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cuberite-2a/source/MersenneTwister.h
faketruth c4abe1ed6a MCServer should be running fast again on Linux!! YAAAY!!
It seems the intialization of MersenneTwister was really slow on Linux because it did some file reading. Doing this 200 times a tick can be pretty slow...

StringUtils didn't compile in Cygwin due to missing va_list definition

git-svn-id: http://mc-server.googlecode.com/svn/trunk@230 0a769ca7-a7f5-676a-18bf-c427514a06d6
2012-02-03 16:01:25 +00:00

457 lines
15 KiB
C++
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// MersenneTwister.h
// Mersenne Twister random number generator -- a C++ class MTRand
// Based on code by Makoto Matsumoto, Takuji Nishimura, and Shawn Cokus
// Richard J. Wagner v1.1 28 September 2009 wagnerr@umich.edu
// The Mersenne Twister is an algorithm for generating random numbers. It
// was designed with consideration of the flaws in various other generators.
// The period, 2^19937-1, and the order of equidistribution, 623 dimensions,
// are far greater. The generator is also fast; it avoids multiplication and
// division, and it benefits from caches and pipelines. For more information
// see the inventors' web page at
// http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html
// Reference
// M. Matsumoto and T. Nishimura, "Mersenne Twister: A 623-Dimensionally
// Equidistributed Uniform Pseudo-Random Number Generator", ACM Transactions on
// Modeling and Computer Simulation, Vol. 8, No. 1, January 1998, pp 3-30.
// Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
// Copyright (C) 2000 - 2009, Richard J. Wagner
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. The names of its contributors may not be used to endorse or promote
// products derived from this software without specific prior written
// permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
// POSSIBILITY OF SUCH DAMAGE.
#ifndef MERSENNETWISTER_H
#define MERSENNETWISTER_H
// Not thread safe (unless auto-initialization is avoided and each thread has
// its own MTRand object)
#include <iostream>
#include <climits>
#include <cstdio>
#include <ctime>
#include <cmath>
#pragma warning(disable:4996;disable:4800)
class MTRand {
// Data
public:
typedef long uint32; // unsigned integer type, at least 32 bits
enum { N = 624 }; // length of state vector
enum { SAVE = N + 1 }; // length of array for save()
protected:
enum { M = 397 }; // period parameter
uint32 state[N]; // internal state
uint32 *pNext; // next value to get from state
int left; // number of values left before reload needed
// Methods
public:
MTRand( const uint32 oneSeed ); // initialize with a simple uint32
MTRand( uint32 *const bigSeed, uint32 const seedLength = N ); // or array
MTRand(); // auto-initialize with /dev/urandom or time() and clock()
MTRand( const MTRand& o ); // copy
// Do NOT use for CRYPTOGRAPHY without securely hashing several returned
// values together, otherwise the generator state can be learned after
// reading 624 consecutive values.
