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Posted to commits@commons.apache.org by lu...@apache.org on 2013/04/07 09:52:13 UTC
svn commit: r857590 [37/48] - in
/websites/production/commons/content/proper/commons-math/xref-test: ./
org/apache/commons/math3/ org/apache/commons/math3/analysis/
org/apache/commons/math3/analysis/differentiation/
org/apache/commons/math3/analysis/fu...
Modified: websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/random/EmpiricalDistributionTest.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/random/EmpiricalDistributionTest.html (original)
+++ websites/production/commons/content/proper/commons-math/xref-test/org/apache/commons/math3/random/EmpiricalDistributionTest.html Sun Apr 7 07:52:05 2013
@@ -32,413 +32,565 @@
<a class="jxr_linenumber" name="22" href="#22">22</a> <strong class="jxr_keyword">import</strong> java.io.InputStreamReader;
<a class="jxr_linenumber" name="23" href="#23">23</a> <strong class="jxr_keyword">import</strong> java.net.URL;
<a class="jxr_linenumber" name="24" href="#24">24</a> <strong class="jxr_keyword">import</strong> java.util.ArrayList;
-<a class="jxr_linenumber" name="25" href="#25">25</a>
-<a class="jxr_linenumber" name="26" href="#26">26</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.TestUtils;
-<a class="jxr_linenumber" name="27" href="#27">27</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.UnivariateFunction;
-<a class="jxr_linenumber" name="28" href="#28">28</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator;
-<a class="jxr_linenumber" name="29" href="#29">29</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator;
-<a class="jxr_linenumber" name="30" href="#30">30</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.distribution.NormalDistribution;
-<a class="jxr_linenumber" name="31" href="#31">31</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.distribution.RealDistribution;
-<a class="jxr_linenumber" name="32" href="#32">32</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.distribution.RealDistributionAbstractTest;
-<a class="jxr_linenumber" name="33" href="#33">33</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.exception.NullArgumentException;
-<a class="jxr_linenumber" name="34" href="#34">34</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.stat.descriptive.SummaryStatistics;
-<a class="jxr_linenumber" name="35" href="#35">35</a> <strong class="jxr_keyword">import</strong> org.junit.Assert;
-<a class="jxr_linenumber" name="36" href="#36">36</a> <strong class="jxr_keyword">import</strong> org.junit.Before;
-<a class="jxr_linenumber" name="37" href="#37">37</a> <strong class="jxr_keyword">import</strong> org.junit.Test;
-<a class="jxr_linenumber" name="38" href="#38">38</a>
-<a class="jxr_linenumber" name="39" href="#39">39</a> <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="40" href="#40">40</a> <em class="jxr_javadoccomment"> * Test cases for the EmpiricalDistribution class</em>
-<a class="jxr_linenumber" name="41" href="#41">41</a> <em class="jxr_javadoccomment"> *</em>
-<a class="jxr_linenumber" name="42" href="#42">42</a> <em class="jxr_javadoccomment"> * @version $Id: EmpiricalDistributionTest.java 1421910 2012-12-14 14:57:56Z erans $</em>
-<a class="jxr_linenumber" name="43" href="#43">43</a> <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="44" href="#44">44</a>
-<a class="jxr_linenumber" name="45" href="#45">45</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../org/apache/commons/math3/random/EmpiricalDistributionTest.html">EmpiricalDistributionTest</a> <strong class="jxr_keyword">extends</strong> <a href="../../../../../org/apache/commons/math3/distribution/RealDistributionAbstractTest.html">RealDistributionAbstractTest</a> {
-<a class="jxr_linenumber" name="46" href="#46">46</a>
-<a class="jxr_linenumber" name="47" href="#47">47</a> <strong class="jxr_keyword">protected</strong> EmpiricalDistribution empiricalDistribution = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="48" href="#48">48</a> <strong class="jxr_keyword">protected</strong> EmpiricalDistribution empiricalDistribution2 = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="49" href="#49">49</a> <strong class="jxr_keyword">protected</strong> File file = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="50" href="#50">50</a> <strong class="jxr_keyword">protected</strong> URL url = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="51" href="#51">51</a> <strong class="jxr_keyword">protected</strong> <strong class="jxr_keyword">double</strong>[] dataArray = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="52" href="#52">52</a> <strong class="jxr_keyword">protected</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> n = 10000;
-<a class="jxr_linenumber" name="53" href="#53">53</a>
-<a class="jxr_linenumber" name="54" href="#54">54</a> @Before
-<a class="jxr_linenumber" name="55" href="#55">55</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> setUp() {
-<a class="jxr_linenumber" name="56" href="#56">56</a> <strong class="jxr_keyword">super</strong>.setUp();
-<a class="jxr_linenumber" name="57" href="#57">57</a> empiricalDistribution = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(100);
-<a class="jxr_linenumber" name="58" href="#58">58</a> <em class="jxr_comment">// empiricalDistribution = new EmpiricalDistribution(100, new RandomDataImpl()); // XXX Deprecated API</em>
-<a class="jxr_linenumber" name="59" href="#59">59</a> url = getClass().getResource(<span class="jxr_string">"testData.txt"</span>);
-<a class="jxr_linenumber" name="60" href="#60">60</a> <strong class="jxr_keyword">final</strong> ArrayList<Double> list = <strong class="jxr_keyword">new</strong> ArrayList<Double>();
-<a class="jxr_linenumber" name="61" href="#61">61</a> <strong class="jxr_keyword">try</strong> {
-<a class="jxr_linenumber" name="62" href="#62">62</a> empiricalDistribution2 = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(100);
-<a class="jxr_linenumber" name="63" href="#63">63</a> <em class="jxr_comment">// empiricalDistribution2 = new EmpiricalDistribution(100, new RandomDataImpl()); // XXX Deprecated API</em>
-<a class="jxr_linenumber" name="64" href="#64">64</a> BufferedReader in =
-<a class="jxr_linenumber" name="65" href="#65">65</a> <strong class="jxr_keyword">new</strong> BufferedReader(<strong class="jxr_keyword">new</strong> InputStreamReader(
-<a class="jxr_linenumber" name="66" href="#66">66</a> url.openStream()));
-<a class="jxr_linenumber" name="67" href="#67">67</a> String str = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="68" href="#68">68</a> <strong class="jxr_keyword">while</strong> ((str = in.readLine()) != <strong class="jxr_keyword">null</strong>) {
-<a class="jxr_linenumber" name="69" href="#69">69</a> list.add(Double.valueOf(str));
-<a class="jxr_linenumber" name="70" href="#70">70</a> }
-<a class="jxr_linenumber" name="71" href="#71">71</a> in.close();
-<a class="jxr_linenumber" name="72" href="#72">72</a> in = <strong class="jxr_keyword">null</strong>;
-<a class="jxr_linenumber" name="73" href="#73">73</a> } <strong class="jxr_keyword">catch</strong> (IOException ex) {
-<a class="jxr_linenumber" name="74" href="#74">74</a> Assert.fail(<span class="jxr_string">"IOException "</span> + ex);
-<a class="jxr_linenumber" name="75" href="#75">75</a> }
-<a class="jxr_linenumber" name="76" href="#76">76</a>
-<a class="jxr_linenumber" name="77" href="#77">77</a> dataArray = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[list.size()];
-<a class="jxr_linenumber" name="78" href="#78">78</a> <strong class="jxr_keyword">int</strong> i = 0;
-<a class="jxr_linenumber" name="79" href="#79">79</a> <strong class="jxr_keyword">for</strong> (Double data : list) {
-<a class="jxr_linenumber" name="80" href="#80">80</a> dataArray[i] = data.doubleValue();
-<a class="jxr_linenumber" name="81" href="#81">81</a> i++;
-<a class="jxr_linenumber" name="82" href="#82">82</a> }
-<a class="jxr_linenumber" name="83" href="#83">83</a> }
-<a class="jxr_linenumber" name="84" href="#84">84</a>
-<a class="jxr_linenumber" name="85" href="#85">85</a> <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="86" href="#86">86</a> <em class="jxr_javadoccomment"> * Test EmpiricalDistrbution.load() using sample data file.<br></em>
-<a class="jxr_linenumber" name="87" href="#87">87</a> <em class="jxr_javadoccomment"> * Check that the sampleCount, mu and sigma match data in</em>
-<a class="jxr_linenumber" name="88" href="#88">88</a> <em class="jxr_javadoccomment"> * the sample data file. Also verify that load is idempotent.</em>
-<a class="jxr_linenumber" name="89" href="#89">89</a> <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="90" href="#90">90</a> @Test
-<a class="jxr_linenumber" name="91" href="#91">91</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testLoad() <strong class="jxr_keyword">throws</strong> Exception {
-<a class="jxr_linenumber" name="92" href="#92">92</a> <em class="jxr_comment">// Load from a URL</em>
-<a class="jxr_linenumber" name="93" href="#93">93</a> empiricalDistribution.load(url);
-<a class="jxr_linenumber" name="94" href="#94">94</a> checkDistribution();
-<a class="jxr_linenumber" name="95" href="#95">95</a>
-<a class="jxr_linenumber" name="96" href="#96">96</a> <em class="jxr_comment">// Load again from a file (also verifies idempotency of load)</em>
-<a class="jxr_linenumber" name="97" href="#97">97</a> File file = <strong class="jxr_keyword">new</strong> File(url.getFile());
-<a class="jxr_linenumber" name="98" href="#98">98</a> empiricalDistribution.load(file);
-<a class="jxr_linenumber" name="99" href="#99">99</a> checkDistribution();
-<a class="jxr_linenumber" name="100" href="#100">100</a> }
-<a class="jxr_linenumber" name="101" href="#101">101</a>
-<a class="jxr_linenumber" name="102" href="#102">102</a> <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> checkDistribution() {
