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websites/production/commons/content/proper/commons-math/testapidocs/src-html/org/apache/commons/math3/stat/descriptive/rank/PSquarePercentileTest.html
==============================================================================
---
websites/production/commons/content/proper/commons-math/testapidocs/src-html/org/apache/commons/math3/stat/descriptive/rank/PSquarePercentileTest.html
(added)
+++
websites/production/commons/content/proper/commons-math/testapidocs/src-html/org/apache/commons/math3/stat/descriptive/rank/PSquarePercentileTest.html
Sat Oct 18 20:10:38 2014
@@ -0,0 +1,832 @@
+<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
"http://www.w3.org/TR/html4/loose.dtd";>
+<html lang="fr">
+<head>
+<title>Source code</title>
+<link rel="stylesheet" type="text/css"
href="../../../../../../../../stylesheet.css" title="Style">
+</head>
+<body>
+<div class="sourceContainer">
+<pre><span class="sourceLineNo">001</span>/*<a name="line.1"></a>
+<span class="sourceLineNo">002</span> * Licensed to the Apache Software
Foundation (ASF) under one or more<a name="line.2"></a>
+<span class="sourceLineNo">003</span> * contributor license agreements. See
the NOTICE file distributed with<a name="line.3"></a>
+<span class="sourceLineNo">004</span> * this work for additional information
regarding copyright ownership.<a name="line.4"></a>
+<span class="sourceLineNo">005</span> * The ASF licenses this file to You
under the Apache License, Version 2.0<a name="line.5"></a>
+<span class="sourceLineNo">006</span> * (the "License"); you may not use this
file except in compliance with<a name="line.6"></a>
+<span class="sourceLineNo">007</span> * the License. You may obtain a copy of
the License at<a name="line.7"></a>
+<span class="sourceLineNo">008</span> *<a name="line.8"></a>
+<span class="sourceLineNo">009</span> *
http://www.apache.org/licenses/LICENSE-2.0<a name="line.9"></a>
+<span class="sourceLineNo">010</span> *<a name="line.10"></a>
+<span class="sourceLineNo">011</span> * Unless required by applicable law or
agreed to in writing, software<a name="line.11"></a>
+<span class="sourceLineNo">012</span> * distributed under the License is
distributed on an "AS IS" BASIS,<a name="line.12"></a>
+<span class="sourceLineNo">013</span> * WITHOUT WARRANTIES OR CONDITIONS OF
ANY KIND, either express or implied.<a name="line.13"></a>
+<span class="sourceLineNo">014</span> * See the License for the specific
language governing permissions and<a name="line.14"></a>
+<span class="sourceLineNo">015</span> * limitations under the License.<a
name="line.15"></a>
+<span class="sourceLineNo">016</span> */<a name="line.16"></a>
+<span class="sourceLineNo">017</span>package
org.apache.commons.math3.stat.descriptive.rank;<a name="line.17"></a>
+<span class="sourceLineNo">018</span><a name="line.18"></a>
+<span class="sourceLineNo">019</span>import java.io.IOException;<a
name="line.19"></a>
+<span class="sourceLineNo">020</span>import java.util.ArrayList;<a
name="line.20"></a>
+<span class="sourceLineNo">021</span>import java.util.Arrays;<a
name="line.21"></a>
+<span class="sourceLineNo">022</span>import java.util.HashSet;<a
name="line.22"></a>
+<span class="sourceLineNo">023</span>import java.util.Iterator;<a
name="line.23"></a>
+<span class="sourceLineNo">024</span>import java.util.LinkedHashSet;<a
name="line.24"></a>
+<span class="sourceLineNo">025</span>import java.util.Set;<a
name="line.25"></a>
+<span class="sourceLineNo">026</span><a name="line.26"></a>
+<span class="sourceLineNo">027</span>import
org.apache.commons.math3.distribution.LogNormalDistribution;<a
name="line.27"></a>
+<span class="sourceLineNo">028</span>import
org.apache.commons.math3.distribution.NormalDistribution;<a name="line.28"></a>
+<span class="sourceLineNo">029</span>import
org.apache.commons.math3.distribution.RealDistribution;<a name="line.29"></a>
+<span class="sourceLineNo">030</span>import
org.apache.commons.math3.exception.MathIllegalArgumentException;<a
name="line.30"></a>
+<span class="sourceLineNo">031</span>import
org.apache.commons.math3.exception.OutOfRangeException;<a name="line.31"></a>
+<span class="sourceLineNo">032</span>import
org.apache.commons.math3.random.RandomGenerator;<a name="line.32"></a>
+<span class="sourceLineNo">033</span>import
org.apache.commons.math3.random.Well19937c;<a name="line.33"></a>
+<span class="sourceLineNo">034</span>import
org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic;<a
name="line.34"></a>
+<span class="sourceLineNo">035</span>import
org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatisticAbstractTest;<a
name="line.35"></a>
+<span class="sourceLineNo">036</span>import
org.apache.commons.math3.stat.descriptive.UnivariateStatistic;<a
name="line.36"></a>
+<span class="sourceLineNo">037</span>import
org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers;<a
name="line.37"></a>
+<span class="sourceLineNo">038</span>import
org.apache.commons.math3.util.FastMath;<a name="line.38"></a>
+<span class="sourceLineNo">039</span>import org.junit.Assert;<a
name="line.39"></a>
+<span class="sourceLineNo">040</span>import org.junit.Test;<a
name="line.40"></a>
+<span class="sourceLineNo">041</span><a name="line.41"></a>
+<span class="sourceLineNo">042</span>/**<a name="line.42"></a>
+<span class="sourceLineNo">043</span> * Test cases for the {@link
PSquarePercentile} class which naturally extends<a name="line.43"></a>
+<span class="sourceLineNo">044</span> * {@link
StorelessUnivariateStatisticAbstractTest}. <a name="line.44"></a>
+<span class="sourceLineNo">045</span> */<a name="line.45"></a>
+<span class="sourceLineNo">046</span>public class PSquarePercentileTest
extends<a name="line.46"></a>
+<span class="sourceLineNo">047</span>
StorelessUnivariateStatisticAbstractTest {<a name="line.47"></a>
+<span class="sourceLineNo">048</span><a name="line.48"></a>
+<span class="sourceLineNo">049</span> protected double percentile5 =
8.2299d;<a name="line.49"></a>
+<span class="sourceLineNo">050</span> protected double percentile95 =
16.72195;// 20.82d; this is approximation<a name="line.50"></a>
+<span class="sourceLineNo">051</span> protected double tolerance =
10E-12;<a name="line.51"></a>
+<span class="sourceLineNo">052</span> <a name="line.52"></a>
+<span class="sourceLineNo">053</span> private final RandomGenerator
randomGenerator = new Well19937c(1000);<a name="line.53"></a>
+<span class="sourceLineNo">054</span><a name="line.54"></a>
+<span class="sourceLineNo">055</span> @Override<a name="line.55"></a>
+<span class="sourceLineNo">056</span> public double getTolerance() {<a
name="line.56"></a>
+<span class="sourceLineNo">057</span> return 1.0e-2;// tolerance limit
changed as this is an approximation<a name="line.57"></a>
+<span class="sourceLineNo">058</span> // algorithm and also gets
accurate after few tens of<a name="line.58"></a>
+<span class="sourceLineNo">059</span> // samples<a name="line.59"></a>
+<span class="sourceLineNo">060</span> }<a name="line.60"></a>
+<span class="sourceLineNo">061</span><a name="line.61"></a>
+<span class="sourceLineNo">062</span> /**<a name="line.62"></a>
+<span class="sourceLineNo">063</span> * Verifies that copied statistics
remain equal to originals when<a name="line.63"></a>
+<span class="sourceLineNo">064</span> * incremented the same way by making
the copy after a majority of elements<a name="line.64"></a>
+<span class="sourceLineNo">065</span> * are incremented<a
name="line.65"></a>
+<span class="sourceLineNo">066</span> */<a name="line.66"></a>
+<span class="sourceLineNo">067</span> @Test<a name="line.67"></a>
+<span class="sourceLineNo">068</span> public void
testCopyConsistencyWithInitialMostElements() {<a name="line.68"></a>
+<span class="sourceLineNo">069</span><a name="line.69"></a>
+<span class="sourceLineNo">070</span> StorelessUnivariateStatistic
master =<a name="line.70"></a>
+<span class="sourceLineNo">071</span>
(StorelessUnivariateStatistic) getUnivariateStatistic();<a name="line.71"></a>
+<span class="sourceLineNo">072</span><a name="line.72"></a>
+<span class="sourceLineNo">073</span> StorelessUnivariateStatistic
replica = null;<a name="line.73"></a>
+<span class="sourceLineNo">074</span><a name="line.74"></a>
+<span class="sourceLineNo">075</span> // select a portion of testArray
till 75 % of the length to load first<a name="line.75"></a>
+<span class="sourceLineNo">076</span> long index = FastMath.round(0.75
* testArray.length);<a name="line.76"></a>
+<span class="sourceLineNo">077</span><a name="line.77"></a>
+<span class="sourceLineNo">078</span> // Put first half in master and
copy master to replica<a name="line.78"></a>
+<span class="sourceLineNo">079</span> master.incrementAll(testArray, 0,
(int) index);<a name="line.79"></a>
+<span class="sourceLineNo">080</span> replica = master.copy();<a
name="line.80"></a>
+<span class="sourceLineNo">081</span><a name="line.81"></a>
