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Posted to notifications@commons.apache.org by er...@apache.org on 2016/08/22 22:01:59 UTC
svn commit: r995697 [4/14] - in
/websites/production/commons/content/proper/commons-rng: ./ apidocs/
apidocs/org/apache/commons/rng/ apidocs/org/apache/commons/rng/class-use/
apidocs/org/apache/commons/rng/internal/
apidocs/org/apache/commons/rng/inter...
Modified: websites/production/commons/content/proper/commons-rng/apidocs/src-html/org/apache/commons/rng/RandomSource.html
==============================================================================
--- websites/production/commons/content/proper/commons-rng/apidocs/src-html/org/apache/commons/rng/RandomSource.html (original)
+++ websites/production/commons/content/proper/commons-rng/apidocs/src-html/org/apache/commons/rng/RandomSource.html Mon Aug 22 22:01:58 2016
@@ -24,404 +24,432 @@
<span class="sourceLineNo">016</span> */<a name="line.16"></a>
<span class="sourceLineNo">017</span>package org.apache.commons.rng;<a name="line.17"></a>
<span class="sourceLineNo">018</span><a name="line.18"></a>
-<span class="sourceLineNo">019</span>import org.apache.commons.rng.internal.ProviderBuilder;<a name="line.19"></a>
-<span class="sourceLineNo">020</span>import org.apache.commons.rng.internal.BaseProvider;<a name="line.20"></a>
-<span class="sourceLineNo">021</span>import org.apache.commons.rng.internal.util.SeedFactory;<a name="line.21"></a>
-<span class="sourceLineNo">022</span>import org.apache.commons.rng.internal.source64.TwoCmres;<a name="line.22"></a>
-<span class="sourceLineNo">023</span><a name="line.23"></a>
-<span class="sourceLineNo">024</span>/**<a name="line.24"></a>
-<span class="sourceLineNo">025</span> * This class provides the API for creating generators of random numbers.<a name="line.25"></a>
-<span class="sourceLineNo">026</span> * <p><a name="line.26"></a>
-<span class="sourceLineNo">027</span> * Usage examples:<a name="line.27"></a>
-<span class="sourceLineNo">028</span> * <pre><code><a name="line.28"></a>
-<span class="sourceLineNo">029</span> * UniformRandomProvider rng = RandomSource.create(RandomSource.MT);<a name="line.29"></a>
-<span class="sourceLineNo">030</span> * </code></pre><a name="line.30"></a>
-<span class="sourceLineNo">031</span> * or<a name="line.31"></a>
-<span class="sourceLineNo">032</span> * <pre><code><a name="line.32"></a>
-<span class="sourceLineNo">033</span> * final int[] seed = new int[] { 196, 9, 0, 226 };<a name="line.33"></a>
-<span class="sourceLineNo">034</span> * UniformRandomProvider rng = RandomSource.create(RandomSource.MT, seed);<a name="line.34"></a>
-<span class="sourceLineNo">035</span> * </code></pre><a name="line.35"></a>
-<span class="sourceLineNo">036</span> * or<a name="line.36"></a>
-<span class="sourceLineNo">037</span> * <pre><code><a name="line.37"></a>
-<span class="sourceLineNo">038</span> * final int[] seed = RandomSource.createIntArray(256);<a name="line.38"></a>
-<span class="sourceLineNo">039</span> * UniformRandomProvider rng = RandomSource.create(RandomSource.MT, seed);<a name="line.39"></a>
-<span class="sourceLineNo">040</span> * </code></pre><a name="line.40"></a>
-<span class="sourceLineNo">041</span> * where the first argument to method {@code create} is the identifier<a name="line.41"></a>
-<span class="sourceLineNo">042</span> * of the generator's concrete implementation, and the second the is the<a name="line.42"></a>
-<span class="sourceLineNo">043</span> * (optional) seed.<a name="line.43"></a>
-<span class="sourceLineNo">044</span> * <br><a name="line.44"></a>
-<span class="sourceLineNo">045</span> * In the first form, a random seed will be {@link SeedFactory generated<a name="line.45"></a>
-<span class="sourceLineNo">046</span> * automatically}; in the second form, a fixed seed is used; a random seed<a name="line.46"></a>
-<span class="sourceLineNo">047</span> * is explicitly generated in the third form.<a name="line.47"></a>
-<span class="sourceLineNo">048</span> * </p><a name="line.48"></a>
-<span class="sourceLineNo">049</span> *<a name="line.49"></a>
-<span class="sourceLineNo">050</span> * <p><a name="line.50"></a>
-<span class="sourceLineNo">051</span> * Seeding is the procedure by which a value (or set of values) is<a name="line.51"></a>
-<span class="sourceLineNo">052</span> * used to <i>initialize</i> a generator instance.<a name="line.52"></a>
-<span class="sourceLineNo">053</span> * The requirement that a given seed will always result in the same<a name="line.53"></a>
-<span class="sourceLineNo">054</span> * internal state allows to create different instances of a generator<a name="line.54"></a>
-<span class="sourceLineNo">055</span> * that will produce the same sequence of pseudo-random numbers.<a name="line.55"></a>
-<span class="sourceLineNo">056</span> * </p><a name="line.56"></a>
-<span class="sourceLineNo">057</span> *<a name="line.57"></a>
-<span class="sourceLineNo">058</span> * <p><a name="line.58"></a>
-<span class="sourceLineNo">059</span> * The type of data used as a seed depends on the concrete implementation<a name="line.59"></a>
-<span class="sourceLineNo">060</span> * as some types may not provide enough information to fully initialize<a name="line.60"></a>
-<span class="sourceLineNo">061</span> * the generator's internal state.<a name="line.61"></a>
-<span class="sourceLineNo">062</span> * <br><a name="line.62"></a>
-<span class="sourceLineNo">063</span> * The reference algorithm's seeding procedure (if provided) operates<a name="line.63"></a>
-<span class="sourceLineNo">064</span> * on a value of a (single) <i>native</i> type:<a name="line.64"></a>
-<span class="sourceLineNo">065</span> * Each concrete implementation's constructor creates an instance using<a name="line.65"></a>
