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Randomizer.cs
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using System;
using System.IO;
namespace NumSharp
{
/// <summary>
/// Represents a pseudo-random number generator, which is a device that produces a sequence of numbers that meet certain statistical requirements for randomness.<br></br>
/// Equivalent of <see cref="System.Random"/> but with a <see cref="SerializableAttribute"/>.
/// </summary>
/// <remarks>Copied and modified from https://referencesource.microsoft.com/#mscorlib/system/random.cs</remarks>
[Serializable]
public class Randomizer : ICloneable
{
private const int MBIG = int.MaxValue;
private const long MBIG_LONG = long.MaxValue;
private const int MSEED = 161803398;
private const int MZ = 0;
private int inext;
private int inextp;
private const int seedArrayLength = 56;
// ReSharper disable once FieldCanBeMadeReadOnly.Local
private int[] SeedArray = new int[seedArrayLength];
/// <summary>Initializes a new instance of the <see cref="Randomizer" /> class, using a time-dependent default seed value.</summary>
public Randomizer()
: this(Environment.TickCount)
{ }
/// <summary>Initializes a new instance of the <see cref="T:System.Random" /> class, using the specified seed value.</summary>
/// <param name="Seed">A number used to calculate a starting value for the pseudo-random number sequence. If a negative number is specified, the absolute value of the number is used.</param>
public Randomizer(int Seed)
{
int ii;
int mj, mk;
//Initialize our Seed array.
//This algorithm comes from Numerical Recipes in C (2nd Ed.)
int subtraction = (Seed == int.MinValue) ? int.MaxValue : Math.Abs(Seed);
mj = MSEED - subtraction;
SeedArray[55] = mj;
mk = 1;
for (int i = 1; i < 55; i++)
{
//Apparently the range [1..55] is special (Knuth) and so we're wasting the 0'th position.
ii = (21 * i) % 55;
SeedArray[ii] = mk;
mk = mj - mk;
if (mk < 0) mk += MBIG;
mj = SeedArray[ii];
}
for (int k = 1; k < 5; k++)
{
for (int i = 1; i < 56; i++)
{
SeedArray[i] -= SeedArray[1 + (i + 30) % 55];
if (SeedArray[i] < 0) SeedArray[i] += MBIG;
}
}
inext = 0;
inextp = 21;
Seed = 1;
}
//
// Package Private Methods
//
/*====================================Sample====================================
**Action: Return a new random number [0..1) and reSeed the Seed array.
**Returns: A double [0..1)
**Arguments: None
**Exceptions: None
==============================================================================*/
/// <summary>Returns a random floating-point number between 0.0 and 1.0.</summary>
/// <returns>A double-precision floating point number that is greater than or equal to 0.0, and less than 1.0.</returns>
protected virtual double Sample()
{
//Including this division at the end gives us significantly improved
//random number distribution.
return (InternalSample() * (1.0 / MBIG));
}
private int InternalSample()
{
int retVal;
int locINext = inext;
int locINextp = inextp;
if (++locINext >= 56) locINext = 1;
if (++locINextp >= 56) locINextp = 1;
retVal = SeedArray[locINext] - SeedArray[locINextp];
if (retVal == MBIG) retVal--;
if (retVal < 0) retVal += MBIG;
SeedArray[locINext] = retVal;
inext = locINext;
inextp = locINextp;
return retVal;
}
/// <summary>
/// Returns a value between 0 and <see cref="long"/>.<see cref="long.MaxValue"/>.
/// </summary>
/// <returns></returns>
private long InternalSampleLong()
{
const double factor = long.MaxValue / int.MaxValue;
return (long)(InternalSample() * factor);
}
//
// Public Instance Methods
//
/*=====================================Next=====================================
**Returns: An int [0..Int32.MaxValue)
**Arguments: None
**Exceptions: None.
==============================================================================*/
/// <summary>Returns a non-negative random integer.</summary>
/// <returns>A 32-bit signed integer that is greater than or equal to 0 and less than <see cref="F:System.Int32.MaxValue" />.</returns>
public virtual int Next()
{
return InternalSample();
}
private double GetSampleForLargeRange()
{
// The distribution of double value returned by Sample
// is not distributed well enough for a large range.
