public Transact Generate()
{
Time += _rand.Next();
return(new Transact {
Time = Time, Status = TransactStatus.Prepared
});
}
public bool ProcessTransact(Transact transact)
{
if (transact.Status == TransactStatus.Prepared)
{
transact.Status = TransactStatus.Processed;
EnQueueTransact(transact);
return(true);
}
if (transact.Status == TransactStatus.ReProc)
{
transact.Time += _rand.Next();
transact.Status = TransactStatus.Processed;
transact.Device = CompSystem.Processor;
transact.Device.EnQueueTransact(transact);
return(true);
}
if (transact.Status == TransactStatus.Finished)
{
transact.Status = TransactStatus.Released;
ReleaseBlock();
Time = transact.Time;
return(true);
}
if (TakeBlock())
{
DeQueueTransact(transact);
transact.Device = CompSystem.Processor;
transact.Device.EnQueueTransact(transact);
return(true);
}
else
{
if (transact.Time < Time)
{
transact.Time = Time;
}
transact.Status = TransactStatus.Waiting;
return(false);
}
}
public void CheckOrderStatistics03()
{
double lower = -10;
double upper = 0;
UniformRandom rand = new UniformRandom(lower, upper, new Random());
double[] values = new double[maxNumbers];
for (int i = 0; i < maxNumbers; i++)
{
values[i] = rand.Next();
Assert.LessOrEqual(lower, values[i], "The value should be higher than lower");
Assert.GreaterOrEqual(upper, values[i], "The value should be lower than higher");
}
double average = values.Average();
Assert.AreEqual((lower + upper) / 2, average, tolerance * 10);
double sumOfSquaresOfDifferences = values.Select(val => (val - average) * (val - average)).Sum();
double variance = sumOfSquaresOfDifferences / values.Length;
Assert.AreEqual((upper - lower) * (upper - lower) / 12, variance, tolerance);
}
static void Main(string[] args)
{
Console.WriteLine("Exponential Random:\n");
Console.Write("Enter lambda: ");
string lambdaLine = Console.ReadLine();
IRandom random = new ExponentialRandom();
if (double.TryParse(lambdaLine, out double lambda))
{
random = new ExponentialRandom(lambda);
}
List <double> list = new List <double>(10000);
for (int i = 0; i < 10000; i++)
{
list.Add(random.Next());
}
Show(list);
random.DistributionStatistics();
DistributionStatistics(list);
Console.WriteLine(" chi-square: " + random.IndificateDistributionLaw(list).ToString("F3"));
Console.WriteLine("\nUniform Random:\n");
random = new UniformRandom();
list = new List <double>(10000);
for (int i = 0; i < 10000; i++)
{
list.Add(random.Next());
}
Show(list);
random.DistributionStatistics();
DistributionStatistics(list);
Console.WriteLine(" chi-square: " + random.IndificateDistributionLaw(list).ToString("F3"));
Console.WriteLine("\nGauss Random:\n");
Console.Write("Enter sigma: ");
string sigmaLine = Console.ReadLine();
Console.Write("Enter alpha: ");
string alphaLine = Console.ReadLine();
random = new GaussRandom();
if (double.TryParse(sigmaLine, out double sigma) && double.TryParse(alphaLine, out double alpha))
{
random = new GaussRandom(sigma, alpha);
}
list = new List <double>(10000);
for (int i = 0; i < 10000; i++)
{
list.Add(random.Next());
}
Show(list);
random.DistributionStatistics();
DistributionStatistics(list);
Console.WriteLine(" chi-square: " + random.IndificateDistributionLaw(list).ToString("F3"));
Console.WriteLine("\nPress any key to continue...");
Console.ReadKey();
}
