package org.singinst.uf.model;
import java.util.ArrayList;
import java.util.List;
import org.singinst.uf.math.MathUtil;
public class NodeMetadata {
private final Node node;
private final UiText uiText;
private final List<ScalarSchema> scalarSchemata;
private final List<ScalarSchema> simpleScalars; // never used
private final List<ScalarRelation> scalarRelations;
private final List<ScalarValueHolder> scalarValueHolders;
public NodeMetadata(Node node, UiText uiText, List<ScalarSchema> scalarSchemata, List<ScalarSchema> simpleScalars, List<ScalarRelation> scalarRelations) {
this.node = node;
this.uiText = uiText;
this.scalarSchemata = scalarSchemata;
this.simpleScalars = simpleScalars;
this.scalarRelations = scalarRelations;
this.scalarValueHolders = new ArrayList<ScalarValueHolder>();
for (ScalarSchema schema : scalarSchemata) {
scalarValueHolders.add(schema.getScalarValueHolder());
}
}
public List<ScalarSchema> getScalars() {
return scalarSchemata;
}
public Node getNode() {
return node;
}
public List<ScalarRelation> getScalarRelations() {
return scalarRelations;
}
public List<ScalarSchema> getSimpleScalars() {
return simpleScalars;
}
public UiText getUserText() {
return uiText;
}
public Object monte() {
if (!simpleScalars.isEmpty()) {
return simpleScalars.get(0).monte();
} else if (scalarSchemata.size() == 2) {
double mean = scalarSchemata.get(0).getScalarValueHolder().getValue();
double stdDev = scalarSchemata.get(1).getScalarValueHolder().getValue();
return MathUtil.inverseCumulativeProbability(mean, stdDev, MathUtil.RANDOM.nextFloat());
} else {
double k5 = scalarSchemata.get(0).getScalarValueHolder().getValue();
double k50 = scalarSchemata.get(1).getScalarValueHolder().getValue();
return MathUtil.inverseCumulativeProbability(
k50, (k50 - k5) / MathUtil.NINETY_FIVE_PERCENTILE,
MathUtil.RANDOM.nextFloat());
}
}
public List<ScalarValueHolder> getScalarValueHolders() {
return scalarValueHolders;
}
}