This is an automated email from the ASF dual-hosted git repository.
aherbert pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-rng.git
commit 634ec038748f7b2fa064d8586200bbad4cdda58c
Author: Alex Herbert <aherb...@apache.org>
AuthorDate: Sun Feb 17 22:05:56 2019 +0000
RNG-71: Validate parameters for the distribution samplers
This adds checks matching those found in the commons-math3 distributions
to the samplers. The existing validation checks in the PoissonSampler
have had their exception messages changed for consistency. A test for
the ContinuousUniformSampler was added to demonstrate no range checks
are required.
---
.../AhrensDieterExponentialSampler.java | 4 ++
.../AhrensDieterMarsagliaTsangGammaSampler.java | 10 +++++
.../distribution/BoxMullerGaussianSampler.java | 5 +++
.../distribution/BoxMullerLogNormalSampler.java | 1 +
.../sampling/distribution/ChengBetaSampler.java | 7 +++
.../rng/sampling/distribution/GaussianSampler.java | 5 +++
.../InverseTransformParetoSampler.java | 7 +++
.../distribution/LargeMeanPoissonSampler.java | 4 +-
.../sampling/distribution/LogNormalSampler.java | 7 +++
.../distribution/SmallMeanPoissonSampler.java | 7 +--
...ava => AhrensDieterExponentialSamplerTest.java} | 23 +++-------
...hrensDieterMarsagliaTsangGammaSamplerTest.java} | 26 ++++++-----
...Test.java => BoxMullerGaussianSamplerTest.java} | 28 ++++--------
...est.java => BoxMullerLogNormalSamplerTest.java} | 26 ++++++-----
...nSamplerTest.java => ChengBetaSamplerTest.java} | 26 ++++++-----
.../distribution/ContinuousUniformSamplerTest.java | 51 ++++++++++++++++++++++
...erTest.java => DiscreteUniformSamplerTest.java} | 34 +++++----------
...onSamplerTest.java => GaussianSamplerTest.java} | 29 ++++--------
.../distribution/GeometricSamplerTest.java | 17 ++++----
...java => InverseTransformParetoSamplerTest.java} | 26 ++++++-----
.../distribution/LargeMeanPoissonSamplerTest.java | 10 +++--
...nSamplerTest.java => LogNormalSamplerTest.java} | 28 +++++++-----
...java => RejectionInversionZipfSamplerTest.java} | 26 ++++++-----
.../distribution/SmallMeanPoissonSamplerTest.java | 12 +++--
24 files changed, 241 insertions(+), 178 deletions(-)
diff --git
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSampler.java
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSampler.java
index 7927d35..56e57b4 100644
---
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSampler.java
+++
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSampler.java
@@ -64,10 +64,14 @@ public class AhrensDieterExponentialSampler
/**
* @param rng Generator of uniformly distributed random numbers.
* @param mean Mean of this distribution.
+ * @throws IllegalArgumentException if {@code mean <= 0}
*/
public AhrensDieterExponentialSampler(UniformRandomProvider rng,
double mean) {
super(null);
+ if (mean <= 0) {
+ throw new IllegalArgumentException("mean is not strictly positive:
" + mean);
+ }
this.rng = rng;
this.mean = mean;
}
diff --git
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.java
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.java
index 42a50e4..946475b 100644
---
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.java
+++
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.java
@@ -64,10 +64,17 @@ public class AhrensDieterMarsagliaTsangGammaSampler
* @param rng Generator of uniformly distributed random numbers.
* @param alpha Alpha shape parameter of the distribution.
* @param theta Theta scale parameter of the distribution.
+ * @throws IllegalArgumentException if {@code alpha <= 0} or {@code
theta <= 0}
*/
BaseAhrensDieterMarsagliaTsangGammaSampler(UniformRandomProvider rng,
double alpha,
double theta) {
+ if (alpha <= 0) {
+ throw new IllegalArgumentException("alpha is not strictly
positive: " + alpha);
+ }
+ if (theta <= 0) {
+ throw new IllegalArgumentException("theta is not strictly
positive: " + theta);
+ }
this.rng = rng;
this.alpha = alpha;
this.theta = theta;
@@ -95,6 +102,7 @@ public class AhrensDieterMarsagliaTsangGammaSampler
* @param rng Generator of uniformly distributed random numbers.