-<a class="jxr_linenumber" name="103" href="#103">103</a> <em class="jxr_comment">// testData File has 10000 values, with mean ~ 5.0, std dev ~ 1</em>
-<a class="jxr_linenumber" name="104" href="#104">104</a> <em class="jxr_comment">// Make sure that loaded distribution matches this</em>
-<a class="jxr_linenumber" name="105" href="#105">105</a> Assert.assertEquals(empiricalDistribution.getSampleStats().getN(),1000,10E-7);
-<a class="jxr_linenumber" name="106" href="#106">106</a> <em class="jxr_comment">//TODO: replace with statistical tests</em>
-<a class="jxr_linenumber" name="107" href="#107">107</a> Assert.assertEquals(empiricalDistribution.getSampleStats().getMean(),
-<a class="jxr_linenumber" name="108" href="#108">108</a> 5.069831575018909,10E-7);
-<a class="jxr_linenumber" name="109" href="#109">109</a> Assert.assertEquals(empiricalDistribution.getSampleStats().getStandardDeviation(),
-<a class="jxr_linenumber" name="110" href="#110">110</a> 1.0173699343977738,10E-7);
-<a class="jxr_linenumber" name="111" href="#111">111</a> }
-<a class="jxr_linenumber" name="112" href="#112">112</a>
-<a class="jxr_linenumber" name="113" href="#113">113</a> <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="114" href="#114">114</a> <em class="jxr_javadoccomment"> * Test EmpiricalDistrbution.load(double[]) using data taken from</em>
-<a class="jxr_linenumber" name="115" href="#115">115</a> <em class="jxr_javadoccomment"> * sample data file.<br></em>
-<a class="jxr_linenumber" name="116" href="#116">116</a> <em class="jxr_javadoccomment"> * Check that the sampleCount, mu and sigma match data in</em>
-<a class="jxr_linenumber" name="117" href="#117">117</a> <em class="jxr_javadoccomment"> * the sample data file.</em>
-<a class="jxr_linenumber" name="118" href="#118">118</a> <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="119" href="#119">119</a> @Test
-<a class="jxr_linenumber" name="120" href="#120">120</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testDoubleLoad() <strong class="jxr_keyword">throws</strong> Exception {
-<a class="jxr_linenumber" name="121" href="#121">121</a> empiricalDistribution2.load(dataArray);
-<a class="jxr_linenumber" name="122" href="#122">122</a> <em class="jxr_comment">// testData File has 10000 values, with mean ~ 5.0, std dev ~ 1</em>
-<a class="jxr_linenumber" name="123" href="#123">123</a> <em class="jxr_comment">// Make sure that loaded distribution matches this</em>
-<a class="jxr_linenumber" name="124" href="#124">124</a> Assert.assertEquals(empiricalDistribution2.getSampleStats().getN(),1000,10E-7);
-<a class="jxr_linenumber" name="125" href="#125">125</a> <em class="jxr_comment">//TODO: replace with statistical tests</em>
-<a class="jxr_linenumber" name="126" href="#126">126</a> Assert.assertEquals(empiricalDistribution2.getSampleStats().getMean(),
-<a class="jxr_linenumber" name="127" href="#127">127</a> 5.069831575018909,10E-7);
-<a class="jxr_linenumber" name="128" href="#128">128</a> Assert.assertEquals(empiricalDistribution2.getSampleStats().getStandardDeviation(),
-<a class="jxr_linenumber" name="129" href="#129">129</a> 1.0173699343977738,10E-7);
-<a class="jxr_linenumber" name="130" href="#130">130</a>
-<a class="jxr_linenumber" name="131" href="#131">131</a> <strong class="jxr_keyword">double</strong>[] bounds = empiricalDistribution2.getGeneratorUpperBounds();
-<a class="jxr_linenumber" name="132" href="#132">132</a> Assert.assertEquals(bounds.length, 100);
-<a class="jxr_linenumber" name="133" href="#133">133</a> Assert.assertEquals(bounds[99], 1.0, 10e-12);
+<a class="jxr_linenumber" name="25" href="#25">25</a> <strong class="jxr_keyword">import</strong> java.util.Arrays;
+<a class="jxr_linenumber" name="26" href="#26">26</a>
+<a class="jxr_linenumber" name="27" href="#27">27</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.TestUtils;
+<a class="jxr_linenumber" name="28" href="#28">28</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.UnivariateFunction;
+<a class="jxr_linenumber" name="29" href="#29">29</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator;
+<a class="jxr_linenumber" name="30" href="#30">30</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator;
+<a class="jxr_linenumber" name="31" href="#31">31</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.distribution.AbstractRealDistribution;
+<a class="jxr_linenumber" name="32" href="#32">32</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.distribution.NormalDistribution;
+<a class="jxr_linenumber" name="33" href="#33">33</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.distribution.RealDistribution;
+<a class="jxr_linenumber" name="34" href="#34">34</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.distribution.RealDistributionAbstractTest;
+<a class="jxr_linenumber" name="35" href="#35">35</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.distribution.UniformRealDistribution;
+<a class="jxr_linenumber" name="36" href="#36">36</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.exception.NullArgumentException;
+<a class="jxr_linenumber" name="37" href="#37">37</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.exception.OutOfRangeException;
+<a class="jxr_linenumber" name="38" href="#38">38</a> <strong class="jxr_keyword">import</strong> org.apache.commons.math3.stat.descriptive.SummaryStatistics;
+<a class="jxr_linenumber" name="39" href="#39">39</a> <strong class="jxr_keyword">import</strong> org.junit.Assert;
+<a class="jxr_linenumber" name="40" href="#40">40</a> <strong class="jxr_keyword">import</strong> org.junit.Before;
+<a class="jxr_linenumber" name="41" href="#41">41</a> <strong class="jxr_keyword">import</strong> org.junit.Test;
+<a class="jxr_linenumber" name="42" href="#42">42</a>
+<a class="jxr_linenumber" name="43" href="#43">43</a> <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="44" href="#44">44</a> <em class="jxr_javadoccomment"> * Test cases for the EmpiricalDistribution class</em>
+<a class="jxr_linenumber" name="45" href="#45">45</a> <em class="jxr_javadoccomment"> *</em>
+<a class="jxr_linenumber" name="46" href="#46">46</a> <em class="jxr_javadoccomment"> * @version $Id: EmpiricalDistributionTest.java 1461172 2013-03-26 15:11:18Z luc $</em>
+<a class="jxr_linenumber" name="47" href="#47">47</a> <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="48" href="#48">48</a>
+<a class="jxr_linenumber" name="49" href="#49">49</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../org/apache/commons/math3/random/EmpiricalDistributionTest.html">EmpiricalDistributionTest</a> <strong class="jxr_keyword">extends</strong> <a href="../../../../../org/apache/commons/math3/distribution/RealDistributionAbstractTest.html">RealDistributionAbstractTest</a> {
+<a class="jxr_linenumber" name="50" href="#50">50</a>
+<a class="jxr_linenumber" name="51" href="#51">51</a> <strong class="jxr_keyword">protected</strong> EmpiricalDistribution empiricalDistribution = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="52" href="#52">52</a> <strong class="jxr_keyword">protected</strong> EmpiricalDistribution empiricalDistribution2 = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="53" href="#53">53</a> <strong class="jxr_keyword">protected</strong> File file = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="54" href="#54">54</a> <strong class="jxr_keyword">protected</strong> URL url = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="55" href="#55">55</a> <strong class="jxr_keyword">protected</strong> <strong class="jxr_keyword">double</strong>[] dataArray = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="56" href="#56">56</a> <strong class="jxr_keyword">protected</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> n = 10000;
+<a class="jxr_linenumber" name="57" href="#57">57</a>
+<a class="jxr_linenumber" name="58" href="#58">58</a> @Before
+<a class="jxr_linenumber" name="59" href="#59">59</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> setUp() {
+<a class="jxr_linenumber" name="60" href="#60">60</a> <strong class="jxr_keyword">super</strong>.setUp();
+<a class="jxr_linenumber" name="61" href="#61">61</a> empiricalDistribution = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(100);
+<a class="jxr_linenumber" name="62" href="#62">62</a> <em class="jxr_comment">// empiricalDistribution = new EmpiricalDistribution(100, new RandomDataImpl()); // XXX Deprecated API</em>
+<a class="jxr_linenumber" name="63" href="#63">63</a> url = getClass().getResource(<span class="jxr_string">"testData.txt"</span>);
+<a class="jxr_linenumber" name="64" href="#64">64</a> <strong class="jxr_keyword">final</strong> ArrayList<Double> list = <strong class="jxr_keyword">new</strong> ArrayList<Double>();
+<a class="jxr_linenumber" name="65" href="#65">65</a> <strong class="jxr_keyword">try</strong> {
+<a class="jxr_linenumber" name="66" href="#66">66</a> empiricalDistribution2 = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(100);
+<a class="jxr_linenumber" name="67" href="#67">67</a> <em class="jxr_comment">// empiricalDistribution2 = new EmpiricalDistribution(100, new RandomDataImpl()); // XXX Deprecated API</em>
+<a class="jxr_linenumber" name="68" href="#68">68</a> BufferedReader in =
+<a class="jxr_linenumber" name="69" href="#69">69</a> <strong class="jxr_keyword">new</strong> BufferedReader(<strong class="jxr_keyword">new</strong> InputStreamReader(
+<a class="jxr_linenumber" name="70" href="#70">70</a> url.openStream()));
+<a class="jxr_linenumber" name="71" href="#71">71</a> String str = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="72" href="#72">72</a> <strong class="jxr_keyword">while</strong> ((str = in.readLine()) != <strong class="jxr_keyword">null</strong>) {
+<a class="jxr_linenumber" name="73" href="#73">73</a> list.add(Double.valueOf(str));
+<a class="jxr_linenumber" name="74" href="#74">74</a> }
+<a class="jxr_linenumber" name="75" href="#75">75</a> in.close();
