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From er...@apache.org
Subject svn commit: r1001531 [5/8] - in /websites/production/commons/content/proper/commons-rng: ./ commons-rng-client-api/ commons-rng-core/ commons-rng-core/jacoco/ commons-rng-examples/ commons-rng-jmh/ commons-rng-sampling/ commons-rng-sampling/jacoco/ com...
Date Wed, 23 Nov 2016 14:41:27 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 Wed Nov 23 14:41:27 2016
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 <td>0</td>
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 <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>
@@ -296,7 +296,7 @@ function toggleDisplay(elementId) {
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 <td><a href="#org.apache.commons.rng.sampling.distribution">org.apache.commons.rng.sampling.distribution</a></td>
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 <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>
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 <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>
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 <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>
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 <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">
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 <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">ContinuousSamplerParametricTest</a></td>
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 <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>
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 <td><a name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling1:_dataorg.apache.commons.rng.sampling.distribution.DiscreteSamplersList15a709816_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.rng.sampling.distribution.DiscreteSamplersList$1@5a709816 (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>
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 3, 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>
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 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[12: 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>0.236</td></tr></table></div>
+<td>0.233</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.rng.sampling.distribution.ContinuousSamplersList131024624_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.rng.sampling.distribution.ContinuousSamplersList$1@31024624 (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>0.122</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling0:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList161861a29_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.rng.sampling.distribution.ContinuousSamplersList$1@61861a29 (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>0.134</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>0.106</td></tr>
+<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.testSampling2:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList125bcd0c7_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.rng.sampling.distribution.ContinuousSamplersList$1@25bcd0c7 (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>7.554</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling2:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList131024624_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.rng.sampling.distribution.ContinuousSamplersList$1@31024624 (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>7.894</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>0.209</td></tr>
+<td>0.216</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>0.234</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.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>0.324</td></tr>
+<td>0.328</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>0.357</td></tr>
+<td>0.413</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.ContinuousSamplerParametricTest.testSampling7:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList132cb636e_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.rng.sampling.distribution.ContinuousSamplersList$1@32cb636e (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>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling7:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList125bcd0c7_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.rng.sampling.distribution.ContinuousSamplersList$1@25bcd0c7 (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>0.097</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.rng.sampling.distribution.ContinuousSamplersList163cd604c_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.rng.sampling.distribution.ContinuousSamplersList$1@63cd604c (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>2.811</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling8:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList132cb636e_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.rng.sampling.distribution.ContinuousSamplersList$1@32cb636e (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>2.833</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.rng.sampling.distribution.ContinuousSamplersList140dd3977_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.rng.sampling.distribution.ContinuousSamplersList$1@40dd3977 (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>0.08</td></tr>
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+<td>0.082</td></tr>
 <tr class="a">
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 <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>
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 <tr class="b">
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-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling11:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList13a4e343_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.rng.sampling.distribution.ContinuousSamplersList$1@3a4e343 (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>6.351</td></tr>
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+<td>6.485</td></tr>
 <tr class="a">
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-<td>3.35</td></tr>
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+<td>3.487</td></tr>
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 <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>
@@ -522,74 +522,74 @@ function toggleDisplay(elementId) {
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-<td>0.15</td></tr>
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 <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.rng.sampling.distribution.ContinuousSamplersList162dae245_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.rng.sampling.distribution.ContinuousSamplersList$1@62dae245 (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>0.104</td></tr>
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+<td>0.1</td></tr>
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 <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.rng.sampling.distribution.ContinuousSamplersList14b6579e8_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.rng.sampling.distribution.ContinuousSamplersList$1@4b6579e8 (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>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling16:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList162dae245_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.rng.sampling.distribution.ContinuousSamplersList$1@62dae245 (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>0.058</td></tr>
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 <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.rng.sampling.distribution.ContinuousSamplersList16fff253c_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.rng.sampling.distribution.ContinuousSamplersList$1@6fff253c (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>0.115</td></tr>
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+<td>0.118</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
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-<td>4.758</td></tr>
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+<td>4.924</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>0.124</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
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-<td>0.054</td></tr>
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+<td>0.055</td></tr>
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-<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling21:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList13954d008_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.rng.sampling.distribution.ContinuousSamplersList$1@3954d008 (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>7.856</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling21:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList1591e58fa_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.rng.sampling.distribution.ContinuousSamplersList$1@591e58fa (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>7.874</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.rng.sampling.distribution.ContinuousSamplersList12f94c4db_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.rng.sampling.distribution.ContinuousSamplersList$1@2f94c4db (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>2.372</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling22:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList13954d008_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.rng.sampling.distribution.ContinuousSamplersList$1@3954d008 (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>2.455</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>0.09</td></tr>
+<td>0.092</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.rng.sampling.distribution.ContinuousSamplersList1593e824f_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.rng.sampling.distribution.ContinuousSamplersList$1@593e824f (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>7.736</td></tr>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling24:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList12f94c4db_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.rng.sampling.distribution.ContinuousSamplersList$1@2f94c4db (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>7.649</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.rng.sampling.distribution.ContinuousSamplersList172ccd81a_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.rng.sampling.distribution.ContinuousSamplersList$1@72ccd81a (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.testSampling25:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList1593e824f_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.rng.sampling.distribution.ContinuousSamplersList$1@593e824f (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>0.045</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.ContinuousSamplerParametricTest.testSampling26:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList16d8792db_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.rng.sampling.distribution.ContinuousSamplersList$1@6d8792db (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><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling26:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList172ccd81a_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.rng.sampling.distribution.ContinuousSamplersList$1@72ccd81a (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>0.028</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>0.024</td></tr>
+<td>0.025</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.rng.sampling.distribution.ContinuousSamplersList164bc21ac_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.rng.sampling.distribution.ContinuousSamplersList$1@64bc21ac (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>0.239</td></tr></table></div>
+<td><a name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling28:_dataorg.apache.commons.rng.sampling.distribution.ContinuousSamplersList16d8792db_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.rng.sampling.distribution.ContinuousSamplersList$1@6d8792db (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>0.238</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>0.043</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a name="TC_org.apache.commons.rng.sampling.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">
@@ -628,7 +628,7 @@ 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</td></tr>
+<td>0.004</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>
@@ -636,7 +636,7 @@ 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.testNatural"></a>testNatural</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.PermutationSamplerTest.testSampleTrivial"></a>testSampleTrivial</td>



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