content: /*
   * Copyright (c) 1997 - 2018
   * Idorsia Pharmaceuticals Ltd.
   * Hegenheimermattweg 91
   * CH-4123 Allschwil, Switzerland
   *
   * All rights reserved.
   *
   * Redistribution and use in source and binary forms, with or without
   * modification, are permitted provided that the following conditions are met:
   *
   * 1. Redistributions of source code must retain the above copyright notice, this
   *    list of conditions and the following disclaimer.
   * 2. Redistributions in binary form must reproduce the above copyright notice,
   *    this list of conditions and the following disclaimer in the documentation
   *    and/or other materials provided with the distribution.
   * 3. Neither the name of the the copyright holder nor the
   *    names of its contributors may be used to endorse or promote products
   *    derived from this software without specific prior written permission.
   *
   * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
   * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
   * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
   * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
   * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
   * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
   * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
   * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
   * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
   * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
   *
   * @author Modest v. Korff
   */
  
  package com.actelion.research.calc.regression;
  
  import java.io.*;
  import java.util.ArrayList;
  import java.util.List;
  import java.util.Properties;
  
  /**
   * ParameterRegressionMethod
   * <p>Modest v. Korff</p>
   * <p>
   * Created by korffmo1 on 06.12.18.
   *
   * The Comparable method may order according the parameter.
   *
   */
  
  
  public abstract class ParameterRegressionMethod implements Comparable<ParameterRegressionMethod>, Serializable {
  
      // Method name, kNN, PLS etc.
      public static final String TAG_NAME = "Name";
  
      // For filtering for identical parameter in DataWarrior.
      public static final String TAG_STRING = "ParameterToString";
  
      protected Properties properties;
  
      public ParameterRegressionMethod() {
          properties = new Properties();
      }
  
      public ParameterRegressionMethod(String name) {
          properties = new Properties();
          properties.setProperty(TAG_NAME, name);
      }
  
      public ParameterRegressionMethod(ParameterRegressionMethod p) {
          properties = new Properties();
          copy(p);
      }
  
      public void copy(ParameterRegressionMethod orig){
          setName(orig.getName());
      }
  
  
      public void setName(String name) {
          properties.setProperty(TAG_NAME, name);
      }
  
      public String getName() {
          return properties.getProperty(TAG_NAME);
      }
  
  
      public static List<String> getHeader(){
  
          List<String> li = new ArrayList<>();
  
          li.add(TAG_NAME);
          li.add(TAG_STRING);
  
          return li;
      }
  
      public Properties getProperties() {
          return properties;
      }
  
      /**
       * Decodes the properties to the needed variables.
       */
      protected abstract void decodeProperties2Parameter();
  
      public void write(File fiProperties) throws IOException {
          properties.store(new FileWriter(fiProperties), "");
      }
  
      public String write2String() throws IOException {
  
          StringWriter stringWriter = new StringWriter();
  
          properties.store(stringWriter, "");
  
          return stringWriter.toString();
      }
  
      public void read(File fiProperties) throws IOException {
          properties.load(new FileReader(fiProperties));
          decodeProperties2Parameter();
      }
  
      public void read(String s) throws IOException {
          StringReader stringReader = new StringReader(s);
          properties.load(stringReader);
          decodeProperties2Parameter();
      }
  
      @Override
      public boolean equals(Object obj) {
  
          ParameterRegressionMethod p = (ParameterRegressionMethod)obj;
  
          if(!getName().equals(p.getName())){
              return false;
          }
  
          return true;
      }
  }
  