diff options
Diffstat (limited to 'cauchy.c')
| -rw-r--r-- | cauchy.c | 170 |
1 files changed, 85 insertions, 85 deletions
@@ -1,89 +1,89 @@ -/* ---------------------------- rand_cauchy ----------------------------------- */
-/* */
-/* rand_cauchy generates a Cauchy 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_cauchy ----------------------------------- */ +/* */ +/* rand_cauchy generates a Cauchy 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
-#ifndef M_PI
-#define M_PI 3.1415927
-#endif
+#include <stdlib.h> +#include <time.h> +#include <math.h> -static char *version = "cauchy v0.1, generates a Cauchy distributed random variable\n"
- " with a spread governed by to parameter 'aplha',\n"
- " written by Olaf Matthes <olaf.matthes@gmx.de>";
+#define fran() (t_float)rand()/(t_float)RAND_MAX +#ifndef M_PI +#define M_PI 3.1415927 +#endif -/* -------------------------- rand_cauchy ------------------------------ */
-
-static t_class *rand_cauchy_class;
-
-typedef struct _rand_cauchy
-{
- t_object x_obj;
- t_float x_alpha;
-} t_rand_cauchy;
-
-static void *rand_cauchy_new(t_floatarg f)
-{
- t_rand_cauchy *x = (t_rand_cauchy *)pd_new(rand_cauchy_class);
- srand( (unsigned)time( NULL ) );
- floatinlet_new(&x->x_obj, &x->x_alpha);
- outlet_new(&x->x_obj, &s_float);
- x->x_alpha = f;
- return (x);
-}
-
-static void rand_cauchy_bang(t_rand_cauchy *x)
-{
- t_float u;
- do
- {
- u = fran();
- }
- while(u == 0.5);
- u *= M_PI;
- outlet_float(x->x_obj.ob_outlet, x->x_alpha*tan(u));
-}
-
-#ifndef MAXLIB
-void cauchy_setup(void)
-{
- rand_cauchy_class = class_new(gensym("cauchy"), (t_newmethod)rand_cauchy_new, 0,
- sizeof(t_rand_cauchy), 0, A_DEFFLOAT, 0);
- class_addbang(rand_cauchy_class, rand_cauchy_bang);
- class_sethelpsymbol(rand_cauchy_class, gensym("cauchy-help.pd"));
- post(version);
-#else
-void maxlib_cauchy_setup(void)
-{
- rand_cauchy_class = class_new(gensym("maxlib_cauchy"), (t_newmethod)rand_cauchy_new, 0,
- sizeof(t_rand_cauchy), 0, A_DEFFLOAT, 0);
- class_addbang(rand_cauchy_class, rand_cauchy_bang);
- class_addcreator((t_newmethod)rand_cauchy_new, gensym("cauchy"), A_DEFFLOAT, 0);
- class_sethelpsymbol(rand_cauchy_class, gensym("maxlib/cauchy-help.pd"));
-#endif
-}
+static char *version = "cauchy v0.1, generates a Cauchy distributed random variable\n" + " with a spread governed by to parameter 'aplha',\n" + " written by Olaf Matthes <olaf.matthes@gmx.de>"; + +/* -------------------------- rand_cauchy ------------------------------ */ + +static t_class *rand_cauchy_class; + +typedef struct _rand_cauchy +{ + t_object x_obj; + t_float x_alpha; +} t_rand_cauchy; + +static void *rand_cauchy_new(t_floatarg f) +{ + t_rand_cauchy *x = (t_rand_cauchy *)pd_new(rand_cauchy_class); + srand( (unsigned)time( NULL ) ); + floatinlet_new(&x->x_obj, &x->x_alpha); + outlet_new(&x->x_obj, &s_float); + x->x_alpha = f; + return (x); +} + +static void rand_cauchy_bang(t_rand_cauchy *x) +{ + t_float u; + do + { + u = fran(); + } + while(u == 0.5); + u *= M_PI; + outlet_float(x->x_obj.ob_outlet, x->x_alpha*tan(u)); +} + +#ifndef MAXLIB +void cauchy_setup(void) +{ + rand_cauchy_class = class_new(gensym("cauchy"), (t_newmethod)rand_cauchy_new, 0, + sizeof(t_rand_cauchy), 0, A_DEFFLOAT, 0); + class_addbang(rand_cauchy_class, rand_cauchy_bang); + class_sethelpsymbol(rand_cauchy_class, gensym("cauchy-help.pd")); + logpost(NULL, 4, version); +#else +void maxlib_cauchy_setup(void) +{ + rand_cauchy_class = class_new(gensym("maxlib_cauchy"), (t_newmethod)rand_cauchy_new, 0, + sizeof(t_rand_cauchy), 0, A_DEFFLOAT, 0); + class_addbang(rand_cauchy_class, rand_cauchy_bang); + class_addcreator((t_newmethod)rand_cauchy_new, gensym("cauchy"), A_DEFFLOAT, 0); + class_sethelpsymbol(rand_cauchy_class, gensym("maxlib/cauchy-help.pd")); +#endif +} |