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AIMA-Java Core Algorithms from the book Artificial Intelligence a Modern Approach 3rd Ed.
package aima.core.probability.util;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
import aima.core.probability.RandomVariable;
import aima.core.probability.domain.Domain;
import aima.core.probability.proposition.TermProposition;
/**
* Default implementation of the RandomVariable interface.
*
* Note: Also implements the TermProposition interface so its easy to use
* RandomVariables in conjunction with propositions about them in the
* Probability Model APIs.
*
* @author Ciaran O'Reilly
*/
public class RandVar implements RandomVariable, TermProposition {
private String name = null;
private Domain domain = null;
private Set scope = new HashSet();
public RandVar(String name, Domain domain) {
ProbUtil.checkValidRandomVariableName(name);
if (null == domain) {
throw new IllegalArgumentException(
"Domain of RandomVariable must be specified.");
}
this.name = name;
this.domain = domain;
this.scope.add(this);
}
//
// START-RandomVariable
@Override
public String getName() {
return name;
}
@Override
public Domain getDomain() {
return domain;
}
// END-RandomVariable
//
//
// START-TermProposition
@Override
public RandomVariable getTermVariable() {
return this;
}
@Override
public Set getScope() {
return scope;
}
@Override
public Set getUnboundScope() {
return scope;
}
@Override
public boolean holds(Map possibleWorld) {
return possibleWorld.containsKey(getTermVariable());
}
// END-TermProposition
//
@Override
public boolean equals(Object o) {
if (this == o) {
return true;
}
if (!(o instanceof RandomVariable)) {
return false;
}
// The name (not the name:domain combination) uniquely identifies a
// Random Variable
RandomVariable other = (RandomVariable) o;
return this.name.equals(other.getName());
}
@Override
public int hashCode() {
return name.hashCode();
}
@Override
public String toString() {
return getName();
}
}
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