commons-notifications mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From er...@apache.org
Subject svn commit: r1010778 [26/39] - in /websites/production/commons/content/proper/commons-rng: ./ commons-rng-client-api/ commons-rng-client-api/apidocs/ commons-rng-client-api/apidocs/org/apache/commons/rng/ commons-rng-client-api/apidocs/org/apache/commo...
Date Thu, 20 Apr 2017 11:33:54 GMT
Modified: websites/production/commons/content/proper/commons-rng/commons-rng-sampling/surefire-report.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/commons-rng-sampling/surefire-report.html (original)
+++ websites/production/commons/content/proper/commons-rng/commons-rng-sampling/surefire-report.html Thu Apr 20 11:33:45 2017
@@ -1,13 +1,13 @@
 <!DOCTYPE html>
 <!--
- | Generated by Apache Maven Doxia at 12 December 2016
+ | Generated by Apache Maven Doxia at 20 April 2017
  | Rendered using Apache Maven Fluido Skin 1.3.0
 -->
 <html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <meta name="Date-Revision-yyyymmdd" content="20161212" />
+    <meta name="Date-Revision-yyyymmdd" content="20170420" />
     <meta http-equiv="Content-Language" content="en" />
     <title>RNG &#x2013; Surefire Report</title>
 
@@ -40,8 +40,8 @@
           <a class="brand" href="http://commons.apache.org/proper/commons-rng/commons-rng-sampling/">Apache Commons RNG Sampling &trade;</a>
           <ul class="nav">      
                     
-            <li id="publishDate">Last Published: 12 December 2016</li>
-      <li class="divider">|</li> <li id="projectVersion">Version: 1.0</li>
+            <li id="publishDate">Last Published: 20 April 2017</li>
+      <li class="divider">|</li> <li id="projectVersion">Version: 1.1-SNAPSHOT</li>
   </ul>
                     <div class="pull-right">  <ul class="nav">
             <li>
@@ -88,7 +88,7 @@
                   <a href="project-info.html" title="Project Information">
     Project Information</a>
                     </li>
-                                                                                                                                                                                                                                                                                               <li class="expanded">
+                                                                                                                                                                                                                                                                                                                 <li class="expanded">
                   <a href="project-reports.html" title="Project Reports">
     Project Reports</a>
                     <ul>
@@ -133,6 +133,10 @@
     Checkstyle</a>
           </li>
                                      <li class="none">
+                  <a href="clirr-report.html" title="Clirr">
+    Clirr</a>
+          </li>
+                                     <li class="none">
                   <a href="pmd.html" title="PMD">
     PMD</a>
           </li>
@@ -270,12 +274,12 @@ function toggleDisplay(elementId) {
 <th>Success Rate</th>
 <th>Time</th></tr>
 <tr class="b">
-<td>63</td>
-<td>0</td>
+<td>66</td>
 <td>0</td>
+<td>1</td>
 <td>0</td>
-<td>100%</td>
-<td>53.224</td></tr></table><br />
+<td>98.485%</td>
+<td>53.182</td></tr></table><br />
 <p>Note: failures are anticipated and checked for with assertions while errors are unanticipated.</p><br /></div>
 <div class="section">
 <h2><a name="Package_List"></a>Package List</h2><a name="Package_List"></a>
@@ -296,15 +300,15 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
-<td>0.127</td></tr>
+<td>0.108</td></tr>
 <tr class="a">
 <td><a href="#org.apache.commons.rng.sampling.distribution">org.apache.commons.rng.sampling.distribution</a></td>
-<td>43</td>
-<td>0</td>
+<td>46</td>
 <td>0</td>
+<td>1</td>
 <td>0</td>
-<td>100%</td>
-<td>53.097</td></tr></table><br />
+<td>97.826%</td>
+<td>53.074</td></tr></table><br />
 <p>Note: package statistics are not computed recursively, they only sum up all of its testsuites numbers.</p>
 <div class="section">
 <h3><a name="org.apache.commons.rng.sampling"></a>org.apache.commons.rng.sampling</h3><a name="org.apache.commons.rng.sampling"></a>
@@ -326,7 +330,7 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
-<td>0.017</td></tr>
+<td>0.008</td></tr>
 <tr class="a">
 <td><a href="#org.apache.commons.rng.samplingCollectionSamplerTest"><img src="images/icon_success_sml.gif" alt="" /></a></td>
 <td><a href="#org.apache.commons.rng.samplingCollectionSamplerTest">CollectionSamplerTest</a></td>
@@ -335,7 +339,7 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
-<td>0.1</td></tr>
+<td>0.095</td></tr>
 <tr class="b">
 <td><a href="#org.apache.commons.rng.samplingPermutationSamplerTest"><img src="images/icon_success_sml.gif" alt="" /></a></td>
 <td><a href="#org.apache.commons.rng.samplingPermutationSamplerTest">PermutationSamplerTest</a></td>
@@ -344,7 +348,7 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
-<td>0.01</td></tr></table></div>
+<td>0.005</td></tr></table></div>
 <div class="section">
 <h3><a name="org.apache.commons.rng.sampling.distribution"></a>org.apache.commons.rng.sampling.distribution</h3><a name="org.apache.commons.rng.sampling.distribution"></a>
 <table border="1" class="bodyTable">
@@ -365,16 +369,16 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
-<td>6.231</td></tr>
+<td>6.352</td></tr>
 <tr class="a">
-<td><a href="#org.apache.commons.rng.sampling.distributionContinuousSamplerParametricTest"><img src="images/icon_success_sml.gif" alt="" /></a></td>
+<td><a href="#org.apache.commons.rng.sampling.distributionContinuousSamplerParametricTest"><img src="images/icon_warning_sml.gif" alt="" /></a></td>
 <td><a href="#org.apache.commons.rng.sampling.distributionContinuousSamplerParametricTest">ContinuousSamplerParametricTest</a></td>
-<td>29</td>
-<td>0</td>
+<td>32</td>
 <td>0</td>
+<td>1</td>
 <td>0</td>
-<td>100%</td>
-<td>46.866</td></tr></table></div><br /></div>
+<td>96.875%</td>
+<td>46.722</td></tr></table></div><br /></div>
 <div class="section">
 <h2><a name="Test_Cases"></a>Test Cases</h2><a name="Test_Cases"></a>
 <p>[<a href="#Summary">Summary</a>] [<a href="#Package_List">Package List</a>] [<a href="#Test_Cases">Test Cases</a>]</p>
@@ -384,7 +388,7 @@ function toggleDisplay(elementId) {
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.ListSamplerTest.testSampleWhole"></a>testSampleWhole</td>
-<td>0.002</td></tr>
+<td>0</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.ListSamplerTest.testShuffleHead"></a>testShuffleHead</td>
@@ -400,200 +404,226 @@ function toggleDisplay(elementId) {
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.ListSamplerTest.testSamplePrecondition2"></a>testSamplePrecondition2</td>
-<td>0</td></tr>
+<td>0.001</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.ListSamplerTest.testSample"></a>testSample</td>
-<td>0.013</td></tr></table></div>
+<td>0.007</td></tr></table></div>
 <div class="section">
 <h3><a name="DiscreteSamplerParametricTest"></a>DiscreteSamplerParametricTest</h3><a name="org.apache.commons.rng.sampling.distributionDiscreteSamplerParametricTest"></a>
 <table border="1" class="bodyTable">
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling0:_dataorg.apache.commons.math3.distribution.BinomialDistribution4f25b795_inverse_method_rngorg.apache.commons.rng.core.source32.KISSRandom:_p90.023095769094454786_p100.05158055097761578_p110.09520377177686645_p120.14496937975113766_p130.18112724369839103_p140.18387159587563948_p150.149326023317186_p160.09474283676374497"></a>testSampling[0: data=org.apache.commons.math3.distribution.BinomialDistribution@4f25b795 (inverse method) [rng=org.apache.commons.rng.core.source32.KISSRandom]: [p(9)=0.023095769094454786, p(10)=0.05158055097761578, p(11)=0.09520377177686645, p(12)=0.14496937975113766, p(13)=0.18112724369839103, p(14)=0.18387159587563948, p(15)=0.149326023317186, p(16)=0.09474283676374497]]</td>
-<td>1.157</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling0:_dataorg.apache.commons.math3.distribution.BinomialDistribution3549bca9_inverse_method_rngorg.apache.commons.rng.core.source32.KISSRandom:_p90.023095769094454786_p100.05158055097761578_p110.09520377177686645_p120.14496937975113766_p130.18112724369839103_p140.18387159587563948_p150.149326023317186_p160.09474283676374497"></a>testSampling[0: data=org.apache.commons.math3.distribution.BinomialDistribution@3549bca9 (inverse method) [rng=org.apache.commons.rng.core.source32.KISSRandom]: [p(9)=0.023095769094454786, p(10)=0.05158055097761578, p(11)=0.09520377177686645, p(12)=0.14496937975113766, p(13)=0.18112724369839103, p(14)=0.18387159587563948, p(15)=0.149326023317186, p(16)=0.09474283676374497]]</td>
+<td>1.065</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling1:_dataorg.apache.commons.math3.distribution.GeometricDistribution6d1ef78d_inverse_method_rngorg.apache.commons.rng.core.source32.ISAACRandom:_p00.21_p10.1659_p20.13106099999999998_p30.10353819_p40.08179517010000001_p50.064618184379_p60.051048365659410004_p70.040328208870933906_p80.03185928500803778_p90.02516883515634985"></a>testSampling[1: data=org.apache.commons.math3.distribution.GeometricDistribution@6d1ef78d (inverse method) [rng=org.apache.commons.rng.core.source32.ISAACRandom]: [p(0)=0.21, p(1)=0.1659, p(2)=0.13106099999999998, p(3)=0.10353819, p(4)=0.08179517010000001, p(5)=0.064618184379, p(6)=0.051048365659410004, p(7)=0.040328208870933906, p(8)=0.03185928500803778, p(9)=0.02516883515634985]]</td>
