[commons-rng] 10/21: Add ZigguratSampler.NormalizedGaussian to visual command

[aherbert]

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

commit 433b55114cfc352eb639945b2bd9f464be97d038
Author: Alex Herbert <aherb...@apache.org>
AuthorDate: Thu Aug 5 14:34:36 2021 +0100

    Add ZigguratSampler.NormalizedGaussian to visual command
---
 .../rng/examples/sampling/UniformSamplingVisualCheckCommand.java      | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git 
a/commons-rng-examples/examples-sampling/src/main/java/org/apache/commons/rng/examples/sampling/UniformSamplingVisualCheckCommand.java
 
b/commons-rng-examples/examples-sampling/src/main/java/org/apache/commons/rng/examples/sampling/UniformSamplingVisualCheckCommand.java
index 0e50369..4a6ea6f 100644
--- 
a/commons-rng-examples/examples-sampling/src/main/java/org/apache/commons/rng/examples/sampling/UniformSamplingVisualCheckCommand.java
+++ 
b/commons-rng-examples/examples-sampling/src/main/java/org/apache/commons/rng/examples/sampling/UniformSamplingVisualCheckCommand.java
@@ -27,6 +27,7 @@ import picocli.CommandLine.Option;
 import java.util.concurrent.Callable;
 
 import 
org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler;
+import org.apache.commons.rng.sampling.distribution.ZigguratSampler;
 import 
org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler;
 import 
org.apache.commons.rng.sampling.distribution.BoxMullerNormalizedGaussianSampler;
 import org.apache.commons.rng.sampling.distribution.ContinuousSampler;
@@ -67,6 +68,7 @@ class UniformSamplingVisualCheckCommand implements 
Callable<Void> {
         ZigguratNormalizedGaussianSampler.of(rng),
         MarsagliaNormalizedGaussianSampler.of(rng),
         BoxMullerNormalizedGaussianSampler.of(rng),
+        ZigguratSampler.NormalizedGaussian.of(rng),
     };
 
     // Allow System.out
@@ -89,7 +91,7 @@ class UniformSamplingVisualCheckCommand implements 
Callable<Void> {
         }
 
         for (int n = 0; n < numSamples; n++) {
-            System.out.printf("[%d]", n, rng.nextDouble());
+            System.out.printf("[%d]", n);
 
             for (final ContinuousSampler s : samplers) {
                 double r = s.sample();