* @param alpha Alpha shape parameter of the distribution.
* @param theta Theta scale parameter of the distribution.
+ * @throws IllegalArgumentException if {@code alpha <= 0} or {@code
theta <= 0}
*/
SmallThetaAhrensDieterMarsagliaTsangGammaSampler(UniformRandomProvider
rng,
double alpha,
@@ -158,6 +166,7 @@ public class AhrensDieterMarsagliaTsangGammaSampler
* @param rng Generator of uniformly distributed random numbers.
* @param alpha Alpha shape parameter of the distribution.
* @param theta Theta scale parameter of the distribution.
+ * @throws IllegalArgumentException if {@code alpha <= 0} or {@code
theta <= 0}
*/
LargeThetaAhrensDieterMarsagliaTsangGammaSampler(UniformRandomProvider
rng,
double alpha,
@@ -198,6 +207,7 @@ public class AhrensDieterMarsagliaTsangGammaSampler
* @param rng Generator of uniformly distributed random numbers.
* @param alpha Alpha shape parameter of the distribution.
* @param theta Theta scale parameter of the distribution.
+ * @throws IllegalArgumentException if {@code alpha <= 0} or {@code theta
<= 0}
*/
public AhrensDieterMarsagliaTsangGammaSampler(UniformRandomProvider rng,
double alpha,
diff --git
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSampler.java
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSampler.java
index e9ba45e..c04f09a 100644
---
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSampler.java
+++
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSampler.java
@@ -44,11 +44,16 @@ public class BoxMullerGaussianSampler
* @param rng Generator of uniformly distributed random numbers.
* @param mean Mean of the Gaussian distribution.
* @param standardDeviation Standard deviation of the Gaussian
distribution.
+ * @throws IllegalArgumentException if {@code standardDeviation <= 0}
*/
public BoxMullerGaussianSampler(UniformRandomProvider rng,
double mean,
double standardDeviation) {
super(null);
+ if (standardDeviation <= 0) {
+ throw new IllegalArgumentException("standard deviation is not
strictly positive: " +
+ standardDeviation);
+ }
this.rng = rng;
this.mean = mean;
this.standardDeviation = standardDeviation;
diff --git
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.java
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.java
index c9ab89c..fba683e 100644
---
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.java
+++
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.java
@@ -38,6 +38,7 @@ public class BoxMullerLogNormalSampler
* @param rng Generator of uniformly distributed random numbers.
* @param scale Scale of the log-normal distribution.
* @param shape Shape of the log-normal distribution.
+ * @throws IllegalArgumentException if {@code scale < 0} or {@code shape
<= 0}.
*/
public BoxMullerLogNormalSampler(UniformRandomProvider rng,
double scale,
diff --git
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/ChengBetaSampler.java
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/ChengBetaSampler.java
index ccee2c5..8ed0e3e 100644
---
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/ChengBetaSampler.java
+++
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/ChengBetaSampler.java
@@ -47,11 +47,18 @@ public class ChengBetaSampler
* @param rng Generator of uniformly distributed random numbers.
* @param alpha Distribution first shape parameter.
* @param beta Distribution second shape parameter.
+ * @throws IllegalArgumentException if {@code alpha <= 0} or {@code beta
<= 0}
*/
public ChengBetaSampler(UniformRandomProvider rng,
double alpha,
double beta) {
super(null);
+ if (alpha <= 0) {
+ throw new IllegalArgumentException("alpha is not strictly
positive: " + alpha);
+ }
+ if (beta <= 0) {
+ throw new IllegalArgumentException("beta is not strictly positive:
" + beta);
+ }
this.rng = rng;
alphaShape = alpha;
betaShape = beta;
diff --git
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/GaussianSampler.java
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/GaussianSampler.java
index 47fe5f8..9c99742 100644
---
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/GaussianSampler.java
+++
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/GaussianSampler.java
@@ -34,10 +34,15 @@ public class GaussianSampler implements ContinuousSampler {
* @param normalized Generator of N(0,1) Gaussian distributed random
numbers.
* @param mean Mean of the Gaussian distribution.
* @param standardDeviation Standard deviation of the Gaussian
distribution.
