use of cbit.vcell.solver.NonspatialStochSimOptions in project vcell by virtualcell.
the class TestingFrameworkWindowManager method generateTestCriteriaReport.
/**
* Insert the method's description here.
* Creation date: (8/18/2003 5:36:47 PM)
*/
private String generateTestCriteriaReport(TestCaseNew testCase, TestCriteriaNew testCriteria, Simulation testSim, TFGenerateReport.VCDocumentAndSimInfo userSelectedRefSimInfo) /*,VCDocument refDoc,VCDocument testDocument*/
{
if (testSim.getScanCount() != 1) {
throw new RuntimeException("paramater scan is not supported in Math Testing Framework");
}
SimulationSymbolTable simSymbolTable = new SimulationSymbolTable(testSim, 0);
String simReportStatus = null;
String simReportStatusMessage = null;
StringBuffer reportTCBuffer = new StringBuffer();
VariableComparisonSummary[] failVarSummaries = null;
VariableComparisonSummary[] allVarSummaries = null;
double absErr = 0;
double relErr = 0;
if (testCriteria != null) {
absErr = testCriteria.getMaxAbsError().doubleValue();
relErr = testCriteria.getMaxRelError().doubleValue();
}
try {
VCDocument testDoc = null;
if (testCase instanceof TestCaseNewMathModel) {
MathModelInfo mmInfo = ((TestCaseNewMathModel) testCase).getMathModelInfo();
MathModel mathModel = getRequestManager().getDocumentManager().getMathModel(mmInfo);
testDoc = mathModel;
} else if (testCase instanceof TestCaseNewBioModel) {
TestCaseNewBioModel bioTestCase = (TestCaseNewBioModel) testCase;
// bioTestCase.
BioModelInfo bmInfo = bioTestCase.getBioModelInfo();
BioModel bioModel = getRequestManager().getDocumentManager().getBioModel(bmInfo);
testDoc = bioModel;
}
TFGenerateReport.VCDocumentAndSimInfo refVCDocumentAndSimInfo = null;
if (userSelectedRefSimInfo == null) {
SimulationInfo refSimInfo = testCriteria.getRegressionSimInfo();
if (refSimInfo != null) {
VCDocument refDoc = null;
if (testCriteria instanceof TestCriteriaNewMathModel) {
MathModelInfo mmInfo = ((TestCriteriaNewMathModel) testCriteria).getRegressionMathModelInfo();
MathModel mathModel = getRequestManager().getDocumentManager().getMathModel(mmInfo);
refDoc = mathModel;
} else if (testCriteria instanceof TestCriteriaNewBioModel) {
BioModelInfo bmInfo = ((TestCriteriaNewBioModel) testCriteria).getRegressionBioModelInfo();
BioModel bioModel = getRequestManager().getDocumentManager().getBioModel(bmInfo);
refDoc = bioModel;
}
refVCDocumentAndSimInfo = new TFGenerateReport.VCDocumentAndSimInfo(refSimInfo, refDoc);
}
reportTCBuffer.append("\t\t" + testSim.getName() + (refVCDocumentAndSimInfo != null ? " (Using TestCrit RegrRefSim)" : "") + " : " + "\n");
} else {
refVCDocumentAndSimInfo = userSelectedRefSimInfo;
reportTCBuffer.append("\t\t" + testSim.getName() + " (Using UserDefined RegrRefSim '" + userSelectedRefSimInfo.getSimInfo().getAuthoritativeVCSimulationIdentifier() + "') : " + "\n");
}
if (testCase.getType().equals(TestCaseNew.REGRESSION) && refVCDocumentAndSimInfo == null) {
reportTCBuffer.append("\t\t\tNo reference SimInfo, SimInfoKey=" + testCriteria.getSimInfo().getVersion().getName() + ". Cannot perform Regression Test!\n");
simReportStatus = TestCriteriaNew.TCRIT_STATUS_NOREFREGR;
} else {
VCDataIdentifier vcdID = new VCSimulationDataIdentifier(testSim.getSimulationInfo().getAuthoritativeVCSimulationIdentifier(), 0);
DataManager simDataManager = getRequestManager().getDataManager(null, vcdID, testSim.isSpatial());
double[] timeArray = null;
// can be histogram, so there won't be time array
try {
timeArray = simDataManager.getDataSetTimes();
} catch (Exception ex) {
ex.printStackTrace(System.out);
}
NonspatialStochSimOptions stochOpt = testSim.getSolverTaskDescription().getStochOpt();
if ((stochOpt == null || stochOpt.getNumOfTrials() == 1) && (timeArray == null || timeArray.length == 0)) {
reportTCBuffer.append("\t\t\tNO DATA : Simulation not run yet.\n");
simReportStatus = TestCriteriaNew.TCRIT_STATUS_NODATA;
} else {
// SPATIAL simulation
if (testSim.getMathDescription().isSpatial()) {
PDEDataManager pdeDataManager = (PDEDataManager) simDataManager;
// Get EXACT solution if test case type is EXACT, Compare with numerical
if (testCase.getType().equals(TestCaseNew.EXACT) || testCase.getType().equals(TestCaseNew.EXACT_STEADY)) {
SimulationComparisonSummary simCompSummary = MathTestingUtilities.comparePDEResultsWithExact(simSymbolTable, pdeDataManager, testCase.getType(), testCriteria.getMaxAbsError(), testCriteria.getMaxRelError());
// Failed var summaries
failVarSummaries = simCompSummary.getFailingVariableComparisonSummaries(absErr, relErr);
allVarSummaries = simCompSummary.getVariableComparisonSummaries();
if (failVarSummaries.length > 0) {
simReportStatus = TestCriteriaNew.TCRIT_STATUS_FAILEDVARS;
// Failed simulation
reportTCBuffer.append("\t\tTolerance test FAILED \n");
reportTCBuffer.append("\t\tFailed Variables : \n");
for (int m = 0; m < failVarSummaries.length; m++) {
reportTCBuffer.append("\t\t\t" + failVarSummaries[m].toShortString() + "\n");
}
} else {
simReportStatus = TestCriteriaNew.TCRIT_STATUS_PASSED;
reportTCBuffer.append("\t\tTolerance test PASSED \n");
}
reportTCBuffer.append("\t\tPassed Variables : \n");
// Check if varSummary exists in failed summaries list. If not, simulation passed.