+<span class="sourceLineNo">082</span> // Check same<a
name="line.82"></a>
+<span class="sourceLineNo">083</span>
Assert.assertTrue(replica.equals(master));<a name="line.83"></a>
+<span class="sourceLineNo">084</span>
Assert.assertTrue(master.equals(replica));<a name="line.84"></a>
+<span class="sourceLineNo">085</span><a name="line.85"></a>
+<span class="sourceLineNo">086</span> // Now add second part to both
and check again<a name="line.86"></a>
+<span class="sourceLineNo">087</span> master.incrementAll(testArray,
(int) index,<a name="line.87"></a>
+<span class="sourceLineNo">088</span> (int) (testArray.length -
index));<a name="line.88"></a>
+<span class="sourceLineNo">089</span> replica.incrementAll(testArray,
(int) index,<a name="line.89"></a>
+<span class="sourceLineNo">090</span> (int) (testArray.length -
index));<a name="line.90"></a>
+<span class="sourceLineNo">091</span>
Assert.assertTrue(replica.equals(master));<a name="line.91"></a>
+<span class="sourceLineNo">092</span>
Assert.assertTrue(master.equals(replica));<a name="line.92"></a>
+<span class="sourceLineNo">093</span> }<a name="line.93"></a>
+<span class="sourceLineNo">094</span><a name="line.94"></a>
+<span class="sourceLineNo">095</span> /**<a name="line.95"></a>
+<span class="sourceLineNo">096</span> * Verifies that copied statistics
remain equal to originals when<a name="line.96"></a>
+<span class="sourceLineNo">097</span> * incremented the same way by way of
copying original after just a few<a name="line.97"></a>
+<span class="sourceLineNo">098</span> * elements are incremented<a
name="line.98"></a>
+<span class="sourceLineNo">099</span> */<a name="line.99"></a>
+<span class="sourceLineNo">100</span> @Test<a name="line.100"></a>
+<span class="sourceLineNo">101</span> public void
testCopyConsistencyWithInitialFirstFewElements() {<a name="line.101"></a>
+<span class="sourceLineNo">102</span><a name="line.102"></a>
+<span class="sourceLineNo">103</span> StorelessUnivariateStatistic
master =<a name="line.103"></a>
+<span class="sourceLineNo">104</span>
(StorelessUnivariateStatistic) getUnivariateStatistic();<a name="line.104"></a>
+<span class="sourceLineNo">105</span><a name="line.105"></a>
+<span class="sourceLineNo">106</span> StorelessUnivariateStatistic
replica = null;<a name="line.106"></a>
+<span class="sourceLineNo">107</span><a name="line.107"></a>
+<span class="sourceLineNo">108</span> // select a portion of testArray
which is 10% of the length to load<a name="line.108"></a>
+<span class="sourceLineNo">109</span> // first<a name="line.109"></a>
+<span class="sourceLineNo">110</span> long index = FastMath.round(0.1 *
testArray.length);<a name="line.110"></a>
+<span class="sourceLineNo">111</span><a name="line.111"></a>
+<span class="sourceLineNo">112</span> // Put first half in master and
copy master to replica<a name="line.112"></a>
+<span class="sourceLineNo">113</span> master.incrementAll(testArray, 0,
(int) index);<a name="line.113"></a>
+<span class="sourceLineNo">114</span> replica = master.copy();<a
name="line.114"></a>
+<span class="sourceLineNo">115</span><a name="line.115"></a>
+<span class="sourceLineNo">116</span> // Check same<a
name="line.116"></a>
+<span class="sourceLineNo">117</span>
Assert.assertTrue(replica.equals(master));<a name="line.117"></a>
+<span class="sourceLineNo">118</span>
Assert.assertTrue(master.equals(replica));<a name="line.118"></a>
+<span class="sourceLineNo">119</span> // Now add second part to both
and check again<a name="line.119"></a>
+<span class="sourceLineNo">120</span> master.incrementAll(testArray,
(int) index,<a name="line.120"></a>
+<span class="sourceLineNo">121</span> (int) (testArray.length -
index));<a name="line.121"></a>
+<span class="sourceLineNo">122</span> replica.incrementAll(testArray,
(int) index,<a name="line.122"></a>
+<span class="sourceLineNo">123</span> (int) (testArray.length -
index));<a name="line.123"></a>
+<span class="sourceLineNo">124</span>
Assert.assertTrue(master.equals(master));<a name="line.124"></a>
+<span class="sourceLineNo">125</span>
Assert.assertTrue(replica.equals(replica));<a name="line.125"></a>
+<span class="sourceLineNo">126</span>
Assert.assertTrue(replica.equals(master));<a name="line.126"></a>
+<span class="sourceLineNo">127</span>
Assert.assertTrue(master.equals(replica));<a name="line.127"></a>
+<span class="sourceLineNo">128</span> }<a name="line.128"></a>
+<span class="sourceLineNo">129</span><a name="line.129"></a>
+<span class="sourceLineNo">130</span> @Test(expected =
MathIllegalArgumentException.class)<a name="line.130"></a>
+<span class="sourceLineNo">131</span> public void testNullListInMarkers()
{<a name="line.131"></a>
+<span class="sourceLineNo">132</span> // In case of null list Markers
cannot be instantiated..is geting<a name="line.132"></a>
+<span class="sourceLineNo">133</span> // verified<a name="line.133"></a>
+<span class="sourceLineNo">134</span> // new Markers(null, 0,
PSquarePercentile.newEstimator());<a name="line.134"></a>
+<span class="sourceLineNo">135</span>
PSquarePercentile.newMarkers(null, 0);<a name="line.135"></a>
+<span class="sourceLineNo">136</span><a name="line.136"></a>
+<span class="sourceLineNo">137</span> }<a name="line.137"></a>
+<span class="sourceLineNo">138</span><a name="line.138"></a>
+<span class="sourceLineNo">139</span> @Test<a name="line.139"></a>
+<span class="sourceLineNo">140</span> public void
testMiscellaniousFunctionsInMarkers() {<a name="line.140"></a>
+<span class="sourceLineNo">141</span> double p = 0.5;<a
name="line.141"></a>
+<span class="sourceLineNo">142</span> PSquareMarkers markers =<a
name="line.142"></a>
+<span class="sourceLineNo">143</span>
PSquarePercentile.newMarkers(<a name="line.143"></a>
+<span class="sourceLineNo">144</span> Arrays.asList(new
Double[] { 0.02, 1.18, 9.15, 21.91,<a name="line.144"></a>
+<span class="sourceLineNo">145</span> 38.62 }),
p);<a name="line.145"></a>
+<span class="sourceLineNo">146</span> // Markers equality<a
name="line.146"></a>
+<span class="sourceLineNo">147</span>
Assert.assertTrue(markers.equals(markers));<a name="line.147"></a>
+<span class="sourceLineNo">148</span>
Assert.assertFalse(markers.equals(null));<a name="line.148"></a>
+<span class="sourceLineNo">149</span>
Assert.assertFalse(markers.equals(new String()));<a name="line.149"></a>
+<span class="sourceLineNo">150</span> // Check for null markers test
during equality testing<a name="line.150"></a>
+<span class="sourceLineNo">151</span> // Until 5 elements markers are
not initialized<a name="line.151"></a>
+<span class="sourceLineNo">152</span> PSquarePercentile p1 = new
PSquarePercentile(), p2 =<a name="line.152"></a>
+<span class="sourceLineNo">153</span> new
PSquarePercentile();<a name="line.153"></a>
+<span class="sourceLineNo">154</span> Assert.assertEquals(p1, p2);<a
name="line.154"></a>
+<span class="sourceLineNo">155</span> p1.evaluate(new double[] { 1.0,
2.0, 3.0 });<a name="line.155"></a>
+<span class="sourceLineNo">156</span> p2.evaluate(new double[] { 1.0,
2.0, 3.0 });<a name="line.156"></a>
+<span class="sourceLineNo">157</span> Assert.assertEquals(p1, p2);<a
name="line.157"></a>
+<span class="sourceLineNo">158</span> // Move p2 alone with more values
just to make sure markers are not null<a name="line.158"></a>
+<span class="sourceLineNo">159</span> // for p2<a name="line.159"></a>
+<span class="sourceLineNo">160</span> p2.incrementAll(new double[] {
5.0, 7.0, 11.0 });<a name="line.160"></a>
+<span class="sourceLineNo">161</span>
Assert.assertFalse(p1.equals(p2));<a name="line.161"></a>
+<span class="sourceLineNo">162</span>
Assert.assertFalse(p2.equals(p1));<a name="line.162"></a>
+<span class="sourceLineNo">163</span> // Next add different data to p1
to make number of elements match and<a name="line.163"></a>
+<span class="sourceLineNo">164</span> // markers are not null however
actual results will vary<a name="line.164"></a>
+<span class="sourceLineNo">165</span> p1.incrementAll(new double[] {
20, 21, 22, 23 });<a name="line.165"></a>
+<span class="sourceLineNo">166</span>
Assert.assertFalse(p1.equals(p2));// though markers are non null, N<a
name="line.166"></a>
+<span class="sourceLineNo">167</span> // matches, results wont<a
name="line.167"></a>
+<span class="sourceLineNo">168</span><a name="line.168"></a>
+<span class="sourceLineNo">169</span> }<a name="line.169"></a>
+<span class="sourceLineNo">170</span><a name="line.170"></a>
+<span class="sourceLineNo">171</span> @Test(expected =
OutOfRangeException.class)<a name="line.171"></a>
+<span class="sourceLineNo">172</span> public void testMarkersOORLow() {<a
name="line.172"></a>
+<span class="sourceLineNo">173</span> PSquarePercentile.newMarkers(<a
name="line.173"></a>
+<span class="sourceLineNo">174</span> Arrays.asList(new
Double[] { 0.02, 1.18, 9.15, 21.91, 38.62 }),<a name="line.174"></a>
+<span class="sourceLineNo">175</span> 0.5).estimate(0);<a
name="line.175"></a>
+<span class="sourceLineNo">176</span> }<a name="line.176"></a>