+ * @throws IllegalArgumentException if {@code standardDeviation <= 0}
*/
public GaussianSampler(NormalizedGaussianSampler normalized,
double mean,
double standardDeviation) {
+ if (standardDeviation <= 0) {
+ throw new IllegalArgumentException(
+ "standard deviation is not strictly positive: " +
standardDeviation);
+ }
this.normalized = normalized;
this.mean = mean;
this.standardDeviation = standardDeviation;
diff --git
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformParetoSampler.java
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformParetoSampler.java
index 58053ef..3b59483 100644
---
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformParetoSampler.java
+++
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformParetoSampler.java
@@ -37,11 +37,18 @@ public class InverseTransformParetoSampler
* @param rng Generator of uniformly distributed random numbers.
* @param scale Scale of the distribution.
* @param shape Shape of the distribution.
+ * @throws IllegalArgumentException if {@code scale <= 0} or {@code shape
<= 0}
*/
public InverseTransformParetoSampler(UniformRandomProvider rng,
double scale,
double shape) {
super(null);
+ if (scale <= 0) {
+ throw new IllegalArgumentException("scale is not strictly
positive: " + scale);
+ }
+ if (shape <= 0) {
+ throw new IllegalArgumentException("shape is not strictly
positive: " + shape);
+ }
this.rng = rng;
this.scale = scale;
this.shape = shape;
diff --git
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/LargeMeanPoissonSampler.java
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/LargeMeanPoissonSampler.java
index 33675d8..47ecab7 100644
---
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/LargeMeanPoissonSampler.java
+++
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/LargeMeanPoissonSampler.java
@@ -104,11 +104,11 @@ public class LargeMeanPoissonSampler
public LargeMeanPoissonSampler(UniformRandomProvider rng,
double mean) {
if (mean <= 0) {
- throw new IllegalArgumentException(mean + " <= " + 0);
+ throw new IllegalArgumentException("mean is not strictly positive:
" + mean);
}
// The algorithm is not valid if Math.floor(mean) is not an integer.
if (mean > MAX_MEAN) {
- throw new IllegalArgumentException(mean + " > " + MAX_MEAN);
+ throw new IllegalArgumentException("mean " + mean + " > " +
MAX_MEAN);
}
this.rng = rng;
diff --git
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/LogNormalSampler.java
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/LogNormalSampler.java
index 07d3b30..258f2f5 100644
---
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/LogNormalSampler.java
+++
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/LogNormalSampler.java
@@ -33,10 +33,17 @@ public class LogNormalSampler implements ContinuousSampler {
* @param gaussian N(0,1) generator.
* @param scale Scale of the log-normal distribution.
* @param shape Shape of the log-normal distribution.
+ * @throws IllegalArgumentException if {@code scale < 0} or {@code shape
<= 0}.
*/
public LogNormalSampler(NormalizedGaussianSampler gaussian,
double scale,
double shape) {
+ if (scale < 0) {
+ throw new IllegalArgumentException("scale is not positive: " +
scale);
+ }
+ if (shape <= 0) {
+ throw new IllegalArgumentException("shape is not strictly
positive: " + shape);
+ }
this.scale = scale;
this.shape = shape;
this.gaussian = gaussian;
diff --git
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSampler.java
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSampler.java
index 7290adb..15a0d69 100644
---
a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSampler.java
+++
b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSampler.java
@@ -51,16 +51,17 @@ public class SmallMeanPoissonSampler
/**
* @param rng Generator of uniformly distributed random numbers.
* @param mean Mean.
- * @throws IllegalArgumentException if {@code mean <= 0}.
+ * @throws IllegalArgumentException if {@code mean <= 0} or
+ * {@code mean > 0.5 *} {@link Integer#MAX_VALUE}.
*/
public SmallMeanPoissonSampler(UniformRandomProvider rng,
double mean) {
this.rng = rng;
if (mean <= 0) {
- throw new IllegalArgumentException(mean + " <= " + 0);
+ throw new IllegalArgumentException("mean is not strictly positive:
" + mean);
}
if (mean > MAX_MEAN) {
- throw new IllegalArgumentException(mean + " > " + MAX_MEAN);
+ throw new IllegalArgumentException("mean " + mean + " > " +
MAX_MEAN);
}
p0 = Math.exp(-mean);
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSamplerTest.java
similarity index 65%
copy from
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
copy to
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSamplerTest.java
index 0d8d5c7..54f1978 100644
---
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSamplerTest.java
@@ -21,24 +21,9 @@ import org.apache.commons.rng.simple.RandomSource;
import org.junit.Test;
/**
- * This test checks the {@link SmallMeanPoissonSampler} can be created
- * from a saved state.
