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Statistical sampling library for use in virtdata libraries, based on apache commons math 4

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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.math4.random;

import org.apache.commons.math4.util.FastMath;
import org.apache.commons.rng.RestorableUniformRandomProvider;
import org.apache.commons.rng.core.RandomProviderDefaultState;
import org.apache.commons.rng.simple.RandomSource;

import java.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.io.Serializable;

/**
 * Adaptor that delegates to a
 * {@link org.apache.commons.rng.UniformRandomProvider} instance.
 * 

* It is provided for users who wish to test the new RNG implementations * the current generators (up to version 3.6 of Commons Math) in * codes that require the {@code RandomGenerator} interface. *

*

* Applications should upgrade to use the new generators ASAP. * If problems are found that jeopardize the upgrade, please report them * on the project's * * issue tracking system. *

* *

* Notes: *

    *
  • * The * {@link RandomGenerator#setSeed(int) setSeed(int)}, * {@link RandomGenerator#setSeed(int[]) setSeed(int[])} and * {@link RandomGenerator#setSeed(long) setSeed(long)} * methods of the {@link RandomGenerator} are not part of the * {@link org.apache.commons.rng.UniformRandomProvider new API}. *
  • *
  • * The new RNG implementations are not {@code Serializable}. * Use {@link RestorableUniformRandomProvider#saveState()} * instead. *
  • *
  • * {@link RandomGenerator#nextGaussian() nextGaussian()} is not * part of the {@link org.apache.commons.rng.UniformRandomProvider * new API} as it defines a "post-processing" of the output of a * uniform RNG in order to follow a different distribution. *
  • *
* * @since 4.0 * * @deprecated As of 4.0. This class is made available for testing * the {@link RandomSource new RNG implementations} in existing * applications. * It will be removed in the next major release. */ @Deprecated public final class RngAdaptor implements RandomGenerator, Serializable { /** Serializable version identifier. */ private static final long serialVersionUID = 12345L; /** Source. */ private final RandomSource source; /** Delegate. */ private transient RestorableUniformRandomProvider delegate; /** Next gaussian. */ private double nextGaussian = Double.NaN; /** * Creates a new instance. * * @param source Source of randomness. */ public RngAdaptor(RandomSource source) { this(source, null); } /** * Creates a new instance. * * @param source Source of randomness. * @param seed Seed. Can be {@code null}. */ public RngAdaptor(RandomSource source, Object seed) { this.source = source; delegate = RandomSource.create(source, seed); } /** {@inheritDoc} */ @Override public void setSeed(int seed) { delegate = RandomSource.create(source, seed); clear(); } /** {@inheritDoc} */ @Override public void setSeed(int[] seed) { delegate = RandomSource.create(source, seed); clear(); } /** {@inheritDoc} */ @Override public void setSeed(long seed) { delegate = RandomSource.create(source, seed); clear(); } /** {@inheritDoc} */ @Override public boolean nextBoolean() { return delegate.nextBoolean(); } /** {@inheritDoc} */ @Override public void nextBytes(byte[] bytes) { delegate.nextBytes(bytes); } /** {@inheritDoc} */ @Override public double nextDouble() { return delegate.nextDouble(); } /** {@inheritDoc} */ @Override public float nextFloat() { return delegate.nextFloat(); } /** {@inheritDoc} */ @Override public double nextGaussian() { final double random; if (Double.isNaN(nextGaussian)) { // generate a new pair of gaussian numbers final double x = nextDouble(); final double y = nextDouble(); final double alpha = 2 * FastMath.PI * x; final double r = FastMath.sqrt(-2 * FastMath.log(y)); random = r * FastMath.cos(alpha); nextGaussian = r * FastMath.sin(alpha); } else { // use the second element of the pair already generated random = nextGaussian; nextGaussian = Double.NaN; } return random; } /** {@inheritDoc} */ @Override public int nextInt() { return delegate.nextInt(); } /** {@inheritDoc} */ @Override public int nextInt(int n) { return delegate.nextInt(n); } /** {@inheritDoc} */ @Override public long nextLong() { return delegate.nextLong(); } /** * Clears the cache used by the default implementation of * {@link #nextGaussian}. */ private void clear() { nextGaussian = Double.NaN; } /** * @param out Output stream. * @throws IOException if an error occurs. */ private void writeObject(ObjectOutputStream out) throws IOException { // Write non-transient fields. out.defaultWriteObject(); // Save current state. out.writeObject(((RandomProviderDefaultState) delegate.saveState()).getState()); } /** * @param in Input stream. * @throws IOException if an error occurs. * @throws ClassNotFoundException if an error occurs. */ private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException { // Read non-transient fields. in.defaultReadObject(); // Recreate the "delegate" from serialized info. delegate = RandomSource.create(source); // And restore its state. final RandomProviderDefaultState state = new RandomProviderDefaultState((byte[]) in.readObject()); delegate.restoreState(state); } }




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