for (int m = 0; m < allVarSummaries.length; m++) {
if (!BeanUtils.arrayContains(failVarSummaries, allVarSummaries[m])) {
reportTCBuffer.append("\t\t\t" + allVarSummaries[m].toShortString() + "\n");
}
}
// Get CONSTRUCTED solution if test case type is CONSTRUCTED, Compare with numerical
} else if (testCase.getType().equals(TestCaseNew.CONSTRUCTED)) {
SimulationComparisonSummary simCompSummary = MathTestingUtilities.comparePDEResultsWithExact(simSymbolTable, pdeDataManager, testCase.getType(), testCriteria.getMaxAbsError(), testCriteria.getMaxRelError());
// Failed var summaries
failVarSummaries = simCompSummary.getFailingVariableComparisonSummaries(absErr, relErr);
allVarSummaries = simCompSummary.getVariableComparisonSummaries();
if (failVarSummaries.length > 0) {
simReportStatus = TestCriteriaNew.TCRIT_STATUS_FAILEDVARS;
// Failed simulation
reportTCBuffer.append("\t\tTolerance test FAILED \n");
reportTCBuffer.append("\t\tFailed Variables : \n");
for (int m = 0; m < failVarSummaries.length; m++) {
reportTCBuffer.append("\t\t\t" + failVarSummaries[m].toShortString() + "\n");
}
} else {
simReportStatus = TestCriteriaNew.TCRIT_STATUS_PASSED;
reportTCBuffer.append("\t\tTolerance test PASSED \n");
}
reportTCBuffer.append("\t\tPassed Variables : \n");
// Check if varSummary exists in failed summaries list. If not, simulation passed.
for (int m = 0; m < allVarSummaries.length; m++) {
if (!BeanUtils.arrayContains(failVarSummaries, allVarSummaries[m])) {
reportTCBuffer.append("\t\t\t" + allVarSummaries[m].toShortString() + "\n");
}
}
} else if (testCase.getType().equals(TestCaseNew.REGRESSION)) {
Simulation refSim = ((ClientDocumentManager) getRequestManager().getDocumentManager()).getSimulation(refVCDocumentAndSimInfo.getSimInfo());
VCDataIdentifier refVcdID = new VCSimulationDataIdentifier(refVCDocumentAndSimInfo.getSimInfo().getAuthoritativeVCSimulationIdentifier(), 0);
PDEDataManager refDataManager = (PDEDataManager) getRequestManager().getDataManager(null, refVcdID, refSim.isSpatial());
if (refSim.getScanCount() != 1) {
throw new RuntimeException("paramater scan is not supported in Math Testing Framework");
}
SimulationSymbolTable refSimSymbolTable = new SimulationSymbolTable(refSim, 0);
String[] varsToCompare = getVariableNamesToCompare(simSymbolTable, refSimSymbolTable);
SimulationComparisonSummary simCompSummary = MathTestingUtilities.comparePDEResults(simSymbolTable, pdeDataManager, refSimSymbolTable, refDataManager, varsToCompare, testCriteria.getMaxAbsError(), testCriteria.getMaxRelError(), refVCDocumentAndSimInfo.getVCDocument(), getDataInfoProvider(refVCDocumentAndSimInfo.getVCDocument(), refDataManager.getPDEDataContext(), refSim.getName()), testDoc, getDataInfoProvider(testDoc, pdeDataManager.getPDEDataContext(), testSim.getName()));
// Failed var summaries
failVarSummaries = simCompSummary.getFailingVariableComparisonSummaries(absErr, relErr);
allVarSummaries = simCompSummary.getVariableComparisonSummaries();
if (failVarSummaries.length > 0) {
simReportStatus = TestCriteriaNew.TCRIT_STATUS_FAILEDVARS;
// Failed simulation
reportTCBuffer.append("\t\tTolerance test FAILED \n");
reportTCBuffer.append("\t\tFailed Variables : \n");
for (int m = 0; m < failVarSummaries.length; m++) {
reportTCBuffer.append("\t\t\t" + failVarSummaries[m].toShortString() + "\n");
}
} else {
simReportStatus = TestCriteriaNew.TCRIT_STATUS_PASSED;
reportTCBuffer.append("\t\tTolerance test PASSED \n");
}
reportTCBuffer.append("\t\tPassed Variables : \n");
// Check if varSummary exists in failed summaries list. If not, simulation passed.