+ * Test for the {@link AhrensDieterExponentialSampler}. The tests hit edge
cases for the sampler.
*/
-public class SmallMeanPoissonSamplerTest {
-
- // Edge cases for construction
-
- /**
- * Test the constructor with a bad mean.
- */
- @Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithMeanLargerThanUpperBound() {
- final RestorableUniformRandomProvider rng =
- RandomSource.create(RandomSource.SPLIT_MIX_64);
- @SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng,
Integer.MAX_VALUE / 2 + 1);
- }
-
+public class AhrensDieterExponentialSamplerTest {
/**
* Test the constructor with a bad mean.
*/
@@ -46,7 +31,9 @@ public class SmallMeanPoissonSamplerTest {
public void testConstructorThrowsWithZeroMean() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double mean = 0;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng, 0);
+ final AhrensDieterExponentialSampler sampler =
+ new AhrensDieterExponentialSampler(rng, mean);
}
}
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSamplerTest.java
similarity index 65%
copy from
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
copy to
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSamplerTest.java
index 0d8d5c7..c93a63d 100644
---
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSamplerTest.java
@@ -21,32 +21,34 @@ import org.apache.commons.rng.simple.RandomSource;
import org.junit.Test;
/**
- * This test checks the {@link SmallMeanPoissonSampler} can be created
- * from a saved state.
+ * Test for the {@link AhrensDieterMarsagliaTsangGammaSampler}. The tests hit
edge cases for the sampler.
*/
-public class SmallMeanPoissonSamplerTest {
-
- // Edge cases for construction
-
+public class AhrensDieterMarsagliaTsangGammaSamplerTest {
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad alpha.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithMeanLargerThanUpperBound() {
+ public void testConstructorThrowsWithZeroAlpha() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double alpha = 0;
+ final double theta = 1;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng,
Integer.MAX_VALUE / 2 + 1);
+ final AhrensDieterMarsagliaTsangGammaSampler sampler =
+ new AhrensDieterMarsagliaTsangGammaSampler(rng, alpha, theta);
}
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad theta.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithZeroMean() {
+ public void testConstructorThrowsWithZeroTheta() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double alpha = 1;
+ final double theta = 0;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng, 0);
+ final AhrensDieterMarsagliaTsangGammaSampler sampler =
+ new AhrensDieterMarsagliaTsangGammaSampler(rng, alpha, theta);
}
}
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSamplerTest.java
similarity index 60%
copy from
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
copy to
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSamplerTest.java
index 0d8d5c7..a53a2ce 100644
---
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/BoxMullerGaussianSamplerTest.java
@@ -21,32 +21,20 @@ import org.apache.commons.rng.simple.RandomSource;
import org.junit.Test;
/**
- * This test checks the {@link SmallMeanPoissonSampler} can be created
- * from a saved state.
+ * Test for the {@link BoxMullerGaussianSampler}. The tests hit edge cases for
the sampler.
*/
-public class SmallMeanPoissonSamplerTest {
-
- // Edge cases for construction
-
- /**
- * Test the constructor with a bad mean.
- */
- @Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithMeanLargerThanUpperBound() {
- final RestorableUniformRandomProvider rng =
- RandomSource.create(RandomSource.SPLIT_MIX_64);
- @SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng,
Integer.MAX_VALUE / 2 + 1);
- }
-
+public class BoxMullerGaussianSamplerTest {
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad standard deviation.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithZeroMean() {
+ public void testConstructorThrowsWithZeroStandardDeviation() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double mean = 1;
+ final double standardDeviation = 0;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng, 0);
+ final BoxMullerGaussianSampler sampler =
+ new BoxMullerGaussianSampler(rng, mean, standardDeviation);
}
}
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSamplerTest.java
similarity index 67%
copy from
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
copy to
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSamplerTest.java
index 0d8d5c7..bacadc0 100644
---
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSamplerTest.java
@@ -21,32 +21,34 @@ import org.apache.commons.rng.simple.RandomSource;
import org.junit.Test;
/**
- * This test checks the {@link SmallMeanPoissonSampler} can be created
- * from a saved state.
