static void Main(string[] args)
{
//Simple Simulation
//Samples.SimpleSimulation ss = new Samples.SimpleSimulation();
//ss.run();
/////////
//Simple Decide
//Samples.SimpleDecide sd = new Samples.SimpleDecide();
//sd.run();
/////////
//Simple Shared Queue
//Samples.SimpleSharedQueue ssd = new Samples.SimpleSharedQueue();
//for (int i = 0; i <= 20;i++ )
// ssd.run();
//Able and Baker
//Samples.AbleBaker ab = new Samples.AbleBaker();
//ab.run();
///////
//Chain Maybe
//Samples.Chain chain = new Samples.Chain();
//chain.run();
///////
//Inventory Sample
//Samples.InventorySample inv = new Samples.InventorySample();
//Dictionary<string, int> dict = new Dictionary<string, int>();
//for (int i = 0; i < 15; i++)
// dict.Add((20 * i).ToString() + "-" + (20 * (i + 1)).ToString(), 0);
//List<string> keys = dict.Keys.ToList();
//double sum = 0;
//for (int i = 0; i < 400; i++)
//{
// double a = inv.run();
// sum += a;
// int j = (int)a / 20;
// dict[keys[j]] = dict[keys[j]] + 1;
//}
//sum = sum / 400;
//Samples.SimpleProbShare sps = new Samples.SimpleProbShare();
//sps.run();
//Console.Read();
//
for (int i = 0; i <= 20; i++)
{
Uniform un = new Uniform(0.86, 1.56);
Console.WriteLine(un.NextDouble());
}
Console.ReadLine();
}
public Discrete(List<long> values, List<double> cumulative_probabilities, int seed)
: base(seed)
{
if (values.Count != cumulative_probabilities.Count)
throw new Exception("Values and Probabilities sizes are different");
Probabilitieslong = new List<Tuple<long, double>>();
double last_prob = 0;
for (int i = 0; i < values.Count; i++)
{
if (cumulative_probabilities[i] <= last_prob)
throw new Exception("Probabilities are not in correct format");
Probabilitieslong.Add(new Tuple<long, double>(values[i], cumulative_probabilities[i]));
}
Uni_Rand = new Uniform(0, 1, seed);
}
