// Path: src/main/wcanalysis/charting/DataSeries.java
// public class DataSeries {
//   private final double[] xs;
//   private final double[] ys;
//   int idx = 0;
// 
//   private final String seriesName;
//   private String r2;
//   private String function;
// 
//   public DataSeries(String seriesName, int size) {
//     this.seriesName = seriesName;
//     this.xs = new double[size];
//     this.ys = new double[size];
//   }
// 
// 
//   public String getSeriesName() {
//     return seriesName;
//   }
// 
//   public void add(double x, double y) {
//     xs[idx] = x;
//     ys[idx] = y;
//     idx++;
//   }
// 
//   public double[] getY() {
//     return this.ys;
//   }
// 
//   public double[] getX() {
//     return this.xs;
//   }
// 
//   public int size() {
//     return this.xs.length;
//   }
// 
//   public String getR2() {
//     return r2;
//   }
// 
//   public void setR2(String r2) {
//     this.r2 = r2;
//   }
// 
//   public String getFunction() {
//     return function;
//   }
// 
//   public void setFunction(String function) {
//     this.function = function;
//   }
// }


import java.util.Iterator;
import java.util.List;
import java.util.logging.Logger;
import gov.nasa.jpf.util.JPFLogger;
import wcanalysis.charting.DataSeries;
import org.apache.commons.math3.exception.MathIllegalArgumentException;
import java.text.DecimalFormat;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
/*
 * MIT License
 *
 * Copyright (c) 2017 The ISSTAC Authors
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */

package wcanalysis.fitting;




/**
 * @author Kasper Luckow
 *
 */
public class FunctionFitter {
  
  public static final Logger logger = JPFLogger.getLogger(FunctionFitter.class.getName());
  
  public static Collection<DataSeries> computePredictionSeries(double[] xs, double[] ys,
                                                     int predictionModelSize) {

    DecimalFormat df = new DecimalFormat("#.00000");
    List<TrendModelData> trendLines = new ArrayList<>();

    //The prediction models we are considering
    trendLines.add(new TrendModelData(new PolyTrendLine(1), "1st poly"));
    trendLines.add(new TrendModelData(new PolyTrendLine(2), "2nd poly"));
    trendLines.add(new TrendModelData(new PolyTrendLine(3), "3rd poly"));
    trendLines.add(new TrendModelData(new ExpTrendLine(), "exp"));
    trendLines.add(new TrendModelData(new PowerTrendLine(), "pow"));
    trendLines.add(new TrendModelData(new LogTrendLine(), "log"));
    trendLines.add(new TrendModelData(new NLogTrendLine(), "nlog"));
    trendLines.add(new TrendModelData(new FactorialTrendline(), "fac"));
    
    HashMap<TrendModelData, DataSeries> trend2series = new HashMap<>();
    
    Iterator<TrendModelData> tmIter = trendLines.iterator();

    // Create data series
    while(tmIter.hasNext()) {
      TrendModelData trendData = tmIter.next();
      try {
        trendData.trendLine.setValues(ys, xs);
// Path: src/main/wcanalysis/charting/DataSeries.java
// public class DataSeries {
//   private final double[] xs;
//   private final double[] ys;
//   int idx = 0;
// 
//   private final String seriesName;
//   private String r2;
//   private String function;
// 
//   public DataSeries(String seriesName, int size) {
//     this.seriesName = seriesName;
//     this.xs = new double[size];
//     this.ys = new double[size];
//   }
// 
// 
//   public String getSeriesName() {
//     return seriesName;
//   }
// 
//   public void add(double x, double y) {
//     xs[idx] = x;
//     ys[idx] = y;
//     idx++;
//   }
// 
//   public double[] getY() {
//     return this.ys;
//   }
// 
//   public double[] getX() {
//     return this.xs;
//   }
// 
//   public int size() {
//     return this.xs.length;
//   }
// 
//   public String getR2() {
//     return r2;
//   }
// 
//   public void setR2(String r2) {
//     this.r2 = r2;
//   }
// 
//   public String getFunction() {
//     return function;
//   }
// 
//   public void setFunction(String function) {
//     this.function = function;
//   }
// }


// Path: src/main/wcanalysis/fitting/FunctionFitter.java
import java.util.Iterator;
import java.util.List;
import java.util.logging.Logger;
import gov.nasa.jpf.util.JPFLogger;
import wcanalysis.charting.DataSeries;
import org.apache.commons.math3.exception.MathIllegalArgumentException;
import java.text.DecimalFormat;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;

/*
 * MIT License
 *
 * Copyright (c) 2017 The ISSTAC Authors
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */

package wcanalysis.fitting;




/**
 * @author Kasper Luckow
 *
 */
public class FunctionFitter {
  
  public static final Logger logger = JPFLogger.getLogger(FunctionFitter.class.getName());
  
  public static Collection<DataSeries> computePredictionSeries(double[] xs, double[] ys,
                                                     int predictionModelSize) {

    DecimalFormat df = new DecimalFormat("#.00000");
    List<TrendModelData> trendLines = new ArrayList<>();

    //The prediction models we are considering
    trendLines.add(new TrendModelData(new PolyTrendLine(1), "1st poly"));
    trendLines.add(new TrendModelData(new PolyTrendLine(2), "2nd poly"));
    trendLines.add(new TrendModelData(new PolyTrendLine(3), "3rd poly"));
    trendLines.add(new TrendModelData(new ExpTrendLine(), "exp"));
    trendLines.add(new TrendModelData(new PowerTrendLine(), "pow"));
    trendLines.add(new TrendModelData(new LogTrendLine(), "log"));
    trendLines.add(new TrendModelData(new NLogTrendLine(), "nlog"));
    trendLines.add(new TrendModelData(new FactorialTrendline(), "fac"));
    
    HashMap<TrendModelData, DataSeries> trend2series = new HashMap<>();
    
    Iterator<TrendModelData> tmIter = trendLines.iterator();

    // Create data series
    while(tmIter.hasNext()) {
      TrendModelData trendData = tmIter.next();
      try {
        trendData.trendLine.setValues(ys, xs);
        DataSeries s = new DataSeries(trendData.desc, predictionModelSize);