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- /**
- *
- * Grabbed by Kevin from http://www.math.keio.ac.jp/~matumoto/cokus.c
- * This is the ``Mersenne Twister'' random number generator MT19937, which
- * generates pseudorandom integers uniformly distributed in 0..(2^32 - 1)
- * starting from any odd seed in 0..(2^32 - 1). This version is a recode
- * by Shawn Cokus (Cokus@math.washington.edu) on March 8, 1998 of a version by
- * Takuji Nishimura (who had suggestions from Topher Cooper and Marc Rieffel in
- * July-August 1997).
- *
- * Effectiveness of the recoding (on Goedel2.math.washington.edu, a DEC Alpha
- * running OSF/1) using GCC -O3 as a compiler: before recoding: 51.6 sec. to
- * generate 300 million random numbers; after recoding: 24.0 sec. for the same
- * (i.e., 46.5% of original time), so speed is now about 12.5 million random
- * number generations per second on this machine.
- *
- * According to the URL <http://www.math.keio.ac.jp/~matumoto/emt.html>
- * (and paraphrasing a bit in places), the Mersenne Twister is ``designed
- * with consideration of the flaws of various existing generators,'' has
- * a period of 2^19937 - 1, gives a sequence that is 623-dimensionally
- * equidistributed, and ``has passed many stringent tests, including the
- * die-hard test of G. Marsaglia and the load test of P. Hellekalek and
- * S. Wegenkittl.'' It is efficient in memory usage (typically using 2506
- * to 5012 bytes of static data, depending on data type sizes, and the code
- * is quite short as well). It generates random numbers in batches of 624
- * at a time, so the caching and pipelining of modern systems is exploited.
- * It is also divide- and mod-free.
- *
- * Licensing is free http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/MT2002/elicense.html
- *
- * The code as Shawn received it included the following notice:
- *
- * Copyright (C) 1997 Makoto Matsumoto and Takuji Nishimura. When
- * you use this, send an e-mail to <matumoto@math.keio.ac.jp> with
- * an appropriate reference to your work.
- *
- * It would be nice to CC: <Cokus@math.washington.edu> when you write.
- */
- #include <stdio.h>
- #include <stdlib.h>
- #include <string.h>
- #include "Rand.h"
- //
- // uint32 must be an unsigned integer type capable of holding at least 32
- // bits; exactly 32 should be fastest, but 64 is better on an Alpha with
- // GCC at -O3 optimization so try your options and see what's best for you
- //
- //typedef unsigned int uint32;
- #define N (624) // length of state vector
- #define M (397) // a period parameter
- #define K (0x9908B0DFU) // a magic constant
- #define hiBit(u) ((u) & 0x80000000U) // mask all but highest bit of u
- #define loBit(u) ((u) & 0x00000001U) // mask all but lowest bit of u
- #define loBits(u) ((u) & 0x7FFFFFFFU) // mask the highest bit of u
- #define mixBits(u, v) (hiBit(u)|loBits(v)) // move hi bit of u to hi bit of v
- static unsigned int _state[ N + 1 ]; // state vector + 1 extra to not violate ANSI C
- static unsigned int *_next; // next random value is computed from here
- static int _left = -1; // can *next++ this many times before reloading
- using namespace RakNet;
- void seedMT( unsigned int seed, unsigned int *state, unsigned int *&next, int &left );
- unsigned int reloadMT( unsigned int *state, unsigned int *&next, int &left );
- unsigned int randomMT( unsigned int *state, unsigned int *&next, int &left );
- void fillBufferMT( void *buffer, unsigned int bytes, unsigned int *state, unsigned int *&next, int &left );
- float frandomMT( unsigned int *state, unsigned int *&next, int &left );
- // Uses global vars
- void seedMT( unsigned int seed )
- {
- seedMT(seed, _state, _next, _left);
- }
- unsigned int reloadMT( void )
- {
- return reloadMT(_state, _next, _left);
- }
- unsigned int randomMT( void )
- {
- return randomMT(_state, _next, _left);
- }
- float frandomMT( void )
- {
- return frandomMT(_state, _next, _left);
- }
- void fillBufferMT( void *buffer, unsigned int bytes )
- {
- fillBufferMT(buffer, bytes, _state, _next, _left);
- }
- void seedMT( unsigned int seed, unsigned int *state, unsigned int *&next, int &left ) // Defined in cokus_c.c
- {
- (void) next;
- //
- // We initialize state[0..(N-1)] via the generator
- //
- // x_new = (69069 * x_old) mod 2^32
- //
- // from Line 15 of Table 1, p. 106, Sec. 3.3.4 of Knuth's
- // _The Art of Computer Programming_, Volume 2, 3rd ed.
- //
- // Notes (SJC): I do not know what the initial state requirements
- // of the Mersenne Twister are, but it seems this seeding generator
- // could be better. It achieves the maximum period for its modulus
- // (2^30) iff x_initial is odd (p. 20-21, Sec. 3.2.1.2, Knuth); if
- // x_initial can be even, you have sequences like 0, 0, 0, ...;
- // 2^31, 2^31, 2^31, ...; 2^30, 2^30, 2^30, ...; 2^29, 2^29 + 2^31,
- // 2^29, 2^29 + 2^31, ..., etc. so I force seed to be odd below.
