/* * Artificial Intelligence for Humans * Volume 3: Deep Learning and Neural Networks * Java Version * http://www.aifh.org * http://www.jeffheaton.com * * Code repository: * https://github.com/jeffheaton/aifh * * Copyright 2014-2015 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; /** * Provides a foundation for most random number generation. This allows the nextDouble to generate * the other types. */ public abstract class AbstractGenerateRandom implements GenerateRandom { /** * {@inheritDoc} */ @Override public int nextInt(final int low, final int high) { return (low + (int) (nextDouble() * ((high - low)))); } /** * {@inheritDoc} */ @Override public double nextDouble(final double high) { return nextDouble(0, high); } /** * {@inheritDoc} */ @Override public double nextDouble(final double low, final double high) { return (low + (nextDouble() * ((high - low)))); } /** * {@inheritDoc} */ @Override public int nextInt(final int range) { return nextInt(0, range); } }