+ * Test for the {@link BoxMullerLogNormalSampler}. The tests hit edge cases
for the sampler.
*/
-public class SmallMeanPoissonSamplerTest {
-
- // Edge cases for construction
-
+public class BoxMullerLogNormalSamplerTest {
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad scale.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithMeanLargerThanUpperBound() {
+ public void testConstructorThrowsWithNegativeScale() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double scale = -1e-6;
+ final double shape = 1;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng,
Integer.MAX_VALUE / 2 + 1);
+ final BoxMullerLogNormalSampler sampler =
+ new BoxMullerLogNormalSampler(rng, scale, shape);
}
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad shape.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithZeroMean() {
+ public void testConstructorThrowsWithZeroShape() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double scale = 1;
+ final double shape = 0;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng, 0);
+ final BoxMullerLogNormalSampler sampler =
+ new BoxMullerLogNormalSampler(rng, scale, shape);
}
}
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/ChengBetaSamplerTest.java
similarity index 69%
copy from
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
copy to
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/ChengBetaSamplerTest.java
index 0d8d5c7..3bc4a38 100644
---
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/ChengBetaSamplerTest.java
@@ -21,32 +21,34 @@ import org.apache.commons.rng.simple.RandomSource;
import org.junit.Test;
/**
- * This test checks the {@link SmallMeanPoissonSampler} can be created
- * from a saved state.
+ * Test for the {@link ChengBetaSampler}. The tests hit edge cases for the
sampler.
*/
-public class SmallMeanPoissonSamplerTest {
-
- // Edge cases for construction
-
+public class ChengBetaSamplerTest {
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad alpha.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithMeanLargerThanUpperBound() {
+ public void testConstructorThrowsWithZeroAlpha() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double alpha = 0;
+ final double beta = 1;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng,
Integer.MAX_VALUE / 2 + 1);
+ final ChengBetaSampler sampler =
+ new ChengBetaSampler(rng, alpha, beta);
}
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad beta.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithZeroMean() {
+ public void testConstructorThrowsWithZeroBeta() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double alpha = 1;
+ final double beta = 0;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng, 0);
+ final ChengBetaSampler sampler =
+ new ChengBetaSampler(rng, alpha, beta);
}
}
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/ContinuousUniformSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/ContinuousUniformSamplerTest.java
new file mode 100644
index 0000000..91aac68
--- /dev/null
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/ContinuousUniformSamplerTest.java
@@ -0,0 +1,51 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.commons.rng.sampling.distribution;
+
+import org.apache.commons.rng.UniformRandomProvider;
+import org.apache.commons.rng.simple.RandomSource;
+import org.junit.Assert;
+import org.junit.Test;
+
+/**
+ * Test for the {@link ContinuousUniformSampler}.
+ */
+public class ContinuousUniformSamplerTest {
+ /**
+ * Test that the sampler algorithm does not require high to be above low.
+ */
+ @Test
+ public void testNoRestrictionOnOrderOfLowAndHighParameters() {
+ // Note: This
+ final double low = 3.18;
+ final double high = 5.23;
+ final UniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ testSampleInRange(rng, low, high);
+ testSampleInRange(rng, high, low);
+ }
+
+ private static void testSampleInRange(UniformRandomProvider rng,
+ double low, double high) {
+ ContinuousUniformSampler sampler = new ContinuousUniformSampler(rng,
low, high);
+ final double min = Math.min(low, high);
+ final double max = Math.max(low, high);
+ for (int i = 0; i < 10; i++) {
+ final double value = sampler.sample();
+ Assert.assertTrue("Value not in range", value >= min && value <=
max);
+ }
+ }
+}
\ No newline at end of file
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/DiscreteUniformSamplerTest.java
similarity index 52%
copy from
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
copy to
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/DiscreteUniformSamplerTest.java
index 0d8d5c7..fd5c117 100644
---
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/DiscreteUniformSamplerTest.java
@@ -16,37 +16,23 @@
*/
package org.apache.commons.rng.sampling.distribution;
-import org.apache.commons.rng.RestorableUniformRandomProvider;
+import org.apache.commons.rng.UniformRandomProvider;
import org.apache.commons.rng.simple.RandomSource;
import org.junit.Test;
/**
- * This test checks the {@link SmallMeanPoissonSampler} can be created
- * from a saved state.
