package dr.evomodel.operators;
import dr.evolution.util.Taxon;
import dr.evomodel.tree.HiddenLinkageModel;
import dr.evomodelxml.operators.MoveLinkageGroupParser;
import dr.inference.operators.OperatorFailedException;
import dr.inference.operators.SimpleMCMCOperator;
import dr.math.MathUtils;
/**
* @author Aaron Darling
*/
public class MoveLinkageGroup extends SimpleMCMCOperator {
HiddenLinkageModel hlm;
int readCount;
int groupCount;
public MoveLinkageGroup(HiddenLinkageModel hlm, double weight){
this.hlm = hlm;
readCount = hlm.getData().getReadsTaxa().getTaxonCount();
groupCount = hlm.getLinkageGroupCount();
setWeight(weight);
}
public double doOperation() throws OperatorFailedException {
// pick a read uniformly at random, add it to a linkage group uniformly at random
int r = MathUtils.nextInt(readCount);
Taxon read = hlm.getData().getReadsTaxa().getTaxon(r);
int g=hlm.getLinkageGroupId(read);
int newGroup = MathUtils.nextInt(groupCount);
hlm.moveReadGroup(read, g, newGroup);
// moves are symmetric -- same forward and backward proposal probabilities
double logHastings = 0.0;
return logHastings;
}
public String getOperatorName() {
return MoveLinkageGroupParser.MOVE_LINKAGE_GROUP + "(" + hlm.getId() + ")";
}
public String getPerformanceSuggestion() {
return "Ask Aaron Darling to write a better operator";
}
}