-<span class="sourceLineNo">066</span> * the native type whose information contents is used to set the<a name="line.66"></a>
-<span class="sourceLineNo">067</span> * internal state.<a name="line.67"></a>
-<span class="sourceLineNo">068</span> * <br><a name="line.68"></a>
-<span class="sourceLineNo">069</span> * When the seed value passed by the caller is of the native type, it is<a name="line.69"></a>
-<span class="sourceLineNo">070</span> * expected that the sequences produced will be identical to those<a name="line.70"></a>
-<span class="sourceLineNo">071</span> * produced by other implementations of the same reference algorithm.<a name="line.71"></a>
-<span class="sourceLineNo">072</span> * <br><a name="line.72"></a>
-<span class="sourceLineNo">073</span> * However, when the seed value passed by the caller is not of the native<a name="line.73"></a>
-<span class="sourceLineNo">074</span> * type, a transformation is performed by this library and the resulting<a name="line.74"></a>
-<span class="sourceLineNo">075</span> * native type value will <i>not</i> contain more information than the<a name="line.75"></a>
-<span class="sourceLineNo">076</span> * original seed value.<a name="line.76"></a>
-<span class="sourceLineNo">077</span> * If the algorithm's native type is "simpler" than the type passed by<a name="line.77"></a>
-<span class="sourceLineNo">078</span> * the caller, then some (unused) information will even be lost.<a name="line.78"></a>
-<span class="sourceLineNo">079</span> * <br><a name="line.79"></a>
-<span class="sourceLineNo">080</span> * The transformation from non-native to native seed type is arbitrary,<a name="line.80"></a>
-<span class="sourceLineNo">081</span> * as long as it does not reduce the amount of information required by<a name="line.81"></a>
-<span class="sourceLineNo">082</span> * the algorithm to initialize its state.<a name="line.82"></a>
-<span class="sourceLineNo">083</span> * The consequence of the transformation is that sequences produced<a name="line.83"></a>
-<span class="sourceLineNo">084</span> * by this library may <i>not</i> be the same as the sequences produced<a name="line.84"></a>
-<span class="sourceLineNo">085</span> * by other implementations of the same algorithm!<a name="line.85"></a>
-<span class="sourceLineNo">086</span> * </p><a name="line.86"></a>
-<span class="sourceLineNo">087</span> *<a name="line.87"></a>
-<span class="sourceLineNo">088</span> * <p><a name="line.88"></a>
-<span class="sourceLineNo">089</span> * This class provides methods to generate random seeds (single values<a name="line.89"></a>
-<span class="sourceLineNo">090</span> * or arrays of values, of {@code int} or {@code long} types) that can<a name="line.90"></a>
-<span class="sourceLineNo">091</span> * be passed to the {@link RandomSource#create(RandomSource,Object,Object[])<a name="line.91"></a>
-<span class="sourceLineNo">092</span> * generators factory method}.<a name="line.92"></a>
-<span class="sourceLineNo">093</span> * <br><a name="line.93"></a>
-<span class="sourceLineNo">094</span> * Although the seed-generating methods defined in this class will likely<a name="line.94"></a>
-<span class="sourceLineNo">095</span> * return different values each time they are called, there is no guarantee<a name="line.95"></a>
-<span class="sourceLineNo">096</span> * that the resulting "seed" will always generate a <i>good</i> (i.e.<a name="line.96"></a>
-<span class="sourceLineNo">097</span> * sufficiently uniformly random for the intended purpose) sequence of<a name="line.97"></a>
-<span class="sourceLineNo">098</span> * numbers, even if the generator is good!<a name="line.98"></a>
-<span class="sourceLineNo">099</span> * The only way to ensure that the selected seed will make the generator<a name="line.99"></a>
-<span class="sourceLineNo">100</span> * produce a good sequence is to submit that sequence to a series of<a name="line.100"></a>
-<span class="sourceLineNo">101</span> * stringent tests, as provided by tools such as<a name="line.101"></a>
-<span class="sourceLineNo">102</span> * <a href="http://www.phy.duke.edu/~rgb/General/dieharder.php">dieharder</a><a name="line.102"></a>
-<span class="sourceLineNo">103</span> * or <a href="http://simul.iro.umontreal.ca/testu01/tu01.html">TestU01</a>.<a name="line.103"></a>
-<span class="sourceLineNo">104</span> * </p><a name="line.104"></a>
-<span class="sourceLineNo">105</span> *<a name="line.105"></a>
-<span class="sourceLineNo">106</span> * <p><a name="line.106"></a>
-<span class="sourceLineNo">107</span> * The current implementations have no provision for producing non-overlapping<a name="line.107"></a>
-<span class="sourceLineNo">108</span> * sequences.<a name="line.108"></a>
-<span class="sourceLineNo">109</span> * For parallel applications, a possible workaround is that each thread uses<a name="line.109"></a>
-<span class="sourceLineNo">110</span> * a generator of a different type (see {@link #TWO_CMRES_SELECT}).<a name="line.110"></a>
-<span class="sourceLineNo">111</span> * </p><a name="line.111"></a>
-<span class="sourceLineNo">112</span> *<a name="line.112"></a>
-<span class="sourceLineNo">113</span> * <p><a name="line.113"></a>
-<span class="sourceLineNo">114</span> * <b>Note:</b><a name="line.114"></a>
-<span class="sourceLineNo">115</span> * Seeding is not equivalent to restoring the internal state of an<a name="line.115"></a>
-<span class="sourceLineNo">116</span> * <i>already initialized</i> generator.<a name="line.116"></a>
-<span class="sourceLineNo">117</span> * Indeed, generators can have a state that is more complex than the<a name="line.117"></a>
-<span class="sourceLineNo">118</span> * seed, and seeding is thus a transformation (from seed to state).<a name="line.118"></a>
-<span class="sourceLineNo">119</span> * Implementations do not provide the inverse transformation (from<a name="line.119"></a>