+ * Test for the {@link DiscreteUniformSampler}. The tests hit edge cases for
the sampler.
*/
-public class SmallMeanPoissonSamplerTest {
-
- // Edge cases for construction
-
- /**
- * Test the constructor with a bad mean.
- */
- @Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithMeanLargerThanUpperBound() {
- final RestorableUniformRandomProvider rng =
- RandomSource.create(RandomSource.SPLIT_MIX_64);
- @SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng,
Integer.MAX_VALUE / 2 + 1);
- }
-
+public class DiscreteUniformSamplerTest {
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad range.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithZeroMean() {
- final RestorableUniformRandomProvider rng =
- RandomSource.create(RandomSource.SPLIT_MIX_64);
+ public void testConstructorThrowsWithLowerAboveUpper() {
+ final int upper = 55;
+ final int lower = upper + 1;
+ final UniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng, 0);
+ DiscreteUniformSampler sampler = new DiscreteUniformSampler(rng,
lower, upper);
}
-}
+}
\ No newline at end of file
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/GaussianSamplerTest.java
similarity index 60%
copy from
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
copy to
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/GaussianSamplerTest.java
index 0d8d5c7..08dcbad 100644
---
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/GaussianSamplerTest.java
@@ -21,32 +21,21 @@ import org.apache.commons.rng.simple.RandomSource;
import org.junit.Test;
/**
- * This test checks the {@link SmallMeanPoissonSampler} can be created
- * from a saved state.
+ * Test for the {@link GaussianSampler}. The tests hit edge cases for the
sampler.
*/
-public class SmallMeanPoissonSamplerTest {
-
- // Edge cases for construction
-
- /**
- * Test the constructor with a bad mean.
- */
- @Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithMeanLargerThanUpperBound() {
- final RestorableUniformRandomProvider rng =
- RandomSource.create(RandomSource.SPLIT_MIX_64);
- @SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng,
Integer.MAX_VALUE / 2 + 1);
- }
-
+public class GaussianSamplerTest {
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad standard deviation.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithZeroMean() {
+ public void testConstructorThrowsWithZeroStandardDeviation() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final NormalizedGaussianSampler gauss = new
ZigguratNormalizedGaussianSampler(rng);
+ final double mean = 1;
+ final double standardDeviation = 0;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng, 0);
+ final GaussianSampler sampler =
+ new GaussianSampler(gauss, mean, standardDeviation);
}
}
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/GeometricSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/GeometricSamplerTest.java
index c3267bf..a1d424c 100644
---
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/GeometricSamplerTest.java
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/GeometricSamplerTest.java
@@ -17,7 +17,6 @@
package org.apache.commons.rng.sampling.distribution;
import org.apache.commons.rng.UniformRandomProvider;
-import org.apache.commons.rng.core.source64.SplitMix64;
import org.apache.commons.rng.simple.RandomSource;
import org.junit.Assert;
import org.junit.Test;
@@ -46,7 +45,7 @@ public class GeometricSamplerTest {
*/
@Test
public void testProbabilityOfSuccessIsOneSamplerToString() {
- final UniformRandomProvider unusedRng = new SplitMix64(0L);
+ final UniformRandomProvider unusedRng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
final GeometricSampler sampler = new GeometricSampler(unusedRng, 1);
Assert.assertTrue("Missing 'Geometric' from toString",
sampler.toString().contains("Geometric"));
@@ -75,20 +74,22 @@ public class GeometricSamplerTest {
/**
* Test probability of success {@code >1} is not allowed.
*/
- @SuppressWarnings("unused")
@Test(expected = IllegalArgumentException.class)
public void testProbabilityOfSuccessAboveOneThrows() {
- final UniformRandomProvider unusedRng = new SplitMix64(0L);
- new GeometricSampler(unusedRng, Math.nextUp(1.0));
+ final UniformRandomProvider unusedRng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double probabilityOfSuccess = Math.nextUp(1.0);
+ @SuppressWarnings("unused")
+ final GeometricSampler sampler = new GeometricSampler(unusedRng,
probabilityOfSuccess);
}
/**
* Test probability of success {@code 0} is not allowed.
