private int OnExecute()
{
InputFile = Path.GetFullPath(InputFile);
if (OutputFile != null)
{
OutputFile = Path.GetFullPath(OutputFile);
OutputFile = FixPathSlashes(OutputFile);
}
if (FileFilter != null)
{
FileFilter = FixPathSlashes(FileFilter);
}
if (ExtFilter != null)
{
ExtFilterList = ExtFilter.Split(',');
}
var paths = new List <string>();
if (Directory.Exists(InputFile))
{
if (OutputFile != null && File.Exists(OutputFile))
{
Console.Error.WriteLine("Output path is an existing file, but input is a folder.");
return(1);
}
IsInputFolder = true;
var dirs = Directory
.EnumerateFiles(InputFile, "*.*", RecursiveSearch ? SearchOption.AllDirectories : SearchOption.TopDirectoryOnly)
.Where(s => s.EndsWith("_c") || s.EndsWith(".vcs"));
if (!dirs.Any())
{
Console.Error.WriteLine(
"Unable to find any \"_c\" compiled files in \"{0}\" folder.{1}",
InputFile,
RecursiveSearch ? " Did you mean to include --recursive parameter?" : string.Empty);
return(1);
}
paths.AddRange(dirs);
}
else if (File.Exists(InputFile))
{
if (RecursiveSearch)
{
Console.Error.WriteLine("File passed in with --recursive option. Either pass in a folder or remove --recursive.");
return(1);
}
paths.Add(InputFile);
}
else
{
Console.Error.WriteLine("Input \"{0}\" is not a file or a folder.", InputFile);
return(1);
}
CurrentFile = 0;
TotalFiles = paths.Count;
if (MaxParallelismThreads > 1)
{
Console.WriteLine("Will use {0} threads concurrently.", MaxParallelismThreads);
var partitioner = Partitioner.Create(paths, EnumerablePartitionerOptions.NoBuffering);
Parallel.ForEach(partitioner, new ParallelOptions {
MaxDegreeOfParallelism = MaxParallelismThreads
}, (path, state) =>
{
ProcessFile(path);
});
}
else
{
foreach (var path in paths)
{
ProcessFile(path);
}
}
if (CollectStats)
{
Console.WriteLine();
Console.WriteLine("Processed resource stats:");
foreach (var stat in stats.OrderByDescending(x => x.Value.Count).ThenBy(x => x.Key))
{
var info = stat.Value.Info != string.Empty ? string.Format(" ({0})", stat.Value.Info) : string.Empty;
Console.WriteLine($"{stat.Value.Count,5} resources of version {stat.Value.Version} and type {stat.Value.Type}{info}");
foreach (var file in stat.Value.FilePaths)
{
Console.WriteLine($"\t\t{file}");
}
}
Console.WriteLine();
Console.WriteLine("Unique special dependancies:");
foreach (var stat in uniqueSpecialDependancies)
{
Console.WriteLine("{0} in {1}", stat.Key, stat.Value);
}
}
return(0);
}
public static void Epsimp_calculate(int NI, int NJ, int NK)
{
int range_parallel = (int)(NI / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2);
range_parallel = Math.Max(30 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NI, range_parallel); // if NI < range_parallel
//computation of the new turbulent kinetic energy
// Parallel.For(2, NI, Program.pOptions, i =>
Parallel.ForEach(Partitioner.Create(2, NI, range_parallel), range =>
{
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
double CMU = Program.CMU;
double CEPSILON1 = Program.CEPSILON1;
double CEPSILON2 = Program.CEPSILON2;
for (int i = range.Item1; i < range.Item2; i++)
{
for (int j = 2; j <= NJ - 1; j++)
{
for (int k = 1; k <= NK - 1; k++)
{
//Production-terms of turbulent kinetic energy
double DUDX = (Program.U[i + 1][j][k] - Program.U[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DVDX = (Program.V[i + 1][j][k] - Program.V[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DWDX = (Program.W[i + 1][j][k] - Program.W[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DUDY = (Program.U[i][j + 1][k] - Program.U[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DVDY = (Program.V[i][j + 1][k] - Program.V[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DWDY = (Program.W[i][j + 1][k] - Program.W[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DUDZ = 0;
double DVDZ = 0;
double DWDZ = 0;
double DTDZ = 0;
if (k > 1)
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]) - 0.00065;
}
else
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]) - 0.00065;
}
//production-terms for the dissipation rate
double PSTRESS = Program.VISV[i][j][k] *
(0.5F * (DUDX * DUDX + DVDY * DVDY + DWDZ * DWDZ) +
(DUDY + DVDX) * (DUDY + DVDX) +
(DUDZ + DWDX) * (DUDZ + DWDX) +
(DVDZ + DWDY) * (DVDZ + DWDY)) * Program.RHO[i][j][k];
double PBUOY = -Program.VISV[i][j][k] * DTDZ * Program.GERD / (Program.T[i][j][k] + Program.TBZ1) / Program.PRTE * Program.RHO[i][j][k];
double DIM = Program.AWEST_PS[i][j][k] * Program.DISSN[i - 1][j][k] + Program.ASOUTH_PS[i][j][k] * Program.DISSN[i][j - 1][k] +
Program.AEAST_PS[i][j][k] * Program.DISSN[i + 1][j][k] + Program.ANORTH_PS[i][j][k] * Program.DISSN[i][j + 1][k] +
Program.AP0_PS[i][j][k] * Program.DISS[i][j][k] +
(Program.DISS[i][j][k] / Math.Max(Math.Abs(Program.TE[i][j][k]), 0.01) * (CEPSILON1 * PSTRESS + 0.4 * PBUOY - CEPSILON2 * Program.DISS[i][j][k] * Program.RHO[i][j][k])) * Program.VOL[i][j][k];
//Recurrence formula
if (k > 1)
{
help = 1 / (Program.A_PS[i][j][k] - Program.C_PS[i][j][k] * PIM[k - 1]);
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = (DIM + Program.C_PS[i][j][k] * QIM[k - 1]) * help;
}
else
{
help = 1 / Program.A_PS[i][j][k];
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new TKE-components
for (int k = NK - 1; k >= 1; k--)
{
help = Program.DISSN[i][j][k];
help += (Program.RELAXT * (PIM[k] * Program.DISSN[i][j][k + 1] + QIM[k] - help));
Program.DISSN[i][j][k] = help;
}
}
}
});
range_parallel = (int)(NI / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2);
range_parallel = Math.Max(30 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NI, range_parallel); // if NI < range_parallel
// Parallel.For(2, NI, Program.pOptions, i1 =>
Parallel.ForEach(Partitioner.Create(2, NI, range_parallel), range =>
{
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int i1 = range.Item1; i1 < range.Item2; i1++)
{
int i = NI - i1 + 1;
for (int j = NJ - 1; j >= 2; j--)
{
for (int k = 1; k <= NK - 1; k++)
{
//Production-terms of turbulent kinetic energy
double DUDX = (Program.U[i + 1][j][k] - Program.U[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DVDX = (Program.V[i + 1][j][k] - Program.V[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DWDX = (Program.W[i + 1][j][k] - Program.W[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DUDY = (Program.U[i][j + 1][k] - Program.U[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DVDY = (Program.V[i][j + 1][k] - Program.V[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DWDY = (Program.W[i][j + 1][k] - Program.W[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DUDZ = 0;
double DVDZ = 0;
double DWDZ = 0;
double DTDZ = 0;
if (k > 1)
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]) - 0.00065;
}
else
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]) - 0.00065;
}
//production-terms for the dissipation rate
double PSTRESS = Program.VISV[i][j][k] *
(0.5F * (DUDX * DUDX + DVDY * DVDY + DWDZ * DWDZ) +
(DUDY + DVDX) * (DUDY + DVDX) +
(DUDZ + DWDX) * (DUDZ + DWDX) +
(DVDZ + DWDY) * (DVDZ + DWDY)) * Program.RHO[i][j][k];
double PBUOY = -Program.VISV[i][j][k] * DTDZ * Program.GERD / (Program.T[i][j][k] + Program.TBZ1) / Program.PRTE * Program.RHO[i][j][k];
double DIM = Program.AWEST_PS[i][j][k] * Program.DISSN[i - 1][j][k] + Program.ASOUTH_PS[i][j][k] * Program.DISSN[i][j - 1][k] +
Program.AEAST_PS[i][j][k] * Program.DISSN[i + 1][j][k] + Program.ANORTH_PS[i][j][k] * Program.DISSN[i][j + 1][k] +
Program.AP0_PS[i][j][k] * Program.DISS[i][j][k] +
(Program.DISS[i][j][k] / Math.Max(Math.Abs(Program.TE[i][j][k]), 0.01) * (CEPSILON1 * PSTRESS + 0.4 * PBUOY - CEPSILON2 * Program.DISS[i][j][k] * Program.RHO[i][j][k])) * Program.VOL[i][j][k];
//Recurrence formula
if (k > 1)
{
help = 1 / (Program.A_PS[i][j][k] - Program.C_PS[i][j][k] * PIM[k - 1]);
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = (DIM + Program.C_PS[i][j][k] * QIM[k - 1]) * help;
}
else
{
help = 1 / Program.A_PS[i][j][k];
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new TKE-components
for (int k = NK - 1; k >= 1; k--)
{
help = Program.DISSN[i][j][k];
help += (Program.RELAXT * (PIM[k] * Program.DISSN[i][j][k + 1] + QIM[k] - help));
Program.DISSN[i][j][k] = help;
}
}
}
});
range_parallel = (int)(NI / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2 + 6);
range_parallel = Math.Max(36 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NI, range_parallel); // if NI < range_parallel
//Parallel.For(2, NI, Program.pOptions, i1 =>
Parallel.ForEach(Partitioner.Create(2, NI, range_parallel), range =>
{
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int i1 = range.Item1; i1 < range.Item2; i1++)
{
int i = NI - i1 + 1;
for (int j = 2; j <= NJ - 1; j++)
{
for (int k = 1; k <= NK - 1; k++)
{
//Production-terms of turbulent kinetic energy
double DUDX = (Program.U[i + 1][j][k] - Program.U[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DVDX = (Program.V[i + 1][j][k] - Program.V[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DWDX = (Program.W[i + 1][j][k] - Program.W[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DUDY = (Program.U[i][j + 1][k] - Program.U[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DVDY = (Program.V[i][j + 1][k] - Program.V[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DWDY = (Program.W[i][j + 1][k] - Program.W[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DUDZ = 0;
double DVDZ = 0;
double DWDZ = 0;
double DTDZ = 0;
if (k > 1)
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]) - 0.00065;
}
else
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]) - 0.00065;
}
//production-terms for the dissipation rate
double PSTRESS = Program.VISV[i][j][k] *
(0.5F * (DUDX * DUDX + DVDY * DVDY + DWDZ * DWDZ) +
(DUDY + DVDX) * (DUDY + DVDX) +
(DUDZ + DWDX) * (DUDZ + DWDX) +
(DVDZ + DWDY) * (DVDZ + DWDY)) * Program.RHO[i][j][k];
double PBUOY = -Program.VISV[i][j][k] * DTDZ * Program.GERD / (Program.T[i][j][k] + Program.TBZ1) / Program.PRTE * Program.RHO[i][j][k];
double DIM = Program.AWEST_PS[i][j][k] * Program.DISSN[i - 1][j][k] + Program.ASOUTH_PS[i][j][k] * Program.DISSN[i][j - 1][k] +
Program.AEAST_PS[i][j][k] * Program.DISSN[i + 1][j][k] + Program.ANORTH_PS[i][j][k] * Program.DISSN[i][j + 1][k] +
Program.AP0_PS[i][j][k] * Program.DISS[i][j][k] +
(Program.DISS[i][j][k] / Math.Max(Math.Abs(Program.TE[i][j][k]), 0.01) * (CEPSILON1 * PSTRESS + 0.4 * PBUOY - CEPSILON2 * Program.DISS[i][j][k] * Program.RHO[i][j][k])) * Program.VOL[i][j][k];
//Recurrence formula
if (k > 1)
{
help = 1 / (Program.A_PS[i][j][k] - Program.C_PS[i][j][k] * PIM[k - 1]);
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = (DIM + Program.C_PS[i][j][k] * QIM[k - 1]) * help;
}
else
{
help = 1 / Program.A_PS[i][j][k];
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new TKE-components
for (int k = NK - 1; k >= 1; k--)
{
help = Program.DISSN[i][j][k];
help += (Program.RELAXT * (PIM[k] * Program.DISSN[i][j][k + 1] + QIM[k] - help));
Program.DISSN[i][j][k] = help;
}
}
}
});
range_parallel = (int)(NI / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2 + 3);
range_parallel = Math.Max(33 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NI, range_parallel); // if NI < range_parallel
//Parallel.For(2, NI, Program.pOptions, i =>
Parallel.ForEach(Partitioner.Create(2, NI, range_parallel), range =>
{
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int i = range.Item1; i < range.Item2; i++)
{
for (int j = NJ - 1; j >= 2; j--)
{
for (int k = 1; k <= NK - 1; k++)
{
//Production-terms of turbulent kinetic energy
double DUDX = (Program.U[i + 1][j][k] - Program.U[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DVDX = (Program.V[i + 1][j][k] - Program.V[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DWDX = (Program.W[i + 1][j][k] - Program.W[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DUDY = (Program.U[i][j + 1][k] - Program.U[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DVDY = (Program.V[i][j + 1][k] - Program.V[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DWDY = (Program.W[i][j + 1][k] - Program.W[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DUDZ = 0;
double DVDZ = 0;
double DWDZ = 0;
double DTDZ = 0;
if (k > 1)
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]) - 0.00065;
}
else
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]) - 0.00065;
}
//production-terms for the dissipation rate
double PSTRESS = Program.VISV[i][j][k] *
(0.5F * (DUDX * DUDX + DVDY * DVDY + DWDZ * DWDZ) +
(DUDY + DVDX) * (DUDY + DVDX) +
(DUDZ + DWDX) * (DUDZ + DWDX) +
(DVDZ + DWDY) * (DVDZ + DWDY)) * Program.RHO[i][j][k];
double PBUOY = -Program.VISV[i][j][k] * DTDZ * Program.GERD / (Program.T[i][j][k] + Program.TBZ1) / Program.PRTE * Program.RHO[i][j][k];
double DIM = Program.AWEST_PS[i][j][k] * Program.DISSN[i - 1][j][k] + Program.ASOUTH_PS[i][j][k] * Program.DISSN[i][j - 1][k] +
Program.AEAST_PS[i][j][k] * Program.DISSN[i + 1][j][k] + Program.ANORTH_PS[i][j][k] * Program.DISSN[i][j + 1][k] +
Program.AP0_PS[i][j][k] * Program.DISS[i][j][k] +
(Program.DISS[i][j][k] / Math.Max(Math.Abs(Program.TE[i][j][k]), 0.01) * (CEPSILON1 * PSTRESS + 0.4 * PBUOY - CEPSILON2 * Program.DISS[i][j][k] * Program.RHO[i][j][k])) * Program.VOL[i][j][k];
//Recurrence formula
if (k > 1)
{
help = 1 / (Program.A_PS[i][j][k] - Program.C_PS[i][j][k] * PIM[k - 1]);
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = (DIM + Program.C_PS[i][j][k] * QIM[k - 1]) * help;
}
else
{
help = 1 / Program.A_PS[i][j][k];
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new TKE-components
for (int k = NK - 1; k >= 1; k--)
{
help = Program.DISSN[i][j][k];
help += (Program.RELAXT * (PIM[k] * Program.DISSN[i][j][k + 1] + QIM[k] - help));
Program.DISSN[i][j][k] = help;
}
}
}
});
range_parallel = (int)(NJ / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2);
range_parallel = Math.Max(30 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NJ, range_parallel); // if NI < range_parallel
//Parallel.For(2, NJ, Program.pOptions, j =>
Parallel.ForEach(Partitioner.Create(2, NJ, range_parallel), range =>
{
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int j = range.Item1; j < range.Item2; j++)
{
for (int i = 2; i <= NI - 1; i++)
{
for (int k = 1; k <= NK - 1; k++)
{
//Production-terms of turbulent kinetic energy
double DUDX = (Program.U[i + 1][j][k] - Program.U[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DVDX = (Program.V[i + 1][j][k] - Program.V[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DWDX = (Program.W[i + 1][j][k] - Program.W[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DUDY = (Program.U[i][j + 1][k] - Program.U[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DVDY = (Program.V[i][j + 1][k] - Program.V[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DWDY = (Program.W[i][j + 1][k] - Program.W[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DUDZ = 0;
double DVDZ = 0;
double DWDZ = 0;
double DTDZ = 0;
if (k > 1)
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]) - 0.00065;
}
else
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]) - 0.00065;
}
//production-terms for the dissipation rate
double PSTRESS = Program.VISV[i][j][k] *
(0.5F * (DUDX * DUDX + DVDY * DVDY + DWDZ * DWDZ) +
(DUDY + DVDX) * (DUDY + DVDX) +
(DUDZ + DWDX) * (DUDZ + DWDX) +
(DVDZ + DWDY) * (DVDZ + DWDY)) * Program.RHO[i][j][k];
double PBUOY = -Program.VISV[i][j][k] * DTDZ * Program.GERD / (Program.T[i][j][k] + Program.TBZ1) / Program.PRTE * Program.RHO[i][j][k];
