From 71b83fc040b848c98c5065d95ecbc72b0b4f8943 Mon Sep 17 00:00:00 2001 From: Hans-Christoph Steiner Date: Thu, 17 Jan 2013 22:54:00 +0000 Subject: merging maxlib v1.5.5 from branches/pd-extended/0.43 svn path=/trunk/externals/maxlib/; revision=16897 --- cauchy.c | 170 +++++++++++++++++++++++++++++++-------------------------------- 1 file changed, 85 insertions(+), 85 deletions(-) (limited to 'cauchy.c') diff --git a/cauchy.c b/cauchy.c index ee64296..73fcfef 100644 --- a/cauchy.c +++ b/cauchy.c @@ -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 -#include -#include - -#define fran() (t_float)rand()/(t_float)RAND_MAX -#ifndef M_PI -#define M_PI 3.1415927 -#endif +#include +#include +#include -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 "; +#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 "; + +/* -------------------------- 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 +} -- cgit v1.2.1