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| <pre><span class="sourceLineNo">001</span>/*-<a name="line.1"></a> |
| <span class="sourceLineNo">002</span> *******************************************************************************<a name="line.2"></a> |
| <span class="sourceLineNo">003</span> * Copyright (c) 2011, 2016 Diamond Light Source Ltd.<a name="line.3"></a> |
| <span class="sourceLineNo">004</span> * All rights reserved. This program and the accompanying materials<a name="line.4"></a> |
| <span class="sourceLineNo">005</span> * are made available under the terms of the Eclipse Public License v1.0<a name="line.5"></a> |
| <span class="sourceLineNo">006</span> * which accompanies this distribution, and is available at<a name="line.6"></a> |
| <span class="sourceLineNo">007</span> * http://www.eclipse.org/legal/epl-v10.html<a name="line.7"></a> |
| <span class="sourceLineNo">008</span> *<a name="line.8"></a> |
| <span class="sourceLineNo">009</span> * Contributors:<a name="line.9"></a> |
| <span class="sourceLineNo">010</span> * Peter Chang - initial API and implementation and/or initial documentation<a name="line.10"></a> |
| <span class="sourceLineNo">011</span> *******************************************************************************/<a name="line.11"></a> |
| <span class="sourceLineNo">012</span><a name="line.12"></a> |
| <span class="sourceLineNo">013</span>package org.eclipse.january.dataset;<a name="line.13"></a> |
| <span class="sourceLineNo">014</span><a name="line.14"></a> |
| <span class="sourceLineNo">015</span><a name="line.15"></a> |
| <span class="sourceLineNo">016</span>import java.io.IOException;<a name="line.16"></a> |
| <span class="sourceLineNo">017</span><a name="line.17"></a> |
| <span class="sourceLineNo">018</span>import org.apache.commons.math3.random.MersenneTwister;<a name="line.18"></a> |
| <span class="sourceLineNo">019</span>import org.apache.commons.math3.random.RandomDataGenerator;<a name="line.19"></a> |
| <span class="sourceLineNo">020</span>import org.apache.commons.math3.random.RandomGenerator;<a name="line.20"></a> |
| <span class="sourceLineNo">021</span>import org.eclipse.january.IMonitor;<a name="line.21"></a> |
| <span class="sourceLineNo">022</span>import org.eclipse.january.io.ILazyLoader;<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> * Class to hold methods to create random datasets<a name="line.25"></a> |
| <span class="sourceLineNo">026</span> * <a name="line.26"></a> |
| <span class="sourceLineNo">027</span> * Emulates numpy.random<a name="line.27"></a> |
| <span class="sourceLineNo">028</span> */<a name="line.28"></a> |
| <span class="sourceLineNo">029</span>public class Random {<a name="line.29"></a> |
| <span class="sourceLineNo">030</span> private final static RandomGenerator generator = new MersenneTwister();<a name="line.30"></a> |
| <span class="sourceLineNo">031</span> private final static RandomDataGenerator prng = new RandomDataGenerator(generator);<a name="line.31"></a> |
| <span class="sourceLineNo">032</span><a name="line.32"></a> |
| <span class="sourceLineNo">033</span> /**<a name="line.33"></a> |
| <span class="sourceLineNo">034</span> * @param seed<a name="line.34"></a> |
| <span class="sourceLineNo">035</span> */<a name="line.35"></a> |
| <span class="sourceLineNo">036</span> public static void seed(final int seed) {<a name="line.36"></a> |
| <span class="sourceLineNo">037</span> generator.setSeed(seed);<a name="line.37"></a> |
| <span class="sourceLineNo">038</span> }<a name="line.38"></a> |
| <span class="sourceLineNo">039</span><a name="line.39"></a> |
| <span class="sourceLineNo">040</span> /**<a name="line.40"></a> |
| <span class="sourceLineNo">041</span> * @param seed<a name="line.41"></a> |
| <span class="sourceLineNo">042</span> */<a name="line.42"></a> |
| <span class="sourceLineNo">043</span> public static void seed(final int[] seed) {<a name="line.43"></a> |
