C# random code example
Example 1: c# random
Random rnd = new Random();
for (int ctr = 0; ctr < 10; ctr++) {
Console.Write("{0,-19:R} ", rnd.NextDouble());
if ((ctr + 1) % 3 == 0) Console.WriteLine();
}
// The example displays output like the following:
// 0.7911680553998649 0.0903414949264105 0.79776258291572455
// 0.615568345233597 0.652644504165577 0.84023809378977776
// 0.099662564741290441 0.91341467383942321 0.96018602045261581
// 0.74772306473354022Example 2: c# random
using System;
using System.Collections.Generic;
using System.Threading;
using System.Threading.Tasks;
public class Example
{
static Object randLock, numericLock;
static Random rand;
static CancellationTokenSource source;
double totalValue = 0.0;
int totalCount = 0;
public Example()
{
rand = new Random();
randLock = new Object();
numericLock = new Object();
source = new CancellationTokenSource();
}
public static async Task Main()
{
Example ex = new Example();
Thread.CurrentThread.Name = "Main";
await ex.Execute();
}
private Task Execute()
{
List<Task> tasks = new List<Task>();
for (int ctr = 0; ctr <= 10; ctr++)
{
CancellationToken token = source.Token;
int taskNo = ctr;
tasks.Add(Task.Run( () =>
{
double previous = 0.0;
int taskCtr = 0;
double taskTotal = 0.0;
double result = 0.0;
for (int n = 0; n < 2000000; n++)
{
// Make sure there's no corruption of Random.
token.ThrowIfCancellationRequested();
lock (randLock) {
result = rand.NextDouble();
}
// Check for corruption of Random instance.
if ((result == previous) && result == 0) {
source.Cancel();
}
else {
previous = result;
}
taskCtr++;
taskTotal += result;
}
// Show result.
Console.WriteLine("Task {0} finished execution.", taskNo);
Console.WriteLine("Random numbers generated: {0:N0}", taskCtr);
Console.WriteLine("Sum of random numbers: {0:N2}", taskTotal);
Console.WriteLine("Random number mean: {0:N4}\n", taskTotal/taskCtr);
// Update overall totals.
lock (numericLock) {
totalCount += taskCtr;
totalValue += taskTotal;
}
},
token));
}
try {
await Task.WhenAll(tasks.ToArray());
Console.WriteLine("\nTotal random numbers generated: {0:N0}", totalCount);
Console.WriteLine("Total sum of all random numbers: {0:N2}", totalValue);
Console.WriteLine("Random number mean: {0:N4}", totalValue/totalCount);
}
catch (AggregateException e) {
foreach (Exception inner in e.InnerExceptions) {
TaskCanceledException canc = inner as TaskCanceledException;
if (canc != null)
Console.WriteLine("Task #{0} cancelled.", canc.Task.Id);
else
Console.WriteLine("Exception: {0}", inner.GetType().Name);
}
}
finally {
source.Dispose();
}
}
}
// The example displays output like the following:
// Task 1 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 1,000,502.47
// Random number mean: 0.5003
//
// Task 0 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 1,000,445.63
// Random number mean: 0.5002
//
// Task 2 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 1,000,556.04
// Random number mean: 0.5003
//
// Task 3 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 1,000,178.87
// Random number mean: 0.5001
//
// Task 4 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 999,819.17
// Random number mean: 0.4999
//
// Task 5 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 1,000,190.58
// Random number mean: 0.5001
//
// Task 6 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 999,720.21
// Random number mean: 0.4999
//
// Task 7 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 999,000.96
// Random number mean: 0.4995
//
// Task 8 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 999,499.33
// Random number mean: 0.4997
//
// Task 9 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 1,000,193.25
// Random number mean: 0.5001
//
// Task 10 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 999,960.82
// Random number mean: 0.5000
//
//
// Total random numbers generated: 22,000,000
// Total sum of all random numbers: 11,000,067.33
// Random number mean: 0.5000Example 3: c# random
Random rnd = new Random();
for (int ctr = 1; ctr <= 50; ctr++) {
Console.Write("{0,3} ", rnd.Next(1000, 10000));
if(ctr % 10 == 0) Console.WriteLine();
}
// The example displays output like the following:
// 9570 8979 5770 1606 3818 4735 8495 7196 7070 2313
// 5279 6577 5104 5734 4227 3373 7376 6007 8193 5540
// 7558 3934 3819 7392 1113 7191 6947 4963 9179 7907
// 3391 6667 7269 1838 7317 1981 5154 7377 3297 5320
// 9869 8694 2684 4949 2999 3019 2357 5211 9604 2593Example 4: c# random
Random rnd = new Random();
for (int ctr = 1; ctr <= 15; ctr++) {
Console.Write("{0,3} ", rnd.Next(-10, 11));
if(ctr % 5 == 0) Console.WriteLine();
}
// The example displays output like the following:
// -2 -5 -1 -2 10
// -3 6 -4 -8 3
// -7 10 5 -2 4Example 5: c# random
Random rnd = new Random();
for (int ctr = 1; ctr <= 10; ctr++)
Console.WriteLine(rnd.NextDouble() - 1);
// The example displays output like the following:
// -0.930412760437658
// -0.164699016215605