-<td>0.082</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling1:_dataorg.apache.commons.math3.distribution.GeometricDistribution4b14918a_inverse_method_rngorg.apache.commons.rng.core.source32.ISAACRandom:_p00.21_p10.1659_p20.13106099999999998_p30.10353819_p40.08179517010000001_p50.064618184379_p60.051048365659410004_p70.040328208870933906_p80.03185928500803778_p90.02516883515634985"></a>testSampling[1: data=org.apache.commons.math3.distribution.GeometricDistribution@4b14918a (inverse method) [rng=org.apache.commons.rng.core.source32.ISAACRandom]: [p(0)=0.21, p(1)=0.1659, p(2)=0.13106099999999998, p(3)=0.10353819, p(4)=0.08179517010000001, p(5)=0.064618184379, p(6)=0.051048365659410004, p(7)=0.040328208870933906, p(8)=0.03185928500803778, p(9)=0.02516883515634985]]</td>
+<td>0.095</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling2:_dataorg.apache.commons.math3.distribution.HypergeometricDistribution1a6c1270_inverse_method_rngorg.apache.commons.rng.core.source32.MersenneTwister:_p00.0024657026325546985_p10.027122728958101586_p20.11475000713042978_p30.24589287242234964_p40.2950714469068194_p50.20655001283477373_p60.08505000528490682_p70.020250001258311178_p80.00266447384977778_p91.7763158998518558E-4"></a>testSampling[2: data=org.apache.commons.math3.distribution.HypergeometricDistribution@1a6c1270 (inverse method) [rng=org.apache.commons.rng.core.source32.MersenneTwister]: [p(0)=0.0024657026325546985, p(1)=0.027122728958101586, p(2)=0.11475000713042978, p(3)=0.24589287242234964, p(4)=0.2950714469068194, p(5)=0.20655001283477373, p(6)=0.08505000528490682, p(7)=0.020250001258311178, p(8)=0.00266447384977778, p(9)=1.7763158998518558E-4]]</td>
-<td>1.42</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling2:_dataorg.apache.commons.math3.distribution.HypergeometricDistribution6d1ef78d_inverse_method_rngorg.apache.commons.rng.core.source32.MersenneTwister:_p00.0024657026325546985_p10.027122728958101586_p20.11475000713042978_p30.24589287242234964_p40.2950714469068194_p50.20655001283477373_p60.08505000528490682_p70.020250001258311178_p80.00266447384977778_p91.7763158998518558E-4"></a>testSampling[2: data=org.apache.commons.math3.distribution.HypergeometricDistribution@6d1ef78d (inverse method) [rng=org.apache.commons.rng.core.source32.MersenneTwister]: [p(0)=0.0024657026325546985, p(1)=0.027122728958101586, p(2)=0.11475000713042978, p(3)=0.24589287242234964, p(4)=0.2950714469068194, p(5)=0.20655001283477373, p(6)=0.08505000528490682, p(7)=0.020250001258311178, p(8)=0.00266447384977778, p(9)=1.7763158998518558E-4]]</td>
+<td>1.413</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling3:_dataorg.apache.commons.math3.distribution.PascalDistribution18a136ac_inverse_method_rngorg.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xedce446814d3b3d9L_33_330658535__Cmres:_0xc5b3cf786c806df7L_33_331932042:_p13.072000000000001E-4_p28.601600000000005E-4_p30.001835008000000001_p40.003303014400000002_p50.0052848230400000034_p60.007751073792000006_p70.010630044057600008_p80.013819057274880012_p90.017197049053184015_p100.02063645886382082_p110.024013333950627862_p120.027215111810711578_p130.030145970005711287_p140.03272991029191512_p150.03491190431137613_p160.03665749952694493_p170.03795129362789594_p180.03879465570851585"></a>testSampling[3: data=org.apache.commons.math3.distribution.PascalDistribution@18a136ac (inverse method) [rng=org.apache.commons.rng.core.source64.TwoCmres (Cmres: [0xedce446814d3b3d9L, 33, 330658535] + Cmres: [0xc5b3cf786c806df7L, 33, 331932042])]: [p(1
 )=3.072000000000001E-4, p(2)=8.601600000000005E-4, p(3)=0.001835008000000001, p(4)=0.003303014400000002, p(5)=0.0052848230400000034, p(6)=0.007751073792000006, p(7)=0.010630044057600008, p(8)=0.013819057274880012, p(9)=0.017197049053184015, p(10)=0.02063645886382082, p(11)=0.024013333950627862, p(12)=0.027215111810711578, p(13)=0.030145970005711287, p(14)=0.03272991029191512, p(15)=0.03491190431137613, p(16)=0.03665749952694493, p(17)=0.03795129362789594, p(18)=0.03879465570851585]]</td>
-<td>2.043</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling3:_dataorg.apache.commons.math3.distribution.PascalDistribution1a6c1270_inverse_method_rngorg.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xedce446814d3b3d9L_33_330658535__Cmres:_0xc5b3cf786c806df7L_33_331932042:_p13.072000000000001E-4_p28.601600000000005E-4_p30.001835008000000001_p40.003303014400000002_p50.0052848230400000034_p60.007751073792000006_p70.010630044057600008_p80.013819057274880012_p90.017197049053184015_p100.02063645886382082_p110.024013333950627862_p120.027215111810711578_p130.030145970005711287_p140.03272991029191512_p150.03491190431137613_p160.03665749952694493_p170.03795129362789594_p180.03879465570851585"></a>testSampling[3: data=org.apache.commons.math3.distribution.PascalDistribution@1a6c1270 (inverse method) [rng=org.apache.commons.rng.core.source64.TwoCmres (Cmres: [0xedce446814d3b3d9L, 33, 330658535] + Cmres: [0xc5b3cf786c806df7L, 33, 331932042])]: [p(1
 )=3.072000000000001E-4, p(2)=8.601600000000005E-4, p(3)=0.001835008000000001, p(4)=0.003303014400000002, p(5)=0.0052848230400000034, p(6)=0.007751073792000006, p(7)=0.010630044057600008, p(8)=0.013819057274880012, p(9)=0.017197049053184015, p(10)=0.02063645886382082, p(11)=0.024013333950627862, p(12)=0.027215111810711578, p(13)=0.030145970005711287, p(14)=0.03272991029191512, p(15)=0.03491190431137613, p(16)=0.03665749952694493, p(17)=0.03795129362789594, p(18)=0.03879465570851585]]</td>
+<td>2.151</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling4:_dataorg.apache.commons.math3.distribution.UniformIntegerDistribution77d67cf3_inverse_method_rngorg.apache.commons.rng.core.source64.SplitMix64:_p-30.125_p-20.125_p-10.125_p00.125_p10.125_p20.125_p30.125_p40.125"></a>testSampling[4: data=org.apache.commons.math3.distribution.UniformIntegerDistribution@77d67cf3 (inverse method) [rng=org.apache.commons.rng.core.source64.SplitMix64]: [p(-3)=0.125, p(-2)=0.125, p(-1)=0.125, p(0)=0.125, p(1)=0.125, p(2)=0.125, p(3)=0.125, p(4)=0.125]]</td>
-<td>0.05</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling4:_dataorg.apache.commons.math3.distribution.UniformIntegerDistribution18a136ac_inverse_method_rngorg.apache.commons.rng.core.source64.SplitMix64:_p-30.125_p-20.125_p-10.125_p00.125_p10.125_p20.125_p30.125_p40.125"></a>testSampling[4: data=org.apache.commons.math3.distribution.UniformIntegerDistribution@18a136ac (inverse method) [rng=org.apache.commons.rng.core.source64.SplitMix64]: [p(-3)=0.125, p(-2)=0.125, p(-1)=0.125, p(0)=0.125, p(1)=0.125, p(2)=0.125, p(3)=0.125, p(4)=0.125]]</td>
+<td>0.047</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling5:_dataUniform_deviate_rngorg.apache.commons.rng.core.source64.MersenneTwister64:_p-30.125_p-20.125_p-10.125_p00.125_p10.125_p20.125_p30.125_p40.125"></a>testSampling[5: data=Uniform deviate [rng=org.apache.commons.rng.core.source64.MersenneTwister64]: [p(-3)=0.125, p(-2)=0.125, p(-1)=0.125, p(0)=0.125, p(1)=0.125, p(2)=0.125, p(3)=0.125, p(4)=0.125]]</td>
-<td>0.029</td></tr>
+<td>0.045</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling6:_dataUniform_deviate_rngorg.apache.commons.rng.core.source32.Well1024a:_p-10737418234.6566128318777105E-10_p-9663676414.6566128318777105E-10_p-8589934594.6566128318777105E-10_p-7516192774.6566128318777105E-10_p-6442450954.6566128318777105E-10_p-5368709134.6566128318777105E-10_p-4294967314.6566128318777105E-10_p-3221225494.6566128318777105E-10_p-2147483674.6566128318777105E-10_p-1073741854.6566128318777105E-10_p-34.6566128318777105E-10_p1073741794.6566128318777105E-10_p2147483614.6566128318777105E-10_p3221225434.6566128318777105E-10_p4294967254.6566128318777105E-10_p5368709074.6566128318777105E-10_p6442450894.6566128318777105E-10_p7516192714.6566128318777105E-10_p8589934534.6566128318777105E-10_p9663676354.6566128318777105E-10"></a>testSampling[6: data=Uniform deviate [rng=org.apache.commons.rng.core.source32.Well1024a]: [p(-1073741823)=4.6566128318777105E-10, p(-966367641)=4.6566
 128318777105E-10, p(-858993459)=4.6566128318777105E-10, p(-751619277)=4.6566128318777105E-10, p(-644245095)=4.6566128318777105E-10, p(-536870913)=4.6566128318777105E-10, p(-429496731)=4.6566128318777105E-10, p(-322122549)=4.6566128318777105E-10, p(-214748367)=4.6566128318777105E-10, p(-107374185)=4.6566128318777105E-10, p(-3)=4.6566128318777105E-10, p(107374179)=4.6566128318777105E-10, p(214748361)=4.6566128318777105E-10, p(322122543)=4.6566128318777105E-10, p(429496725)=4.6566128318777105E-10, p(536870907)=4.6566128318777105E-10, p(644245089)=4.6566128318777105E-10, p(751619271)=4.6566128318777105E-10, p(858993453)=4.6566128318777105E-10, p(966367635)=4.6566128318777105E-10]]</td>
 <td>0.043</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling7:_dataorg.apache.commons.math3.distribution.ZipfDistribution6dee4f1b_inverse_method_rngorg.apache.commons.rng.core.source64.XorShift1024Star:_p10.7492972273207761_p20.14748192097270862_p30.05699080391974589_p40.029028423195390594_p50.017201624591378938"></a>testSampling[7: data=org.apache.commons.math3.distribution.ZipfDistribution@6dee4f1b (inverse method) [rng=org.apache.commons.rng.core.source64.XorShift1024Star]: [p(1)=0.7492972273207761, p(2)=0.14748192097270862, p(3)=0.05699080391974589, p(4)=0.029028423195390594, p(5)=0.017201624591378938]]</td>
-<td>0.325</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling7:_dataorg.apache.commons.math3.distribution.ZipfDistribution77d67cf3_inverse_method_rngorg.apache.commons.rng.core.source64.XorShift1024Star:_p10.7492972273207761_p20.14748192097270862_p30.05699080391974589_p40.029028423195390594_p50.017201624591378938"></a>testSampling[7: data=org.apache.commons.math3.distribution.ZipfDistribution@77d67cf3 (inverse method) [rng=org.apache.commons.rng.core.source64.XorShift1024Star]: [p(1)=0.7492972273207761, p(2)=0.14748192097270862, p(3)=0.05699080391974589, p(4)=0.029028423195390594, p(5)=0.017201624591378938]]</td>
