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.NormalDistribution;
  
  import mathtools.NumberTools;
  import parser.coresymbols.CalcSymbolPreOperator;
  import parser.symbols.distributions.CalcSymbolDistributionNormal;
  
  /**
   * Zustzliche Daten fr ein Objekt vom Typ {@link NormalDistribution}
   * @author Alexander Herzog
   * @see NormalDistribution
   * @see DistributionTools
   */
  public class WrapperNormalDistribution extends AbstractDistributionWrapper {
  	/**
  	 * Konstruktor der Klasse
  	 */
  	public WrapperNormalDistribution() {
  		super(NormalDistribution.class,true,true);
  	}
  
  	@Override
  	protected String[] getNames() {
  		return DistributionTools.DistNormal;
  	}
  
  	@Override
  	protected String getThumbnailImageName() {
  		return "normal.png";
  	}
  
  	@Override
  	protected String getWikipediaURL() {
  		return DistributionTools.DistNormalWikipedia;
  	}
  
  	@Override
  	protected String getWebAppDistributionName() {
  		return "Normal";
  	}
  
  	@Override
  	protected String getInfoHTML() {
  		return DistributionTools.DistNormalInfo;
  	}
  
  	@Override
  	protected DistributionWrapperInfo getInfoInt(AbstractRealDistribution distribution) {
  		final double mean=((NormalDistribution)distribution).getMean();
  		return new DistributionWrapperInfo(distribution,0.0,mean);  /* Schiefe=0 immer */
  	}
  
  	@Override
  	public AbstractRealDistribution getDistribution(double mean, double sd) {
  		return new NormalDistribution(mean,sd);
  	}
  
  	@Override
  	public AbstractRealDistribution getDefaultDistribution() {
  		return getDistribution(100,50);
  	}
  
  	@Override
  	public AbstractRealDistribution getDistributionForFit(final double mean, final double sd, final double min, final double max) {
  		if (sd<=0) return null;
  		return super.getDistributionForFit(mean,sd,min,max);
  	}
  
  	@Override
  	public double getMean(final AbstractRealDistribution distribution) {
  		return ((NormalDistribution)distribution).getMean();
  	}
  
  	@Override
  	protected AbstractRealDistribution setMeanInt(AbstractRealDistribution distribution, double mean) {
  		return new NormalDistribution(mean,((NormalDistribution)distribution).getStandardDeviation());
  	}
  
  	@Override
  	public double getStandardDeviation(final AbstractRealDistribution distribution) {
  		return ((NormalDistribution)distribution).getStandardDeviation();
  	}
  
  	@Override
  	protected AbstractRealDistribution setStandardDeviationInt(AbstractRealDistribution distribution, double sd) {
  		return new NormalDistribution(((NormalDistribution)distribution).getMean(),sd);
  	}
  
  	@Override
  	protected double getParameterInt(AbstractRealDistribution distribution, int nr) {
  		if (nr==1) return ((NormalDistribution)distribution).getMean();
  		if (nr==2) return ((NormalDistribution)distribution).getStandardDeviation();
  		return 0.0;
  	}
  
  	@Override
  	protected AbstractRealDistribution setParameterInt(AbstractRealDistribution distribution, int nr, double value) {
  		if (nr==1) return new NormalDistribution(null,value,((NormalDistribution)distribution).getStandardDeviation(),NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
  		if (nr==2) return new NormalDistribution(null,((NormalDistribution)distribution).getMean(),value,NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
  		return null;
  	}
  
  	@Override
  	protected String getToStringData(AbstractRealDistribution distribution) {
  		return NumberTools.formatSystemNumber(((NormalDistribution)distribution).getMean())+";"+NumberTools.formatSystemNumber(((NormalDistribution)distribution).getStandardDeviation());
  	}
  
  	@Override
  	public AbstractRealDistribution fromString(String data, double maxXValue) {
  		final double[] values=getDoubleArray(data);
  		if (values.length!=2) return null;
  		return new NormalDistribution(null,values[0],values[1],NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
  	}
  
  	@Override
  	protected AbstractRealDistribution cloneInt(AbstractRealDistribution distribution) {
  		return new NormalDistribution(null,((NormalDistribution)distribution).getMean(),((NormalDistribution)distribution).getStandardDeviation(),NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
  	}
  
  	@Override
  	protected boolean compareInt(AbstractRealDistribution distribution1, AbstractRealDistribution distribution2) {
  		if (Math.abs(((NormalDistribution)distribution1).getMean()-((NormalDistribution)distribution2).getMean())>DistributionTools.MAX_ERROR) return false;
  		if (Math.abs(((NormalDistribution)distribution1).getStandardDeviation()-((NormalDistribution)distribution2).getStandardDeviation())>DistributionTools.MAX_ERROR) return false;
  		return true;
  	}
  
  	@Override
  	protected Class<? extends CalcSymbolPreOperator> getCalcSymbolClass() {
  		return CalcSymbolDistributionNormal.class;
  	}
  }
  