+<a class="jxr_linenumber" name="76" href="#76">76</a> in = <strong class="jxr_keyword">null</strong>;
+<a class="jxr_linenumber" name="77" href="#77">77</a> } <strong class="jxr_keyword">catch</strong> (IOException ex) {
+<a class="jxr_linenumber" name="78" href="#78">78</a> Assert.fail(<span class="jxr_string">"IOException "</span> + ex);
+<a class="jxr_linenumber" name="79" href="#79">79</a> }
+<a class="jxr_linenumber" name="80" href="#80">80</a>
+<a class="jxr_linenumber" name="81" href="#81">81</a> dataArray = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[list.size()];
+<a class="jxr_linenumber" name="82" href="#82">82</a> <strong class="jxr_keyword">int</strong> i = 0;
+<a class="jxr_linenumber" name="83" href="#83">83</a> <strong class="jxr_keyword">for</strong> (Double data : list) {
+<a class="jxr_linenumber" name="84" href="#84">84</a> dataArray[i] = data.doubleValue();
+<a class="jxr_linenumber" name="85" href="#85">85</a> i++;
+<a class="jxr_linenumber" name="86" href="#86">86</a> }
+<a class="jxr_linenumber" name="87" href="#87">87</a> }
+<a class="jxr_linenumber" name="88" href="#88">88</a>
+<a class="jxr_linenumber" name="89" href="#89">89</a> <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="90" href="#90">90</a> <em class="jxr_javadoccomment"> * Test EmpiricalDistrbution.load() using sample data file.<br></em>
+<a class="jxr_linenumber" name="91" href="#91">91</a> <em class="jxr_javadoccomment"> * Check that the sampleCount, mu and sigma match data in</em>
+<a class="jxr_linenumber" name="92" href="#92">92</a> <em class="jxr_javadoccomment"> * the sample data file. Also verify that load is idempotent.</em>
+<a class="jxr_linenumber" name="93" href="#93">93</a> <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="94" href="#94">94</a> @Test
+<a class="jxr_linenumber" name="95" href="#95">95</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testLoad() <strong class="jxr_keyword">throws</strong> Exception {
+<a class="jxr_linenumber" name="96" href="#96">96</a> <em class="jxr_comment">// Load from a URL</em>
+<a class="jxr_linenumber" name="97" href="#97">97</a> empiricalDistribution.load(url);
+<a class="jxr_linenumber" name="98" href="#98">98</a> checkDistribution();
+<a class="jxr_linenumber" name="99" href="#99">99</a>
+<a class="jxr_linenumber" name="100" href="#100">100</a> <em class="jxr_comment">// Load again from a file (also verifies idempotency of load)</em>
+<a class="jxr_linenumber" name="101" href="#101">101</a> File file = <strong class="jxr_keyword">new</strong> File(url.toURI());
+<a class="jxr_linenumber" name="102" href="#102">102</a> empiricalDistribution.load(file);
+<a class="jxr_linenumber" name="103" href="#103">103</a> checkDistribution();
+<a class="jxr_linenumber" name="104" href="#104">104</a> }
+<a class="jxr_linenumber" name="105" href="#105">105</a>
+<a class="jxr_linenumber" name="106" href="#106">106</a> <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> checkDistribution() {
+<a class="jxr_linenumber" name="107" href="#107">107</a> <em class="jxr_comment">// testData File has 10000 values, with mean ~ 5.0, std dev ~ 1</em>
+<a class="jxr_linenumber" name="108" href="#108">108</a> <em class="jxr_comment">// Make sure that loaded distribution matches this</em>
+<a class="jxr_linenumber" name="109" href="#109">109</a> Assert.assertEquals(empiricalDistribution.getSampleStats().getN(),1000,10E-7);
+<a class="jxr_linenumber" name="110" href="#110">110</a> <em class="jxr_comment">//TODO: replace with statistical tests</em>
+<a class="jxr_linenumber" name="111" href="#111">111</a> Assert.assertEquals(empiricalDistribution.getSampleStats().getMean(),
+<a class="jxr_linenumber" name="112" href="#112">112</a> 5.069831575018909,10E-7);
+<a class="jxr_linenumber" name="113" href="#113">113</a> Assert.assertEquals(empiricalDistribution.getSampleStats().getStandardDeviation(),
+<a class="jxr_linenumber" name="114" href="#114">114</a> 1.0173699343977738,10E-7);
+<a class="jxr_linenumber" name="115" href="#115">115</a> }
+<a class="jxr_linenumber" name="116" href="#116">116</a>
+<a class="jxr_linenumber" name="117" href="#117">117</a> <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="118" href="#118">118</a> <em class="jxr_javadoccomment"> * Test EmpiricalDistrbution.load(double[]) using data taken from</em>
+<a class="jxr_linenumber" name="119" href="#119">119</a> <em class="jxr_javadoccomment"> * sample data file.<br></em>
+<a class="jxr_linenumber" name="120" href="#120">120</a> <em class="jxr_javadoccomment"> * Check that the sampleCount, mu and sigma match data in</em>
+<a class="jxr_linenumber" name="121" href="#121">121</a> <em class="jxr_javadoccomment"> * the sample data file.</em>
+<a class="jxr_linenumber" name="122" href="#122">122</a> <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="123" href="#123">123</a> @Test
+<a class="jxr_linenumber" name="124" href="#124">124</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testDoubleLoad() <strong class="jxr_keyword">throws</strong> Exception {
+<a class="jxr_linenumber" name="125" href="#125">125</a> empiricalDistribution2.load(dataArray);
+<a class="jxr_linenumber" name="126" href="#126">126</a> <em class="jxr_comment">// testData File has 10000 values, with mean ~ 5.0, std dev ~ 1</em>
+<a class="jxr_linenumber" name="127" href="#127">127</a> <em class="jxr_comment">// Make sure that loaded distribution matches this</em>
+<a class="jxr_linenumber" name="128" href="#128">128</a> Assert.assertEquals(empiricalDistribution2.getSampleStats().getN(),1000,10E-7);
+<a class="jxr_linenumber" name="129" href="#129">129</a> <em class="jxr_comment">//TODO: replace with statistical tests</em>
+<a class="jxr_linenumber" name="130" href="#130">130</a> Assert.assertEquals(empiricalDistribution2.getSampleStats().getMean(),
+<a class="jxr_linenumber" name="131" href="#131">131</a> 5.069831575018909,10E-7);
+<a class="jxr_linenumber" name="132" href="#132">132</a> Assert.assertEquals(empiricalDistribution2.getSampleStats().getStandardDeviation(),
+<a class="jxr_linenumber" name="133" href="#133">133</a> 1.0173699343977738,10E-7);
<a class="jxr_linenumber" name="134" href="#134">134</a>
-<a class="jxr_linenumber" name="135" href="#135">135</a> }
-<a class="jxr_linenumber" name="136" href="#136">136</a>
-<a class="jxr_linenumber" name="137" href="#137">137</a> <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="138" href="#138">138</a> <em class="jxr_javadoccomment"> * Generate 1000 random values and make sure they look OK.<br></em>
-<a class="jxr_linenumber" name="139" href="#139">139</a> <em class="jxr_javadoccomment"> * Note that there is a non-zero (but very small) probability that</em>
-<a class="jxr_linenumber" name="140" href="#140">140</a> <em class="jxr_javadoccomment"> * these tests will fail even if the code is working as designed.</em>
-<a class="jxr_linenumber" name="141" href="#141">141</a> <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="142" href="#142">142</a> @Test
-<a class="jxr_linenumber" name="143" href="#143">143</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testNext() <strong class="jxr_keyword">throws</strong> Exception {
-<a class="jxr_linenumber" name="144" href="#144">144</a> tstGen(0.1);
-<a class="jxr_linenumber" name="145" href="#145">145</a> tstDoubleGen(0.1);
-<a class="jxr_linenumber" name="146" href="#146">146</a> }
-<a class="jxr_linenumber" name="147" href="#147">147</a>
-<a class="jxr_linenumber" name="148" href="#148">148</a> <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="149" href="#149">149</a> <em class="jxr_javadoccomment"> * Make sure exception thrown if digest getNext is attempted</em>
-<a class="jxr_linenumber" name="150" href="#150">150</a> <em class="jxr_javadoccomment"> * before loading empiricalDistribution.</em>
-<a class="jxr_linenumber" name="151" href="#151">151</a> <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="152" href="#152">152</a> @Test
-<a class="jxr_linenumber" name="153" href="#153">153</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testNexFail() {
-<a class="jxr_linenumber" name="154" href="#154">154</a> <strong class="jxr_keyword">try</strong> {
-<a class="jxr_linenumber" name="155" href="#155">155</a> empiricalDistribution.getNextValue();
-<a class="jxr_linenumber" name="156" href="#156">156</a> empiricalDistribution2.getNextValue();
-<a class="jxr_linenumber" name="157" href="#157">157</a> Assert.fail(<span class="jxr_string">"Expecting IllegalStateException"</span>);
-<a class="jxr_linenumber" name="158" href="#158">158</a> } <strong class="jxr_keyword">catch</strong> (IllegalStateException ex) {
-<a class="jxr_linenumber" name="159" href="#159">159</a> <em class="jxr_comment">// expected</em>
-<a class="jxr_linenumber" name="160" href="#160">160</a> }
-<a class="jxr_linenumber" name="161" href="#161">161</a> }
-<a class="jxr_linenumber" name="162" href="#162">162</a>
-<a class="jxr_linenumber" name="163" href="#163">163</a> <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="164" href="#164">164</a> <em class="jxr_javadoccomment"> * Make sure we can handle a grid size that is too fine</em>
-<a class="jxr_linenumber" name="165" href="#165">165</a> <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="166" href="#166">166</a> @Test
-<a class="jxr_linenumber" name="167" href="#167">167</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testGridTooFine() <strong class="jxr_keyword">throws</strong> Exception {
-<a class="jxr_linenumber" name="168" href="#168">168</a> empiricalDistribution = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(1001);
-<a class="jxr_linenumber" name="169" href="#169">169</a> tstGen(0.1);
-<a class="jxr_linenumber" name="170" href="#170">170</a> empiricalDistribution2 = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(1001);
-<a class="jxr_linenumber" name="171" href="#171">171</a> tstDoubleGen(0.1);
-<a class="jxr_linenumber" name="172" href="#172">172</a> }