double DIM = Program.AWEST_PS[i][j][k] * Program.DISSN[i - 1][j][k] + Program.ASOUTH_PS[i][j][k] * Program.DISSN[i][j - 1][k] +
Program.AEAST_PS[i][j][k] * Program.DISSN[i + 1][j][k] + Program.ANORTH_PS[i][j][k] * Program.DISSN[i][j + 1][k] +
Program.AP0_PS[i][j][k] * Program.DISS[i][j][k] +
(Program.DISS[i][j][k] / Math.Max(Math.Abs(Program.TE[i][j][k]), 0.01) * (CEPSILON1 * PSTRESS + 0.4 * PBUOY - CEPSILON2 * Program.DISS[i][j][k] * Program.RHO[i][j][k])) * Program.VOL[i][j][k];
//Recurrence formula
if (k > 1)
{
help = 1 / (Program.A_PS[i][j][k] - Program.C_PS[i][j][k] * PIM[k - 1]);
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = (DIM + Program.C_PS[i][j][k] * QIM[k - 1]) * help;
}
else
{
help = 1 / Program.A_PS[i][j][k];
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new TKE-components
for (int k = NK - 1; k >= 1; k--)
{
help = Program.DISSN[i][j][k];
help += (Program.RELAXT * (PIM[k] * Program.DISSN[i][j][k + 1] + QIM[k] - help));
Program.DISSN[i][j][k] = help;
}
}
}
});
range_parallel = (int)(NJ / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2);
range_parallel = Math.Max(30 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NJ, range_parallel); // if NI < range_parallel
//Parallel.For(2, NJ, Program.pOptions, j1 =>
Parallel.ForEach(Partitioner.Create(2, NJ, range_parallel), range =>
{
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int j1 = range.Item1; j1 < range.Item2; j1++)
{
int j = NJ - j1 + 1;
for (int i = NI - 1; i >= 2; i--)
{
for (int k = 1; k <= NK - 1; k++)
{
//Production-terms of turbulent kinetic energy
double DUDX = (Program.U[i + 1][j][k] - Program.U[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DVDX = (Program.V[i + 1][j][k] - Program.V[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DWDX = (Program.W[i + 1][j][k] - Program.W[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DUDY = (Program.U[i][j + 1][k] - Program.U[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DVDY = (Program.V[i][j + 1][k] - Program.V[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DWDY = (Program.W[i][j + 1][k] - Program.W[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DUDZ = 0;
double DVDZ = 0;
double DWDZ = 0;
double DTDZ = 0;
if (k > 1)
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]) - 0.00065;
}
else
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]) - 0.00065;
}
//production-terms for the dissipation rate
double PSTRESS = Program.VISV[i][j][k] *
(0.5F * (DUDX * DUDX + DVDY * DVDY + DWDZ * DWDZ) +
(DUDY + DVDX) * (DUDY + DVDX) +
(DUDZ + DWDX) * (DUDZ + DWDX) +
(DVDZ + DWDY) * (DVDZ + DWDY)) * Program.RHO[i][j][k];
double PBUOY = -Program.VISV[i][j][k] * DTDZ * Program.GERD / (Program.T[i][j][k] + Program.TBZ1) / Program.PRTE * Program.RHO[i][j][k];
double DIM = Program.AWEST_PS[i][j][k] * Program.DISSN[i - 1][j][k] + Program.ASOUTH_PS[i][j][k] * Program.DISSN[i][j - 1][k] +
Program.AEAST_PS[i][j][k] * Program.DISSN[i + 1][j][k] + Program.ANORTH_PS[i][j][k] * Program.DISSN[i][j + 1][k] +
Program.AP0_PS[i][j][k] * Program.DISS[i][j][k] +
(Program.DISS[i][j][k] / Math.Max(Math.Abs(Program.TE[i][j][k]), 0.01) * (CEPSILON1 * PSTRESS + 0.4 * PBUOY - CEPSILON2 * Program.DISS[i][j][k] * Program.RHO[i][j][k])) * Program.VOL[i][j][k];
//Recurrence formula
if (k > 1)
{
help = 1 / (Program.A_PS[i][j][k] - Program.C_PS[i][j][k] * PIM[k - 1]);
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = (DIM + Program.C_PS[i][j][k] * QIM[k - 1]) * help;
}
else
{
help = 1 / Program.A_PS[i][j][k];
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new TKE-components
for (int k = NK - 1; k >= 1; k--)
{
help = Program.DISSN[i][j][k];
help += (Program.RELAXT * (PIM[k] * Program.DISSN[i][j][k + 1] + QIM[k] - help));
Program.DISSN[i][j][k] = help;
}
}
}
});
range_parallel = (int)(NJ / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2 + 6);
range_parallel = Math.Max(36 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NJ, range_parallel); // if NI < range_parallel
// Parallel.For(2, NJ, Program.pOptions, j =>
Parallel.ForEach(Partitioner.Create(2, NJ, range_parallel), range =>
{
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int j = range.Item1; j < range.Item2; j++)
{
for (int i = NI - 1; i >= 2; i--)
{
for (int k = 1; k <= NK - 1; k++)
{
//Production-terms of turbulent kinetic energy
double DUDX = (Program.U[i + 1][j][k] - Program.U[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DVDX = (Program.V[i + 1][j][k] - Program.V[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DWDX = (Program.W[i + 1][j][k] - Program.W[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DUDY = (Program.U[i][j + 1][k] - Program.U[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DVDY = (Program.V[i][j + 1][k] - Program.V[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DWDY = (Program.W[i][j + 1][k] - Program.W[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DUDZ = 0;
double DVDZ = 0;
double DWDZ = 0;
double DTDZ = 0;
if (k > 1)
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]) - 0.00065;
}
else
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]) - 0.00065;
}
//production-terms for the dissipation rate
double PSTRESS = Program.VISV[i][j][k] *
(0.5F * (DUDX * DUDX + DVDY * DVDY + DWDZ * DWDZ) +
(DUDY + DVDX) * (DUDY + DVDX) +
(DUDZ + DWDX) * (DUDZ + DWDX) +
(DVDZ + DWDY) * (DVDZ + DWDY)) * Program.RHO[i][j][k];
double PBUOY = -Program.VISV[i][j][k] * DTDZ * Program.GERD / (Program.T[i][j][k] + Program.TBZ1) / Program.PRTE * Program.RHO[i][j][k];
double DIM = Program.AWEST_PS[i][j][k] * Program.DISSN[i - 1][j][k] + Program.ASOUTH_PS[i][j][k] * Program.DISSN[i][j - 1][k] +
Program.AEAST_PS[i][j][k] * Program.DISSN[i + 1][j][k] + Program.ANORTH_PS[i][j][k] * Program.DISSN[i][j + 1][k] +
Program.AP0_PS[i][j][k] * Program.DISS[i][j][k] +
(Program.DISS[i][j][k] / Math.Max(Math.Abs(Program.TE[i][j][k]), 0.01) * (CEPSILON1 * PSTRESS + 0.4 * PBUOY - CEPSILON2 * Program.DISS[i][j][k] * Program.RHO[i][j][k])) * Program.VOL[i][j][k];
//Recurrence formula
if (k > 1)
{
help = 1 / (Program.A_PS[i][j][k] - Program.C_PS[i][j][k] * PIM[k - 1]);
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = (DIM + Program.C_PS[i][j][k] * QIM[k - 1]) * help;
}
else
{
help = 1 / Program.A_PS[i][j][k];
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new TKE-components
for (int k = NK - 1; k >= 1; k--)
{
help = Program.DISSN[i][j][k];
help += (Program.RELAXT * (PIM[k] * Program.DISSN[i][j][k + 1] + QIM[k] - help));
Program.DISSN[i][j][k] = help;
}
}
}
});
range_parallel = (int)(NJ / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2 + 3);
range_parallel = Math.Max(33 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NJ, range_parallel); // if NI < range_parallel
//Parallel.For(2, NJ, Program.pOptions, j1 =>
Parallel.ForEach(Partitioner.Create(2, NJ, range_parallel), range =>
{
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int j1 = range.Item1; j1 < range.Item2; j1++)
{
int j = NJ - j1 + 1;
for (int i = 2; i <= NI - 1; i++)
{
for (int k = 1; k <= NK - 1; k++)
{
//Production-terms of turbulent kinetic energy
double DUDX = (Program.U[i + 1][j][k] - Program.U[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DVDX = (Program.V[i + 1][j][k] - Program.V[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DWDX = (Program.W[i + 1][j][k] - Program.W[i - 1][j][k]) / (Program.ZAX[i] + Program.ZAX[i - 1]);
double DUDY = (Program.U[i][j + 1][k] - Program.U[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DVDY = (Program.V[i][j + 1][k] - Program.V[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DWDY = (Program.W[i][j + 1][k] - Program.W[i][j - 1][k]) / (Program.ZAY[j] + Program.ZAY[j - 1]);
double DUDZ = 0;
double DVDZ = 0;
double DWDZ = 0;
double DTDZ = 0;
if (k > 1)
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k - 1]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k - 1]) - 0.00065;
}
else
{
DUDZ = (Program.U[i][j][k + 1] - Program.U[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DVDZ = (Program.V[i][j][k + 1] - Program.V[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DWDZ = (Program.W[i][j][k + 1] - Program.W[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]);
DTDZ = (Program.T[i][j][k + 1] - Program.T[i][j][k]) / (Program.ZSP[i][j][k + 1] + Program.ZSP[i][j][k]) - 0.00065;
}
//production-terms for the dissipation rate
double PSTRESS = Program.VISV[i][j][k] *
(0.5F * (DUDX * DUDX + DVDY * DVDY + DWDZ * DWDZ) +
(DUDY + DVDX) * (DUDY + DVDX) +
(DUDZ + DWDX) * (DUDZ + DWDX) +
(DVDZ + DWDY) * (DVDZ + DWDY)) * Program.RHO[i][j][k];
double PBUOY = -Program.VISV[i][j][k] * DTDZ * Program.GERD / (Program.T[i][j][k] + Program.TBZ1) / Program.PRTE * Program.RHO[i][j][k];
double DIM = Program.AWEST_PS[i][j][k] * Program.DISSN[i - 1][j][k] + Program.ASOUTH_PS[i][j][k] * Program.DISSN[i][j - 1][k] +
Program.AEAST_PS[i][j][k] * Program.DISSN[i + 1][j][k] + Program.ANORTH_PS[i][j][k] * Program.DISSN[i][j + 1][k] +
Program.AP0_PS[i][j][k] * Program.DISS[i][j][k] +
(Program.DISS[i][j][k] / Math.Max(Math.Abs(Program.TE[i][j][k]), 0.01) * (CEPSILON1 * PSTRESS + 0.4 * PBUOY - CEPSILON2 * Program.DISS[i][j][k] * Program.RHO[i][j][k])) * Program.VOL[i][j][k];
//Recurrence formula
if (k > 1)
{
help = 1 / (Program.A_PS[i][j][k] - Program.C_PS[i][j][k] * PIM[k - 1]);
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = (DIM + Program.C_PS[i][j][k] * QIM[k - 1]) * help;
}
else
{
help = 1 / Program.A_PS[i][j][k];
PIM[k] = Program.B_PS[i][j][k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new TKE-components
for (int k = NK - 1; k >= 1; k--)
{
help = Program.DISSN[i][j][k];
help += (Program.RELAXT * (PIM[k] * Program.DISSN[i][j][k + 1] + QIM[k] - help));
Program.DISSN[i][j][k] = help;
}
}
}
});
}
public static void RangePartitionerDynamicChunking(long from, long count, long rangeSize)
{
long to = from + count;
var partitioner = (rangeSize == -1) ? Partitioner.Create(from, to) : Partitioner.Create(from, to, rangeSize);
// Check static partitions
var partitions = partitioner.GetDynamicPartitions();
var partition1 = partitions.GetEnumerator();
var partition2 = partitions.GetEnumerator();
// Initialize the from / to values from the first element
if (!partition1.MoveNext())
{
return;
}
Assert.Equal(from, partition1.Current.Item1);
if (rangeSize == -1)
{
rangeSize = partition1.Current.Item2 - partition1.Current.Item1;
}
long nextExpectedFrom = partition1.Current.Item2;
long nextExpectedTo = (nextExpectedFrom + rangeSize) > to ? to : (nextExpectedFrom + rangeSize);
// Ensure that each partition gets one range only
// we check this by alternating partitions asking for elements and make sure
// that we get ranges in a sequence. If chunking were to happen then we wouldnt see a sequence
long actualCount = partition1.Current.Item2 - partition1.Current.Item1;
while (true)
{
if (!partition1.MoveNext())
{
break;
}
Assert.Equal(nextExpectedFrom, partition1.Current.Item1);
Assert.Equal(nextExpectedTo, partition1.Current.Item2);
nextExpectedFrom = (nextExpectedFrom + rangeSize) > to ? to : (nextExpectedFrom + rangeSize);
nextExpectedTo = (nextExpectedTo + rangeSize) > to ? to : (nextExpectedTo + rangeSize);
actualCount += partition1.Current.Item2 - partition1.Current.Item1;
if (!partition2.MoveNext())
{
break;
}
Assert.Equal(nextExpectedFrom, partition2.Current.Item1);
Assert.Equal(nextExpectedTo, partition2.Current.Item2);
nextExpectedFrom = (nextExpectedFrom + rangeSize) > to ? to : (nextExpectedFrom + rangeSize);
nextExpectedTo = (nextExpectedTo + rangeSize) > to ? to : (nextExpectedTo + rangeSize);
actualCount += partition2.Current.Item2 - partition2.Current.Item1;
if (!partition2.MoveNext())
{
break;
}
Assert.Equal(nextExpectedFrom, partition2.Current.Item1);
Assert.Equal(nextExpectedTo, partition2.Current.Item2);
nextExpectedFrom = (nextExpectedFrom + rangeSize) > to ? to : (nextExpectedFrom + rangeSize);
nextExpectedTo = (nextExpectedTo + rangeSize) > to ? to : (nextExpectedTo + rangeSize);
actualCount += partition2.Current.Item2 - partition2.Current.Item1;
if (!partition1.MoveNext())
{
break;
}
Assert.Equal(nextExpectedFrom, partition1.Current.Item1);
Assert.Equal(nextExpectedTo, partition1.Current.Item2);
nextExpectedFrom = (nextExpectedFrom + rangeSize) > to ? to : (nextExpectedFrom + rangeSize);
nextExpectedTo = (nextExpectedTo + rangeSize) > to ? to : (nextExpectedTo + rangeSize);
actualCount += partition1.Current.Item2 - partition1.Current.Item1;
}
// Verifying that all items are there
Assert.True(count == actualCount, "Must be equal.");
}
public static void RangePartitionerChunking(int from, int count, int rangeSize)
{
int to = from + count;
var partitioner = (rangeSize == -1) ? Partitioner.Create(from, to) : Partitioner.Create(from, to, rangeSize);
// Check static partitions
var partitions = partitioner.GetPartitions(2);
// Initialize the from / to values from the first element
if (!partitions[0].MoveNext())
{
return;
}
Assert.Equal(from, partitions[0].Current.Item1);
if (rangeSize == -1)
{
rangeSize = partitions[0].Current.Item2 - partitions[0].Current.Item1;
}
int nextExpectedFrom = partitions[0].Current.Item2;
int nextExpectedTo = (nextExpectedFrom + rangeSize) > to ? to : (nextExpectedFrom + rangeSize);
// Ensure that each partition gets one range only
// we check this by alternating partitions asking for elements and make sure
// that we get ranges in a sequence. If chunking were to happen then we wouldn't see a sequence
int actualCount = partitions[0].Current.Item2 - partitions[0].Current.Item1;
while (true)
{
if (!partitions[0].MoveNext())
{
break;
}
Assert.Equal(nextExpectedFrom, partitions[0].Current.Item1);
Assert.Equal(nextExpectedTo, partitions[0].Current.Item2);
nextExpectedFrom = (nextExpectedFrom + rangeSize) > to ? to : (nextExpectedFrom + rangeSize);
nextExpectedTo = (nextExpectedTo + rangeSize) > to ? to : (nextExpectedTo + rangeSize);
actualCount += partitions[0].Current.Item2 - partitions[0].Current.Item1;
if (!partitions[1].MoveNext())
{
break;
}
Assert.Equal(nextExpectedFrom, partitions[1].Current.Item1);
Assert.Equal(nextExpectedTo, partitions[1].Current.Item2);
nextExpectedFrom = (nextExpectedFrom + rangeSize) > to ? to : (nextExpectedFrom + rangeSize);
nextExpectedTo = (nextExpectedTo + rangeSize) > to ? to : (nextExpectedTo + rangeSize);
actualCount += partitions[1].Current.Item2 - partitions[1].Current.Item1;
if (!partitions[1].MoveNext())
{
break;
}
Assert.Equal(nextExpectedFrom, partitions[1].Current.Item1);
Assert.Equal(nextExpectedTo, partitions[1].Current.Item2);
nextExpectedFrom = (nextExpectedFrom + rangeSize) > to ? to : (nextExpectedFrom + rangeSize);
nextExpectedTo = (nextExpectedTo + rangeSize) > to ? to : (nextExpectedTo + rangeSize);
actualCount += partitions[1].Current.Item2 - partitions[1].Current.Item1;
if (!partitions[0].MoveNext())
{
break;
}
Assert.Equal(nextExpectedFrom, partitions[0].Current.Item1);
Assert.Equal(nextExpectedTo, partitions[0].Current.Item2);
nextExpectedFrom = (nextExpectedFrom + rangeSize) > to ? to : (nextExpectedFrom + rangeSize);
nextExpectedTo = (nextExpectedTo + rangeSize) > to ? to : (nextExpectedTo + rangeSize);
actualCount += partitions[0].Current.Item2 - partitions[0].Current.Item1;
}
// Verifying that all items are there
Assert.Equal(count, actualCount);
}
/// <summary>
/// Performs a drawing operation from this Layer to a target layer.
