oms3.dsl.cosu.Step Maven / Gradle / Ivy
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package oms3.dsl.cosu;
import oms3.dsl.*;
import java.io.File;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.Map;
import ngmf.util.cosu.luca.ExecutionHandle;
import ngmf.util.cosu.luca.ParameterData;
import oms3.Conversions;
import oms3.dsl.cosu.Luca.ModelExecution;
import oms3.SimConst;
/**
*
* @author od
*/
public class Step implements Buildable {
String name;
Params params = new Params();
// Opt opt = new Opt();
// sce control parameter
int NumOfParams = 0; // number of individual params (e.g. for 1 parameter with 12 entries, it is 12)
int maxExec = 10000;
int initComplexes = 2;
int minComplexes = 1;
// computed sce parameter
int pointsPerComplex = -1;
int pointsPerSubcomplex = -1;
int evolutions = -1;
//
int shufflingLoops = 5;
double ofPercentage = 0.01;
//
int number;
List ofs = new ArrayList();
Step(int number) {
this.number = number;
}
public void setName(String name) {
this.name = name;
}
public String getName() {
return name == null ? Integer.toString(number) : name;
}
public int getInitComplexes() {
return initComplexes;
}
public int getMaxExec() {
return maxExec;
}
public int getMinComplexes() {
return minComplexes;
}
public int getEvolutions() {
return evolutions > -1 ? evolutions : (NumOfParams * 2 + 1);
}
public int getPointsPerComplex() {
return pointsPerComplex > -1 ? pointsPerComplex : (NumOfParams * 2 + 1);
}
public int getPointsPerSubcomplex() {
return pointsPerSubcomplex > -1 ? pointsPerComplex : (NumOfParams + 1);
}
public double getOfPercentage() {
return ofPercentage;
}
public int getShufflingLoops() {
return shufflingLoops;
}
@Override
public Buildable create(Object name, Object value) {
if (name.equals("max_exec")) {
maxExec = (Integer) value;
if (maxExec < 1) {
throw new IllegalArgumentException("max_exec: " + maxExec);
}
} else if (name.equals("init_complexes")) {
initComplexes = (Integer) value;
if (initComplexes < 1) {
throw new IllegalArgumentException("init_complexes: " + initComplexes);
}
} else if (name.equals("points_per_complex")) {
pointsPerComplex = (Integer) value;
} else if (name.equals("points_per_subcomplex")) {
pointsPerSubcomplex = (Integer) value;
} else if (name.equals("evolutions")) {
evolutions = (Integer) value;
} else if (name.equals("min_complexes")) {
minComplexes = (Integer) value;
if (minComplexes < 1) {
throw new IllegalArgumentException("minComplexes: " + minComplexes);
}
} else if (name.equals("shuffling_loops")) {
shufflingLoops = (Integer) value;
if (shufflingLoops < 1) {
throw new IllegalArgumentException("shufflingLoops: " + shufflingLoops);
}
} else if (name.equals("of_percentage")) {
ofPercentage = Conversions.convert(value, Double.class);
if (ofPercentage <= 0.0 || ofPercentage > 1.0) {
throw new IllegalArgumentException("of_percentage: " + ofPercentage);
}
} else if (name.equals("parameter")) {
return params;
} else if (name.equals("objfunc")) {
ObjFunc of = new ObjFunc();
ofs.add(of);
return of;
} else {
throw new IllegalArgumentException(name.toString());
}
return LEAF;
}
public Params params() {
return params;
}
public boolean needsToStopSCE() {
return false;
}
public void setStatus(String string) {
}
public static class Data {
int round;
double bestOFPoint;
double[] upperBound;
double[] lowerBound;
double[] paramValues;
//
ParameterData[] paramData;
ParameterData[] bestParamData;
public void createBestParamData() {
bestParamData = new ParameterData[paramData.length];
for (int i = 0; i < bestParamData.length; i++) {
bestParamData[i] = new ParameterData(paramData[i]);
}
}
void init(ParameterData[] params) {
ParameterData[] pd = new ParameterData[params.length];
for (int i = 0; i < params.length; i++) {
pd[i] = new ParameterData(params[i]);
}
setParameterData(pd);
int numOfParams = 0;
for (int i = 0; i < paramData.length; i++) {
numOfParams += paramData[i].getCalibrationDataSize();
}
// transfer values from paramData array to paramValue
paramValues = new double[numOfParams];
lowerBound = new double[numOfParams];
upperBound = new double[numOfParams];
int index = 0;
for (int i = 0; i < paramData.length; i++) {
double[] values = paramData[i].getCalibrationData();
for (int j = 0; j < values.length; j++) {
paramValues[index] = values[j];
lowerBound[index] = paramData[i].getLowerBound();
upperBound[index] = paramData[i].getUpperBound();
index++;
}
}
bestOFPoint = 0.0;
}
public void setObjFuncValueOfBestPoint(double d) {
bestOFPoint = d;
}
