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SRI International's AIC PRAiSE (Probabilistic Reasoning As Symbolic Evaluation) Library (for Java 1.8+)
/*
* Copyright (c) 2015, SRI International
* All rights reserved.
* Licensed under the The BSD 3-Clause License;
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at:
*
* http://opensource.org/licenses/BSD-3-Clause
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*
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*
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package com.sri.ai.praise.lang.grounded.markov;
import java.util.ArrayList;
import java.util.List;
import com.google.common.annotations.Beta;
import com.sri.ai.praise.lang.grounded.common.FunctionTable;
/**
* A table representation of a factor for use in a Markov Network.
*
* @author oreilly
*
*/
@Beta
public class FactorTable {
private List variableIndexes;
private FunctionTable functionTable;
public FactorTable(List variableIndexes, FunctionTable table) {
this.variableIndexes = new ArrayList<>(variableIndexes);
this.functionTable = table;
if (functionTable.numberVariables() != this.variableIndexes.size()) {
throw new IllegalArgumentException("Function table's # vars "+functionTable.numberVariables()+" does not match # of variable indexes "+this.variableIndexes.size());
}
}
public List getVariableIndexes() {
return variableIndexes;
}
public FunctionTable getTable() {
return functionTable;
}
@Override
public boolean equals(Object obj) {
if (obj != null && obj instanceof FactorTable) {
FactorTable other = (FactorTable) obj;
return this.variableIndexes.equals(other.variableIndexes) && this.functionTable.equals(other.functionTable);
}
return false;
}
@Override
public int hashCode() {
return this.variableIndexes.hashCode() + this.functionTable.hashCode();
}
}