/*******************************************************************************
* Copyright 2013 Analog Devices, 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 com.analog.lyric.dimple.solvers.sumproduct.pseudolikelihood;
import java.util.HashMap;
import com.analog.lyric.dimple.model.factors.Factor;
import com.analog.lyric.dimple.model.variables.Variable;
/*
* The factor info is used to build an empirical distribution over the samples
* connected to it.
*/
public class FactorInfo extends NodeInfo
{
//Given a variable-to-index map, create the indices of interest.
public static int [] getVarIndices(Factor f,HashMap<Variable,Integer> var2index )
{
final int nVars = f.getSiblingCount();
int [] retval = new int[nVars];
for (int i = 0; i < nVars; i++)
{
retval[i] = var2index.get(f.getSibling(i));
}
return retval;
}
public FactorInfo(Factor f, HashMap<Variable,Integer> var2index)
{
super(getVarIndices(f, var2index));
}
}