private static void getExperiments(VertexSystem v, int numJobs, int expID)
// getExperiments - loads the network instances into experiments.
{
jobs = new List <Experiment>(numJobs);
for (int i = 0; i < numJobs; i++)
{
jobs.Add(new Experiment(v, expID));
}
}
public static async void PerformExperiment(VertexSystem vs,
double varMin, double varStep, string varName,
int numRuns, int numIntervals,
double initialCondition, double stopCondition,
int maxIterations, int numJobs, int expID)
// varNames: R, Gamma, Beta, G, cZero
{
DateTime startTime = DateTime.Now;
getExperiments(vs, numJobs, expID, initialCondition, stopCondition, maxIterations, varName, varMin, varStep);
if (numRuns > 1) //numRuns has to be >= to numJobs
{
for (int i = 0; i < numIntervals; i++) //step through the variable parameter.
{
FileIO file = jobs[0].SetFile(i); //get file name all jobs are just copies of eachother so it doesn't metter which one the method is called on.
if (numRuns > numJobs)
{
for (int j = 0; j < numRuns; j += numJobs) // this loop runs the jobs on parallel threads. All same work.
{
await ParallelJobExecutor(numJobs, expID); // releases the main thread until done.
WriteResultsToFile(file, expID);
SendStatusUpdate(numIntervals, numRuns, i, j + numJobs, startTime);
}
}
else
{
await ParallelJobExecutor(numRuns, expID);
WriteResultsToFile(file, expID);
SendStatusUpdate(numIntervals, numRuns, i, numRuns, startTime);
}
IncrementVarForAllJobs(i);
file.CloseFile();
}
}
else
{
int k = 0;
FileIO[] files = new FileIO[numJobs];
for (int i = 0; i < numIntervals; i++) //step through the variable parameter.
{
jobs[k].ExpPars.IncrementVar(i);
files[k] = jobs[k].SetFile(i);
if (++k >= numJobs)
{
await ParallelJobExecutor(files, expID);
SendStatusUpdate(numIntervals, numRuns, i, 0, startTime); // update GUI status bar.
k = 0;
}
}
}
}
private static void getExperiments(VertexSystem v, int numJobs, int expID,
double initialCondition, double threshold, double maxItr,
string varName, double varMin, double varStep)
// getExperiments - loads the network instances into experiments.
{
jobs = new List <Experiment>(numJobs);
for (int i = 0; i < numJobs; i++)
{
jobs.Add(new Experiment(v, expID, initialCondition, threshold, maxItr, varName, varMin, varStep));
}
}
public VertexSystem(VertexSystem v)
{
systemState = DataTools.listCopy(v.systemState);
systemState_tm1 = DataTools.listCopy(v.systemState);
adjMat = DataTools.listCopy(v.adjMat);
adjList = DataTools.listCopy(v.adjList);
parameters = new SystemParameters(v.parameters);
this.rdn = new Random();
//this.background = background;
sysSize = adjMat.Count;
//ApplyR(1); // reset non-zero entries to 1.
ready = true;
}
public Experiment(VertexSystem vState, int expID,
double initialCondition, double threshold, double maxItr,
string varName, double varMin, double varStep) : this(vState, expID)
{
ExpPars = new ExperimentParameters(this.parameters, initialCondition, threshold, maxItr, varName, varMin, varStep);
}
public Experiment(VertexSystem vState, int expID) : this(vState)
{
experimentIndex = expID;
}
public static event EventHandler <ExperimentCompleteEventArgs> ExperimentComplete; //this event is fired when the experiment is complete.
public Experiment(VertexSystem vState) : base(vState)
{
Results = new ExperimentResults(1000);
Results.Success = false;
//vertState = vState;
}