| <span class="sourceLineNo">044</span> generator.setSeed(seed);<a name="line.44"></a> |
| <span class="sourceLineNo">045</span> }<a name="line.45"></a> |
| <span class="sourceLineNo">046</span><a name="line.46"></a> |
| <span class="sourceLineNo">047</span> /**<a name="line.47"></a> |
| <span class="sourceLineNo">048</span> * @param seed<a name="line.48"></a> |
| <span class="sourceLineNo">049</span> */<a name="line.49"></a> |
| <span class="sourceLineNo">050</span> public static void seed(final long seed) {<a name="line.50"></a> |
| <span class="sourceLineNo">051</span> generator.setSeed(seed);<a name="line.51"></a> |
| <span class="sourceLineNo">052</span> }<a name="line.52"></a> |
| <span class="sourceLineNo">053</span><a name="line.53"></a> |
| <span class="sourceLineNo">054</span> /**<a name="line.54"></a> |
| <span class="sourceLineNo">055</span> * @param shape<a name="line.55"></a> |
| <span class="sourceLineNo">056</span> * @return an array of values sampled from a uniform distribution between 0 (inclusive) and 1 (exclusive) <a name="line.56"></a> |
| <span class="sourceLineNo">057</span> */<a name="line.57"></a> |
| <span class="sourceLineNo">058</span> public static DoubleDataset rand(final int... shape) {<a name="line.58"></a> |
| <span class="sourceLineNo">059</span> DoubleDataset data = DatasetFactory.zeros(DoubleDataset.class, shape);<a name="line.59"></a> |
| <span class="sourceLineNo">060</span> double[] buf = data.getData();<a name="line.60"></a> |
| <span class="sourceLineNo">061</span><a name="line.61"></a> |
| <span class="sourceLineNo">062</span> for (int i = 0; i < buf.length; i++) {<a name="line.62"></a> |
| <span class="sourceLineNo">063</span> buf[i] = generator.nextDouble();<a name="line.63"></a> |
| <span class="sourceLineNo">064</span> }<a name="line.64"></a> |
| <span class="sourceLineNo">065</span><a name="line.65"></a> |
| <span class="sourceLineNo">066</span> return data;<a name="line.66"></a> |
| <span class="sourceLineNo">067</span> }<a name="line.67"></a> |
| <span class="sourceLineNo">068</span><a name="line.68"></a> |
| <span class="sourceLineNo">069</span> /**<a name="line.69"></a> |
| <span class="sourceLineNo">070</span> * @param low<a name="line.70"></a> |
| <span class="sourceLineNo">071</span> * @param high<a name="line.71"></a> |
| <span class="sourceLineNo">072</span> * @param shape<a name="line.72"></a> |
| <span class="sourceLineNo">073</span> * @return an array of values sampled from a uniform distribution between low and high (both exclusive) <a name="line.73"></a> |
| <span class="sourceLineNo">074</span> */<a name="line.74"></a> |
| <span class="sourceLineNo">075</span> public static DoubleDataset rand(double low, double high, final int... shape) {<a name="line.75"></a> |
| <span class="sourceLineNo">076</span> DoubleDataset data = DatasetFactory.zeros(DoubleDataset.class, shape);<a name="line.76"></a> |
| <span class="sourceLineNo">077</span> double[] buf = data.getData();<a name="line.77"></a> |
| <span class="sourceLineNo">078</span><a name="line.78"></a> |
| <span class="sourceLineNo">079</span> for (int i = 0; i < buf.length; i++) {<a name="line.79"></a> |
| <span class="sourceLineNo">080</span> buf[i] = prng.nextUniform(low, high);<a name="line.80"></a> |
| <span class="sourceLineNo">081</span> }<a name="line.81"></a> |
| <span class="sourceLineNo">082</span><a name="line.82"></a> |
| <span class="sourceLineNo">083</span> return data;<a name="line.83"></a> |
| <span class="sourceLineNo">084</span> }<a name="line.84"></a> |
| <span class="sourceLineNo">085</span><a name="line.85"></a> |
| <span class="sourceLineNo">086</span> /**<a name="line.86"></a> |
| <span class="sourceLineNo">087</span> * @param shape<a name="line.87"></a> |
| <span class="sourceLineNo">088</span> * @return an array of values sampled from a Gaussian distribution with mean 0 and variance 1 <a name="line.88"></a> |
| <span class="sourceLineNo">089</span> * <a name="line.89"></a> |
