/*
* 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;
}
}