/*
* Copyright 2011 JBoss Inc
*
* 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 org.drools.chance.distribution;
import org.drools.chance.rule.constraint.core.connectives.impl.lukas.Not;
import org.drools.chance.degree.Degree;
import org.drools.chance.core.util.MicroMap;
import org.drools.chance.core.util.MicroSet;
import java.util.Iterator;
import java.util.Map;
import java.util.Set;
public class BasicDistribution<T> implements DiscretePossibilityDistribution<T>, DiscreteProbabilityDistribution<T> {
private Degree degree;
private T value;
public BasicDistribution() {
super();
}
public BasicDistribution( T value, Degree degree ) {
this.value = value;
this.degree = degree;
}
public Degree getDegree( T value ) {
if ( this.value == null ) {
return degree.Unknown();
} else if ( value.equals( this.value ) ) {
// there was a == here, was it intentional?
return degree;
} else {
return Not.getInstance().eval( degree );
}
}
public Set<T> getSupport() {
return new MicroSet<T>( value );
}
public Degree get(T value) {
return getDegree( value );
}
public int size() {
return 1;
}
public T getValue() {
return value;
}
public void set( T value, Degree degree ) {
this.value = value;
this.degree = degree;
}
public void clear() {
set(null, null);
}
public void setDegree( Degree deg ) {
this.degree = deg;
}
public Number domainSize() {
return 1;
}
public String toString() {
return "(Basic) : {" + value + "/" + degree + "}";
}
public boolean isDiscrete() {
return true;
}
public boolean isNormalized() {
return true;
}
public void setNormalized( boolean norm ) {
}
public Map<T, Degree> getDistribution() {
return new MicroMap<T,Degree>( value, degree );
}
public Iterator<T> iterator() {
return new MicroMap<T,Degree>( value, degree ).keySet().iterator();
}
}