// If we use Sample for a range [Int32.MinValue..Int32.MaxValue)
// We will end up getting even numbers only.
int result = InternalSample();
// Note we can't use addition here. The distribution will be bad if we do that.
bool negative = (InternalSample() % 2 == 0) ? true : false; // decide the sign based on second sample
if (negative)
{
result = -result;
}
double d = result;
d += (int.MaxValue - 1); // get a number in range [0 .. 2 * Int32MaxValue - 1)
d /= 2 * (uint)int.MaxValue - 1;
return d;
}
/*=====================================Next=====================================
**Returns: An int [minvalue..maxvalue)
**Arguments: minValue -- the least legal value for the Random number.
** maxValue -- One greater than the greatest legal return value.
**Exceptions: None.
==============================================================================*/
/// <summary>Returns a random integer that is within a specified range.</summary>
/// <param name="minValue">The inclusive lower bound of the random number returned.</param>
/// <param name="maxValue">The exclusive upper bound of the random number returned. <paramref name="maxValue" /> must be greater than or equal to <paramref name="minValue" />.</param>
/// <returns>A 32-bit signed integer greater than or equal to <paramref name="minValue" /> and less than <paramref name="maxValue" />; that is, the range of return values includes <paramref name="minValue" /> but not <paramref name="maxValue" />. If <paramref name="minValue" /> equals <paramref name="maxValue" />, <paramref name="minValue" /> is returned.</returns>
/// <exception cref="T:System.ArgumentOutOfRangeException">
/// <paramref name="minValue" /> is greater than <paramref name="maxValue" />.</exception>
public virtual int Next(int minValue, int maxValue)
{
if (minValue > maxValue)
{
//swap
var tmp = minValue;
minValue = maxValue;
maxValue = tmp;
}
long range = (long)maxValue - minValue;
if (range <= int.MaxValue)
{
return ((int)(Sample() * range) + minValue);
}
else
{
return (int)((long)(GetSampleForLargeRange() * range) + minValue);
}
}
/*=====================================Next=====================================
**Returns: An int [0..maxValue)
**Arguments: maxValue -- One more than the greatest legal return value.
**Exceptions: None.
==============================================================================*/
/// <summary>Returns a non-negative random integer that is less than the specified maximum.</summary>
/// <param name="maxValue">The exclusive upper bound of the random number to be generated. <paramref name="maxValue" /> must be greater than or equal to 0.</param>
/// <returns>A 32-bit signed integer that is greater than or equal to 0, and less than <paramref name="maxValue" />; that is, the range of return values ordinarily includes 0 but not <paramref name="maxValue" />. However, if <paramref name="maxValue" /> equals 0, <paramref name="maxValue" /> is returned.</returns>
/// <exception cref="T:System.ArgumentOutOfRangeException">
/// <paramref name="maxValue" /> is less than 0.</exception>
public virtual long NextLong(long maxValue)
{
return (long)(Sample() * maxValue);
}
/// <summary>Returns a non-negative random integer that is less than the specified maximum.</summary>
/// <param name="maxValue">The exclusive upper bound of the random number to be generated. <paramref name="maxValue" /> must be greater than or equal to 0.</param>
/// <returns>A 32-bit signed integer that is greater than or equal to 0, and less than <paramref name="maxValue" />; that is, the range of return values ordinarily includes 0 but not <paramref name="maxValue" />. However, if <paramref name="maxValue" /> equals 0, <paramref name="maxValue" /> is returned.</returns>
/// <exception cref="T:System.ArgumentOutOfRangeException">
/// <paramref name="maxValue" /> is less than 0.</exception>
public virtual long NextLong()
{
return InternalSampleLong();