// Access to 32-bit random numbers
uint32 randInt(); // integer in [0,2^32-1]
uint32 randInt( const uint32 n ); // integer in [0,n] for n < 2^32
double rand(); // real number in [0,1]
double rand( const double n ); // real number in [0,n]
double randExc(); // real number in [0,1)
double randExc( const double n ); // real number in [0,n)
double randDblExc(); // real number in (0,1)
double randDblExc( const double n ); // real number in (0,n)
double operator()(); // same as rand()
// Access to 53-bit random numbers (capacity of IEEE double precision)
double rand53(); // real number in [0,1)
// Access to nonuniform random number distributions
double randNorm( const double mean = 0.0, const double stddev = 1.0 );
// Re-seeding functions with same behavior as initializers
void seed( const uint32 oneSeed );
void seed( uint32 *const bigSeed, const uint32 seedLength = N );
void seed();
// Saving and loading generator state
void save( uint32* saveArray ) const; // to array of size SAVE
void load( uint32 *const loadArray ); // from such array
friend std::ostream& operator<<( std::ostream& os, const MTRand& mtrand );
friend std::istream& operator>>( std::istream& is, MTRand& mtrand );
MTRand& operator=( const MTRand& o );
protected:
void initialize( const uint32 oneSeed );
void reload();
uint32 hiBit( const uint32 u ) const { return u & 0x80000000UL; }
uint32 loBit( const uint32 u ) const { return u & 0x00000001UL; }
uint32 loBits( const uint32 u ) const { return u & 0x7fffffffUL; }
uint32 mixBits( const uint32 u, const uint32 v ) const
{ return hiBit(u) | loBits(v); }
uint32 magic( const uint32 u ) const
{ return loBit(u) ? 0x9908b0dfUL : 0x0UL; }
uint32 twist( const uint32 m, const uint32 s0, const uint32 s1 ) const
{ return m ^ (mixBits(s0,s1)>>1) ^ magic(s1); }
static uint32 hash( time_t t, clock_t c );
};
// Functions are defined in order of usage to assist inlining
inline MTRand::uint32 MTRand::hash( time_t t, clock_t c )
{
// Get a uint32 from t and c
// Better than uint32(x) in case x is floating point in [0,1]
// Based on code by Lawrence Kirby (fred@genesis.demon.co.uk)
static uint32 differ = 0; // guarantee time-based seeds will change
uint32 h1 = 0;
unsigned char *p = (unsigned char *) &t;
for( size_t i = 0; i < sizeof(t); ++i )
{
h1 *= UCHAR_MAX + 2U;
h1 += p[i];
}
uint32 h2 = 0;
p = (unsigned char *) &c;
for( size_t j = 0; j < sizeof(c); ++j )
{
h2 *= UCHAR_MAX + 2U;
h2 += p[j];
}
return ( h1 + differ++ ) ^ h2;
}
inline void MTRand::initialize( const uint32 seed )
{
// Initialize generator state with seed
// See Knuth TAOCP Vol 2, 3rd Ed, p.106 for multiplier.
// In previous versions, most significant bits (MSBs) of the seed affect
// only MSBs of the state array. Modified 9 Jan 2002 by Makoto Matsumoto.
register uint32 *s = state;
register uint32 *r = state;
register int i = 1;
*s++ = seed & 0xffffffffUL;
for( ; i < N; ++i )
{
*s++ = ( 1812433253UL * ( *r ^ (*r >> 30) ) + i ) & 0xffffffffUL;
r++;
}
}
inline void MTRand::reload()
{
// Generate N new values in state
// Made clearer and faster by Matthew Bellew (matthew.bellew@home.com)
static const int MmN = int(M) - int(N); // in case enums are unsigned
register uint32 *p = state;
register int i;
for( i = N - M; i--; ++p )
*p = twist( p[M], p[0], p[1] );
for( i = M; --i; ++p )
*p = twist( p[MmN], p[0], p[1] );
*p = twist( p[MmN], p[0], state[0] );
left = N, pNext = state;
}
inline void MTRand::seed( const uint32 oneSeed )
{
// Seed the generator with a simple uint32
initialize(oneSeed);
reload();
}
inline void MTRand::seed( uint32 *const bigSeed, const uint32 seedLength )
{
// Seed the generator with an array of uint32's
// There are 2^19937-1 possible initial states. This function allows
// all of those to be accessed by providing at least 19937 bits (with a
// default seed length of N = 624 uint32's). Any bits above the lower 32
// in each element are discarded.
