/** * Copyright (C) 2001-2017 by RapidMiner and the contributors * * Complete list of developers available at our web site: * * http://rapidminer.com * * 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/. */ package com.rapidminer.example.table; import com.rapidminer.example.Tools; import java.util.Map; import java.util.concurrent.ConcurrentHashMap; /** * Implementation of DataRow that is backed by a HashMap. Usually using the * {@link DoubleSparseArrayDataRow} should be more efficient. * * @author Ingo Mierswa */ public class SparseMapDataRow extends DataRow { private static final long serialVersionUID = -7452459295368606029L; /** Maps the indices of attributes to the data. */ private Map<Integer, Double> data = new ConcurrentHashMap<Integer, Double>(); /** Returns the desired data for the given index. */ @Override protected double get(int index, double defaultValue) { Double value = data.get(index); if (value != null) { return value.doubleValue(); } else { return defaultValue; } } /** Sets the given data for the given index. */ @Override protected void set(int index, double value, double defaultValue) { if (Tools.isDefault(defaultValue, value)) { data.remove(index); } else { data.put(index, value); } } /** Does nothing. */ @Override protected void ensureNumberOfColumns(int numberOfColumns) {} /** Returns a string representation of the data row. */ @Override public String toString() { return data.toString(); } @Override public int getType() { return DataRowFactory.TYPE_SPARSE_MAP; } }