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/*
(c) 2002:cxc@web.fm
randomix: various PRNG's
code taken from: http://remus.rutgers.edu/%7Erhoads/Code/code.html
let's check it out
*/
#include <m_pd.h>
#include <stdlib.h>
#include <math.h>
#define SMALLEST_RANGE .0001
#ifndef RAND_MAX
#define RAND_MAX 2147483647
#endif
static int makeseed(void)
{
static unsigned int random1_nextseed = 1489853723;
random1_nextseed = random1_nextseed * 435898247 + 938284287;
return (random1_nextseed & 0x7fffffff);
}
static int rand_random_fl(int seed) {
int q;
double state;
/* The following parameters are recommended settings based on research
uncomment the one you want. */
double a = 1389796, m = RAND_MAX;
/* static double a = 950975, m = 2147483647; */
/* static double a = 3467255, m = 21474836472; */
/* static double a = 657618, m = 4294967291; */
/* static double a = 93167, m = 4294967291; */
/* static double a = 1345659, m = 4294967291; */
state = seed;
state *= a;
q = state / m;
state -= q*m;
return state;
}
/* -------------------------- dist_normal ------------------------------ */
/* Generate a normal random variable with mean 0 and standard deviation
of 1. To adjust to some other distribution, multiply by the standard
deviation and add the mean. Box-Muller method
note: rand() is a function that returns a uniformly distributed random
number from 0 to RAND_MAX
*/
static t_class *dist_normal_class;
typedef struct _dist_normal
{
t_object x_obj;
t_float x_mn; // mean
t_float x_dv; // deviation
t_float x_u1;
t_float x_u2;
t_float x_f; // lower limit
t_float x_g; // upper limit
unsigned int x_state; // current seed
} t_dist_normal;
static void *dist_normal_new(t_floatarg mn, t_floatarg dv)
{
t_dist_normal *x = (t_dist_normal *)pd_new(dist_normal_class);
x->x_mn = (mn) ? mn : 0;
x->x_dv = (dv) ? dv : 1;
x->x_u1 = 13;
x->x_u2 = 1000;
x->x_f = 0;
x->x_g = RAND_MAX;
//post("cxc/randomix.c: lolim: %f - %f, uplim: %f - %f", x->x_f, f, x->x_g, g);
x->x_state = makeseed();
inlet_new(&x->x_obj, &x->x_obj.ob_pd, &s_float, gensym("fl1"));
// inlet_new(&x->x_obj, &x->x_obj.ob_pd, &s_float, gensym("fl2"));
//outlet_new(&x->x_obj, &s_float);
outlet_new(&x->x_obj, 0);
return (x);
}
static double dist_normal_rand(t_dist_normal *x)
{
int n = x->x_f;
double nval;
double m;
m = (double)RAND_MAX * 2;
// post("cxc/randomix.c: x_state: %d",x->x_state);
x->x_state = rand_random_fl(x->x_state);
//nval = ((double)x->x_state / m) * (double)(x->x_g - x->x_f) + (double)x->x_f;
nval = (double)x->x_state;
return (nval);
}
static void dist_normal_doit(t_dist_normal *x)
{
static double V2, fac;
static int phase = 0;
double S, Z, U1, U2, V1;
if (phase)
Z = V2 * fac;
else
{
do {
/* U1 = (double)rand() / RAND_MAX; */
/* U2 = (double)rand() / RAND_MAX; */
U1 = (double)dist_normal_rand(x) / RAND_MAX;
U2 = (double)dist_normal_rand(x) / RAND_MAX;
// post("cxc/randomix.c: test %f %f %f %f", x->x_u1, x->x_u2, U1, U2);
V1 = 2 * U1 - 1;
V2 = 2 * U2 - 1;
S = V1 * V1 + V2 * V2;
} while(S >= 1);
fac = sqrt (-2 * log(S) / S);
Z = V1 * fac;
}
phase = 1 - phase;
//return Z;
outlet_float(x->x_obj.ob_outlet, Z);
}
static void dist_normal_bang(t_dist_normal *x)
{
/* post("cxc/randomix.c: dist_normal banged"); */
/* post("cxc/randomix.c: RAND_MAX: %d",RAND_MAX); */
/* post("cxc/randomix.c: test: %f %f", x->x_u1, x->x_u2); */
dist_normal_doit(x);
}
void dist_normal_low(t_dist_normal *x, t_floatarg mn)
{
x->x_mn = mn;
}
void dist_normal_upp(t_dist_normal *x, t_floatarg dv)
{
x->x_dv = dv;
}
void dist_normal_float(t_dist_normal *x, t_floatarg r)
{
outlet_float(x->x_obj.ob_outlet, r);
}
void dist_normal_list(t_dist_normal *x, t_symbol *s, int argc, t_atom *argv)
{
outlet_list(x->x_obj.ob_outlet, s, argc, argv);
}
void dist_normal_setup(void)
{
dist_normal_class = class_new(gensym("dist_normal"), (t_newmethod)dist_normal_new, 0,
sizeof(t_dist_normal), 0, A_DEFFLOAT, A_DEFFLOAT, 0);
class_addbang(dist_normal_class, dist_normal_bang);
class_addmethod(dist_normal_class, (t_method)dist_normal_low, gensym("fl1"), A_FLOAT, 0);
// class_addmethod(dist_normal_class, (t_method)dist_normal_upp, gensym("fl2"), A_FLOAT, 0);
class_addlist (dist_normal_class, dist_normal_list);
/* class_addmethod(dist_normal_class, (t_method)dist_normal_seed, */
/* gensym("seed"), A_FLOAT, 0); */
}
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