(int sampleSize, int maxVal) => wH2006.NextInt32s(sampleSize, 0, maxVal); //array of random numbers
        public static void Shuffle <T>(this WH2006 rng, T[] array)                    // shuflling data // Fisher - Yates Algorithms
        {
            int n = array.Length;

            while (n > 1)
            {
                int k    = rng.Next(n--);
                T   temp = array[n];
                array[n] = array[k];
                array[k] = temp;
            }
        }
        private static IList <double> GetTrialRandomNumbers(uint numTrials, Range range)
        {
            var rnd = new WH2006(RandomSeed.Robust());

            // adds equally-separated values
            var trialNumbers = new List <double>();
            var interval     = range.Interval / numTrials;

            for (var i = 0; i < numTrials; i++)
            {
                trialNumbers.Add(range.Min + i * interval);
            }
            trialNumbers.Shuffle(rnd);
            return(trialNumbers);
        }
Beispiel #3
0
        public static Scene testScene_featuressimulation(double distmean, double diststd, int features)
        {
            var r = new Scene();
            var c = new PinholeCamera(CameraIntrinsics.GOPROHERO3_BROWNR3_AFGEROND_EXTRADIST);

            r.Add(c);
            Random rand = new WH2006();

            for (int i = 0; i < features; i++)
            {
                var sensorx = rand.NextDouble() * c.Intrinsics.PictureSize.Width;
                var sensory = rand.NextDouble() * c.Intrinsics.PictureSize.Height;
                var dist    = Util.NextGaussian(distmean, diststd);
                r.Add(CreateFeatureFromCamera(c, sensorx, sensory, dist, i));
            }
            return(r);
        }
Beispiel #4
0
        /// <summary>
        /// Run example
        /// </summary>
        /// <seealso cref="http://en.wikipedia.org/wiki/Random_number_generation">Random number generation</seealso>
        /// <seealso cref="http://en.wikipedia.org/wiki/Linear_congruential_generator">Linear congruential generator</seealso>
        /// <seealso cref="http://en.wikipedia.org/wiki/Mersenne_twister">Mersenne twister</seealso>
        /// <seealso cref="http://en.wikipedia.org/wiki/Lagged_Fibonacci_generator">Lagged Fibonacci generator</seealso>
        /// <seealso cref="http://en.wikipedia.org/wiki/Xorshift">Xorshift</seealso>
        public void Run()
        {
            // All RNG classes in MathNet have next counstructors:
            // - RNG(int seed, bool threadSafe): initializes a new instance with specific seed value and thread safe property
            // - RNG(int seed): iуууnitializes a new instance with specific seed value. Thread safe property is set to Control.ThreadSafeRandomNumberGenerators
            // - RNG(bool threadSafe) : initializes a new instance with the seed value set to DateTime.Now.Ticks and specific thread safe property
            // - RNG(bool threadSafe) : initializes a new instance with the seed value set to DateTime.Now.Ticks and thread safe property set to Control.ThreadSafeRandomNumberGenerators

            // All RNG classes in MathNet have next methods to produce random values:
            // - double[] NextDouble(int n): returns an "n"-size array of uniformly distributed random doubles in the interval [0.0,1.0];
            // - int Next(): returns a nonnegative random number;
            // - int Next(int maxValue): returns a random number less then a specified maximum;
            // - int Next(int minValue, int maxValue): returns a random number within a specified range;
            // - void NextBytes(byte[] buffer): fills the elements of a specified array of bytes with random numbers;

            // All RNG classes in MathNet have next extension methods to produce random values:
            // - long NextInt64(): returns a nonnegative random number less than "Int64.MaxValue";
            // - int NextFullRangeInt32(): returns a random number of the full Int32 range;
            // - long NextFullRangeInt64(): returns a random number of the full Int64 range;
            // - decimal NextDecimal(): returns a nonnegative decimal floating point random number less than 1.0;

            // 1. Multiplicative congruential generator using a modulus of 2^31-1 and a multiplier of 1132489760
            var mcg31M1 = new Mcg31m1(1);

            Console.WriteLine(@"1. Generate 10 random double values using Multiplicative congruential generator with a modulus of 2^31-1 and a multiplier of 1132489760");
            var randomValues = mcg31M1.NextDouble(10);

            for (var i = 0; i < randomValues.Length; i++)
            {
                Console.Write(randomValues[i].ToString("N") + @" ");
            }

            Console.WriteLine();
            Console.WriteLine();

            // 2. Multiplicative congruential generator using a modulus of 2^59 and a multiplier of 13^13
            var mcg59 = new Mcg59(1);

            Console.WriteLine(@"2. Generate 10 random integer values using Multiplicative congruential generator with a modulus of 2^59 and a multiplier of 13^13");
            for (var i = 0; i < 10; i++)
            {
                Console.Write(mcg59.Next() + @" ");
            }

            Console.WriteLine();
            Console.WriteLine();

            // 3. Random number generator using Mersenne Twister 19937 algorithm
            var mersenneTwister = new MersenneTwister(1);

            Console.WriteLine(@"3. Generate 10 random integer values less then 100 using Mersenne Twister 19937 algorithm");
            for (var i = 0; i < 10; i++)
            {
                Console.Write(mersenneTwister.Next(100) + @" ");
            }

            Console.WriteLine();
            Console.WriteLine();

            // 4. Multiple recursive generator with 2 components of order 3
            var mrg32K3A = new Mrg32k3a(1);