// Just call seed() if you want to get array from /dev/urandom
initialize(19650218UL);
register int i = 1;
register uint32 j = 0;
register int k = ( N > seedLength ? N : seedLength );
for( ; k; --k )
{
state[i] =
state[i] ^ ( (state[i-1] ^ (state[i-1] >> 30)) * 1664525UL );
state[i] += ( bigSeed[j] & 0xffffffffUL ) + j;
state[i] &= 0xffffffffUL;
++i; ++j;
if( i >= N ) { state[0] = state[N-1]; i = 1; }
if( j >= seedLength ) j = 0;
}
for( k = N - 1; k; --k )
{
state[i] =
state[i] ^ ( (state[i-1] ^ (state[i-1] >> 30)) * 1566083941UL );
state[i] -= i;
state[i] &= 0xffffffffUL;
++i;
if( i >= N ) { state[0] = state[N-1]; i = 1; }
}
state[0] = 0x80000000UL; // MSB is 1, assuring non-zero initial array
reload();
}
inline void MTRand::seed()
{
// Seed the generator with an array from /dev/urandom if available
// Otherwise use a hash of time() and clock() values
// First try getting an array from /dev/urandom
/* // Commented out by FakeTruth because doing this 200 times a tick is SUUUUPEERRR SLOW!!~~!<21>Ne
FILE* urandom = fopen( "/dev/urandom", "rb" );
if( urandom )
{
uint32 bigSeed[N];
register uint32 *s = bigSeed;
register int i = N;
register bool success = true;
while( success && i-- )
success = fread( s++, sizeof(uint32), 1, urandom );
fclose(urandom);
if( success ) { seed( bigSeed, N ); return; }
}
*/
// Was not successful, so use time() and clock() instead
seed( hash( time(NULL), clock() ) );
}
inline MTRand::MTRand( const uint32 oneSeed )
{ seed(oneSeed); }
inline MTRand::MTRand( uint32 *const bigSeed, const uint32 seedLength )
{ seed(bigSeed,seedLength); }
inline MTRand::MTRand()
{ seed(); }
inline MTRand::MTRand( const MTRand& o )
{
register const uint32 *t = o.state;
register uint32 *s = state;
register int i = N;
for( ; i--; *s++ = *t++ ) {}
left = o.left;
pNext = &state[N-left];
}
inline MTRand::uint32 MTRand::randInt()
{
// Pull a 32-bit integer from the generator state
// Every other access function simply transforms the numbers extracted here
if( left == 0 ) reload();
--left;
register uint32 s1;
s1 = *pNext++;
s1 ^= (s1 >> 11);
s1 ^= (s1 << 7) & 0x9d2c5680UL;
s1 ^= (s1 << 15) & 0xefc60000UL;
return ( s1 ^ (s1 >> 18) );
}
inline MTRand::uint32 MTRand::randInt( const uint32 n )
{
// Find which bits are used in n
// Optimized by Magnus Jonsson (magnus@smartelectronix.com)
uint32 used = n;
used |= used >> 1;
used |= used >> 2;
used |= used >> 4;
used |= used >> 8;
used |= used >> 16;
// Draw numbers until one is found in [0,n]
uint32 i;
do
i = randInt() & used; // toss unused bits to shorten search
while( i > n );
return i;
}
inline double MTRand::rand()
{ return double(randInt()) * (1.0/4294967295.0); }
inline double MTRand::rand( const double n )
{ return rand() * n; }
inline double MTRand::randExc()
{ return double(randInt()) * (1.0/4294967296.0); }
inline double MTRand::randExc( const double n )
{ return randExc() * n; }
inline double MTRand::randDblExc()
{ return ( double(randInt()) + 0.5 ) * (1.0/4294967296.0); }
inline double MTRand::randDblExc( const double n )
{ return randDblExc() * n; }
inline double MTRand::rand53()
{
uint32 a = randInt() >> 5, b = randInt() >> 6;
return ( a * 67108864.0 + b ) * (1.0/9007199254740992.0); // by Isaku Wada
}
inline double MTRand::randNorm( const double mean, const double stddev )
{
// Return a real number from a normal (Gaussian) distribution with given
// mean and standard deviation by polar form of Box-Muller transformation
double x, y, r;
do
{
x = 2.0 * rand() - 1.0;
y = 2.0 * rand() - 1.0;
r = x * x + y * y;
}
while ( r >= 1.0 || r == 0.0 );