for (int m = 0; m < allVarSummaries.length; m++) {
if (!BeanUtils.arrayContains(failVarSummaries, allVarSummaries[m])) {
reportTCBuffer.append("\t\t\t" + allVarSummaries[m].toShortString() + "\n");
}
}
}
} else {
// NON-SPATIAL CASE
ODEDataManager odeDataManager = (ODEDataManager) simDataManager;
ODESolverResultSet numericalResultSet = odeDataManager.getODESolverResultSet();
// Get EXACT result set if test case type is EXACT, Compare with numerical
if (testCase.getType().equals(TestCaseNew.EXACT) || testCase.getType().equals(TestCaseNew.EXACT_STEADY)) {
ODESolverResultSet exactResultSet = MathTestingUtilities.getExactResultSet(testSim.getMathDescription(), timeArray, testSim.getSolverTaskDescription().getSensitivityParameter());
String[] varsToCompare = getVariableNamesToCompare(simSymbolTable, simSymbolTable);
SimulationComparisonSummary simCompSummary_exact = MathTestingUtilities.compareResultSets(numericalResultSet, exactResultSet, varsToCompare, testCase.getType(), testCriteria.getMaxAbsError(), testCriteria.getMaxRelError());
// Get all the variable comparison summaries and the failed ones to print out report for EXACT solution comparison.
failVarSummaries = simCompSummary_exact.getFailingVariableComparisonSummaries(absErr, relErr);
allVarSummaries = simCompSummary_exact.getVariableComparisonSummaries();
if (failVarSummaries.length > 0) {
simReportStatus = TestCriteriaNew.TCRIT_STATUS_FAILEDVARS;
// Failed simulation
reportTCBuffer.append("\t\tTolerance test FAILED \n");
reportTCBuffer.append("\t\tFailed Variables : \n");
for (int m = 0; m < failVarSummaries.length; m++) {
reportTCBuffer.append("\t\t\t" + failVarSummaries[m].toShortString() + "\n");
}
} else {
simReportStatus = TestCriteriaNew.TCRIT_STATUS_PASSED;
reportTCBuffer.append("\t\tTolerance test PASSED \n");
}
reportTCBuffer.append("\t\tPassed Variables : \n");
// Check if varSummary exists in failed summaries list. If not, simulation passed.
for (int m = 0; m < allVarSummaries.length; m++) {
if (!BeanUtils.arrayContains(failVarSummaries, allVarSummaries[m])) {
reportTCBuffer.append("\t\t\t" + allVarSummaries[m].toShortString() + "\n");
}
}
// Get CONSTRUCTED result set if test case type is CONSTRUCTED , compare with numerical
} else if (testCase.getType().equals(TestCaseNew.CONSTRUCTED)) {
ODESolverResultSet constructedResultSet = MathTestingUtilities.getConstructedResultSet(testSim.getMathDescription(), timeArray);
String[] varsToCompare = getVariableNamesToCompare(simSymbolTable, simSymbolTable);
SimulationComparisonSummary simCompSummary_constr = MathTestingUtilities.compareResultSets(numericalResultSet, constructedResultSet, varsToCompare, testCase.getType(), testCriteria.getMaxAbsError(), testCriteria.getMaxRelError());
// Get all the variable comparison summaries and the failed ones to print out report for CONSTRUCTED solution comparison.
failVarSummaries = simCompSummary_constr.getFailingVariableComparisonSummaries(absErr, relErr);
allVarSummaries = simCompSummary_constr.getVariableComparisonSummaries();
if (failVarSummaries.length > 0) {
simReportStatus = TestCriteriaNew.TCRIT_STATUS_FAILEDVARS;
// Failed simulation
reportTCBuffer.append("\t\tTolerance test FAILED \n");
reportTCBuffer.append("\t\tFailed Variables : \n");
for (int m = 0; m < failVarSummaries.length; m++) {
reportTCBuffer.append("\t\t\t" + failVarSummaries[m].toShortString() + "\n");
}
} else {
simReportStatus = TestCriteriaNew.TCRIT_STATUS_PASSED;
reportTCBuffer.append("\t\tTolerance test PASSED \n");
}
reportTCBuffer.append("\t\tPassed Variables : \n");
// Check if varSummary exists in failed summaries list. If not, simulation passed.
