Java tutorial
/** * 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.mahout.math; import java.util.Iterator; import java.util.Random; import org.apache.mahout.common.RandomUtils; import org.apache.mahout.math.ReadOnlyVector; import com.google.common.primitives.Longs; /** * * Vector with repeatable random values. * * Can only use java.util.Random as generator from RandomUtils does not honor setSeed() * * Change to use MurmurHash projectors directly! */ public class RandomVector extends ReadOnlyVector { final private Random rnd; final private long baseSeed; final boolean gaussian; // required for serialization public RandomVector() { super(0); baseSeed = 0; gaussian = false; rnd = RandomUtils.getRandom(); } /* * @param size * @param seed * @param gaussian */ public RandomVector(int size, long seed, boolean gaussian) { super(size); baseSeed = seed; this.gaussian = gaussian; rnd = RandomUtils.getRandom(seed); } /* * @param size * @param rnd */ public RandomVector(int size, Random rnd, boolean gaussian) { super(size); this.rnd = rnd; baseSeed = rnd.nextLong(); this.gaussian = gaussian; } public boolean isDense() { return true; } public boolean isSequentialAccess() { return false; } public int getNumNondefaultElements() { return size(); } public double getQuick(int index) { rnd.setSeed(getSeed(index)); return gaussian ? rnd.nextGaussian() : rnd.nextDouble(); } private long getSeed(int index) { return baseSeed + index; } public Iterator<Element> iterateNonZero() { return new AllIterator(this); } public Iterator<Element> iterator() { return new AllIterator(this); } @Override public boolean equals(Object o) { if (o.getClass() == RandomVector.class) { RandomVector r = (RandomVector) o; return size() == r.size() && baseSeed == r.baseSeed && gaussian == r.gaussian; } return false; } @Override public int hashCode() { return Longs.hashCode(baseSeed) ^ Longs.hashCode(size() ^ (gaussian ? 7 : 11)); } }