+<td>0.324</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling8:_dataRejection_inversion_Zipf_deviate_rngorg.apache.commons.rng.core.source32.Well19937c:_p10.7492972273207761_p20.14748192097270862_p30.05699080391974589_p40.029028423195390594_p50.017201624591378938"></a>testSampling[8: data=Rejection inversion Zipf deviate [rng=org.apache.commons.rng.core.source32.Well19937c]: [p(1)=0.7492972273207761, p(2)=0.14748192097270862, p(3)=0.05699080391974589, p(4)=0.029028423195390594, p(5)=0.017201624591378938]]</td>
-<td>0.075</td></tr>
+<td>0.081</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling9:_dataRejection_inversion_Zipf_deviate_rngorg.apache.commons.rng.core.source32.Well19937c:_p10.4379562043530691_p20.21897810219171296_p30.14598540146706115_p40.10948905110344569_p50.08759124088471108"></a>testSampling[9: data=Rejection inversion Zipf deviate [rng=org.apache.commons.rng.core.source32.Well19937c]: [p(1)=0.4379562043530691, p(2)=0.21897810219171296, p(3)=0.14598540146706115, p(4)=0.10948905110344569, p(5)=0.08759124088471108]]</td>
-<td>0.05</td></tr>
+<td>0.049</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling10:_dataorg.apache.commons.math3.distribution.PoissonDistribution176b3f44_inverse_method_rngorg.apache.commons.rng.core.source32.MultiplyWithCarry256:_p00.04035661327203115_p10.12954472860322003_p20.20791928940816812_p30.2224736396667398_p40.17853509583255872_p50.11461953152450273_p60.06132144936560896_p70.028120264637657804_p80.011283256185860206_p90.004024361372956809"></a>testSampling[10: data=org.apache.commons.math3.distribution.PoissonDistribution@176b3f44 (inverse method) [rng=org.apache.commons.rng.core.source32.MultiplyWithCarry256]: [p(0)=0.04035661327203115, p(1)=0.12954472860322003, p(2)=0.20791928940816812, p(3)=0.2224736396667398, p(4)=0.17853509583255872, p(5)=0.11461953152450273, p(6)=0.06132144936560896, p(7)=0.028120264637657804, p(8)=0.011283256185860206, p(9)=0.004024361372956809]]</td>
-<td>0.305</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling10:_dataorg.apache.commons.math3.distribution.PoissonDistribution6dee4f1b_inverse_method_rngorg.apache.commons.rng.core.source32.MultiplyWithCarry256:_p00.04035661327203115_p10.12954472860322003_p20.20791928940816812_p30.2224736396667398_p40.17853509583255872_p50.11461953152450273_p60.06132144936560896_p70.028120264637657804_p80.011283256185860206_p90.004024361372956809"></a>testSampling[10: data=org.apache.commons.math3.distribution.PoissonDistribution@6dee4f1b (inverse method) [rng=org.apache.commons.rng.core.source32.MultiplyWithCarry256]: [p(0)=0.04035661327203115, p(1)=0.12954472860322003, p(2)=0.20791928940816812, p(3)=0.2224736396667398, p(4)=0.17853509583255872, p(5)=0.11461953152450273, p(6)=0.06132144936560896, p(7)=0.028120264637657804, p(8)=0.011283256185860206, p(9)=0.004024361372956809]]</td>
+<td>0.3</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling11:_dataPoisson_deviate_rngorg.apache.commons.rng.core.source32.KISSRandom:_p00.04035661327203115_p10.12954472860322003_p20.20791928940816812_p30.2224736396667398_p40.17853509583255872_p50.11461953152450273_p60.06132144936560896_p70.028120264637657804_p80.011283256185860206_p90.004024361372956809"></a>testSampling[11: data=Poisson deviate [rng=org.apache.commons.rng.core.source32.KISSRandom]: [p(0)=0.04035661327203115, p(1)=0.12954472860322003, p(2)=0.20791928940816812, p(3)=0.2224736396667398, p(4)=0.17853509583255872, p(5)=0.11461953152450273, p(6)=0.06132144936560896, p(7)=0.028120264637657804, p(8)=0.011283256185860206, p(9)=0.004024361372956809]]</td>
-<td>0.06</td></tr>
+<td>0.061</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling12:_dataPoisson_deviate_rngorg.apache.commons.rng.core.source64.SplitMix64:_p422.01332261864714E-4_p433.178708664650107E-4_p444.904602982797607E-4_p457.399411033380707E-4_p460.0010920565544700338_p470.0015774408400631998_p480.0022310928881643863_p490.0030912019628057353_p500.004197234025097629_p510.005587259175762295_p520.007294596643125029_p530.009343965398146416_p540.0117474409422251_p550.014500613919412056_p560.017579404981944432_p570.020937996565336982_p580.02450828597966772_p590.028201144663722724_p600.031909595187002274_p610.035513810118780076_p620.03888762208006417_p630.041906042270088206_p640.04445314390181701_p650.04642959906914395_p660.04775917395157853_p670.048393586859293534_p680.04831530311584467_p690.04753805693528543_p700.0461051240762361_p710.044085589768108016_p720.041569037352178526_p730.03865920473752602_p740.035467208238251904_p750.03210491689726564_p760.0286789
 84317833736_p770.02528592526412639_p780.02200848033566078_p790.018913363670734304_p800.016050353245076903_p810.013452573849484829_p820.01113774681270152_p830.009110140133907273_p840.0073629454010829265_p850.005880827803288493_p860.004642434878665753_p870.0036227000449726354_p880.00279483075060444_p890.0021319220186352314_p900.001608179842723834_p910.0011997728518958395"></a>testSampling[12: data=Poisson deviate [rng=org.apache.commons.rng.core.source64.SplitMix64]: [p(42)=2.01332261864714E-4, p(43)=3.178708664650107E-4, p(44)=4.904602982797607E-4, p(45)=7.399411033380707E-4, p(46)=0.0010920565544700338, p(47)=0.0015774408400631998, p(48)=0.0022310928881643863, p(49)=0.0030912019628057353, p(50)=0.004197234025097629, p(51)=0.005587259175762295, p(52)=0.007294596643125029, p(53)=0.009343965398146416, p(54)=0.0117474409422251, p(55)=0.014500613919412056, p(56)=0.017579404981944432, p(57)=0.020937996565336982, p(58)=0.02450828597966772, p(59)=0.028201144663722724, p(60)=0.03190959518700
 2274, p(61)=0.035513810118780076, p(62)=0.03888762208006417, p(63)=0.041906042270088206, p(64)=0.04445314390181701, p(65)=0.04642959906914395, p(66)=0.04775917395157853, p(67)=0.048393586859293534, p(68)=0.04831530311584467, p(69)=0.04753805693528543, p(70)=0.0461051240762361, p(71)=0.044085589768108016, p(72)=0.041569037352178526, p(73)=0.03865920473752602, p(74)=0.035467208238251904, p(75)=0.03210491689726564, p(76)=0.028678984317833736, p(77)=0.02528592526412639, p(78)=0.02200848033566078, p(79)=0.018913363670734304, p(80)=0.016050353245076903, p(81)=0.013452573849484829, p(82)=0.01113774681270152, p(83)=0.009110140133907273, p(84)=0.0073629454010829265, p(85)=0.005880827803288493, p(86)=0.004642434878665753, p(87)=0.0036227000449726354, p(88)=0.00279483075060444, p(89)=0.0021319220186352314, p(90)=0.001608179842723834, p(91)=0.0011997728518958395]]</td>
-<td>0.238</td></tr>
+<td>0.228</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling13:_dataPoisson_deviate_rngorg.apache.commons.rng.core.source64.SplitMix64:_p4930.0016370423596245532_p4940.0018001169639102297_p4950.001975437446395307_p4960.0021634624501136986_p4970.002364616574499522_p4980.0025792838743652325_p4990.002807801189166206_p5000.0030504513679339516_p5010.0033074564622263495_p5020.0035789709658286383_p5030.003865075185582054_p5040.004165768832460373_p5050.004480964925704556_p5060.004810484105320098_p5070.005154049449410124_p5080.005511281892547389_p5090.0058816963395887404_p5100.006264698565937252_p5110.00665958299022069_p5120.007065531398667543_p5130.007481612692144635_p5140.007906783716925849_p5150.008339891228876293_p5160.008779675027980412_p5170.009224772286168744_p5180.009673723076389433_p5190.010124977095039503_p5200.010576901553454624_p5210.011027790197412837_p5220.01147587339681346_p5230.011919329231133919_p5240.012356295480237135_p5250.012784
 882414894509_p5260.01320318626729058_p5270.013609303249060564_p5280.014001343973337485_p5290.014377448128084405_p5300.014735799240861758_p5310.015074639370298527_p5320.015392283557029806_p5330.01568713386681832_p5340.015957692861038167_p5350.016202576334662704_p5360.016420525169313662_p5370.016610416158701815_p5380.016771271675777723_p5390.01690226806493361_p5400.017002742658430728_p5410.01707219933361581_p5420.017110312546150266_p5430.0171169297940963_p5440.017092072487961484_p5450.017035935222358828_p5460.01694888346545337_p5470.016831449702502596_p5480.016684328089227072_p5490.016508367689160367_p5500.016304564386234198_p5510.01607405157939432_p5520.01581808977978767_p5530.015538055242818191_p5540.015235427776987854_p5550.01491177787880644_p5560.014568753348105113_p5570.01420806554079746_p5580.013831475416517176_p5590.013440779536683895_p5600.013037796164503672_p5610.012624351612335194_p5620.012202266973908537_p5630.011773345369266176_p5640.011339359819218225_p5650.01090204185380
 094_p5660.010463070945942074_p5670.010024064847522387_p5680.009586570890532808_p5690.009152058301311649_p5700.00872191156115_p5710.00829742483210559_p5720.007879797452881258_p5730.007470130496299524_p5740.007069424367412655_p5750.006678577409777789_p5760.006298385477023251_p5770.0059295424176322355_p5780.005572641412944653_p5790.005228177101771437_p5800.004896548419747005_p5810.004578062077608903_p5820.0042729365999620815_p5830.003981306844709093_p5840.0037032289231411454_p5850.003438685441605985_p5860.0031875909876020255_p5870.002949797785988582_p5880.0027251014546375114_p5890.0025132467931640802_p5900.002313933543245188_p5910.0021268220643421614_p5920.0019515388742758566"></a>testSampling[13: data=Poisson deviate [rng=org.apache.commons.rng.core.source64.SplitMix64]: [p(493)=0.0016370423596245532, p(494)=0.0018001169639102297, p(495)=0.001975437446395307, p(496)=0.0021634624501136986, p(497)=0.002364616574499522, p(498)=0.0025792838743652325, p(499)=0.002807801189166206, p(500)=0.