double s = sqrt( -2.0 * log(r) / r );
return mean + x * s * stddev;
}
inline double MTRand::operator()()
{
return rand();
}
inline void MTRand::save( uint32* saveArray ) const
{
register const uint32 *s = state;
register uint32 *sa = saveArray;
register int i = N;
for( ; i--; *sa++ = *s++ ) {}
*sa = left;
}
inline void MTRand::load( uint32 *const loadArray )
{
register uint32 *s = state;
register uint32 *la = loadArray;
register int i = N;
for( ; i--; *s++ = *la++ ) {}
left = *la;
pNext = &state[N-left];
}
inline std::ostream& operator<<( std::ostream& os, const MTRand& mtrand )
{
register const MTRand::uint32 *s = mtrand.state;
register int i = mtrand.N;
for( ; i--; os << *s++ << "\t" ) {}
return os << mtrand.left;
}
inline std::istream& operator>>( std::istream& is, MTRand& mtrand )
{
register MTRand::uint32 *s = mtrand.state;
register int i = mtrand.N;
for( ; i--; is >> *s++ ) {}
is >> mtrand.left;
mtrand.pNext = &mtrand.state[mtrand.N-mtrand.left];
return is;
}
inline MTRand& MTRand::operator=( const MTRand& o )
{
if( this == &o ) return (*this);
register const uint32 *t = o.state;
register uint32 *s = state;
register int i = N;
for( ; i--; *s++ = *t++ ) {}
left = o.left;
pNext = &state[N-left];
return (*this);
}
#endif // MERSENNETWISTER_H
// Change log:
//
// v0.1 - First release on 15 May 2000
// - Based on code by Makoto Matsumoto, Takuji Nishimura, and Shawn Cokus
// - Translated from C to C++
// - Made completely ANSI compliant
// - Designed convenient interface for initialization, seeding, and
// obtaining numbers in default or user-defined ranges
// - Added automatic seeding from /dev/urandom or time() and clock()
// - Provided functions for saving and loading generator state
//
// v0.2 - Fixed bug which reloaded generator one step too late
//
// v0.3 - Switched to clearer, faster reload() code from Matthew Bellew
//
// v0.4 - Removed trailing newline in saved generator format to be consistent
// with output format of built-in types
//
// v0.5 - Improved portability by replacing static const int's with enum's and
// clarifying return values in seed(); suggested by Eric Heimburg
// - Removed MAXINT constant; use 0xffffffffUL instead
//
// v0.6 - Eliminated seed overflow when uint32 is larger than 32 bits
// - Changed integer [0,n] generator to give better uniformity
//
// v0.7 - Fixed operator precedence ambiguity in reload()
// - Added access for real numbers in (0,1) and (0,n)
//
// v0.8 - Included time.h header to properly support time_t and clock_t
//
// v1.0 - Revised seeding to match 26 Jan 2002 update of Nishimura and Matsumoto
// - Allowed for seeding with arrays of any length
// - Added access for real numbers in [0,1) with 53-bit resolution
// - Added access for real numbers from normal (Gaussian) distributions
// - Increased overall speed by optimizing twist()
// - Doubled speed of integer [0,n] generation
// - Fixed out-of-range number generation on 64-bit machines
// - Improved portability by substituting literal constants for long enum's
// - Changed license from GNU LGPL to BSD
//
// v1.1 - Corrected parameter label in randNorm from "variance" to "stddev"
// - Changed randNorm algorithm from basic to polar form for efficiency
// - Updated includes from deprecated <xxxx.h> to standard <cxxxx> forms
// - Cleaned declarations and definitions to please Intel compiler
// - Revised twist() operator to work on ones'-complement machines
// - Fixed reload() function to work when N and M are unsigned
// - Added copy constructor and copy operator from Salvador Espana