1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
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. */
/* */
/* ---------------------------------------------------------------------------- */
#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
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"));
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
}
|