 0030504513679339516, p(501)=0.0033074564622263495, p(502)=0.0035789709658286383, p(503)=0.003865075185582054, p(504)=0.004165768832460373, p(505)=0.004480964925704556, p(506)=0.004810484105320098, p(507)=0.005154049449410124, p(508)=0.005511281892547389, p(509)=0.0058816963395887404, p(510)=0.006264698565937252, p(511)=0.00665958299022069, p(512)=0.007065531398667543, p(513)=0.007481612692144635, p(514)=0.007906783716925849, p(515)=0.008339891228876293, p(516)=0.008779675027980412, p(517)=0.009224772286168744, p(518)=0.009673723076389433, p(519)=0.010124977095039503, p(520)=0.010576901553454624, p(521)=0.011027790197412837, p(522)=0.01147587339681346, p(523)=0.011919329231133919, p(524)=0.012356295480237135, p(525)=0.012784882414894509, p(526)=0.01320318626729058, p(527)=0.013609303249060564, p(528)=0.014001343973337485, p(529)=0.014377448128084405, p(530)=0.014735799240861758, p(531)=0.015074639370298527, p(532)=0.015392283557029806, p(533)=0.01568713386681832, p(534)=0.01595769286
 1038167, p(535)=0.016202576334662704, p(536)=0.016420525169313662, p(537)=0.016610416158701815, p(538)=0.016771271675777723, p(539)=0.01690226806493361, p(540)=0.017002742658430728, p(541)=0.01707219933361581, p(542)=0.017110312546150266, p(543)=0.0171169297940963, p(544)=0.017092072487961484, p(545)=0.017035935222358828, p(546)=0.01694888346545337, p(547)=0.016831449702502596, p(548)=0.016684328089227072, p(549)=0.016508367689160367, p(550)=0.016304564386234198, p(551)=0.01607405157939432, p(552)=0.01581808977978767, p(553)=0.015538055242818191, p(554)=0.015235427776987854, p(555)=0.01491177787880644, p(556)=0.014568753348105113, p(557)=0.01420806554079746, p(558)=0.013831475416517176, p(559)=0.013440779536683895, p(560)=0.013037796164503672, p(561)=0.012624351612335194, p(562)=0.012202266973908537, p(563)=0.011773345369266176, p(564)=0.011339359819218225, p(565)=0.01090204185380094, p(566)=0.010463070945942074, p(567)=0.010024064847522387, p(568)=0.009586570890532808, p(569)=0.009
 152058301311649, p(570)=0.00872191156115, p(571)=0.00829742483210559, p(572)=0.007879797452881258, p(573)=0.007470130496299524, p(574)=0.007069424367412655, p(575)=0.006678577409777789, p(576)=0.006298385477023251, p(577)=0.0059295424176322355, p(578)=0.005572641412944653, p(579)=0.005228177101771437, p(580)=0.004896548419747005, p(581)=0.004578062077608903, p(582)=0.0042729365999620815, p(583)=0.003981306844709093, p(584)=0.0037032289231411454, p(585)=0.003438685441605985, p(586)=0.0031875909876020255, p(587)=0.002949797785988582, p(588)=0.0027251014546375114, p(589)=0.0025132467931640802, p(590)=0.002313933543245188, p(591)=0.0021268220643421614, p(592)=0.0019515388742758566]]</td>
-<td>0.223</td></tr></table></div>
+<td>0.204</td></tr></table></div>
 <div class="section">
 <h3><a name="ContinuousSamplerParametricTest"></a>ContinuousSamplerParametricTest</h3><a name="org.apache.commons.rng.sampling.distributionContinuousSamplerParametricTest"></a>
 <table border="1" class="bodyTable">
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling0:_dataorg.apache.commons.math3.distribution.NormalDistribution6fa590ba_inverse_method_rngorg.apache.commons.rng.core.source32.KISSRandom:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177"></a>testSampling[0: data=org.apache.commons.math3.distribution.NormalDistribution@6fa590ba (inverse method) [rng=org.apache.commons.rng.core.source32.KISSRandom]: deciles=[-132.15045357848228, -129.16376655472652, -127.0101550807749, -125.16997348318894, -123.45, -121.73002651681107, -119.88984491922511, -117.73623344527348, -114.7495464215177]]</td>
-<td>0.125</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling0:_dataorg.apache.commons.math3.distribution.NormalDistribution532a02d9_inverse_method_rngorg.apache.commons.rng.core.source32.KISSRandom:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177"></a>testSampling[0: data=org.apache.commons.math3.distribution.NormalDistribution@532a02d9 (inverse method) [rng=org.apache.commons.rng.core.source32.KISSRandom]: deciles=[-132.15045357848228, -129.16376655472652, -127.0101550807749, -125.16997348318894, -123.45, -121.73002651681107, -119.88984491922511, -117.73623344527348, -114.7495464215177]]</td>
+<td>0.15</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling1:_dataBox-Muller_Gaussian_deviate_rngorg.apache.commons.rng.core.source32.MersenneTwister:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177"></a>testSampling[1: data=Box-Muller Gaussian deviate [rng=org.apache.commons.rng.core.source32.MersenneTwister]: deciles=[-132.15045357848228, -129.16376655472652, -127.0101550807749, -125.16997348318894, -123.45, -121.73002651681107, -119.88984491922511, -117.73623344527348, -114.7495464215177]]</td>
-<td>0.091</td></tr>
+<td>0.165</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling2:_dataorg.apache.commons.math3.distribution.BetaDistribution6e9319f_inverse_method_rngorg.apache.commons.rng.core.source32.ISAACRandom:_deciles0.4298649852990108_0.5207666571732391_0.5865627257895885_0.6414587976096218_0.6906878143109644_0.7371181100755657_0.7829587508743321_0.8307844775627031_0.8857448793044083"></a>testSampling[2: data=org.apache.commons.math3.distribution.BetaDistribution@6e9319f (inverse method) [rng=org.apache.commons.rng.core.source32.ISAACRandom]: deciles=[0.4298649852990108, 0.5207666571732391, 0.5865627257895885, 0.6414587976096218, 0.6906878143109644, 0.7371181100755657, 0.7829587508743321, 0.8307844775627031, 0.8857448793044083]]</td>
-<td>7.846</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling2:_dataGaussian_deviate_Box-Muller_normalized_Gaussian_deviate_rngorg.apache.commons.rng.core.source32.MersenneTwister:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177"></a>testSampling[2: data=Gaussian deviate [Box-Muller normalized Gaussian deviate [rng=org.apache.commons.rng.core.source32.MersenneTwister]]: deciles=[-132.15045357848228, -129.16376655472652, -127.0101550807749, -125.16997348318894, -123.45, -121.73002651681107, -119.88984491922511, -117.73623344527348, -114.7495464215177]]</td>
+<td>0.145</td></tr>
 <tr class="b">
-<td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling3:_dataCheng_Beta_deviate_rngorg.apache.commons.rng.core.source32.MultiplyWithCarry256:_deciles0.4298649852990108_0.5207666571732391_0.5865627257895885_0.6414587976096218_0.6906878143109644_0.7371181100755657_0.7829587508743321_0.8307844775627031_0.8857448793044083"></a>testSampling[3: data=Cheng Beta deviate [rng=org.apache.commons.rng.core.source32.MultiplyWithCarry256]: deciles=[0.4298649852990108, 0.5207666571732391, 0.5865627257895885, 0.6414587976096218, 0.6906878143109644, 0.7371181100755657, 0.7829587508743321, 0.8307844775627031, 0.8857448793044083]]</td>
-<td>0.207</td></tr>
+<td><a href="#org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling3:_dataGaussian_deviate_Box-Muller_with_rejection_normalized_Gaussian_deviate_rngorg.apache.commons.rng.core.source32.MersenneTwister:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177"><img src="images/icon_error_sml.gif" alt="" /></a></td>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling3:_dataGaussian_deviate_Box-Muller_with_rejection_normalized_Gaussian_deviate_rngorg.apache.commons.rng.core.source32.MersenneTwister:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177"></a><a href="#org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling3:_dataGaussian_deviate_Box-Muller_with_rejection_normalized_Gaussian_deviate_rngorg.apache.commons.rng.core.source32.MersenneTwister:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177">testSampling[3: data=Gaussian deviate [Box-Muller (with rejection) normalized Gaussian deviate [rng=org.apache.commons.rng.core.source32.MersenneTwister]]: deciles=[-132.1
 5045357848228, -129.16376655472652, -127.0101550807749, -125.16997348318894, -123.45, -121.73002651681107, -119.88984491922511, -117.73623344527348, -114.7495464215177]]</a>
+<div class="detailToggle" style="display:inline"><a href="javascript:toggleDisplay(&apos;org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling3:_dataGaussian_deviate_Box-Muller_with_rejection_normalized_Gaussian_deviate_rngorg.apache.commons.rng.core.source32.MersenneTwister:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177&apos;);"><span style="display:inline;" id="org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling3:_dataGaussian_deviate_Box-Muller_with_rejection_normalized_Gaussian_deviate_rngorg.apache.commons.rng.core.source32.MersenneTwister:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177off"> + </span><span style="display:none;" id="org.apache.commons.rng.sa
 mpling.distribution.ContinuousSamplerParametricTest.testSampling3:_dataGaussian_deviate_Box-Muller_with_rejection_normalized_Gaussian_deviate_rngorg.apache.commons.rng.core.source32.MersenneTwister:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177on"> - </span>[ Detail ]</a></div></td>
+<td>0.063</td></tr>
+<tr class="a">
+<td></td>
+<td>Gaussian deviate [Box-Muller (with rejection) normalized Gaussian deviate [rng=org.apache.commons.rng.core.source32.MersenneTwister]]: Too many failures for sample size = 20000 (3 out of 50 tests failed, chi2=[22.555000000000003, 27.207, 22.854]</td>
+<td></td></tr>
+<tr class="b">
+<td></td>
+<td>
+<div id="org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling3:_dataGaussian_deviate_Box-Muller_with_rejection_normalized_Gaussian_deviate_rngorg.apache.commons.rng.core.source32.MersenneTwister:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177error" style="display:none;">
+<div>
+<pre>java.lang.AssertionError: Gaussian deviate [Box-Muller (with rejection) normalized Gaussian deviate [rng=org.apache.commons.rng.core.source32.MersenneTwister]]: Too many failures for sample size = 20000 (3 out of 50 tests failed, chi2=[22.555000000000003, 27.207, 22.854]
+	at org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.check(ContinuousSamplerParametricTest.java:127)
+	at org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling(ContinuousSamplerParametricTest.java:53)</pre></div></div></td>
