diff options
Diffstat (limited to 'gauss.c')
| -rw-r--r-- | gauss.c | 168 |
1 files changed, 84 insertions, 84 deletions
@@ -1,88 +1,88 @@ -/* ---------------------------- rand_gauss ----------------------------------- */
-/* */
-/* rand_gauss generates a gauss distributed random variable. */
-/* Written by Olaf Matthes (olaf.matthes@gmx.de) */
-/* Based on code found in Dodge/Jerse "Computer Music" */
-/* Get source at http://www.akustische-kunst.org/puredata/maxlib/ */
-/* */
-/* This program is free software; you can redistribute it and/or */
-/* modify it under the terms of the GNU General Public License */
-/* as published by the Free Software Foundation; either version 2 */
-/* of the License, or (at your option) any later version. */
-/* */
-/* This program is distributed in the hope that it will be useful, */
-/* but WITHOUT ANY WARRANTY; without even the implied warranty of */
-/* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the */
-/* GNU General Public License for more details. */
-/* */
-/* You should have received a copy of the GNU General Public License */
-/* along with this program; if not, write to the Free Software */
-/* Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. */
-/* */
-/* Based on PureData by Miller Puckette and others. */
-/* */
-/* ---------------------------------------------------------------------------- */
+/* ---------------------------- rand_gauss ----------------------------------- */ +/* */ +/* rand_gauss generates a gauss distributed random variable. */ +/* Written by Olaf Matthes (olaf.matthes@gmx.de) */ +/* Based on code found in Dodge/Jerse "Computer Music" */ +/* Get source at http://www.akustische-kunst.org/puredata/maxlib/ */ +/* */ +/* This program is free software; you can redistribute it and/or */ +/* modify it under the terms of the GNU General Public License */ +/* as published by the Free Software Foundation; either version 2 */ +/* of the License, or (at your option) any later version. */ +/* */ +/* This program is distributed in the hope that it will be useful, */ +/* but WITHOUT ANY WARRANTY; without even the implied warranty of */ +/* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the */ +/* GNU General Public License for more details. */ +/* */ +/* You should have received a copy of the GNU General Public License */ +/* along with this program; if not, write to the Free Software */ +/* Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. */ +/* */ +/* Based on PureData by Miller Puckette and others. */ +/* */ +/* ---------------------------------------------------------------------------- */ #include "m_pd.h" -#include <stdlib.h>
-#include <time.h>
-#include <math.h>
-
-#define fran() (t_float)rand()/(t_float)RAND_MAX
+#include <stdlib.h> +#include <time.h> +#include <math.h> -static char *version = "gauss v0.1, generates a Gaussian distributed random variable\n"
- " with mean 'mu' and standard deviation 'sigma',\n"
- " written by Olaf Matthes <olaf.matthes@gmx.de>";
+#define fran() (t_float)rand()/(t_float)RAND_MAX + +static char *version = "gauss v0.1, generates a Gaussian distributed random variable\n" + " with mean 'mu' and standard deviation 'sigma',\n" + " written by Olaf Matthes <olaf.matthes@gmx.de>"; + +/* -------------------------- rand_gauss ------------------------------ */ + +static t_class *rand_gauss_class; + +typedef struct _rand_gauss +{ + t_object x_obj; + t_float x_sigma; + t_float x_mu; +} t_rand_gauss; + +static void *rand_gauss_new(t_floatarg fs, t_floatarg fm) +{ + t_rand_gauss *x = (t_rand_gauss *)pd_new(rand_gauss_class); + srand( (unsigned)time( NULL ) ); + floatinlet_new(&x->x_obj, &x->x_sigma); + floatinlet_new(&x->x_obj, &x->x_mu); + outlet_new(&x->x_obj, &s_float); + x->x_sigma = fs; + return (x); +} + +static void rand_gauss_bang(t_rand_gauss *x) +{ + t_float u, halfN = 6.0, sum = 0, scale; + t_int k, N = 12; + scale = 1/sqrt(N/12); + for(k = 1; k <= N; k++) + sum += fran(); + outlet_float(x->x_obj.ob_outlet, x->x_sigma*scale*(sum-halfN)+x->x_mu); +} + +#ifndef MAXLIB +void gauss_setup(void) +{ + rand_gauss_class = class_new(gensym("gauss"), (t_newmethod)rand_gauss_new, 0, + sizeof(t_rand_gauss), 0, A_DEFFLOAT, A_DEFFLOAT, 0); + class_addbang(rand_gauss_class, rand_gauss_bang); + class_sethelpsymbol(rand_gauss_class, gensym("gauss-help.pd")); + logpost(NULL, 4, version); +} +#else +void maxlib_gauss_setup(void) +{ + rand_gauss_class = class_new(gensym("maxlib_gauss"), (t_newmethod)rand_gauss_new, 0, + sizeof(t_rand_gauss), 0, A_DEFFLOAT, A_DEFFLOAT, 0); + class_addcreator((t_newmethod)rand_gauss_new, gensym("gauss"), A_DEFFLOAT, 0); + class_addbang(rand_gauss_class, rand_gauss_bang); + class_sethelpsymbol(rand_gauss_class, gensym("maxlib/gauss-help.pd")); +} +#endif -/* -------------------------- rand_gauss ------------------------------ */
-
-static t_class *rand_gauss_class;
-
-typedef struct _rand_gauss
-{
- t_object x_obj;
- t_float x_sigma;
- t_float x_mu;
-} t_rand_gauss;
-
-static void *rand_gauss_new(t_floatarg fs, t_floatarg fm)
-{
- t_rand_gauss *x = (t_rand_gauss *)pd_new(rand_gauss_class);
- srand( (unsigned)time( NULL ) );
- floatinlet_new(&x->x_obj, &x->x_sigma);
- floatinlet_new(&x->x_obj, &x->x_mu);
- outlet_new(&x->x_obj, &s_float);
- x->x_sigma = fs;
- return (x);
-}
-
-static void rand_gauss_bang(t_rand_gauss *x)
-{
- t_float u, halfN = 6.0, sum = 0, scale;
- t_int k, N = 12;
- scale = 1/sqrt(N/12);
- for(k = 1; k <= N; k++)
- sum += fran();
- outlet_float(x->x_obj.ob_outlet, x->x_sigma*scale*(sum-halfN)+x->x_mu);
-}
-
-#ifndef MAXLIB
-void gauss_setup(void)
-{
- rand_gauss_class = class_new(gensym("gauss"), (t_newmethod)rand_gauss_new, 0,
- sizeof(t_rand_gauss), 0, A_DEFFLOAT, A_DEFFLOAT, 0);
- class_addbang(rand_gauss_class, rand_gauss_bang);
- class_sethelpsymbol(rand_gauss_class, gensym("gauss-help.pd"));
- post(version);
-}
-#else
-void maxlib_gauss_setup(void)
-{
- rand_gauss_class = class_new(gensym("maxlib_gauss"), (t_newmethod)rand_gauss_new, 0,
- sizeof(t_rand_gauss), 0, A_DEFFLOAT, A_DEFFLOAT, 0);
- class_addcreator((t_newmethod)rand_gauss_new, gensym("gauss"), A_DEFFLOAT, 0);
- class_addbang(rand_gauss_class, rand_gauss_bang);
- class_sethelpsymbol(rand_gauss_class, gensym("maxlib/gauss-help.pd"));
-}
-#endif
-
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