/// </summary>
/// <param name="target"></param>
/// <param name="blend"></param>
/// <param name="destX"></param>
/// <param name="destY"></param>
/// <param name="width"></param>
/// <param name="height"></param>
/// <param name="srcX"></param>
/// <param name="srcY"></param>
/// <param name="colorTint"></param>
public void DrawOnto(PixelData target, BlendMode blend, int destX, int destY, int width, int height, int srcX, int srcY, ColorRgba colorTint)
{
if (colorTint == ColorRgba.White)
{
this.DrawOnto(target, blend, destX, destY, width, height, srcX, srcY);
return;
}
if (width == -1) width = this.width;
if (height == -1) height = this.height;
int beginX = MathF.Max(0, -destX, -srcX);
int beginY = MathF.Max(0, -destY, -srcY);
int endX = MathF.Min(width, this.width, target.width - destX, this.width - srcX);
int endY = MathF.Min(height, this.height, target.height - destY, this.height - srcY);
if (endX - beginX < 1) return;
if (endY - beginY < 1) return;
ColorRgba clrSource;
ColorRgba clrTarget;
#if !DISABLE_ASYNC
Parallel.ForEach(Partitioner.Create(beginX, endX), range => {
for (int i = range.Item1; i < range.Item2; i++) {
#else
for (int i = beginX; i < endX; i++) {
#endif
for (int j = beginY; j < endY; j++)
{
int sourceN = srcX + i + this.width * (srcY + j);
int targetN = destX + i + target.width * (destY + j);
clrSource = this.data[sourceN] * colorTint;
if (blend == BlendMode.Solid)
{
target.data[targetN] = clrSource;
}
else if (blend == BlendMode.Mask)
{
if (clrSource.A > 0) target.data[targetN] = this.data[sourceN];
}
else if (blend == BlendMode.Add)
{
clrTarget = target.data[targetN];
float alphaTemp = (float)clrSource.A / 255.0f;
target.data[targetN].R = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrTarget.R + clrSource.R * alphaTemp)));
target.data[targetN].G = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrTarget.G + clrSource.G * alphaTemp)));
target.data[targetN].B = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrTarget.B + clrSource.B * alphaTemp)));
target.data[targetN].A = (byte)Math.Min(255, Math.Max(0, (int)clrTarget.A + (int)clrSource.A));
}
else if (blend == BlendMode.Alpha)
{
clrTarget = target.data[targetN];
float alphaTemp = (float)clrSource.A / 255.0f;
target.data[targetN].R = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrTarget.R * (1.0f - alphaTemp) + clrSource.R * alphaTemp)));
target.data[targetN].G = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrTarget.G * (1.0f - alphaTemp) + clrSource.G * alphaTemp)));
target.data[targetN].B = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrTarget.B * (1.0f - alphaTemp) + clrSource.B * alphaTemp)));
target.data[targetN].A = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrTarget.A * (1.0f - alphaTemp) + clrSource.A)));
}
else if (blend == BlendMode.AlphaPre)
{
clrTarget = target.data[targetN];
float alphaTemp = (float)clrSource.A / 255.0f;
target.data[targetN].R = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrTarget.R * (1.0f - alphaTemp) + clrSource.R)));
target.data[targetN].G = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrTarget.G * (1.0f - alphaTemp) + clrSource.G)));
target.data[targetN].B = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrTarget.B * (1.0f - alphaTemp) + clrSource.B)));
target.data[targetN].A = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrTarget.A * (1.0f - alphaTemp) + clrSource.A)));
}
else if (blend == BlendMode.Multiply)
{
clrTarget = target.data[targetN];
float clrTempR = (float)clrTarget.R / 255.0f;
float clrTempG = (float)clrTarget.G / 255.0f;
float clrTempB = (float)clrTarget.B / 255.0f;
float clrTempA = (float)clrTarget.A / 255.0f;
target.data[targetN].R = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrSource.R * clrTempR)));
target.data[targetN].G = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrSource.G * clrTempG)));
target.data[targetN].B = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrSource.B * clrTempB)));
target.data[targetN].A = (byte)Math.Min(255, Math.Max(0, (int)clrTarget.A + (int)clrSource.A));
}
else if (blend == BlendMode.Light)
{
clrTarget = target.data[targetN];
float clrTempR = (float)clrTarget.R / 255.0f;
float clrTempG = (float)clrTarget.G / 255.0f;
float clrTempB = (float)clrTarget.B / 255.0f;
float clrTempA = (float)clrTarget.A / 255.0f;
target.data[targetN].R = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrSource.R * clrTempR + clrTarget.R)));
target.data[targetN].G = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrSource.G * clrTempG + clrTarget.G)));
target.data[targetN].B = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrSource.B * clrTempB + clrTarget.B)));
target.data[targetN].A = (byte)Math.Min(255, Math.Max(0, (int)clrTarget.A + (int)clrSource.A));
}
else if (blend == BlendMode.Invert)
{
clrTarget = target.data[targetN];
float clrTempR = (float)clrTarget.R / 255.0f;
float clrTempG = (float)clrTarget.G / 255.0f;
float clrTempB = (float)clrTarget.B / 255.0f;
float clrTempA = (float)clrTarget.A / 255.0f;
float clrTempR2 = (float)clrSource.R / 255.0f;
float clrTempG2 = (float)clrSource.G / 255.0f;
float clrTempB2 = (float)clrSource.B / 255.0f;
float clrTempA2 = (float)clrSource.A / 255.0f;
target.data[targetN].R = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrSource.R * (1.0f - clrTempR) + clrTarget.R * (1.0f - clrTempR2))));
target.data[targetN].G = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrSource.G * (1.0f - clrTempG) + clrTarget.G * (1.0f - clrTempG2))));
target.data[targetN].B = (byte)Math.Min(255, Math.Max(0, (int)Math.Round(clrSource.B * (1.0f - clrTempB) + clrTarget.B * (1.0f - clrTempB2))));
target.data[targetN].A = (byte)Math.Min(255, Math.Max(0, (int)(clrTarget.A + clrSource.A)));
}
}
}
#if !DISABLE_ASYNC
});
#endif
}
/// <summary>
/// Generates the user types.
/// </summary>
private void GenerateUserTypes()
{
// Verify that included files exist
if (!string.IsNullOrEmpty(xmlConfig.GeneratedAssemblyName))
{
foreach (var file in includedFiles)
{
if (!File.Exists(file.Path))
{
throw new FileNotFoundException("Included file not found", file.Path);
}
}
}
// Loading modules
Module[] modulesArray = new Module[xmlModules.Length];
logger.Write("Loading modules...");
Parallel.For(0, xmlModules.Length, (i) =>
{
Module module = moduleProvider.Open(xmlModules[i]);
modulesArray[i] = module;
});
Dictionary <Module, XmlModule> modules = new Dictionary <Module, XmlModule>();
for (int i = 0; i < modulesArray.Length; i++)
{
modules.Add(modulesArray[i], xmlModules[i]);
}
logger.WriteLine(" {0}", stopwatch.Elapsed);
// Enumerating symbols
Symbol[][] globalTypesPerModule = new Symbol[xmlModules.Length][];
logger.Write("Enumerating symbols...");
Parallel.For(0, xmlModules.Length, (i) =>
{
XmlModule xmlModule = xmlModules[i];
Module module = modulesArray[i];
string moduleName = xmlModule.Name;
string nameSpace = xmlModule.Namespace;
HashSet <Symbol> symbols = new HashSet <Symbol>();
foreach (var type in typeNames)
{
Symbol[] foundSymbols = module.FindGlobalTypeWildcard(type.NameWildcard);
if (foundSymbols.Length == 0)
{
errorLogger.WriteLine("Symbol not found: {0}", type.Name);
}
else
{
foreach (Symbol symbol in foundSymbols)
{
symbols.Add(symbol);
}
}
if (type.ExportDependentTypes)
{
foreach (Symbol symbol in foundSymbols)
{
symbol.ExtractDependentSymbols(symbols, xmlConfig.Transformations);
}
}
}
if (symbols.Count == 0)
{
foreach (Symbol symbol in module.GetAllTypes())
{
symbols.Add(symbol);
}
}
globalTypesPerModule[i] = symbols.Where(t => t.Tag == CodeTypeTag.Class || t.Tag == CodeTypeTag.Structure || t.Tag == CodeTypeTag.Union || t.Tag == CodeTypeTag.Enum).ToArray();
// Cache global scope
if (generationOptions.HasFlag(UserTypeGenerationFlags.InitializeSymbolCaches))
{
var globalScope = module.GlobalScope;
globalScope.InitializeCache();
}
});
List <Symbol> allSymbols = globalTypesPerModule.SelectMany(ss => ss).ToList();
logger.WriteLine(" {0}", stopwatch.Elapsed);
// Initialize symbol fields and base classes
if (generationOptions.HasFlag(UserTypeGenerationFlags.InitializeSymbolCaches))
{
logger.Write("Initializing symbol values...");
Parallel.ForEach(Partitioner.Create(allSymbols), symbol => symbol.InitializeCache());
logger.WriteLine(" {0}", stopwatch.Elapsed);
}
logger.Write("Deduplicating symbols...");
// Group duplicated symbols
Dictionary <string, List <Symbol> > symbolsByName = new Dictionary <string, List <Symbol> >();
Dictionary <Symbol, List <Symbol> > duplicatedSymbols = new Dictionary <Symbol, List <Symbol> >();
foreach (var symbol in allSymbols)
{
List <Symbol> symbols;
if (!symbolsByName.TryGetValue(symbol.Name, out symbols))
{
symbolsByName.Add(symbol.Name, symbols = new List <Symbol>());
}
bool found = false;
for (int i = 0; i < symbols.Count; i++)
{
Symbol s = symbols[i];
if (s.Size != 0 && symbol.Size != 0 && s.Size != symbol.Size)
{
#if DEBUG
logger.WriteLine("{0}!{1} ({2}) {3}!{4} ({5})", s.Module.Name, s.Name, s.Size, symbol.Module.Name, symbol.Name, symbol.Size);
#endif
continue;
}
if (s.Size == 0 && symbol.Size != 0)
{
List <Symbol> duplicates;
if (!duplicatedSymbols.TryGetValue(s, out duplicates))
{
duplicatedSymbols.Add(s, duplicates = new List <Symbol>());
}
duplicatedSymbols.Remove(s);
duplicates.Add(s);
duplicatedSymbols.Add(symbol, duplicates);
symbols.Remove(s);
symbols.Add(symbol);
}
else
{
List <Symbol> duplicates;
if (!duplicatedSymbols.TryGetValue(s, out duplicates))
{
duplicatedSymbols.Add(s, duplicates = new List <Symbol>());
}
duplicates.Add(symbol);
}
found = true;
break;
}
if (!found)
{
symbols.Add(symbol);
}
}
// Unlink duplicated symbols if two or more are named the same
foreach (var symbols in symbolsByName.Values)
{
if (symbols.Count <= 1)
{
continue;
}
for (int i = 0, n = symbols.Count; i < n; i++)
{
Symbol s = symbols[i];
List <Symbol> duplicates;
if (!duplicatedSymbols.TryGetValue(s, out duplicates))
{
continue;
}
symbols.AddRange(duplicates);
duplicatedSymbols.Remove(s);
}
}
// Extracting deduplicated symbols
Dictionary <string, Symbol[]> deduplicatedSymbols = new Dictionary <string, Symbol[]>();
Dictionary <Symbol, string> symbolNamespaces = new Dictionary <Symbol, string>();
foreach (var symbols in symbolsByName.Values)
{
if (symbols.Count != 1 || modules.Count == 1)
{
foreach (var s in symbols)
{
symbolNamespaces.Add(s, modules[s.Module].Namespace);
}
}
else
{
Symbol symbol = symbols.First();
List <Symbol> duplicates;
if (!duplicatedSymbols.TryGetValue(symbol, out duplicates))
{
duplicates = new List <Symbol>();
}
duplicates.Insert(0, symbol);
deduplicatedSymbols.Add(symbol.Name, duplicates.ToArray());
foreach (var s in duplicates)
{
symbolNamespaces.Add(s, xmlConfig.CommonTypesNamespace);
}
}
}
var globalTypes = symbolsByName.SelectMany(s => s.Value).ToArray();
logger.WriteLine(" {0}", stopwatch.Elapsed);
logger.WriteLine(" Total symbols: {0}", globalTypesPerModule.Sum(gt => gt.Length));
logger.WriteLine(" Unique symbol names: {0}", symbolsByName.Count);
logger.WriteLine(" Dedupedlicated symbols: {0}", globalTypes.Length);
// Initialize GlobalCache with deduplicatedSymbols
GlobalCache.Update(deduplicatedSymbols);
// Collecting types
logger.Write("Collecting types...");
foreach (var module in modules.Keys)
{
userTypes.Add(userTypeFactory.AddSymbol(module.GlobalScope, null, modules[module].Namespace, generationOptions));
}
ConcurrentBag <Symbol> simpleSymbols = new ConcurrentBag <Symbol>();
Dictionary <Tuple <string, string>, List <Symbol> > templateSymbols = new Dictionary <Tuple <string, string>, List <Symbol> >();
Parallel.ForEach(Partitioner.Create(globalTypes), (symbol) =>
{
string symbolName = symbol.Name;
// TODO: Add configurable filter
//
if (symbolName.StartsWith("$") || symbolName.StartsWith("__vc_attributes") || symbolName.Contains("`anonymous-namespace'") || symbolName.Contains("`anonymous namespace'") || symbolName.Contains("::$") || symbolName.Contains("`"))
{
return;
}
// Do not handle template referenced arguments
if (symbolName.Contains("&"))
{
// TODO: Convert this to function pointer
return;
}
// TODO: For now remove all unnamed-type symbols
string scopedClassName = symbol.Namespaces.Last();
if (scopedClassName.StartsWith("<") || symbolName.Contains("::<"))
{
return;
}
// Check if symbol contains template type.
if ((symbol.Tag == CodeTypeTag.Class || symbol.Tag == CodeTypeTag.Structure || symbol.Tag == CodeTypeTag.Union) && SymbolNameHelper.ContainsTemplateType(symbolName))
{
List <string> namespaces = symbol.Namespaces;
string className = namespaces.Last();
var symbolId = Tuple.Create(symbolNamespaces[symbol], SymbolNameHelper.CreateLookupNameForSymbol(symbol));
lock (templateSymbols)
{
if (!templateSymbols.ContainsKey(symbolId))
{
templateSymbols[symbolId] = new List <Symbol>()
{
symbol
}
}
;
else
{
templateSymbols[symbolId].Add(symbol);
}
}
// TODO:
// Do not add physical types for template specialization (not now)
// do if types contains static fields
// nested in templates
}
else
{
simpleSymbols.Add(symbol);
}
});
logger.WriteLine(" {0}", stopwatch.Elapsed);
// Populate Templates
logger.Write("Populating templates...");
foreach (List <Symbol> symbols in templateSymbols.Values)
{
Symbol symbol = symbols.First();
userTypes.AddRange(userTypeFactory.AddTemplateSymbols(symbols, symbolNamespaces[symbol], generationOptions));
}
logger.WriteLine(" {0}", stopwatch.Elapsed);
// Specialized class
logger.Write("Populating specialized classes...");
foreach (Symbol symbol in simpleSymbols)
{
userTypes.Add(userTypeFactory.AddSymbol(symbol, null, symbolNamespaces[symbol], generationOptions));
}
logger.WriteLine(" {0}", stopwatch.Elapsed);
// To solve template dependencies. Update specialization arguments once all the templates has been populated.
logger.Write("Updating template arguments...");
foreach (TemplateUserType templateUserType in userTypes.OfType <TemplateUserType>())
{
foreach (SpecializedTemplateUserType specializedTemplateUserType in templateUserType.Specializations)
{
if (!specializedTemplateUserType.UpdateTemplateArguments(userTypeFactory))
{
#if DEBUG
logger.WriteLine("Template user type cannot be updated: {0}", specializedTemplateUserType.Symbol.Name);
#endif
}
}
}
logger.WriteLine(" {0}", stopwatch.Elapsed);
// Post processing user types (filling DeclaredInType)
logger.Write("Post processing user types...");
var namespaceTypes = userTypeFactory.ProcessTypes(userTypes, symbolNamespaces, xmlConfig.CommonTypesNamespace ?? modules.First().Key.Namespace).ToArray();
userTypes.AddRange(namespaceTypes);
logger.WriteLine(" {0}", stopwatch.Elapsed);
}
static void Main()
{
// Source must be array or IList.
var source = Enumerable.Range(0, 100000).ToArray();
double[] results = new double[source.Length];
Console.WriteLine("Enter default partitioner code");
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
Parallel.ForEach(source, // source collection
(j, loop) => // method invoked by the loop on each iteration
{
results[j] = source[j] * Math.PI;
}
// Method to be executed when each partition has completed.
// finalResult is the final value of subtotal for a particular partition.
);
stopwatch.Stop();
Console.Error.WriteLine("Default partitioner loop time in milliseconds: {0}",
stopwatch.ElapsedMilliseconds);
// Partition the entire source array.
var rangePartitioner = Partitioner.Create(0, source.Length);
Console.WriteLine("Enter partitioner code");
stopwatch.Reset();
stopwatch.Start();
// Loop over the partitions in parallel.
Parallel.ForEach(rangePartitioner, (range, loopState) =>
{
// Loop over each range element without a delegate invocation.
for (int i = range.Item1; i < range.Item2; i++)
{
results[i] = source[i] * Math.PI;
}
});
stopwatch.Stop();
Console.Error.WriteLine("Partitioner loop time in milliseconds: {0}",
stopwatch.ElapsedMilliseconds);
// Partition the entire source array.
int size = source.Length / 10;
var chunkPartitioner = Partitioner.Create(0, source.Length, size);
Console.WriteLine("Enter defined chunk partitioner code");
stopwatch.Reset();
stopwatch.Start();
// Loop over the partitions in parallel.
