how to make a random number c# code example
Example 1: c# random int
Random rnd = new Random();
int number = rnd.Next(1, 10);Example 2: c# random number
int random_number = new Random().Next(1, 10) // Generates a number between 1 to 10Example 3: get random number c#
Random rnd = new Random();
int month = rnd.Next(1, 13); // creates a number between 1 and 12
int dice = rnd.Next(1, 7); // creates a number between 1 and 6
int card = rnd.Next(52); // creates a number between 0 and 51Example 4: how to generate random numbers in c#
//works in visual studio for unity
int randomNumber = UnityEngine.Random.Range(1, 100); //Random number between 1 and 99Example 5: 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 6: c# random
using System;
using System.Threading;
public class Example
{
[ThreadStatic] static double previous = 0.0;
[ThreadStatic] static int perThreadCtr = 0;
[ThreadStatic] static double perThreadTotal = 0.0;
static CancellationTokenSource source;
static CountdownEvent countdown;
static Object randLock, numericLock;
static Random rand;
double totalValue = 0.0;
int totalCount = 0;
public Example()
{
rand = new Random();
randLock = new Object();
numericLock = new Object();
countdown = new CountdownEvent(1);
source = new CancellationTokenSource();
}
public static void Main()
{
Example ex = new Example();
Thread.CurrentThread.Name = "Main";
ex.Execute();
}
private void Execute()
{
CancellationToken token = source.Token;
for (int threads = 1; threads <= 10; threads++)
{
Thread newThread = new Thread(this.GetRandomNumbers);
newThread.Name = threads.ToString();
newThread.Start(token);
}
this.GetRandomNumbers(token);
countdown.Signal();
// Make sure all threads have finished.
countdown.Wait();
source.Dispose();
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);
}
private void GetRandomNumbers(Object o)
{
CancellationToken token = (CancellationToken) o;
double result = 0.0;
countdown.AddCount(1);
try {
for (int ctr = 0; ctr < 2000000; ctr++)
{
// 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;
}
perThreadCtr++;
perThreadTotal += result;
}
Console.WriteLine("Thread {0} finished execution.",
Thread.CurrentThread.Name);
Console.WriteLine("Random numbers generated: {0:N0}", perThreadCtr);
Console.WriteLine("Sum of random numbers: {0:N2}", perThreadTotal);
Console.WriteLine("Random number mean: {0:N4}\n", perThreadTotal/perThreadCtr);
// Update overall totals.
lock (numericLock) {
totalCount += perThreadCtr;
totalValue += perThreadTotal;
}
}
catch (OperationCanceledException e) {
Console.WriteLine("Corruption in Thread {1}", e.GetType().Name, Thread.CurrentThread.Name);
}
finally {
countdown.Signal();
}
}
}
// The example displays output like the following:
// Thread 6 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 1,000,491.05
// Random number mean: 0.5002
//
// Thread 10 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 999,329.64
// Random number mean: 0.4997
//
// Thread 4 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 1,000,166.89
// Random number mean: 0.5001
//
// Thread 8 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 999,628.37
// Random number mean: 0.4998
//
// Thread Main finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 999,920.89
// Random number mean: 0.5000
//
// Thread 3 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 999,370.45
// Random number mean: 0.4997
//
// Thread 7 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 999,330.92
// Random number mean: 0.4997
//
// Thread 9 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 1,000,172.79
// Random number mean: 0.5001
//
// Thread 5 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 1,000,079.43
// Random number mean: 0.5000
//
// Thread 1 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 999,817.91
// Random number mean: 0.4999
//
// Thread 2 finished execution.
// Random numbers generated: 2,000,000
// Sum of random numbers: 999,930.63
// Random number mean: 0.5000
//
//
// Total random numbers generated: 22,000,000
// Total sum of all random numbers: 10,998,238.98
// Random number mean: 0.4999