for (int m = 0; m < allVarSummaries.length; m++) {
if (!BeanUtils.arrayContains(failVarSummaries, allVarSummaries[m])) {
reportTCBuffer.append("\t\t\t" + allVarSummaries[m].toShortString() + "\n");
}
}
} else if (testCase.getType().equals(TestCaseNew.REGRESSION)) {
Simulation refSim = ((ClientDocumentManager) getRequestManager().getDocumentManager()).getSimulation(testCriteria.getRegressionSimInfo());
if (refSim.getScanCount() != 1) {
throw new RuntimeException("paramater scan is not supported in Math Testing Framework");
}
SimulationSymbolTable refSimSymbolTable = new SimulationSymbolTable(refSim, 0);
String[] varsToTest = getVariableNamesToCompare(simSymbolTable, refSimSymbolTable);
VCDataIdentifier refVcdID = new VCSimulationDataIdentifier(refVCDocumentAndSimInfo.getSimInfo().getAuthoritativeVCSimulationIdentifier(), 0);
ODEDataManager refDataManager = (ODEDataManager) getRequestManager().getDataManager(null, refVcdID, refSim.isSpatial());
ODESolverResultSet referenceResultSet = refDataManager.getODESolverResultSet();
SimulationComparisonSummary simCompSummary_regr = null;
int interpolationOrder = 1;
SolverTaskDescription solverTaskDescription = refSim.getSolverTaskDescription();
if (solverTaskDescription.getOutputTimeSpec().isDefault() && ((DefaultOutputTimeSpec) solverTaskDescription.getOutputTimeSpec()).getKeepEvery() == 1) {
SolverDescription solverDescription = solverTaskDescription.getSolverDescription();
if ((!solverDescription.supportsAll(SolverDescription.DiscontinutiesFeatures)) || !refSim.getMathDescription().hasDiscontinuities()) {
interpolationOrder = solverDescription.getTimeOrder();
}
}
simCompSummary_regr = MathTestingUtilities.compareUnEqualResultSets(numericalResultSet, referenceResultSet, varsToTest, testCriteria.getMaxAbsError(), testCriteria.getMaxRelError(), interpolationOrder);
// Get all the variable comparison summaries and the failed ones to print out report for CONSTRUCTED solution comparison.
failVarSummaries = simCompSummary_regr.getFailingVariableComparisonSummaries(absErr, relErr);
allVarSummaries = simCompSummary_regr.getVariableComparisonSummaries();
if (failVarSummaries.length > 0) {
simReportStatus = TestCriteriaNew.TCRIT_STATUS_FAILEDVARS;
// Failed simulation
reportTCBuffer.append("\t\tTolerance test FAILED \n");
reportTCBuffer.append("\t\tFailed Variables : \n");
for (int m = 0; m < failVarSummaries.length; m++) {
reportTCBuffer.append("\t\t\t" + failVarSummaries[m].toShortString() + "\n");
}
} else {
simReportStatus = TestCriteriaNew.TCRIT_STATUS_PASSED;
reportTCBuffer.append("\t\tTolerance test PASSED \n");
}
reportTCBuffer.append("\t\tPassed Variables : \n");
// Check if varSummary exists in failed summaries list. If not, simulation passed.
for (int m = 0; m < allVarSummaries.length; m++) {
if (!BeanUtils.arrayContains(failVarSummaries, allVarSummaries[m])) {
reportTCBuffer.append("\t\t\t" + allVarSummaries[m].toShortString() + "\n");
}
}
}
}
}
}
} catch (Throwable e) {
simReportStatus = TestCriteriaNew.TCRIT_STATUS_RPERROR;
simReportStatusMessage = e.getClass().getName() + " " + e.getMessage();
reportTCBuffer.append("\t\t" + simReportStatusMessage + "\n");
e.printStackTrace(System.out);
}
if (userSelectedRefSimInfo == null) {
try {
// Remove any test results already present for testCriteria
RemoveTestResultsOP removeResultsOP = new RemoveTestResultsOP(new BigDecimal[] { testCriteria.getTCritKey() });
// testResultsOPsVector.add(removeResultsOP);
getRequestManager().getDocumentManager().doTestSuiteOP(removeResultsOP);
// Create new AddTestREsultsOP object for the current simulation./testCriteria.
if (allVarSummaries != null) {
AddTestResultsOP testResultsOP = new AddTestResultsOP(testCriteria.getTCritKey(), allVarSummaries);
// testResultsOPsVector.add(testResultsOP);
// Write the testResults for simulation/TestCriteria into the database ...
getRequestManager().getDocumentManager().doTestSuiteOP(testResultsOP);
}
// Update report status
updateTCritStatus(testCriteria, simReportStatus, simReportStatusMessage);
} catch (Throwable e) {
reportTCBuffer.append("\t\tUpdate DB Results failed. " + e.getClass().getName() + " " + e.getMessage() + "\n");
try {
getRequestManager().getDocumentManager().doTestSuiteOP(new EditTestCriteriaOPReportStatus(testCriteria.getTCritKey(), TestCriteriaNew.TCRIT_STATUS_RPERROR, e.getClass().getName() + " " + e.getMessage()));
} catch (Throwable e2) {
// Nothing more can be done
}
}
}
return reportTCBuffer.toString();
}
use of cbit.vcell.solver.NonspatialStochSimOptions in project vcell by virtualcell.
the class NetCDFWriter method writeHybridInputFile.
/**
* Write the model to a NetCDF file which serves as an input for stoch hybrid simulator.
* To write to a NetCDF file is a bit complicated. First, we have to create a NetCDF-3
* file. And then feed in the data.