// -0.9851692803135
// -0.43468508843085
// -0.177202483255976
// -0.776813320245972
// -0.0713201854710096
// -0.0912875561468711
// -0.540621722368813
// -0.232211863730201Example 6: c# random
using System;
using System.IO;
public class Example
{
public static void Main()
{
int seed = 100100;
ShowRandomNumbers(seed);
Console.WriteLine();
PersistSeed(seed);
DisplayNewRandomNumbers();
}
private static void ShowRandomNumbers(int seed)
{
Random rnd = new Random(seed);
for (int ctr = 0; ctr <= 20; ctr++)
Console.WriteLine(rnd.NextDouble());
}
private static void PersistSeed(int seed)
{
FileStream fs = new FileStream(@".\seed.dat", FileMode.Create);
BinaryWriter bin = new BinaryWriter(fs);
bin.Write(seed);
bin.Close();
}
private static void DisplayNewRandomNumbers()
{
FileStream fs = new FileStream(@".\seed.dat", FileMode.Open);
BinaryReader bin = new BinaryReader(fs);
int seed = bin.ReadInt32();
bin.Close();
Random rnd = new Random(seed);
for (int ctr = 0; ctr <= 20; ctr++)
Console.WriteLine(rnd.NextDouble());
}
}
// The example displays output like the following:
// 0.500193602172748
// 0.0209461245783354
// 0.465869495396442
// 0.195512794514891
// 0.928583675496552
// 0.729333720509584
// 0.381455668891527
// 0.0508996467343064
// 0.019261200921266
// 0.258578445417145
// 0.0177532266908107
// 0.983277184415272
// 0.483650274334313
// 0.0219647376900375
// 0.165910115077118
// 0.572085966622497
// 0.805291457942357
// 0.927985211335116
// 0.4228545699375
// 0.523320379910674
// 0.157783938645285
//
// 0.500193602172748
// 0.0209461245783354
// 0.465869495396442
// 0.195512794514891
// 0.928583675496552
// 0.729333720509584
// 0.381455668891527
// 0.0508996467343064
// 0.019261200921266
// 0.258578445417145
// 0.0177532266908107
// 0.983277184415272
// 0.483650274334313
// 0.0219647376900375
// 0.165910115077118
// 0.572085966622497
// 0.805291457942357
// 0.927985211335116
// 0.4228545699375
// 0.523320379910674
// 0.157783938645285Example 7: c# random
const long ONE_TENTH = 922337203685477581;
Random rnd = new Random();
double number;
int[] count = new int[10];
// Generate 20 million integer values between.
for (int ctr = 1; ctr <= 20000000; ctr++) {
number = rnd.NextDouble() * Int64.MaxValue;
// Categorize random numbers into 10 groups.
count[(int) (number / ONE_TENTH)]++;
}
// Display breakdown by range.
Console.WriteLine("{0,28} {1,32} {2,7}\n", "Range", "Count", "Pct.");
for (int ctr = 0; ctr <= 9; ctr++)
Console.WriteLine("{0,25:N0}-{1,25:N0} {2,8:N0} {3,7:P2}", ctr * ONE_TENTH,
ctr < 9 ? ctr * ONE_TENTH + ONE_TENTH - 1 : Int64.MaxValue,
count[ctr], count[ctr]/20000000.0);
// The example displays output like the following:
// Range Count Pct.
//
// 0- 922,337,203,685,477,580 1,996,148 9.98 %
// 922,337,203,685,477,581-1,844,674,407,370,955,161 2,000,293 10.00 %
// 1,844,674,407,370,955,162-2,767,011,611,056,432,742 2,000,094 10.00 %
// 2,767,011,611,056,432,743-3,689,348,814,741,910,323 2,000,159 10.00 %
// 3,689,348,814,741,910,324-4,611,686,018,427,387,904 1,999,552 10.00 %
// 4,611,686,018,427,387,905-5,534,023,222,112,865,485 1,998,248 9.99 %
// 5,534,023,222,112,865,486-6,456,360,425,798,343,066 2,000,696 10.00 %
// 6,456,360,425,798,343,067-7,378,697,629,483,820,647 2,001,637 10.01 %
// 7,378,697,629,483,820,648-8,301,034,833,169,298,228 2,002,870 10.01 %
// 8,301,034,833,169,298,229-9,223,372,036,854,775,807 2,000,303 10.00 %Example 8: c# random
Random rnd = new Random();
for (int ctr = 0; ctr < 10; ctr++) {
Console.Write("{0,3} ", rnd.Next(-10, 11));
}
// The example displays output like the following:
// 2 9 -3 2 4 -7 -3 -8 -8 5Example 9: c# random
Random rnd = new Random();
Byte[] bytes = new Byte[20];
rnd.NextBytes(bytes);
for (int ctr = 1; ctr <= bytes.Length; ctr++) {
Console.Write("{0,3} ", bytes[ctr - 1]);
if (ctr % 10 == 0) Console.WriteLine();
}
// The example displays output like the following:
// 141 48 189 66 134 212 211 71 161 56
// 181 166 220 133 9 252 222 57 62 62Example 10: c# random
using System;
using System.Threading;
public class Example
{
public static void Main()
{
Console.WriteLine("Instantiating two random number generators...");
Random rnd1 = new Random();
Thread.Sleep(2000);
Random rnd2 = new Random();
Console.WriteLine("\nThe first random number generator:");
for (int ctr = 1; ctr <= 10; ctr++)
Console.WriteLine(" {0}", rnd1.Next());
Console.WriteLine("\nThe second random number generator:");
for (int ctr = 1; ctr <= 10; ctr++)
Console.WriteLine(" {0}", rnd2.Next());
}
}
// The example displays output like the following:
// Instantiating two random number generators...
//
// The first random number generator:
// 643164361
// 1606571630
// 1725607587
// 2138048432
// 496874898
// 1969147632
// 2034533749
// 1840964542
// 412380298
// 47518930
//
// The second random number generator:
// 1251659083
// 1514185439
// 1465798544
// 517841554
// 1821920222
// 195154223
// 1538948391
// 1548375095
// 546062716
// 897797880