private void hlRun(string csvFile)
{
Console.CancelKeyPress += cancelHandler;
entropyControl.updateStatus = writeLine;
entropyControl.directProgress = directProgress;
entropyControl.clearAbortFlagFunc = clearAbortFlag;
entropyControl.abortRunFunc = abortRun;
entropyControl.abortRunFuncMT = abortRunMT;
entropyControl.updateSimUIFunc = updateSimUIST;
entropyControl.updateSimUIMTFunc = updateSimUIMT;
entropyControl.updateProgressBarFunc = updateProgress;
entropyControl.simRunningFunc = simRunning;
entropyControl.postSimUIFunc = summary;
string tmp;
if (commonVars.getFriendly())
{
tmp = utility.Utils.friendlyNumber(commonVars.getSimulationSettings().getValue(EntropySettings.properties_i.nCases));
}
else
{
tmp = commonVars.getSimulationSettings().getValue(EntropySettings.properties_i.nCases).ToString();
}
Console.WriteLine("Starting run for " + tmp + " cases.");
entropyControl.swTime = 0.0;
bool threaded = varianceContext.numberOfThreads != 1;
entropyControl.EntropyRun(commonVars.getSimulationSettings().getValue(EntropySettings.properties_i.nCases), csvFile, threaded, false);
}
private static bool pReadQuiltCSVFile(ref CommonVars commonVars, string fileName)
{
bool reading = false;
try
{
using (StreamReader sr = new(fileName))
{
reading = true;
char[] csvSeparators = { ',' };
// Read in non-CSV data first
// Pattern line
string check = sr.ReadLine();
// ReSharper disable once PossibleNullReferenceException
if (!check.StartsWith("Quilt"))
{
return(false);
}
// Now we have the meat of the data we need.
string tempString = sr.ReadLine();
string[] parsedString = tempString.Split(csvSeparators);
if (parsedString.Length >= 6)
{
// We have 6 values to extract from this line.
// X-offset, Y-offset, X pitch, Y pitch, rows, cols
// Convert from um to nm in the process.
// Take the second result of the split which is the numeric value. Convert it to double, multiply by 1000 to convert units. Make int.
commonVars.getSimulationSettings().getDOESettings().setDouble(DOESettings.properties_d.colOffset, Convert.ToDouble(parsedString[0]));
commonVars.getSimulationSettings().getDOESettings().setDouble(DOESettings.properties_d.rowOffset, Convert.ToDouble(parsedString[1]));
commonVars.getSimulationSettings().getDOESettings().setDouble(DOESettings.properties_d.colPitch, Convert.ToDouble(parsedString[2]));
commonVars.getSimulationSettings().getDOESettings().setDouble(DOESettings.properties_d.rowPitch, Convert.ToDouble(parsedString[3]));
commonVars.getSimulationSettings().getDOESettings().setInt(DOESettings.properties_i.rows, Convert.ToInt32(parsedString[4]));
commonVars.getSimulationSettings().getDOESettings().setInt(DOESettings.properties_i.cols, Convert.ToInt32(parsedString[5]));
}
else
{
// We need to break here.
ErrorReporter.showMessage_OK("CSV file doesn't match expectations.", "Aborting.");
return(false);
}
}
reading = false;
}
catch (Exception)
{
return(reading);
}
commonVars.getSimulationSettings().getDOESettings().setBool(DOESettings.properties_b.quilt, true);
commonVars.getSimulationSettings().getDOESettings().setInt(DOESettings.properties_i.uTileList, 0);
commonVars.getSimulationSettings().getDOESettings().setInt(DOESettings.properties_i.sTile, 0);
return(reading);
}
private void init(int number, bool previewMode, bool doPASearch, ref CommonVars commonVars)
{
dimensions = ChaosSettings.getDimensions();
_commonVars = commonVars;
if (_commonVars.getSimulationSettings().getValue(EntropySettings.properties_i.linkCDU) == 1)
{
dimensions -= 3;
}
sampleCount = number;
pMode = previewMode;
paSearch = doPASearch;
}
private ChaosSettings generateSample()
{
ChaosSettings currentJobSettings = new(pMode, _commonVars.getListOfSettings(), _commonVars.getSimulationSettings());
if (paSearch)
{
_commonVars.getPASearch().modifyJobSettings(ref currentJobSettings);
}
// Massage our CDUTVar if the simulation settings call for the variation to be linked (default)
// Tie up the tip variation values as well.