public double getObjFuncValueOfBestPoint() {
return bestOFPoint;
}
public void setParameterData(ParameterData[] paramData) {
this.paramData = paramData;
}
public void setParamValues(double[] paramValues) {
this.paramValues = paramValues;
int index = 0;
for (int i = 0; i < paramData.length; i++) {
double[] data = new double[paramData[i].getCalibrationDataSize()];
if (paramValues.length < data.length) {
throw new RuntimeException("CalibrationDataSize = " + paramData[i].getCalibrationDataSize() +
"; but paramValues.length = " + paramValues.length);
}
for (int j = 0; j < data.length; j++) {
data[j] = paramValues[index];
index++;
}
paramData[i].generateValues(data);
}
}
public void setBestParamData(double[] bestParamValues, double bestOFPoint) {
this.bestOFPoint = bestOFPoint;
setBestParamData(bestParamValues);
}
public void setBestParamData(double[] bestParamValues) {
int index = 0;
for (int i = 0; i < bestParamData.length; i++) {
double[] data = new double[bestParamData[i].getCalibrationDataSize()];
for (int j = 0; j < data.length; j++) {
data[j] = bestParamValues[index];
index++;
}
bestParamData[i].generateValues(data);
}
}
public double[] getBestParamDataArray() {
double[] bestParamValues = new double[paramValues.length];
int index = 0;
for (int i = 0; i < bestParamData.length; i++) {
double[] values = bestParamData[i].getCalibrationData();
for (int j = 0; j < values.length; j++) {
bestParamValues[index] = values[j];
index++;
}
}
return bestParamValues;
}
public double[] getUpperBound() {
return upperBound;
}
public double[] getLowerBound() {
return lowerBound;
}
public double[] getParamValues() {
return paramValues;
}
static public void copyParamValues(Data source, Data dest) {
double[] paramValueArray = new double[source.getParamValues().length];
for (int i = 0; i < paramValueArray.length; i++) {
paramValueArray[i] = source.getParamValues()[i];
}
dest.setParamValues(paramValueArray);
dest.setBestParamData(paramValueArray);
}
}
Data[] r;
public Data[] round() {
return r;
}
////////////////// Runtime fields and methods
Date calibStart;
Date calibEnd;
File outFolder;
void post(int round, Data step) {
for (int i = round + 1; i < r.length; i++) {
Data.copyParamValues(step, r[i]);
}
}
void init(ModelExecution model, Date calibStart, Date calibEnd, int rounds) throws IOException {
this.calibStart = calibStart;
this.calibEnd = calibEnd;
this.outFolder = model.lastFolder;
r = new Data[rounds];
ParameterData[] p = create(params(), model.getParameter());
for (int i = 0; i < rounds; i++) {
r[i] = new Data();
r[i].round = i;
r[i].init(p);
// copy(sourceStepData.get(i), this.stepData[i], executionHandle);
r[i].createBestParamData();
this.NumOfParams += r[i].getParamValues().length;
}
}
public static ParameterData[] create(Params params, Map modelparams) {
ParameterData[] paramData = new ParameterData[params.getCount()];
for (int i = 0; i < paramData.length; i++) {
Param p = params.getParam().get(i);
Calibration calib = p.getCalibration();
String pname = p.getName();
Object pval = modelparams.get(pname);
if (pval == null) {
throw new RuntimeException("Paramter not found '" + pname + "'");
}
// System.out.println(pval + " " + pval.getClass());
if (pval.toString().indexOf('{') == -1 && pval.toString().indexOf('}') == -1) {
pval = '{' + pval.toString() + '}';
}
double[] pv = Conversions.convert(pval, double[].class);
boolean[] calibrate = calib.getCalibrateFlags(pv.length);
double lower = p.getLower();
double upper = p.getUpper();
if (Double.isNaN(upper)) {
throw new IllegalArgumentException("'upper' not set:" + pname);
}
if (Double.isNaN(lower)) {
throw new IllegalArgumentException("'lower' not set:" + pname);
}
if (lower > upper) {
throw new IllegalArgumentException("'lower' > 'upper' :" + pname);
}
paramData[i] = new ParameterData(pname);
paramData[i].set(pv, lower, upper, calib.getStrategyAsInt(), calibrate);
}
return paramData;
}
public boolean maximizeObjectiveFunctionValue() {
return ObjFunc.isInc(ofs);
}
public double calculateObjectiveFunctionValue(ExecutionHandle executionHandle) {
return ObjFunc.calculateObjectiveFunctionValue(ofs, calibStart, calibEnd, outFolder);
}
// public static void main(String[] args) {
// ParameterData p = new ParameterData("ggg");
// p.set(new double[] {2.3}, 0, 4, ParameterData.MEAN, new boolean[] {true});
// System.out.println(p.getMean());
// p.generateValues(4.0);
// System.out.println(Arrays.toString(p.getDataValue()));
// System.out.println(p.getMean());
// }
}
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