static void Main(string[] args)
{
double MillionD = 1000d * 1000d;
//uint H = 48;
//uint threshold = H - 4;
uint n = 1 << 29;
double requestFraction = 1d;
double f_c = requestFraction / MillionD; // one in a million
double f_u = requestFraction / (50d * MillionD);
string basePath = @"..\..\..\";
// StreamWriter writer = new StreamWriter(basePath + "params_" + H + "_" + Math.Round(1/f_c) + "=" + Math.Round(1/f_u) + ".csv");
BinomialLadderParameters blf64 =
new BinomialLadderParameters(64, n: n);
BinomialLadderParameters blf48 =
new BinomialLadderParameters(48, n: n);
// BinomialLadderParameters blfPIN =
// new BinomialLadderParameters(1 << 19, 1 << 20);
//double[] dist = BinomialLadderParameters.BLFDistribution(1 << 19, 1 << 20);
//double[] cum = new double[dist.Length];
//double total = 0;
//for (int h = dist.Length - 1; h >= 0; h--)
// cum[h] = total += dist[h];
//double middle = dist[(1 << 19)];
//double plus100 = dist[(1 << 19) + 100];
//double plus1000 = dist[(1 << 19) + 1000];
//BinomialLadderParameters blf20 =
// new BinomialLadderParameters(48, n: n);
//blf20.SimulateStochastic(basePath + "BLF_20_Detect_Twenty_Sticky", .05, 100, true);
//blf20.SimulateStochastic(basePath + "BLF_20_Detect_Twenty_Perpetual", .05, 100, false);
//blf64.SimulateStochastic(basePath + "BLF_48_DetectStochastic_OneMillion", (1d / MillionD), 60, false);
//blfPIN.SimulateStochastic(basePath + "BLF_PIN20_Perpetual_Hundred", (1d / 5000), );
Task[] tasks = new Task[]
{
Task.Run(() => blf64.SimulateStochastic(basePath + "BLF_64_Perpetual_Million", (1d / MillionD), 120, false)),
Task.Run(() => blf64.SimulateStochastic(basePath + "BLF_64_Sticky_Million", (1d / MillionD), 120, true)),
Task.Run(() => blf64.SimulateStochastic(basePath + "BLF_64_Perpetual_FiftyMillion", (1d / (50d * MillionD)), 65, false)),
Task.Run(() => blf64.SimulateStochastic(basePath + "BLF_64_Sticky_FiftyMillion", (1d / (50d * MillionD)), 65, true)),
Task.Run(() => blf48.SimulateStochastic(basePath + "BLF_48_Perpetual_Million", (1d / MillionD), 100, false)),
Task.Run(() => blf48.SimulateStochastic(basePath + "BLF_48_Sticky_Million", (1d / MillionD), 100, true)),
Task.Run(() => blf48.SimulateStochastic(basePath + "BLF_48_Perpetual_FiftyMillion", (1d / (50d * MillionD)), 65, false)),
Task.Run(() => blf48.SimulateStochastic(basePath + "BLF_48_Sticky_FiftyMillion", (1d / (50d * MillionD)), 65, true)),
};
Task.WaitAll(tasks);
}
static void Main(string[] args)
{
double MillionD = 1000d*1000d;
//uint H = 48;
//uint threshold = H - 4;
uint n = 1 << 29;
double requestFraction = 1d;
double f_c = requestFraction / MillionD; // one in a million
double f_u = requestFraction / (50d*MillionD);
string basePath = @"..\..\..\";
// StreamWriter writer = new StreamWriter(basePath + "params_" + H + "_" + Math.Round(1/f_c) + "=" + Math.Round(1/f_u) + ".csv");
BinomialLadderParameters blf64 =
new BinomialLadderParameters(64, n: n);
BinomialLadderParameters blf48 =
new BinomialLadderParameters(48, n: n);
// BinomialLadderParameters blfPIN =
// new BinomialLadderParameters(1 << 19, 1 << 20);
//double[] dist = BinomialLadderParameters.BLFDistribution(1 << 19, 1 << 20);
//double[] cum = new double[dist.Length];
//double total = 0;
//for (int h = dist.Length - 1; h >= 0; h--)
// cum[h] = total += dist[h];
//double middle = dist[(1 << 19)];
//double plus100 = dist[(1 << 19) + 100];
//double plus1000 = dist[(1 << 19) + 1000];
//BinomialLadderParameters blf20 =
// new BinomialLadderParameters(48, n: n);
//blf20.SimulateStochastic(basePath + "BLF_20_Detect_Twenty_Sticky", .05, 100, true);
//blf20.SimulateStochastic(basePath + "BLF_20_Detect_Twenty_Perpetual", .05, 100, false);
//blf64.SimulateStochastic(basePath + "BLF_48_DetectStochastic_OneMillion", (1d / MillionD), 60, false);
//blfPIN.SimulateStochastic(basePath + "BLF_PIN20_Perpetual_Hundred", (1d / 5000), );
Task[] tasks = new Task[]
{
Task.Run(() => blf64.SimulateStochastic(basePath + "BLF_64_Perpetual_Million", (1d / MillionD), 120, false)),
Task.Run(() => blf64.SimulateStochastic(basePath + "BLF_64_Sticky_Million", (1d / MillionD), 120, true)),
Task.Run(() => blf64.SimulateStochastic(basePath + "BLF_64_Perpetual_FiftyMillion", (1d / (50d*MillionD)), 65, false)),
Task.Run(() => blf64.SimulateStochastic(basePath + "BLF_64_Sticky_FiftyMillion", (1d / (50d*MillionD)), 65, true)),
Task.Run(() => blf48.SimulateStochastic(basePath + "BLF_48_Perpetual_Million", (1d / MillionD), 100, false)),
Task.Run(() => blf48.SimulateStochastic(basePath + "BLF_48_Sticky_Million", (1d / MillionD), 100, true)),
Task.Run(() => blf48.SimulateStochastic(basePath + "BLF_48_Perpetual_FiftyMillion", (1d / (50d*MillionD)), 65, false)),
Task.Run(() => blf48.SimulateStochastic(basePath + "BLF_48_Sticky_FiftyMillion", (1d / (50d*MillionD)), 65, true)),
};
Task.WaitAll(tasks);
}