if (_commonVars.getSimulationSettings().getValue(EntropySettings.properties_i.linkCDU) != 1)
{
return(currentJobSettings);
}
currentJobSettings.setValues(ChaosSettings.properties.CDUTVar, currentJobSettings.getValues(ChaosSettings.properties.CDUSVar));
currentJobSettings.setValues(ChaosSettings.properties.hTipBiasVar, currentJobSettings.getValues(ChaosSettings.properties.vTipBiasVar));
currentJobSettings.setValues(ChaosSettings.properties.hTipBiasType, currentJobSettings.getValues(ChaosSettings.properties.vTipBiasType));
return(currentJobSettings);
}
private static bool pReadiDRMCSVFile(ref CommonVars commonVars, string fileName)
{
bool reading = false;
List <int[]> tilesToRun = new(); // will be col,row
try
{
using (StreamReader sr = new(fileName))
{
char[] csvSeparators = { ',' };
char[] equalSeparators = { '=' };
reading = true;
// Read in non-CSV data first
// Pattern line
sr.ReadLine();
// Now we have the meat of the data we need.
string tempString = sr.ReadLine();
// ReSharper disable once PossibleNullReferenceException
string[] parsedString = tempString.Split(csvSeparators);
if (parsedString.Length >= 6)
{
// We have 6 values to extract from this line.
// X-offset, Y-offset, X pitch, Y pitch, rows, cols
// Convert from um to nm in the process.
// Take the second result of the split which is the numeric value. Convert it to double, multiply by 1000 to convert units. Make int.
commonVars.getSimulationSettings().getDOESettings().setDouble(DOESettings.properties_d.colOffset, 1000 * Convert.ToDouble(parsedString[0].Split(equalSeparators)[1]));
commonVars.getSimulationSettings().getDOESettings().setDouble(DOESettings.properties_d.rowOffset, 1000 * Convert.ToDouble(parsedString[1].Split(equalSeparators)[1]));
commonVars.getSimulationSettings().getDOESettings().setDouble(DOESettings.properties_d.colPitch, 1000 * Convert.ToDouble(parsedString[2].Split(equalSeparators)[1]));
commonVars.getSimulationSettings().getDOESettings().setDouble(DOESettings.properties_d.rowPitch, 1000 * Convert.ToDouble(parsedString[3].Split(equalSeparators)[1]));
commonVars.getSimulationSettings().getDOESettings().setInt(DOESettings.properties_i.rows, Convert.ToInt32(Convert.ToDouble(parsedString[4].Split(equalSeparators)[1])));
commonVars.getSimulationSettings().getDOESettings().setInt(DOESettings.properties_i.cols, Convert.ToInt32(Convert.ToDouble(parsedString[5].Split(equalSeparators)[1])));
}
else
{
// We need to break here.
ErrorReporter.showMessage_OK("CSV file doesn't match expectations.", "Aborting.");
return(false);
}
sr.ReadLine(); // skip a line that we don't need.
while (!sr.EndOfStream)
{
// Assuming Pass/Fail,Column,Row,Co-ord X,Co-ord Y,,,,,,,,,,,,,
tempString = sr.ReadLine();
parsedString = tempString.Split(csvSeparators);
if (parsedString[0] == "" || parsedString[0] == "Occupy matrix")
{
break;
}
if (Convert.ToInt32(parsedString[0]) == 1)
{
// Pass case - need to add to list.
tilesToRun.Add(new [] { Convert.ToInt32(parsedString[1]), Convert.ToInt32(parsedString[2]) });
}
}
}
commonVars.getSimulationSettings().getDOESettings().setBool(DOESettings.properties_b.iDRM, true);
commonVars.getSimulationSettings().getDOESettings().setTileList_ColRow(tilesToRun);
commonVars.getSimulationSettings().getDOESettings().setInt(DOESettings.properties_i.uTileList, 1);
commonVars.getSimulationSettings().getDOESettings().setInt(DOESettings.properties_i.sTile, 0);
}
catch (Exception)
{
return(reading);
}
commonVars.getSimulationSettings().getDOESettings().setBool(DOESettings.properties_b.iDRM, true);
commonVars.getSimulationSettings().getDOESettings().setTileList_ColRow(tilesToRun);
commonVars.getSimulationSettings().getDOESettings().setInt(DOESettings.properties_i.uTileList, 1);
commonVars.getSimulationSettings().getDOESettings().setInt(DOESettings.properties_i.sTile, 0);
return(reading);
}