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v0.2.2: updated Lidgren, railgun shells can be bought, autorestart server, netstats, tutorial moloch spawning in a wall fix, misc error checks

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Regalis
2015-10-18 22:44:30 +03:00
parent aa3882a815
commit 0e5e86e363
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Lidgren.Network/NetRandom.cs
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using System;
using System.Collections.Generic;
using System.Threading;
namespace Lidgren.Network
{
/// <summary>
/// A fast random number generator for .NET
/// Colin Green, January 2005
/// NetRandom base class
/// </summary>
/// September 4th 2005
/// Added NextBytesUnsafe() - commented out by default.
/// Fixed bug in Reinitialise() - y,z and w variables were not being reset.
///
/// Key points:
/// 1) Based on a simple and fast xor-shift pseudo random number generator (RNG) specified in:
/// Marsaglia, George. (2003). Xorshift RNGs.
/// http://www.jstatsoft.org/v08/i14/xorshift.pdf
///
/// This particular implementation of xorshift has a period of 2^128-1. See the above paper to see
/// how this can be easily extened if you need a longer period. At the time of writing I could find no
/// information on the period of System.Random for comparison.
///
/// 2) Faster than System.Random. Up to 8x faster, depending on which methods are called.
///
/// 3) Direct replacement for System.Random. This class implements all of the methods that System.Random
/// does plus some additional methods. The like named methods are functionally equivalent.
///
/// 4) Allows fast re-initialisation with a seed, unlike System.Random which accepts a seed at construction
/// time which then executes a relatively expensive initialisation routine. This provides a vast speed improvement
/// if you need to reset the pseudo-random number sequence many times, e.g. if you want to re-generate the same
/// sequence many times. An alternative might be to cache random numbers in an array, but that approach is limited
/// by memory capacity and the fact that you may also want a large number of different sequences cached. Each sequence
/// can each be represented by a single seed value (int) when using FastRandom.
///
/// Notes.
/// A further performance improvement can be obtained by declaring local variables as static, thus avoiding
/// re-allocation of variables on each call. However care should be taken if multiple instances of
/// FastRandom are in use or if being used in a multi-threaded environment.
public class NetRandom
public abstract class NetRandom : Random
{
/// <summary>
/// Gets a global NetRandom instance
/// Get global instance of NetRandom (uses MWCRandom)
/// </summary>
public static readonly NetRandom Instance = new NetRandom();
public static NetRandom Instance = new MWCRandom();
// The +1 ensures NextDouble doesn't generate 1.0
const double REAL_UNIT_INT = 1.0 / ((double)int.MaxValue + 1.0);
const double REAL_UNIT_UINT = 1.0 / ((double)uint.MaxValue + 1.0);
const uint Y = 842502087, Z = 3579807591, W = 273326509;
private static int s_extraSeed = 42;
uint x, y, z, w;
#region Constructors
private const double c_realUnitInt = 1.0 / ((double)int.MaxValue + 1.0);
/// <summary>
/// Initialises a new instance using time dependent seed.
/// Constructor with randomized seed
/// </summary>
public NetRandom()
{
// Initialise using the system tick count.
Reinitialise(GetSeed(this));
Initialize(NetRandomSeed.GetUInt32());
}
/// <summary>
/// Initialises a new instance using an int value as seed.
/// This constructor signature is provided to maintain compatibility with
/// System.Random
/// Constructor with provided 32 bit seed
/// </summary>
public NetRandom(int seed)
{
Reinitialise(seed);
Initialize((uint)seed);
}
/// <summary>
/// Create a semi-random seed based on an object
/// (Re)initialize this instance with provided 32 bit seed
/// </summary>
public static int GetSeed(object forObject)
[CLSCompliant(false)]
public virtual void Initialize(uint seed)
{
// mix some semi-random properties
int seed = (int)Environment.TickCount;
seed ^= forObject.GetHashCode();
//seed ^= (int)(Stopwatch.GetTimestamp());
//seed ^= (int)(Environment.WorkingSet); // will return 0 on mono
int extraSeed = System.Threading.Interlocked.Increment(ref s_extraSeed);
return seed + extraSeed;
// should be abstract, but non-CLS compliant methods can't be abstract!
throw new NotImplementedException("Implement this in inherited classes");
}
#endregion
#region Public Methods [Reinitialisation]
/// <summary>
/// Reinitialises using an int value as a seed.