            Console.WriteLine(@"4. Generate 10 random integer values in range [50;100] using multiple recursive generator with 2 components of order 3");
            for (var i = 0; i < 10; i++)
            {
                Console.Write(mrg32K3A.Next(50, 100) + @" ");
            }

            Console.WriteLine();
            Console.WriteLine();

            // 5. Parallel Additive Lagged Fibonacci pseudo-random number generator
            var palf = new Palf(1);

            Console.WriteLine(@"5. Generate 10 random bytes using Parallel Additive Lagged Fibonacci pseudo-random number generator");
            var bytes = new byte[10];

            palf.NextBytes(bytes);
            for (var i = 0; i < bytes.Length; i++)
            {
                Console.Write(bytes[i] + @" ");
            }

            Console.WriteLine();
            Console.WriteLine();

            // 6. A random number generator based on the "System.Security.Cryptography.RandomNumberGenerator" class in the .NET library
            var systemCryptoRandomNumberGenerator = new SystemCryptoRandomNumberGenerator();

            Console.WriteLine(@"6. Generate 10 random decimal values using RNG based on the 'System.Security.Cryptography.RandomNumberGenerator'");
            for (var i = 0; i < 10; i++)
            {
                Console.Write(systemCryptoRandomNumberGenerator.NextDecimal().ToString("N") + @" ");
            }

            Console.WriteLine();
            Console.WriteLine();

            // 7. Wichmann-Hill’s 1982 combined multiplicative congruential generator
            var rngWh1982 = new WH1982();

            Console.WriteLine(@"7. Generate 10 random full Int32 range values using Wichmann-Hill’s 1982 combined multiplicative congruential generator");
            for (var i = 0; i < 10; i++)
            {
                Console.Write(rngWh1982.NextFullRangeInt32() + @" ");
            }

            Console.WriteLine();
            Console.WriteLine();

            // 8. Wichmann-Hill’s 2006 combined multiplicative congruential generator.
            var rngWh2006 = new WH2006();

            Console.WriteLine(@"8. Generate 10 random full Int64 range values using Wichmann-Hill’s 2006 combined multiplicative congruential generator");
            for (var i = 0; i < 10; i++)
            {
                Console.Write(rngWh2006.NextFullRangeInt32() + @" ");
            }

            Console.WriteLine();
            Console.WriteLine();

            // 9. Multiply-with-carry Xorshift pseudo random number generator
            var xorshift = new Xorshift();

            Console.WriteLine(@"9. Generate 10 random nonnegative values less than Int64.MaxValue using Multiply-with-carry Xorshift pseudo random number generator");
            for (var i = 0; i < 10; i++)
            {
                Console.Write(xorshift.NextInt64() + @" ");
            }

            Console.WriteLine();
        }
Beispiel #5
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 public void StaticSamplesConsistent()
 {
     Assert.That(WH2006.Doubles(1000, 1), Is.EqualTo(new WH2006(1).NextDoubles(1000)).Within(1e-12).AsCollection);
 }
Beispiel #6
0
        public void Generate()
        {
            DataBaseFactory.UserNameOverride = Data.DatabaseName;
            if (File.Exists(DataBaseFactory.DatabasePath))
            {
                File.Delete(DataBaseFactory.DatabasePath);
            }

            PaperFormat[] formats =
            {
                new PaperFormat(50, 100),
                new PaperFormat(50,  70),
                new PaperFormat(30,  45),
                new PaperFormat(20,  30),
            };

            RandomSource random     = new WH2006(false);
            DoubleRundom iterations = new DoubleRundom(random, 1, 10);
            DoubleRundom speed      = new DoubleRundom(random, 0, 10);
            SpeedNotes   speedNotes = new SpeedNotes("Speed.Notes");

            _iterationTime = new DoubleRundom(random, 5, 20);
            _setupTime     = new DoubleRundom(random, 10, 120);

            double[] quarterMultipler =
            {
                1.0,
                0.5,
                1.5,
                2.0
            };

            int compledAmount = Data.ToGenerate * 4;
            int currentAmount = 0;
            int error         = 0;


            DateTime datetime = DateTime.Now;

            for (int i = 0; i < compledAmount; i++)
            {
                if (datetime.Hour > 16)
                {
                    int toZero = 24 - datetime.Hour;

                    datetime += TimeSpan.FromHours(toZero + 7);
                }

                int currentQuater;
                if (datetime.Month <= 3)
                {
                    currentQuater = 0;
                }
                else if (datetime.Month <= 6)
                {
                    currentQuater = 1;
                }
                else if (datetime.Month <= 9)
                {
                    currentQuater = 2;
                }
                else
                {
                    currentQuater = 3;
                }

                var realIterations = iterations.Next();
                var realamount     = random.Next(100, 10000);
                var realSpeed      = speedNotes.CalculateSpeed(speed.Next() >= 5 ? 15 : 4);
                var realformat     = formats[random.Next(0, 3)];
                var realtime       = CalculateTime(realamount, realSpeed, realIterations, quarterMultipler[currentQuater], realformat, out var realProblem, out var realBigProblem,
                                                   out var iterationMinutes, out var setupMinutes);

                SaveInput input = new SaveInput(realamount, realIterations, realProblem, realBigProblem, realformat, realSpeed, datetime, realtime, iterationMinutes, setupMinutes);

                datetime += realtime;

                var result = BusinessRules.Save.Action(input);
                if (!result.Succsess)
                {
                    error++;
                }

                ProgressAction(new Progress {
                    Amount = compledAmount, Generated = currentAmount, Errors = error
                });

                currentAmount++;
            }
        }