-<span class="sourceLineNo">120</span> * state to seed), hence it is not generally possible to know the seed<a name="line.120"></a>
-<span class="sourceLineNo">121</span> * that would initialize a new generator instance to the current state<a name="line.121"></a>
-<span class="sourceLineNo">122</span> * of another instance.<a name="line.122"></a>
-<span class="sourceLineNo">123</span> * Reseeding is also inefficient if the purpose is to continue the<a name="line.123"></a>
-<span class="sourceLineNo">124</span> * same sequence where another instance left off, as it would require<a name="line.124"></a>
-<span class="sourceLineNo">125</span> * to "replay" all the calls performed by that other instance (and it<a name="line.125"></a>
-<span class="sourceLineNo">126</span> * would require to know the number of calls to the primary source of<a name="line.126"></a>
-<span class="sourceLineNo">127</span> * randomness, which is also not usually accessible).<a name="line.127"></a>
-<span class="sourceLineNo">128</span> * <br><a name="line.128"></a>
-<span class="sourceLineNo">129</span> * This factory thus provides a method for<a name="line.129"></a>
-<span class="sourceLineNo">130</span> * {@link #saveState(UniformRandomProvider) saving} the internal<a name="line.130"></a>
-<span class="sourceLineNo">131</span> * state of a generator.<a name="line.131"></a>
-<span class="sourceLineNo">132</span> * The state is encapsulated in an {@link State "opaque object"} to be<a name="line.132"></a>
-<span class="sourceLineNo">133</span> * used for {@link #restoreState(UniformRandomProvider,State) restoring}<a name="line.133"></a>
-<span class="sourceLineNo">134</span> * a generator (of the same type) to an identical state (e.g. to allow<a name="line.134"></a>
-<span class="sourceLineNo">135</span> * persistent storage, or to continue a sequence from where the original<a name="line.135"></a>
-<span class="sourceLineNo">136</span> * instance left off).<a name="line.136"></a>
-<span class="sourceLineNo">137</span> * </p><a name="line.137"></a>
-<span class="sourceLineNo">138</span> *<a name="line.138"></a>
-<span class="sourceLineNo">139</span> * @since 1.0<a name="line.139"></a>
-<span class="sourceLineNo">140</span> */<a name="line.140"></a>
-<span class="sourceLineNo">141</span>public enum RandomSource {<a name="line.141"></a>
-<span class="sourceLineNo">142</span> /**<a name="line.142"></a>
-<span class="sourceLineNo">143</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.JDKRandom}.<a name="line.143"></a>
-<span class="sourceLineNo">144</span> * Native seed type: {@code Long}.<a name="line.144"></a>
-<span class="sourceLineNo">145</span> */<a name="line.145"></a>
-<span class="sourceLineNo">146</span> JDK(ProviderBuilder.RandomSourceInternal.JDK),<a name="line.146"></a>
-<span class="sourceLineNo">147</span> /**<a name="line.147"></a>
-<span class="sourceLineNo">148</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.Well512a}.<a name="line.148"></a>
-<span class="sourceLineNo">149</span> * Native seed type: {@code int[]}.<a name="line.149"></a>
-<span class="sourceLineNo">150</span> */<a name="line.150"></a>
-<span class="sourceLineNo">151</span> WELL_512_A(ProviderBuilder.RandomSourceInternal.WELL_512_A),<a name="line.151"></a>
-<span class="sourceLineNo">152</span> /**<a name="line.152"></a>
-<span class="sourceLineNo">153</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.Well1024a}.<a name="line.153"></a>
-<span class="sourceLineNo">154</span> * Native seed type: {@code int[]}.<a name="line.154"></a>
-<span class="sourceLineNo">155</span> */<a name="line.155"></a>
-<span class="sourceLineNo">156</span> WELL_1024_A(ProviderBuilder.RandomSourceInternal.WELL_1024_A),<a name="line.156"></a>
-<span class="sourceLineNo">157</span> /**<a name="line.157"></a>
-<span class="sourceLineNo">158</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.Well19937a}.<a name="line.158"></a>
-<span class="sourceLineNo">159</span> * Native seed type: {@code int[]}.<a name="line.159"></a>
-<span class="sourceLineNo">160</span> */<a name="line.160"></a>
-<span class="sourceLineNo">161</span> WELL_19937_A(ProviderBuilder.RandomSourceInternal.WELL_19937_A),<a name="line.161"></a>
-<span class="sourceLineNo">162</span> /**<a name="line.162"></a>
-<span class="sourceLineNo">163</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.Well19937c}.<a name="line.163"></a>
-<span class="sourceLineNo">164</span> * Native seed type: {@code int[]}.<a name="line.164"></a>
-<span class="sourceLineNo">165</span> */<a name="line.165"></a>
-<span class="sourceLineNo">166</span> WELL_19937_C(ProviderBuilder.RandomSourceInternal.WELL_19937_C),<a name="line.166"></a>
-<span class="sourceLineNo">167</span> /**<a name="line.167"></a>
-<span class="sourceLineNo">168</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.Well44497a}.<a name="line.168"></a>
-<span class="sourceLineNo">169</span> * Native seed type: {@code int[]}.<a name="line.169"></a>
-<span class="sourceLineNo">170</span> */<a name="line.170"></a>
-<span class="sourceLineNo">171</span> WELL_44497_A(ProviderBuilder.RandomSourceInternal.WELL_44497_A),<a name="line.171"></a>
-<span class="sourceLineNo">172</span> /**<a name="line.172"></a>
-<span class="sourceLineNo">173</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.Well44497b}.<a name="line.173"></a>
-<span class="sourceLineNo">174</span> * Native seed type: {@code int[]}.<a name="line.174"></a>
-<span class="sourceLineNo">175</span> */<a name="line.175"></a>
-<span class="sourceLineNo">176</span> WELL_44497_B(ProviderBuilder.RandomSourceInternal.WELL_44497_B),<a name="line.176"></a>
-<span class="sourceLineNo">177</span> /**<a name="line.177"></a>
-<span class="sourceLineNo">178</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.MersenneTwister}.<a name="line.178"></a>