Parallel.ForEach(chunkPartitioner, (range, loopState) =>
{
// Loop over each range element without a delegate invocation.
for (int i = range.Item1; i < range.Item2; i++)
{
results[i] = source[i] * Math.PI;
}
});
stopwatch.Stop();
Console.Error.WriteLine("Defined Chunk Partitioner loop time in milliseconds: {0}",
stopwatch.ElapsedMilliseconds);
Console.ReadKey();
}
public static void Main(string[] args)
{
Cons.WriteLine($"Start the LINQ Stuff.....{args?[0]}");
var champs = Formula1.GetChampions();
var q1 = from r in Formula1.GetChampions() where r.Country == "UK" orderby r.Wins descending select r;
foreach (Racer r in q1)
{
Cons.WriteLine($"{r:A}");
}
//Extension Method! Just another way to get at static classes!
var s = "All";
s.Boots();
//Q1 using extensions methods to for show...
var champs2 = new List <Racer>(Formula1.GetChampions());
IEnumerable <Racer> Brits = champs2.Where(c => c.Country == "UK").OrderBy(o => o.LastName)
.Select(r => r);
DeferredDemo.DeferredEx1();
//LINQ query examples
var wins10plus = from r in champs2 where r.Wins >= 10 select r;
var wins10Plus2 = Formula1.GetChampions().Where(r => r.Wins >= 10).Select(r => r).ToList();
//Example where one can't use LINQ and have to use the extension method.
var r1 = champs2.Where((r, Index) => r.LastName.StartsWith("A") || Index % 2 != 0);
//Type Filtering
object[] data = { "One", 1, 2, 3, 4, "Five", "Six" };
var int1 = data.OfType <int>().OrderBy(n => n);
foreach (var i in int1.Reverse())
{
Cons.WriteLine($"{i}");
}
//Compound froms
var ferrariDrives = from r in Formula1.GetChampions()
from c in r.Cars
where c == "Ferrari"
select r.LastName + " " + r.LastName + " => " + c;
var Drives1950s = from r in Formula1.GetChampions()
from y in r.Years
where y >= 1950 && y <= 1959
orderby y
select r.LastName + " " + r.LastName + " => " + y;
//Using Exstensions
var Drivers1960s = Formula1.GetChampions().SelectMany(r => r.Years, (r, y) => new { Racer = r, Year = y })
.Where(r => r.Year >= 1960 && r.Year <= 1969).OrderBy(r => r.Year).Select(r =>
r.Racer.LastName + " " + r.Racer.FirstName + " " + r.Year);
//OrderBy and Take...
var oRacers = (from r in Formula1.GetChampions() orderby r.Country, r.LastName, r.FirstName descending select r).Take(10);
//And With Exrensions
oRacers = Formula1.GetChampions().OrderBy(r => r.Wins).ThenBy(r => r.LastName)
.ThenByDescending(r => r.FirstName).Take(10);
//Now some grouping
var gRacers = from r in Formula1.GetChampions()
group r by r.Country
into c
orderby c.Key
select c;
var gRacers2 = from r in Formula1.GetChampions()
group r by r.Country
into c
orderby c.Key, c.Count() descending
where c.Count() >= 2
select new { Country = c.Key, Count = c.Count() };
//Grouping with Nested Objects basicaly c from gRacers
var gRacers3 = from r in Formula1.GetChampions()
group r by r.Country
into c
orderby c.Key, c.Count() descending
where c.Count() >= 2
select new { Country = c.Key, Count = c.Count(), Racers = from r2 in c orderby r2.Wins select new { r2.LastName, r2.Wins } };
//Inner Joins
var ijRacers = from r in Formula1.GetChampions()
from y in r.Years
select new { Year = y, Name = r.LastName + ", " + r.FirstName };
var ijTeams = from t in F1_Teams.GetConstructorChampions()
from y in t.Years
select new { Year = y, Name = t.Name };
var ijRacerAndTeam =
(from r in ijRacers
join t in ijTeams on r.Year equals t.Year
orderby r.Year
select new { r.Year, Champion = r.Name, Constructor = t.Name }
).Take(10);
var loRacerAndTeam =
(from r in ijRacers
join t in ijTeams on r.Year equals t.Year into rt
from a in rt.DefaultIfEmpty()
orderby r.Year
select new { r.Year, Champion = r.Name, Constructor = a == null ? "Not One": a.Name }
).Take(10);
//Group Join Step 1 flattern!
var gjRacers = Formula1.GetChampionships().SelectMany(c => new List <RacerInfo>()
{
new RacerInfo
{
Year = c.Year,
Position = 1,
FirstName = c.Champion.FirstName(),
LastName = c.Champion.LastName()
},
new RacerInfo
{
Year = c.Year,
Position = 2,
FirstName = c.Second.FirstName(),
LastName = c.Second.LastName()
},
new RacerInfo
{
Year = c.Year,
Position = 3,
FirstName = c.Third.FirstName(),
LastName = c.Third.LastName()
}
}).ToArray();
//Step 2 Join
var q = (from r in Formula1.GetChampions()
join ts in gjRacers on new { FirstName = r.FirstName, LastName = r.LastName } equals new
{
FirstName = ts.FirstName,
LastName = ts.LastName
} into yrResults
select new
{
FirstName = r.FirstName,
LastName = r.LastName,
Wins = r.Wins,
Starts = r.Starts,
Results = yrResults
}
).ToArray();
//Using Set Operators
//Using a static method
var ferrariDrivers = GetDrives("Ferrari");
var mcLarebDrivers = GetDrives("McLaren");
//Better way to use delegates!
Func <string, IEnumerable <Racer> > racersByCar =
car => from r in Formula1.GetChampions() from c in r.Cars where c == car orderby r.LastName select r;
foreach (var r in racersByCar("Ferrari").Intersect(racersByCar("McLaren")))
{
Cons.WriteLine(r.LastName);
}
//Zip method!
var rNames = from r in Formula1.GetChampions()
where r.Country == "Italy"
orderby r.Wins descending
select new { Name = r.FirstName + "," + r.LastName };
var rNameStarts = from r in Formula1.GetChampions()
where r.Country == "Italy"
orderby r.Wins descending
select new { LastName = r.LastName, Starts = r.Starts };
var zRacers = rNames.Zip(rNameStarts, (a, b) => a.Name + ", Starts: " + b.Starts);
foreach (var a in zRacers)
{
Cons.WriteLine(a.ToString());
}
//Why the selections and order are so important!
rNameStarts = from r in Formula1.GetChampions()
where r.Country == "UK"
orderby r.Wins
select new { LastName = r.LastName, Starts = r.Starts };
zRacers = rNames.Zip(rNameStarts, (a, b) => a.Name + ", Starts: " + b.Starts);
foreach (var a in zRacers)
{
Cons.WriteLine(a.ToString());
}
//Complete crap lol
//Partitioning
int pSize = 20;
int nPages = (int)Math.Ceiling(Formula1.GetChampions().Count / (double)pSize);
for (int p = 0; p < nPages; p++)
{
Cons.WriteLine($"Page {p+1} of {nPages}:");
var pR = (from r in Formula1.GetChampions()
orderby r.LastName, r.FirstName
select r.LastName + ", " + r.FirstName).Skip(p * pSize).Take(pSize);
foreach (var r in pR)
{
Cons.WriteLine(r);
}
Cons.ReadKey();
}
//Aggregate Operators Count, Sum, Min, Max, Average and Aggregate return single values.
//Count
var aQ1 = from r in Formula1.GetChampions()
let nYears = r.Years.Count()
orderby nYears descending, r.LastName, r.FirstName
select new { Name = r.LastName, Initials = r.FirstName.Initials(), Years = nYears };
foreach (var r in aQ1)
{
Cons.WriteLine($"{r.Name}, {r.Initials} Wins = {r.Years}");
}
//Sum
var t1 = from c in
from r in Formula1.GetChampions()
group r by r.Country
select new { Key1 = c.Key };
var aS1 = (from c in
from r in Formula1.GetChampions()
group r by r.Country into c
select new { Country = c.Key, Wins = (from r2 in c select r2.Wins).Sum() }
orderby c.Wins descending, c.Country select c).Take(5);
//Conversion Operators
var lRacers = (from r in Formula1.GetChampions()
from c in r.Cars
select new { Car = c, Racer = r }
).ToLookup(cr => cr.Car, cr => cr.Racer);
var lr = lRacers["Williams"]; //Gives us a lookup of just Williams drives
//Using the Cast method!
var oList = new System.Collections.ArrayList(Formula1.GetChampions() as System.Collections.ICollection ?? throw new InvalidOperationException());
var q2 = from r in oList.Cast <Racer>() where r.Country == "USA" select r;
//Not sure what this is doing but it must be good!!!!
//Generation Operators
var vRange = Enumerable.Range(1, 20);
var vRange2 = Enumerable.Range(1, 20).Select(i => i > 1? (i > 2? i * 2: i): i);
//Parallel LINQ
Cons.WriteLine($"Loading large dataset, please wait.");
var lsData = LargeSample().ToList();
var watch = new Stopwatch();
watch.Start();
var pRes = (from x in lsData.AsParallel() where Math.Log(x) < 4 select x
).Average();
watch.Stop();
Cons.WriteLine($"Parallel run: {watch.Elapsed}");
watch.Reset();
watch.Start();
var nRes = (from x in lsData where Math.Log(x) < 4 select x
).Average();
watch.Stop();
Cons.WriteLine($"Normal run: {watch.Elapsed}");
watch.Reset();
watch.Start();
var mpRes = lsData.AsParallel().Where(x => Math.Log(x) < 4).Select(x => x).Average();
watch.Stop();
Cons.WriteLine($"Working Average with Parallel run: {watch.Elapsed}");
//Parallel LINQ
//Partitions
watch.Reset();
watch.Start();
var ppRes = (from x in Partitioner.Create(lsData, true).AsParallel().WithDegreeOfParallelism(4)
where Math.Log(x) < 4
select x
).Average();
watch.Stop();
Cons.WriteLine($"Average with Degree of Parallelism set to 4: {watch.Elapsed}");
watch.Reset();
watch.Start();
var ppRes2 = (from x in Partitioner.Create(lsData, true).AsParallel().WithDegreeOfParallelism(8)
where Math.Log(x) < 4
select x
).Average();
watch.Stop();
Cons.WriteLine($"Avergare Degree of Parallelism set to 8: {watch.Elapsed}");
watch.Reset();
watch.Start();
//Partitions
// Candellations and how to do it....
var cts = new CancellationTokenSource(); //From using System.Threading;
Task.Factory.StartNew(() =>
{
try
{
Cons.WriteLine();
Cons.WriteLine("Cancellable Query Started!");
var cRes = (from x in lsData.AsParallel().WithCancellation(cts.Token)
where Math.Log(x) < 4
select x).Average();
Cons.WriteLine($"Query not cancelled result: {cRes}");
}
catch (OperationCanceledException cex)
{
Cons.WriteLine();
Cons.Write($"Cancell message, {cex.Message}");
}
});
Cons.WriteLine("Cancell Query!");
cts.Cancel();
//Cons.Write($"Cancel ?");
//string input = Cons.ReadLine();
//if (input.ToLower().Equals("y"))
// cts.Cancel();
// Candellations and how to do it....
//Expression Trees
//Expression Trees
Cons.Write($"Press anykey to finish and close.");
Cons.ReadKey();
}
/// <summary>
/// Selects an item (such as Max or Min).
/// </summary>
/// <param name="fromInclusive">Starting index of the loop.</param>
/// <param name="toExclusive">Ending index of the loop</param>
/// <param name="select">The function to select items over a subset.</param>
/// <param name="reduce">The function to select the item of selection from the subsets.</param>
/// <returns>The selected value.</returns>
public static T Aggregate <T>(int fromInclusive, int toExclusive, Func <int, T> select, Func <T[], T> reduce)
{
if (select == null)
{
throw new ArgumentNullException(nameof(select));
}
if (reduce == null)
{
throw new ArgumentNullException(nameof(reduce));
}
// Special case: no action
if (fromInclusive >= toExclusive)
{
return(reduce(Array.Empty <T>()));
}
// Special case: single action, inline
if (fromInclusive == (toExclusive - 1))
{
return(reduce(new[] { select(fromInclusive) }));
}
// Special case: straight execution without parallelism
if (Control.MaxDegreeOfParallelism < 2)
{
var mapped = new T[toExclusive - fromInclusive];
for (int k = 0; k < mapped.Length; k++)
{
mapped[k] = select(k + fromInclusive);
}
return(reduce(mapped));
}
// Common case
var intermediateResults = new List <T>();
var syncLock = new object();
Parallel.ForEach(
Partitioner.Create(fromInclusive, toExclusive),
CreateParallelOptions(),
() => new List <T>(),
(range, _, localData) =>
{
var mapped = new T[range.Item2 - range.Item1];
for (int k = 0; k < mapped.Length; k++)
{
mapped[k] = select(k + range.Item1);
}
localData.Add(reduce(mapped));
return(localData);
},
localResult =>
{
lock (syncLock)
{
intermediateResults.Add(reduce(localResult.ToArray()));
}
});
return(reduce(intermediateResults.ToArray()));
}
public static void WatVap_calculate(int NI, int NJ, int NK)
{
//computation of temperature change due to latent heat
int range_parallel = (int)(NI / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2);
range_parallel = Math.Max(30 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NI, range_parallel); // if NI < range_parallel
//computation of the new specific humidity
//Parallel.For(2, NI, Program.pOptions, i =>
Parallel.ForEach(Partitioner.Create(2, NI, range_parallel), range =>
{
for (int i = range.Item1; i < range.Item2; i++)
{
for (int j = 2; j <= NJ - 1; j++)
{
double[] WAT_VAPN_L = Program.WAT_VAPN[i][j];
double[] WAT_VAP_L = Program.WAT_VAP[i][j];
double[] TABS_L = Program.TABS[i][j];
double[] QUN_L = Program.QUN[i][j];
double[] TN_L = Program.TN[i][j];
float[] FACTOR_L = Program.FACTOR[i][j];
double WAT_VAP_integral = 0.0;
for (int k = 1; k < NK; k++)
{
//saturation vapour pressure - Magnus formulae
double EGSAT = 611.2 * Math.Exp(17.269 * (TABS_L[k] - 273.16) / (TABS_L[k] - 30.04));
//maximum water vapour content possible -> assuming condensation above 80% relative humidity
double QGSAT = EGSAT / 461.5 / TABS_L[k];
//change in temperature
if (QUN_L[k] > QGSAT * 1000.0)
{
//condensation
double WATVAP_COND = (QUN_L[k] - QGSAT * 1000.0);
TN_L[k] += WATVAP_COND * 2.5 * FACTOR_L[k];
WAT_VAP_L[k] += WATVAP_COND;
QUN_L[k] -= WATVAP_COND;
}
else
{
//evaporation
double WATVAP_EVA = Math.Min(WAT_VAP_L[k], QGSAT * 1000.0 - QUN_L[k]);
TN_L[k] -= WATVAP_EVA * 2.5 * FACTOR_L[k];
WAT_VAP_L[k] -= WATVAP_EVA;
WAT_VAP_L[k] = Math.Max(WAT_VAP_L[k], 0.0);
QUN_L[k] += WATVAP_EVA;
}
WAT_VAP_integral += WAT_VAP_L[k];
}
//Program.CLOUDS[i][j] = 0;
if (WAT_VAP_integral > 1.0)
{
//Program.CLOUDS[i][j] = 1;
}
}
}
});
range_parallel = (int)(NI / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2);
range_parallel = Math.Max(30 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NI, range_parallel); // if NI < range_parallel
