MarkovChainObserver.java
/*
* Copyright 2013 University of Glasgow.
*
* 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 broadwick.montecarlo.markovchain.observer;
import broadwick.montecarlo.markovchain.MarkovChainMonteCarlo;
import lombok.EqualsAndHashCode;
/**
* Implementing classes are used to take measurements during a Monte Carlo run.
*/
@EqualsAndHashCode
@SuppressWarnings("squid:S1210")
public abstract class MarkovChainObserver implements Comparable<MarkovChainObserver> {
/**
* Creates an observer dedicated to one Monte Carlo process.
* @param mc the Monte Carlo process
*/
public MarkovChainObserver(final MarkovChainMonteCarlo mc) {
this.monteCarlo = mc;
}
@Override
public final int compareTo(final MarkovChainObserver o) {
// We really are only interested in determining if the Observers are equal so that a tree based table
// can distinguish between observers. Order does NOT matter so we return 1 if the objects are not equal.
if (this == o) {
return 0;
}
return 1;
}
/**
* Gets called when the simulation has started after the initialization and before the termination condition is
* checked the first time.
*/
public abstract void started();
/**
* Gets called when the simulation has taken a step, whether or not the step is accepted or not or if the
* burn-in period has elapsed.
*/
public abstract void step();
/**
* Gets called by the Monte Carlo process after the burnin period has elaspsed.
*/
public abstract void takeMeasurements();
/**
* Gets called when a simulation has finished, directly after the termination check.
*/
public abstract void finished();
@SuppressWarnings("PMD.UnusedPrivateField")
protected final MarkovChainMonteCarlo monteCarlo;
}