Пример #1
0
        /// <summary>
        /// </summary>
        /// <param name="seed"></param>
        internal SimEnvironment(int seed)
        {
            // We add a dummy timeout event and a dummy process, so that heaps are never empty. They
            // have the maximum priority available, since they never have to be called.
            const double maxPr  = double.PositiveInfinity;
            const ulong  maxVer = ulong.MaxValue;
            var          dummyP = new SimProcess(this, DummyProcess())
            {
                At = maxPr, Version = maxVer
            };
            var dummyEv = new Dummy(this)
            {
                At = maxPr, Version = maxVer
            };

            _processes = new OptimizedSkewHeap(dummyP);
            _events    = new OptimizedSkewHeap(dummyEv);
            Random     = TRandom.New(new MT19937Generator(seed));
            EndEvent   = new Dummy(this);
        }
Пример #2
0
        public static void Main()
        {
            // 1) Use SuperSillyGenerator to generate a few numbers.
            Console.WriteLine("Super silly generator in action!");
            var ssg = new SuperSillyGenerator(21U);

            foreach (var x in ssg.Doubles().Take(5))
            {
                Console.WriteLine(x);
            }

            Console.WriteLine();

            // 2) Use SuperSillyContinuousDistribution to generate a few numbers.
            Console.WriteLine("Super silly distribution in action!");
            var ssd = new SuperSillyContinuousDistribution(ssg);

            Console.WriteLine(ssd.NextDouble());
            Console.WriteLine(ssd.NextDouble());
            Console.WriteLine(ssd.NextDouble());

            Console.WriteLine();

            // 3) Use SuperSillyGenerator with a normal distribution.
            Console.WriteLine("Super silly generator with a normal distribution");
            var normal = new NormalDistribution(ssg, 0, 1);

            Console.WriteLine(normal.NextDouble());
            Console.WriteLine(normal.NextDouble());
            Console.WriteLine(normal.NextDouble());

            Console.WriteLine();

            // 4) Change the core logic of normal distribution with a... Silly one.
            Console.WriteLine("Super silly redefinition of a normal distribution");
            NormalDistribution.Sample = (generator, mu, sigma) =>
            {
                // Silly method!!!
                return(generator.NextDouble() + mu + sigma + mu * sigma);
            };
            Console.WriteLine(normal.NextDouble());
            Console.WriteLine(normal.NextDouble());
            Console.WriteLine(normal.NextDouble());

            Console.WriteLine();

            // 5) Use the new logic, even through TRandom.
            Console.WriteLine("Super silly redefinition of a normal distribution - via TRandom");
            var trandom = TRandom.New();

            Console.WriteLine(trandom.Normal(5, 0.5));
            Console.WriteLine(trandom.Normal(5, 0.5));
            Console.WriteLine(trandom.Normal(5, 0.5));

            Console.WriteLine();

            // 6) Use the extension method you defined for SuperSillyContinuousDistribution.
            Console.WriteLine("Super silly distribution via TRandom");
            Console.WriteLine(trandom.SuperSilly());
            Console.WriteLine(trandom.SuperSilly());
            Console.WriteLine(trandom.SuperSilly());
        }