//computation of the new specific humidity
//Parallel.For(2, NI, Program.pOptions, i =>
Parallel.ForEach(Partitioner.Create(2, NI, range_parallel), range =>
{
double DIM;
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int i = range.Item1; i < range.Item2; i++)
{
for (int j = 2; j <= NJ - 1; j++)
{
float[] AWEST_PS_L = Program.AWEST_PS[i][j];
float[] ASOUTH_PS_L = Program.ASOUTH_PS[i][j];
float[] AEAST_PS_L = Program.AEAST_PS[i][j];
float[] ANORTH_PS_L = Program.ANORTH_PS[i][j];
float[] AP0_PS_L = Program.AP0_PS[i][j];
double[] A_PS_L = Program.A_PS[i][j];
double[] B_PS_L = Program.B_PS[i][j];
double[] C_PS_L = Program.C_PS[i][j];
double[] WAT_VAPN_L = Program.WAT_VAPN[i][j];
double[] WAT_VAP_L = Program.WAT_VAP[i][j];
for (int k = 1; k <= NK - 1; k++)
{
DIM = AWEST_PS_L[k] * Program.WAT_VAPN[i - 1][j][k] + ASOUTH_PS_L[k] * Program.WAT_VAPN[i][j - 1][k] +
AEAST_PS_L[k] * Program.WAT_VAPN[i + 1][j][k] + ANORTH_PS_L[k] * Program.WAT_VAPN[i][j + 1][k] +
AP0_PS_L[k] * WAT_VAP_L[k];
//Recurrence formula
if (k > 1)
{
help = 1 / (A_PS_L[k] - C_PS_L[k] * PIM[k - 1]);
PIM[k] = B_PS_L[k] * help;
QIM[k] = (DIM + C_PS_L[k] * QIM[k - 1]) * help;
}
else
{
help = 1 / A_PS_L[k];
PIM[k] = B_PS_L[k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new Water vapour-components
for (int k = NK - 1; k >= 1; k--)
{
help = WAT_VAPN_L[k];
help += (Program.RELAXT * (PIM[k] * WAT_VAPN_L[k + 1] + QIM[k] - help));
WAT_VAPN_L[k] = help;
}
}
}
});
range_parallel = (int)(NI / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2);
range_parallel = Math.Max(30 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NI, range_parallel); // if NI < range_parallel
//Parallel.For(2, NI, Program.pOptions, i1 =>
Parallel.ForEach(Partitioner.Create(2, NI, range_parallel), range =>
{
double DIM;
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int i1 = range.Item1; i1 < range.Item2; i1++)
{
int i = NI - i1 + 1;
for (int j = NJ - 1; j >= 2; j--)
{
float[] AWEST_PS_L = Program.AWEST_PS[i][j];
float[] ASOUTH_PS_L = Program.ASOUTH_PS[i][j];
float[] AEAST_PS_L = Program.AEAST_PS[i][j];
float[] ANORTH_PS_L = Program.ANORTH_PS[i][j];
float[] AP0_PS_L = Program.AP0_PS[i][j];
double[] A_PS_L = Program.A_PS[i][j];
double[] B_PS_L = Program.B_PS[i][j];
double[] C_PS_L = Program.C_PS[i][j];
double[] WAT_VAPN_L = Program.WAT_VAPN[i][j];
double[] WAT_VAP_L = Program.WAT_VAP[i][j];
for (int k = 1; k <= NK - 1; k++)
{
DIM = AWEST_PS_L[k] * Program.WAT_VAPN[i - 1][j][k] + ASOUTH_PS_L[k] * Program.WAT_VAPN[i][j - 1][k] +
AEAST_PS_L[k] * Program.WAT_VAPN[i + 1][j][k] + ANORTH_PS_L[k] * Program.WAT_VAPN[i][j + 1][k] +
AP0_PS_L[k] * WAT_VAP_L[k];
//Recurrence formula
if (k > 1)
{
help = 1 / (A_PS_L[k] - C_PS_L[k] * PIM[k - 1]);
PIM[k] = B_PS_L[k] * help;
QIM[k] = (DIM + C_PS_L[k] * QIM[k - 1]) * help;
}
else
{
help = 1 / A_PS_L[k];
PIM[k] = B_PS_L[k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new Water vapour-components
for (int k = NK - 1; k >= 1; k--)
{
help = WAT_VAPN_L[k];
help += (Program.RELAXT * (PIM[k] * WAT_VAPN_L[k + 1] + QIM[k] - help));
WAT_VAPN_L[k] = help;
}
}
}
});
range_parallel = (int)(NI / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2 + 6);
range_parallel = Math.Max(36 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NI, range_parallel); // if NI < range_parallel
//Parallel.For(2, NI, Program.pOptions, i1 =>
Parallel.ForEach(Partitioner.Create(2, NI, range_parallel), range =>
{
double DIM;
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int i1 = range.Item1; i1 < range.Item2; i1++)
{
int i = NI - i1 + 1;
for (int j = 2; j <= NJ - 1; j++)
{
float[] AWEST_PS_L = Program.AWEST_PS[i][j];
float[] ASOUTH_PS_L = Program.ASOUTH_PS[i][j];
float[] AEAST_PS_L = Program.AEAST_PS[i][j];
float[] ANORTH_PS_L = Program.ANORTH_PS[i][j];
float[] AP0_PS_L = Program.AP0_PS[i][j];
double[] A_PS_L = Program.A_PS[i][j];
double[] B_PS_L = Program.B_PS[i][j];
double[] C_PS_L = Program.C_PS[i][j];
double[] WAT_VAPN_L = Program.WAT_VAPN[i][j];
double[] WAT_VAP_L = Program.WAT_VAP[i][j];
for (int k = 1; k <= NK - 1; k++)
{
DIM = AWEST_PS_L[k] * Program.WAT_VAPN[i - 1][j][k] + ASOUTH_PS_L[k] * Program.WAT_VAPN[i][j - 1][k] +
AEAST_PS_L[k] * Program.WAT_VAPN[i + 1][j][k] + ANORTH_PS_L[k] * Program.WAT_VAPN[i][j + 1][k] +
AP0_PS_L[k] * WAT_VAP_L[k];
//Recurrence formula
if (k > 1)
{
help = 1 / (A_PS_L[k] - C_PS_L[k] * PIM[k - 1]);
PIM[k] = B_PS_L[k] * help;
QIM[k] = (DIM + C_PS_L[k] * QIM[k - 1]) * help;
}
else
{
help = 1 / A_PS_L[k];
PIM[k] = B_PS_L[k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new Water vapour-components
for (int k = NK - 1; k >= 1; k--)
{
help = WAT_VAPN_L[k];
help += (Program.RELAXT * (PIM[k] * WAT_VAPN_L[k + 1] + QIM[k] - help));
WAT_VAPN_L[k] = help;
}
}
}
});
range_parallel = (int)(NI / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2 + 3);
range_parallel = Math.Max(33 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NI, range_parallel); // if NI < range_parallel
//Parallel.For(2, NI, Program.pOptions, i =>
Parallel.ForEach(Partitioner.Create(2, NI, range_parallel), range =>
{
double DIM;
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int i = range.Item1; i < range.Item2; i++)
{
for (int j = NJ - 1; j >= 2; j--)
{
float[] AWEST_PS_L = Program.AWEST_PS[i][j];
float[] ASOUTH_PS_L = Program.ASOUTH_PS[i][j];
float[] AEAST_PS_L = Program.AEAST_PS[i][j];
float[] ANORTH_PS_L = Program.ANORTH_PS[i][j];
float[] AP0_PS_L = Program.AP0_PS[i][j];
double[] A_PS_L = Program.A_PS[i][j];
double[] B_PS_L = Program.B_PS[i][j];
double[] C_PS_L = Program.C_PS[i][j];
double[] WAT_VAPN_L = Program.WAT_VAPN[i][j];
double[] WAT_VAP_L = Program.WAT_VAP[i][j];
for (int k = 1; k <= NK - 1; k++)
{
DIM = AWEST_PS_L[k] * Program.WAT_VAPN[i - 1][j][k] + ASOUTH_PS_L[k] * Program.WAT_VAPN[i][j - 1][k] +
AEAST_PS_L[k] * Program.WAT_VAPN[i + 1][j][k] + ANORTH_PS_L[k] * Program.WAT_VAPN[i][j + 1][k] +
AP0_PS_L[k] * WAT_VAP_L[k];
//Recurrence formula
if (k > 1)
{
help = 1 / (A_PS_L[k] - C_PS_L[k] * PIM[k - 1]);
PIM[k] = B_PS_L[k] * help;
QIM[k] = (DIM + C_PS_L[k] * QIM[k - 1]) * help;
}
else
{
help = 1 / A_PS_L[k];
PIM[k] = B_PS_L[k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new Water vapour-components
for (int k = NK - 1; k >= 1; k--)
{
help = WAT_VAPN_L[k];
help += (Program.RELAXT * (PIM[k] * WAT_VAPN_L[k + 1] + QIM[k] - help));
WAT_VAPN_L[k] = help;
}
}
}
});
range_parallel = (int)(NJ / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2);
range_parallel = Math.Max(30 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NJ, range_parallel); // if NI < range_parallel
//Parallel.For(2, NJ, Program.pOptions, j =>
Parallel.ForEach(Partitioner.Create(2, NJ, range_parallel), range =>
{
double DIM;
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int j = range.Item1; j < range.Item2; j++)
{
for (int i = 2; i <= NI - 1; i++)
{
float[] AWEST_PS_L = Program.AWEST_PS[i][j];
float[] ASOUTH_PS_L = Program.ASOUTH_PS[i][j];
float[] AEAST_PS_L = Program.AEAST_PS[i][j];
float[] ANORTH_PS_L = Program.ANORTH_PS[i][j];
float[] AP0_PS_L = Program.AP0_PS[i][j];
double[] A_PS_L = Program.A_PS[i][j];
double[] B_PS_L = Program.B_PS[i][j];
double[] C_PS_L = Program.C_PS[i][j];
double[] WAT_VAPN_L = Program.WAT_VAPN[i][j];
double[] WAT_VAP_L = Program.WAT_VAP[i][j];
for (int k = 1; k <= NK - 1; k++)
{
DIM = AWEST_PS_L[k] * Program.WAT_VAPN[i - 1][j][k] + ASOUTH_PS_L[k] * Program.WAT_VAPN[i][j - 1][k] +
AEAST_PS_L[k] * Program.WAT_VAPN[i + 1][j][k] + ANORTH_PS_L[k] * Program.WAT_VAPN[i][j + 1][k] +
AP0_PS_L[k] * WAT_VAP_L[k];
//Recurrence formula
if (k > 1)
{
help = 1 / (A_PS_L[k] - C_PS_L[k] * PIM[k - 1]);
PIM[k] = B_PS_L[k] * help;
QIM[k] = (DIM + C_PS_L[k] * QIM[k - 1]) * help;
}
else
{
help = 1 / A_PS_L[k];
PIM[k] = B_PS_L[k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new Water vapour-components
for (int k = NK - 1; k >= 1; k--)
{
help = WAT_VAPN_L[k];
help += (Program.RELAXT * (PIM[k] * WAT_VAPN_L[k + 1] + QIM[k] - help));
WAT_VAPN_L[k] = help;
}
}
}
});
range_parallel = (int)(NJ / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2);
range_parallel = Math.Max(30 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NJ, range_parallel); // if NI < range_parallel
//Parallel.For(2, NJ, Program.pOptions, j1 =>
Parallel.ForEach(Partitioner.Create(2, NJ, range_parallel), range =>
{
double DIM;
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int j1 = range.Item1; j1 < range.Item2; j1++)
{
int j = NJ - j1 + 1;
for (int i = NI - 1; i >= 2; i--)
{
float[] AWEST_PS_L = Program.AWEST_PS[i][j];
float[] ASOUTH_PS_L = Program.ASOUTH_PS[i][j];
float[] AEAST_PS_L = Program.AEAST_PS[i][j];
float[] ANORTH_PS_L = Program.ANORTH_PS[i][j];
float[] AP0_PS_L = Program.AP0_PS[i][j];
double[] A_PS_L = Program.A_PS[i][j];
double[] B_PS_L = Program.B_PS[i][j];
double[] C_PS_L = Program.C_PS[i][j];
double[] WAT_VAPN_L = Program.WAT_VAPN[i][j];
double[] WAT_VAP_L = Program.WAT_VAP[i][j];
for (int k = 1; k <= NK - 1; k++)
{
DIM = AWEST_PS_L[k] * Program.WAT_VAPN[i - 1][j][k] + ASOUTH_PS_L[k] * Program.WAT_VAPN[i][j - 1][k] +
AEAST_PS_L[k] * Program.WAT_VAPN[i + 1][j][k] + ANORTH_PS_L[k] * Program.WAT_VAPN[i][j + 1][k] +
AP0_PS_L[k] * WAT_VAP_L[k];
//Recurrence formula
if (k > 1)
{
help = 1 / (A_PS_L[k] - C_PS_L[k] * PIM[k - 1]);
PIM[k] = B_PS_L[k] * help;
QIM[k] = (DIM + C_PS_L[k] * QIM[k - 1]) * help;
}
else
{
help = 1 / A_PS_L[k];
PIM[k] = B_PS_L[k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new Water vapour-components
for (int k = NK - 1; k >= 1; k--)
{
help = WAT_VAPN_L[k];
help += (Program.RELAXT * (PIM[k] * WAT_VAPN_L[k + 1] + QIM[k] - help));
WAT_VAPN_L[k] = help;
}
}
}
});
range_parallel = (int)(NJ / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2);
range_parallel = Math.Max(36 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NJ, range_parallel); // if NI < range_parallel
//Parallel.For(2, NJ, Program.pOptions, j =>
Parallel.ForEach(Partitioner.Create(2, NJ, range_parallel), range =>
{
double DIM;
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int j = range.Item1; j < range.Item2; j++)
{
for (int i = NI - 1; i >= 2; i--)
{
float[] AWEST_PS_L = Program.AWEST_PS[i][j];
float[] ASOUTH_PS_L = Program.ASOUTH_PS[i][j];
float[] AEAST_PS_L = Program.AEAST_PS[i][j];
float[] ANORTH_PS_L = Program.ANORTH_PS[i][j];
float[] AP0_PS_L = Program.AP0_PS[i][j];
double[] A_PS_L = Program.A_PS[i][j];
double[] B_PS_L = Program.B_PS[i][j];
double[] C_PS_L = Program.C_PS[i][j];
double[] WAT_VAPN_L = Program.WAT_VAPN[i][j];
double[] WAT_VAP_L = Program.WAT_VAP[i][j];
for (int k = 1; k <= NK - 1; k++)
{
DIM = AWEST_PS_L[k] * Program.WAT_VAPN[i - 1][j][k] + ASOUTH_PS_L[k] * Program.WAT_VAPN[i][j - 1][k] +
AEAST_PS_L[k] * Program.WAT_VAPN[i + 1][j][k] + ANORTH_PS_L[k] * Program.WAT_VAPN[i][j + 1][k] +
AP0_PS_L[k] * WAT_VAP_L[k];
//Recurrence formula
if (k > 1)
{
help = 1 / (A_PS_L[k] - C_PS_L[k] * PIM[k - 1]);
PIM[k] = B_PS_L[k] * help;
QIM[k] = (DIM + C_PS_L[k] * QIM[k - 1]) * help;
}
else
{
help = 1 / A_PS_L[k];
PIM[k] = B_PS_L[k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new Water vapour-components
for (int k = NK - 1; k >= 1; k--)
{
help = WAT_VAPN_L[k];
help += (Program.RELAXT * (PIM[k] * WAT_VAPN_L[k + 1] + QIM[k] - help));
WAT_VAPN_L[k] = help;
}
}
}
});
range_parallel = (int)(NJ / Program.pOptions.MaxDegreeOfParallelism - (ITIME % 3) * 2 + 6);
range_parallel = Math.Max(36 - (ITIME % 3) * 2, range_parallel); // min. 30 steps per processor
range_parallel = Math.Min(NJ, range_parallel); // if NI < range_parallel
//Parallel.For(2, NJ, Program.pOptions, j1 =>
Parallel.ForEach(Partitioner.Create(2, NJ, range_parallel), range =>
{
double DIM;
double[] PIM = new double[NK + 1];
double[] QIM = new double[NK + 1];
double help;
for (int j1 = range.Item1; j1 < range.Item2; j1++)
{
int j = NJ - j1 + 1;
for (int i = 2; i <= NI - 1; i++)
{
float[] AWEST_PS_L = Program.AWEST_PS[i][j];
float[] ASOUTH_PS_L = Program.ASOUTH_PS[i][j];
float[] AEAST_PS_L = Program.AEAST_PS[i][j];
float[] ANORTH_PS_L = Program.ANORTH_PS[i][j];
float[] AP0_PS_L = Program.AP0_PS[i][j];
double[] A_PS_L = Program.A_PS[i][j];
double[] B_PS_L = Program.B_PS[i][j];
double[] C_PS_L = Program.C_PS[i][j];
double[] WAT_VAPN_L = Program.WAT_VAPN[i][j];
double[] WAT_VAP_L = Program.WAT_VAP[i][j];
for (int k = 1; k <= NK - 1; k++)
{
DIM = AWEST_PS_L[k] * Program.WAT_VAPN[i - 1][j][k] + ASOUTH_PS_L[k] * Program.WAT_VAPN[i][j - 1][k] +
AEAST_PS_L[k] * Program.WAT_VAPN[i + 1][j][k] + ANORTH_PS_L[k] * Program.WAT_VAPN[i][j + 1][k] +
AP0_PS_L[k] * WAT_VAP_L[k];
//Recurrence formula
if (k > 1)
{
help = 1 / (A_PS_L[k] - C_PS_L[k] * PIM[k - 1]);
PIM[k] = B_PS_L[k] * help;
QIM[k] = (DIM + C_PS_L[k] * QIM[k - 1]) * help;
}
else
{
help = 1 / A_PS_L[k];
PIM[k] = B_PS_L[k] * help;
QIM[k] = DIM * help;
}
}
//Obtain new Water vapour-components
for (int k = NK - 1; k >= 1; k--)
{
help = WAT_VAPN_L[k];
help += (Program.RELAXT * (PIM[k] * WAT_VAPN_L[k + 1] + QIM[k] - help));
WAT_VAPN_L[k] = help;
}
}
}
});
}
internal static void Seed(CrutchContext context)
{
Trace.WriteLine("Performing database initialization");
var mainAccount = new Account {
Name = "Entity"
};
var otherAccount = new Account {
Name = "Framework"
};
var folders = new List <MessageFolder>(FoldersCount);
var allThreads = new List <MessageThread>(ThreadsInEachFolder * FoldersCount);
