public Degree match(InternalWorkingMemory workingMemory, Object object, String typeName) {
TraitableBean core = null;
if (object instanceof Thing) {
Thing thing = (Thing) object;
core = (TraitableBean) thing.getCore();
if (core.hasTrait(typeName)) {
Thing proxy = core.getTrait(typeName.toString());
return extractDegree(proxy);
} else {
return ChanceDegreeTypeRegistry.getSingleInstance().getDefaultOne().False();
}
} else if (object instanceof TraitableBean) {
core = (TraitableBean) object;
if (core.hasTrait(typeName)) {
Thing proxy = core.getTrait(typeName.toString());
return extractDegree(proxy);
} else {
return ChanceDegreeTypeRegistry.getSingleInstance().getDefaultOne().False();
}
} else {
core = lookForWrapper(object, workingMemory);
if (core == null || !core.hasTrait(typeName)) {
return ChanceDegreeTypeRegistry.getDefaultOne().False();
} else {
Thing proxy = core.getTrait(typeName.toString());
return extractDegree(proxy);
}
}
}
private Degree extractDegree(Thing proxy) {
if (proxy == null) {
return ChanceDegreeTypeRegistry.getSingleInstance().getDefaultOne().False();
} else {
if (proxy instanceof ImperfectTraitProxy) {
return ((ImperfectTraitProxy) proxy).isA();
} else {
return ChanceDegreeTypeRegistry.getSingleInstance().getDefaultOne().True();
}
}
}
public Distribution<Double> newDistribution(Set<Double> focalElements) {
Iterator<Double> iter = focalElements.iterator();
return new GaussianDistribution(
iter.next().doubleValue(),
iter.next().doubleValue(),
ChanceDegreeTypeRegistry.getSingleInstance().buildDegree(degreeType, 0.0));
}
private Constructor getDegreeStringConstructor() {
if (degreeStringConstr == null) {
degreeStringConstr =
ChanceDegreeTypeRegistry.getSingleInstance().getConstructorByString(degreeType);
}
return degreeStringConstr;
}
private Distribution<T> createUniformDistribution(Collection<T> focalElements) {
DiscreteDistribution<T> ret = new DiscreteDistribution<T>();
for (Iterator<? extends T> currIt = focalElements.iterator(); currIt.hasNext(); ) {
ret.put(
currIt.next(),
ChanceDegreeTypeRegistry.getSingleInstance()
.buildDegree(degreeType, 1.0 / focalElements.size()));
}
return ret;
}
public Distribution<Double> parse(String distrAsString) {
if (distrAsString.startsWith("N")) {
StringTokenizer tok = new StringTokenizer(distrAsString.substring(1), "(,) ");
return new GaussianDistribution(
tok.hasMoreTokens() ? Double.valueOf(tok.nextToken()) : 0.0,
tok.hasMoreTokens() ? Double.valueOf(tok.nextToken()) : 1.0,
ChanceDegreeTypeRegistry.getSingleInstance().buildDegree(degreeType, 0.0));
} else {
return newDistribution();
}
}
public Distribution<Double> newDistribution() {
return new GaussianDistribution(
0.0, 1.0, ChanceDegreeTypeRegistry.getSingleInstance().buildDegree(degreeType, 0.0));
}
public Distribution<Double> toDistribution(Double value, Object... params) {
return new GaussianDistribution(
value.doubleValue(),
Double.valueOf(params[0].toString()),
ChanceDegreeTypeRegistry.getSingleInstance().buildDegree(degreeType, 0.0));
}
public Distribution<Double> toDistribution(Double value, String strategy) {
return new GaussianDistribution(
value.doubleValue(),
1.0,
ChanceDegreeTypeRegistry.getSingleInstance().buildDegree(degreeType, 0.0));
}
