📄 randomgenerator.java
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/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */package org.apache.commons.math.random;import java.io.Serializable;/** * Interface extracted from <code>java.util.Random</code>. This interface is * implemented by {@link AbstractRandomGenerator}. * * @since 1.1 * @version $Revision: 628614 $ $Date: 2008-02-17 21:47:53 -0700 (Sun, 17 Feb 2008) $ */public interface RandomGenerator extends Serializable { /** * Sets the seed of the underyling random number generator using a * <code>long</code> seed. Sequences of values generated starting with the * same seeds should be identical. * * @param seed the seed value */ void setSeed(long seed); /** * Generates random bytes and places them into a user-supplied * byte array. The number of random bytes produced is equal to * the length of the byte array. * * @param bytes the non-null byte array in which to put the * random bytes */ void nextBytes(byte[] bytes); /** * Returns the next pseudorandom, uniformly distributed <code>int</code> * value from this random number generator's sequence. * All 2<font size="-1"><sup>32</sup></font> possible <tt>int</tt> values * should be produced with (approximately) equal probability. * * @return the next pseudorandom, uniformly distributed <code>int</code> * value from this random number generator's sequence */ int nextInt(); /** * Returns a pseudorandom, uniformly distributed <tt>int</tt> value * between 0 (inclusive) and the specified value (exclusive), drawn from * this random number generator's sequence. * * @param n the bound on the random number to be returned. Must be * positive. * @return a pseudorandom, uniformly distributed <tt>int</tt> * value between 0 (inclusive) and n (exclusive). * @throws IllegalArgumentException if n is not positive. */ int nextInt(int n); /** * Returns the next pseudorandom, uniformly distributed <code>long</code> * value from this random number generator's sequence. All * 2<font size="-1"><sup>64</sup></font> possible <tt>long</tt> values * should be produced with (approximately) equal probability. * * @return the next pseudorandom, uniformly distributed <code>long</code> *value from this random number generator's sequence */ long nextLong(); /** * Returns the next pseudorandom, uniformly distributed * <code>boolean</code> value from this random number generator's * sequence. * * @return the next pseudorandom, uniformly distributed * <code>boolean</code> value from this random number generator's * sequence */ boolean nextBoolean(); /** * Returns the next pseudorandom, uniformly distributed <code>float</code> * value between <code>0.0</code> and <code>1.0</code> from this random * number generator's sequence. * * @return the next pseudorandom, uniformly distributed <code>float</code> * value between <code>0.0</code> and <code>1.0</code> from this * random number generator's sequence */ float nextFloat(); /** * Returns the next pseudorandom, uniformly distributed * <code>double</code> value between <code>0.0</code> and * <code>1.0</code> from this random number generator's sequence. * * @return the next pseudorandom, uniformly distributed * <code>double</code> value between <code>0.0</code> and * <code>1.0</code> from this random number generator's sequence */ double nextDouble(); /** * Returns the next pseudorandom, Gaussian ("normally") distributed * <code>double</code> value with mean <code>0.0</code> and standard * deviation <code>1.0</code> from this random number generator's sequence. * * @return the next pseudorandom, Gaussian ("normally") distributed * <code>double</code> value with mean <code>0.0</code> and * standard deviation <code>1.0</code> from this random number * generator's sequence */ double nextGaussian();}
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