-<span class="sourceLineNo">179</span> * Native seed type: {@code int[]}.<a name="line.179"></a>
-<span class="sourceLineNo">180</span> */<a name="line.180"></a>
-<span class="sourceLineNo">181</span> MT(ProviderBuilder.RandomSourceInternal.MT),<a name="line.181"></a>
-<span class="sourceLineNo">182</span> /**<a name="line.182"></a>
-<span class="sourceLineNo">183</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.ISAACRandom}.<a name="line.183"></a>
-<span class="sourceLineNo">184</span> * Native seed type: {@code int[]}.<a name="line.184"></a>
-<span class="sourceLineNo">185</span> */<a name="line.185"></a>
-<span class="sourceLineNo">186</span> ISAAC(ProviderBuilder.RandomSourceInternal.ISAAC),<a name="line.186"></a>
-<span class="sourceLineNo">187</span> /**<a name="line.187"></a>
-<span class="sourceLineNo">188</span> * Source of randomness is {@link org.apache.commons.rng.internal.source64.SplitMix64}.<a name="line.188"></a>
-<span class="sourceLineNo">189</span> * Native seed type: {@code Long}.<a name="line.189"></a>
-<span class="sourceLineNo">190</span> */<a name="line.190"></a>
-<span class="sourceLineNo">191</span> SPLIT_MIX_64(ProviderBuilder.RandomSourceInternal.SPLIT_MIX_64),<a name="line.191"></a>
-<span class="sourceLineNo">192</span> /**<a name="line.192"></a>
-<span class="sourceLineNo">193</span> * Source of randomness is {@link org.apache.commons.rng.internal.source64.XorShift1024Star}.<a name="line.193"></a>
-<span class="sourceLineNo">194</span> * Native seed type: {@code long[]}.<a name="line.194"></a>
-<span class="sourceLineNo">195</span> */<a name="line.195"></a>
-<span class="sourceLineNo">196</span> XOR_SHIFT_1024_S(ProviderBuilder.RandomSourceInternal.XOR_SHIFT_1024_S),<a name="line.196"></a>
-<span class="sourceLineNo">197</span> /**<a name="line.197"></a>
-<span class="sourceLineNo">198</span> * Source of randomness is {@link org.apache.commons.rng.internal.source64.TwoCmres}.<a name="line.198"></a>
-<span class="sourceLineNo">199</span> * Native seed type: {@code Integer}.<a name="line.199"></a>
-<span class="sourceLineNo">200</span> */<a name="line.200"></a>
-<span class="sourceLineNo">201</span> TWO_CMRES(ProviderBuilder.RandomSourceInternal.TWO_CMRES),<a name="line.201"></a>
-<span class="sourceLineNo">202</span> /**<a name="line.202"></a>
-<span class="sourceLineNo">203</span> * Source of randomness is {@link org.apache.commons.rng.internal.source64.TwoCmres},<a name="line.203"></a>
-<span class="sourceLineNo">204</span> * with explicit selection of the two subcycle generators.<a name="line.204"></a>
-<span class="sourceLineNo">205</span> * Native seed type: {@code Integer}.<a name="line.205"></a>
-<span class="sourceLineNo">206</span> */<a name="line.206"></a>
-<span class="sourceLineNo">207</span> TWO_CMRES_SELECT(ProviderBuilder.RandomSourceInternal.TWO_CMRES_SELECT),<a name="line.207"></a>
-<span class="sourceLineNo">208</span> /**<a name="line.208"></a>
-<span class="sourceLineNo">209</span> * Source of randomness is {@link org.apache.commons.rng.internal.source64.MersenneTwister64}.<a name="line.209"></a>
-<span class="sourceLineNo">210</span> * Native seed type: {@code long[]}.<a name="line.210"></a>
-<span class="sourceLineNo">211</span> */<a name="line.211"></a>
-<span class="sourceLineNo">212</span> MT_64(ProviderBuilder.RandomSourceInternal.MT_64);<a name="line.212"></a>
-<span class="sourceLineNo">213</span><a name="line.213"></a>
-<span class="sourceLineNo">214</span> /** Internal identifier. */<a name="line.214"></a>
-<span class="sourceLineNo">215</span> private final ProviderBuilder.RandomSourceInternal internalIdentifier;<a name="line.215"></a>
-<span class="sourceLineNo">216</span><a name="line.216"></a>
-<span class="sourceLineNo">217</span> /**<a name="line.217"></a>
-<span class="sourceLineNo">218</span> * @param id Internal identifier.<a name="line.218"></a>
-<span class="sourceLineNo">219</span> */<a name="line.219"></a>
-<span class="sourceLineNo">220</span> RandomSource(ProviderBuilder.RandomSourceInternal id) {<a name="line.220"></a>
-<span class="sourceLineNo">221</span> internalIdentifier = id;<a name="line.221"></a>
-<span class="sourceLineNo">222</span> }<a name="line.222"></a>
-<span class="sourceLineNo">223</span><a name="line.223"></a>
-<span class="sourceLineNo">224</span> /**<a name="line.224"></a>
-<span class="sourceLineNo">225</span> * @return the internal identifier.<a name="line.225"></a>
-<span class="sourceLineNo">226</span> */<a name="line.226"></a>
-<span class="sourceLineNo">227</span> ProviderBuilder.RandomSourceInternal getInternalIdentifier() {<a name="line.227"></a>
-<span class="sourceLineNo">228</span> return internalIdentifier;<a name="line.228"></a>
-<span class="sourceLineNo">229</span> }<a name="line.229"></a>
-<span class="sourceLineNo">230</span><a name="line.230"></a>
-<span class="sourceLineNo">231</span> /**<a name="line.231"></a>
-<span class="sourceLineNo">232</span> * Checks whether the type of given {@code seed} is the native type<a name="line.232"></a>
-<span class="sourceLineNo">233</span> * of the implementation.<a name="line.233"></a>
-<span class="sourceLineNo">234</span> *<a name="line.234"></a>
-<span class="sourceLineNo">235</span> * @param seed Seed value.<a name="line.235"></a>
-<span class="sourceLineNo">236</span> * @return {@code true} if the type of {@code seed} is the native<a name="line.236"></a>
-<span class="sourceLineNo">237</span> * type for this RNG source.<a name="line.237"></a>
-<span class="sourceLineNo">238</span> */<a name="line.238"></a>
-<span class="sourceLineNo">239</span> public boolean isNativeSeed(Object seed) {<a name="line.239"></a>
-<span class="sourceLineNo">240</span> return internalIdentifier.isNativeSeed(seed);<a name="line.240"></a>
-<span class="sourceLineNo">241</span> }<a name="line.241"></a>