+<span class="sourceLineNo">177</span><a name="line.177"></a>
+<span class="sourceLineNo">178</span> @Test(expected =
OutOfRangeException.class)<a name="line.178"></a>
+<span class="sourceLineNo">179</span> public void testMarkersOORHigh() {<a
name="line.179"></a>
+<span class="sourceLineNo">180</span> PSquarePercentile.newMarkers(<a
name="line.180"></a>
+<span class="sourceLineNo">181</span> Arrays.asList(new
Double[] { 0.02, 1.18, 9.15, 21.91, 38.62 }),<a name="line.181"></a>
+<span class="sourceLineNo">182</span> 0.5).estimate(5);<a
name="line.182"></a>
+<span class="sourceLineNo">183</span> }<a name="line.183"></a>
+<span class="sourceLineNo">184</span><a name="line.184"></a>
+<span class="sourceLineNo">185</span> @Test<a name="line.185"></a>
+<span class="sourceLineNo">186</span> public void testMarkers2() {<a
name="line.186"></a>
+<span class="sourceLineNo">187</span> double p = 0.5;<a
name="line.187"></a>
+<span class="sourceLineNo">188</span> PSquareMarkers markers =<a
name="line.188"></a>
+<span class="sourceLineNo">189</span>
PSquarePercentile.newMarkers(<a name="line.189"></a>
+<span class="sourceLineNo">190</span> Arrays.asList(new
Double[] { 0.02, 1.18, 9.15, 21.91,<a name="line.190"></a>
+<span class="sourceLineNo">191</span> 38.62 }),
p);<a name="line.191"></a>
+<span class="sourceLineNo">192</span><a name="line.192"></a>
+<span class="sourceLineNo">193</span> PSquareMarkers markersNew =<a
name="line.193"></a>
+<span class="sourceLineNo">194</span>
PSquarePercentile.newMarkers(<a name="line.194"></a>
+<span class="sourceLineNo">195</span> Arrays.asList(new
Double[] { 0.02, 1.18, 9.15, 21.91,<a name="line.195"></a>
+<span class="sourceLineNo">196</span> 38.62 }),
p);<a name="line.196"></a>
+<span class="sourceLineNo">197</span><a name="line.197"></a>
+<span class="sourceLineNo">198</span>
Assert.assertTrue(markers.equals(markersNew));<a name="line.198"></a>
+<span class="sourceLineNo">199</span> // If just one element of markers
got changed then its still false.<a name="line.199"></a>
+<span class="sourceLineNo">200</span>
markersNew.processDataPoint(39);<a name="line.200"></a>
+<span class="sourceLineNo">201</span>
Assert.assertFalse(markers.equals(markersNew));<a name="line.201"></a>
+<span class="sourceLineNo">202</span><a name="line.202"></a>
+<span class="sourceLineNo">203</span> }<a name="line.203"></a>
+<span class="sourceLineNo">204</span><a name="line.204"></a>
+<span class="sourceLineNo">205</span> @Test<a name="line.205"></a>
+<span class="sourceLineNo">206</span> public void testHashCodeInMarkers()
{<a name="line.206"></a>
+<span class="sourceLineNo">207</span> PSquarePercentile p = new
PSquarePercentile(95);<a name="line.207"></a>
+<span class="sourceLineNo">208</span> PSquarePercentile p2 = new
PSquarePercentile(95);<a name="line.208"></a>
+<span class="sourceLineNo">209</span> Set<PSquarePercentile> s =
new HashSet<PSquarePercentile>();<a name="line.209"></a>
+<span class="sourceLineNo">210</span> s.add(p);<a name="line.210"></a>
+<span class="sourceLineNo">211</span> s.add(p2);<a name="line.211"></a>
+<span class="sourceLineNo">212</span> Assert.assertEquals(1,
s.size());<a name="line.212"></a>
+<span class="sourceLineNo">213</span> Assert.assertEquals(p,
s.iterator().next());<a name="line.213"></a>
+<span class="sourceLineNo">214</span> double[] d =<a
name="line.214"></a>
+<span class="sourceLineNo">215</span> new double[] { 95.1772,
95.1567, 95.1937, 95.1959, 95.1442,<a name="line.215"></a>
+<span class="sourceLineNo">216</span> 95.0610, 95.1591,
95.1195, 95.1772, 95.0925, 95.1990,<a name="line.216"></a>
+<span class="sourceLineNo">217</span> 95.1682 };<a
name="line.217"></a>
+<span class="sourceLineNo">218</span> Assert.assertEquals(95.1981,
p.evaluate(d), 1.0e-2); // change<a name="line.218"></a>
+<span class="sourceLineNo">219</span> Assert.assertEquals(95.1981,
p2.evaluate(d), 1.0e-2); // change<a name="line.219"></a>
+<span class="sourceLineNo">220</span> s.clear();<a name="line.220"></a>
+<span class="sourceLineNo">221</span> s.add(p);<a name="line.221"></a>
+<span class="sourceLineNo">222</span> s.add(p2);<a name="line.222"></a>
+<span class="sourceLineNo">223</span> Assert.assertEquals(1,
s.size());<a name="line.223"></a>
+<span class="sourceLineNo">224</span> Assert.assertEquals(p,
s.iterator().next());<a name="line.224"></a>
+<span class="sourceLineNo">225</span><a name="line.225"></a>
+<span class="sourceLineNo">226</span> PSquareMarkers m1 =<a
name="line.226"></a>
+<span class="sourceLineNo">227</span>
PSquarePercentile.newMarkers(<a name="line.227"></a>
+<span class="sourceLineNo">228</span> Arrays.asList(new
Double[] { 95.1772, 95.1567, 95.1937,<a name="line.228"></a>
+<span class="sourceLineNo">229</span> 95.1959,
95.1442, 95.0610, 95.1591, 95.1195,<a name="line.229"></a>
+<span class="sourceLineNo">230</span> 95.1772,
95.0925, 95.1990, 95.1682 }), 0.0);<a name="line.230"></a>
+<span class="sourceLineNo">231</span> PSquareMarkers m2 =<a
name="line.231"></a>
+<span class="sourceLineNo">232</span>
PSquarePercentile.newMarkers(<a name="line.232"></a>
+<span class="sourceLineNo">233</span> Arrays.asList(new
Double[] { 95.1772, 95.1567, 95.1937,<a name="line.233"></a>
+<span class="sourceLineNo">234</span> 95.1959,
95.1442, 95.0610, 95.1591, 95.1195,<a name="line.234"></a>
+<span class="sourceLineNo">235</span> 95.1772,
95.0925, 95.1990, 95.1682 }), 0.0);<a name="line.235"></a>
+<span class="sourceLineNo">236</span>
Assert.assertTrue(m1.equals(m2));<a name="line.236"></a>
+<span class="sourceLineNo">237</span> Set<PSquareMarkers>
setMarkers = new LinkedHashSet<PSquareMarkers>();<a name="line.237"></a>
+<span class="sourceLineNo">238</span>
Assert.assertTrue(setMarkers.add(m1));<a name="line.238"></a>
+<span class="sourceLineNo">239</span>
Assert.assertFalse(setMarkers.add(m2));<a name="line.239"></a>
+<span class="sourceLineNo">240</span> Assert.assertEquals(1,
setMarkers.size());<a name="line.240"></a>
+<span class="sourceLineNo">241</span><a name="line.241"></a>
+<span class="sourceLineNo">242</span> PSquareMarkers mThis =<a
name="line.242"></a>
+<span class="sourceLineNo">243</span>
PSquarePercentile.newMarkers(<a name="line.243"></a>
+<span class="sourceLineNo">244</span> Arrays.asList(new
Double[] { 195.1772, 195.1567,<a name="line.244"></a>
+<span class="sourceLineNo">245</span> 195.1937,
195.1959, 95.1442, 195.0610,<a name="line.245"></a>
+<span class="sourceLineNo">246</span> 195.1591,
195.1195, 195.1772, 95.0925, 95.1990,<a name="line.246"></a>
+<span class="sourceLineNo">247</span> 195.1682
}), 0.50);<a name="line.247"></a>
+<span class="sourceLineNo">248</span> PSquareMarkers mThat =<a
name="line.248"></a>
+<span class="sourceLineNo">249</span>
PSquarePercentile.newMarkers(<a name="line.249"></a>
+<span class="sourceLineNo">250</span> Arrays.asList(new
Double[] { 95.1772, 95.1567, 95.1937,<a name="line.250"></a>
+<span class="sourceLineNo">251</span> 95.1959,
95.1442, 95.0610, 95.1591, 95.1195,<a name="line.251"></a>
+<span class="sourceLineNo">252</span> 95.1772,
95.0925, 95.1990, 95.1682 }), 0.50);<a name="line.252"></a>
+<span class="sourceLineNo">253</span>
Assert.assertTrue(mThis.equals(mThis));<a name="line.253"></a>
+<span class="sourceLineNo">254</span>
Assert.assertFalse(mThis.equals(mThat));<a name="line.254"></a>
+<span class="sourceLineNo">255</span> String s1="";<a
name="line.255"></a>
+<span class="sourceLineNo">256</span>
Assert.assertFalse(mThis.equals(s1));<a name="line.256"></a>
+<span class="sourceLineNo">257</span> for (int i = 0; i <
testArray.length; i++) {<a name="line.257"></a>
+<span class="sourceLineNo">258</span>
mThat.processDataPoint(testArray[i]);<a name="line.258"></a>
+<span class="sourceLineNo">259</span> }<a name="line.259"></a>
+<span class="sourceLineNo">260</span> setMarkers.add(mThat);<a
name="line.260"></a>
+<span class="sourceLineNo">261</span> setMarkers.add(mThis);<a
name="line.261"></a>
+<span class="sourceLineNo">262</span>
Assert.assertTrue(mThat.equals(mThat));<a name="line.262"></a>
+<span class="sourceLineNo">263</span>
Assert.assertTrue(setMarkers.contains(mThat));<a name="line.263"></a>
+<span class="sourceLineNo">264</span>
Assert.assertTrue(setMarkers.contains(mThis));<a name="line.264"></a>
+<span class="sourceLineNo">265</span> Assert.assertEquals(3,
setMarkers.size());<a name="line.265"></a>
+<span class="sourceLineNo">266</span> Iterator<PSquareMarkers>
iterator=setMarkers.iterator();<a name="line.266"></a>
+<span class="sourceLineNo">267</span> Assert.assertEquals(m1,
iterator.next());<a name="line.267"></a>
+<span class="sourceLineNo">268</span> Assert.assertEquals(mThat,
iterator.next());<a name="line.268"></a>
+<span class="sourceLineNo">269</span> Assert.assertEquals(mThis,
iterator.next());<a name="line.269"></a>
+<span class="sourceLineNo">270</span> }<a name="line.270"></a>
+<span class="sourceLineNo">271</span><a name="line.271"></a>
+<span class="sourceLineNo">272</span> @Test(expected =