*/
- @SuppressWarnings("unused")
@Test(expected = IllegalArgumentException.class)
public void testProbabilityOfSuccessIsZeroThrows() {
- final UniformRandomProvider unusedRng = new SplitMix64(0L);
- new GeometricSampler(unusedRng, 0);
+ final UniformRandomProvider unusedRng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double probabilityOfSuccess = 0;
+ @SuppressWarnings("unused")
+ final GeometricSampler sampler = new GeometricSampler(unusedRng,
probabilityOfSuccess);
}
}
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/InverseTransformParetoSamplerTest.java
similarity index 66%
copy from
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
copy to
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/InverseTransformParetoSamplerTest.java
index 0d8d5c7..76c6851 100644
---
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/InverseTransformParetoSamplerTest.java
@@ -21,32 +21,34 @@ import org.apache.commons.rng.simple.RandomSource;
import org.junit.Test;
/**
- * This test checks the {@link SmallMeanPoissonSampler} can be created
- * from a saved state.
+ * Test for the {@link InverseTransformParetoSampler}. The tests hit edge
cases for the sampler.
*/
-public class SmallMeanPoissonSamplerTest {
-
- // Edge cases for construction
-
+public class InverseTransformParetoSamplerTest {
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad scale.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithMeanLargerThanUpperBound() {
+ public void testConstructorThrowsWithZeroScale() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double shape = 1;
+ final double scale = 0;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng,
Integer.MAX_VALUE / 2 + 1);
+ final InverseTransformParetoSampler sampler =
+ new InverseTransformParetoSampler(rng, shape, scale);
}
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad shape.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithZeroMean() {
+ public void testConstructorThrowsWithZeroShape() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double shape = 0;
+ final double scale = 1;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng, 0);
+ final InverseTransformParetoSampler sampler =
+ new InverseTransformParetoSampler(rng, shape, scale);
}
}
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/LargeMeanPoissonSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/LargeMeanPoissonSamplerTest.java
index 7ee0517..7e36082 100644
---
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/LargeMeanPoissonSamplerTest.java
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/LargeMeanPoissonSamplerTest.java
@@ -38,8 +38,9 @@ public class LargeMeanPoissonSamplerTest {
public void testConstructorThrowsWithMeanLargerThanUpperBound() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double mean = Integer.MAX_VALUE / 2 + 1;
@SuppressWarnings("unused")
- LargeMeanPoissonSampler sampler = new LargeMeanPoissonSampler(rng,
Integer.MAX_VALUE / 2 + 1);
+ LargeMeanPoissonSampler sampler = new LargeMeanPoissonSampler(rng,
mean);
}
/**
@@ -49,8 +50,9 @@ public class LargeMeanPoissonSamplerTest {
public void testConstructorThrowsWithZeroMean() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double mean = 0;
@SuppressWarnings("unused")
- LargeMeanPoissonSampler sampler = new LargeMeanPoissonSampler(rng, 0);
+ LargeMeanPoissonSampler sampler = new LargeMeanPoissonSampler(rng,
mean);
}
/**
@@ -121,7 +123,6 @@ public class LargeMeanPoissonSamplerTest {
*
* @param rng1 the first random provider
* @param rng2 the second random provider
- * @param cache the cache
* @param mean the mean
*/
private static void testPoissonSamples(
@@ -136,7 +137,8 @@ public class LargeMeanPoissonSamplerTest {
final LargeMeanPoissonSamplerState state2 =
((LargeMeanPoissonSampler)s2).getState();
Assert.assertEquals("State lambdas are not equal", state1.getLambda(),
state2.getLambda());
Assert.assertNotSame("States are the same object", state1, state2);
- for (int j = 0; j < 10; j++)
+ for (int j = 0; j < 10; j++) {
Assert.assertEquals("Not the same sample", s1.sample(),
s2.sample());
+ }
}
}
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/LogNormalSamplerTest.java
similarity index 63%
copy from
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
copy to
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/LogNormalSamplerTest.java
index 0d8d5c7..f4d4dcb 100644
---
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/LogNormalSamplerTest.java
@@ -21,32 +21,36 @@ import org.apache.commons.rng.simple.RandomSource;
import org.junit.Test;
/**
- * This test checks the {@link SmallMeanPoissonSampler} can be created
- * from a saved state.