-<a class="jxr_linenumber" name="173" href="#173">173</a>
-<a class="jxr_linenumber" name="174" href="#174">174</a> <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="175" href="#175">175</a> <em class="jxr_javadoccomment"> * How about too fat?</em>
-<a class="jxr_linenumber" name="176" href="#176">176</a> <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="177" href="#177">177</a> @Test
-<a class="jxr_linenumber" name="178" href="#178">178</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testGridTooFat() <strong class="jxr_keyword">throws</strong> Exception {
-<a class="jxr_linenumber" name="179" href="#179">179</a> empiricalDistribution = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(1);
-<a class="jxr_linenumber" name="180" href="#180">180</a> tstGen(5); <em class="jxr_comment">// ridiculous tolerance; but ridiculous grid size</em>
-<a class="jxr_linenumber" name="181" href="#181">181</a> <em class="jxr_comment">// really just checking to make sure we do not bomb</em>
-<a class="jxr_linenumber" name="182" href="#182">182</a> empiricalDistribution2 = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(1);
-<a class="jxr_linenumber" name="183" href="#183">183</a> tstDoubleGen(5);
-<a class="jxr_linenumber" name="184" href="#184">184</a> }
-<a class="jxr_linenumber" name="185" href="#185">185</a>
-<a class="jxr_linenumber" name="186" href="#186">186</a> <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="187" href="#187">187</a> <em class="jxr_javadoccomment"> * Test bin index overflow problem (BZ 36450)</em>
-<a class="jxr_linenumber" name="188" href="#188">188</a> <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="189" href="#189">189</a> @Test
-<a class="jxr_linenumber" name="190" href="#190">190</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testBinIndexOverflow() <strong class="jxr_keyword">throws</strong> Exception {
-<a class="jxr_linenumber" name="191" href="#191">191</a> <strong class="jxr_keyword">double</strong>[] x = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] {9474.94326071674, 2080107.8865462579};
-<a class="jxr_linenumber" name="192" href="#192">192</a> <strong class="jxr_keyword">new</strong> EmpiricalDistribution().load(x);
-<a class="jxr_linenumber" name="193" href="#193">193</a> }
-<a class="jxr_linenumber" name="194" href="#194">194</a>
-<a class="jxr_linenumber" name="195" href="#195">195</a> @Test
-<a class="jxr_linenumber" name="196" href="#196">196</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testSerialization() {
-<a class="jxr_linenumber" name="197" href="#197">197</a> <em class="jxr_comment">// Empty</em>
-<a class="jxr_linenumber" name="198" href="#198">198</a> EmpiricalDistribution dist = <strong class="jxr_keyword">new</strong> EmpiricalDistribution();
-<a class="jxr_linenumber" name="199" href="#199">199</a> EmpiricalDistribution dist2 = (EmpiricalDistribution) TestUtils.serializeAndRecover(dist);
-<a class="jxr_linenumber" name="200" href="#200">200</a> verifySame(dist, dist2);
-<a class="jxr_linenumber" name="201" href="#201">201</a>
-<a class="jxr_linenumber" name="202" href="#202">202</a> <em class="jxr_comment">// Loaded</em>
-<a class="jxr_linenumber" name="203" href="#203">203</a> empiricalDistribution2.load(dataArray);
-<a class="jxr_linenumber" name="204" href="#204">204</a> dist2 = (EmpiricalDistribution) TestUtils.serializeAndRecover(empiricalDistribution2);
-<a class="jxr_linenumber" name="205" href="#205">205</a> verifySame(empiricalDistribution2, dist2);
-<a class="jxr_linenumber" name="206" href="#206">206</a> }
-<a class="jxr_linenumber" name="207" href="#207">207</a>
-<a class="jxr_linenumber" name="208" href="#208">208</a> @Test(expected=NullArgumentException.<strong class="jxr_keyword">class</strong>)
-<a class="jxr_linenumber" name="209" href="#209">209</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testLoadNullDoubleArray() {
-<a class="jxr_linenumber" name="210" href="#210">210</a> <strong class="jxr_keyword">new</strong> EmpiricalDistribution().load((<strong class="jxr_keyword">double</strong>[]) <strong class="jxr_keyword">null</strong>);
-<a class="jxr_linenumber" name="211" href="#211">211</a> }
-<a class="jxr_linenumber" name="212" href="#212">212</a>
-<a class="jxr_linenumber" name="213" href="#213">213</a> @Test(expected=NullArgumentException.<strong class="jxr_keyword">class</strong>)
-<a class="jxr_linenumber" name="214" href="#214">214</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testLoadNullURL() <strong class="jxr_keyword">throws</strong> Exception {
-<a class="jxr_linenumber" name="215" href="#215">215</a> <strong class="jxr_keyword">new</strong> EmpiricalDistribution().load((URL) <strong class="jxr_keyword">null</strong>);
-<a class="jxr_linenumber" name="216" href="#216">216</a> }
-<a class="jxr_linenumber" name="217" href="#217">217</a>
-<a class="jxr_linenumber" name="218" href="#218">218</a> @Test(expected=NullArgumentException.<strong class="jxr_keyword">class</strong>)
-<a class="jxr_linenumber" name="219" href="#219">219</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testLoadNullFile() <strong class="jxr_keyword">throws</strong> Exception {
-<a class="jxr_linenumber" name="220" href="#220">220</a> <strong class="jxr_keyword">new</strong> EmpiricalDistribution().load((File) <strong class="jxr_keyword">null</strong>);
-<a class="jxr_linenumber" name="221" href="#221">221</a> }
-<a class="jxr_linenumber" name="222" href="#222">222</a>
-<a class="jxr_linenumber" name="223" href="#223">223</a> <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="224" href="#224">224</a> <em class="jxr_javadoccomment"> * MATH-298</em>
-<a class="jxr_linenumber" name="225" href="#225">225</a> <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="226" href="#226">226</a> @Test
-<a class="jxr_linenumber" name="227" href="#227">227</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testGetBinUpperBounds() {
-<a class="jxr_linenumber" name="228" href="#228">228</a> <strong class="jxr_keyword">double</strong>[] testData = {0, 1, 1, 2, 3, 4, 4, 5, 6, 7, 8, 9, 10};
-<a class="jxr_linenumber" name="229" href="#229">229</a> EmpiricalDistribution dist = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(5);
-<a class="jxr_linenumber" name="230" href="#230">230</a> dist.load(testData);
-<a class="jxr_linenumber" name="231" href="#231">231</a> <strong class="jxr_keyword">double</strong>[] expectedBinUpperBounds = {2, 4, 6, 8, 10};
-<a class="jxr_linenumber" name="232" href="#232">232</a> <strong class="jxr_keyword">double</strong>[] expectedGeneratorUpperBounds = {4d/13d, 7d/13d, 9d/13d, 11d/13d, 1};
-<a class="jxr_linenumber" name="233" href="#233">233</a> <strong class="jxr_keyword">double</strong> tol = 10E-12;
-<a class="jxr_linenumber" name="234" href="#234">234</a> TestUtils.assertEquals(expectedBinUpperBounds, dist.getUpperBounds(), tol);
-<a class="jxr_linenumber" name="235" href="#235">235</a> TestUtils.assertEquals(expectedGeneratorUpperBounds, dist.getGeneratorUpperBounds(), tol);
-<a class="jxr_linenumber" name="236" href="#236">236</a> }
-<a class="jxr_linenumber" name="237" href="#237">237</a>
-<a class="jxr_linenumber" name="238" href="#238">238</a> @Test
-<a class="jxr_linenumber" name="239" href="#239">239</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testGeneratorConfig() {
-<a class="jxr_linenumber" name="240" href="#240">240</a> <strong class="jxr_keyword">double</strong>[] testData = {0, 1, 2, 3, 4};
-<a class="jxr_linenumber" name="241" href="#241">241</a> RandomGenerator generator = <strong class="jxr_keyword">new</strong> RandomAdaptorTest.ConstantGenerator(0.5);
-<a class="jxr_linenumber" name="242" href="#242">242</a>
-<a class="jxr_linenumber" name="243" href="#243">243</a> EmpiricalDistribution dist = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(5, generator);
-<a class="jxr_linenumber" name="244" href="#244">244</a> dist.load(testData);
-<a class="jxr_linenumber" name="245" href="#245">245</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i < 5; i++) {
-<a class="jxr_linenumber" name="246" href="#246">246</a> Assert.assertEquals(2.0, dist.getNextValue(), 0d);
-<a class="jxr_linenumber" name="247" href="#247">247</a> }
-<a class="jxr_linenumber" name="248" href="#248">248</a>
-<a class="jxr_linenumber" name="249" href="#249">249</a> <em class="jxr_comment">// Verify no NPE with null generator argument</em>
-<a class="jxr_linenumber" name="250" href="#250">250</a> dist = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(5, (RandomGenerator) <strong class="jxr_keyword">null</strong>);
-<a class="jxr_linenumber" name="251" href="#251">251</a> dist.load(testData);
-<a class="jxr_linenumber" name="252" href="#252">252</a> dist.getNextValue();
-<a class="jxr_linenumber" name="253" href="#253">253</a> }
-<a class="jxr_linenumber" name="254" href="#254">254</a>
-<a class="jxr_linenumber" name="255" href="#255">255</a> @Test
-<a class="jxr_linenumber" name="256" href="#256">256</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testReSeed() <strong class="jxr_keyword">throws</strong> Exception {
-<a class="jxr_linenumber" name="257" href="#257">257</a> empiricalDistribution.load(url);
-<a class="jxr_linenumber" name="258" href="#258">258</a> empiricalDistribution.reSeed(100);
-<a class="jxr_linenumber" name="259" href="#259">259</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> [] values = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[10];
-<a class="jxr_linenumber" name="260" href="#260">260</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i < 10; i++) {
-<a class="jxr_linenumber" name="261" href="#261">261</a> values[i] = empiricalDistribution.getNextValue();
-<a class="jxr_linenumber" name="262" href="#262">262</a> }
-<a class="jxr_linenumber" name="263" href="#263">263</a> empiricalDistribution.reSeed(100);
+<a class="jxr_linenumber" name="135" href="#135">135</a> <strong class="jxr_keyword">double</strong>[] bounds = empiricalDistribution2.getGeneratorUpperBounds();
