/******************************************************************************* * 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.RealJoint; import com.analog.lyric.dimple.model.variables.Variable; import com.analog.lyric.util.misc.Matlab; @Matlab(wrapper="RealJoint") public class PRealJointVariableVector extends PVariableVector { /*-------------- * Construction */ public PRealJointVariableVector(Node [] nodes) { super(nodes); } /** * @deprecated as of release 0.08 */ @Deprecated public PRealJointVariableVector(String varType, PRealJointDomain domain, int numElements) { this(domain, numElements); } public PRealJointVariableVector(PRealJointDomain domain, int numElements) { Node [] nodes = new Node[numElements]; for (int i = 0; i < numElements; i++) { RealJoint v = new RealJoint(domain.getModelerObject()); nodes[i] = v; } setNodes(nodes); } public PRealJointVariableVector(Variable [] variables) { super(variables); } /*----------------- * PObject methods */ @Override public boolean isJoint() { return true; } /*----------------------------------- * PRealJointVariableVector methods */ private RealJoint getRealJointVariable(int index) { return (RealJoint)getModelerNode(index); } @Deprecated public void setInput(int [] indices, Object input) { for (int i = 0; i < indices.length; i++) getRealJointVariable(indices[i]).setInputObject(input); } public Object[] getInput(int[] indices) { Object[] output = new Object[size()]; for (int i = 0; i < indices.length; i++) output[i] = getRealJointVariable(indices[i]).getPriorFunction(); return output; } public Object [] getBeliefs(int [] indices) { Object [] beliefs = new Object[indices.length]; for (int i = 0; i < indices.length; i++) { beliefs[i] = getRealJointVariable(indices[i]).getBeliefObject(); } return beliefs; } public double[][] getValues(int[] indices) { double[][] values = new double[indices.length][]; for (int i = 0; i < indices.length; i++) values[i] = getRealJointVariable(indices[i]).getValue(); return values; } public void setFixedValues(int[] indices, double[][] fixedValues) { for (int i = 0; i < indices.length; i++) getRealJointVariable(indices[i]).setPrior(fixedValues[i]); } public double[][] getFixedValues(int[] indices) { double[][] output = new double[indices.length][]; for (int i = 0; i < indices.length; i++) { Value value = getRealJointVariable(indices[i]).getPriorValue(); output[i] = value == null ? null : value.getDoubleArray(); } return output; } public boolean[] hasFixedValue(int[] indices) { boolean[] output = new boolean[indices.length]; for (int i = 0; i < indices.length; i++) output[i] = getRealJointVariable(indices[i]).hasFixedValue(); return output; } // Set guess when there's just one variable @Override public void setGuess(double[] guess) { getVariable(0).setGuess(guess); } // Set guess for multiple variables public void setGuess(double[][] guess) { for (int i = 0; i < guess.length; i++) { ((RealJoint)getVariable(i)).setGuess(guess[i]); } } @Override public PNodeVector createNodeVector(Node[] nodes) { return new PRealJointVariableVector(nodes); } }