* Creation date: (5/22/2007 5:36:03 PM)
*/
public void writeHybridInputFile(String[] parameterNames) throws Exception, cbit.vcell.parser.ExpressionException, IOException, MathException, InvalidRangeException {
Simulation simulation = simTask.getSimulation();
SimulationSymbolTable simSymbolTable = simTask.getSimulationJob().getSimulationSymbolTable();
if (initialize()) {
// we need to get model and control information first
NetcdfFileWriteable ncfile = NetcdfFileWriteable.createNew(filename, false);
// Model info. will be extracted from subDomain of mathDescription
java.util.Enumeration<SubDomain> e = simulation.getMathDescription().getSubDomains();
// remember we are dealing with compartmental model here. only 1 subdomain.
SubDomain subDomain = e.nextElement();
JumpProcess[] reactions = (JumpProcess[]) subDomain.getJumpProcesses().toArray(new JumpProcess[subDomain.getJumpProcesses().size()]);
// get species variable names
Variable[] variables = simSymbolTable.getVariables();
String[] speciesNames = new String[variables.length];
for (int i = 0; i < variables.length; i++) speciesNames[i] = variables[i].getName();
// the probabilities for reactions
Expression[] probs = new Expression[reactions.length];
for (int i = 0; i < reactions.length; i++) {
probs[i] = simSymbolTable.substituteFunctions(reactions[i].getProbabilityRate());
probs[i] = probs[i].flatten();
}
VarIniCondition[] varInis = (VarIniCondition[]) subDomain.getVarIniConditions().toArray(new VarIniCondition[subDomain.getVarIniConditions().size()]);
// the non-constant stoch variables
Vector<Variable> vars = new Vector<Variable>();
for (int i = 0; i < varInis.length; i++) {
if (varInis[i].getVar() instanceof StochVolVariable) {
vars.addElement(varInis[i].getVar());
}
}
// get reaction rate law types and rate constants
ReactionRateLaw[] reactionRateLaws = getReactionRateLaws(probs);
SolverTaskDescription solverTaskDescription = simulation.getSolverTaskDescription();
TimeBounds timeBounds = solverTaskDescription.getTimeBounds();
UniformOutputTimeSpec timeSpec = (UniformOutputTimeSpec) solverTaskDescription.getOutputTimeSpec();
UniformOutputTimeSpec outputTimeSpec = ((UniformOutputTimeSpec) solverTaskDescription.getOutputTimeSpec());
NonspatialStochSimOptions stochOpt = solverTaskDescription.getStochOpt();
// create an empty NetCDF-3 file
// define dimensions
/* these sizes must match the buffers allocated in corresponding Fortran code -- see globalvariables.f90
in numerics Hy3S/src directory */
Dimension numTrial = ncfile.addDimension("NumTrials", (int) stochOpt.getNumOfTrials());
Dimension numSpecies = ncfile.addDimension("NumSpecies", vars.size());
Dimension numReactions = ncfile.addDimension("NumReactions", subDomain.getJumpProcesses().size());
int outPoints = ((int) ((timeBounds.getEndingTime() - timeBounds.getStartingTime()) / outputTimeSpec.getOutputTimeStep())) + 1;
Dimension numTimePoints = ncfile.addDimension("NumTimePoints", outPoints);
Dimension numModels = ncfile.addDimension("NumModels", 1);
Dimension numMaxDepList = ncfile.addDimension("NumMaxDepList", 6);
Dimension numMaxStoichList = ncfile.addDimension("NumMaxStoichList", 25);
Dimension stringLen = ncfile.addDimension("StringLen", 72);
// define variables
// jms info
ArrayList<Dimension> dims = new ArrayList<Dimension>();
dims.add(stringLen);
if (bMessaging) {
ncfile.addVariable("JMS_BROKER", DataType.CHAR, dims);
ncfile.addVariable("JMS_USER", DataType.CHAR, dims);
ncfile.addVariable("JMS_PASSWORD", DataType.CHAR, dims);
ncfile.addVariable("JMS_QUEUE", DataType.CHAR, dims);
ncfile.addVariable("JMS_TOPIC", DataType.CHAR, dims);
ncfile.addVariable("VCELL_USER", DataType.CHAR, dims);
ncfile.addVariable("SIMULATION_KEY", DataType.INT, new ArrayList<Dimension>());
ncfile.addVariable("JOB_INDEX", DataType.INT, new ArrayList<Dimension>());
}
// scalars
ncfile.addVariable("TStart", DataType.DOUBLE, new ArrayList<Dimension>());
ncfile.addVariable("TEnd", DataType.DOUBLE, new ArrayList<Dimension>());
ncfile.addVariable("SaveTime", DataType.DOUBLE, new ArrayList<Dimension>());
ncfile.addVariable("Volume", DataType.DOUBLE, new ArrayList<Dimension>());
ncfile.addVariable("CellGrowthTime", DataType.DOUBLE, new ArrayList<Dimension>());
ncfile.addVariable("CellGrowthTimeSD", DataType.DOUBLE, new ArrayList<Dimension>());
ncfile.addVariable("ExpType", DataType.INT, new ArrayList<Dimension>());