+<a class="jxr_linenumber" name="136" href="#136">136</a> Assert.assertEquals(bounds.length, 100);
+<a class="jxr_linenumber" name="137" href="#137">137</a> Assert.assertEquals(bounds[99], 1.0, 10e-12);
+<a class="jxr_linenumber" name="138" href="#138">138</a>
+<a class="jxr_linenumber" name="139" href="#139">139</a> }
+<a class="jxr_linenumber" name="140" href="#140">140</a>
+<a class="jxr_linenumber" name="141" href="#141">141</a> <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="142" href="#142">142</a> <em class="jxr_javadoccomment"> * Generate 1000 random values and make sure they look OK.<br></em>
+<a class="jxr_linenumber" name="143" href="#143">143</a> <em class="jxr_javadoccomment"> * Note that there is a non-zero (but very small) probability that</em>
+<a class="jxr_linenumber" name="144" href="#144">144</a> <em class="jxr_javadoccomment"> * these tests will fail even if the code is working as designed.</em>
+<a class="jxr_linenumber" name="145" href="#145">145</a> <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="146" href="#146">146</a> @Test
+<a class="jxr_linenumber" name="147" href="#147">147</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testNext() <strong class="jxr_keyword">throws</strong> Exception {
+<a class="jxr_linenumber" name="148" href="#148">148</a> tstGen(0.1);
+<a class="jxr_linenumber" name="149" href="#149">149</a> tstDoubleGen(0.1);
+<a class="jxr_linenumber" name="150" href="#150">150</a> }
+<a class="jxr_linenumber" name="151" href="#151">151</a>
+<a class="jxr_linenumber" name="152" href="#152">152</a> <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="153" href="#153">153</a> <em class="jxr_javadoccomment"> * Make sure exception thrown if digest getNext is attempted</em>
+<a class="jxr_linenumber" name="154" href="#154">154</a> <em class="jxr_javadoccomment"> * before loading empiricalDistribution.</em>
+<a class="jxr_linenumber" name="155" href="#155">155</a> <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="156" href="#156">156</a> @Test
+<a class="jxr_linenumber" name="157" href="#157">157</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testNexFail() {
+<a class="jxr_linenumber" name="158" href="#158">158</a> <strong class="jxr_keyword">try</strong> {
+<a class="jxr_linenumber" name="159" href="#159">159</a> empiricalDistribution.getNextValue();
+<a class="jxr_linenumber" name="160" href="#160">160</a> empiricalDistribution2.getNextValue();
+<a class="jxr_linenumber" name="161" href="#161">161</a> Assert.fail(<span class="jxr_string">"Expecting IllegalStateException"</span>);
+<a class="jxr_linenumber" name="162" href="#162">162</a> } <strong class="jxr_keyword">catch</strong> (IllegalStateException ex) {
+<a class="jxr_linenumber" name="163" href="#163">163</a> <em class="jxr_comment">// expected</em>
+<a class="jxr_linenumber" name="164" href="#164">164</a> }
+<a class="jxr_linenumber" name="165" href="#165">165</a> }
+<a class="jxr_linenumber" name="166" href="#166">166</a>
+<a class="jxr_linenumber" name="167" href="#167">167</a> <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="168" href="#168">168</a> <em class="jxr_javadoccomment"> * Make sure we can handle a grid size that is too fine</em>
+<a class="jxr_linenumber" name="169" href="#169">169</a> <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="170" href="#170">170</a> @Test
+<a class="jxr_linenumber" name="171" href="#171">171</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testGridTooFine() <strong class="jxr_keyword">throws</strong> Exception {
+<a class="jxr_linenumber" name="172" href="#172">172</a> empiricalDistribution = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(1001);
+<a class="jxr_linenumber" name="173" href="#173">173</a> tstGen(0.1);
+<a class="jxr_linenumber" name="174" href="#174">174</a> empiricalDistribution2 = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(1001);
+<a class="jxr_linenumber" name="175" href="#175">175</a> tstDoubleGen(0.1);
+<a class="jxr_linenumber" name="176" href="#176">176</a> }
+<a class="jxr_linenumber" name="177" href="#177">177</a>
+<a class="jxr_linenumber" name="178" href="#178">178</a> <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="179" href="#179">179</a> <em class="jxr_javadoccomment"> * How about too fat?</em>
+<a class="jxr_linenumber" name="180" href="#180">180</a> <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="181" href="#181">181</a> @Test
+<a class="jxr_linenumber" name="182" href="#182">182</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testGridTooFat() <strong class="jxr_keyword">throws</strong> Exception {
+<a class="jxr_linenumber" name="183" href="#183">183</a> empiricalDistribution = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(1);
+<a class="jxr_linenumber" name="184" href="#184">184</a> tstGen(5); <em class="jxr_comment">// ridiculous tolerance; but ridiculous grid size</em>
+<a class="jxr_linenumber" name="185" href="#185">185</a> <em class="jxr_comment">// really just checking to make sure we do not bomb</em>
+<a class="jxr_linenumber" name="186" href="#186">186</a> empiricalDistribution2 = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(1);
+<a class="jxr_linenumber" name="187" href="#187">187</a> tstDoubleGen(5);
+<a class="jxr_linenumber" name="188" href="#188">188</a> }
+<a class="jxr_linenumber" name="189" href="#189">189</a>
+<a class="jxr_linenumber" name="190" href="#190">190</a> <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="191" href="#191">191</a> <em class="jxr_javadoccomment"> * Test bin index overflow problem (BZ 36450)</em>
+<a class="jxr_linenumber" name="192" href="#192">192</a> <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="193" href="#193">193</a> @Test
+<a class="jxr_linenumber" name="194" href="#194">194</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testBinIndexOverflow() <strong class="jxr_keyword">throws</strong> Exception {
+<a class="jxr_linenumber" name="195" href="#195">195</a> <strong class="jxr_keyword">double</strong>[] x = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] {9474.94326071674, 2080107.8865462579};
+<a class="jxr_linenumber" name="196" href="#196">196</a> <strong class="jxr_keyword">new</strong> EmpiricalDistribution().load(x);
+<a class="jxr_linenumber" name="197" href="#197">197</a> }
+<a class="jxr_linenumber" name="198" href="#198">198</a>
+<a class="jxr_linenumber" name="199" href="#199">199</a> @Test
+<a class="jxr_linenumber" name="200" href="#200">200</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testSerialization() {
+<a class="jxr_linenumber" name="201" href="#201">201</a> <em class="jxr_comment">// Empty</em>
+<a class="jxr_linenumber" name="202" href="#202">202</a> EmpiricalDistribution dist = <strong class="jxr_keyword">new</strong> EmpiricalDistribution();
+<a class="jxr_linenumber" name="203" href="#203">203</a> EmpiricalDistribution dist2 = (EmpiricalDistribution) TestUtils.serializeAndRecover(dist);
+<a class="jxr_linenumber" name="204" href="#204">204</a> verifySame(dist, dist2);
+<a class="jxr_linenumber" name="205" href="#205">205</a>
+<a class="jxr_linenumber" name="206" href="#206">206</a> <em class="jxr_comment">// Loaded</em>
+<a class="jxr_linenumber" name="207" href="#207">207</a> empiricalDistribution2.load(dataArray);
+<a class="jxr_linenumber" name="208" href="#208">208</a> dist2 = (EmpiricalDistribution) TestUtils.serializeAndRecover(empiricalDistribution2);
+<a class="jxr_linenumber" name="209" href="#209">209</a> verifySame(empiricalDistribution2, dist2);
+<a class="jxr_linenumber" name="210" href="#210">210</a> }
+<a class="jxr_linenumber" name="211" href="#211">211</a>
+<a class="jxr_linenumber" name="212" href="#212">212</a> @Test(expected=NullArgumentException.<strong class="jxr_keyword">class</strong>)
+<a class="jxr_linenumber" name="213" href="#213">213</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testLoadNullDoubleArray() {
+<a class="jxr_linenumber" name="214" href="#214">214</a> <strong class="jxr_keyword">new</strong> EmpiricalDistribution().load((<strong class="jxr_keyword">double</strong>[]) <strong class="jxr_keyword">null</strong>);
+<a class="jxr_linenumber" name="215" href="#215">215</a> }
+<a class="jxr_linenumber" name="216" href="#216">216</a>
+<a class="jxr_linenumber" name="217" href="#217">217</a> @Test(expected=NullArgumentException.<strong class="jxr_keyword">class</strong>)
+<a class="jxr_linenumber" name="218" href="#218">218</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testLoadNullURL() <strong class="jxr_keyword">throws</strong> Exception {
+<a class="jxr_linenumber" name="219" href="#219">219</a> <strong class="jxr_keyword">new</strong> EmpiricalDistribution().load((URL) <strong class="jxr_keyword">null</strong>);
+<a class="jxr_linenumber" name="220" href="#220">220</a> }
+<a class="jxr_linenumber" name="221" href="#221">221</a>
+<a class="jxr_linenumber" name="222" href="#222">222</a> @Test(expected=NullArgumentException.<strong class="jxr_keyword">class</strong>)
+<a class="jxr_linenumber" name="223" href="#223">223</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testLoadNullFile() <strong class="jxr_keyword">throws</strong> Exception {
+<a class="jxr_linenumber" name="224" href="#224">224</a> <strong class="jxr_keyword">new</strong> EmpiricalDistribution().load((File) <strong class="jxr_keyword">null</strong>);
+<a class="jxr_linenumber" name="225" href="#225">225</a> }
+<a class="jxr_linenumber" name="226" href="#226">226</a>
+<a class="jxr_linenumber" name="227" href="#227">227</a> <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="228" href="#228">228</a> <em class="jxr_javadoccomment"> * MATH-298</em>
+<a class="jxr_linenumber" name="229" href="#229">229</a> <em class="jxr_javadoccomment"> */</em>
+<a class="jxr_linenumber" name="230" href="#230">230</a> @Test