/// Generates a random value from UInt32.MinValue to UInt32.MaxValue, inclusively
/// </summary>
/// <param name="seed"></param>
public void Reinitialise(int seed)
[CLSCompliant(false)]
public virtual uint NextUInt32()
{
// The only stipulation stated for the xorshift RNG is that at least one of
// the seeds x,y,z,w is non-zero. We fulfill that requirement by only allowing
// resetting of the x seed
x = (uint)seed;
y = Y;
z = Z;
w = W;
// should be abstract, but non-CLS compliant methods can't be abstract!
throw new NotImplementedException("Implement this in inherited classes");
}
#endregion
#region Public Methods [System.Random functionally equivalent methods]
/// <summary>
/// Generates a random int over the range 0 to int.MaxValue-1.
/// MaxValue is not generated in order to remain functionally equivalent to System.Random.Next().
/// This does slightly eat into some of the performance gain over System.Random, but not much.
/// For better performance see:
///
/// Call NextInt() for an int over the range 0 to int.MaxValue.
///
/// Call NextUInt() and cast the result to an int to generate an int over the full Int32 value range
/// including negative values.
/// Generates a random value that is greater or equal than 0 and less than Int32.MaxValue
/// </summary>
/// <returns></returns>
public int Next()
public override int Next()
{
uint t = (x ^ (x << 11));
x = y; y = z; z = w;
w = (w ^ (w >> 19)) ^ (t ^ (t >> 8));
// Handle the special case where the value int.MaxValue is generated. This is outside of
// the range of permitted values, so we therefore call Next() to try again.
uint rtn = w & 0x7FFFFFFF;
if (rtn == 0x7FFFFFFF)
return Next();
return (int)rtn;
var retval = (int)(0x7FFFFFFF & NextUInt32());
if (retval == 0x7FFFFFFF)
return NextInt32();
return retval;
}
/// <summary>
/// Generates a random int over the range 0 to upperBound-1, and not including upperBound.
/// Generates a random value greater or equal than 0 and less or equal than Int32.MaxValue (inclusively)
/// </summary>
/// <param name="upperBound"></param>
/// <returns></returns>
public int Next(int upperBound)
public int NextInt32()
{
if (upperBound < 0)
throw new ArgumentOutOfRangeException("upperBound", upperBound, "upperBound must be >=0");
uint t = (x ^ (x << 11));
x = y; y = z; z = w;
// The explicit int cast before the first multiplication gives better performance.
// See comments in NextDouble.
return (int)((REAL_UNIT_INT * (int)(0x7FFFFFFF & (w = (w ^ (w >> 19)) ^ (t ^ (t >> 8))))) * upperBound);
return (int)(0x7FFFFFFF & NextUInt32());
}
/// <summary>
/// Generates a random int over the range lowerBound to upperBound-1, and not including upperBound.
/// upperBound must be >= lowerBound. lowerBound may be negative.
/// Returns random value larger or equal to 0.0 and less than 1.0
/// </summary>
/// <param name="lowerBound"></param>
/// <param name="upperBound"></param>
/// <returns></returns>
public int Next(int lowerBound, int upperBound)
public override double NextDouble()
{
if (lowerBound > upperBound)
throw new ArgumentOutOfRangeException("upperBound", upperBound, "upperBound must be >=lowerBound");
uint t = (x ^ (x << 11));
x = y; y = z; z = w;
// The explicit int cast before the first multiplication gives better performance.
// See comments in NextDouble.
int range = upperBound - lowerBound;
if (range < 0)
{ // If range is <0 then an overflow has occured and must resort to using long integer arithmetic instead (slower).
// We also must use all 32 bits of precision, instead of the normal 31, which again is slower.
return lowerBound + (int)((REAL_UNIT_UINT * (double)(w = (w ^ (w >> 19)) ^ (t ^ (t >> 8)))) * (double)((long)upperBound - (long)lowerBound));
}
// 31 bits of precision will suffice if range<=int.MaxValue. This allows us to cast to an int and gain
// a little more performance.
return lowerBound + (int)((REAL_UNIT_INT * (double)(int)(0x7FFFFFFF & (w = (w ^ (w >> 19)) ^ (t ^ (t >> 8))))) * (double)range);
return c_realUnitInt * NextInt32();
}
/// <summary>
/// Generates a random double. Values returned are from 0.0 up to but not including 1.0.