| <span class="sourceLineNo">090</span> * (The term Gaussian here is a description of a shape of data taken from the mathematician of the<a name="line.90"></a> |
| <span class="sourceLineNo">091</span> * same name Carl Friedrich Gauss http://en.wikipedia.org/wiki/Carl_Friedrich_Gauss born in 1777.)<a name="line.91"></a> |
| <span class="sourceLineNo">092</span> */<a name="line.92"></a> |
| <span class="sourceLineNo">093</span> public static DoubleDataset randn(final int... shape) {<a name="line.93"></a> |
| <span class="sourceLineNo">094</span> DoubleDataset data = DatasetFactory.zeros(DoubleDataset.class, shape);<a name="line.94"></a> |
| <span class="sourceLineNo">095</span> double[] buf = data.getData();<a name="line.95"></a> |
| <span class="sourceLineNo">096</span><a name="line.96"></a> |
| <span class="sourceLineNo">097</span> for (int i = 0; i < buf.length; i++) {<a name="line.97"></a> |
| <span class="sourceLineNo">098</span> buf[i] = generator.nextGaussian();<a name="line.98"></a> |
| <span class="sourceLineNo">099</span> }<a name="line.99"></a> |
| <span class="sourceLineNo">100</span><a name="line.100"></a> |
| <span class="sourceLineNo">101</span> return data;<a name="line.101"></a> |
| <span class="sourceLineNo">102</span> }<a name="line.102"></a> |
| <span class="sourceLineNo">103</span><a name="line.103"></a> |
| <span class="sourceLineNo">104</span> /**<a name="line.104"></a> |
| <span class="sourceLineNo">105</span> * @param mean<a name="line.105"></a> |
| <span class="sourceLineNo">106</span> * @param std standard deviation<a name="line.106"></a> |
| <span class="sourceLineNo">107</span> * @param shape<a name="line.107"></a> |
| <span class="sourceLineNo">108</span> * @return an array of values sampled from a Gaussian distribution with given mean and standard deviation <a name="line.108"></a> |
| <span class="sourceLineNo">109</span> */<a name="line.109"></a> |
| <span class="sourceLineNo">110</span> public static DoubleDataset randn(double mean, double std, final int... shape) {<a name="line.110"></a> |
| <span class="sourceLineNo">111</span> DoubleDataset data = DatasetFactory.zeros(DoubleDataset.class, shape);<a name="line.111"></a> |
| <span class="sourceLineNo">112</span> double[] buf = data.getData();<a name="line.112"></a> |
| <span class="sourceLineNo">113</span><a name="line.113"></a> |
| <span class="sourceLineNo">114</span> for (int i = 0; i < buf.length; i++) {<a name="line.114"></a> |
| <span class="sourceLineNo">115</span> buf[i] = prng.nextGaussian(mean, std);<a name="line.115"></a> |
| <span class="sourceLineNo">116</span> }<a name="line.116"></a> |
| <span class="sourceLineNo">117</span><a name="line.117"></a> |
| <span class="sourceLineNo">118</span> return data;<a name="line.118"></a> |
| <span class="sourceLineNo">119</span> }<a name="line.119"></a> |
| <span class="sourceLineNo">120</span><a name="line.120"></a> |
| <span class="sourceLineNo">121</span> /**<a name="line.121"></a> |
| <span class="sourceLineNo">122</span> * @param low <a name="line.122"></a> |
| <span class="sourceLineNo">123</span> * @param high<a name="line.123"></a> |
| <span class="sourceLineNo">124</span> * @param shape<a name="line.124"></a> |
| <span class="sourceLineNo">125</span> * @return an array of values sampled from a discrete uniform distribution in range [low, high)<a name="line.125"></a> |
| <span class="sourceLineNo">126</span> */<a name="line.126"></a> |
| <span class="sourceLineNo">127</span> public static IntegerDataset randint(final int low, final int high, final int[] shape) {<a name="line.127"></a> |
| <span class="sourceLineNo">128</span> return random_integers(low, high-1, shape);<a name="line.128"></a> |
| <span class="sourceLineNo">129</span> }<a name="line.129"></a> |
| <span class="sourceLineNo">130</span><a name="line.130"></a> |
| <span class="sourceLineNo">131</span> /**<a name="line.131"></a> |
| <span class="sourceLineNo">132</span> * @param low <a name="line.132"></a> |
