content: /**
   * Copyright 2020 Alexander Herzog
   *
   * 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.
   */
  package mathtools.distribution.tools;
  
  import org.apache.commons.math3.distribution.AbstractRealDistribution;
  import org.apache.commons.math3.distribution.ExponentialDistribution;
  
  import mathtools.NumberTools;
  import parser.coresymbols.CalcSymbolPreOperator;
  import parser.symbols.distributions.CalcSymbolDistributionExp;
  
  /**
   * Zustzliche Daten fr ein Objekt vom Typ {@link ExponentialDistribution}
   * @author Alexander Herzog
   * @see ExponentialDistribution
   * @see DistributionTools
   */
  public class WrapperExponentialDistribution extends AbstractDistributionWrapper {
  	/**
  	 * Konstruktor der Klasse
  	 */
  	public WrapperExponentialDistribution() {
  		super(ExponentialDistribution.class,true,true);
  	}
  
  	@Override
  	protected String[] getNames() {
  		return DistributionTools.DistExp;
  	}
  
  	@Override
  	protected String getThumbnailImageName() {
  		return "exp.png";
  	}
  
  	@Override
  	protected String getWikipediaURL() {
  		return DistributionTools.DistExpWikipedia;
  	}
  
  	@Override
  	protected String getWebAppDistributionName() {
  		return "Exponential";
  	}
  
  	@Override
  	protected String getInfoHTML() {
  		return DistributionTools.DistExpInfo;
  	}
  
  	@Override
  	protected DistributionWrapperInfo getInfoInt(AbstractRealDistribution distribution) {
  		return new DistributionWrapperInfo(distribution,2.0,0.0); /* Schiefe=2 immer */
  	}
  
  	@Override
  	public AbstractRealDistribution getDistribution(double mean, double sd) {
  		return new ExponentialDistribution(null,Math.max(mean,0.0001),ExponentialDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
  	}
  
  	@Override
  	public AbstractRealDistribution getDefaultDistribution() {
  		return getDistribution(100,100);
  	}
  
  	@Override
  	public AbstractRealDistribution getDistributionForFit(final double mean, final double sd, final double min, final double max) {
  		if (mean<=0) return null;
  		return super.getDistributionForFit(mean,sd,min,max);
  	}
  
  	@Override
  	public double getMean(final AbstractRealDistribution distribution) {
  		return ((ExponentialDistribution)distribution).getMean();
  	}
  
  	@Override
  	protected AbstractRealDistribution setMeanInt(AbstractRealDistribution distribution, double mean) {
  		return new ExponentialDistribution(null,mean,ExponentialDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
  	}
  
  	@Override
  	public double getStandardDeviation(final AbstractRealDistribution distribution) {
  		return ((ExponentialDistribution)distribution).getMean(); /* E=Std */
  	}
  
  	@Override
  	protected AbstractRealDistribution setStandardDeviationInt(AbstractRealDistribution distribution, double sd) {
  		return new ExponentialDistribution(null,sd,ExponentialDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY); /* E=Std */
  	}
  
  	@Override
  	protected double getParameterInt(AbstractRealDistribution distribution, int nr) {
  		if (nr==1) return ((ExponentialDistribution)distribution).getMean();
  		return 0.0;
  	}
  
  	@Override
  	protected AbstractRealDistribution setParameterInt(AbstractRealDistribution distribution, int nr, double value) {
  		if (nr==1) return new ExponentialDistribution(null,value,ExponentialDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
  		return null;
  	}
  
  	@Override
  	protected String getToStringData(AbstractRealDistribution distribution) {
  		return NumberTools.formatSystemNumber(((ExponentialDistribution)distribution).getMean());
  	}
  
  	@Override
  	public AbstractRealDistribution fromString(String data, double maxXValue) {
  		final double[] values=getDoubleArray(data);
  		if (values.length!=1) return null;
  		return new ExponentialDistribution(null,values[0],ExponentialDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
  	}
  
  	@Override
  	protected AbstractRealDistribution cloneInt(AbstractRealDistribution distribution) {
  		return new ExponentialDistribution(null,((ExponentialDistribution)distribution).getMean(),ExponentialDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
  	}
  
  	@Override
  	protected boolean compareInt(AbstractRealDistribution distribution1, AbstractRealDistribution distribution2) {
  		return Math.abs(((ExponentialDistribution)distribution1).getMean()-((ExponentialDistribution)distribution2).getMean())<=DistributionTools.MAX_ERROR;
  	}
  
  	@Override
  	protected Class<? extends CalcSymbolPreOperator> getCalcSymbolClass() {
  		return CalcSymbolDistributionExp.class;
  	}
  }
  