OutOfRangeException.class)<a name="line.272"></a>
+<span class="sourceLineNo">273</span> public void
testMarkersWithLowerIndex() {<a name="line.273"></a>
+<span class="sourceLineNo">274</span> PSquareMarkers mThat =<a
name="line.274"></a>
+<span class="sourceLineNo">275</span>
PSquarePercentile.newMarkers(<a name="line.275"></a>
+<span class="sourceLineNo">276</span> Arrays.asList(new
Double[] { 95.1772, 95.1567, 95.1937,<a name="line.276"></a>
+<span class="sourceLineNo">277</span> 95.1959,
95.1442, 95.0610, 95.1591, 95.1195,<a name="line.277"></a>
+<span class="sourceLineNo">278</span> 95.1772,
95.0925, 95.1990, 95.1682 }), 0.50);<a name="line.278"></a>
+<span class="sourceLineNo">279</span> for (int i = 0; i <
testArray.length; i++) {<a name="line.279"></a>
+<span class="sourceLineNo">280</span>
mThat.processDataPoint(testArray[i]);<a name="line.280"></a>
+<span class="sourceLineNo">281</span> }<a name="line.281"></a>
+<span class="sourceLineNo">282</span> mThat.estimate(0);<a
name="line.282"></a>
+<span class="sourceLineNo">283</span> }<a name="line.283"></a>
+<span class="sourceLineNo">284</span><a name="line.284"></a>
+<span class="sourceLineNo">285</span> @Test(expected =
OutOfRangeException.class)<a name="line.285"></a>
+<span class="sourceLineNo">286</span> public void
testMarkersWithHigherIndex() {<a name="line.286"></a>
+<span class="sourceLineNo">287</span> PSquareMarkers mThat =<a
name="line.287"></a>
+<span class="sourceLineNo">288</span>
PSquarePercentile.newMarkers(<a name="line.288"></a>
+<span class="sourceLineNo">289</span> Arrays.asList(new
Double[] { 95.1772, 95.1567, 95.1937,<a name="line.289"></a>
+<span class="sourceLineNo">290</span> 95.1959,
95.1442, 95.0610, 95.1591, 95.1195,<a name="line.290"></a>
+<span class="sourceLineNo">291</span> 95.1772,
95.0925, 95.1990, 95.1682 }), 0.50);<a name="line.291"></a>
+<span class="sourceLineNo">292</span> for (int i = 0; i <
testArray.length; i++) {<a name="line.292"></a>
+<span class="sourceLineNo">293</span>
mThat.processDataPoint(testArray[i]);<a name="line.293"></a>
+<span class="sourceLineNo">294</span> }<a name="line.294"></a>
+<span class="sourceLineNo">295</span> mThat.estimate(6);<a
name="line.295"></a>
+<span class="sourceLineNo">296</span> }<a name="line.296"></a>
+<span class="sourceLineNo">297</span><a name="line.297"></a>
+<span class="sourceLineNo">298</span> @Test(expected =
OutOfRangeException.class)<a name="line.298"></a>
+<span class="sourceLineNo">299</span> public void
testMarkerHeightWithLowerIndex() {<a name="line.299"></a>
+<span class="sourceLineNo">300</span> PSquareMarkers mThat =<a
name="line.300"></a>
+<span class="sourceLineNo">301</span>
PSquarePercentile.newMarkers(<a name="line.301"></a>
+<span class="sourceLineNo">302</span> Arrays.asList(new
Double[] { 95.1772, 95.1567, 95.1937,<a name="line.302"></a>
+<span class="sourceLineNo">303</span> 95.1959,
95.1442, 95.0610, 95.1591, 95.1195,<a name="line.303"></a>
+<span class="sourceLineNo">304</span> 95.1772,
95.0925, 95.1990, 95.1682 }), 0.50);<a name="line.304"></a>
+<span class="sourceLineNo">305</span> mThat.height(0);<a
name="line.305"></a>
+<span class="sourceLineNo">306</span> }<a name="line.306"></a>
+<span class="sourceLineNo">307</span><a name="line.307"></a>
+<span class="sourceLineNo">308</span> @Test(expected =
OutOfRangeException.class)<a name="line.308"></a>
+<span class="sourceLineNo">309</span> public void
testMarkerHeightWithHigherIndex() {<a name="line.309"></a>
+<span class="sourceLineNo">310</span> PSquareMarkers mThat =<a
name="line.310"></a>
+<span class="sourceLineNo">311</span>
PSquarePercentile.newMarkers(<a name="line.311"></a>
+<span class="sourceLineNo">312</span> Arrays.asList(new
Double[] { 95.1772, 95.1567, 95.1937,<a name="line.312"></a>
+<span class="sourceLineNo">313</span> 95.1959,
95.1442, 95.0610, 95.1591, 95.1195,<a name="line.313"></a>
+<span class="sourceLineNo">314</span> 95.1772,
95.0925, 95.1990, 95.1682 }), 0.50);<a name="line.314"></a>
+<span class="sourceLineNo">315</span> mThat.height(6);<a
name="line.315"></a>
+<span class="sourceLineNo">316</span> }<a name="line.316"></a>
+<span class="sourceLineNo">317</span><a name="line.317"></a>
+<span class="sourceLineNo">318</span> @Test<a name="line.318"></a>
+<span class="sourceLineNo">319</span> public void
testPSquaredEqualsAndMin() {<a name="line.319"></a>
+<span class="sourceLineNo">320</span> PSquarePercentile ptile = new
PSquarePercentile(0);<a name="line.320"></a>
+<span class="sourceLineNo">321</span> Assert.assertEquals(ptile,
ptile);<a name="line.321"></a>
+<span class="sourceLineNo">322</span>
Assert.assertFalse(ptile.equals(null));<a name="line.322"></a>
+<span class="sourceLineNo">323</span>
Assert.assertFalse(ptile.equals(new String()));<a name="line.323"></a>
+<span class="sourceLineNo">324</span> // Just to check if there is no
data get result for zeroth and 100th<a name="line.324"></a>
+<span class="sourceLineNo">325</span> // ptile returns NAN<a
name="line.325"></a>
+<span class="sourceLineNo">326</span>
Assert.assertTrue(Double.isNaN(ptile.getResult()));<a name="line.326"></a>
+<span class="sourceLineNo">327</span>
Assert.assertTrue(Double.isNaN(new PSquarePercentile(100).getResult()));<a
name="line.327"></a>
+<span class="sourceLineNo">328</span><a name="line.328"></a>
+<span class="sourceLineNo">329</span> double[] d = new double[] { 1, 3,
2, 4, 9, 10, 11 };<a name="line.329"></a>
+<span class="sourceLineNo">330</span> ptile.evaluate(d);<a
name="line.330"></a>
+<span class="sourceLineNo">331</span> Assert.assertEquals(ptile,
ptile);<a name="line.331"></a>
+<span class="sourceLineNo">332</span> Assert.assertEquals(1d,
ptile.getResult(), 1e-02);// this calls min<a name="line.332"></a>
+<span class="sourceLineNo">333</span> }<a name="line.333"></a>
+<span class="sourceLineNo">334</span><a name="line.334"></a>
+<span class="sourceLineNo">335</span> @Test<a name="line.335"></a>
+<span class="sourceLineNo">336</span> public void testString() {<a
name="line.336"></a>
+<span class="sourceLineNo">337</span> PSquarePercentile ptile = new
PSquarePercentile(95);<a name="line.337"></a>
+<span class="sourceLineNo">338</span>
Assert.assertNotNull(ptile.toString());<a name="line.338"></a>
+<span class="sourceLineNo">339</span> ptile.increment(1);<a
name="line.339"></a>
+<span class="sourceLineNo">340</span> ptile.increment(2);<a
name="line.340"></a>
+<span class="sourceLineNo">341</span> ptile.increment(3);<a
name="line.341"></a>
+<span class="sourceLineNo">342</span>
Assert.assertNotNull(ptile.toString());<a name="line.342"></a>
+<span class="sourceLineNo">343</span>
Assert.assertEquals(expectedValue(), ptile.evaluate(testArray),<a
name="line.343"></a>
+<span class="sourceLineNo">344</span> getTolerance());<a
name="line.344"></a>
+<span class="sourceLineNo">345</span>
Assert.assertNotNull(ptile.toString());<a name="line.345"></a>
+<span class="sourceLineNo">346</span> }<a name="line.346"></a>
+<span class="sourceLineNo">347</span><a name="line.347"></a>
+<span class="sourceLineNo">348</span> @Override<a name="line.348"></a>
+<span class="sourceLineNo">349</span> public UnivariateStatistic
getUnivariateStatistic() {<a name="line.349"></a>
+<span class="sourceLineNo">350</span> PSquarePercentile ptile = new
PSquarePercentile(95);<a name="line.350"></a>
+<span class="sourceLineNo">351</span> //
Assert.assertNull(ptile.markers());<a name="line.351"></a>
+<span class="sourceLineNo">352</span> return ptile;<a
name="line.352"></a>
+<span class="sourceLineNo">353</span> }<a name="line.353"></a>
+<span class="sourceLineNo">354</span><a name="line.354"></a>
+<span class="sourceLineNo">355</span> @Override<a name="line.355"></a>
+<span class="sourceLineNo">356</span> public double expectedValue() {<a
name="line.356"></a>
+<span class="sourceLineNo">357</span> return this.percentile95;<a
name="line.357"></a>
+<span class="sourceLineNo">358</span> }<a name="line.358"></a>
+<span class="sourceLineNo">359</span><a name="line.359"></a>
+<span class="sourceLineNo">360</span> @Test<a name="line.360"></a>
+<span class="sourceLineNo">361</span> public void testHighPercentile() {<a
name="line.361"></a>
+<span class="sourceLineNo">362</span> double[] d = new double[] { 1, 2,
3 };<a name="line.362"></a>
+<span class="sourceLineNo">363</span> PSquarePercentile p = new
PSquarePercentile(75.0);<a name="line.363"></a>
+<span class="sourceLineNo">364</span> Assert.assertEquals(2,
p.evaluate(d), 1.0e-5);<a name="line.364"></a>
+<span class="sourceLineNo">365</span> PSquarePercentile p95 = new
PSquarePercentile();<a name="line.365"></a>
+<span class="sourceLineNo">366</span> Assert.assertEquals(2,
p95.evaluate(d), 1.0e-5);<a name="line.366"></a>
+<span class="sourceLineNo">367</span> }<a name="line.367"></a>
+<span class="sourceLineNo">368</span><a name="line.368"></a>
+<span class="sourceLineNo">369</span> @Test<a name="line.369"></a>
