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📄 randomgenerator.java

📁 Apache的common math数学软件包
💻 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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