/*******************************************************************************
* Copyright 2012 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.matlabproxy;
import com.analog.lyric.dimple.model.core.Node;
import com.analog.lyric.dimple.model.values.Value;
import com.analog.lyric.dimple.model.variables.Discrete;
import com.analog.lyric.dimple.model.variables.Variable;
import com.analog.lyric.util.misc.Matlab;
/*
* This class provides vectors of Variables to allow matlab to set multiple inputs
* simultaneously. This is important for performance reasons. (MATLAB is slow to
* manipulate lots of objects)
*/
@Matlab(wrapper="Discrete")
public class PDiscreteVariableVector extends PVariableVector
{
/*---------------
* Construction
*/
public PDiscreteVariableVector()
{
}
public PDiscreteVariableVector(Node node)
{
super(new Node[] {node});
}
public PDiscreteVariableVector(Node [] nodes)
{
super(nodes);
}
/**
* @deprecated as of release 0.08
*/
@Deprecated
public PDiscreteVariableVector(String varType, PDiscreteDomain domain, int numElements)
{
this(domain, numElements);
}
public PDiscreteVariableVector(PDiscreteDomain domain, int numElements)
{
Node [] nodes = new Node[numElements];
for (int i = 0; i < numElements; i++)
{
Discrete v = new Discrete(domain.getModelerObject());
nodes[i] = v;
}
setNodes(nodes);
}
public PDiscreteVariableVector(Variable [] variables)
{
super(variables);
}
/*-----------------
* PObject methods
*/
@Override
public boolean isDiscrete()
{
return true;
}
/*---------------------------
* PDiscreteVariable methods
*/
private Discrete getDiscreteVariable(int index)
{
return (Discrete)getModelerNode(index);
}
public void setInput(int [] indices,double [][] inputs)
{
for (int i = 0; i < indices.length; i++)
{
int index = indices[i];
getDiscreteVariable(index).setPrior(inputs[i]);
}
}
public void setFixedValueIndices(int[] indices, int[] fixedValueIndices)
{
for (int i = 0; i < indices.length; i++)
{
Discrete var = getDiscreteVariable(indices[i]);
var.setPrior(Value.createWithIndex(var.getDomain(), fixedValueIndices[i]));
}
}
public int[] getFixedValueIndices(int[] indices)
{
int[] output = new int[indices.length];
for (int i = 0; i < indices.length; i++)
output[i] = getDiscreteVariable(indices[i]).getPriorIndex();
return output;
}
public boolean[] hasFixedValue(int[] indices)
{
boolean[] output = new boolean[indices.length];
for (int i = 0; i < indices.length; i++)
output[i] = getDiscreteVariable(indices[i]).hasFixedValue();
return output;
}
public double [][] getDiscreteBeliefs(int [] indices)
{
double [][] beliefs = new double[indices.length][];
for (int i = 0; i < indices.length; i++)
{
Discrete df = getDiscreteVariable(indices[i]);
beliefs[i] = df.getBelief();
}
return beliefs;
}
public Object [] getBeliefs(int [] indices)
{
Object [] beliefs = new Object[indices.length];
for (int i = 0; i < indices.length; i++)
beliefs[i] = getDiscreteVariable(indices[i]).getBelief();
return beliefs;
}
public int[] getValueIndices(int[] indices)
{
int[] valueIndices = new int[indices.length];
// Since this is specifically for MATLAB, add one so indices are suitable for one-based addressing
for (int i = 0; i < indices.length; i++)
valueIndices[i] = getDiscreteVariable(indices[i]).getValueIndex() + 1;
return valueIndices;
}
@Deprecated
public double [][] getInput(int [] indices)
{
double [][] output = new double[size()][];
for (int i = 0; i < indices.length; i++)
output[i] = getDiscreteVariable(indices[i]).getInput();
return output;
}
@Override
public PNodeVector createNodeVector(Node [] nodes)
{
return new PDiscreteVariableVector(nodes);
}
@Override
public PDomain getDomain()
{
return new PDiscreteDomain(getDiscreteVariable(0).getDiscreteDomain());
}
}