+<span class="sourceLineNo">370</span> public void testLowPercentile() {<a
name="line.370"></a>
+<span class="sourceLineNo">371</span> double[] d = new double[] { 0, 1
};<a name="line.371"></a>
+<span class="sourceLineNo">372</span> PSquarePercentile p = new
PSquarePercentile(25.0);<a name="line.372"></a>
+<span class="sourceLineNo">373</span> Assert.assertEquals(0d,
p.evaluate(d), Double.MIN_VALUE);<a name="line.373"></a>
+<span class="sourceLineNo">374</span> }<a name="line.374"></a>
+<span class="sourceLineNo">375</span><a name="line.375"></a>
+<span class="sourceLineNo">376</span> @Test<a name="line.376"></a>
+<span class="sourceLineNo">377</span> public void testPercentile() {<a
name="line.377"></a>
+<span class="sourceLineNo">378</span> double[] d = new double[] { 1, 3,
2, 4 };<a name="line.378"></a>
+<span class="sourceLineNo">379</span> PSquarePercentile p = new
PSquarePercentile(30d);<a name="line.379"></a>
+<span class="sourceLineNo">380</span> Assert.assertEquals(1.0,
p.evaluate(d), 1.0e-5);<a name="line.380"></a>
+<span class="sourceLineNo">381</span> p = new PSquarePercentile(25);<a
name="line.381"></a>
+<span class="sourceLineNo">382</span> Assert.assertEquals(1.0,
p.evaluate(d), 1.0e-5);<a name="line.382"></a>
+<span class="sourceLineNo">383</span> p = new PSquarePercentile(75);<a
name="line.383"></a>
+<span class="sourceLineNo">384</span> Assert.assertEquals(3.0,
p.evaluate(d), 1.0e-5);<a name="line.384"></a>
+<span class="sourceLineNo">385</span> p = new PSquarePercentile(50);<a
name="line.385"></a>
+<span class="sourceLineNo">386</span> Assert.assertEquals(2d,
p.evaluate(d), 1.0e-5);<a name="line.386"></a>
+<span class="sourceLineNo">387</span><a name="line.387"></a>
+<span class="sourceLineNo">388</span> }<a name="line.388"></a>
+<span class="sourceLineNo">389</span><a name="line.389"></a>
+<span class="sourceLineNo">390</span> @Test(expected =
MathIllegalArgumentException.class)<a name="line.390"></a>
+<span class="sourceLineNo">391</span> public void testInitial() {<a
name="line.391"></a>
+<span class="sourceLineNo">392</span> PSquarePercentile.newMarkers(new
ArrayList<Double>(), 0.5);<a name="line.392"></a>
+<span class="sourceLineNo">393</span> Assert.fail();<a
name="line.393"></a>
+<span class="sourceLineNo">394</span> }<a name="line.394"></a>
+<span class="sourceLineNo">395</span><a name="line.395"></a>
+<span class="sourceLineNo">396</span> @Test(expected =
MathIllegalArgumentException.class)<a name="line.396"></a>
+<span class="sourceLineNo">397</span> public void
testNegativeInvalidValues() {<a name="line.397"></a>
+<span class="sourceLineNo">398</span> double[] d =<a
name="line.398"></a>
+<span class="sourceLineNo">399</span> new double[] { 95.1772,
95.1567, 95.1937, 95.1959, 95.1442,<a name="line.399"></a>
+<span class="sourceLineNo">400</span> 95.0610, 95.1591,
95.1195, 95.1772, 95.0925, 95.1990,<a name="line.400"></a>
+<span class="sourceLineNo">401</span> 95.1682 };<a
name="line.401"></a>
+<span class="sourceLineNo">402</span> PSquarePercentile p = new
PSquarePercentile(-1.0);<a name="line.402"></a>
+<span class="sourceLineNo">403</span> p.evaluate(d, 0, d.length);<a
name="line.403"></a>
+<span class="sourceLineNo">404</span> Assert.fail("This method has had
to throw exception..but it is not..");<a name="line.404"></a>
+<span class="sourceLineNo">405</span><a name="line.405"></a>
+<span class="sourceLineNo">406</span> }<a name="line.406"></a>
+<span class="sourceLineNo">407</span><a name="line.407"></a>
+<span class="sourceLineNo">408</span> @Test(expected =
MathIllegalArgumentException.class)<a name="line.408"></a>
+<span class="sourceLineNo">409</span> public void
testPositiveInvalidValues() {<a name="line.409"></a>
+<span class="sourceLineNo">410</span> double[] d =<a
name="line.410"></a>
+<span class="sourceLineNo">411</span> new double[] { 95.1772,
95.1567, 95.1937, 95.1959, 95.1442,<a name="line.411"></a>
+<span class="sourceLineNo">412</span> 95.0610, 95.1591,
95.1195, 95.1772, 95.0925, 95.1990,<a name="line.412"></a>
+<span class="sourceLineNo">413</span> 95.1682 };<a
name="line.413"></a>
+<span class="sourceLineNo">414</span> PSquarePercentile p = new
PSquarePercentile(101.0);<a name="line.414"></a>
+<span class="sourceLineNo">415</span> p.evaluate(d, 0, d.length);<a
name="line.415"></a>
+<span class="sourceLineNo">416</span> Assert.fail("This method has had
to throw exception..but it is not..");<a name="line.416"></a>
+<span class="sourceLineNo">417</span><a name="line.417"></a>
+<span class="sourceLineNo">418</span> }<a name="line.418"></a>
+<span class="sourceLineNo">419</span><a name="line.419"></a>
+<span class="sourceLineNo">420</span> @Test<a name="line.420"></a>
+<span class="sourceLineNo">421</span> public void testNISTExample() {<a
name="line.421"></a>
+<span class="sourceLineNo">422</span> double[] d =<a
name="line.422"></a>
+<span class="sourceLineNo">423</span> new double[] { 95.1772,
95.1567, 95.1937, 95.1959, 95.1442,<a name="line.423"></a>
+<span class="sourceLineNo">424</span> 95.0610, 95.1591,
95.1195, 95.1772, 95.0925, 95.1990,<a name="line.424"></a>
+<span class="sourceLineNo">425</span> 95.1682 };<a
name="line.425"></a>
+<span class="sourceLineNo">426</span> Assert.assertEquals(95.1981, new
PSquarePercentile(90d).evaluate(d),<a name="line.426"></a>
+<span class="sourceLineNo">427</span> 1.0e-2); // changed the
accuracy to 1.0e-2<a name="line.427"></a>
+<span class="sourceLineNo">428</span> Assert.assertEquals(95.061, new
PSquarePercentile(0d).evaluate(d), 0);<a name="line.428"></a>
+<span class="sourceLineNo">429</span> Assert.assertEquals(95.1990,<a
name="line.429"></a>
+<span class="sourceLineNo">430</span> new
PSquarePercentile(100d).evaluate(d, 0, d.length), 0);<a name="line.430"></a>
+<span class="sourceLineNo">431</span> }<a name="line.431"></a>
+<span class="sourceLineNo">432</span><a name="line.432"></a>
+<span class="sourceLineNo">433</span> @Test<a name="line.433"></a>
+<span class="sourceLineNo">434</span> public void test5() {<a
name="line.434"></a>
+<span class="sourceLineNo">435</span> PSquarePercentile percentile =
new PSquarePercentile(5d);<a name="line.435"></a>
+<span class="sourceLineNo">436</span>
Assert.assertEquals(this.percentile5, percentile.evaluate(testArray),<a
name="line.436"></a>
+<span class="sourceLineNo">437</span> 1.0);// changed the
accuracy to 1 instead of tolerance<a name="line.437"></a>
+<span class="sourceLineNo">438</span> }<a name="line.438"></a>
+<span class="sourceLineNo">439</span><a name="line.439"></a>
+<span class="sourceLineNo">440</span> @Test(expected =
MathIllegalArgumentException.class)<a name="line.440"></a>
+<span class="sourceLineNo">441</span> public void testNull() {<a
name="line.441"></a>
+<span class="sourceLineNo">442</span> PSquarePercentile percentile =
new PSquarePercentile(50d);<a name="line.442"></a>
+<span class="sourceLineNo">443</span> double[] nullArray = null;<a
name="line.443"></a>
+<span class="sourceLineNo">444</span> percentile.evaluate(nullArray);<a
name="line.444"></a>
+<span class="sourceLineNo">445</span> }<a name="line.445"></a>
+<span class="sourceLineNo">446</span><a name="line.446"></a>
+<span class="sourceLineNo">447</span> @Test<a name="line.447"></a>
+<span class="sourceLineNo">448</span> public void testEmpty() {<a
name="line.448"></a>
+<span class="sourceLineNo">449</span> PSquarePercentile percentile =
new PSquarePercentile(50d);<a name="line.449"></a>
+<span class="sourceLineNo">450</span> double[] emptyArray = new
double[] {};<a name="line.450"></a>
+<span class="sourceLineNo">451</span>
Assert.assertTrue(Double.isNaN(percentile.evaluate(emptyArray)));<a
name="line.451"></a>
+<span class="sourceLineNo">452</span> }<a name="line.452"></a>
+<span class="sourceLineNo">453</span><a name="line.453"></a>
+<span class="sourceLineNo">454</span> @Test<a name="line.454"></a>
+<span class="sourceLineNo">455</span> public void testSingleton() {<a
name="line.455"></a>
+<span class="sourceLineNo">456</span> PSquarePercentile percentile =
new PSquarePercentile(50d);<a name="line.456"></a>
+<span class="sourceLineNo">457</span> double[] singletonArray = new
double[] { 1d };<a name="line.457"></a>
+<span class="sourceLineNo">458</span> Assert.assertEquals(1d,
percentile.evaluate(singletonArray), 0);<a name="line.458"></a>
+<span class="sourceLineNo">459</span> Assert.assertEquals(1d,
percentile.evaluate(singletonArray, 0, 1), 0);<a name="line.459"></a>
+<span class="sourceLineNo">460</span> percentile = new
PSquarePercentile(5);<a name="line.460"></a>
+<span class="sourceLineNo">461</span> Assert.assertEquals(1d,
percentile.evaluate(singletonArray, 0, 1), 0);<a name="line.461"></a>
+<span class="sourceLineNo">462</span> percentile = new
PSquarePercentile(100);<a name="line.462"></a>
+<span class="sourceLineNo">463</span> Assert.assertEquals(1d,
percentile.evaluate(singletonArray, 0, 1), 0);<a name="line.463"></a>
+<span class="sourceLineNo">464</span> percentile = new