/// Returns random value is greater or equal than 0.0 and less than 1.0
/// </summary>
/// <returns></returns>
public double NextDouble()
protected override double Sample()
{
uint t = (x ^ (x << 11));
x = y; y = z; z = w;
// Here we can gain a 2x speed improvement by generating a value that can be cast to
// an int instead of the more easily available uint. If we then explicitly cast to an
// int the compiler will then cast the int to a double to perform the multiplication,
// this final cast is a lot faster than casting from a uint to a double. The extra cast
// to an int is very fast (the allocated bits remain the same) and so the overall effect
// of the extra cast is a significant performance improvement.
//
// Also note that the loss of one bit of precision is equivalent to what occurs within
// System.Random.
return (REAL_UNIT_INT * (int)(0x7FFFFFFF & (w = (w ^ (w >> 19)) ^ (t ^ (t >> 8)))));
return c_realUnitInt * NextInt32();
}
/// <summary>
/// Generates a random single. Values returned are from 0.0 up to but not including 1.0.
/// Returns random value is greater or equal than 0.0f and less than 1.0f
/// </summary>
public float NextSingle()
{
return (float)NextDouble();
var retval = (float)(c_realUnitInt * NextInt32());
if (retval == 1.0f)
return NextSingle();
return retval;
}
/// <summary>
/// Fills the provided byte array with random bytes.
/// This method is functionally equivalent to System.Random.NextBytes().
/// Returns a random value is greater or equal than 0 and less than maxValue
/// </summary>
/// <param name="buffer"></param>
public void NextBytes(byte[] buffer)
public override int Next(int maxValue)
{
// Fill up the bulk of the buffer in chunks of 4 bytes at a time.
uint x = this.x, y = this.y, z = this.z, w = this.w;
int i = 0;
uint t;
for (int bound = buffer.Length - 3; i < bound; )
{
// Generate 4 bytes.
// Increased performance is achieved by generating 4 random bytes per loop.
// Also note that no mask needs to be applied to zero out the higher order bytes before
// casting because the cast ignores thos bytes. Thanks to Stefan Troschütz for pointing this out.
t = (x ^ (x << 11));
x = y; y = z; z = w;
w = (w ^ (w >> 19)) ^ (t ^ (t >> 8));
buffer[i++] = (byte)w;
buffer[i++] = (byte)(w >> 8);
buffer[i++] = (byte)(w >> 16);
buffer[i++] = (byte)(w >> 24);
}
// Fill up any remaining bytes in the buffer.
if (i < buffer.Length)
{
// Generate 4 bytes.
t = (x ^ (x << 11));
x = y; y = z; z = w;
w = (w ^ (w >> 19)) ^ (t ^ (t >> 8));
buffer[i++] = (byte)w;
if (i < buffer.Length)
{
buffer[i++] = (byte)(w >> 8);
if (i < buffer.Length)
{
buffer[i++] = (byte)(w >> 16);
if (i < buffer.Length)
{
buffer[i] = (byte)(w >> 24);
}
}
}
}
this.x = x; this.y = y; this.z = z; this.w = w;
return (int)(NextDouble() * maxValue);
}
// /// <summary>
// /// A version of NextBytes that uses a pointer to set 4 bytes of the byte buffer in one operation
// /// thus providing a nice speedup. The loop is also partially unrolled to allow out-of-order-execution,
// /// this results in about a x2 speedup on an AMD Athlon. Thus performance may vary wildly on different CPUs
// /// depending on the number of execution units available.
// ///
// /// Another significant speedup is obtained by setting the 4 bytes by indexing pDWord (e.g. pDWord[i++]=w)
// /// instead of adjusting it dereferencing it (e.g. *pDWord++=w).
// ///
// /// Note that this routine requires the unsafe compilation flag to be specified and so is commented out by default.