| <span class="sourceLineNo">133</span> * @param high <a name="line.133"></a> |
| <span class="sourceLineNo">134</span> * @param shape<a name="line.134"></a> |
| <span class="sourceLineNo">135</span> * @return an array of values sampled from a discrete uniform distribution in range [low, high]<a name="line.135"></a> |
| <span class="sourceLineNo">136</span> */<a name="line.136"></a> |
| <span class="sourceLineNo">137</span> public static IntegerDataset random_integers(final int low, final int high, final int[] shape) {<a name="line.137"></a> |
| <span class="sourceLineNo">138</span> IntegerDataset data = DatasetFactory.zeros(IntegerDataset.class, shape);<a name="line.138"></a> |
| <span class="sourceLineNo">139</span> int[] buf = data.getData();<a name="line.139"></a> |
| <span class="sourceLineNo">140</span><a name="line.140"></a> |
| <span class="sourceLineNo">141</span> if (low == high) {<a name="line.141"></a> |
| <span class="sourceLineNo">142</span> for (int i = 0; i < buf.length; i++) {<a name="line.142"></a> |
| <span class="sourceLineNo">143</span> buf[i] = low;<a name="line.143"></a> |
| <span class="sourceLineNo">144</span> } <a name="line.144"></a> |
| <span class="sourceLineNo">145</span> } else {<a name="line.145"></a> |
| <span class="sourceLineNo">146</span> for (int i = 0; i < buf.length; i++) {<a name="line.146"></a> |
| <span class="sourceLineNo">147</span> buf[i] = prng.nextInt(low, high);<a name="line.147"></a> |
| <span class="sourceLineNo">148</span> }<a name="line.148"></a> |
| <span class="sourceLineNo">149</span> }<a name="line.149"></a> |
| <span class="sourceLineNo">150</span><a name="line.150"></a> |
| <span class="sourceLineNo">151</span> return data;<a name="line.151"></a> |
| <span class="sourceLineNo">152</span> }<a name="line.152"></a> |
| <span class="sourceLineNo">153</span><a name="line.153"></a> |
| <span class="sourceLineNo">154</span> /**<a name="line.154"></a> |
| <span class="sourceLineNo">155</span> * @param beta <a name="line.155"></a> |
| <span class="sourceLineNo">156</span> * @param shape<a name="line.156"></a> |
| <span class="sourceLineNo">157</span> * @return an array of values sampled from an exponential distribution with mean beta<a name="line.157"></a> |
| <span class="sourceLineNo">158</span> */<a name="line.158"></a> |
| <span class="sourceLineNo">159</span> public static DoubleDataset exponential(final double beta, final int... shape) {<a name="line.159"></a> |
| <span class="sourceLineNo">160</span> DoubleDataset data = DatasetFactory.zeros(DoubleDataset.class, shape);<a name="line.160"></a> |
| <span class="sourceLineNo">161</span> double[] buf = data.getData();<a name="line.161"></a> |
| <span class="sourceLineNo">162</span><a name="line.162"></a> |
| <span class="sourceLineNo">163</span> for (int i = 0; i < buf.length; i++) {<a name="line.163"></a> |
| <span class="sourceLineNo">164</span> buf[i] = prng.nextExponential(beta);<a name="line.164"></a> |
| <span class="sourceLineNo">165</span> }<a name="line.165"></a> |
| <span class="sourceLineNo">166</span><a name="line.166"></a> |
| <span class="sourceLineNo">167</span> return data;<a name="line.167"></a> |
| <span class="sourceLineNo">168</span> }<a name="line.168"></a> |
| <span class="sourceLineNo">169</span><a name="line.169"></a> |
| <span class="sourceLineNo">170</span> /**<a name="line.170"></a> |
| <span class="sourceLineNo">171</span> * @param lam <a name="line.171"></a> |
| <span class="sourceLineNo">172</span> * @param shape<a name="line.172"></a> |
| <span class="sourceLineNo">173</span> * @return an array of values sampled from an exponential distribution with mean lambda<a name="line.173"></a> |
| <span class="sourceLineNo">174</span> */<a name="line.174"></a> |
| <span class="sourceLineNo">175</span> public static IntegerDataset poisson(final double lam, final int... shape) {<a name="line.175"></a> |
| <span class="sourceLineNo">176</span> IntegerDataset data = DatasetFactory.zeros(IntegerDataset.class, shape);<a name="line.176"></a> |