PSquarePercentile(100);<a name="line.464"></a>
+<span class="sourceLineNo">465</span>
Assert.assertTrue(Double.isNaN(percentile<a name="line.465"></a>
+<span class="sourceLineNo">466</span> .evaluate(singletonArray,
0, 0)));<a name="line.466"></a>
+<span class="sourceLineNo">467</span> }<a name="line.467"></a>
+<span class="sourceLineNo">468</span><a name="line.468"></a>
+<span class="sourceLineNo">469</span> @Test<a name="line.469"></a>
+<span class="sourceLineNo">470</span> public void testSpecialValues() {<a
name="line.470"></a>
+<span class="sourceLineNo">471</span> PSquarePercentile percentile =
new PSquarePercentile(50d);<a name="line.471"></a>
+<span class="sourceLineNo">472</span> double[] specialValues =<a
name="line.472"></a>
+<span class="sourceLineNo">473</span> new double[] { 0d, 1d,
2d, 3d, 4d, Double.NaN };<a name="line.473"></a>
+<span class="sourceLineNo">474</span> Assert.assertEquals(2d,
percentile.evaluate(specialValues), 0);<a name="line.474"></a>
+<span class="sourceLineNo">475</span> specialValues =<a
name="line.475"></a>
+<span class="sourceLineNo">476</span> new double[] {
Double.NEGATIVE_INFINITY, 1d, 2d, 3d,<a name="line.476"></a>
+<span class="sourceLineNo">477</span> Double.NaN,
Double.POSITIVE_INFINITY };<a name="line.477"></a>
+<span class="sourceLineNo">478</span> Assert.assertEquals(2d,
percentile.evaluate(specialValues), 0);<a name="line.478"></a>
+<span class="sourceLineNo">479</span> specialValues =<a
name="line.479"></a>
+<span class="sourceLineNo">480</span> new double[] { 1d, 1d,
Double.POSITIVE_INFINITY,<a name="line.480"></a>
+<span class="sourceLineNo">481</span>
Double.POSITIVE_INFINITY };<a name="line.481"></a>
+<span class="sourceLineNo">482</span>
Assert.assertFalse(Double.isInfinite(percentile.evaluate(specialValues)));<a
name="line.482"></a>
+<span class="sourceLineNo">483</span> specialValues = new double[] {
1d, 1d, Double.NaN, Double.NaN };<a name="line.483"></a>
+<span class="sourceLineNo">484</span>
Assert.assertFalse(Double.isNaN(percentile.evaluate(specialValues)));<a
name="line.484"></a>
+<span class="sourceLineNo">485</span> specialValues =<a
name="line.485"></a>
+<span class="sourceLineNo">486</span> new double[] { 1d, 1d,
Double.NEGATIVE_INFINITY,<a name="line.486"></a>
+<span class="sourceLineNo">487</span>
Double.NEGATIVE_INFINITY };<a name="line.487"></a>
+<span class="sourceLineNo">488</span> percentile = new
PSquarePercentile(50d);<a name="line.488"></a>
+<span class="sourceLineNo">489</span> // Interpolation results in
NEGATIVE_INFINITY + POSITIVE_INFINITY<a name="line.489"></a>
+<span class="sourceLineNo">490</span> // changed the result check to
infinity instead of NaN<a name="line.490"></a>
+<span class="sourceLineNo">491</span>
Assert.assertTrue(Double.isInfinite(percentile.evaluate(specialValues)));<a
name="line.491"></a>
+<span class="sourceLineNo">492</span> }<a name="line.492"></a>
+<span class="sourceLineNo">493</span><a name="line.493"></a>
+<span class="sourceLineNo">494</span> @Test<a name="line.494"></a>
+<span class="sourceLineNo">495</span> public void testArrayExample() {<a
name="line.495"></a>
+<span class="sourceLineNo">496</span>
Assert.assertEquals(expectedValue(),<a name="line.496"></a>
+<span class="sourceLineNo">497</span> new
PSquarePercentile(95d).evaluate(testArray), getTolerance());<a
name="line.497"></a>
+<span class="sourceLineNo">498</span> }<a name="line.498"></a>
+<span class="sourceLineNo">499</span><a name="line.499"></a>
+<span class="sourceLineNo">500</span> @Test<a name="line.500"></a>
+<span class="sourceLineNo">501</span> public void testSetQuantile() {<a
name="line.501"></a>
+<span class="sourceLineNo">502</span> PSquarePercentile percentile =
new PSquarePercentile(10d);<a name="line.502"></a>
+<span class="sourceLineNo">503</span><a name="line.503"></a>
+<span class="sourceLineNo">504</span> percentile = new
PSquarePercentile(100); // OK<a name="line.504"></a>
+<span class="sourceLineNo">505</span> Assert.assertEquals(1.0,
percentile.quantile(), 0);<a name="line.505"></a>
+<span class="sourceLineNo">506</span> try {<a name="line.506"></a>
+<span class="sourceLineNo">507</span> percentile = new
PSquarePercentile(0);<a name="line.507"></a>
+<span class="sourceLineNo">508</span> // Assert.fail("Expecting
MathIllegalArgumentException");<a name="line.508"></a>
+<span class="sourceLineNo">509</span> } catch
(MathIllegalArgumentException ex) {<a name="line.509"></a>
+<span class="sourceLineNo">510</span> // expected<a
name="line.510"></a>
+<span class="sourceLineNo">511</span> }<a name="line.511"></a>
+<span class="sourceLineNo">512</span> try {<a name="line.512"></a>
+<span class="sourceLineNo">513</span> new PSquarePercentile(0d);<a
name="line.513"></a>
+<span class="sourceLineNo">514</span> // Assert.fail("Expecting
MathIllegalArgumentException");<a name="line.514"></a>
+<span class="sourceLineNo">515</span> } catch
(MathIllegalArgumentException ex) {<a name="line.515"></a>
+<span class="sourceLineNo">516</span> // expected<a
name="line.516"></a>
+<span class="sourceLineNo">517</span> }<a name="line.517"></a>
+<span class="sourceLineNo">518</span> }<a name="line.518"></a>
+<span class="sourceLineNo">519</span><a name="line.519"></a>
+<span class="sourceLineNo">520</span> private Double[] randomTestData(int
factor, int values) {<a name="line.520"></a>
+<span class="sourceLineNo">521</span> Double[] test = new
Double[values];<a name="line.521"></a>
+<span class="sourceLineNo">522</span> for (int i = 0; i <
test.length; i++) {<a name="line.522"></a>
+<span class="sourceLineNo">523</span> test[i] =
Math.abs(randomGenerator.nextDouble() * factor);<a name="line.523"></a>
+<span class="sourceLineNo">524</span> }<a name="line.524"></a>
+<span class="sourceLineNo">525</span> return test;<a
name="line.525"></a>
+<span class="sourceLineNo">526</span> }<a name="line.526"></a>
+<span class="sourceLineNo">527</span><a name="line.527"></a>
+<span class="sourceLineNo">528</span> @Test<a name="line.528"></a>
+<span class="sourceLineNo">529</span> public void testAccept() {<a
name="line.529"></a>
+<span class="sourceLineNo">530</span> PSquarePercentile psquared = new
PSquarePercentile(0.99);<a name="line.530"></a>
+<span class="sourceLineNo">531</span>
Assert.assertTrue(Double.isNaN(psquared.getResult()));<a name="line.531"></a>
+<span class="sourceLineNo">532</span> Double[] test =
randomTestData(100, 10000);<a name="line.532"></a>
+<span class="sourceLineNo">533</span><a name="line.533"></a>
+<span class="sourceLineNo">534</span> for (Double value : test) {<a
name="line.534"></a>
+<span class="sourceLineNo">535</span> psquared.increment(value);<a
name="line.535"></a>
+<span class="sourceLineNo">536</span>
Assert.assertTrue(psquared.getResult() >= 0);<a name="line.536"></a>
+<span class="sourceLineNo">537</span> }<a name="line.537"></a>
+<span class="sourceLineNo">538</span> }<a name="line.538"></a>
+<span class="sourceLineNo">539</span><a name="line.539"></a>
+<span class="sourceLineNo">540</span> private void assertValues(Double a,
Double b, double delta) {<a name="line.540"></a>
+<span class="sourceLineNo">541</span> if (Double.isNaN(a)) {<a
name="line.541"></a>
+<span class="sourceLineNo">542</span> Assert.assertTrue("" + b + "
is not NaN.", Double.isNaN(a));<a name="line.542"></a>
+<span class="sourceLineNo">543</span> } else {<a name="line.543"></a>
+<span class="sourceLineNo">544</span> double max = FastMath.max(a,
b);<a name="line.544"></a>
+<span class="sourceLineNo">545</span> double percentage =
FastMath.abs(a - b) / max;<a name="line.545"></a>
+<span class="sourceLineNo">546</span> double deviation = delta;<a
name="line.546"></a>
+<span class="sourceLineNo">547</span>
Assert.assertTrue(String.format(<a name="line.547"></a>
+<span class="sourceLineNo">548</span> "Deviated = %f and is
beyond %f as a=%f, b=%f",<a name="line.548"></a>
+<span class="sourceLineNo">549</span> percentage,
deviation, a, b), percentage < deviation);<a name="line.549"></a>
+<span class="sourceLineNo">550</span> }<a name="line.550"></a>
+<span class="sourceLineNo">551</span> }<a name="line.551"></a>
+<span class="sourceLineNo">552</span><a name="line.552"></a>
+<span class="sourceLineNo">553</span> private void
doCalculatePercentile(Double percentile, Number[] test) {<a name="line.553"></a>
+<span class="sourceLineNo">554</span> doCalculatePercentile(percentile,
test, Double.MAX_VALUE);<a name="line.554"></a>
+<span class="sourceLineNo">555</span> }<a name="line.555"></a>
+<span class="sourceLineNo">556</span><a name="line.556"></a>
+<span class="sourceLineNo">557</span> private void
doCalculatePercentile(Double percentile, Number[] test,<a name="line.557"></a>
+<span class="sourceLineNo">558</span> double delta) {<a
name="line.558"></a>
+<span class="sourceLineNo">559</span> PSquarePercentile psquared = new
PSquarePercentile(percentile);<a name="line.559"></a>
+<span class="sourceLineNo">560</span> for (Number value : test) {<a
name="line.560"></a>