+<a class="jxr_linenumber" name="231" href="#231">231</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testGetBinUpperBounds() {
+<a class="jxr_linenumber" name="232" href="#232">232</a> <strong class="jxr_keyword">double</strong>[] testData = {0, 1, 1, 2, 3, 4, 4, 5, 6, 7, 8, 9, 10};
+<a class="jxr_linenumber" name="233" href="#233">233</a> EmpiricalDistribution dist = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(5);
+<a class="jxr_linenumber" name="234" href="#234">234</a> dist.load(testData);
+<a class="jxr_linenumber" name="235" href="#235">235</a> <strong class="jxr_keyword">double</strong>[] expectedBinUpperBounds = {2, 4, 6, 8, 10};
+<a class="jxr_linenumber" name="236" href="#236">236</a> <strong class="jxr_keyword">double</strong>[] expectedGeneratorUpperBounds = {4d/13d, 7d/13d, 9d/13d, 11d/13d, 1};
+<a class="jxr_linenumber" name="237" href="#237">237</a> <strong class="jxr_keyword">double</strong> tol = 10E-12;
+<a class="jxr_linenumber" name="238" href="#238">238</a> TestUtils.assertEquals(expectedBinUpperBounds, dist.getUpperBounds(), tol);
+<a class="jxr_linenumber" name="239" href="#239">239</a> TestUtils.assertEquals(expectedGeneratorUpperBounds, dist.getGeneratorUpperBounds(), tol);
+<a class="jxr_linenumber" name="240" href="#240">240</a> }
+<a class="jxr_linenumber" name="241" href="#241">241</a>
+<a class="jxr_linenumber" name="242" href="#242">242</a> @Test
+<a class="jxr_linenumber" name="243" href="#243">243</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testGeneratorConfig() {
+<a class="jxr_linenumber" name="244" href="#244">244</a> <strong class="jxr_keyword">double</strong>[] testData = {0, 1, 2, 3, 4};
+<a class="jxr_linenumber" name="245" href="#245">245</a> RandomGenerator generator = <strong class="jxr_keyword">new</strong> RandomAdaptorTest.ConstantGenerator(0.5);
+<a class="jxr_linenumber" name="246" href="#246">246</a>
+<a class="jxr_linenumber" name="247" href="#247">247</a> EmpiricalDistribution dist = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(5, generator);
+<a class="jxr_linenumber" name="248" href="#248">248</a> dist.load(testData);
+<a class="jxr_linenumber" name="249" href="#249">249</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i < 5; i++) {
+<a class="jxr_linenumber" name="250" href="#250">250</a> Assert.assertEquals(2.0, dist.getNextValue(), 0d);
+<a class="jxr_linenumber" name="251" href="#251">251</a> }
+<a class="jxr_linenumber" name="252" href="#252">252</a>
+<a class="jxr_linenumber" name="253" href="#253">253</a> <em class="jxr_comment">// Verify no NPE with null generator argument</em>
+<a class="jxr_linenumber" name="254" href="#254">254</a> dist = <strong class="jxr_keyword">new</strong> EmpiricalDistribution(5, (RandomGenerator) <strong class="jxr_keyword">null</strong>);
+<a class="jxr_linenumber" name="255" href="#255">255</a> dist.load(testData);
+<a class="jxr_linenumber" name="256" href="#256">256</a> dist.getNextValue();
+<a class="jxr_linenumber" name="257" href="#257">257</a> }
+<a class="jxr_linenumber" name="258" href="#258">258</a>
+<a class="jxr_linenumber" name="259" href="#259">259</a> @Test
+<a class="jxr_linenumber" name="260" href="#260">260</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testReSeed() <strong class="jxr_keyword">throws</strong> Exception {
+<a class="jxr_linenumber" name="261" href="#261">261</a> empiricalDistribution.load(url);
+<a class="jxr_linenumber" name="262" href="#262">262</a> empiricalDistribution.reSeed(100);
+<a class="jxr_linenumber" name="263" href="#263">263</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> [] values = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[10];
<a class="jxr_linenumber" name="264" href="#264">264</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i < 10; i++) {
-<a class="jxr_linenumber" name="265" href="#265">265</a> Assert.assertEquals(values[i],empiricalDistribution.getNextValue(), 0d);
+<a class="jxr_linenumber" name="265" href="#265">265</a> values[i] = empiricalDistribution.getNextValue();
<a class="jxr_linenumber" name="266" href="#266">266</a> }
-<a class="jxr_linenumber" name="267" href="#267">267</a> }
-<a class="jxr_linenumber" name="268" href="#268">268</a>
-<a class="jxr_linenumber" name="269" href="#269">269</a> <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> verifySame(EmpiricalDistribution d1, EmpiricalDistribution d2) {
-<a class="jxr_linenumber" name="270" href="#270">270</a> Assert.assertEquals(d1.isLoaded(), d2.isLoaded());
-<a class="jxr_linenumber" name="271" href="#271">271</a> Assert.assertEquals(d1.getBinCount(), d2.getBinCount());
-<a class="jxr_linenumber" name="272" href="#272">272</a> Assert.assertEquals(d1.getSampleStats(), d2.getSampleStats());
-<a class="jxr_linenumber" name="273" href="#273">273</a> <strong class="jxr_keyword">if</strong> (d1.isLoaded()) {
-<a class="jxr_linenumber" name="274" href="#274">274</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i < d1.getUpperBounds().length; i++) {
-<a class="jxr_linenumber" name="275" href="#275">275</a> Assert.assertEquals(d1.getUpperBounds()[i], d2.getUpperBounds()[i], 0);
-<a class="jxr_linenumber" name="276" href="#276">276</a> }
-<a class="jxr_linenumber" name="277" href="#277">277</a> Assert.assertEquals(d1.getBinStats(), d2.getBinStats());
-<a class="jxr_linenumber" name="278" href="#278">278</a> }
-<a class="jxr_linenumber" name="279" href="#279">279</a> }
-<a class="jxr_linenumber" name="280" href="#280">280</a>
-<a class="jxr_linenumber" name="281" href="#281">281</a> <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> tstGen(<strong class="jxr_keyword">double</strong> tolerance)<strong class="jxr_keyword">throws</strong> Exception {
-<a class="jxr_linenumber" name="282" href="#282">282</a> empiricalDistribution.load(url);
-<a class="jxr_linenumber" name="283" href="#283">283</a> empiricalDistribution.reSeed(1000);
-<a class="jxr_linenumber" name="284" href="#284">284</a> SummaryStatistics stats = <strong class="jxr_keyword">new</strong> SummaryStatistics();
-<a class="jxr_linenumber" name="285" href="#285">285</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 1; i < 1000; i++) {
-<a class="jxr_linenumber" name="286" href="#286">286</a> stats.addValue(empiricalDistribution.getNextValue());
-<a class="jxr_linenumber" name="287" href="#287">287</a> }
-<a class="jxr_linenumber" name="288" href="#288">288</a> Assert.assertEquals(<span class="jxr_string">"mean"</span>, 5.069831575018909, stats.getMean(),tolerance);
-<a class="jxr_linenumber" name="289" href="#289">289</a> Assert.assertEquals(<span class="jxr_string">"std dev"</span>, 1.0173699343977738, stats.getStandardDeviation(),tolerance);
-<a class="jxr_linenumber" name="290" href="#290">290</a> }
-<a class="jxr_linenumber" name="291" href="#291">291</a>
-<a class="jxr_linenumber" name="292" href="#292">292</a> <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> tstDoubleGen(<strong class="jxr_keyword">double</strong> tolerance)<strong class="jxr_keyword">throws</strong> Exception {
-<a class="jxr_linenumber" name="293" href="#293">293</a> empiricalDistribution2.load(dataArray);
-<a class="jxr_linenumber" name="294" href="#294">294</a> empiricalDistribution2.reSeed(1000);
-<a class="jxr_linenumber" name="295" href="#295">295</a> SummaryStatistics stats = <strong class="jxr_keyword">new</strong> SummaryStatistics();
-<a class="jxr_linenumber" name="296" href="#296">296</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 1; i < 1000; i++) {
-<a class="jxr_linenumber" name="297" href="#297">297</a> stats.addValue(empiricalDistribution2.getNextValue());
-<a class="jxr_linenumber" name="298" href="#298">298</a> }
-<a class="jxr_linenumber" name="299" href="#299">299</a> Assert.assertEquals(<span class="jxr_string">"mean"</span>, 5.069831575018909, stats.getMean(), tolerance);
-<a class="jxr_linenumber" name="300" href="#300">300</a> Assert.assertEquals(<span class="jxr_string">"std dev"</span>, 1.0173699343977738, stats.getStandardDeviation(), tolerance);
-<a class="jxr_linenumber" name="301" href="#301">301</a> }
-<a class="jxr_linenumber" name="302" href="#302">302</a>
-<a class="jxr_linenumber" name="303" href="#303">303</a> <em class="jxr_comment">// Setup for distribution tests</em>
-<a class="jxr_linenumber" name="304" href="#304">304</a>
-<a class="jxr_linenumber" name="305" href="#305">305</a> @Override
-<a class="jxr_linenumber" name="306" href="#306">306</a> <strong class="jxr_keyword">public</strong> RealDistribution makeDistribution() {
-<a class="jxr_linenumber" name="307" href="#307">307</a> <em class="jxr_comment">// Create a uniform distribution on [0, 10,000]</em>
-<a class="jxr_linenumber" name="308" href="#308">308</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] sourceData = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[n + 1];
-<a class="jxr_linenumber" name="309" href="#309">309</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i < n + 1; i++) {
-<a class="jxr_linenumber" name="310" href="#310">310</a> sourceData[i] = i;
-<a class="jxr_linenumber" name="311" href="#311">311</a> }
-<a class="jxr_linenumber" name="312" href="#312">312</a> EmpiricalDistribution dist = <strong class="jxr_keyword">new</strong> EmpiricalDistribution();
-<a class="jxr_linenumber" name="313" href="#313">313</a> dist.load(sourceData);
-<a class="jxr_linenumber" name="314" href="#314">314</a> <strong class="jxr_keyword">return</strong> dist;
-<a class="jxr_linenumber" name="315" href="#315">315</a> }
-<a class="jxr_linenumber" name="316" href="#316">316</a>
-<a class="jxr_linenumber" name="317" href="#317">317</a> <em class="jxr_javadoccomment">/**</em><em class="jxr_javadoccomment"> Uniform bin mass = 10/10001 == mass of all but the first bin */</em>
-<a class="jxr_linenumber" name="318" href="#318">318</a> <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> binMass = 10d / (<strong class="jxr_keyword">double</strong>) (n + 1);
