/* * JaamSim Discrete Event Simulation * Copyright (C) 2013 Ausenco Engineering Canada Inc. * Copyright (C) 2016 JaamSim Software 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.jaamsim.CalculationObjects; import java.util.ArrayList; import com.jaamsim.Graphics.DisplayEntity; import com.jaamsim.Samples.SampleConstant; import com.jaamsim.Samples.SampleListInput; import com.jaamsim.Samples.SampleProvider; import com.jaamsim.input.Input; import com.jaamsim.input.InputErrorException; import com.jaamsim.input.Keyword; import com.jaamsim.input.Output; import com.jaamsim.input.UnitTypeInput; import com.jaamsim.input.ValueListInput; import com.jaamsim.ui.FrameBox; import com.jaamsim.units.DimensionlessUnit; import com.jaamsim.units.Unit; import com.jaamsim.units.UserSpecifiedUnit; /** * The WeightedSum object returns a weighted sum of its input values. * @author Harry King * */ public class WeightedSum extends DisplayEntity implements SampleProvider { @Keyword(description = "The unit type for the inputs to the weighted sum and for the value " + "returned.", exampleList = {"DistanceUnit"}) protected final UnitTypeInput unitType; @Keyword(description = "The list of inputs to the weighted sum. All inputs must have the " + "same unit type.\n" + "The inputs can be any entity that returns a number, such as an " + "expression, a CalculationObject, a ProbabilityDistribution, or a " + "TimeSeries.", exampleList = {"{ 1 m } { TimeSeries1 } {'2[m] * [Queue1].QueueLength'}"}) private final SampleListInput inputValueList; @Keyword(description = "The list of dimensionless coefficients to be applied to the input " + "values. If left blank, the input values are simply added without " + "applying any coefficients.", exampleList = {"2.0 1.5"}) private final ValueListInput coefficientList; { unitType = new UnitTypeInput("UnitType", "Key Inputs", UserSpecifiedUnit.class); unitType.setRequired(true); this.addInput(unitType); ArrayList<SampleProvider> def = new ArrayList<>(); def.add(new SampleConstant(0.0)); inputValueList = new SampleListInput("InputValueList", "Key Inputs", def); inputValueList.setUnitType(UserSpecifiedUnit.class); this.addInput(inputValueList); coefficientList = new ValueListInput("CoefficientList", "Key Inputs", null); coefficientList.setUnitType(DimensionlessUnit.class); this.addInput(coefficientList); } public WeightedSum() {} @Override public void updateForInput(Input<?> in) { super.updateForInput(in); if (in == unitType) { inputValueList.setUnitType(unitType.getUnitType()); FrameBox.reSelectEntity(); // Update the units in the Output Viewer return; } } @Override public Class<? extends Unit> getUnitType() { return unitType.getUnitType(); } @Override public Class<? extends Unit> getUserUnitType() { return unitType.getUnitType(); } @Override public void validate() { super.validate(); // Confirm that the number of entries in the CoeffientList matches the EntityList if (coefficientList.getValue() != null && coefficientList.getValue().size() != inputValueList.getValue().size()) { throw new InputErrorException("If set, the number of entries for CoefficientList " + "must match the entries for InputValueList"); } } @Override @Output(name = "Value", description = "The calculated value for the weighted sum.", unitType = UserSpecifiedUnit.class) public double getNextSample(double simTime) { double val = 0.0; // Calculate the unweighted sum of the inputs if (coefficientList.getValue() == null) { for (int i=0; i<inputValueList.getValue().size(); i++) { val += inputValueList.getValue().get(i).getNextSample(simTime); } } // Calculate the weighted sum of the inputs else { for (int i=0; i<inputValueList.getValue().size(); i++) { val += coefficientList.getValue().get(i) * inputValueList.getValue().get(i).getNextSample(simTime); } } return val; } @Override public double getMeanValue(double simTime) { return 0; } @Override public double getMinValue() { return Double.NEGATIVE_INFINITY; } @Override public double getMaxValue() { return Double.POSITIVE_INFINITY; } }