+<span class="sourceLineNo">561</span>
psquared.increment(value.doubleValue());<a name="line.561"></a>
+<span class="sourceLineNo">562</span> }<a name="line.562"></a>
+<span class="sourceLineNo">563</span><a name="line.563"></a>
+<span class="sourceLineNo">564</span> Percentile p2 = new
Percentile(percentile * 100);<a name="line.564"></a>
+<span class="sourceLineNo">565</span><a name="line.565"></a>
+<span class="sourceLineNo">566</span> double[] dall = new
double[test.length];<a name="line.566"></a>
+<span class="sourceLineNo">567</span> for (int i = 0; i <
test.length; i++) {<a name="line.567"></a>
+<span class="sourceLineNo">568</span> dall[i] =
test[i].doubleValue();<a name="line.568"></a>
+<span class="sourceLineNo">569</span> }<a name="line.569"></a>
+<span class="sourceLineNo">570</span><a name="line.570"></a>
+<span class="sourceLineNo">571</span> Double referenceValue =
p2.evaluate(dall);<a name="line.571"></a>
+<span class="sourceLineNo">572</span>
assertValues(psquared.getResult(), referenceValue, delta);<a
name="line.572"></a>
+<span class="sourceLineNo">573</span> }<a name="line.573"></a>
+<span class="sourceLineNo">574</span><a name="line.574"></a>
+<span class="sourceLineNo">575</span> private void
doCalculatePercentile(double percentile, double[] test,<a name="line.575"></a>
+<span class="sourceLineNo">576</span> double delta) {<a
name="line.576"></a>
+<span class="sourceLineNo">577</span> PSquarePercentile psquared = new
PSquarePercentile(percentile);<a name="line.577"></a>
+<span class="sourceLineNo">578</span> for (double value : test) {<a
name="line.578"></a>
+<span class="sourceLineNo">579</span> psquared.increment(value);<a
name="line.579"></a>
+<span class="sourceLineNo">580</span> }<a name="line.580"></a>
+<span class="sourceLineNo">581</span><a name="line.581"></a>
+<span class="sourceLineNo">582</span> Percentile p2 =<a
name="line.582"></a>
+<span class="sourceLineNo">583</span> new Percentile(percentile
< 1 ? percentile * 100 : percentile);<a name="line.583"></a>
+<span class="sourceLineNo">584</span> /*<a name="line.584"></a>
+<span class="sourceLineNo">585</span> * double[] dall = new
double[test.length]; for (int i = 0; i <<a name="line.585"></a>
+<span class="sourceLineNo">586</span> * test.length; i++) dall[i] =
test[i];<a name="line.586"></a>
+<span class="sourceLineNo">587</span> */<a name="line.587"></a>
+<span class="sourceLineNo">588</span> Double referenceValue =
p2.evaluate(test);<a name="line.588"></a>
+<span class="sourceLineNo">589</span>
assertValues(psquared.getResult(), referenceValue, delta);<a
name="line.589"></a>
+<span class="sourceLineNo">590</span> }<a name="line.590"></a>
+<span class="sourceLineNo">591</span><a name="line.591"></a>
+<span class="sourceLineNo">592</span> @Test<a name="line.592"></a>
+<span class="sourceLineNo">593</span> public void testCannedDataSet() {<a
name="line.593"></a>
+<span class="sourceLineNo">594</span> // test.unoverride("dump");<a
name="line.594"></a>
+<span class="sourceLineNo">595</span> Integer[] seedInput =<a
name="line.595"></a>
+<span class="sourceLineNo">596</span> new Integer[] { 283, 285,
298, 304, 310, 31, 319, 32, 33, 339,<a name="line.596"></a>
+<span class="sourceLineNo">597</span> 342, 348, 350,
354, 354, 357, 36, 36, 369, 37, 37, 375,<a name="line.597"></a>
+<span class="sourceLineNo">598</span> 378, 383, 390,
396, 405, 408, 41, 414, 419, 416, 42,<a name="line.598"></a>
+<span class="sourceLineNo">599</span> 420, 430, 430,
432, 444, 447, 447, 449, 45, 451, 456,<a name="line.599"></a>
+<span class="sourceLineNo">600</span> 468, 470, 471,
474, 600, 695, 70, 83, 97, 109, 113, 128 };<a name="line.600"></a>
+<span class="sourceLineNo">601</span> Integer[] input = new
Integer[seedInput.length * 100];<a name="line.601"></a>
+<span class="sourceLineNo">602</span> for (int i = 0; i <
input.length; i++) {<a name="line.602"></a>
+<span class="sourceLineNo">603</span> input[i] = seedInput[i %
seedInput.length] + i;<a name="line.603"></a>
+<span class="sourceLineNo">604</span> }<a name="line.604"></a>
+<span class="sourceLineNo">605</span> // Arrays.sort(input);<a
name="line.605"></a>
+<span class="sourceLineNo">606</span> doCalculatePercentile(0.50d,
input);<a name="line.606"></a>
+<span class="sourceLineNo">607</span> doCalculatePercentile(0.95d,
input);<a name="line.607"></a>
+<span class="sourceLineNo">608</span><a name="line.608"></a>
+<span class="sourceLineNo">609</span> }<a name="line.609"></a>
+<span class="sourceLineNo">610</span><a name="line.610"></a>
+<span class="sourceLineNo">611</span> @Test<a name="line.611"></a>
+<span class="sourceLineNo">612</span> public void test99Percentile() {<a
name="line.612"></a>
+<span class="sourceLineNo">613</span> Double[] test =
randomTestData(100, 10000);<a name="line.613"></a>
+<span class="sourceLineNo">614</span> doCalculatePercentile(0.99d,
test);<a name="line.614"></a>
+<span class="sourceLineNo">615</span> }<a name="line.615"></a>
+<span class="sourceLineNo">616</span><a name="line.616"></a>
+<span class="sourceLineNo">617</span> @Test<a name="line.617"></a>
+<span class="sourceLineNo">618</span> public void test90Percentile() {<a
name="line.618"></a>
+<span class="sourceLineNo">619</span> Double[] test =
randomTestData(100, 10000);<a name="line.619"></a>
+<span class="sourceLineNo">620</span> doCalculatePercentile(0.90d,
test);<a name="line.620"></a>
+<span class="sourceLineNo">621</span> }<a name="line.621"></a>
+<span class="sourceLineNo">622</span><a name="line.622"></a>
+<span class="sourceLineNo">623</span> @Test<a name="line.623"></a>
+<span class="sourceLineNo">624</span> public void test20Percentile() {<a
name="line.624"></a>
+<span class="sourceLineNo">625</span> Double[] test =
randomTestData(100, 100000);<a name="line.625"></a>
+<span class="sourceLineNo">626</span> doCalculatePercentile(0.20d,
test);<a name="line.626"></a>
+<span class="sourceLineNo">627</span> }<a name="line.627"></a>
+<span class="sourceLineNo">628</span><a name="line.628"></a>
+<span class="sourceLineNo">629</span> @Test<a name="line.629"></a>
+<span class="sourceLineNo">630</span> public void test5Percentile() {<a
name="line.630"></a>
+<span class="sourceLineNo">631</span> Double[] test =
randomTestData(50, 990000);<a name="line.631"></a>
+<span class="sourceLineNo">632</span> doCalculatePercentile(0.50d,
test);<a name="line.632"></a>
+<span class="sourceLineNo">633</span> }<a name="line.633"></a>
+<span class="sourceLineNo">634</span><a name="line.634"></a>
+<span class="sourceLineNo">635</span> @Test<a name="line.635"></a>
+<span class="sourceLineNo">636</span> public void
test99PercentileHighValues() {<a name="line.636"></a>
+<span class="sourceLineNo">637</span> Double[] test =
randomTestData(100000, 10000);<a name="line.637"></a>
+<span class="sourceLineNo">638</span> doCalculatePercentile(0.99d,
test);<a name="line.638"></a>
+<span class="sourceLineNo">639</span> }<a name="line.639"></a>
+<span class="sourceLineNo">640</span><a name="line.640"></a>
+<span class="sourceLineNo">641</span> @Test<a name="line.641"></a>
+<span class="sourceLineNo">642</span> public void
test90PercentileHighValues() {<a name="line.642"></a>
+<span class="sourceLineNo">643</span> Double[] test =
randomTestData(100000, 100000);<a name="line.643"></a>
+<span class="sourceLineNo">644</span> doCalculatePercentile(0.90d,
test);<a name="line.644"></a>
+<span class="sourceLineNo">645</span> }<a name="line.645"></a>
+<span class="sourceLineNo">646</span><a name="line.646"></a>
+<span class="sourceLineNo">647</span> @Test<a name="line.647"></a>
+<span class="sourceLineNo">648</span> public void
test20PercentileHighValues() {<a name="line.648"></a>
+<span class="sourceLineNo">649</span> Double[] test =
randomTestData(100000, 100000);<a name="line.649"></a>
+<span class="sourceLineNo">650</span> doCalculatePercentile(0.20d,
test);<a name="line.650"></a>
+<span class="sourceLineNo">651</span> }<a name="line.651"></a>
+<span class="sourceLineNo">652</span><a name="line.652"></a>
+<span class="sourceLineNo">653</span> @Test<a name="line.653"></a>
+<span class="sourceLineNo">654</span> public void
test5PercentileHighValues() {<a name="line.654"></a>
+<span class="sourceLineNo">655</span> Double[] test =
randomTestData(100000, 100000);<a name="line.655"></a>
+<span class="sourceLineNo">656</span> doCalculatePercentile(0.05d,
test);<a name="line.656"></a>
+<span class="sourceLineNo">657</span> }<a name="line.657"></a>
+<span class="sourceLineNo">658</span><a name="line.658"></a>
+<span class="sourceLineNo">659</span> @Test<a name="line.659"></a>
+<span class="sourceLineNo">660</span> public void
test0PercentileValuesWithFewerThan5Values() {<a name="line.660"></a>
+<span class="sourceLineNo">661</span> double[] test = { 1d, 2d, 3d, 4d
};<a name="line.661"></a>
+<span class="sourceLineNo">662</span> PSquarePercentile p = new
PSquarePercentile(0d);<a name="line.662"></a>
+<span class="sourceLineNo">663</span> Assert.assertEquals(1d,
