/* * Encog(tm) Core v3.4 - Java Version * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-core * Copyright 2008-2016 Heaton Research, Inc. * * 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 org.encog.app.analyst.csv.basic; import org.encog.util.csv.CSVFormat; import org.encog.util.csv.ReadCSV; /** * A row of a CSV file loaded to memory. This class is used internally by many * of the Encog quant classes. */ public class LoadedRow { /** * The row data. */ private final String[] data; /** * Load a row from the specified CSV file. * * @param csv * The CSV file to use. */ public LoadedRow(final ReadCSV csv) { this(csv, 0); } /** * Construct a loaded row. * @param csv The CSV file to use. * @param extra The number of extra columns to add. */ public LoadedRow(final ReadCSV csv, final int extra) { final int count = csv.getColumnCount(); this.data = new String[count + extra]; for (int i = 0; i < count; i++) { this.data[i] = csv.get(i); } } public LoadedRow(CSVFormat csvFormat, final double[] d, final int extra) { final int count = d.length; this.data = new String[count + extra]; for (int i = 0; i < count; i++) { this.data[i] = csvFormat.format(d[i], 5) + d[i]; } } /** * @return The row data. */ public String[] getData() { return this.data; } }