+<td></td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling4:_dataCheng_Beta_deviate_rngorg.apache.commons.rng.core.source32.Well19937a:_deciles0.11425512069559182_0.16921552243729682_0.2170412491256681_0.2628818899244343_0.30931218568903557_0.3585412023903783_0.4134372742104115_0.4792333428267617_0.5701350147009892"></a>testSampling[4: data=Cheng Beta deviate [rng=org.apache.commons.rng.core.source32.Well19937a]: deciles=[0.11425512069559182, 0.16921552243729682, 0.2170412491256681, 0.2628818899244343, 0.30931218568903557, 0.3585412023903783, 0.4134372742104115, 0.4792333428267617, 0.5701350147009892]]</td>
-<td>0.228</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling4:_dataorg.apache.commons.math3.distribution.BetaDistribution611f8234_inverse_method_rngorg.apache.commons.rng.core.source32.ISAACRandom:_deciles0.4298649852990108_0.5207666571732391_0.5865627257895885_0.6414587976096218_0.6906878143109644_0.7371181100755657_0.7829587508743321_0.8307844775627031_0.8857448793044083"></a>testSampling[4: data=org.apache.commons.math3.distribution.BetaDistribution@611f8234 (inverse method) [rng=org.apache.commons.rng.core.source32.ISAACRandom]: deciles=[0.4298649852990108, 0.5207666571732391, 0.5865627257895885, 0.6414587976096218, 0.6906878143109644, 0.7371181100755657, 0.7829587508743321, 0.8307844775627031, 0.8857448793044083]]</td>
+<td>7.736</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling5:_dataCheng_Beta_deviate_rngorg.apache.commons.rng.core.source32.Well512a:_deciles0.26551650009767735_0.6356468907498947_0.8625366976007641_0.9589895646143769_0.9905246158210488_0.998441910135814_0.9998485190527268_0.9999943325699867_0.9999999795328735"></a>testSampling[5: data=Cheng Beta deviate [rng=org.apache.commons.rng.core.source32.Well512a]: deciles=[0.26551650009767735, 0.6356468907498947, 0.8625366976007641, 0.9589895646143769, 0.9905246158210488, 0.998441910135814, 0.9998485190527268, 0.9999943325699867, 0.9999999795328735]]</td>
-<td>0.325</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling5:_dataCheng_Beta_deviate_rngorg.apache.commons.rng.core.source32.MultiplyWithCarry256:_deciles0.4298649852990108_0.5207666571732391_0.5865627257895885_0.6414587976096218_0.6906878143109644_0.7371181100755657_0.7829587508743321_0.8307844775627031_0.8857448793044083"></a>testSampling[5: data=Cheng Beta deviate [rng=org.apache.commons.rng.core.source32.MultiplyWithCarry256]: deciles=[0.4298649852990108, 0.5207666571732391, 0.5865627257895885, 0.6414587976096218, 0.6906878143109644, 0.7371181100755657, 0.7829587508743321, 0.8307844775627031, 0.8857448793044083]]</td>
+<td>0.205</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling6:_dataCheng_Beta_deviate_rngorg.apache.commons.rng.core.source32.Well19937c:_deciles2.0467146508394357E-8_5.667430013258736E-6_1.5148094727328141E-4_0.00155808986418601_0.009475384178951236_0.04101043538562311_0.1374633023992365_0.3643531092501059_0.7344834999023228"></a>testSampling[6: data=Cheng Beta deviate [rng=org.apache.commons.rng.core.source32.Well19937c]: deciles=[2.0467146508394357E-8, 5.667430013258736E-6, 1.5148094727328141E-4, 0.00155808986418601, 0.009475384178951236, 0.04101043538562311, 0.1374633023992365, 0.3643531092501059, 0.7344834999023228]]</td>
-<td>0.354</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling6:_dataCheng_Beta_deviate_rngorg.apache.commons.rng.core.source32.Well19937a:_deciles0.11425512069559182_0.16921552243729682_0.2170412491256681_0.2628818899244343_0.30931218568903557_0.3585412023903783_0.4134372742104115_0.4792333428267617_0.5701350147009892"></a>testSampling[6: data=Cheng Beta deviate [rng=org.apache.commons.rng.core.source32.Well19937a]: deciles=[0.11425512069559182, 0.16921552243729682, 0.2170412491256681, 0.2628818899244343, 0.30931218568903557, 0.3585412023903783, 0.4134372742104115, 0.4792333428267617, 0.5701350147009892]]</td>
+<td>0.226</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling7:_dataorg.apache.commons.math3.distribution.CauchyDistribution72e34f77_inverse_method_rngorg.apache.commons.rng.core.source32.Well19937c:_deciles-13.726575917288638_-6.07071864212028_-3.146441376024124_-1.3391386330480781_0.123_1.5851386330480781_3.3924413760241228_6.316718642120282_13.972575917288637"></a>testSampling[7: data=org.apache.commons.math3.distribution.CauchyDistribution@72e34f77 (inverse method) [rng=org.apache.commons.rng.core.source32.Well19937c]: deciles=[-13.726575917288638, -6.07071864212028, -3.146441376024124, -1.3391386330480781, 0.123, 1.5851386330480781, 3.3924413760241228, 6.316718642120282, 13.972575917288637]]</td>
-<td>0.099</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling7:_dataCheng_Beta_deviate_rngorg.apache.commons.rng.core.source32.Well512a:_deciles0.26551650009767735_0.6356468907498947_0.8625366976007641_0.9589895646143769_0.9905246158210488_0.998441910135814_0.9998485190527268_0.9999943325699867_0.9999999795328735"></a>testSampling[7: data=Cheng Beta deviate [rng=org.apache.commons.rng.core.source32.Well512a]: deciles=[0.26551650009767735, 0.6356468907498947, 0.8625366976007641, 0.9589895646143769, 0.9905246158210488, 0.998441910135814, 0.9998485190527268, 0.9999943325699867, 0.9999999795328735]]</td>
+<td>0.323</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling8:_dataorg.apache.commons.math3.distribution.ChiSquaredDistribution7bf9b098_inverse_method_rngorg.apache.commons.rng.core.source32.Well19937a:_deciles6.303796059584302_7.8073276789530315_9.034276588162736_10.181971378419295_11.340322377426267_12.583837966617532_14.011100168520795_15.811986221909265_18.549347786703265"></a>testSampling[8: data=org.apache.commons.math3.distribution.ChiSquaredDistribution@7bf9b098 (inverse method) [rng=org.apache.commons.rng.core.source32.Well19937a]: deciles=[6.303796059584302, 7.8073276789530315, 9.034276588162736, 10.181971378419295, 11.340322377426267, 12.583837966617532, 14.011100168520795, 15.811986221909265, 18.549347786703265]]</td>
-<td>2.96</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling8:_dataCheng_Beta_deviate_rngorg.apache.commons.rng.core.source32.Well19937c:_deciles2.0467146508394357E-8_5.667430013258736E-6_1.5148094727328141E-4_0.00155808986418601_0.009475384178951236_0.04101043538562311_0.1374633023992365_0.3643531092501059_0.7344834999023228"></a>testSampling[8: data=Cheng Beta deviate [rng=org.apache.commons.rng.core.source32.Well19937c]: deciles=[2.0467146508394357E-8, 5.667430013258736E-6, 1.5148094727328141E-4, 0.00155808986418601, 0.009475384178951236, 0.04101043538562311, 0.1374633023992365, 0.3643531092501059, 0.7344834999023228]]</td>
+<td>0.348</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling9:_dataorg.apache.commons.math3.distribution.ExponentialDistribution389adf1d_inverse_method_rngorg.apache.commons.rng.core.source32.Well44497a:_deciles0.3634937790195007_0.7698452520340235_1.230528556588627_1.762348401992668_2.391357772931811_3.1612030249658347_4.153706174924479_5.552560797897647_7.943918570829458"></a>testSampling[9: data=org.apache.commons.math3.distribution.ExponentialDistribution@389adf1d (inverse method) [rng=org.apache.commons.rng.core.source32.Well44497a]: deciles=[0.3634937790195007, 0.7698452520340235, 1.230528556588627, 1.762348401992668, 2.391357772931811, 3.1612030249658347, 4.153706174924479, 5.552560797897647, 7.943918570829458]]</td>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling9:_dataorg.apache.commons.math3.distribution.CauchyDistribution7bb3a9fe_inverse_method_rngorg.apache.commons.rng.core.source32.Well19937c:_deciles-13.726575917288638_-6.07071864212028_-3.146441376024124_-1.3391386330480781_0.123_1.5851386330480781_3.3924413760241228_6.316718642120282_13.972575917288637"></a>testSampling[9: data=org.apache.commons.math3.distribution.CauchyDistribution@7bb3a9fe (inverse method) [rng=org.apache.commons.rng.core.source32.Well19937c]: deciles=[-13.726575917288638, -6.07071864212028, -3.146441376024124, -1.3391386330480781, 0.123, 1.5851386330480781, 3.3924413760241228, 6.316718642120282, 13.972575917288637]]</td>
 <td>0.096</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling10:_dataAhrens-Dieter_Exponential_deviate_rngorg.apache.commons.rng.core.source32.MersenneTwister:_deciles0.3634937790195007_0.7698452520340235_1.230528556588627_1.762348401992668_2.391357772931811_3.1612030249658347_4.153706174924479_5.552560797897647_7.943918570829458"></a>testSampling[10: data=Ahrens-Dieter Exponential deviate [rng=org.apache.commons.rng.core.source32.MersenneTwister]: deciles=[0.3634937790195007, 0.7698452520340235, 1.230528556588627, 1.762348401992668, 2.391357772931811, 3.1612030249658347, 4.153706174924479, 5.552560797897647, 7.943918570829458]]</td>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling10:_dataorg.apache.commons.math3.distribution.ChiSquaredDistribution7cbee484_inverse_method_rngorg.apache.commons.rng.core.source32.Well19937a:_deciles6.303796059584302_7.8073276789530315_9.034276588162736_10.181971378419295_11.340322377426267_12.583837966617532_14.011100168520795_15.811986221909265_18.549347786703265"></a>testSampling[10: data=org.apache.commons.math3.distribution.ChiSquaredDistribution@7cbee484 (inverse method) [rng=org.apache.commons.rng.core.source32.Well19937a]: deciles=[6.303796059584302, 7.8073276789530315, 9.034276588162736, 10.181971378419295, 11.340322377426267, 12.583837966617532, 14.011100168520795, 15.811986221909265, 18.549347786703265]]</td>
+<td>2.874</td></tr>
+<tr class="b">
+<td><img src="images/icon_success_sml.gif" alt="" /></td>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling11:_dataorg.apache.commons.math3.distribution.ExponentialDistribution7f811d00_inverse_method_rngorg.apache.commons.rng.core.source32.Well44497a:_deciles0.3634937790195007_0.7698452520340235_1.230528556588627_1.762348401992668_2.391357772931811_3.1612030249658347_4.153706174924479_5.552560797897647_7.943918570829458"></a>testSampling[11: data=org.apache.commons.math3.distribution.ExponentialDistribution@7f811d00 (inverse method) [rng=org.apache.commons.rng.core.source32.Well44497a]: deciles=[0.3634937790195007, 0.7698452520340235, 1.230528556588627, 1.762348401992668, 2.391357772931811, 3.1612030249658347, 4.153706174924479, 5.552560797897647, 7.943918570829458]]</td>
+<td>0.081</td></tr>
+<tr class="a">
