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authorHans-Christoph Steiner <eighthave@users.sourceforge.net>2010-04-26 03:10:47 +0000
committerIOhannes m zmölnig <zmoelnig@iem.at>2015-10-14 13:53:22 +0200
commit8b0873392ad0db55fdb9d0cdfc670366bc96a9c9 (patch)
treedfc09d2f2d60aac05d656906c3729348344da9d7 /src/gauss.c
parent534b4462f8efc240b8b3d76d56613f38d9a9fef4 (diff)
converted maxlib to use libdir template, in preparations for debianizing it
svn path=/trunk/externals/maxlib/; revision=13476
Diffstat (limited to 'src/gauss.c')
-rw-r--r--src/gauss.c88
1 files changed, 0 insertions, 88 deletions
diff --git a/src/gauss.c b/src/gauss.c
deleted file mode 100644
index c1f32bf..0000000
--- a/src/gauss.c
+++ /dev/null
@@ -1,88 +0,0 @@
-/* ---------------------------- 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
-
-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"));
- 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
-