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#include "mathutils.h"
#define W (32)
#define N (624)
#define M (397)
#define R (31)
#define A (0x9908B0DF)
#define U (11)
#define D (0xFFFFFFFF)
#define S (7)
#define B (0x9D2C5680)
#define T (15)
#define C (0xEFC60000)
#define L (18)
#define F (1812433253)
#define SECONDARY_SEED (4357) //This is the seed prescribed in the Nishimura, Matsumoto C-code implementation
#define U_MASK (((1u << W)-1) & ~(1u << R) - 1) //Create W-R 1's followed by R 0's
#define L_MASK (~U_MASK) //Inversion of the upper bitmask
int x[N];
int i = N;
int seeded = 0;
/*************************************************************
Below is an implementation of the pseudorandom number generator
scheme -known as the Mersenne Twister (MT)- proposed by Matsumoto
and Nishimura (1998). Returns 32-bit integers uniformly at random
in (0, 2^W-1).
The coefficients defined above are taken straight from the
1998 publication.
*************************************************************/
extern void seed_MT19937(int seed){
if(seeded)
{return;}
seeded = 1;
x[0] = seed;
int j;
for(j = 1; j < N; j++)
{x[j] = (((1u << W)-1) & (F*(x[j-1] ^ (x[j-1] >> (W-2))) + j));}
return;
}
extern int rand_MT19937(){
int y;
if(!seeded)
{seed_MT19937(SECONDARY_SEED);}
if(i >= N){ //Once indexer i rolls over N, twist and generate new randoms
int k = 0;
for(;k < N;k++){
y = ((x[k] & U_MASK) | (x[(k+1)] & L_MASK));
x[k] = x[(k+M) % N] ^ (y >> 1) ^ (((y & 0x1) == 0x0) ? 0 : A); //Multiply by twist transformation matrix {0,A}
}
i = 0;
}
y = x[i];
y = y ^ (y >> U);
y = y ^ ((y << S) & B);
y = y ^ ((y << T) & C);
y = y ^ (y >> L);
i += 1;
return y;
}