}
/*=====================================Next=====================================
**Returns: An int [minvalue..maxvalue)
**Arguments: minValue -- the least legal value for the Random number.
** maxValue -- One greater than the greatest legal return value.
**Exceptions: None.
==============================================================================*/
/// <summary>Returns a random integer that is within a specified range.</summary>
/// <param name="minValue">The inclusive lower bound of the random number returned.</param>
/// <param name="maxValue">The exclusive upper bound of the random number returned. <paramref name="maxValue" /> must be greater than or equal to <paramref name="minValue" />.</param>
/// <returns>A 32-bit signed integer greater than or equal to <paramref name="minValue" /> and less than <paramref name="maxValue" />; that is, the range of return values includes <paramref name="minValue" /> but not <paramref name="maxValue" />. If <paramref name="minValue" /> equals <paramref name="maxValue" />, <paramref name="minValue" /> is returned.</returns>
/// <exception cref="T:System.ArgumentOutOfRangeException">
/// <paramref name="minValue" /> is greater than <paramref name="maxValue" />.</exception>
public virtual long NextLong(long minValue, long maxValue)
{
if (minValue > maxValue)
{
//swap
var tmp = minValue;
minValue = maxValue;
maxValue = tmp;
}
long range = maxValue - minValue;
if (range <= int.MaxValue)
{
return (long)(Sample() * range + minValue);
}
else
{
return (long)(GetSampleForLargeRange() * range) + minValue;
}
}
/*=====================================Next=====================================
**Returns: An int [0..maxValue)
**Arguments: maxValue -- One more than the greatest legal return value.
**Exceptions: None.
==============================================================================*/
/// <summary>Returns a non-negative random integer that is less than the specified maximum.</summary>
/// <param name="maxValue">The exclusive upper bound of the random number to be generated. <paramref name="maxValue" /> must be greater than or equal to 0.</param>
/// <returns>A 32-bit signed integer that is greater than or equal to 0, and less than <paramref name="maxValue" />; that is, the range of return values ordinarily includes 0 but not <paramref name="maxValue" />. However, if <paramref name="maxValue" /> equals 0, <paramref name="maxValue" /> is returned.</returns>
/// <exception cref="T:System.ArgumentOutOfRangeException">
/// <paramref name="maxValue" /> is less than 0.</exception>
public virtual int Next(int maxValue)
{
return (int)(Sample() * maxValue);
}
/*=====================================Next=====================================
**Returns: A double [0..1)
**Arguments: None
**Exceptions: None
==============================================================================*/
/// <summary>Returns a random floating-point number that is greater than or equal to 0.0, and less than 1.0.</summary>
/// <returns>A double-precision floating point number that is greater than or equal to 0.0, and less than 1.0.</returns>
public virtual double NextDouble()
{
return Sample();
}
/*==================================NextBytes===================================
**Action: Fills the byte array with random bytes [0..0x7f]. The entire array is filled.
**Returns:Void
**Arugments: buffer -- the array to be filled.
**Exceptions: None
==============================================================================*/
/// <summary>Fills the elements of a specified array of bytes with random numbers.</summary>
/// <param name="buffer">An array of bytes to contain random numbers.</param>
/// <exception cref="T:System.ArgumentNullException">
/// <paramref name="buffer" /> is <see langword="null" />.</exception>
public virtual void NextBytes(byte[] buffer)
{
for (int i = 0; i < buffer.Length; i++)
{
buffer[i] = (byte)(InternalSample() % (byte.MaxValue + 1));
}
}
/// <summary>Creates a new object that is a copy of the current instance.</summary>
/// <returns>A new object that is a copy of this instance.</returns>
object ICloneable.Clone()
{
return Clone();
}
/// <summary>Creates a new object that is a copy of the current instance.</summary>
/// <returns>A new object that is a copy of this instance.</returns>
public Randomizer Clone()
{
return new Randomizer() {SeedArray = (int[])SeedArray.Clone(), inext = inext, inextp = inextp};
}
public byte[] Serialize()
{
using (MemoryStream stream = new MemoryStream())
{
using (BinaryWriter writer = new BinaryWriter(stream))
{
for (int i = 0; i < seedArrayLength; i++)
{
writer.Write(SeedArray[i]);
}
writer.Write(inext);
writer.Write(inextp);
}
return stream.ToArray();
}
}
public static Randomizer Deserialize(byte[] bytes)
{
using (MemoryStream stream = new MemoryStream(bytes))
{
using (BinaryReader reader = new BinaryReader(stream))
{
var rnd = new Randomizer();
for (int i = 0; i < seedArrayLength; i++)
{
rnd.SeedArray[i] = reader.ReadInt32();
}
rnd.inext = reader.ReadInt32();
rnd.inextp = reader.ReadInt32();
return rnd;
}
}
}
}
internal static class MemoryStreamExtensions
{
public static void Append(this MemoryStream stream, byte value)
{
stream.Append(new[] {value});
}
public static void Append(this MemoryStream stream, byte[] values)
{
stream.Write(values, 0, values.Length);
}
}
}