+ * Test for the {@link LogNormalSampler}. The tests hit edge cases for the
sampler.
*/
-public class SmallMeanPoissonSamplerTest {
-
- // Edge cases for construction
-
+public class LogNormalSamplerTest {
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad shape.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithMeanLargerThanUpperBound() {
+ public void testConstructorThrowsWithNegativeScale() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final NormalizedGaussianSampler gauss = new
ZigguratNormalizedGaussianSampler(rng);
+ final double scale = -1e-6;
+ final double shape = 1;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng,
Integer.MAX_VALUE / 2 + 1);
+ final LogNormalSampler sampler =
+ new LogNormalSampler(gauss, scale, shape);
}
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad shape.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithZeroMean() {
+ public void testConstructorThrowsWithZeroShape() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final NormalizedGaussianSampler gauss = new
ZigguratNormalizedGaussianSampler(rng);
+ final double scale = 1;
+ final double shape = 0;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng, 0);
+ final LogNormalSampler sampler =
+ new LogNormalSampler(gauss, scale, shape);
}
}
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/RejectionInversionZipfSamplerTest.java
similarity index 64%
copy from
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
copy to
commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/RejectionInversionZipfSamplerTest.java
index 0d8d5c7..08afc16 100644
---
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/RejectionInversionZipfSamplerTest.java
@@ -21,32 +21,34 @@ import org.apache.commons.rng.simple.RandomSource;
import org.junit.Test;
/**
- * This test checks the {@link SmallMeanPoissonSampler} can be created
- * from a saved state.
+ * Test for the {@link RejectionInversionZipfSampler}. The tests hit edge
cases for the sampler.
*/
-public class SmallMeanPoissonSamplerTest {
-
- // Edge cases for construction
-
+public class RejectionInversionZipfSamplerTest {
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad number of elements.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithMeanLargerThanUpperBound() {
+ public void testConstructorThrowsWithZeroNumberOfElements() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final int numberOfElements = 0;
+ final double exponent = 1;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng,
Integer.MAX_VALUE / 2 + 1);
+ final RejectionInversionZipfSampler sampler =
+ new RejectionInversionZipfSampler(rng, numberOfElements, exponent);
}
/**
- * Test the constructor with a bad mean.
+ * Test the constructor with a bad exponent.
*/
@Test(expected=IllegalArgumentException.class)
- public void testConstructorThrowsWithZeroMean() {
+ public void testConstructorThrowsWithZeroExponent() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final int numberOfElements = 1;
+ final double exponent = 0;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng, 0);
+ final RejectionInversionZipfSampler sampler =
+ new RejectionInversionZipfSampler(rng, numberOfElements, exponent);
}
}
diff --git
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
index 0d8d5c7..93ea94d 100644
---
a/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
+++
b/commons-rng-sampling/src/test/java/org/apache/commons/rng/sampling/distribution/SmallMeanPoissonSamplerTest.java
@@ -21,13 +21,9 @@ import org.apache.commons.rng.simple.RandomSource;
import org.junit.Test;
/**
- * This test checks the {@link SmallMeanPoissonSampler} can be created
- * from a saved state.
+ * Test for the {@link SmallMeanPoissonSampler}. The tests hit edge cases for
the sampler.
*/
public class SmallMeanPoissonSamplerTest {
-
- // Edge cases for construction
-
/**
* Test the constructor with a bad mean.
*/
@@ -35,8 +31,9 @@ public class SmallMeanPoissonSamplerTest {
public void testConstructorThrowsWithMeanLargerThanUpperBound() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double mean = Integer.MAX_VALUE / 2 + 1;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng,
Integer.MAX_VALUE / 2 + 1);
+ SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng,
mean);
}
/**
@@ -46,7 +43,8 @@ public class SmallMeanPoissonSamplerTest {
public void testConstructorThrowsWithZeroMean() {
final RestorableUniformRandomProvider rng =
RandomSource.create(RandomSource.SPLIT_MIX_64);
+ final double mean = 0;
@SuppressWarnings("unused")
- SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng, 0);
+ SmallMeanPoissonSampler sampler = new SmallMeanPoissonSampler(rng,
mean);
}
}