for (int i = 0; i < FoldersCount; i++)
{
var folder = new MessageFolder {
Owner = mainAccount, Name = "Folder" + i, Threads = new List <MessageThread>(ThreadsInEachFolder)
};
for (int j = 0; j < ThreadsInEachFolder; j++)
{
var thread = new MessageThread {
Subject = string.Format("Thread {0} - {1}", i, j)
};
folder.Threads.Add(thread);
allThreads.Add(thread);
}
folders.Add(folder);
}
var messages = new List <Message>(MessagesCount);
for (int i = 0; i < MessagesCount; i++)
{
messages.Add(new Message
{
Owner = mainAccount,
Sender = otherAccount,
Receiver = mainAccount,
Date = DateTime.UtcNow,
IsRead = false,
Thread = allThreads[i % allThreads.Count],
Text = "Message" + i
});
}
context.WithoutValidation().WithoutChangesDetection();
context.Accounts.Add(mainAccount);
context.Accounts.Add(otherAccount);
Trace.WriteLine("Adding folders");
for (int i = 0; i < FoldersCount; i++)
{
context.Folders.Add(folders[i]);
context.SaveChanges();
}
Parallel.ForEach(Partitioner.Create(0, MessagesCount, 100), range =>
{
using (var tempContext = EfContextFactory.CreateContext().WithoutChangesDetection().WithoutValidation())
{
tempContext.Entry(mainAccount).State = System.Data.EntityState.Unchanged;
tempContext.Entry(otherAccount).State = System.Data.EntityState.Unchanged;
for (int i = range.Item1; i < range.Item2; i++)
{
tempContext.Entry(messages[i].Thread).State = System.Data.EntityState.Unchanged;
tempContext.Messages.Add(messages[i]);
}
tempContext.SaveChanges();
}
Trace.WriteLine(string.Format("Adding messages {0} - {1}", range.Item1, range.Item2));
});
context.SaveChanges();
GC.Collect(2, GCCollectionMode.Forced, true);
}
public void Render(int width, int height, CancellationTokenSource tokenSource)
{
var stopwatch = new Stopwatch();
stopwatch.Start();
// reinit buffered values
Buffer = new int[width, height];
double yMin = _position.YMin;
double xMin = _position.XMin;
double stepX = _position.XDiff / width;
double stepY = _position.YDiff / height;
int maxIterations = _maxIterations;
int indexMaxIterations = _colorMap.IndexMaxIterations;
int colorMapLength = _colorMap.Colors.Length;
// local copy of color map
int[] localColorMap = new int[colorMapLength];
Array.Copy(_colorMap.Colors, localColorMap, colorMapLength);
var options = new ParallelOptions {
CancellationToken = tokenSource.Token
};
// start rendering from the center
var midToTop = RangeMinMaxInclusive(0, GetIndex(height, 0.5, true)).Reverse();
var midToBot = RangeMinMaxInclusive(GetIndex(height, 0.5, false), height - 1);
var source = midToTop.Concat(midToBot).ToArray();
OrderablePartitioner <int> partitioner = Partitioner.Create(source, true);
try
{
ParallelLoopResult unused = Parallel.ForEach(partitioner, options, () => 0, (y, state, threadLocal) =>
{
double zRe, zIm, zReSq, zImSq, zReTmp;
int iterations;
// imaginary axes step
double cIm = yMin + y * stepY;
// real axes
double cRe = xMin;
for (var x = 0; x < width; x++)
{
// reset maxIterations and z
zRe = 0;
zIm = 0;
iterations = 0;
zReSq = zRe * zRe;
zImSq = zIm * zIm;
// iterate until the max number of maxIterations was not reached
// or the value's magnitude falls below 2
while (iterations < maxIterations && zReSq + zImSq < 4)
{
// z = z^2 + c
zReTmp = zRe;
zRe = zReSq - zImSq + cRe;
zIm = zReTmp * zIm;
zIm = zIm + zIm + cIm;
zReSq = zRe * zRe;
zImSq = zIm * zIm;
iterations++;
}
if (iterations < maxIterations)
{
// smooth coloring algorithm
double zLog = Math.Log(zReSq + zImSq) / 2;
var nu = (int)(Math.Log(zLog * ONE_OVER_LOG_TWO) * ONE_OVER_LOG_TWO);
iterations = iterations + 1 - nu;
// directly write to pixel buffer
_fastImage.SetPixel(_pixelBufferPtr, x, y, localColorMap[iterations % colorMapLength]);
}
else
{
iterations = Int32.MaxValue;
// write a max iteration pixel
_fastImage.SetPixel(_pixelBufferPtr, x, y, localColorMap[indexMaxIterations]);
}
// save for further access
Buffer[x, y] = iterations;
// real axes step
cRe += stepX;
}
return(threadLocal);
},
threadLocal =>
{
_fastImage.Dirty();
Trace.WriteLine("=> Dirty requested.");
});
}
catch (OperationCanceledException)
{
Trace.WriteLine("=> ## Aborted calculation.");
}
stopwatch.Stop();
_fastImage.Dirty();
Trace.WriteLine($"=> Calculation took {stopwatch.ElapsedMilliseconds} milliseconds.");
}
static void Main(string[] args)
{
Console.WriteLine("Press any key to start");
Console.ReadKey();
Stopwatch sw = new Stopwatch();
long total = 0;
ResetGC();
#region Synchronic
Parallel.Invoke(() =>
{
sw.Start();
for (int i = 0; i < ITERATIONS; i++)
{
total += i;
}
sw.Stop();
});
Console.WriteLine("Synchronic: \r\n\tduration = {0:N0}, \ttotal = {1}", sw.ElapsedMilliseconds, total);
#endregion // Synchronic
total = 0;
ResetGC();
#region Parallel.For
// sub total with delegate for each iteration
sw.Restart();
Parallel.For(0, ITERATIONS,
() => 0L,
(i, state, local) => local + i,
local => total += local);
sw.Stop();
Console.WriteLine("Parallel.For: \r\n\tduration = {0:N0},\ttotal = {1}", sw.ElapsedMilliseconds, total);
#endregion // Parallel.For
total = 0;
ResetGC();
#region Partitioner
// sub total with delegate for each core
sw.Restart();
var partitioner = Partitioner.Create(0, ITERATIONS, ITERATIONS / Environment.ProcessorCount);
Parallel.ForEach(partitioner, tuple =>
{
long localTotal = 0;
for (int i = tuple.Item1; i < tuple.Item2; i++)
{
localTotal += i;
}
lock (partitioner)
{
total += localTotal;
}
});
sw.Stop();
Console.WriteLine("Partitioner: \r\n\tduration = {0:N0}, \ttotal = {1}", sw.ElapsedMilliseconds, total);
#endregion // Partitioner
//Console.ReadKey();
}
internal static async Task DownloadImdbMetadataAsync(string directory, int level = 2, bool overwrite = false, bool useCache = false, bool useBrowser = false, bool isTV = false, Action <string>?log = null)
{
log ??= TraceLog;
string[] movies = EnumerateDirectories(directory, level).ToArray();
Task[] tasks = Partitioner
.Create(movies)
.GetOrderablePartitions(IOMaxDegreeOfParallelism)
.Select((partition, partitionIndex) => Task.Run(async() =>
{
IWebDriver?webDriver = useBrowser ? WebDriverHelper.Start(partitionIndex) : null;
try
{
if (webDriver is not null)
{
webDriver.Url = "https://www.imdb.com/";
}
await partition.ForEachAsync(async movieWithIndex =>
{
(long index, string movie) = movieWithIndex;
string[] files = Directory.GetFiles(movie, PathHelper.AllSearchPattern, SearchOption.TopDirectoryOnly);
string[] jsonFiles = files.Where(file => file.EndsWith(JsonMetadataExtension, StringComparison.OrdinalIgnoreCase)).ToArray();
if (jsonFiles.Any())
{
if (overwrite)
{
jsonFiles.ForEach(jsonFile =>
{
log($"Delete imdb metadata {jsonFile}.");
File.Delete(jsonFile);
});
}
else
{
log($"Skip {movie}.");
return;
}
}
string?nfo = files.FirstOrDefault(file => file.EndsWith(XmlMetadataExtension, StringComparison.OrdinalIgnoreCase));
if (string.IsNullOrWhiteSpace(nfo))
{
log($"!Missing metadata {movie}.");
return;
}
string imdbId = XDocument.Load(nfo).Root?.Element((isTV ? "imdb_id" : "imdbid") !)?.Value ?? NotExistingFlag;
string imdbFile = Path.Combine(movie, $"{imdbId}{ImdbCacheExtension}");
string parentFile = Path.Combine(movie, $"{imdbId}.Parent{ImdbCacheExtension}");
string releaseFile = Path.Combine(movie, $"{imdbId}.Release{ImdbCacheExtension}");
if (string.Equals(imdbId, NotExistingFlag))
{
if (!files.Any(file => string.Equals(file, imdbFile, StringComparison.OrdinalIgnoreCase)))
{
await File.WriteAllTextAsync(Path.Combine(movie, imdbFile), string.Empty);
}
if (!files.Any(file => string.Equals(file, releaseFile, StringComparison.OrdinalIgnoreCase)))
{
await File.WriteAllTextAsync(Path.Combine(movie, releaseFile), string.Empty);
}
string emptyMetadataFile = Path.Combine(movie, $"{NotExistingFlag}{JsonMetadataExtension}");
if (!files.Any(file => string.Equals(file, emptyMetadataFile, StringComparison.OrdinalIgnoreCase)))
{
await File.WriteAllTextAsync(emptyMetadataFile, "{}");
}
return;
}
log($"{index} Start {movie}");
(string imdbUrl, string imdbHtml, string parentUrl, string parentHtml, string releaseUrl, string releaseHtml, ImdbMetadata imdbMetadata) = await Imdb.DownloadAsync(
imdbId,
useCache,
useCache ? imdbFile : string.Empty,
useCache ? parentFile : string.Empty,
useCache ? releaseFile : string.Empty,
webDriver);
Debug.Assert(!string.IsNullOrWhiteSpace(imdbHtml));
if (!imdbMetadata.Regions.Any())
{
log($"!Location is missing for {imdbId}: {movie}");
}
if (!useCache || !files.Any(file => string.Equals(file, imdbFile, StringComparison.OrdinalIgnoreCase)))
{
log($"Downloaded {imdbUrl} to {imdbFile}.");
await File.WriteAllTextAsync(imdbFile, imdbHtml);
log($"Saved to {imdbFile}.");
}
if (!useCache || !files.Any(file => string.Equals(file, releaseFile, StringComparison.OrdinalIgnoreCase)))
{
log($"Downloaded {releaseUrl} to {releaseFile}.");
await File.WriteAllTextAsync(releaseFile, releaseHtml);
log($"Saved to {releaseFile}.");
}
if (!string.IsNullOrWhiteSpace(parentUrl) && (!useCache || !files.Any(file => string.Equals(file, parentFile, StringComparison.OrdinalIgnoreCase))))
{
log($"Downloaded {parentUrl} to {parentFile}.");
await File.WriteAllTextAsync(parentFile, parentHtml);
log($"Saved to {parentFile}.");
}
string jsonFile = Path.Combine(movie, $"{imdbId}.{imdbMetadata.Year}.{string.Join(",", imdbMetadata.Regions.Take(5))}.{string.Join(",", imdbMetadata.Languages.Take(3))}{JsonMetadataExtension}");
log($"Merged {imdbUrl} and {releaseUrl} to {jsonFile}.");
string jsonContent = JsonSerializer.Serialize(
imdbMetadata,
new JsonSerializerOptions()
{
WriteIndented = true,
PropertyNamingPolicy = JsonNamingPolicy.CamelCase,
Encoder = JavaScriptEncoder.Create(UnicodeRanges.All)
});
await File.WriteAllTextAsync(jsonFile, jsonContent);
log($"Saved to {jsonFile}.");
});
}
finally
{
webDriver?.Dispose();
}
}))
.ToArray();
await Task.WhenAll(tasks);
}
public float DoAllMoves(Playfield playf)
{
print = playf.print;
this.isLethalCheck = playf.isLethalCheck;
enoughCalculations = false;
botBase = Ai.Instance.botBase;
this.posmoves.Clear();
this.twoturnfields.Clear();
this.addToPosmoves(playf);
bool havedonesomething = true;
List <Playfield> temp = new List <Playfield>();
int deep = 0;
this.calculated = 0;
Playfield bestold = null;
bestoldval = -20000000;
while (havedonesomething)
{
if (this.printNormalstuff)
{
LogHelper.WriteCombatLog("ailoop");
}
GC.Collect();
temp.Clear();
temp.AddRange(this.posmoves);
this.posmoves.Clear();
havedonesomething = false;
threadnumberGlobal = 0;
if (print)
{
startEnemyTurnSimThread(temp, 0, temp.Count);
}
else
{
Parallel.ForEach(Partitioner.Create(0, temp.Count),
range =>
{
startEnemyTurnSimThread(temp, range.Item1, range.Item2);
});
}
foreach (Playfield p in temp)
{
if (this.totalboards > 0)
{
this.calculated += p.nextPlayfields.Count;
}
if (this.calculated <= this.totalboards)
{
this.posmoves.AddRange(p.nextPlayfields);
p.nextPlayfields.Clear();
}
//get the best Playfield
float pVal = botBase.getPlayfieldValue(p);
if (pVal > bestoldval)
{
bestoldval = pVal;
bestold = p;
bestoldDuplicates.Clear();
}
else if (pVal == bestoldval)
{
bestoldDuplicates.Add(p);
}
}
if (isLethalCheck && bestoldval >= 10000)
{
this.posmoves.Clear();
}
if (this.posmoves.Count > 0)
{
havedonesomething = true;
}
if (this.printNormalstuff)
{
int donec = 0;
foreach (Playfield p in posmoves)
{
if (p.complete)
{
donec++;
}
}
LogHelper.WriteCombatLog("deep " + deep + " len " + this.posmoves.Count + " dones " + donec);
}
cuttingposibilities(isLethalCheck);
if (this.printNormalstuff)
{
LogHelper.WriteCombatLog("cut to len " + this.posmoves.Count);
}
deep++;
temp.Clear();
if (this.calculated > this.totalboards)
{
enoughCalculations = true;
}
if (deep >= this.maxdeep)
{
enoughCalculations = true;
}
}
if (this.dirtyTwoTurnSim > 0 && !twoturnfields.Contains(bestold))
{
twoturnfields.Add(bestold);
}
this.posmoves.Clear();
this.posmoves.Add(bestold);
this.posmoves.AddRange(bestoldDuplicates);
// search the best play...........................................................
//do dirtytwoturnsim first :D
if (!isLethalCheck && bestoldval < 10000)
{
doDirtyTwoTurnsim();
}
if (posmoves.Count >= 1)
{
posmoves.Sort((a, b) => botBase.getPlayfieldValue(b).CompareTo(botBase.getPlayfieldValue(a)));
Playfield bestplay = posmoves[0];
float bestval = botBase.getPlayfieldValue(bestplay);
int pcount = posmoves.Count;
for (int i = 1; i < pcount; i++)
{
float val = botBase.getPlayfieldValue(posmoves[i]);
if (bestval > val)
{
break;
}
if (posmoves[i].cardsPlayedThisTurn > bestplay.cardsPlayedThisTurn)
{
continue;
}
else if (posmoves[i].cardsPlayedThisTurn == bestplay.cardsPlayedThisTurn)
{
if (bestplay.optionsPlayedThisTurn > posmoves[i].optionsPlayedThisTurn)
{
continue;
}
else if (bestplay.optionsPlayedThisTurn == posmoves[i].optionsPlayedThisTurn && bestplay.enemyHero.HealthPoints <= posmoves[i].enemyHero.HealthPoints)
{
continue;
}
}
bestplay = posmoves[i];
bestval = val;
}
this.bestmove = bestplay.getNextAction();
this.bestmoveValue = bestval;
this.bestboard = new Playfield(bestplay);
this.bestboard.guessingHeroHP = bestplay.guessingHeroHP;
this.bestboard.value = bestplay.value;
this.bestboard.hashcode = bestplay.hashcode;
bestoldDuplicates.Clear();
return(bestval);
}
this.bestmove = null;
this.bestmoveValue = -100000;
this.bestboard = playf;
return(-10000);
}
/// <summary>
/// Selects an item (such as Max or Min).