ncfile.addVariable("LastTrial", DataType.INT, new ArrayList<Dimension>());
ncfile.addVariable("LastModel", DataType.INT, new ArrayList<Dimension>());
ncfile.addVariable("MaxNumModels", DataType.INT, new ArrayList<Dimension>());
ncfile.addVariable("NumModels", DataType.INT, new ArrayList<Dimension>());
// variables with at least 1 dimension
ArrayList<Dimension> dimspecies = new ArrayList<Dimension>();
dimspecies.add(numSpecies);
ArrayList<Dimension> dimreactions = new ArrayList<Dimension>();
dimreactions.add(numReactions);
ncfile.addVariable("SpeciesSplitOnDivision", DataType.INT, dimspecies);
ncfile.addVariable("SaveSpeciesData", DataType.INT, dimspecies);
ncfile.addVariable("Reaction_Rate_Laws", DataType.INT, dimreactions);
ncfile.addVariable("Reaction_DListLen", DataType.INT, dimreactions);
ncfile.addVariable("Reaction_StoichListLen", DataType.INT, dimreactions);
ncfile.addVariable("Reaction_OptionalData", DataType.INT, dimreactions);
dims.clear();
dims.add(numReactions);
dims.add(numMaxStoichList);
ncfile.addVariable("Reaction_StoichCoeff", DataType.INT, dims);
ncfile.addVariable("Reaction_StoichSpecies", DataType.INT, dims);
dims.clear();
dims.add(numReactions);
dims.add(numMaxDepList);
ncfile.addVariable("Reaction_DepList", DataType.INT, dims);
dims.clear();
dims.add(numReactions);
dims.add(stringLen);
ncfile.addVariable("Reaction_names", DataType.CHAR, dims);
dims.clear();
dims.add(numSpecies);
dims.add(stringLen);
ncfile.addVariable("Species_names", DataType.CHAR, dims);
ncfile.addVariable("SpeciesIC", DataType.INT, dimspecies);
dims.clear();
dims.add(numReactions);
dims.add(numMaxDepList);
ncfile.addVariable("Reaction_Rate_Constants", DataType.DOUBLE, dims);
// create the file
try {
ncfile.create();
} catch (IOException ioe) {
ioe.printStackTrace(System.err);
throw new IOException("Error creating hybrid file " + filename + ": " + ioe.getMessage());
}
// write data to the NetCDF file
try {
// write jms info
if (bMessaging) {
ArrayChar.D1 jmsString = new ArrayChar.D1(stringLen.getLength());
String jmshost = PropertyLoader.getRequiredProperty(PropertyLoader.jmsHostExternal);
//
// Used for new REST HTTP messaging api (USE THIS WHEN Hyrbid Solvers are compiled).
//
// String jmsrestport = PropertyLoader.getRequiredProperty(PropertyLoader.jmsRestPortExternal);
// String jmsurl = jmshost+":"+jmsrestport;
//
// connect to messaging using legacy AMQP protocol instead of new REST api. Needed for legacy pre-compiled solvers.
//
String jmsport = PropertyLoader.getRequiredProperty(PropertyLoader.jmsPortExternal);
String jmsurl = "failover:(tcp://" + jmshost + ":" + jmsport + ")";
jmsString.setString(jmsurl);
ncfile.write("JMS_BROKER", jmsString);
jmsString.setString(PropertyLoader.getRequiredProperty(PropertyLoader.jmsUser));
ncfile.write("JMS_USER", jmsString);
String jmsPassword = PropertyLoader.getSecretValue(PropertyLoader.jmsPasswordValue, PropertyLoader.jmsPasswordFile);
jmsString.setString(jmsPassword);
ncfile.write("JMS_PASSWORD", jmsString);
jmsString.setString(VCellQueue.WorkerEventQueue.getName());
ncfile.write("JMS_QUEUE", jmsString);
jmsString.setString(VCellTopic.ServiceControlTopic.getName());
ncfile.write("JMS_TOPIC", jmsString);
jmsString.setString(simulation.getVersion().getOwner().getName());
ncfile.write("VCELL_USER", jmsString);
ArrayInt.D0 scalarJMS = new ArrayInt.D0();
scalarJMS.set(Integer.parseInt(simulation.getVersion().getVersionKey() + ""));
ncfile.write("SIMULATION_KEY", scalarJMS);
scalarJMS.set(simTask.getSimulationJob().getJobIndex());
ncfile.write("JOB_INDEX", scalarJMS);
}
ArrayDouble.D0 scalarDouble = new ArrayDouble.D0();
// TStart, TEnd, SaveTime
if ((timeBounds.getEndingTime() > timeBounds.getStartingTime()) && (outputTimeSpec.getOutputTimeStep() > 0)) {
scalarDouble.set(timeBounds.getStartingTime());
ncfile.write("TStart", scalarDouble);
scalarDouble.set(timeBounds.getEndingTime());
ncfile.write("TEnd", scalarDouble);
scalarDouble.set(outputTimeSpec.getOutputTimeStep());
ncfile.write("SaveTime", scalarDouble);
} else {
System.err.println("Time setting error. Ending time smaller than starting time or save interval is not a positive value.");
throw new RuntimeException("Time setting error. Ending time smaller than starting time or save interval is not a positive value.");
}
// Volume
// we set volume to 1. This model file cannot support multi-compartmental sizes.
