseGradientTest.java
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@ -22,7 +22,8 @@ import java.util.List;
import org.apache.commons.math4.ExtendedFieldElementAbstractTest;
import org.apache.commons.math4.TestUtils;
import org.apache.commons.math4.analysis.polynomials.PolynomialFunction;
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.util.FastMath;
import org.junit.Assert;
import org.junit.Test;
@ -1022,7 +1023,8 @@ public class SparseGradientTest extends ExtendedFieldElementAbstractTest<SparseG
public void testLinearCombination2DSDS() {
// we compare accurate versus naive dot product implementations
// on regular vectors (i.e. not extreme cases like in the previous test)
Well1024a random = new Well1024a(0xc6af886975069f11l);
UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A,
0xc6af886975069f11l);
for (int i = 0; i < 10000; ++i) {
final SparseGradient[] u = new SparseGradient[4];
@ -1066,7 +1068,8 @@ public class SparseGradientTest extends ExtendedFieldElementAbstractTest<SparseG
public void testLinearCombination2DoubleDS() {
// we compare accurate versus naive dot product implementations
// on regular vectors (i.e. not extreme cases like in the previous test)
Well1024a random = new Well1024a(0xc6af886975069f11l);
UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A,
0xc6af886975069f11l);
for (int i = 0; i < 10000; ++i) {
final double[] u = new double[4];