/// </summary>
/// <param name="array">The array to iterate over.</param>
/// <param name="select">The function to select items over a subset.</param>
/// <param name="reduce">The function to select the item of selection from the subsets.</param>
/// <returns>The selected value.</returns>
public static TOut Aggregate <T, TOut>(T[] array, Func <int, T, TOut> select, Func <TOut[], TOut> reduce)
{
if (select == null)
{
throw new ArgumentNullException(nameof(select));
}
if (reduce == null)
{
throw new ArgumentNullException(nameof(reduce));
}
// Special case: no action
if (array == null || array.Length == 0)
{
return(reduce(Array.Empty <TOut>()));
}
// Special case: single action, inline
if (array.Length == 1)
{
return(reduce(new[] { select(0, array[0]) }));
}
// Special case: straight execution without parallelism
if (Control.MaxDegreeOfParallelism < 2)
{
var mapped = new TOut[array.Length];
for (int k = 0; k < mapped.Length; k++)
{
mapped[k] = select(k, array[k]);
}
return(reduce(mapped));
}
// Common case
var intermediateResults = new List <TOut>();
var syncLock = new object();
Parallel.ForEach(
Partitioner.Create(0, array.Length),
CreateParallelOptions(),
() => new List <TOut>(),
(range, _, localData) =>
{
var mapped = new TOut[range.Item2 - range.Item1];
for (int k = 0; k < mapped.Length; k++)
{
mapped[k] = select(k + range.Item1, array[k + range.Item1]);
}
localData.Add(reduce(mapped));
return(localData);
},
localResult =>
{
lock (syncLock)
{
intermediateResults.Add(reduce(localResult.ToArray()));
}
});
return(reduce(intermediateResults.ToArray()));
}
public static void Main(string[] args)
{
#region Intro
Console.ForegroundColor = Color.White;
Logger.Inf("Select your proxies list.", true, false);
var fileDialog = new OpenFileDialog
{
Filter = "Text Files|*.txt",
Title = "Select your proxies list"
};
while (fileDialog.ShowDialog() != DialogResult.OK)
{
}
var fileName = fileDialog.FileName;
var proxyList = FileHelper.ReadAsList(fileDialog.FileName);
Logger.Inf($"{proxyList.Count} proxies loaded from {Path.GetFileName(fileName)}", true);
Logger.Inf("Select your code list.", true, false);
fileDialog.Title = "Select your code list";
while (fileDialog.ShowDialog() != DialogResult.OK)
{
}
fileName = fileDialog.FileName;
var codeList = FileHelper.ReadAsList(fileDialog.FileName);
Logger.Inf($"{codeList.Count} codes loaded from {Path.GetFileName(fileName)}", true);
var proxyTypes = new[] { "HTTP", "SOCKS4", "SOCKS5" };
var proxyType = string.Empty;
while (string.IsNullOrEmpty(proxyType))
{
Logger.Inf($"Proxy Type [{string.Join(", ", proxyTypes)}] : ", newLine: false);
var input = Console.ReadLine();
if (proxyTypes.Contains(input))
{
proxyType = input;
}
}
var maxThreads = -1;
while (maxThreads < 0)
{
Logger.Inf("Max Threads : ", newLine: false);
try
{
var input = Console.ReadLine();
if (string.IsNullOrEmpty(input))
{
continue;
}
maxThreads = int.Parse(input);
}
catch (FormatException)
{
// ignored
}
}
#endregion
var caller = new Netflix
{
ProxyList = proxyList.ToArray(),
ProxyType = proxyType,
};
Console.Clear();
ThreadPool.SetMinThreads(maxThreads, maxThreads);
int checkedCount = 0, errorCount = 0, bannedCount = 0, validCount = 0, totalBalance = 0;
FileHelper.BeginCheck();
CpmTask.Start();
Globals.Working = true;
Parallel.ForEach(Partitioner.Create(codeList, EnumerablePartitionerOptions.NoBuffering),
new ParallelOptions {
MaxDegreeOfParallelism = maxThreads
}, code =>
{
caller.Check(code, (codeCb, proxy, valid, error, balance) =>
{
if (new[] { "generic_failure", "unable_to_redeem", "Unable to determine balance", "Proxy timed out" }.Contains(error))
{
errorCount += 1;
}
if (error.Contains("Banned proxy"))
{
bannedCount += 1;
}
if (valid && !string.IsNullOrEmpty(balance))
{
checkedCount += 1;
validCount += 1;
var rawBalance = int.Parse(new Regex("(\\d{1,3})").Match(balance).Groups[1].Value);
totalBalance += rawBalance;
FileHelper.Write("Hits.txt", $"{code} | €{rawBalance}");
Console.WriteLine($"{code} | {rawBalance} EUR", Color.Green);
}
else if (error.Contains("single_use_code"))
{
checkedCount += 1;
}
Interlocked.Increment(ref Globals.LastChecks);
Console.Title =
$"NGC – Checked : {checkedCount}/{codeList.Count} – Errors : {errorCount} – Bans : {bannedCount} – Hits : {validCount} – Total: {totalBalance} EUR – CPM: {CpmTask.GetCpm()}";
});
});
Logger.Inf("Job done.");
Thread.Sleep(-1);
}
protected override MetaMorpheusEngineResults RunSpecific()
{
double progress = 0;
int oldPercentProgress = 0;
ReportProgress(new ProgressEventArgs(oldPercentProgress, "Performing modern search... " + CurrentPartition + "/" + commonParameters.TotalPartitions, nestedIds));
byte byteScoreCutoff = (byte)commonParameters.ScoreCutoff;
if (commonParameters.CalculateEValue)
{
byteScoreCutoff = 1;
}
Parallel.ForEach(Partitioner.Create(0, ListOfSortedms2Scans.Length), new ParallelOptions {
MaxDegreeOfParallelism = commonParameters.MaxThreadsToUsePerFile
}, (range, loopState) =>
{
byte[] scoringTable = new byte[PeptideIndex.Count];
List <int> idsOfPeptidesPossiblyObserved = new List <int>();
for (int i = range.Item1; i < range.Item2; i++)
{
// Stop loop if canceled
if (GlobalVariables.StopLoops)
{
loopState.Stop();
return;
}
// empty the scoring table to score the new scan (conserves memory compared to allocating a new array)
Array.Clear(scoringTable, 0, scoringTable.Length);
idsOfPeptidesPossiblyObserved.Clear();
var scan = ListOfSortedms2Scans[i];
// get fragment bins for this scan
List <int> allBinsToSearch = GetBinsToSearch(scan);
// get allowed theoretical masses from the known experimental mass
// note that this is the OPPOSITE of the classic search (which calculates experimental masses from theoretical values)
// this is just PRELIMINARY precursor-mass filtering
// additional checks are made later to ensure that the theoretical precursor mass is acceptable
var notches = MassDiffAcceptor.GetAllowedPrecursorMassIntervals(scan.PrecursorMass);
double lowestMassPeptideToLookFor = Double.NegativeInfinity;
double highestMassPeptideToLookFor = Double.PositiveInfinity;
double largestMassDiff = notches.Max(p => p.AllowedInterval.Maximum);
double smallestMassDiff = notches.Min(p => p.AllowedInterval.Minimum);
if (!Double.IsInfinity(largestMassDiff))
{
double largestOppositeMassDiff = -1 * (notches.Max(p => p.AllowedInterval.Maximum) - scan.PrecursorMass);
lowestMassPeptideToLookFor = scan.PrecursorMass + largestOppositeMassDiff;
}
if (!Double.IsNegativeInfinity(smallestMassDiff))
{
double smallestOppositeMassDiff = -1 * (notches.Min(p => p.AllowedInterval.Minimum) - scan.PrecursorMass);
highestMassPeptideToLookFor = scan.PrecursorMass + smallestOppositeMassDiff;
}
// first-pass scoring
IndexedScoring(allBinsToSearch, scoringTable, byteScoreCutoff, idsOfPeptidesPossiblyObserved, scan.PrecursorMass, lowestMassPeptideToLookFor, highestMassPeptideToLookFor);
// done with indexed scoring; refine scores and create PSMs
foreach (var id in idsOfPeptidesPossiblyObserved)
{
var compactPeptide = PeptideIndex[id];
var productMasses = compactPeptide.ProductMassesMightHaveDuplicatesAndNaNs(ProductTypes);
Array.Sort(productMasses);
double scanPrecursorMass = scan.PrecursorMass;
var thisScore = CalculatePeptideScoreOld(scan.TheScan, commonParameters.ProductMassTolerance, productMasses, scanPrecursorMass, DissociationTypes, commonParameters.AddCompIons, 0);
int notch = MassDiffAcceptor.Accepts(scan.PrecursorMass, compactPeptide.MonoisotopicMassIncludingFixedMods);
bool meetsScoreCutoff = thisScore >= commonParameters.ScoreCutoff;
bool scoreImprovement = PeptideSpectralMatches[i] == null || (thisScore - PeptideSpectralMatches[i].RunnerUpScore) > -PeptideSpectralMatch.ToleranceForScoreDifferentiation;
if (meetsScoreCutoff && scoreImprovement || commonParameters.CalculateEValue)
{
if (PeptideSpectralMatches[i] == null)
{
PeptideSpectralMatches[i] = new PeptideSpectralMatch(compactPeptide, notch, thisScore, i, scan, commonParameters.DigestionParams);
}
else
{
PeptideSpectralMatches[i].AddOrReplace(compactPeptide, thisScore, notch, commonParameters.ReportAllAmbiguity);
}
if (commonParameters.CalculateEValue)
{
PeptideSpectralMatches[i].AllScores.Add(thisScore);
}
}
}
// report search progress
progress++;
var percentProgress = (int)((progress / ListOfSortedms2Scans.Length) * 100);
if (percentProgress > oldPercentProgress)
{
oldPercentProgress = percentProgress;
ReportProgress(new ProgressEventArgs(percentProgress, "Performing modern search... " + CurrentPartition + "/" + commonParameters.TotalPartitions, nestedIds));
}
}
});
// remove peptides below the score cutoff that were stored to calculate expectation values
if (commonParameters.CalculateEValue)
{
for (int i = 0; i < PeptideSpectralMatches.Length; i++)
{
if (PeptideSpectralMatches[i] != null && PeptideSpectralMatches[i].Score < commonParameters.ScoreCutoff)
{
PeptideSpectralMatches[i] = null;
}
}
}
return(new MetaMorpheusEngineResults(this));
}
public async Task Generate()
{
try
{
if (string.IsNullOrEmpty(ProjectFilePath))
{
Log.Exception("ProjectFilePath is empty: " + Project.ToString());
return;
}
ProjectDestinationFolder = GetProjectDestinationPath(Project, SolutionGenerator.SolutionDestinationFolder);
if (ProjectDestinationFolder == null)
{
Log.Exception("Errors evaluating project: " + Project.Id);
return;
}
Log.Write(ProjectDestinationFolder, ConsoleColor.DarkCyan);
if (SolutionGenerator.SolutionSourceFolder is string solutionFolder)
{
ProjectSourcePath = Paths.MakeRelativeToFolder(ProjectFilePath, solutionFolder);
}
else
{
ProjectSourcePath = ProjectFilePath;
}
if (File.Exists(Path.Combine(ProjectDestinationFolder, Constants.DeclaredSymbolsFileName + ".txt")))
{
// apparently someone already generated a project with this assembly name - their assembly wins
Log.Exception(string.Format(
"A project with assembly name {0} was already generated, skipping current project: {1}",
this.AssemblyName,
this.ProjectFilePath), isSevere: false);
return;
}
if (Configuration.CreateFoldersOnDisk)
{
Directory.CreateDirectory(ProjectDestinationFolder);
}
var documents = Project.Documents.Where(IncludeDocument).ToList();
var generationTasks = Partitioner.Create(documents)
.GetPartitions(Environment.ProcessorCount)
.Select(partition =>
Task.Run(async() =>
{
using (partition)
{
while (partition.MoveNext())
{
await GenerateDocument(partition.Current);
}
}
}));
await Task.WhenAll(generationTasks);
foreach (var document in documents)
{
OtherFiles.Add(Paths.GetRelativeFilePathInProject(document));
}
if (Configuration.WriteProjectAuxiliaryFilesToDisk)
{
GenerateProjectFile();
GenerateDeclarations();
GenerateBaseMembers();
GenerateImplementedInterfaceMembers();
GenerateProjectInfo();
GenerateReferencesDataFiles(
this.SolutionGenerator.SolutionDestinationFolder,
ReferencesByTargetAssemblyAndSymbolId);
GenerateSymbolIDToListOfDeclarationLocationsMap(
ProjectDestinationFolder,
SymbolIDToListOfLocationsMap);
GenerateReferencedAssemblyList();
GenerateUsedReferencedAssemblyList();
GenerateProjectExplorer();
GenerateNamespaceExplorer();
GenerateIndex();
}
var compilation = Project.GetCompilationAsync().Result;
var diagnostics = compilation.GetDiagnostics().Select(d => d.ToString()).ToArray();
if (diagnostics.Length > 0)
{
var diagnosticsTxt = Path.Combine(this.ProjectDestinationFolder, "diagnostics.txt");
File.WriteAllLines(diagnosticsTxt, diagnostics);
}
}
catch (Exception ex)
{
Log.Exception(ex, "Project generation failed for: " + ProjectSourcePath);
}
}
/// <summary>
/// Search subdomains using wordlists
/// </summary>
private void SearchCommonNames()
{
var message = $"Searching subdomains of {strDomain} using common DNS names";
Program.LogThis(new Log(Log.ModuleType.DNSCommonNames, message, Log.LogType.debug));
Program.ChangeStatus(message);
var names = new List <string>();
try
{
names.AddRange(File.ReadAllLines(CommonNamesFileName));
}
catch
{
Program.LogThis(new Log(Log.ModuleType.DNSCommonNames,
$"Error opening file: {CommonNamesFileName}", Log.LogType.error));
return;
}
var nsServerList = DNSUtil.GetNSServer(Resolve, strDomain, Resolve.DnsServers[0].Address.ToString());
foreach (var nsServer in nsServerList)
{
if (DNSUtil.IsDNSAnyCast(Resolve, nsServer, strDomain))
{
Program.LogThis(new Log(Log.ModuleType.DNSCommonNames,
$"DNS server is Anycast, not used: {nsServer}", Log.LogType.debug));
}
else
{
var op = Partitioner.Create(names);
var po = new ParallelOptions();
if (Program.cfgCurrent.ParallelDnsQueries != 0)
{
po.MaxDegreeOfParallelism = Program.cfgCurrent.ParallelDnsQueries;
}
Parallel.ForEach(op, po, delegate(string name)
{
if (CheckToSkip())
{
return;
}
var subdomain = $"{name}.{strDomain}";
Program.LogThis(new Log(Log.ModuleType.DNSCommonNames,
string.Format("[{0}] Trying resolve subdomain: {1} with NameServer {0}", nsServer, subdomain),
Log.LogType.debug));
foreach (var ip in DNSUtil.GetHostAddresses(Resolve, subdomain, nsServer))
{
Program.LogThis(new Log(Log.ModuleType.DNSCommonNames,
$"[{nsServer}] Found subdomain {subdomain}", Log.LogType.medium));
try
{
Program.data.AddResolution(subdomain, ip.ToString(),
$"Common Names [{subdomain}]", MaxRecursion, Program.cfgCurrent,
true);
}
catch (Exception)
{
}
}
}
);
if (!bSearchWithAllDNS)
{
break;
}
}
}
}
public static void TestForEach_Break(int loopsize, int breakpoint)
{
var complete = new bool[loopsize];
// NOTE: Make sure and use some collection that is NOT a list or an
// array. Lists/arrays will be essentially be passed through
// Parallel.For() logic, which will make this test fail.
var iqueue = new Queue <int>();
for (int i = 0; i < loopsize; i++)
{
iqueue.Enqueue(i);
}
Parallel.ForEach(iqueue, delegate(int i, ParallelLoopState ps)
{
complete[i] = true;
if (i >= breakpoint)
{
ps.Break();
}
//Thread.Sleep(2);
});
// Same rules as For-loop. Should not be any omissions prior
// to break, and there should be some after.
for (int i = 0; i <= breakpoint; i++)
{
Assert.True(complete[i], string.Format("TestForEachBreak(loopsize={0},breakpoint={1}): Failed: incomplete at {2}", loopsize, breakpoint, i));
}
bool result = false;
for (int i = breakpoint + 1; i < loopsize; i++)
{
if (!complete[i])
{
result = true;
break;
}
}
Assert.True(result, string.Format("TestForEachBreak(loopsize={0},breakpoint={1}): Failed: Could not detect any interruption of For-loop.", loopsize, breakpoint));
//
// Now try it for OrderablePartitioner
//
var ilist = new List <int>();
for (int i = 0; i < loopsize; i++)
{
ilist.Add(i);
complete[i] = false;
}
OrderablePartitioner <int> mop = Partitioner.Create(ilist, true);
Parallel.ForEach(mop, delegate(int item, ParallelLoopState ps, long index)
{
//break does not imply that the other iterations will not be run
//https://docs.microsoft.com/en-us/dotnet/api/system.threading.tasks.parallelloopstate.break#System_Threading_Tasks_ParallelLoopState_Break
//execute the test with high loop size and low break index
complete[index] = true;
if (index >= breakpoint)
{
ps.Break();
}
//Thread.Sleep(2);
});
for (int i = 0; i <= breakpoint; i++)
{
Assert.True(complete[i], string.Format("TestForEachBreak(loopsize={0},breakpoint={1}): Failed: incomplete at {2}", loopsize, breakpoint, i));
}
result = false;
for (int i = breakpoint + 1; i < loopsize; i++)
{
if (!complete[i])
{
result = true;
break;
}
}
Assert.True(result, string.Format("TestForEachBreak(loopsize={0},breakpoint={1}): Failed: Could not detect any interruption of For-loop.", loopsize, breakpoint));
}
static int Main(string[] args)
{
var softwareUnderTest = args[0];
_logFile = string.Format("{0}-{1}.log", softwareUnderTest, DateTime.Now.ToString("yyyy-MM-dd HHmmss"));
if (!File.Exists(softwareUnderTest))
{
LogText(string.Format("The file {0} does not exist.", softwareUnderTest));
return(-1);
}
LogText("Loading test suite...");
// Load static container of all tests.
List <TestEnvironment> listEnvironments = new List <TestEnvironment>();
TestEnvironments.AddAll(listEnvironments);
int testIndex = 0;
var f = TaskScheduler.Default;
var options = new ParallelOptions()
{
MaxDegreeOfParallelism = 4,
};
// We can run tests on XP and Vista/2003/2008 at the same time since it's separate VMware images.
var environmentsGroupedByVmwareImage = listEnvironments.GroupBy(item => item.VMwarePath).ToList();
var partitioner = Partitioner.Create(environmentsGroupedByVmwareImage, EnumerablePartitionerOptions.NoBuffering);
Parallel.ForEach(partitioner, options, environmentGroup =>
{
foreach (var environment in environmentGroup)
{
int localIndex;
lock (_lockCounterTest)
{
localIndex = ++testIndex;
string message =
string.Format("{0}: {1}/{2} - Test: {3} on {4} with db {5}. Image: {6} (Snapshot: {7})",
DateTime.Now,
localIndex,
listEnvironments.Count,
environment.Description,
environment.OperatingSystem,
environment.DatabaseType,
Path.GetFileName(environment.VMwarePath),
environment.SnapshotName);
LogText(message);
}
var runner = new TestRunner(true, environment, false, softwareUnderTest);
try
{
runner.Run();
LogText(string.Format("{0}: Test {1} completed successfully.", DateTime.Now, localIndex));
}
catch (Exception ex)
{
LogText(string.Format("{0}: Test {1} failed.", DateTime.Now, localIndex));
LogText(ex.ToString());
throw;
}
}
});
System.Console.WriteLine("All tests completed succesfully.");
if (System.Diagnostics.Debugger.IsAttached)
{
System.Console.WriteLine("Press Enter to exit.");
System.Console.ReadLine();
}
return(0);
}
/// <summary>
/// Sets the color of all transparent pixels based on the non-transparent color values next to them.
/// This does not affect any alpha values but prepares the Layer for correct filtering once uploaded
/// to <see cref="Duality.Resources.Texture"/>.
/// </summary>
public void ColorTransparentPixels()
{
ColorRgba[] dataCopy = new ColorRgba[this.data.Length];
Array.Copy(this.data, dataCopy, this.data.Length);
#if !DISABLE_ASYNC
Parallel.ForEach(Partitioner.Create(0, this.data.Length), range => {
#endif
Point2 pos = new Point2();
int[] nPos = new int[8];
bool[] nOk = new bool[8];
int[] mixClr = new int[4];
#if !DISABLE_ASYNC
for (int i = range.Item1; i < range.Item2; i++) {
#else
for (int i = 0; i < this.data.Length; i++) {
#endif
if (dataCopy[i].A != 0) continue;
pos.Y = i / this.width;
pos.X = i - (pos.Y * this.width);
mixClr[0] = 0;
mixClr[1] = 0;
mixClr[2] = 0;
mixClr[3] = 0;
nPos[0] = i - this.width;
nPos[1] = i + this.width;
nPos[2] = i - 1;
nPos[3] = i + 1;
nPos[4] = i - this.width - 1;
nPos[5] = i + this.width - 1;
nPos[6] = i - this.width + 1;
nPos[7] = i + this.width + 1;
nOk[0] = pos.Y > 0;
nOk[1] = pos.Y < this.height - 1;
nOk[2] = pos.X > 0;
nOk[3] = pos.X < this.width - 1;
nOk[4] = nOk[2] && nOk[0];
nOk[5] = nOk[2] && nOk[1];
nOk[6] = nOk[3] && nOk[0];
nOk[7] = nOk[3] && nOk[1];
int nMult = 2;
for (int j = 0; j < 8; j++)
{
if (!nOk[j]) continue;
if (dataCopy[nPos[j]].A == 0) continue;
mixClr[0] += dataCopy[nPos[j]].R * nMult;
mixClr[1] += dataCopy[nPos[j]].G * nMult;
mixClr[2] += dataCopy[nPos[j]].B * nMult;
mixClr[3] += nMult;
if (j > 3) nMult = 1;
}
if (mixClr[3] > 0)
{
this.data[i].R = (byte)Math.Round((float)mixClr[0] / (float)mixClr[3]);
this.data[i].G = (byte)Math.Round((float)mixClr[1] / (float)mixClr[3]);
this.data[i].B = (byte)Math.Round((float)mixClr[2] / (float)mixClr[3]);
}
}
#if !DISABLE_ASYNC
});
#endif
}
/// <summary>
/// Selects an item (such as Max or Min).