+<span class="sourceLineNo">019</span>import java.util.Arrays;<a name="line.19"></a>
+<span class="sourceLineNo">020</span>import org.apache.commons.rng.internal.ProviderBuilder;<a name="line.20"></a>
+<span class="sourceLineNo">021</span>import org.apache.commons.rng.internal.BaseProvider;<a name="line.21"></a>
+<span class="sourceLineNo">022</span>import org.apache.commons.rng.internal.util.SeedFactory;<a name="line.22"></a>
+<span class="sourceLineNo">023</span>import org.apache.commons.rng.internal.source64.TwoCmres;<a name="line.23"></a>
+<span class="sourceLineNo">024</span><a name="line.24"></a>
+<span class="sourceLineNo">025</span>/**<a name="line.25"></a>
+<span class="sourceLineNo">026</span> * This class provides the API for creating generators of random numbers.<a name="line.26"></a>
+<span class="sourceLineNo">027</span> * <p><a name="line.27"></a>
+<span class="sourceLineNo">028</span> * Usage examples:<a name="line.28"></a>
+<span class="sourceLineNo">029</span> * <pre><code><a name="line.29"></a>
+<span class="sourceLineNo">030</span> * UniformRandomProvider rng = RandomSource.create(RandomSource.MT);<a name="line.30"></a>
+<span class="sourceLineNo">031</span> * </code></pre><a name="line.31"></a>
+<span class="sourceLineNo">032</span> * or<a name="line.32"></a>
+<span class="sourceLineNo">033</span> * <pre><code><a name="line.33"></a>
+<span class="sourceLineNo">034</span> * final int[] seed = new int[] { 196, 9, 0, 226 };<a name="line.34"></a>
+<span class="sourceLineNo">035</span> * UniformRandomProvider rng = RandomSource.create(RandomSource.MT, seed);<a name="line.35"></a>
+<span class="sourceLineNo">036</span> * </code></pre><a name="line.36"></a>
+<span class="sourceLineNo">037</span> * or<a name="line.37"></a>
+<span class="sourceLineNo">038</span> * <pre><code><a name="line.38"></a>
+<span class="sourceLineNo">039</span> * final int[] seed = RandomSource.createIntArray(256);<a name="line.39"></a>
+<span class="sourceLineNo">040</span> * UniformRandomProvider rng = RandomSource.create(RandomSource.MT, seed);<a name="line.40"></a>
+<span class="sourceLineNo">041</span> * </code></pre><a name="line.41"></a>
+<span class="sourceLineNo">042</span> * where the first argument to method {@code create} is the identifier<a name="line.42"></a>
+<span class="sourceLineNo">043</span> * of the generator's concrete implementation, and the second the is the<a name="line.43"></a>
+<span class="sourceLineNo">044</span> * (optional) seed.<a name="line.44"></a>
+<span class="sourceLineNo">045</span> * <br><a name="line.45"></a>
+<span class="sourceLineNo">046</span> * In the first form, a random seed will be {@link SeedFactory generated<a name="line.46"></a>
+<span class="sourceLineNo">047</span> * automatically}; in the second form, a fixed seed is used; a random seed<a name="line.47"></a>
+<span class="sourceLineNo">048</span> * is explicitly generated in the third form.<a name="line.48"></a>
+<span class="sourceLineNo">049</span> * </p><a name="line.49"></a>
+<span class="sourceLineNo">050</span> *<a name="line.50"></a>
+<span class="sourceLineNo">051</span> * <p><a name="line.51"></a>
+<span class="sourceLineNo">052</span> * Seeding is the procedure by which a value (or set of values) is<a name="line.52"></a>
+<span class="sourceLineNo">053</span> * used to <i>initialize</i> a generator instance.<a name="line.53"></a>
+<span class="sourceLineNo">054</span> * The requirement that a given seed will always result in the same<a name="line.54"></a>
+<span class="sourceLineNo">055</span> * internal state allows to create different instances of a generator<a name="line.55"></a>
+<span class="sourceLineNo">056</span> * that will produce the same sequence of pseudo-random numbers.<a name="line.56"></a>
+<span class="sourceLineNo">057</span> * </p><a name="line.57"></a>
+<span class="sourceLineNo">058</span> *<a name="line.58"></a>
+<span class="sourceLineNo">059</span> * <p><a name="line.59"></a>
+<span class="sourceLineNo">060</span> * The type of data used as a seed depends on the concrete implementation<a name="line.60"></a>
+<span class="sourceLineNo">061</span> * as some types may not provide enough information to fully initialize<a name="line.61"></a>
+<span class="sourceLineNo">062</span> * the generator's internal state.<a name="line.62"></a>
+<span class="sourceLineNo">063</span> * <br><a name="line.63"></a>
+<span class="sourceLineNo">064</span> * The reference algorithm's seeding procedure (if provided) operates<a name="line.64"></a>
+<span class="sourceLineNo">065</span> * on a value of a (single) <i>native</i> type:<a name="line.65"></a>
+<span class="sourceLineNo">066</span> * Each concrete implementation's constructor creates an instance using<a name="line.66"></a>
+<span class="sourceLineNo">067</span> * the native type whose information contents is used to set the<a name="line.67"></a>
+<span class="sourceLineNo">068</span> * internal state.<a name="line.68"></a>
+<span class="sourceLineNo">069</span> * <br><a name="line.69"></a>
+<span class="sourceLineNo">070</span> * When the seed value passed by the caller is of the native type, it is<a name="line.70"></a>
+<span class="sourceLineNo">071</span> * expected that the sequences produced will be identical to those<a name="line.71"></a>
+<span class="sourceLineNo">072</span> * produced by other implementations of the same reference algorithm.<a name="line.72"></a>
+<span class="sourceLineNo">073</span> * <br><a name="line.73"></a>
+<span class="sourceLineNo">074</span> * However, when the seed value passed by the caller is not of the native<a name="line.74"></a>
+<span class="sourceLineNo">075</span> * type, a transformation is performed by this library and the resulting<a name="line.75"></a>