+<td><img src="images/icon_success_sml.gif" alt="" /></td>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling12:_dataAhrens-Dieter_Exponential_deviate_rngorg.apache.commons.rng.core.source32.MersenneTwister:_deciles0.3634937790195007_0.7698452520340235_1.230528556588627_1.762348401992668_2.391357772931811_3.1612030249658347_4.153706174924479_5.552560797897647_7.943918570829458"></a>testSampling[12: data=Ahrens-Dieter Exponential deviate [rng=org.apache.commons.rng.core.source32.MersenneTwister]: deciles=[0.3634937790195007, 0.7698452520340235, 1.230528556588627, 1.762348401992668, 2.391357772931811, 3.1612030249658347, 4.153706174924479, 5.552560797897647, 7.943918570829458]]</td>
 <td>0.055</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling11:_dataorg.apache.commons.math3.distribution.FDistribution77307458_inverse_method_rngorg.apache.commons.rng.core.source64.MersenneTwister64:_deciles0.25132155910061565_0.40500746322351755_0.5592508211415723_0.7286216166270089_0.926193099510064_1.1709676205859387_1.4985347331834313_1.9937297959199454_2.960534089081168"></a>testSampling[11: data=org.apache.commons.math3.distribution.FDistribution@77307458 (inverse method) [rng=org.apache.commons.rng.core.source64.MersenneTwister64]: deciles=[0.25132155910061565, 0.40500746322351755, 0.5592508211415723, 0.7286216166270089, 0.926193099510064, 1.1709676205859387, 1.4985347331834313, 1.9937297959199454, 2.960534089081168]]</td>
-<td>6.754</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling13:_dataorg.apache.commons.math3.distribution.FDistribution62923ee6_inverse_method_rngorg.apache.commons.rng.core.source64.MersenneTwister64:_deciles0.25132155910061565_0.40500746322351755_0.5592508211415723_0.7286216166270089_0.926193099510064_1.1709676205859387_1.4985347331834313_1.9937297959199454_2.960534089081168"></a>testSampling[13: data=org.apache.commons.math3.distribution.FDistribution@62923ee6 (inverse method) [rng=org.apache.commons.rng.core.source64.MersenneTwister64]: deciles=[0.25132155910061565, 0.40500746322351755, 0.5592508211415723, 0.7286216166270089, 0.926193099510064, 1.1709676205859387, 1.4985347331834313, 1.9937297959199454, 2.960534089081168]]</td>
+<td>6.468</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling12:_dataorg.apache.commons.math3.distribution.GammaDistribution1fc0053e_inverse_method_rngorg.apache.commons.rng.core.source64.SplitMix64:_deciles2.479792175080062_3.6690409762319467_4.747673484788033_5.830553643619743_6.985989902285338_8.287188769839373_9.848098495168854_11.905902912887319_15.19033143843634"></a>testSampling[12: data=org.apache.commons.math3.distribution.GammaDistribution@1fc0053e (inverse method) [rng=org.apache.commons.rng.core.source64.SplitMix64]: deciles=[2.479792175080062, 3.6690409762319467, 4.747673484788033, 5.830553643619743, 6.985989902285338, 8.287188769839373, 9.848098495168854, 11.905902912887319, 15.19033143843634]]</td>
-<td>3.484</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling14:_dataorg.apache.commons.math3.distribution.GammaDistribution4089713_inverse_method_rngorg.apache.commons.rng.core.source64.SplitMix64:_deciles2.479792175080062_3.6690409762319467_4.747673484788033_5.830553643619743_6.985989902285338_8.287188769839373_9.848098495168854_11.905902912887319_15.19033143843634"></a>testSampling[14: data=org.apache.commons.math3.distribution.GammaDistribution@4089713 (inverse method) [rng=org.apache.commons.rng.core.source64.SplitMix64]: deciles=[2.479792175080062, 3.6690409762319467, 4.747673484788033, 5.830553643619743, 6.985989902285338, 8.287188769839373, 9.848098495168854, 11.905902912887319, 15.19033143843634]]</td>
+<td>3.445</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling13:_dataAhrens-Dieter-Marsaglia-Tsang_Gamma_deviate_rngorg.apache.commons.rng.core.source64.XorShift1024Star:_deciles1.66305163919815E-8_4.626552940436175E-6_1.2367119291078265E-4_0.0012731121973517836_0.007779046812527896_0.034320294173031736_0.12241387604818703_0.3857918173560178_1.2172993131610457"></a>testSampling[13: data=Ahrens-Dieter-Marsaglia-Tsang Gamma deviate [rng=org.apache.commons.rng.core.source64.XorShift1024Star]: deciles=[1.66305163919815E-8, 4.626552940436175E-6, 1.2367119291078265E-4, 0.0012731121973517836, 0.007779046812527896, 0.034320294173031736, 0.12241387604818703, 0.3857918173560178, 1.2172993131610457]]</td>
-<td>0.142</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling15:_dataAhrens-Dieter-Marsaglia-Tsang_Gamma_deviate_rngorg.apache.commons.rng.core.source64.XorShift1024Star:_deciles1.66305163919815E-8_4.626552940436175E-6_1.2367119291078265E-4_0.0012731121973517836_0.007779046812527896_0.034320294173031736_0.12241387604818703_0.3857918173560178_1.2172993131610457"></a>testSampling[15: data=Ahrens-Dieter-Marsaglia-Tsang Gamma deviate [rng=org.apache.commons.rng.core.source64.XorShift1024Star]: deciles=[1.66305163919815E-8, 4.626552940436175E-6, 1.2367119291078265E-4, 0.0012731121973517836, 0.007779046812527896, 0.034320294173031736, 0.12241387604818703, 0.3857918173560178, 1.2172993131610457]]</td>
+<td>0.144</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling14:_dataAhrens-Dieter-Marsaglia-Tsang_Gamma_deviate_rngorg.apache.commons.rng.core.source32.Well44497b:_deciles2.479792175080062_3.6690409762319467_4.747673484788033_5.830553643619743_6.985989902285338_8.287188769839373_9.848098495168854_11.905902912887319_15.19033143843634"></a>testSampling[14: data=Ahrens-Dieter-Marsaglia-Tsang Gamma deviate [rng=org.apache.commons.rng.core.source32.Well44497b]: deciles=[2.479792175080062, 3.6690409762319467, 4.747673484788033, 5.830553643619743, 6.985989902285338, 8.287188769839373, 9.848098495168854, 11.905902912887319, 15.19033143843634]]</td>
-<td>0.151</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling16:_dataAhrens-Dieter-Marsaglia-Tsang_Gamma_deviate_rngorg.apache.commons.rng.core.source32.Well44497b:_deciles2.479792175080062_3.6690409762319467_4.747673484788033_5.830553643619743_6.985989902285338_8.287188769839373_9.848098495168854_11.905902912887319_15.19033143843634"></a>testSampling[16: data=Ahrens-Dieter-Marsaglia-Tsang Gamma deviate [rng=org.apache.commons.rng.core.source32.Well44497b]: deciles=[2.479792175080062, 3.6690409762319467, 4.747673484788033, 5.830553643619743, 6.985989902285338, 8.287188769839373, 9.848098495168854, 11.905902912887319, 15.19033143843634]]</td>
+<td>0.12</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling15:_dataorg.apache.commons.math3.distribution.GumbelDistribution290b1b2e_inverse_method_rngorg.apache.commons.rng.core.source32.Well1024a:_deciles-4.662585990765498_-4.618533854425234_-4.58283209134007_-4.549247146669737_-4.514918910768455_-4.477377579972669_-4.4331955567214765_-4.375507381628579_-4.283204818740569"></a>testSampling[15: data=org.apache.commons.math3.distribution.GumbelDistribution@290b1b2e (inverse method) [rng=org.apache.commons.rng.core.source32.Well1024a]: deciles=[-4.662585990765498, -4.618533854425234, -4.58283209134007, -4.549247146669737, -4.514918910768455, -4.477377579972669, -4.4331955567214765, -4.375507381628579, -4.283204818740569]]</td>
-<td>0.101</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling17:_dataorg.apache.commons.math3.distribution.GumbelDistributionf19c9d2_inverse_method_rngorg.apache.commons.rng.core.source32.Well1024a:_deciles-4.662585990765498_-4.618533854425234_-4.58283209134007_-4.549247146669737_-4.514918910768455_-4.477377579972669_-4.4331955567214765_-4.375507381628579_-4.283204818740569"></a>testSampling[17: data=org.apache.commons.math3.distribution.GumbelDistribution@f19c9d2 (inverse method) [rng=org.apache.commons.rng.core.source32.Well1024a]: deciles=[-4.662585990765498, -4.618533854425234, -4.58283209134007, -4.549247146669737, -4.514918910768455, -4.477377579972669, -4.4331955567214765, -4.375507381628579, -4.283204818740569]]</td>
+<td>0.103</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling16:_dataorg.apache.commons.math3.distribution.LaplaceDistribution47874b25_inverse_method_rngorg.apache.commons.rng.core.source32.MultiplyWithCarry256:_deciles3.2871476903690393_7.168771901504733_9.439376506910452_11.050396112640426_12.3_13.549603887359575_15.160623493089547_17.43122809849527_21.312852309630962"></a>testSampling[16: data=org.apache.commons.math3.distribution.LaplaceDistribution@47874b25 (inverse method) [rng=org.apache.commons.rng.core.source32.MultiplyWithCarry256]: deciles=[3.2871476903690393, 7.168771901504733, 9.439376506910452, 11.050396112640426, 12.3, 13.549603887359575, 15.160623493089547, 17.43122809849527, 21.312852309630962]]</td>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling18:_dataorg.apache.commons.math3.distribution.LaplaceDistribution7807ac2c_inverse_method_rngorg.apache.commons.rng.core.source32.MultiplyWithCarry256:_deciles3.2871476903690393_7.168771901504733_9.439376506910452_11.050396112640426_12.3_13.549603887359575_15.160623493089547_17.43122809849527_21.312852309630962"></a>testSampling[18: data=org.apache.commons.math3.distribution.LaplaceDistribution@7807ac2c (inverse method) [rng=org.apache.commons.rng.core.source32.MultiplyWithCarry256]: deciles=[3.2871476903690393, 7.168771901504733, 9.439376506910452, 11.050396112640426, 12.3, 13.549603887359575, 15.160623493089547, 17.43122809849527, 21.312852309630962]]</td>
 <td>0.057</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling17:_dataorg.apache.commons.math3.distribution.LevyDistribution33617539_inverse_method_rngorg.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xedce446814d3b3d9L_33_330658535__Cmres:_0xc5b3cf786c806df7L_33_331932042:_deciles-0.8170952528041721_-0.6352553341129142_-0.3904929024766046_-0.02504817096190437_0.5725630971214772_1.6656775903852206_4.020815044275315_10.74281802508122_47.03136943453277"></a>testSampling[17: data=org.apache.commons.math3.distribution.LevyDistribution@33617539 (inverse method) [rng=org.apache.commons.rng.core.source64.TwoCmres (Cmres: [0xedce446814d3b3d9L, 33, 330658535] + Cmres: [0xc5b3cf786c806df7L, 33, 331932042])]: deciles=[-0.8170952528041721, -0.6352553341129142, -0.3904929024766046, -0.02504817096190437, 0.5725630971214772, 1.6656775903852206, 4.020815044275315, 10.74281802508122, 47.03136943453277]]</td>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling19:_dataorg.apache.commons.math3.distribution.LevyDistributionb91d8c4_inverse_method_rngorg.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xedce446814d3b3d9L_33_330658535__Cmres:_0xc5b3cf786c806df7L_33_331932042:_deciles-0.8170952528041721_-0.6352553341129142_-0.3904929024766046_-0.02504817096190437_0.5725630971214772_1.6656775903852206_4.020815044275315_10.74281802508122_47.03136943453277"></a>testSampling[19: data=org.apache.commons.math3.distribution.LevyDistribution@b91d8c4 (inverse method) [rng=org.apache.commons.rng.core.source64.TwoCmres (Cmres: [0xedce446814d3b3d9L, 33, 330658535] + Cmres: [0xc5b3cf786c806df7L, 33, 331932042])]: deciles=[-0.8170952528041721, -0.6352553341129142, -0.3904929024766046, -0.02504817096190437, 0.5725630971214772, 1.6656775903852206, 4.020815044275315, 10.74281802508122, 47.03136943453277]]</td>
