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package de.lmu.ifi.dbs.elki.datasource;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2012
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import de.lmu.ifi.dbs.elki.data.DoubleVector;
import de.lmu.ifi.dbs.elki.data.VectorUtil;
import de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation;
import de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle;
import de.lmu.ifi.dbs.elki.datasource.filter.ObjectFilter;
import de.lmu.ifi.dbs.elki.logging.Logging;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.LongParameter;
/**
* Produce a database of random double vectors with each dimension in [0:1]
*
* @author Erich Schubert
*/
public class RandomDoubleVectorDatabaseConnection extends AbstractDatabaseConnection {
/**
* Dimensionality
*/
protected int dim = -1;
/**
* Size of database to generate
*/
protected int size = -1;
/**
* Seed to use
*/
protected Long seed;
/**
* Constructor.
*
* @param dim Dimensionality
* @param size Database size
* @param seed Random seed
* @param filters
*/
public RandomDoubleVectorDatabaseConnection(int dim, int size, Long seed, List<ObjectFilter> filters) {
super(filters);
this.dim = dim;
this.size = size;
this.seed = seed;
}
private static final Logging logger = Logging.getLogger(RandomDoubleVectorDatabaseConnection.class);
@Override
public MultipleObjectsBundle loadData() {
VectorFieldTypeInformation<DoubleVector> type = new VectorFieldTypeInformation<DoubleVector>(DoubleVector.class, dim, DoubleVector.STATIC);
List<DoubleVector> vectors = new ArrayList<DoubleVector>(size);
// Setup random generator
final Random rand;
if(seed == null) {
rand = new Random();
}
else {
rand = new Random(seed);
}
// Produce random vectors
DoubleVector factory = new DoubleVector(new double[dim]);
for(int i = 0; i < size; i++) {
vectors.add(VectorUtil.randomVector(factory, rand));
}
return MultipleObjectsBundle.makeSimple(type, vectors);
}
@Override
protected Logging getLogger() {
return logger;
}
/**
* Parameterization class.
*
* @author Erich Schubert
*
* @apiviz.exclude
*/
public static class Parameterizer extends AbstractDatabaseConnection.Parameterizer {
/**
* Random generator seed.
* <p>
* Key: {@code -dbc.seed}
* </p>
*/
public static final OptionID SEED_ID = OptionID.getOrCreateOptionID("dbc.genseed", "Seed for randomly generating vectors");
/**
* Database to specify the random vector dimensionality
* <p>
* Key: {@code -dbc.dim}
* </p>
*/
public static final OptionID DIM_ID = OptionID.getOrCreateOptionID("dbc.dim", "Dimensionality of the vectors to generate.");
/**
* Parameter to specify the database size to generate.
* <p>
* Key: {@code -dbc.size}
* </p>
*/
public static final OptionID SIZE_ID = OptionID.getOrCreateOptionID("dbc.size", "Database size to generate.");
int dim = -1;
int size = -1;
Long seed = null;
@Override
protected void makeOptions(Parameterization config) {
super.makeOptions(config);
configFilters(config);
configDimensionality(config);
configSize(config);
configSeed(config);
}
protected void configSeed(Parameterization config) {
LongParameter seedParam = new LongParameter(SEED_ID, true);
if(config.grab(seedParam)) {
seed = seedParam.getValue();
}
}
protected void configDimensionality(Parameterization config) {
IntParameter dimParam = new IntParameter(DIM_ID);
if(config.grab(dimParam)) {
dim = dimParam.getValue();
}
}
protected void configSize(Parameterization config) {
IntParameter sizeParam = new IntParameter(SIZE_ID);
if(config.grab(sizeParam)) {
size = sizeParam.getValue();
}
}
@Override
protected RandomDoubleVectorDatabaseConnection makeInstance() {
return new RandomDoubleVectorDatabaseConnection(dim, size, seed, filters);
}
}
}
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