p.evaluate(test), 0);<a name="line.663"></a>
+<span class="sourceLineNo">664</span>
Assert.assertNotNull(p.toString());<a name="line.664"></a>
+<span class="sourceLineNo">665</span> }<a name="line.665"></a>
+<span class="sourceLineNo">666</span><a name="line.666"></a>
+<span class="sourceLineNo">667</span> @Test<a name="line.667"></a>
+<span class="sourceLineNo">668</span> public void
testPSQuaredEvalFuncWithPapersExampleData() throws IOException {<a
name="line.668"></a>
+<span class="sourceLineNo">669</span><a name="line.669"></a>
+<span class="sourceLineNo">670</span> // This data as input is
considered from<a name="line.670"></a>
+<span class="sourceLineNo">671</span> //
http://www.cs.wustl.edu/~jain/papers/ftp/psqr.pdf<a name="line.671"></a>
+<span class="sourceLineNo">672</span> double[] data =<a
name="line.672"></a>
+<span class="sourceLineNo">673</span> { 0.02, 0.5, 0.74, 3.39,
0.83, 22.37, 10.15, 15.43, 38.62,<a name="line.673"></a>
+<span class="sourceLineNo">674</span> 15.92, 34.6,
10.28, 1.47, 0.4, 0.05, 11.39, 0.27, 0.42,<a name="line.674"></a>
+<span class="sourceLineNo">675</span> 0.09, 11.37,<a
name="line.675"></a>
+<span class="sourceLineNo">676</span><a name="line.676"></a>
+<span class="sourceLineNo">677</span> 11.39, 15.43,
15.92, 22.37, 34.6, 38.62, 18.9, 19.2,<a name="line.677"></a>
+<span class="sourceLineNo">678</span> 27.6, 12.8, 13.7,
21.9<a name="line.678"></a>
+<span class="sourceLineNo">679</span><a name="line.679"></a>
+<span class="sourceLineNo">680</span> };<a name="line.680"></a>
+<span class="sourceLineNo">681</span><a name="line.681"></a>
+<span class="sourceLineNo">682</span> PSquarePercentile psquared = new
PSquarePercentile(50);<a name="line.682"></a>
+<span class="sourceLineNo">683</span><a name="line.683"></a>
+<span class="sourceLineNo">684</span> Double p2value = 0d;<a
name="line.684"></a>
+<span class="sourceLineNo">685</span> for (int i = 0; i < 20; i++)
{<a name="line.685"></a>
+<span class="sourceLineNo">686</span>
psquared.increment(data[i]);<a name="line.686"></a>
+<span class="sourceLineNo">687</span> p2value =
psquared.getResult();<a name="line.687"></a>
+<span class="sourceLineNo">688</span> //
System.out.println(psquared.toString());//uncomment here to see<a
name="line.688"></a>
+<span class="sourceLineNo">689</span> // the papers example
output<a name="line.689"></a>
+<span class="sourceLineNo">690</span> }<a name="line.690"></a>
+<span class="sourceLineNo">691</span> // System.out.println("p2value="
+ p2value);<a name="line.691"></a>
+<span class="sourceLineNo">692</span> Double expected = 4.44d;// 13d;
// From The Paper<a name="line.692"></a>
+<span class="sourceLineNo">693</span> //
http://www.cs.wustl.edu/~jain/papers/ftp/psqr.pdf.<a name="line.693"></a>
+<span class="sourceLineNo">694</span> // Pl refer Pg 1061 Look at the
mid marker<a name="line.694"></a>
+<span class="sourceLineNo">695</span> // height<a name="line.695"></a>
+<span class="sourceLineNo">696</span> // expected = new
Percentile(50).evaluate(data,0,20);<a name="line.696"></a>
+<span class="sourceLineNo">697</span> // Well the values deviate in our
calculation by 0.25 so its 4.25 vs<a name="line.697"></a>
+<span class="sourceLineNo">698</span> // 4.44<a name="line.698"></a>
+<span class="sourceLineNo">699</span> Assert.assertEquals(<a
name="line.699"></a>
+<span class="sourceLineNo">700</span>
String.format("Expected=%f, Actual=%f", expected, p2value),<a
name="line.700"></a>
+<span class="sourceLineNo">701</span> expected, p2value,
0.25);<a name="line.701"></a>
+<span class="sourceLineNo">702</span><a name="line.702"></a>
+<span class="sourceLineNo">703</span> }<a name="line.703"></a>
+<span class="sourceLineNo">704</span><a name="line.704"></a>
+<span class="sourceLineNo">705</span> final int TINY = 10, SMALL = 50,
NOMINAL = 100, MEDIUM = 500,<a name="line.705"></a>
+<span class="sourceLineNo">706</span> STANDARD = 1000, BIG = 10000,
VERY_BIG = 50000, LARGE = 1000000,<a name="line.706"></a>
+<span class="sourceLineNo">707</span> VERY_LARGE = 10000000;<a
name="line.707"></a>
+<span class="sourceLineNo">708</span><a name="line.708"></a>
+<span class="sourceLineNo">709</span> private void
doDistributionTest(RealDistribution distribution) {<a name="line.709"></a>
+<span class="sourceLineNo">710</span> double data[];<a
name="line.710"></a>
+<span class="sourceLineNo">711</span><a name="line.711"></a>
+<span class="sourceLineNo">712</span> data =
distribution.sample(VERY_LARGE);<a name="line.712"></a>
+<span class="sourceLineNo">713</span> doCalculatePercentile(50, data,
0.0001);<a name="line.713"></a>
+<span class="sourceLineNo">714</span> doCalculatePercentile(95, data,
0.0001);<a name="line.714"></a>
+<span class="sourceLineNo">715</span><a name="line.715"></a>
+<span class="sourceLineNo">716</span> data =
distribution.sample(LARGE);<a name="line.716"></a>
+<span class="sourceLineNo">717</span> doCalculatePercentile(50, data,
0.001);<a name="line.717"></a>
+<span class="sourceLineNo">718</span> doCalculatePercentile(95, data,
0.001);<a name="line.718"></a>
+<span class="sourceLineNo">719</span><a name="line.719"></a>
+<span class="sourceLineNo">720</span> data =
distribution.sample(VERY_BIG);<a name="line.720"></a>
+<span class="sourceLineNo">721</span> doCalculatePercentile(50, data,
0.001);<a name="line.721"></a>
+<span class="sourceLineNo">722</span> doCalculatePercentile(95, data,
0.001);<a name="line.722"></a>
+<span class="sourceLineNo">723</span><a name="line.723"></a>
+<span class="sourceLineNo">724</span> data =
distribution.sample(BIG);<a name="line.724"></a>
+<span class="sourceLineNo">725</span> doCalculatePercentile(50, data,
0.001);<a name="line.725"></a>
+<span class="sourceLineNo">726</span> doCalculatePercentile(95, data,
0.001);<a name="line.726"></a>
+<span class="sourceLineNo">727</span><a name="line.727"></a>
+<span class="sourceLineNo">728</span> data =
distribution.sample(STANDARD);<a name="line.728"></a>
+<span class="sourceLineNo">729</span> doCalculatePercentile(50, data,
0.005);<a name="line.729"></a>
+<span class="sourceLineNo">730</span> doCalculatePercentile(95, data,
0.005);<a name="line.730"></a>
+<span class="sourceLineNo">731</span><a name="line.731"></a>
+<span class="sourceLineNo">732</span> data =
distribution.sample(MEDIUM);<a name="line.732"></a>
+<span class="sourceLineNo">733</span> doCalculatePercentile(50, data,
0.005);<a name="line.733"></a>
+<span class="sourceLineNo">734</span> doCalculatePercentile(95, data,
0.005);<a name="line.734"></a>
+<span class="sourceLineNo">735</span><a name="line.735"></a>
+<span class="sourceLineNo">736</span> data =
distribution.sample(NOMINAL);<a name="line.736"></a>
+<span class="sourceLineNo">737</span> doCalculatePercentile(50, data,
0.01);<a name="line.737"></a>
+<span class="sourceLineNo">738</span> doCalculatePercentile(95, data,
0.01);<a name="line.738"></a>
+<span class="sourceLineNo">739</span><a name="line.739"></a>
+<span class="sourceLineNo">740</span> data =
distribution.sample(SMALL);<a name="line.740"></a>
+<span class="sourceLineNo">741</span> doCalculatePercentile(50, data,
0.01);<a name="line.741"></a>
+<span class="sourceLineNo">742</span> doCalculatePercentile(95, data,
0.01);<a name="line.742"></a>
+<span class="sourceLineNo">743</span><a name="line.743"></a>
+<span class="sourceLineNo">744</span> data =
distribution.sample(TINY);<a name="line.744"></a>
+<span class="sourceLineNo">745</span> doCalculatePercentile(50, data,
0.05);<a name="line.745"></a>
+<span class="sourceLineNo">746</span> doCalculatePercentile(95, data,
0.05);<a name="line.746"></a>
+<span class="sourceLineNo">747</span><a name="line.747"></a>
+<span class="sourceLineNo">748</span> }<a name="line.748"></a>
+<span class="sourceLineNo">749</span><a name="line.749"></a>
+<span class="sourceLineNo">750</span> /**<a name="line.750"></a>
+<span class="sourceLineNo">751</span> * Test Various Dist<a
name="line.751"></a>
+<span class="sourceLineNo">752</span> */<a name="line.752"></a>
+<span class="sourceLineNo">753</span> @Test<a name="line.753"></a>
+<span class="sourceLineNo">754</span> public void testDistribution() {<a
name="line.754"></a>
+<span class="sourceLineNo">755</span> doDistributionTest(new
NormalDistribution(randomGenerator, 4000, 50));<a name="line.755"></a>
+<span class="sourceLineNo">756</span> doDistributionTest(new
LogNormalDistribution(randomGenerator,4000, 50));<a name="line.756"></a>
+<span class="sourceLineNo">757</span> // doDistributionTest((new
ExponentialDistribution(4000));<a name="line.757"></a>
+<span class="sourceLineNo">758</span> // doDistributionTest(new
GammaDistribution(5d,1d),0.1);<a name="line.758"></a>
+<span class="sourceLineNo">759</span> }<a name="line.759"></a>
+<span class="sourceLineNo">760</span>}<a name="line.760"></a>
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+</div>
+</body>
+</html>
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