/// </summary>
/// <param name="array">The array to iterate over.</param>
/// <param name="select">The function to select items over a subset.</param>
/// <param name="reduce">The function to select the item of selection from the subsets.</param>
/// <returns>The selected value.</returns>
public static TOut Aggregate <T, TOut>(T[] array, Func <int, T, TOut> select, Func <TOut[], TOut> reduce)
{
if (select == null)
{
throw new ArgumentNullException("select");
}
if (reduce == null)
{
throw new ArgumentNullException("reduce");
}
// Special case: no action
if (array == null || array.Length == 0)
{
return(reduce(new TOut[0]));
}
// Special case: single action, inline
if (array.Length == 1)
{
return(reduce(new[] { select(0, array[0]) }));
}
// Special case: straight execution without parallelism
if (Control.DisableParallelization || Control.NumberOfParallelWorkerThreads < 2)
{
var mapped = new TOut[array.Length];
for (int k = 0; k < mapped.Length; k++)
{
mapped[k] = select(k, array[k]);
}
return(reduce(mapped));
}
#if (PORTABLE || NET35)
var tasks = new Task <TOut> [Control.NumberOfParallelWorkerThreads];
var size = array.Length / tasks.Length;
// partition the jobs into separate sets for each but the last worked thread
for (var i = 0; i < tasks.Length - 1; i++)
{
var start = (i * size);
var stop = ((i + 1) * size);
tasks[i] = Task.Factory.StartNew(() =>
{
var mapped = new TOut[stop - start];
for (int k = 0; k < mapped.Length; k++)
{
mapped[k] = select(k + start, array[k + start]);
}
return(reduce(mapped));
});
}
// add another set for last worker thread
tasks[tasks.Length - 1] = Task.Factory.StartNew(() =>
{
var start = ((tasks.Length - 1) * size);
var mapped = new TOut[array.Length - start];
for (int k = 0; k < mapped.Length; k++)
{
mapped[k] = select(k + start, array[k + start]);
}
return(reduce(mapped));
});
return(Task.Factory
.ContinueWhenAll(tasks, tsk => reduce(tsk.Select(t => t.Result).ToArray()))
.Result);
#else
var intermediateResults = new List <TOut>();
var syncLock = new object();
var maxThreads = Control.DisableParallelization ? 1 : Control.NumberOfParallelWorkerThreads;
Parallel.ForEach(
Partitioner.Create(0, array.Length),
new ParallelOptions {
MaxDegreeOfParallelism = maxThreads
},
() => new List <TOut>(),
(range, loop, localData) =>
{
var mapped = new TOut[range.Item2 - range.Item1];
for (int k = 0; k < mapped.Length; k++)
{
mapped[k] = select(k + range.Item1, array[k + range.Item1]);
}
localData.Add(reduce(mapped));
return(localData);
},
localResult =>
{
lock (syncLock)
{
intermediateResults.Add(reduce(localResult.ToArray()));
}
});
return(reduce(intermediateResults.ToArray()));
#endif
}
private ColorRgba[] InternalRescale(int w, int h, ImageScaleFilter filter)
{
if (this.width == w && this.height == h) return null;
ColorRgba[] tempDestData = new ColorRgba[w * h];
if (filter == ImageScaleFilter.Nearest)
{
// Don't use Parallel.For here, the overhead is too big and the compiler
// does a great job optimizing this piece of code without, so don't get in the way.
for (int i = 0; i < tempDestData.Length; i++)
{
int y = i / w;
int x = i - (y * w);
int xTmp = (x * this.width) / w;
int yTmp = (y * this.height) / h;
int nTmp = xTmp + (yTmp * this.width);
tempDestData[i] = this.data[nTmp];
}
}
else if (filter == ImageScaleFilter.Linear)
{
#if !DISABLE_ASYNC
Parallel.ForEach(Partitioner.Create(0, tempDestData.Length), range => {
for (int i = range.Item1; i < range.Item2; i++) {
#else
for (int i = 0; i < tempDestData.Length; i++) {
#endif
int y = i / w;
int x = i - (y * w);
float xRatio = ((float)(x * this.width) / (float)w) + 0.5f;
float yRatio = ((float)(y * this.height) / (float)h) + 0.5f;
int xTmp = (int)xRatio;
int yTmp = (int)yRatio;
xRatio -= xTmp;
yRatio -= yTmp;
int xTmp2 = xTmp + 1;
int yTmp2 = yTmp + 1;
xTmp = xTmp < this.width ? xTmp : this.width - 1;
yTmp = (yTmp < this.height ? yTmp : this.height - 1) * this.width;
xTmp2 = xTmp2 < this.width ? xTmp2 : this.width - 1;
yTmp2 = (yTmp2 < this.height ? yTmp2 : this.height - 1) * this.width;
int nTmp0 = xTmp + yTmp;
int nTmp1 = xTmp2 + yTmp;
int nTmp2 = xTmp + yTmp2;
int nTmp3 = xTmp2 + yTmp2;
tempDestData[i].R =
(byte)
(
((float)this.data[nTmp0].R * (1.0f - xRatio) * (1.0f - yRatio)) +
((float)this.data[nTmp1].R * xRatio * (1.0f - yRatio)) +
((float)this.data[nTmp2].R * yRatio * (1.0f - xRatio)) +
((float)this.data[nTmp3].R * xRatio * yRatio)
);
tempDestData[i].G =
(byte)
(
((float)this.data[nTmp0].G * (1.0f - xRatio) * (1.0f - yRatio)) +
((float)this.data[nTmp1].G * xRatio * (1.0f - yRatio)) +
((float)this.data[nTmp2].G * yRatio * (1.0f - xRatio)) +
((float)this.data[nTmp3].G * xRatio * yRatio)
);
tempDestData[i].B =
(byte)
(
((float)this.data[nTmp0].B * (1.0f - xRatio) * (1.0f - yRatio)) +
((float)this.data[nTmp1].B * xRatio * (1.0f - yRatio)) +
((float)this.data[nTmp2].B * yRatio * (1.0f - xRatio)) +
((float)this.data[nTmp3].B * xRatio * yRatio)
);
tempDestData[i].A =
(byte)
(
((float)this.data[nTmp0].A * (1.0f - xRatio) * (1.0f - yRatio)) +
((float)this.data[nTmp1].A * xRatio * (1.0f - yRatio)) +
((float)this.data[nTmp2].A * yRatio * (1.0f - xRatio)) +
((float)this.data[nTmp3].A * xRatio * yRatio)
);
}
#if !DISABLE_ASYNC
});
#endif
}
return tempDestData;
}
/// <summary>
/// Executes a for loop in which iterations may run in parallel.
/// </summary>
/// <param name="fromInclusive">The start index, inclusive.</param>
/// <param name="toExclusive">The end index, exclusive.</param>
/// <param name="rangeSize">The partition size for splitting work into smaller pieces.</param>
/// <param name="body">The body to be invoked for each iteration range.</param>
public static void For(int fromInclusive, int toExclusive, int rangeSize, Action <int, int> body)
{
if (body == null)
{
throw new ArgumentNullException("body");
}
if (fromInclusive < 0)
{
throw new ArgumentOutOfRangeException("fromInclusive");
}
if (fromInclusive > toExclusive)
{
throw new ArgumentOutOfRangeException("toExclusive");
}
if (rangeSize < 1)
{
throw new ArgumentOutOfRangeException("rangeSize");
}
var length = toExclusive - fromInclusive;
// Special case: nothing to do
if (length <= 0)
{
return;
}
var maxDegreeOfParallelism = Control.NumberOfParallelWorkerThreads;
// Special case: not worth to parallelize, inline
if (Control.DisableParallelization || maxDegreeOfParallelism < 2 || (rangeSize * 2) > length)
{
body(fromInclusive, toExclusive);
return;
}
#if (PORTABLE || NET35)
var tasks = new Task[Math.Min(maxDegreeOfParallelism, length / rangeSize)];
rangeSize = (toExclusive - fromInclusive) / tasks.Length;
// partition the jobs into separate sets for each but the last worked thread
for (var i = 0; i < tasks.Length - 1; i++)
{
var start = fromInclusive + (i * rangeSize);
var stop = fromInclusive + ((i + 1) * rangeSize);
tasks[i] = Task.Factory.StartNew(() => body(start, stop));
}
// add another set for last worker thread
tasks[tasks.Length - 1] =
Task.Factory.StartNew(() => body(fromInclusive + ((tasks.Length - 1) * rangeSize), toExclusive));
Task.WaitAll(tasks);
#else
Parallel.ForEach(
Partitioner.Create(fromInclusive, toExclusive, rangeSize),
new ParallelOptions {
MaxDegreeOfParallelism = maxDegreeOfParallelism
},
(range, loopState) => body(range.Item1, range.Item2));
#endif
}
/// <summary>
///
/// </summary>
public void ProcessCallback(int[][] buf, int samples)
{
if (samples == 0)
{
return;
}
using (VstAudioBufferManager bufA = new VstAudioBufferManager(2, samples))
using (VstAudioBufferManager bufB = new VstAudioBufferManager(2, samples))
{
lock (InstrumentBase.VstPluginContextLockObject)
{
bool processed = false;
foreach (var vp in this)
{
var ctx = vp.PluginContext;
if (ctx != null)
{
int idx = 0;
foreach (VstAudioBuffer vab in bufA)
{
Parallel.ForEach(Partitioner.Create(0, samples), range =>
{
for (var i = range.Item1; i < range.Item2; i++)
{
vab[i] = (float)buf[idx][i] / 32767.0f;
}
});
//for (int i = 0; i < samples; i++)
// vab[i] = (float)buf[idx][i] / (float)int.MaxValue;
idx++;
}
break;
}
}
VstAudioBufferManager bufa = bufA;
VstAudioBufferManager bufb = bufA;
foreach (var vp in this)
{
var ctx = vp.PluginContext;
if (ctx != null)
{
ctx.Context.PluginCommandStub.SetBlockSize(samples);
ctx.Context.PluginCommandStub.ProcessReplacing(bufa.ToArray <VstAudioBuffer>(), bufb.ToArray <VstAudioBuffer>());
processed = true;
}
var tmp = bufa;
bufa = bufb;
bufb = tmp;
}
if (processed)
{
int idx = 0;
foreach (VstAudioBuffer vab in bufb)
{
Parallel.ForEach(Partitioner.Create(0, samples), range =>
{
for (var i = range.Item1; i < range.Item2; i++)
{
buf[idx][i] = (int)(vab[i] * 32767.0f);
}
});
//for (int i = 0; i < samples; i++)
// buf[idx][i] = (int)(vab[i] * int.MaxValue);
idx++;
}
}
}
}
}
public void ProcessPhoneCalls()
{
var phoneCallsFunc = new PhoneCallsImpl();
DataTable toBeInsertedDataTable;
OleDbDataReader dataReader = null;
var exceptions = new ConcurrentQueue <Exception>();
var column = string.Empty;
var lastImportedPhoneCallDate = DateTime.MinValue;
//OPEN CONNECTIONS
_sourceDbConnector.Open();
_destinationDbConnector.Open();
dataReader = DbRoutines.Executereader(SqLs.GetLastImportedPhonecallDate(_phoneCallsTableName, false),
_destinationDbConnector);
if (dataReader.Read() && !dataReader.IsDBNull(0))
{
lastImportedPhoneCallDate = dataReader.GetDateTime(dataReader.GetOrdinal("SessionIdTime"));
lastImportedPhoneCallDate = lastImportedPhoneCallDate.AddDays(+1);
dataReader.CloseDataReader();
}
else
{
//Table is empty in this case we need to read from the source that we will import the data from
dataReader = DbRoutines.Executereader(SqLs.GetLastImportedPhonecallDate("DialogsView", true),
_sourceDbConnector);
if (dataReader.Read() && !dataReader.IsDBNull(0))
{
lastImportedPhoneCallDate = dataReader.GetDateTime(dataReader.GetOrdinal("SessionIdTime"));
}
dataReader.CloseDataReader();
}
while (lastImportedPhoneCallDate <= DateTime.Now)
{
//Construct CREATE_IMPORT_PHONE_CALLS_QUERY
var sql = SqLs.CreateImportCallsQueryLync2013(lastImportedPhoneCallDate);
if (lastImportedPhoneCallDate > DateTime.MinValue)
{
Console.WriteLine("Importing PhoneCalls from " + _phoneCallsTableName + " since " +
lastImportedPhoneCallDate);
}
else
{
Console.WriteLine("Importing PhoneCalls from " + _phoneCallsTableName + " since the begining");
}
//Read DB and map it to List of PhoneCalls
var phoneCalls =
Db.ReadSqlData(DbRoutines.Executereader(sql, _sourceDbConnector), Db.PhoneCallsSelector).ToList();
if (phoneCalls.Count() > 0)
{
var status = new object();
var partitionsize = Partitioner.Create(0, phoneCalls.Count());
Parallel.ForEach(partitionsize, (range, loopStet) =>
{
for (var i = range.Item1; i < range.Item2; i++)
{
phoneCallsFunc.ProcessPhoneCall(phoneCalls[i]);
}
});
// Bulk insert
toBeInsertedDataTable = phoneCalls.ConvertToDataTable();
toBeInsertedDataTable.BulkInsert(_phoneCallsTableName, _destinationDbConnector.ConnectionString);
toBeInsertedDataTable.Dispose();
Console.WriteLine(" [+] Imported: " + phoneCalls.Count + " phone calls.");
}
// Increment the datetime object by 1 day.
lastImportedPhoneCallDate = lastImportedPhoneCallDate.AddDays(+1);
GC.Collect();
}
//Close All Connection and DataReaders
_sourceDbConnector.Close();
_destinationDbConnector.Close();
if (dataReader.IsClosed == false)
{
dataReader.Close();
}
Console.WriteLine("Finish importing Calls from " + _phoneCallsTableName);
}
public static IEnumerable <object[]> AggregateExceptionData(int[] counts)
{
foreach (object[] results in UnorderedSources.Ranges(counts.Cast <int>()))
{
Labeled <ParallelQuery <int> > query = (Labeled <ParallelQuery <int> >)results[0];
if (query.ToString().StartsWith("Partitioner"))
{
yield return(new object[] { Labeled.Label(query.ToString(), Partitioner.Create(UnorderedSources.GetRangeArray(0, (int)results[1]), false).AsParallel()), results[1] });
}
else if (query.ToString().StartsWith("Enumerable.Range"))
{
yield return(new object[] { Labeled.Label(query.ToString(), new StrictPartitioner <int>(Partitioner.Create(Enumerable.Range(0, (int)results[1]), EnumerablePartitionerOptions.None), (int)results[1]).AsParallel()), results[1] });
}
else
{
yield return(results);
}
}
}
private void SeparateRenderables(RenderContext context, bool invalidateSceneGraph, bool invalidatePerFrameRenderables)
{
Clear(invalidateSceneGraph, invalidatePerFrameRenderables);
if (invalidateSceneGraph)
{
viewportRenderables.AddRange(Viewport.Renderables);
renderer.UpdateSceneGraph(RenderContext, viewportRenderables, perFrameFlattenedScene);
#if DEBUG
Debug.WriteLine("Flatten Scene Graph");
#endif
}
int sceneCount = perFrameFlattenedScene.Count;
if (invalidatePerFrameRenderables)
{
#if DEBUG
Debug.WriteLine("Get PerFrameRenderables");
#endif
bool isInScreenSpacedGroup = false;
int screenSpacedGroupDepth = int.MaxValue;
for (int i = 0; i < sceneCount;)
{
var renderable = perFrameFlattenedScene[i];
renderable.Value.Update(context);
var type = renderable.Value.RenderType;
int depth = renderable.Key;
if (!renderable.Value.IsRenderable)
{
//Skip scene graph depth larger than current node
++i;
for (; i < sceneCount; ++i)
{
if (perFrameFlattenedScene[i].Key <= depth)
{
break;
}
i += perFrameFlattenedScene[i].Value.ItemsInternal.Count;
}
continue;
}
if (renderable.Value.RenderCore.NeedUpdate) // Run update function at the beginning of actual rendering.
{
needUpdateCores.Add(renderable.Value.RenderCore);
}
++i;
// Add node into screen spaced array if the node belongs to a screen spaced group.
if (isInScreenSpacedGroup && depth > screenSpacedGroupDepth)
{
screenSpacedNodes.Add(renderable.Value);
continue;
}
isInScreenSpacedGroup = false;
screenSpacedGroupDepth = int.MaxValue;
switch (type)
{
case RenderType.Opaque:
opaqueNodes.Add(renderable.Value);
break;
case RenderType.Light:
lightNodes.Add(renderable.Value);
break;
case RenderType.Transparent:
transparentNodes.Add(renderable.Value);
break;
case RenderType.Particle:
particleNodes.Add(renderable.Value);
break;
case RenderType.PreProc:
preProcNodes.Add(renderable.Value);
break;
case RenderType.PostProc:
postProcNodes.Add(renderable.Value);
break;
case RenderType.ScreenSpaced:
screenSpacedNodes.Add(renderable.Value);
isInScreenSpacedGroup = true;
screenSpacedGroupDepth = renderable.Key;
break;
}
}
if (RenderConfiguration.EnableRenderOrder)
{
for (int i = 0; i < preProcNodes.Count; ++i)
{
preProcNodes[i].UpdateRenderOrderKey();
}
preProcNodes.Sort();
for (int i = 0; i < opaqueNodes.Count; ++i)
{
opaqueNodes[i].UpdateRenderOrderKey();
}
opaqueNodes.Sort();
for (int i = 0; i < postProcNodes.Count; ++i)
{
postProcNodes[i].UpdateRenderOrderKey();
}
postProcNodes.Sort();
for (int i = 0; i < particleNodes.Count; ++i)
{
particleNodes[i].UpdateRenderOrderKey();
}
particleNodes.Sort();
}
opaquePartitioner = opaqueNodes.Count > 0 ? Partitioner.Create(0, opaqueNodes.Count, FrustumPartitionSize) : null;
transparentPartitioner = transparentNodes.Count > 0 ? Partitioner.Create(0, transparentNodes.Count, FrustumPartitionSize) : null;
SetupFrustumTestFunctions();
}
else
{
for (int i = 0; i < sceneCount;)
{
var renderable = perFrameFlattenedScene[i];
renderable.Value.Update(context);
if (!renderable.Value.IsRenderable)
{
//Skip scene graph depth larger than current node
int depth = renderable.Key;
++i;
for (; i < sceneCount; ++i)
{
if (perFrameFlattenedScene[i].Key <= depth)
{
break;
}
i += perFrameFlattenedScene[i].Value.ItemsInternal.Count;
}
continue;
}
if (renderable.Value.RenderCore.NeedUpdate) // Run update function at the beginning of actual rendering.
{
needUpdateCores.Add(renderable.Value.RenderCore);
}
++i;
}
}
}