// When writting the rate constants, we must take the volume into account according to the reaction type.
scalarDouble.set(1);
ncfile.write("Volume", scalarDouble);
// CellGrowthTime, CellGrowthTimeSD,
scalarDouble.set(0);
ncfile.write("CellGrowthTime", scalarDouble);
ncfile.write("CellGrowthTimeSD", scalarDouble);
// ExpType, Last Trial, Last Model, MaxNumModels, NumModels
ArrayInt.D0 scalarInt = new ArrayInt.D0();
scalarInt.set(0);
ncfile.write("LastTrial", scalarInt);
ncfile.write("LastModel", scalarInt);
scalarInt.set(1);
ncfile.write("ExpType", scalarInt);
ncfile.write("MaxNumModels", scalarInt);
ncfile.write("NumModels", scalarInt);
// SpeciesSplitOnDivision
ArrayInt A1 = new ArrayInt.D1(numSpecies.getLength());
Index idx = A1.getIndex();
for (int i = 0; i < numSpecies.getLength(); i++) {
A1.setInt(idx.set(i), 0);
}
ncfile.write("SpeciesSplitOnDivision", new int[1], A1);
// SaveSpeciesData
ArrayInt A2 = new ArrayInt.D1(numSpecies.getLength());
idx = A2.getIndex();
for (int i = 0; i < numSpecies.getLength(); i++) {
A2.setInt(idx.set(i), 1);
}
ncfile.write("SaveSpeciesData", new int[1], A2);
// Reaction_Rate_Laws
ArrayInt A3 = new ArrayInt.D1(numReactions.getLength());
idx = A3.getIndex();
for (int i = 0; i < numReactions.getLength(); i++) {
A3.setInt(idx.set(i), reactionRateLaws[i].getLawType());
}
ncfile.write("Reaction_Rate_Laws", new int[1], A3);
// Reaction_DListLen
ArrayInt A4 = new ArrayInt.D1(numReactions.getLength());
idx = A4.getIndex();
for (int i = 0; i < numReactions.getLength(); i++) {
if (reactionRateLaws[i].getLawType() == ReactionRateLaw.order_0)
A4.setInt(idx.set(i), 0);
else if ((reactionRateLaws[i].getLawType() == ReactionRateLaw.order_1) || (reactionRateLaws[i].getLawType() == ReactionRateLaw.order_2_1substrate) || (reactionRateLaws[i].getLawType() == ReactionRateLaw.order_3_1substrate))
A4.setInt(idx.set(i), 1);
else if ((reactionRateLaws[i].getLawType() == ReactionRateLaw.order_2_2substrate) || (reactionRateLaws[i].getLawType() == ReactionRateLaw.order_3_2substrate))
A4.setInt(idx.set(i), 2);
else if (reactionRateLaws[i].getLawType() == ReactionRateLaw.order_3_3substrate)
A4.setInt(idx.set(i), 3);
}
ncfile.write("Reaction_DListLen", new int[1], A4);
// Reaction_StoichListLen
ArrayInt A5 = new ArrayInt.D1(numReactions.getLength());
idx = A5.getIndex();
for (int i = 0; i < numReactions.getLength(); i++) {
A5.setInt(idx.set(i), reactions[i].getActions().size());
}
ncfile.write("Reaction_StoichListLen", new int[1], A5);
// Reaction_OptionalData
ArrayInt A6 = new ArrayInt.D1(numReactions.getLength());
idx = A6.getIndex();
for (int i = 0; i < numReactions.getLength(); i++) {
A6.setInt(idx.set(i), 0);
}
ncfile.write("Reaction_OptionalData", new int[1], A6);
// Reaction_StoichCoeff
ArrayInt A7 = new ArrayInt.D2(numReactions.getLength(), numMaxStoichList.getLength());
idx = A7.getIndex();
for (int i = 0; i < numReactions.getLength(); i++) {
Action[] actions = (Action[]) reactions[i].getActions().toArray(new Action[reactions[i].getActions().size()]);
for (int j = 0; j < actions.length; j++) {
try {
actions[j].getOperand().evaluateConstant();
int coeff = (int) Math.round(actions[j].getOperand().evaluateConstant());
A7.setInt(idx.set(i, j), coeff);
} catch (ExpressionException ex) {
ex.printStackTrace(System.err);
throw new ExpressionException(ex.getMessage());
}
}
}
ncfile.write("Reaction_StoichCoeff", new int[2], A7);
// Reaction_StoichSpecies
ArrayInt A8 = new ArrayInt.D2(numReactions.getLength(), numMaxStoichList.getLength());
idx = A8.getIndex();
for (int i = 0; i < numReactions.getLength(); i++) {
ArrayList<Action> actions = reactions[i].getActions();
for (int j = 0; j < actions.size(); j++) {
A8.setInt(idx.set(i, j), getVariableIndex(((Action) actions.get(j)).getVar().getName(), vars));
}
}
ncfile.write("Reaction_StoichSpecies", new int[2], A8);
// Reaction_DepList
ArrayInt A9 = new ArrayInt.D2(numReactions.getLength(), numMaxDepList.getLength());
idx = A9.getIndex();
for (int i = 0; i < numReactions.getLength(); i++) {
ReactionRateLaw rl = reactionRateLaws[i];
Hashtable<String, Integer> tem = varInProbOrderHash[i];
Enumeration<String> varnames = tem.keys();
if (rl.getLawType() == ReactionRateLaw.order_0) {
// don't do anything here.