 <td>0.116</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling18:_dataorg.apache.commons.math3.distribution.LogNormalDistribution2c177f9e_inverse_method_rngorg.apache.commons.rng.core.source32.KISSRandom:_deciles1.3047423741890427E10_1.377531335439489E10_1.4325241767709757E10_1.481249572853897E10_1.528289398995876E10_1.5768230620199125E10_1.6304565919075457E10_1.6955465382121353E10_1.7901376802718613E10"></a>testSampling[18: data=org.apache.commons.math3.distribution.LogNormalDistribution@2c177f9e (inverse method) [rng=org.apache.commons.rng.core.source32.KISSRandom]: deciles=[1.3047423741890427E10, 1.377531335439489E10, 1.4325241767709757E10, 1.481249572853897E10, 1.528289398995876E10, 1.5768230620199125E10, 1.6304565919075457E10, 1.6955465382121353E10, 1.7901376802718613E10]]</td>
-<td>4.886</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling20:_dataorg.apache.commons.math3.distribution.LogNormalDistribution4b6166aa_inverse_method_rngorg.apache.commons.rng.core.source32.KISSRandom:_deciles1.3047423741890427E10_1.377531335439489E10_1.4325241767709757E10_1.481249572853897E10_1.528289398995876E10_1.5768230620199125E10_1.6304565919075457E10_1.6955465382121353E10_1.7901376802718613E10"></a>testSampling[20: data=org.apache.commons.math3.distribution.LogNormalDistribution@4b6166aa (inverse method) [rng=org.apache.commons.rng.core.source32.KISSRandom]: deciles=[1.3047423741890427E10, 1.377531335439489E10, 1.4325241767709757E10, 1.481249572853897E10, 1.528289398995876E10, 1.5768230620199125E10, 1.6304565919075457E10, 1.6955465382121353E10, 1.7901376802718613E10]]</td>
+<td>4.856</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling19:_dataBox-Muller_Log_Normal_Box-Muller_Gaussian_deviate_rngorg.apache.commons.rng.core.source64.XorShift1024Star:_deciles1.3047423741890427E10_1.377531335439489E10_1.4325241767709757E10_1.481249572853897E10_1.528289398995876E10_1.5768230620199125E10_1.6304565919075457E10_1.6955465382121353E10_1.7901376802718613E10"></a>testSampling[19: data=Box-Muller Log Normal [Box-Muller Gaussian deviate [rng=org.apache.commons.rng.core.source64.XorShift1024Star]]: deciles=[1.3047423741890427E10, 1.377531335439489E10, 1.4325241767709757E10, 1.481249572853897E10, 1.528289398995876E10, 1.5768230620199125E10, 1.6304565919075457E10, 1.6955465382121353E10, 1.7901376802718613E10]]</td>
-<td>0.127</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling21:_dataBox-Muller_Log_Normal_Box-Muller_normalized_Gaussian_deviate_rngorg.apache.commons.rng.core.source64.XorShift1024Star:_deciles1.3047423741890427E10_1.377531335439489E10_1.4325241767709757E10_1.481249572853897E10_1.528289398995876E10_1.5768230620199125E10_1.6304565919075457E10_1.6955465382121353E10_1.7901376802718613E10"></a>testSampling[21: data=Box-Muller Log Normal [Box-Muller normalized Gaussian deviate [rng=org.apache.commons.rng.core.source64.XorShift1024Star]]: deciles=[1.3047423741890427E10, 1.377531335439489E10, 1.4325241767709757E10, 1.481249572853897E10, 1.528289398995876E10, 1.5768230620199125E10, 1.6304565919075457E10, 1.6955465382121353E10, 1.7901376802718613E10]]</td>
+<td>0.121</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling20:_dataorg.apache.commons.math3.distribution.LogisticDistribution5db4c359_inverse_method_rngorg.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xdd91bbb8ab9e0e65L_31_115147686__Cmres:_0xcb039dc328bbc40fL_31_8815805:_deciles-140.79210191518277_-134.39386250923593_-130.14118011845503_-126.65511970297342_-123.456_-120.25688029702658_-116.77081988154497_-112.51813749076406_-106.11989808481724"></a>testSampling[20: data=org.apache.commons.math3.distribution.LogisticDistribution@5db4c359 (inverse method) [rng=org.apache.commons.rng.core.source64.TwoCmres (Cmres: [0xdd91bbb8ab9e0e65L, 31, 115147686] + Cmres: [0xcb039dc328bbc40fL, 31, 8815805])]: deciles=[-140.79210191518277, -134.39386250923593, -130.14118011845503, -126.65511970297342, -123.456, -120.25688029702658, -116.77081988154497, -112.51813749076406, -106.11989808481724]]</td>
-<td>0.054</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling22:_dataMarsaglia_Log_Normal_Box-Muller_with_rejection_normalized_Gaussian_deviate_rngorg.apache.commons.rng.core.source64.MersenneTwister64:_deciles1.3047423741890427E10_1.377531335439489E10_1.4325241767709757E10_1.481249572853897E10_1.528289398995876E10_1.5768230620199125E10_1.6304565919075457E10_1.6955465382121353E10_1.7901376802718613E10"></a>testSampling[22: data=Marsaglia Log Normal [Box-Muller (with rejection) normalized Gaussian deviate [rng=org.apache.commons.rng.core.source64.MersenneTwister64]]: deciles=[1.3047423741890427E10, 1.377531335439489E10, 1.4325241767709757E10, 1.481249572853897E10, 1.528289398995876E10, 1.5768230620199125E10, 1.6304565919075457E10, 1.6955465382121353E10, 1.7901376802718613E10]]</td>
+<td>0.092</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling21:_dataorg.apache.commons.math3.distribution.NakagamiDistribution209775a9_inverse_method_rngorg.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xd8d98c13bebe26c9L_33_21922933__Cmres:_0x7b69342c0790221dL_31_373734283:_deciles4.482607522632576_4.599888957111267_4.685103750648354_4.758337770387297_4.827133236038792_4.896257594193904_4.97057191031466_5.058007621517846_5.180077757633529"></a>testSampling[21: data=org.apache.commons.math3.distribution.NakagamiDistribution@209775a9 (inverse method) [rng=org.apache.commons.rng.core.source64.TwoCmres (Cmres: [0xd8d98c13bebe26c9L, 33, 21922933] + Cmres: [0x7b69342c0790221dL, 31, 373734283])]: deciles=[4.482607522632576, 4.599888957111267, 4.685103750648354, 4.758337770387297, 4.827133236038792, 4.896257594193904, 4.97057191031466, 5.058007621517846, 5.180077757633529]]</td>
-<td>8.051</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling23:_dataorg.apache.commons.math3.distribution.LogisticDistributiona77614d_inverse_method_rngorg.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xdd91bbb8ab9e0e65L_31_115147686__Cmres:_0xcb039dc328bbc40fL_31_8815805:_deciles-140.79210191518277_-134.39386250923593_-130.14118011845503_-126.65511970297342_-123.456_-120.25688029702658_-116.77081988154497_-112.51813749076406_-106.11989808481724"></a>testSampling[23: data=org.apache.commons.math3.distribution.LogisticDistribution@a77614d (inverse method) [rng=org.apache.commons.rng.core.source64.TwoCmres (Cmres: [0xdd91bbb8ab9e0e65L, 31, 115147686] + Cmres: [0xcb039dc328bbc40fL, 31, 8815805])]: deciles=[-140.79210191518277, -134.39386250923593, -130.14118011845503, -126.65511970297342, -123.456, -120.25688029702658, -116.77081988154497, -112.51813749076406, -106.11989808481724]]</td>
+<td>0.055</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling22:_dataorg.apache.commons.math3.distribution.ParetoDistribution18e7143f_inverse_method_rngorg.apache.commons.rng.core.source64.TwoCmres_Cmres:_0x11eab77f808cf641L_32_106120225__Cmres:_0x0f1505c780688cb5L_33_192641895:_deciles55.074313383177326_143.04583109008863_422.11049795027907_1472.1250669034735_6450.716651619402_39349.60019433535_404957.85425759235_1.0824440136808794E7_2.9776288373121433E9"></a>testSampling[22: data=org.apache.commons.math3.distribution.ParetoDistribution@18e7143f (inverse method) [rng=org.apache.commons.rng.core.source64.TwoCmres (Cmres: [0x11eab77f808cf641L, 32, 106120225] + Cmres: [0x0f1505c780688cb5L, 33, 192641895])]: deciles=[55.074313383177326, 143.04583109008863, 422.11049795027907, 1472.1250669034735, 6450.716651619402, 39349.60019433535, 404957.85425759235, 1.0824440136808794E7, 2.9776288373121433E9]]</td>
-<td>2.538</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling24:_dataorg.apache.commons.math3.distribution.NakagamiDistribution4fd4cae3_inverse_method_rngorg.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xd8d98c13bebe26c9L_33_21922933__Cmres:_0x7b69342c0790221dL_31_373734283:_deciles4.482607522632576_4.599888957111267_4.685103750648354_4.758337770387297_4.827133236038792_4.896257594193904_4.97057191031466_5.058007621517846_5.180077757633529"></a>testSampling[24: data=org.apache.commons.math3.distribution.NakagamiDistribution@4fd4cae3 (inverse method) [rng=org.apache.commons.rng.core.source64.TwoCmres (Cmres: [0xd8d98c13bebe26c9L, 33, 21922933] + Cmres: [0x7b69342c0790221dL, 31, 373734283])]: deciles=[4.482607522632576, 4.599888957111267, 4.685103750648354, 4.758337770387297, 4.827133236038792, 4.896257594193904, 4.97057191031466, 5.058007621517846, 5.180077757633529]]</td>
+<td>7.899</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling23:_dataInverse_method_for_Pareto_distribution_rngorg.apache.commons.rng.core.source64.XorShift1024Star:_deciles55.074313383177326_143.04583109008863_422.11049795027907_1472.1250669034735_6450.716651619402_39349.60019433535_404957.85425759235_1.0824440136808794E7_2.9776288373121433E9"></a>testSampling[23: data=[Inverse method for Pareto distribution rng=org.apache.commons.rng.core.source64.XorShift1024Star]: deciles=[55.074313383177326, 143.04583109008863, 422.11049795027907, 1472.1250669034735, 6450.716651619402, 39349.60019433535, 404957.85425759235, 1.0824440136808794E7, 2.9776288373121433E9]]</td>