| <span class="sourceLineNo">177</span> int[] buf = data.getData();<a name="line.177"></a> |
| <span class="sourceLineNo">178</span><a name="line.178"></a> |
| <span class="sourceLineNo">179</span> for (int i = 0; i < buf.length; i++) {<a name="line.179"></a> |
| <span class="sourceLineNo">180</span> buf[i] = (int) prng.nextPoisson(lam);<a name="line.180"></a> |
| <span class="sourceLineNo">181</span> }<a name="line.181"></a> |
| <span class="sourceLineNo">182</span><a name="line.182"></a> |
| <span class="sourceLineNo">183</span> return data;<a name="line.183"></a> |
| <span class="sourceLineNo">184</span> }<a name="line.184"></a> |
| <span class="sourceLineNo">185</span><a name="line.185"></a> |
| <span class="sourceLineNo">186</span> /**<a name="line.186"></a> |
| <span class="sourceLineNo">187</span> * @param shape<a name="line.187"></a> |
| <span class="sourceLineNo">188</span> * @return a lazy dataset with uniformly distributed random numbers<a name="line.188"></a> |
| <span class="sourceLineNo">189</span> */<a name="line.189"></a> |
| <span class="sourceLineNo">190</span> public static ILazyDataset lazyRand(int... shape) {<a name="line.190"></a> |
| <span class="sourceLineNo">191</span> return lazyRand(Dataset.FLOAT64, "random", shape);<a name="line.191"></a> |
| <span class="sourceLineNo">192</span> }<a name="line.192"></a> |
| <span class="sourceLineNo">193</span><a name="line.193"></a> |
| <span class="sourceLineNo">194</span> /**<a name="line.194"></a> |
| <span class="sourceLineNo">195</span> * @param name<a name="line.195"></a> |
| <span class="sourceLineNo">196</span> * @param shape<a name="line.196"></a> |
| <span class="sourceLineNo">197</span> * @return a lazy dataset with uniformly distributed random numbers<a name="line.197"></a> |
| <span class="sourceLineNo">198</span> */<a name="line.198"></a> |
| <span class="sourceLineNo">199</span> public static ILazyDataset lazyRand(String name, int... shape) {<a name="line.199"></a> |
| <span class="sourceLineNo">200</span> return lazyRand(Dataset.FLOAT64, name, shape);<a name="line.200"></a> |
| <span class="sourceLineNo">201</span> }<a name="line.201"></a> |
| <span class="sourceLineNo">202</span><a name="line.202"></a> |
| <span class="sourceLineNo">203</span> /**<a name="line.203"></a> |
| <span class="sourceLineNo">204</span> * @param dtype<a name="line.204"></a> |
| <span class="sourceLineNo">205</span> * @param name<a name="line.205"></a> |
| <span class="sourceLineNo">206</span> * @param shape<a name="line.206"></a> |
| <span class="sourceLineNo">207</span> * @return a lazy dataset with uniformly distributed random numbers<a name="line.207"></a> |
| <span class="sourceLineNo">208</span> */<a name="line.208"></a> |
| <span class="sourceLineNo">209</span> public static ILazyDataset lazyRand(int dtype, String name, int... shape) {<a name="line.209"></a> |
| <span class="sourceLineNo">210</span> <a name="line.210"></a> |
| <span class="sourceLineNo">211</span> return new LazyDataset(name, dtype, shape, new ILazyLoader() {<a name="line.211"></a> |
| <span class="sourceLineNo">212</span> private static final long serialVersionUID = ILazyLoader.serialVersionUID;<a name="line.212"></a> |
| <span class="sourceLineNo">213</span><a name="line.213"></a> |
| <span class="sourceLineNo">214</span> @Override<a name="line.214"></a> |
| <span class="sourceLineNo">215</span> public boolean isFileReadable() {<a name="line.215"></a> |
| <span class="sourceLineNo">216</span> return true;<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> @Override<a name="line.219"></a> |
| <span class="sourceLineNo">220</span> public IDataset getDataset(IMonitor mon, SliceND slice) throws IOException {<a name="line.220"></a> |
| <span class="sourceLineNo">221</span> return rand(slice.getShape());<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>}<a name="line.225"></a> |
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