+<span class="sourceLineNo">076</span> * native type value will <i>not</i> contain more information than the<a name="line.76"></a>
+<span class="sourceLineNo">077</span> * original seed value.<a name="line.77"></a>
+<span class="sourceLineNo">078</span> * If the algorithm's native type is "simpler" than the type passed by<a name="line.78"></a>
+<span class="sourceLineNo">079</span> * the caller, then some (unused) information will even be lost.<a name="line.79"></a>
+<span class="sourceLineNo">080</span> * <br><a name="line.80"></a>
+<span class="sourceLineNo">081</span> * The transformation from non-native to native seed type is arbitrary,<a name="line.81"></a>
+<span class="sourceLineNo">082</span> * as long as it does not reduce the amount of information required by<a name="line.82"></a>
+<span class="sourceLineNo">083</span> * the algorithm to initialize its state.<a name="line.83"></a>
+<span class="sourceLineNo">084</span> * The consequence of the transformation is that sequences produced<a name="line.84"></a>
+<span class="sourceLineNo">085</span> * by this library may <i>not</i> be the same as the sequences produced<a name="line.85"></a>
+<span class="sourceLineNo">086</span> * by other implementations of the same algorithm!<a name="line.86"></a>
+<span class="sourceLineNo">087</span> * </p><a name="line.87"></a>
+<span class="sourceLineNo">088</span> *<a name="line.88"></a>
+<span class="sourceLineNo">089</span> * <p><a name="line.89"></a>
+<span class="sourceLineNo">090</span> * This class provides methods to generate random seeds (single values<a name="line.90"></a>
+<span class="sourceLineNo">091</span> * or arrays of values, of {@code int} or {@code long} types) that can<a name="line.91"></a>
+<span class="sourceLineNo">092</span> * be passed to the {@link RandomSource#create(RandomSource,Object,Object[])<a name="line.92"></a>
+<span class="sourceLineNo">093</span> * generators factory method}.<a name="line.93"></a>
+<span class="sourceLineNo">094</span> * <br><a name="line.94"></a>
+<span class="sourceLineNo">095</span> * Although the seed-generating methods defined in this class will likely<a name="line.95"></a>
+<span class="sourceLineNo">096</span> * return different values each time they are called, there is no guarantee<a name="line.96"></a>
+<span class="sourceLineNo">097</span> * that the resulting "seed" will always generate a <i>good</i> (i.e.<a name="line.97"></a>
+<span class="sourceLineNo">098</span> * sufficiently uniformly random for the intended purpose) sequence of<a name="line.98"></a>
+<span class="sourceLineNo">099</span> * numbers, even if the generator is good!<a name="line.99"></a>
+<span class="sourceLineNo">100</span> * The only way to ensure that the selected seed will make the generator<a name="line.100"></a>
+<span class="sourceLineNo">101</span> * produce a good sequence is to submit that sequence to a series of<a name="line.101"></a>
+<span class="sourceLineNo">102</span> * stringent tests, as provided by tools such as<a name="line.102"></a>
+<span class="sourceLineNo">103</span> * <a href="http://www.phy.duke.edu/~rgb/General/dieharder.php">dieharder</a><a name="line.103"></a>
+<span class="sourceLineNo">104</span> * or <a href="http://simul.iro.umontreal.ca/testu01/tu01.html">TestU01</a>.<a name="line.104"></a>
+<span class="sourceLineNo">105</span> * </p><a name="line.105"></a>
+<span class="sourceLineNo">106</span> *<a name="line.106"></a>
+<span class="sourceLineNo">107</span> * <p><a name="line.107"></a>
+<span class="sourceLineNo">108</span> * The current implementations have no provision for producing non-overlapping<a name="line.108"></a>
+<span class="sourceLineNo">109</span> * sequences.<a name="line.109"></a>
+<span class="sourceLineNo">110</span> * For parallel applications, a possible workaround is that each thread uses<a name="line.110"></a>
+<span class="sourceLineNo">111</span> * a generator of a different type (see {@link #TWO_CMRES_SELECT}).<a name="line.111"></a>
+<span class="sourceLineNo">112</span> * </p><a name="line.112"></a>
+<span class="sourceLineNo">113</span> *<a name="line.113"></a>
+<span class="sourceLineNo">114</span> * <p><a name="line.114"></a>
+<span class="sourceLineNo">115</span> * <b>Note:</b><a name="line.115"></a>
+<span class="sourceLineNo">116</span> * Seeding is not equivalent to restoring the internal state of an<a name="line.116"></a>
+<span class="sourceLineNo">117</span> * <i>already initialized</i> generator.<a name="line.117"></a>
+<span class="sourceLineNo">118</span> * Indeed, generators can have a state that is more complex than the<a name="line.118"></a>
+<span class="sourceLineNo">119</span> * seed, and seeding is thus a transformation (from seed to state).<a name="line.119"></a>
+<span class="sourceLineNo">120</span> * Implementations do not provide the inverse transformation (from<a name="line.120"></a>
+<span class="sourceLineNo">121</span> * state to seed), hence it is not generally possible to know the seed<a name="line.121"></a>
+<span class="sourceLineNo">122</span> * that would initialize a new generator instance to the current state<a name="line.122"></a>
+<span class="sourceLineNo">123</span> * of another instance.<a name="line.123"></a>
+<span class="sourceLineNo">124</span> * Reseeding is also inefficient if the purpose is to continue the<a name="line.124"></a>
+<span class="sourceLineNo">125</span> * same sequence where another instance left off, as it would require<a name="line.125"></a>
+<span class="sourceLineNo">126</span> * to "replay" all the calls performed by that other instance (and it<a name="line.126"></a>
+<span class="sourceLineNo">127</span> * would require to know the number of calls to the primary source of<a name="line.127"></a>
+<span class="sourceLineNo">128</span> * randomness, which is also not usually accessible).<a name="line.128"></a>
