// uses # of analyzers and goes across
Row GenRawSumsRow(CountingResultsMap map)
{
Row row = new Row();
IEnumerator iter = map.GetMultiplicityEnumerator();
int ecount = System.Enum.GetValues(typeof(RawSums)).Length;
int entries = 0, repeat = 0;
while (iter.MoveNext())
{
repeat = (ecount * entries);
//Multiplicity mkey = (Multiplicity)((KeyValuePair<SpecificCountingAnalyzerParams, object>)(iter.Current)).Key; // clean up this syntax, it's silly
MultiplicityCountingRes mcr = (MultiplicityCountingRes)((KeyValuePair<SpecificCountingAnalyzerParams, object>)(iter.Current)).Value;
row.Add((int)RawSums.Singles + repeat, meas.SinglesSum.ToString());
row.Add((int)RawSums.RA + repeat, mcr.RASum.ToString());
row.Add((int)RawSums.A + repeat, mcr.ASum.ToString());
//Detector d = meas.Detectors.GetIt(mkey.sr)
//if (d.Id.SRType <= LMDAQ.InstrType.AMSR)
//{
// //row.Add((int)RawSums.Scaler1, m.Scaler1Sum.ToString());
// //row.Add((int)RawSums.Scaler2, m.Scaler2Sum.ToString());
//}
entries++;
}
return row;
}
// done: uses # of analyzers and goes across
Row[] GenMultDistRows(CountingResultsMap map, int cycle)
{
ulong minbins = 0, maxbins = 0;
IEnumerator iter = map.GetATypedResultEnumerator(typeof(AnalysisDefs.Multiplicity));
while (iter.MoveNext())
{
MultiplicityCountingRes mcr = (MultiplicityCountingRes)iter.Current;
//GetMaxNonZeroLength(mcr.RAMult, mcr.NormedAMult, ref newlen);
minbins = Math.Max(mcr.MinBins, minbins);
maxbins = Math.Max(mcr.MaxBins, maxbins);
//newlen = maxbins;
}
int ecount = cycle < 1 ? System.Enum.GetValues(typeof(DistributionsAndAlphaBeta)).Length : System.Enum.GetValues(typeof(eMultiplicityDistributions)).Length;
Row[] rows = new Row[maxbins];
int repeat = 0;
iter = map.GetMultiplicityEnumerator();
for (ulong i = 0; i < minbins; i++)
{
rows[i] = new Row();
rows[i].Add(0, i.ToString());
}
for (ulong i = minbins; i < maxbins; i++)
{
rows[i] = new Row();
rows[i].Add(0, i.ToString());
}
int step = 0;
while (iter.MoveNext())
{
MultiplicityCountingRes mcr = (MultiplicityCountingRes)((KeyValuePair<SpecificCountingAnalyzerParams, object>)(iter.Current)).Value;
repeat = 1 + (ecount * step);
for (ulong i = 0; i < minbins; i++)
{
double RA, A, alpha, beta;
if ((ulong)mcr.RAMult.Length <= i)
RA = 0;
else
RA = mcr.RAMult[i];
if ((ulong)mcr.NormedAMult.Length <= i)
A = 0;
else
A = mcr.NormedAMult[i];
if ((ulong)mcr.alpha.Length <= i)
alpha = 0;
else
alpha = mcr.alpha[i];
if ((ulong)mcr.beta.Length <= i)
beta = 0;
else
beta = mcr.beta[i];
rows[i].Add((int)DistributionsAndAlphaBeta.RA + repeat, RA.ToString());
rows[i].Add((int)DistributionsAndAlphaBeta.A + repeat, A.ToString());
if (cycle < 1)
{
rows[i].Add((int)DistributionsAndAlphaBeta.Alpha + repeat, alpha.ToString());
rows[i].Add((int)DistributionsAndAlphaBeta.Beta + repeat, beta.ToString());
}
}
for (ulong i = minbins; i < maxbins; i++)
{
double RA, A, alpha, beta;
if ((ulong)mcr.RAMult.Length <= i)
RA = 0;
else
RA = mcr.RAMult[i];
if ((ulong)mcr.NormedAMult.Length <= i)
A = 0;
else
A = mcr.NormedAMult[i];
if ((ulong)mcr.alpha.Length <= i)
alpha = 0;
else
alpha = mcr.alpha[i];
if ((ulong)mcr.beta.Length <= i)
beta = 0;
else
beta = mcr.beta[i];
rows[i].Add((int)DistributionsAndAlphaBeta.RA + repeat, RA.ToString());
rows[i].Add((int)DistributionsAndAlphaBeta.A + repeat, A.ToString());
if (cycle < 1)
{
rows[i].Add((int)DistributionsAndAlphaBeta.Alpha + repeat, alpha.ToString());
rows[i].Add((int)DistributionsAndAlphaBeta.Beta + repeat, beta.ToString());
}
}
step++;
}
return rows;
}