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MATH-1335 

Use new RNG API.
This commit is contained in:
Gilles 2016-05-11 16:15:29 +02:00
parent ed78ce27aa
commit d707364257
1 changed files with 8 additions and 5 deletions
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13
src/test/java/org/apache/commons/math4/analysis/function/LogitTest.java
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@ -26,8 +26,8 @@ import org.apache.commons.math4.analysis.function.Sigmoid;
import org.apache.commons.math4.exception.DimensionMismatchException;
import org.apache.commons.math4.exception.NullArgumentException;
import org.apache.commons.math4.exception.OutOfRangeException;
import org.apache.commons.math4.random.RandomGenerator;
import org.apache.commons.math4.random.Well1024a;
import org.apache.commons.math4.rng.RandomSource;
import org.apache.commons.math4.rng.UniformRandomProvider;
import org.apache.commons.math4.util.FastMath;
import org.junit.Assert;
import org.junit.Test;
@ -160,7 +160,8 @@ public class LogitTest {
final double hi = 3;
final Logit f = new Logit(lo, hi);
final Sigmoid g = new Sigmoid(lo, hi);
RandomGenerator random = new Well1024a(0x49914cdd9f0b8db5l);
final UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A,
0x49914cdd9f0b8db5l);
final UnivariateDifferentiableFunction id = FunctionUtils.compose((UnivariateDifferentiableFunction) g,
(UnivariateDifferentiableFunction) f);
@ -180,7 +181,8 @@ public class LogitTest {
final double hi = 3;
final Logit f = new Logit(lo, hi);
final Sigmoid g = new Sigmoid(lo, hi);
RandomGenerator random = new Well1024a(0x96885e9c1f81cea5l);
final UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A,
0x96885e9c1f81cea6l);
final UnivariateDifferentiableFunction id =
FunctionUtils.compose((UnivariateDifferentiableFunction) g, (UnivariateDifferentiableFunction) f);
for (int maxOrder = 0; maxOrder < 6; ++maxOrder) {
@ -190,7 +192,8 @@ public class LogitTest {
final DerivativeStructure dsX = new DerivativeStructure(1, maxOrder, 0, x);
max = FastMath.max(max, FastMath.abs(dsX.getPartialDerivative(maxOrder) -
id.value(dsX).getPartialDerivative(maxOrder)));
Assert.assertEquals(dsX.getPartialDerivative(maxOrder),
Assert.assertEquals("maxOrder = " + maxOrder,
dsX.getPartialDerivative(maxOrder),
id.value(dsX).getPartialDerivative(maxOrder),
epsilon[maxOrder]);
}