-<a class="jxr_linenumber" name="319" href="#319">319</a>
-<a class="jxr_linenumber" name="320" href="#320">320</a> <em class="jxr_javadoccomment">/**</em><em class="jxr_javadoccomment"> Mass of first bin = 11/10001 */</em>
-<a class="jxr_linenumber" name="321" href="#321">321</a> <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> firstBinMass = 11d / (<strong class="jxr_keyword">double</strong>) (n + 1);
-<a class="jxr_linenumber" name="322" href="#322">322</a>
-<a class="jxr_linenumber" name="323" href="#323">323</a> @Override
-<a class="jxr_linenumber" name="324" href="#324">324</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] makeCumulativeTestPoints() {
-<a class="jxr_linenumber" name="325" href="#325">325</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] testPoints = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[] {9, 10, 15, 1000, 5004, 9999};
-<a class="jxr_linenumber" name="326" href="#326">326</a> <strong class="jxr_keyword">return</strong> testPoints;
-<a class="jxr_linenumber" name="327" href="#327">327</a> }
-<a class="jxr_linenumber" name="328" href="#328">328</a>
-<a class="jxr_linenumber" name="329" href="#329">329</a>
-<a class="jxr_linenumber" name="330" href="#330">330</a> @Override
-<a class="jxr_linenumber" name="331" href="#331">331</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] makeCumulativeTestValues() {
-<a class="jxr_linenumber" name="332" href="#332">332</a> <em class="jxr_comment">/*<em class="jxr_comment"> </em></em>
-<a class="jxr_linenumber" name="333" href="#333">333</a> <em class="jxr_comment"> * Bins should be [0, 10], (10, 20], ..., (9990, 10000]</em>
-<a class="jxr_linenumber" name="334" href="#334">334</a> <em class="jxr_comment"> * Kernels should be N(4.5, 3.02765), N(14.5, 3.02765)...</em>
-<a class="jxr_linenumber" name="335" href="#335">335</a> <em class="jxr_comment"> * Each bin should have mass 10/10000 = .001</em>
-<a class="jxr_linenumber" name="336" href="#336">336</a> <em class="jxr_comment"> */</em>
-<a class="jxr_linenumber" name="337" href="#337">337</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] testPoints = getCumulativeTestPoints();
-<a class="jxr_linenumber" name="338" href="#338">338</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] cumValues = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[testPoints.length];
-<a class="jxr_linenumber" name="339" href="#339">339</a> <strong class="jxr_keyword">final</strong> EmpiricalDistribution empiricalDistribution = (EmpiricalDistribution) makeDistribution();
-<a class="jxr_linenumber" name="340" href="#340">340</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] binBounds = empiricalDistribution.getUpperBounds();
-<a class="jxr_linenumber" name="341" href="#341">341</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i < testPoints.length; i++) {
-<a class="jxr_linenumber" name="342" href="#342">342</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> bin = findBin(testPoints[i]);
-<a class="jxr_linenumber" name="343" href="#343">343</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> lower = bin == 0 ? empiricalDistribution.getSupportLowerBound() :
-<a class="jxr_linenumber" name="344" href="#344">344</a> binBounds[bin - 1];
-<a class="jxr_linenumber" name="345" href="#345">345</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> upper = binBounds[bin];
-<a class="jxr_linenumber" name="346" href="#346">346</a> <em class="jxr_comment">// Compute bMinus = sum or mass of bins below the bin containing the point</em>
-<a class="jxr_linenumber" name="347" href="#347">347</a> <em class="jxr_comment">// First bin has mass 11 / 10000, the rest have mass 10 / 10000.</em>
-<a class="jxr_linenumber" name="348" href="#348">348</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> bMinus = bin == 0 ? 0 : (bin - 1) * binMass + firstBinMass;
-<a class="jxr_linenumber" name="349" href="#349">349</a> <strong class="jxr_keyword">final</strong> RealDistribution kernel = findKernel(lower, upper);
-<a class="jxr_linenumber" name="350" href="#350">350</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> withinBinKernelMass = kernel.cumulativeProbability(lower, upper);
-<a class="jxr_linenumber" name="351" href="#351">351</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> kernelCum = kernel.cumulativeProbability(lower, testPoints[i]);
-<a class="jxr_linenumber" name="352" href="#352">352</a> cumValues[i] = bMinus + (bin == 0 ? firstBinMass : binMass) * kernelCum/withinBinKernelMass;
-<a class="jxr_linenumber" name="353" href="#353">353</a> }
-<a class="jxr_linenumber" name="354" href="#354">354</a> <strong class="jxr_keyword">return</strong> cumValues;
-<a class="jxr_linenumber" name="355" href="#355">355</a> }
-<a class="jxr_linenumber" name="356" href="#356">356</a>
-<a class="jxr_linenumber" name="357" href="#357">357</a> @Override
-<a class="jxr_linenumber" name="358" href="#358">358</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] makeDensityTestValues() {
-<a class="jxr_linenumber" name="359" href="#359">359</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] testPoints = getCumulativeTestPoints();
-<a class="jxr_linenumber" name="360" href="#360">360</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] densityValues = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[testPoints.length];
-<a class="jxr_linenumber" name="361" href="#361">361</a> <strong class="jxr_keyword">final</strong> EmpiricalDistribution empiricalDistribution = (EmpiricalDistribution) makeDistribution();
-<a class="jxr_linenumber" name="362" href="#362">362</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] binBounds = empiricalDistribution.getUpperBounds();
-<a class="jxr_linenumber" name="363" href="#363">363</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i < testPoints.length; i++) {
-<a class="jxr_linenumber" name="364" href="#364">364</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> bin = findBin(testPoints[i]);
-<a class="jxr_linenumber" name="365" href="#365">365</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> lower = bin == 0 ? empiricalDistribution.getSupportLowerBound() :
-<a class="jxr_linenumber" name="366" href="#366">366</a> binBounds[bin - 1];
-<a class="jxr_linenumber" name="367" href="#367">367</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> upper = binBounds[bin];
-<a class="jxr_linenumber" name="368" href="#368">368</a> <strong class="jxr_keyword">final</strong> RealDistribution kernel = findKernel(lower, upper);
-<a class="jxr_linenumber" name="369" href="#369">369</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> withinBinKernelMass = kernel.cumulativeProbability(lower, upper);
-<a class="jxr_linenumber" name="370" href="#370">370</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> density = kernel.density(testPoints[i]);
-<a class="jxr_linenumber" name="371" href="#371">371</a> densityValues[i] = density * (bin == 0 ? firstBinMass : binMass) / withinBinKernelMass;
-<a class="jxr_linenumber" name="372" href="#372">372</a> }
-<a class="jxr_linenumber" name="373" href="#373">373</a> <strong class="jxr_keyword">return</strong> densityValues;
-<a class="jxr_linenumber" name="374" href="#374">374</a> }
-<a class="jxr_linenumber" name="375" href="#375">375</a>
-<a class="jxr_linenumber" name="376" href="#376">376</a> <em class="jxr_javadoccomment">/**</em><em class="jxr_javadoccomment"> </em>
-<a class="jxr_linenumber" name="377" href="#377">377</a> <em class="jxr_javadoccomment"> * Modify test integration bounds from the default. Because the distribution</em>
-<a class="jxr_linenumber" name="378" href="#378">378</a> <em class="jxr_javadoccomment"> * has discontinuities at bin boundaries, integrals spanning multiple bins</em>
-<a class="jxr_linenumber" name="379" href="#379">379</a> <em class="jxr_javadoccomment"> * will face convergence problems. Only test within-bin integrals and spans</em>
-<a class="jxr_linenumber" name="380" href="#380">380</a> <em class="jxr_javadoccomment"> * across no more than 3 bin boundaries.</em>
-<a class="jxr_linenumber" name="381" href="#381">381</a> <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="382" href="#382">382</a> @Override
-<a class="jxr_linenumber" name="383" href="#383">383</a> @Test
-<a class="jxr_linenumber" name="384" href="#384">384</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">void</strong> testDensityIntegrals() {
-<a class="jxr_linenumber" name="385" href="#385">385</a> <strong class="jxr_keyword">final</strong> RealDistribution distribution = makeDistribution();
-<a class="jxr_linenumber" name="386" href="#386">386</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> tol = 1.0e-9;
-<a class="jxr_linenumber" name="387" href="#387">387</a> <strong class="jxr_keyword">final</strong> BaseAbstractUnivariateIntegrator integrator =
-<a class="jxr_linenumber" name="388" href="#388">388</a> <strong class="jxr_keyword">new</strong> IterativeLegendreGaussIntegrator(5, 1.0e-12, 1.0e-10);
-<a class="jxr_linenumber" name="389" href="#389">389</a> <strong class="jxr_keyword">final</strong> UnivariateFunction d = <strong class="jxr_keyword">new</strong> UnivariateFunction() {
-<a class="jxr_linenumber" name="390" href="#390">390</a> <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong> value(<strong class="jxr_keyword">double</strong> x) {
-<a class="jxr_linenumber" name="391" href="#391">391</a> <strong class="jxr_keyword">return</strong> distribution.density(x);
-<a class="jxr_linenumber" name="392" href="#392">392</a> }
-<a class="jxr_linenumber" name="393" href="#393">393</a> };
-<a class="jxr_linenumber" name="394" href="#394">394</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] lower = {0, 5, 1000, 5001, 9995};
-<a class="jxr_linenumber" name="395" href="#395">395</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] upper = {5, 12, 1030, 5010, 10000};
-<a class="jxr_linenumber" name="396" href="#396">396</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 1; i < 5; i++) {