+<span class="sourceLineNo">129</span> * <br><a name="line.129"></a>
+<span class="sourceLineNo">130</span> * This factory thus provides a method for<a name="line.130"></a>
+<span class="sourceLineNo">131</span> * {@link #saveState(UniformRandomProvider) saving} the internal<a name="line.131"></a>
+<span class="sourceLineNo">132</span> * state of a generator.<a name="line.132"></a>
+<span class="sourceLineNo">133</span> * The state is wrapped in an {@link SourceState "opaque object"} to be<a name="line.133"></a>
+<span class="sourceLineNo">134</span> * used for {@link #restoreState(UniformRandomProvider,SourceState) restoring}<a name="line.134"></a>
+<span class="sourceLineNo">135</span> * a generator (of the same type) to an identical state (e.g. to allow<a name="line.135"></a>
+<span class="sourceLineNo">136</span> * persistent storage, or to continue a sequence from where the original<a name="line.136"></a>
+<span class="sourceLineNo">137</span> * instance left off).<a name="line.137"></a>
+<span class="sourceLineNo">138</span> * </p><a name="line.138"></a>
+<span class="sourceLineNo">139</span> *<a name="line.139"></a>
+<span class="sourceLineNo">140</span> * @since 1.0<a name="line.140"></a>
+<span class="sourceLineNo">141</span> */<a name="line.141"></a>
+<span class="sourceLineNo">142</span>public enum RandomSource {<a name="line.142"></a>
+<span class="sourceLineNo">143</span> /**<a name="line.143"></a>
+<span class="sourceLineNo">144</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.JDKRandom}.<a name="line.144"></a>
+<span class="sourceLineNo">145</span> * Native seed type: {@code Long}.<a name="line.145"></a>
+<span class="sourceLineNo">146</span> */<a name="line.146"></a>
+<span class="sourceLineNo">147</span> JDK(ProviderBuilder.RandomSourceInternal.JDK),<a name="line.147"></a>
+<span class="sourceLineNo">148</span> /**<a name="line.148"></a>
+<span class="sourceLineNo">149</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.Well512a}.<a name="line.149"></a>
+<span class="sourceLineNo">150</span> * Native seed type: {@code int[]}.<a name="line.150"></a>
+<span class="sourceLineNo">151</span> */<a name="line.151"></a>
+<span class="sourceLineNo">152</span> WELL_512_A(ProviderBuilder.RandomSourceInternal.WELL_512_A),<a name="line.152"></a>
+<span class="sourceLineNo">153</span> /**<a name="line.153"></a>
+<span class="sourceLineNo">154</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.Well1024a}.<a name="line.154"></a>
+<span class="sourceLineNo">155</span> * Native seed type: {@code int[]}.<a name="line.155"></a>
+<span class="sourceLineNo">156</span> */<a name="line.156"></a>
+<span class="sourceLineNo">157</span> WELL_1024_A(ProviderBuilder.RandomSourceInternal.WELL_1024_A),<a name="line.157"></a>
+<span class="sourceLineNo">158</span> /**<a name="line.158"></a>
+<span class="sourceLineNo">159</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.Well19937a}.<a name="line.159"></a>
+<span class="sourceLineNo">160</span> * Native seed type: {@code int[]}.<a name="line.160"></a>
+<span class="sourceLineNo">161</span> */<a name="line.161"></a>
+<span class="sourceLineNo">162</span> WELL_19937_A(ProviderBuilder.RandomSourceInternal.WELL_19937_A),<a name="line.162"></a>
+<span class="sourceLineNo">163</span> /**<a name="line.163"></a>
+<span class="sourceLineNo">164</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.Well19937c}.<a name="line.164"></a>
+<span class="sourceLineNo">165</span> * Native seed type: {@code int[]}.<a name="line.165"></a>
+<span class="sourceLineNo">166</span> */<a name="line.166"></a>
+<span class="sourceLineNo">167</span> WELL_19937_C(ProviderBuilder.RandomSourceInternal.WELL_19937_C),<a name="line.167"></a>
+<span class="sourceLineNo">168</span> /**<a name="line.168"></a>
+<span class="sourceLineNo">169</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.Well44497a}.<a name="line.169"></a>
+<span class="sourceLineNo">170</span> * Native seed type: {@code int[]}.<a name="line.170"></a>
+<span class="sourceLineNo">171</span> */<a name="line.171"></a>
+<span class="sourceLineNo">172</span> WELL_44497_A(ProviderBuilder.RandomSourceInternal.WELL_44497_A),<a name="line.172"></a>
+<span class="sourceLineNo">173</span> /**<a name="line.173"></a>
+<span class="sourceLineNo">174</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.Well44497b}.<a name="line.174"></a>
+<span class="sourceLineNo">175</span> * Native seed type: {@code int[]}.<a name="line.175"></a>
+<span class="sourceLineNo">176</span> */<a name="line.176"></a>
+<span class="sourceLineNo">177</span> WELL_44497_B(ProviderBuilder.RandomSourceInternal.WELL_44497_B),<a name="line.177"></a>
+<span class="sourceLineNo">178</span> /**<a name="line.178"></a>
+<span class="sourceLineNo">179</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.MersenneTwister}.<a name="line.179"></a>
+<span class="sourceLineNo">180</span> * Native seed type: {@code int[]}.<a name="line.180"></a>
+<span class="sourceLineNo">181</span> */<a name="line.181"></a>
+<span class="sourceLineNo">182</span> MT(ProviderBuilder.RandomSourceInternal.MT),<a name="line.182"></a>
+<span class="sourceLineNo">183</span> /**<a name="line.183"></a>
+<span class="sourceLineNo">184</span> * Source of randomness is {@link org.apache.commons.rng.internal.source32.ISAACRandom}.<a name="line.184"></a>
+<span class="sourceLineNo">185</span> * Native seed type: {@code int[]}.<a name="line.185"></a>
+<span class="sourceLineNo">186</span> */<a name="line.186"></a>
+<span class="sourceLineNo">187</span> ISAAC(ProviderBuilder.RandomSourceInternal.ISAAC),<a name="line.187"></a>
+<span class="sourceLineNo">188</span> /**<a name="line.188"></a>
+<span class="sourceLineNo">189</span> * Source of randomness is {@link org.apache.commons.rng.internal.source64.SplitMix64}.<a name="line.189"></a>