- //
- // Even if x_initial is odd, if x_initial is 1 mod 4 then
- //
- // the lowest bit of x is always 1,
- // the next-to-lowest bit of x is always 0,
- // the 2nd-from-lowest bit of x alternates ... 0 1 0 1 0 1 0 1 ... ,
- // the 3rd-from-lowest bit of x 4-cycles ... 0 1 1 0 0 1 1 0 ... ,
- // the 4th-from-lowest bit of x has the 8-cycle ... 0 0 0 1 1 1 1 0 ... ,
- // ...
- //
- // and if x_initial is 3 mod 4 then
- //
- // the lowest bit of x is always 1,
- // the next-to-lowest bit of x is always 1,
- // the 2nd-from-lowest bit of x alternates ... 0 1 0 1 0 1 0 1 ... ,
- // the 3rd-from-lowest bit of x 4-cycles ... 0 0 1 1 0 0 1 1 ... ,
- // the 4th-from-lowest bit of x has the 8-cycle ... 0 0 1 1 1 1 0 0 ... ,
- // ...
- //
- // The generator's potency (min. s>=0 with (69069-1)^s = 0 mod 2^32) is
- // 16, which seems to be alright by p. 25, Sec. 3.2.1.3 of Knuth. It
- // also does well in the dimension 2..5 spectral tests, but it could be
- // better in dimension 6 (Line 15, Table 1, p. 106, Sec. 3.3.4, Knuth).
- //
- // Note that the random number user does not see the values generated
- // here directly since reloadMT() will always munge them first, so maybe
- // none of all of this matters. In fact, the seed values made here could
- // even be extra-special desirable if the Mersenne Twister theory says
- // so-- that's why the only change I made is to restrict to odd seeds.
- //
- register unsigned int x = ( seed | 1U ) & 0xFFFFFFFFU, *s = state;
- register int j;
- for ( left = 0, *s++ = x, j = N; --j;
- *s++ = ( x *= 69069U ) & 0xFFFFFFFFU )
- ;
- }
- unsigned int reloadMT( unsigned int *state, unsigned int *&next, int &left )
- {
- register unsigned int * p0 = state, *p2 = state + 2, *pM = state + M, s0, s1;
- register int j;
- if ( left < -1 )
- seedMT( 4357U );
- left = N - 1, next = state + 1;
- for ( s0 = state[ 0 ], s1 = state[ 1 ], j = N - M + 1; --j; s0 = s1, s1 = *p2++ )
- * p0++ = *pM++ ^ ( mixBits( s0, s1 ) >> 1 ) ^ ( loBit( s1 ) ? K : 0U );
- for ( pM = state, j = M; --j; s0 = s1, s1 = *p2++ )
- * p0++ = *pM++ ^ ( mixBits( s0, s1 ) >> 1 ) ^ ( loBit( s1 ) ? K : 0U );
- s1 = state[ 0 ], *p0 = *pM ^ ( mixBits( s0, s1 ) >> 1 ) ^ ( loBit( s1 ) ? K : 0U );
- s1 ^= ( s1 >> 11 );
- s1 ^= ( s1 << 7 ) & 0x9D2C5680U;
- s1 ^= ( s1 << 15 ) & 0xEFC60000U;
- return ( s1 ^ ( s1 >> 18 ) );
- }
- unsigned int randomMT( unsigned int *state, unsigned int *&next, int &left )
- {
- unsigned int y;
- if ( --left < 0 )
- return ( reloadMT(state, next, left) );
- y = *next++;
- y ^= ( y >> 11 );
- y ^= ( y << 7 ) & 0x9D2C5680U;
- y ^= ( y << 15 ) & 0xEFC60000U;
- return ( y ^ ( y >> 18 ) );
- // This change made so the value returned is in the same range as what rand() returns
- // return(y ^ (y >> 18)) % 32767;
- }
- void fillBufferMT( void *buffer, unsigned int bytes, unsigned int *state, unsigned int *&next, int &left )
- {
- unsigned int offset=0;
- unsigned int r;
- while (bytes-offset>=sizeof(r))
- {
- r = randomMT(state, next, left);
- memcpy((char*)buffer+offset, &r, sizeof(r));
- offset+=sizeof(r);
- }
- r = randomMT(state, next, left);
- memcpy((char*)buffer+offset, &r, bytes-offset);
- }
- float frandomMT( unsigned int *state, unsigned int *&next, int &left )
- {
- return ( float ) ( ( double ) randomMT(state, next, left) / 4294967296.0 );
- }
- RakNetRandom::RakNetRandom()
- {
- left=-1;
- }
- RakNetRandom::~RakNetRandom()
- {
- }
- void RakNetRandom::SeedMT( unsigned int seed )
- {
- printf("%i\n",seed);
- seedMT(seed, state, next, left);
- }
- unsigned int RakNetRandom::ReloadMT( void )
- {
- return reloadMT(state, next, left);
- }
- unsigned int RakNetRandom::RandomMT( void )
- {
- return randomMT(state, next, left);
- }
- float RakNetRandom::FrandomMT( void )
- {
- return frandomMT(state, next, left);
- }
- void RakNetRandom::FillBufferMT( void *buffer, unsigned int bytes )
- {
- fillBufferMT(buffer, bytes, state, next, left);
- }
- /*
- int main(void)
- {
- int j;
- // you can seed with any uint32, but the best are odds in 0..(2^32 - 1)
- seedMT(4357U);
- // print the first 2,002 random numbers seven to a line as an example
- for(j=0; j<2002; j++)
- RAKNET_DEBUG_PRINTF(" %10lu%s", (unsigned int) randomMT(), (j%7)==6 ? "\n" : "");
- return(EXIT_SUCCESS);
- }
- */
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