I need to generate random numbers with range for byte
, ushort
, sbyte
, short
, int
, and uint
. I am ab
Or is there an easy way to generate a true random uint?
I admit, it's not the OQ. It will become clear that there are faster ways to generate random uints which are not true ones. Nevertheless I assume that nobody is too interested in generating those, except when a non-flat distribution is needed for some reason. Let's start with some research to get it easy and fast in C#. Easy and fast often behave like synonyms when I write code.
See MSDN.
Random
constructors:
Random()
: Initializes a new instance of the Random
class, using a time-dependent default seed value.Random(int seed)
: Initializes a new instance of the Random
class, using the specified seed value.To improve performance, create one Random
object to generate many random numbers over time, instead of repeatedly creating new Random
objects to generate one random number, so:
private static Random rand = new Random();
Random
methods:
rand.Next()
: Returns a positive random number, greater than or equal to zero, less than int.MaxValue
.rand.Next(int max)
: Returns a positive random number, greater than or equal to zero, less then max, max must be greater than or equal to zero.rand.Next(int min, int max)
: Returns a positive random number, greater than or equal to min, less then max, max must be greater than or equal to min.Homework shows that rand.Next()
is about twice as fast as rand.Next(int max)
.
Suppose a positive int has only two bits, forget the sign bit, it's zero, rand.Next()
returns three different values with equal probability:
00
01
10
For a true random number the lowest bit is zero as often as it is one, same for the highest bit.
To make it work for the lowest bit use: rand.Next(2)
Suppose an int has three bits, rand.Next()
returns seven different values:
000
001
010
011
100
101
110
To make it work for the lowest two bits use: rand.Next(4)
Suppose an int has n bits.
To make it work for n bits use: rand.Next(1 << n)
To make it work for a maximum of 30 bits use: rand.Next(1 << 30)
It's the maximum, 1 << 31 is larger than int.MaxValue
.
Which leads to a way to generate a true random uint:
private static uint rnd32()
{
return (uint)(rand.Next(1 << 30)) << 2 | (uint)(rand.Next(1 << 2));
}
A quick check: What's the chance to generate zero?
1 << 2 = 4 = 22, 1 << 30 = 230
The chance for zero is: 1/22 * 1/230 = 1/232
The total number of uints, including zero: 232
It's as clear as daylight, no smog alert, isn't it?
Is it possible to do it faster using rand.Next()
int.Maxvalue is: (2^31)-1
The largest value rand.Next() returns is: (2^31)-2
uint.MaxValue is: (2^32)-1
When rand.Next()
is used twice and the results are added, the largest possible value is:
2*((2^31)-2) = (2^32)-4
The difference with uint.MaxValue is:
(2^32)-1 - ((2^32)-4) = 3
To reach uint.MaxValue
, another value, rand.Next(4)
has to be added, thus we get:
rand.Next() + rand.Next() + rand.Next(4)
What's the chance to generate zero?
Aproximately: 1/231 * 1/231 * 1/4 = 1/264, it should be 1/232
Wait a second, what about:
2 * rand.Next() + rand.Next(4)
Again, what's the chance to generate zero?
Aproximately: 1/231 * 1/4 = 1/233, too small to be truly random.
Another easy example:
rand.Next(2) + rand.Next(2)
, all possible results:
0 + 0 = 0
0 + 1 = 1
1 + 0 = 1
1 + 1 = 2
Equal probabilities? No way José.
Conclusion: The addition of true random numbers gives a random number, but not a true random number. Throw two fair dice ...