+<span class="sourceLineNo">190</span> * Native seed type: {@code Long}.<a name="line.190"></a>
+<span class="sourceLineNo">191</span> */<a name="line.191"></a>
+<span class="sourceLineNo">192</span> SPLIT_MIX_64(ProviderBuilder.RandomSourceInternal.SPLIT_MIX_64),<a name="line.192"></a>
+<span class="sourceLineNo">193</span> /**<a name="line.193"></a>
+<span class="sourceLineNo">194</span> * Source of randomness is {@link org.apache.commons.rng.internal.source64.XorShift1024Star}.<a name="line.194"></a>
+<span class="sourceLineNo">195</span> * Native seed type: {@code long[]}.<a name="line.195"></a>
+<span class="sourceLineNo">196</span> */<a name="line.196"></a>
+<span class="sourceLineNo">197</span> XOR_SHIFT_1024_S(ProviderBuilder.RandomSourceInternal.XOR_SHIFT_1024_S),<a name="line.197"></a>
+<span class="sourceLineNo">198</span> /**<a name="line.198"></a>
+<span class="sourceLineNo">199</span> * Source of randomness is {@link org.apache.commons.rng.internal.source64.TwoCmres}.<a name="line.199"></a>
+<span class="sourceLineNo">200</span> * Native seed type: {@code Integer}.<a name="line.200"></a>
+<span class="sourceLineNo">201</span> */<a name="line.201"></a>
+<span class="sourceLineNo">202</span> TWO_CMRES(ProviderBuilder.RandomSourceInternal.TWO_CMRES),<a name="line.202"></a>
+<span class="sourceLineNo">203</span> /**<a name="line.203"></a>
+<span class="sourceLineNo">204</span> * Source of randomness is {@link org.apache.commons.rng.internal.source64.TwoCmres},<a name="line.204"></a>
+<span class="sourceLineNo">205</span> * with explicit selection of the two subcycle generators.<a name="line.205"></a>
+<span class="sourceLineNo">206</span> * Native seed type: {@code Integer}.<a name="line.206"></a>
+<span class="sourceLineNo">207</span> */<a name="line.207"></a>
+<span class="sourceLineNo">208</span> TWO_CMRES_SELECT(ProviderBuilder.RandomSourceInternal.TWO_CMRES_SELECT),<a name="line.208"></a>
+<span class="sourceLineNo">209</span> /**<a name="line.209"></a>
+<span class="sourceLineNo">210</span> * Source of randomness is {@link org.apache.commons.rng.internal.source64.MersenneTwister64}.<a name="line.210"></a>
+<span class="sourceLineNo">211</span> * Native seed type: {@code long[]}.<a name="line.211"></a>
+<span class="sourceLineNo">212</span> */<a name="line.212"></a>
+<span class="sourceLineNo">213</span> MT_64(ProviderBuilder.RandomSourceInternal.MT_64);<a name="line.213"></a>
+<span class="sourceLineNo">214</span><a name="line.214"></a>
+<span class="sourceLineNo">215</span> /** Internal identifier. */<a name="line.215"></a>
+<span class="sourceLineNo">216</span> private final ProviderBuilder.RandomSourceInternal internalIdentifier;<a name="line.216"></a>
+<span class="sourceLineNo">217</span><a name="line.217"></a>
+<span class="sourceLineNo">218</span> /**<a name="line.218"></a>
+<span class="sourceLineNo">219</span> * Wraps the internal state of a {@link UniformRandomProvider}.<a name="line.219"></a>
+<span class="sourceLineNo">220</span> * Its purpose is to store all the data needed to recover the same<a name="line.220"></a>
+<span class="sourceLineNo">221</span> * state in order to restart a sequence where it left off.<a name="line.221"></a>
+<span class="sourceLineNo">222</span> * External code should not to modify the data contained in instances<a name="line.222"></a>
+<span class="sourceLineNo">223</span> * of this class.<a name="line.223"></a>
+<span class="sourceLineNo">224</span> */<a name="line.224"></a>
+<span class="sourceLineNo">225</span> public static class State {<a name="line.225"></a>
+<span class="sourceLineNo">226</span> /** Internal state. */<a name="line.226"></a>
+<span class="sourceLineNo">227</span> private final byte[] state;<a name="line.227"></a>
+<span class="sourceLineNo">228</span><a name="line.228"></a>
+<span class="sourceLineNo">229</span> /**<a name="line.229"></a>
+<span class="sourceLineNo">230</span> * Initializes an instance.<a name="line.230"></a>
+<span class="sourceLineNo">231</span> * The contents of the {@code state} argument is unspecified, and is<a name="line.231"></a>
+<span class="sourceLineNo">232</span> * guaranteed to be valid only if it was generated by implementations<a name="line.232"></a>
+<span class="sourceLineNo">233</span> * provided by this library.<a name="line.233"></a>
+<span class="sourceLineNo">234</span> *<a name="line.234"></a>
+<span class="sourceLineNo">235</span> * @param state Mapping of all the data which an implementation of<a name="line.235"></a>
+<span class="sourceLineNo">236</span> * {@link UniformRandomProvider} needs in order to reset its internal<a name="line.236"></a>
+<span class="sourceLineNo">237</span> * state.<a name="line.237"></a>
+<span class="sourceLineNo">238</span> */<a name="line.238"></a>
+<span class="sourceLineNo">239</span> public State(byte[] state) {<a name="line.239"></a>
+<span class="sourceLineNo">240</span> this.state = Arrays.copyOf(state, state.length);<a name="line.240"></a>
+<span class="sourceLineNo">241</span> }<a name="line.241"></a>
<span class="sourceLineNo">242</span><a name="line.242"></a>
-<span class="sourceLineNo">243</span> /**<a name="line.243"></a>
-<span class="sourceLineNo">244</span> * Marker interface used to define the "save" and "restore"<a name="line.244"></a>
-<span class="sourceLineNo">245</span> * functionality of the generators.<a name="line.245"></a>
-<span class="sourceLineNo">246</span> */<a name="line.246"></a>
-<span class="sourceLineNo">247</span> public interface State {}<a name="line.247"></a>
-<span class="sourceLineNo">248</span><a name="line.248"></a>
-<span class="sourceLineNo">249</span> /**<a name="line.249"></a>
-<span class="sourceLineNo">250</span> * Creates a random number generator with a random seed.<a name="line.250"></a>
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