-<a class="jxr_linenumber" name="397" href="#397">397</a> Assert.assertEquals(
-<a class="jxr_linenumber" name="398" href="#398">398</a> distribution.cumulativeProbability(
-<a class="jxr_linenumber" name="399" href="#399">399</a> lower[i], upper[i]),
-<a class="jxr_linenumber" name="400" href="#400">400</a> integrator.integrate(
-<a class="jxr_linenumber" name="401" href="#401">401</a> 1000000, <em class="jxr_comment">// Triangle integrals are very slow to converge</em>
-<a class="jxr_linenumber" name="402" href="#402">402</a> d, lower[i], upper[i]), tol);
-<a class="jxr_linenumber" name="403" href="#403">403</a> }
-<a class="jxr_linenumber" name="404" href="#404">404</a> }
-<a class="jxr_linenumber" name="405" href="#405">405</a>
-<a class="jxr_linenumber" name="406" href="#406">406</a> <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="407" href="#407">407</a> <em class="jxr_javadoccomment"> * Find the bin that x belongs (relative to {@link #makeDistribution()}).</em>
-<a class="jxr_linenumber" name="408" href="#408">408</a> <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="409" href="#409">409</a> <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">int</strong> findBin(<strong class="jxr_keyword">double</strong> x) {
-<a class="jxr_linenumber" name="410" href="#410">410</a> <em class="jxr_comment">// Number of bins below x should be trunc(x/10)</em>
-<a class="jxr_linenumber" name="411" href="#411">411</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong> nMinus = Math.floor(x / 10);
-<a class="jxr_linenumber" name="412" href="#412">412</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> bin = (<strong class="jxr_keyword">int</strong>) Math.round(nMinus);
-<a class="jxr_linenumber" name="413" href="#413">413</a> <em class="jxr_comment">// If x falls on a bin boundary, it is in the lower bin</em>
-<a class="jxr_linenumber" name="414" href="#414">414</a> <strong class="jxr_keyword">return</strong> Math.floor(x / 10) == x / 10 ? bin - 1 : bin;
-<a class="jxr_linenumber" name="415" href="#415">415</a> }
-<a class="jxr_linenumber" name="416" href="#416">416</a>
-<a class="jxr_linenumber" name="417" href="#417">417</a> <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="418" href="#418">418</a> <em class="jxr_javadoccomment"> * Find the within-bin kernel for the bin with lower bound lower</em>
-<a class="jxr_linenumber" name="419" href="#419">419</a> <em class="jxr_javadoccomment"> * and upper bound upper. All bins other than the first contain 10 points</em>
-<a class="jxr_linenumber" name="420" href="#420">420</a> <em class="jxr_javadoccomment"> * exclusive of the lower bound and are centered at (lower + upper + 1) / 2.</em>
-<a class="jxr_linenumber" name="421" href="#421">421</a> <em class="jxr_javadoccomment"> * The first bin includes its lower bound, 0, so has different mean and</em>
-<a class="jxr_linenumber" name="422" href="#422">422</a> <em class="jxr_javadoccomment"> * standard deviation.</em>
-<a class="jxr_linenumber" name="423" href="#423">423</a> <em class="jxr_javadoccomment"> */</em>
-<a class="jxr_linenumber" name="424" href="#424">424</a> <strong class="jxr_keyword">private</strong> RealDistribution findKernel(<strong class="jxr_keyword">double</strong> lower, <strong class="jxr_keyword">double</strong> upper) {
-<a class="jxr_linenumber" name="425" href="#425">425</a> <strong class="jxr_keyword">if</strong> (lower < 1) {
-<a class="jxr_linenumber" name="426" href="#426">426</a> <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> NormalDistribution(5d, 3.3166247903554);
-<a class="jxr_linenumber" name="427" href="#427">427</a> } <strong class="jxr_keyword">else</strong> {
-<a class="jxr_linenumber" name="428" href="#428">428</a> <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> NormalDistribution((upper + lower + 1) / 2d, 3.0276503540974917);
-<a class="jxr_linenumber" name="429" href="#429">429</a> }
-<a class="jxr_linenumber" name="430" href="#430">430</a> }
-<a class="jxr_linenumber" name="431" href="#431">431</a> }
+<a class="jxr_linenumber" name="267" href="#267">267</a> empiricalDistribution.reSeed(100);
+<a class="jxr_linenumber" name="268" href="#268">268</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i < 10; i++) {
+<a class="jxr_linenumber" name="269" href="#269">269</a> Assert.assertEquals(values[i],empiricalDistribution.getNextValue(), 0d);
+<a class="jxr_linenumber" name="270" href="#270">270</a> }
+<a class="jxr_linenumber" name="271" href="#271">271</a> }
+<a class="jxr_linenumber" name="272" href="#272">272</a>
+<a class="jxr_linenumber" name="273" href="#273">273</a> <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> verifySame(EmpiricalDistribution d1, EmpiricalDistribution d2) {
+<a class="jxr_linenumber" name="274" href="#274">274</a> Assert.assertEquals(d1.isLoaded(), d2.isLoaded());
+<a class="jxr_linenumber" name="275" href="#275">275</a> Assert.assertEquals(d1.getBinCount(), d2.getBinCount());
+<a class="jxr_linenumber" name="276" href="#276">276</a> Assert.assertEquals(d1.getSampleStats(), d2.getSampleStats());
+<a class="jxr_linenumber" name="277" href="#277">277</a> <strong class="jxr_keyword">if</strong> (d1.isLoaded()) {
+<a class="jxr_linenumber" name="278" href="#278">278</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i < d1.getUpperBounds().length; i++) {
+<a class="jxr_linenumber" name="279" href="#279">279</a> Assert.assertEquals(d1.getUpperBounds()[i], d2.getUpperBounds()[i], 0);
+<a class="jxr_linenumber" name="280" href="#280">280</a> }
+<a class="jxr_linenumber" name="281" href="#281">281</a> Assert.assertEquals(d1.getBinStats(), d2.getBinStats());
+<a class="jxr_linenumber" name="282" href="#282">282</a> }
+<a class="jxr_linenumber" name="283" href="#283">283</a> }
+<a class="jxr_linenumber" name="284" href="#284">284</a>
+<a class="jxr_linenumber" name="285" href="#285">285</a> <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> tstGen(<strong class="jxr_keyword">double</strong> tolerance)<strong class="jxr_keyword">throws</strong> Exception {
+<a class="jxr_linenumber" name="286" href="#286">286</a> empiricalDistribution.load(url);
+<a class="jxr_linenumber" name="287" href="#287">287</a> empiricalDistribution.reSeed(1000);
+<a class="jxr_linenumber" name="288" href="#288">288</a> SummaryStatistics stats = <strong class="jxr_keyword">new</strong> SummaryStatistics();
+<a class="jxr_linenumber" name="289" href="#289">289</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 1; i < 1000; i++) {
+<a class="jxr_linenumber" name="290" href="#290">290</a> stats.addValue(empiricalDistribution.getNextValue());
+<a class="jxr_linenumber" name="291" href="#291">291</a> }
+<a class="jxr_linenumber" name="292" href="#292">292</a> Assert.assertEquals(<span class="jxr_string">"mean"</span>, 5.069831575018909, stats.getMean(),tolerance);
+<a class="jxr_linenumber" name="293" href="#293">293</a> Assert.assertEquals(<span class="jxr_string">"std dev"</span>, 1.0173699343977738, stats.getStandardDeviation(),tolerance);
+<a class="jxr_linenumber" name="294" href="#294">294</a> }
+<a class="jxr_linenumber" name="295" href="#295">295</a>
+<a class="jxr_linenumber" name="296" href="#296">296</a> <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> tstDoubleGen(<strong class="jxr_keyword">double</strong> tolerance)<strong class="jxr_keyword">throws</strong> Exception {
+<a class="jxr_linenumber" name="297" href="#297">297</a> empiricalDistribution2.load(dataArray);
+<a class="jxr_linenumber" name="298" href="#298">298</a> empiricalDistribution2.reSeed(1000);
+<a class="jxr_linenumber" name="299" href="#299">299</a> SummaryStatistics stats = <strong class="jxr_keyword">new</strong> SummaryStatistics();
+<a class="jxr_linenumber" name="300" href="#300">300</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 1; i < 1000; i++) {
+<a class="jxr_linenumber" name="301" href="#301">301</a> stats.addValue(empiricalDistribution2.getNextValue());
+<a class="jxr_linenumber" name="302" href="#302">302</a> }
+<a class="jxr_linenumber" name="303" href="#303">303</a> Assert.assertEquals(<span class="jxr_string">"mean"</span>, 5.069831575018909, stats.getMean(), tolerance);
+<a class="jxr_linenumber" name="304" href="#304">304</a> Assert.assertEquals(<span class="jxr_string">"std dev"</span>, 1.0173699343977738, stats.getStandardDeviation(), tolerance);
+<a class="jxr_linenumber" name="305" href="#305">305</a> }
+<a class="jxr_linenumber" name="306" href="#306">306</a>
+<a class="jxr_linenumber" name="307" href="#307">307</a> <em class="jxr_comment">// Setup for distribution tests</em>
+<a class="jxr_linenumber" name="308" href="#308">308</a>
+<a class="jxr_linenumber" name="309" href="#309">309</a> @Override
+<a class="jxr_linenumber" name="310" href="#310">310</a> <strong class="jxr_keyword">public</strong> RealDistribution makeDistribution() {
+<a class="jxr_linenumber" name="311" href="#311">311</a> <em class="jxr_comment">// Create a uniform distribution on [0, 10,000]</em>
+<a class="jxr_linenumber" name="312" href="#312">312</a> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] sourceData = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[n + 1];
+<a class="jxr_linenumber" name="313" href="#313">313</a> <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i < n + 1; i++) {
+<a class="jxr_linenumber" name="314" href="#314">314</a> sourceData[i] = i;
+<a class="jxr_linenumber" name="315" href="#315">315</a> }
+<a class="jxr_linenumber" name="316" href="#316">316</a> EmpiricalDistribution dist = <strong class="jxr_keyword">new</strong> EmpiricalDistribution();
+<a class="jxr_linenumber" name="317" href="#317">317</a> dist.load(sourceData);
+<a class="jxr_linenumber" name="318" href="#318">318</a> <strong class="jxr_keyword">return</strong> dist;
+<a class="jxr_linenumber" name="319" href="#319">319</a> }
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