// /// </summary>
// /// <param name="buffer"></param>
// public unsafe void NextBytesUnsafe(byte[] buffer)
// {
// if(buffer.Length % 8 != 0)
// throw new ArgumentException("Buffer length must be divisible by 8", "buffer");
//
// uint x=this.x, y=this.y, z=this.z, w=this.w;
//
// fixed(byte* pByte0 = buffer)
// {
// uint* pDWord = (uint*)pByte0;
// for(int i=0, len=buffer.Length>>2; i < len; i+=2)
// {
// uint t=(x^(x<<11));
// x=y; y=z; z=w;
// pDWord[i] = w = (w^(w>>19))^(t^(t>>8));
//
// t=(x^(x<<11));
// x=y; y=z; z=w;
// pDWord[i+1] = w = (w^(w>>19))^(t^(t>>8));
// }
// }
//
// this.x=x; this.y=y; this.z=z; this.w=w;
// }
#endregion
#region Public Methods [Methods not present on System.Random]
/// <summary>
/// Generates a uint. Values returned are over the full range of a uint,
/// uint.MinValue to uint.MaxValue, inclusive.
///
/// This is the fastest method for generating a single random number because the underlying
/// random number generator algorithm generates 32 random bits that can be cast directly to
/// a uint.
/// Returns a random value is greater or equal than minValue and less than maxValue
/// </summary>
public override int Next(int minValue, int maxValue)
{
return minValue + (int)(NextDouble() * (double)(maxValue - minValue));
}
/// <summary>
/// Generates a random value between UInt64.MinValue to UInt64.MaxValue
/// </summary>
[CLSCompliant(false)]
public uint NextUInt()
public ulong NextUInt64()
{
uint t = (x ^ (x << 11));
x = y; y = z; z = w;
return (w = (w ^ (w >> 19)) ^ (t ^ (t >> 8)));
ulong retval = NextUInt32();
retval |= NextUInt32() << 32;
return retval;
}
/// <summary>
/// Generates a random int over the range 0 to int.MaxValue, inclusive.
/// This method differs from Next() only in that the range is 0 to int.MaxValue
/// and not 0 to int.MaxValue-1.
///
/// The slight difference in range means this method is slightly faster than Next()
/// but is not functionally equivalent to System.Random.Next().
/// </summary>
/// <returns></returns>
public int NextInt()
{
uint t = (x ^ (x << 11));
x = y; y = z; z = w;
return (int)(0x7FFFFFFF & (w = (w ^ (w >> 19)) ^ (t ^ (t >> 8))));
}
// Buffer 32 bits in bitBuffer, return 1 at a time, keep track of how many have been returned
// with bitBufferIdx.
uint bitBuffer;
uint bitMask = 1;
private uint m_boolValues;
private int m_nextBoolIndex;
/// <summary>
/// Generates a single random bit.
/// This method's performance is improved by generating 32 bits in one operation and storing them
/// ready for future calls.
/// Returns true or false, randomly
/// </summary>
/// <returns></returns>
public bool NextBool()
{
if (bitMask == 1)
if (m_nextBoolIndex >= 32)
{
// Generate 32 more bits.
uint t = (x ^ (x << 11));
x = y; y = z; z = w;
bitBuffer = w = (w ^ (w >> 19)) ^ (t ^ (t >> 8));
// Reset the bitMask that tells us which bit to read next.
bitMask = 0x80000000;
return (bitBuffer & bitMask) == 0;
m_boolValues = NextUInt32();
m_nextBoolIndex = 1;
}
return (bitBuffer & (bitMask >>= 1)) == 0;
var retval = ((m_boolValues >> m_nextBoolIndex) & 1) == 1;
m_nextBoolIndex++;
return retval;
}
/// <summary>
/// Fills all bytes from offset to offset + length in buffer with random values
/// </summary>
public virtual void NextBytes(byte[] buffer, int offset, int length)
{
int full = length / 4;
int ptr = offset;
for (int i = 0; i < full; i++)
{
uint r = NextUInt32();
buffer[ptr++] = (byte)r;
buffer[ptr++] = (byte)(r >> 8);
buffer[ptr++] = (byte)(r >> 16);
buffer[ptr++] = (byte)(r >> 24);
}
int rest = length - (full * 4);
for (int i = 0; i < rest; i++)
buffer[ptr++] = (byte)NextUInt32();
}
#endregion
/// <summary>
/// Fill the specified buffer with random values
/// </summary>
public override void NextBytes(byte[] buffer)
{
NextBytes(buffer, 0, buffer.Length);
}
}
}