} else if ((rl.getLawType() == ReactionRateLaw.order_1) || (rl.getLawType() == ReactionRateLaw.order_2_1substrate) || (rl.getLawType() == ReactionRateLaw.order_3_1substrate) || (rl.getLawType() == ReactionRateLaw.order_2_2substrate) || (rl.getLawType() == ReactionRateLaw.order_3_3substrate)) {
int j = 0;
while (varnames.hasMoreElements()) {
String name = varnames.nextElement();
A9.setInt(idx.set(i, j), getVariableIndex(name, vars));
j++;
}
} else if (rl.getLawType() == ReactionRateLaw.order_3_2substrate) {
int order = 0;
String highOrderName = "";
String lowOrderName = "";
// we must make sure to put the higher order species first.
while (varnames.hasMoreElements()) {
lowOrderName = varnames.nextElement();
if (tem.get(lowOrderName) > order) {
String s = highOrderName;
highOrderName = lowOrderName;
lowOrderName = s;
order = tem.get(highOrderName);
}
}
A9.setInt(idx.set(i, 0), getVariableIndex(highOrderName, vars));
A9.setInt(idx.set(i, 1), getVariableIndex(lowOrderName, vars));
}
}
ncfile.write("Reaction_DepList", new int[2], A9);
// Reaction_names
ArrayChar A10 = new ArrayChar.D2(numReactions.getLength(), stringLen.getLength());
for (int i = 0; i < numReactions.getLength(); i++) {
String name = reactions[i].getName();
int diff = stringLen.getLength() - name.length();
if (diff >= 0) {
for (int j = 0; j < diff; j++) {
name = name + " ";
}
A10.setString(i, name);
} else
throw new RuntimeException("Name of Reaction:" + name + " is too long. Please shorten to " + stringLen.getLength() + " chars.");
}
ncfile.write("Reaction_names", A10);
// Species_names
ArrayChar A11 = new ArrayChar.D2(numSpecies.getLength(), stringLen.getLength());
for (int i = 0; i < numSpecies.getLength(); i++) {
String name = vars.elementAt(i).getName();
int diff = stringLen.getLength() - name.length();
if (diff >= 0) {
for (int j = 0; j < diff; j++) {
name = name + " ";
}
A11.setString(i, name);
} else
throw new RuntimeException("Name of Species:" + name + " is too long. Please shorten to " + stringLen.getLength() + " chars.");
}
ncfile.write("Species_names", A11);
// Species Initial Condition (in number of molecules).
// Species iniCondition are sampled from a poisson distribution(which has a mean of the current iniExp value)
RandomDataGenerator dist = new RandomDataGenerator();
if (stochOpt.isUseCustomSeed()) {
Integer randomSeed = stochOpt.getCustomSeed();
if (randomSeed != null) {
dist.reSeed(randomSeed);
}
}
ArrayLong A12 = new ArrayLong.D1(numSpecies.getLength());
idx = A12.getIndex();
for (int i = 0; i < numSpecies.getLength(); i++) {
try {
VarIniCondition varIniCondition = subDomain.getVarIniCondition(vars.elementAt(i));
Expression varIniExp = varIniCondition.getIniVal();
varIniExp.bindExpression(simSymbolTable);
varIniExp = simSymbolTable.substituteFunctions(varIniExp).flatten();
double expectedCount = varIniExp.evaluateConstant();
long varCount = 0;
if (varIniCondition instanceof VarIniCount) {
varCount = (long) expectedCount;
} else {
if (expectedCount > 0) {
varCount = dist.nextPoisson(expectedCount);
}
}
A12.setLong(idx.set(i), varCount);
} catch (ExpressionException ex) {
ex.printStackTrace(System.err);
throw new ExpressionException(ex.getMessage());
}
}
ncfile.write("SpeciesIC", new int[1], A12);
// Reaction_Rate_Constants(NumReactions, NumMaxDepList) ;
ArrayDouble A13 = new ArrayDouble.D2(numReactions.getLength(), numMaxDepList.getLength());
idx = A13.getIndex();
for (int i = 0; i < numReactions.getLength(); i++) {
ReactionRateLaw rl = reactionRateLaws[i];
A13.setDouble(idx.set(i, 0), rl.getRateConstant());
}
ncfile.write("Reaction_Rate_Constants", A13);
} catch (IOException ioe) {
ioe.printStackTrace(System.err);
throw new IOException("Error writing hybrid input file " + filename + ": " + ioe.getMessage());
} catch (InvalidRangeException ire) {
ire.printStackTrace(System.err);
throw new InvalidRangeException("Error writing hybrid input file " + filename + ": " + ire.getMessage());
}
try {
ncfile.close();
} catch (IOException ioe) {
throw new IOException("Error closing file " + filename + ". " + ioe.getMessage());
}
}
}
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