/* * Artificial Intelligence for Humans * Volume 1: Fundamental Algorithms * Java Version * http://www.aifh.org * http://www.jeffheaton.com * * Code repository: * https://github.com/jeffheaton/aifh * Copyright 2013 by Jeff Heaton * * Licensed 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. * * For more information on Heaton Research copyrights, licenses * and trademarks visit: * http://www.heatonresearch.com/copyright */ package com.heatonresearch.aifh.randomize; import java.util.Random; /** * A wrapper over Java's built in random number generator. */ public class BasicGenerateRandom extends AbstractGenerateRandom { /** * The underlying random number generator. */ private final Random rand; /** * Construct a random number generator with the specified seed. * * @param seed The seed. */ public BasicGenerateRandom(final long seed) { this.rand = new Random(seed); } /** * Construct a random number generator with a time-based seed. */ public BasicGenerateRandom() { this.rand = new Random(); } /** * {@inheritDoc} */ @Override public int nextInt() { return this.rand.nextInt(); } /** * {@inheritDoc} */ @Override public double nextDouble() { return this.rand.nextDouble(); } /** * {@inheritDoc} */ @Override public float nextFloat() { return this.rand.nextFloat(); } /** * {@inheritDoc} */ @Override public long nextLong() { return this.rand.nextLong(); } /** * {@inheritDoc} */ @Override public boolean nextBoolean() { return this.rand.nextBoolean(); } /** * {@inheritDoc} */ @Override public double nextGaussian() { return this.rand.nextGaussian(); } }