-<td>0.091</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling25:_dataorg.apache.commons.math3.distribution.ParetoDistribution4a067c25_inverse_method_rngorg.apache.commons.rng.core.source64.TwoCmres_Cmres:_0x11eab77f808cf641L_32_106120225__Cmres:_0x0f1505c780688cb5L_33_192641895:_deciles55.074313383177326_143.04583109008863_422.11049795027907_1472.1250669034735_6450.716651619402_39349.60019433535_404957.85425759235_1.0824440136808794E7_2.9776288373121433E9"></a>testSampling[25: data=org.apache.commons.math3.distribution.ParetoDistribution@4a067c25 (inverse method) [rng=org.apache.commons.rng.core.source64.TwoCmres (Cmres: [0x11eab77f808cf641L, 32, 106120225] + Cmres: [0x0f1505c780688cb5L, 33, 192641895])]: deciles=[55.074313383177326, 143.04583109008863, 422.11049795027907, 1472.1250669034735, 6450.716651619402, 39349.60019433535, 404957.85425759235, 1.0824440136808794E7, 2.9776288373121433E9]]</td>
+<td>2.487</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling24:_dataorg.apache.commons.math3.distribution.TDistributionf9b7332_inverse_method_rngorg.apache.commons.rng.core.source32.ISAACRandom:_deciles-4.337458510976919_-1.6368180621921147_-0.8027617784262737_-0.3471538436435526_0.0_0.3471538436435524_0.8027617784262743_1.6368180621921147_4.33745851097692"></a>testSampling[24: data=org.apache.commons.math3.distribution.TDistribution@f9b7332 (inverse method) [rng=org.apache.commons.rng.core.source32.ISAACRandom]: deciles=[-4.337458510976919, -1.6368180621921147, -0.8027617784262737, -0.3471538436435526, 0.0, 0.3471538436435524, 0.8027617784262743, 1.6368180621921147, 4.33745851097692]]</td>
-<td>7.537</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling26:_dataInverse_method_for_Pareto_distribution_rngorg.apache.commons.rng.core.source64.XorShift1024Star:_deciles55.074313383177326_143.04583109008863_422.11049795027907_1472.1250669034735_6450.716651619402_39349.60019433535_404957.85425759235_1.0824440136808794E7_2.9776288373121433E9"></a>testSampling[26: data=[Inverse method for Pareto distribution rng=org.apache.commons.rng.core.source64.XorShift1024Star]: deciles=[55.074313383177326, 143.04583109008863, 422.11049795027907, 1472.1250669034735, 6450.716651619402, 39349.60019433535, 404957.85425759235, 1.0824440136808794E7, 2.9776288373121433E9]]</td>
+<td>0.097</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling25:_dataorg.apache.commons.math3.distribution.TriangularDistribution74cec793_inverse_method_rngorg.apache.commons.rng.core.source32.MersenneTwister:_deciles-0.7157400974039997_-0.6951578658357382_-0.6793645640805788_-0.6660501948079993_-0.65432_-0.6425898051920007_-0.6292754359194213_-0.6134821341642617_-0.5928999025960003"></a>testSampling[25: data=org.apache.commons.math3.distribution.TriangularDistribution@74cec793 (inverse method) [rng=org.apache.commons.rng.core.source32.MersenneTwister]: deciles=[-0.7157400974039997, -0.6951578658357382, -0.6793645640805788, -0.6660501948079993, -0.65432, -0.6425898051920007, -0.6292754359194213, -0.6134821341642617, -0.5928999025960003]]</td>
-<td>0.044</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling27:_dataorg.apache.commons.math3.distribution.TDistributiona1217f9_inverse_method_rngorg.apache.commons.rng.core.source32.ISAACRandom:_deciles-4.337458510976919_-1.6368180621921147_-0.8027617784262737_-0.3471538436435526_0.0_0.3471538436435524_0.8027617784262743_1.6368180621921147_4.33745851097692"></a>testSampling[27: data=org.apache.commons.math3.distribution.TDistribution@a1217f9 (inverse method) [rng=org.apache.commons.rng.core.source32.ISAACRandom]: deciles=[-4.337458510976919, -1.6368180621921147, -0.8027617784262737, -0.3471538436435526, 0.0, 0.3471538436435524, 0.8027617784262743, 1.6368180621921147, 4.33745851097692]]</td>
+<td>7.723</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling26:_dataorg.apache.commons.math3.distribution.UniformRealDistribution6fefce9e_inverse_method_rngorg.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xedce446814d3b3d9L_33_330658535__Cmres:_0xc5b3cf786c806df7L_33_331932042:_deciles-0.9122000000000001_-0.7264_-0.5406000000000001_-0.3548_-0.16900000000000004_0.016799999999999926_0.2025999999999999_0.3884000000000001_0.5742"></a>testSampling[26: data=org.apache.commons.math3.distribution.UniformRealDistribution@6fefce9e (inverse method) [rng=org.apache.commons.rng.core.source64.TwoCmres (Cmres: [0xedce446814d3b3d9L, 33, 330658535] + Cmres: [0xc5b3cf786c806df7L, 33, 331932042])]: deciles=[-0.9122000000000001, -0.7264, -0.5406000000000001, -0.3548, -0.16900000000000004, 0.016799999999999926, 0.2025999999999999, 0.3884000000000001, 0.5742]]</td>
-<td>0.027</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling28:_dataorg.apache.commons.math3.distribution.TriangularDistribution3bde62ff_inverse_method_rngorg.apache.commons.rng.core.source32.MersenneTwister:_deciles-0.7157400974039997_-0.6951578658357382_-0.6793645640805788_-0.6660501948079993_-0.65432_-0.6425898051920007_-0.6292754359194213_-0.6134821341642617_-0.5928999025960003"></a>testSampling[28: data=org.apache.commons.math3.distribution.TriangularDistribution@3bde62ff (inverse method) [rng=org.apache.commons.rng.core.source32.MersenneTwister]: deciles=[-0.7157400974039997, -0.6951578658357382, -0.6793645640805788, -0.6660501948079993, -0.65432, -0.6425898051920007, -0.6292754359194213, -0.6134821341642617, -0.5928999025960003]]</td>
+<td>0.043</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling27:_dataUniform_deviate_rngorg.apache.commons.rng.core.source64.MersenneTwister64:_deciles-0.9122000000000001_-0.7264_-0.5406000000000001_-0.3548_-0.16900000000000004_0.016799999999999926_0.2025999999999999_0.3884000000000001_0.5742"></a>testSampling[27: data=Uniform deviate [rng=org.apache.commons.rng.core.source64.MersenneTwister64]: deciles=[-0.9122000000000001, -0.7264, -0.5406000000000001, -0.3548, -0.16900000000000004, 0.016799999999999926, 0.2025999999999999, 0.3884000000000001, 0.5742]]</td>
-<td>0.025</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling29:_dataorg.apache.commons.math3.distribution.UniformRealDistribution523424b5_inverse_method_rngorg.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xedce446814d3b3d9L_33_330658535__Cmres:_0xc5b3cf786c806df7L_33_331932042:_deciles-0.9122000000000001_-0.7264_-0.5406000000000001_-0.3548_-0.16900000000000004_0.016799999999999926_0.2025999999999999_0.3884000000000001_0.5742"></a>testSampling[29: data=org.apache.commons.math3.distribution.UniformRealDistribution@523424b5 (inverse method) [rng=org.apache.commons.rng.core.source64.TwoCmres (Cmres: [0xedce446814d3b3d9L, 33, 330658535] + Cmres: [0xc5b3cf786c806df7L, 33, 331932042])]: deciles=[-0.9122000000000001, -0.7264, -0.5406000000000001, -0.3548, -0.16900000000000004, 0.016799999999999926, 0.2025999999999999, 0.3884000000000001, 0.5742]]</td>
+<td>0.027</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling28:_dataorg.apache.commons.math3.distribution.WeibullDistribution4f8969b0_inverse_method_rngorg.apache.commons.rng.core.source32.Well44497b:_deciles98.43317964182971_98.54204367035726_98.61014372612742_98.66233178797697_98.70669752962779_98.74728354901744_98.78700693061647_98.82925155118646_98.88140176820396"></a>testSampling[28: data=org.apache.commons.math3.distribution.WeibullDistribution@4f8969b0 (inverse method) [rng=org.apache.commons.rng.core.source32.Well44497b]: deciles=[98.43317964182971, 98.54204367035726, 98.61014372612742, 98.66233178797697, 98.70669752962779, 98.74728354901744, 98.78700693061647, 98.82925155118646, 98.88140176820396]]</td>
-<td>0.248</td></tr></table></div>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling30:_dataUniform_deviate_rngorg.apache.commons.rng.core.source64.MersenneTwister64:_deciles-0.9122000000000001_-0.7264_-0.5406000000000001_-0.3548_-0.16900000000000004_0.016799999999999926_0.2025999999999999_0.3884000000000001_0.5742"></a>testSampling[30: data=Uniform deviate [rng=org.apache.commons.rng.core.source64.MersenneTwister64]: deciles=[-0.9122000000000001, -0.7264, -0.5406000000000001, -0.3548, -0.16900000000000004, 0.016799999999999926, 0.2025999999999999, 0.3884000000000001, 0.5742]]</td>
+<td>0.025</td></tr>
+<tr class="b">
+<td><img src="images/icon_success_sml.gif" alt="" /></td>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling31:_dataorg.apache.commons.math3.distribution.WeibullDistribution2baa8d82_inverse_method_rngorg.apache.commons.rng.core.source32.Well44497b:_deciles98.43317964182971_98.54204367035726_98.61014372612742_98.66233178797697_98.70669752962779_98.74728354901744_98.78700693061647_98.82925155118646_98.88140176820396"></a>testSampling[31: data=org.apache.commons.math3.distribution.WeibullDistribution@2baa8d82 (inverse method) [rng=org.apache.commons.rng.core.source32.Well44497b]: deciles=[98.43317964182971, 98.54204367035726, 98.61014372612742, 98.66233178797697, 98.70669752962779, 98.74728354901744, 98.78700693061647, 98.82925155118646, 98.88140176820396]]</td>
+<td>0.241</td></tr></table></div>
 <div class="section">
 <h3><a name="CollectionSamplerTest"></a>CollectionSamplerTest</h3><a name="org.apache.commons.rng.samplingCollectionSamplerTest"></a>
 <table border="1" class="bodyTable">
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.CollectionSamplerTest.testSamplePrecondition"></a>testSamplePrecondition</td>
-<td>0.031</td></tr>
+<td>0.036</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.CollectionSamplerTest.testSampleTrivial"></a>testSampleTrivial</td>
-<td>0</td></tr></table></div>
+<td>0.001</td></tr></table></div>
 <div class="section">
 <h3><a name="PermutationSamplerTest"></a>PermutationSamplerTest</h3><a name="org.apache.commons.rng.samplingPermutationSamplerTest"></a>
 <table border="1" class="bodyTable">
@@ -632,7 +662,7 @@ function toggleDisplay(elementId) {
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.PermutationSamplerTest.testSampleChiSquareTest"></a>testSampleChiSquareTest</td>
-<td>0.004</td></tr>
+<td>0.002</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.PermutationSamplerTest.testNaturalZero"></a>testNaturalZero</td>
@@ -645,13 +675,27 @@ function toggleDisplay(elementId) {
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.PermutationSamplerTest.testSampleTrivial"></a>testSampleTrivial</td>
 <td>0</td></tr></table></div><br /></div>
+<div class="section">

[... 25 lines stripped ...]


Mime
View raw message