/* (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 #include #include #define SMALLEST_RANGE .0001 #ifndef RAND_MAX #define RAND_MAX 2147483647 #endif static int makeseed(void); static int rand_random_fl(int); 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(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; } /* -------------------------- random_fl ------------------------------ */ /* An improved (faster) implementation of the Linear Congruential Generator. Has parameters for 6 separate */ /* linear congruence formulas. These formulas are different than those above because the previous formulas won't work */ /* correctly in this implementation. Also, this method only works if your floating point mantissa has at least 53 bits. */ /* linear congruential generator. Generator x[n+1] = a * x[n] mod m */ /* works if your floating pt. mantissa has at least 53 bits. faster than other versions */ static t_class *random_fl_class; typedef struct _random_fl { t_object x_obj; t_float x_f; // lower limit t_float x_g; // upper limit unsigned int x_state; // current seed } t_random_fl; static void *random_fl_new(t_floatarg f, t_floatarg g) { t_random_fl *x = (t_random_fl *)pd_new(random_fl_class); x->x_f = (f) ? f : 0; x->x_g = (g) ? 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); return (x); } void random_fl_bang(t_random_fl *x) { int n = x->x_f; int q; double nval; double m; m = RAND_MAX; x->x_state = rand_random_fl(x->x_state); nval = ((x->x_state / m) * (double)(x->x_g - x->x_f) + (double)x->x_f); outlet_float(x->x_obj.ob_outlet, nval); } void random_fl_low(t_random_fl *x, t_floatarg f) { if(f >= x->x_g) { post("cxc/randomix.c: lower larger than upper, setting to upper - %f = %f", SMALLEST_RANGE, x->x_g - SMALLEST_RANGE); x->x_f = x->x_g - SMALLEST_RANGE; } else x->x_f = f; } void random_fl_upp(t_random_fl *x, t_floatarg f) { if(f <= x->x_f) { post("cxc/randomix.c: upper smaller than lower, setting to lower + %f = %f", SMALLEST_RANGE, x->x_f + SMALLEST_RANGE); x->x_g = x->x_f + SMALLEST_RANGE; } else x->x_g = f; } static void random_fl_seed(t_random_fl *x, float f, float glob) { x->x_state = f; } void random_fl_setup(void) { random_fl_class = class_new(gensym("random_fl"), (t_newmethod)random_fl_new, 0, sizeof(t_random_fl), 0, A_DEFFLOAT, A_DEFFLOAT, 0); class_addbang(random_fl_class, random_fl_bang); class_addmethod(random_fl_class, (t_method)random_fl_low, gensym("fl1"), A_FLOAT, 0); class_addmethod(random_fl_class, (t_method)random_fl_upp, gensym("fl2"), A_FLOAT, 0); class_addmethod(random_fl_class, (t_method)random_fl_seed, gensym("seed"), A_FLOAT, 0); }