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#include "m_pd.h"
#define MIN(a,b) (((a)<(b))?(a):(b))
#define MAX(a,b) (((a)>(b))?(a):(b))
static t_class *tab_downsample_average_class;
typedef struct _tab_downsample_average {
t_object x_obj;
t_symbol *x_arrayname_src;
t_symbol *x_arrayname_dst;
int factor;
t_outlet *b_out;
} t_tab_downsample_average;
void *tab_downsample_average_new(t_symbol *s_src,t_symbol *s_dst, t_float factor)
{
t_tab_downsample_average *x = (t_tab_downsample_average *)pd_new(tab_downsample_average_class);
x->x_arrayname_src = s_src;
x->x_arrayname_dst = s_dst;
x->factor = MAX(1, factor);
x->b_out = outlet_new(&x->x_obj, &s_bang);
return (void *)x;
}
void tab_downsample_average_bang(t_tab_downsample_average *x)
{
t_garray *a_src, *a_dst;
int npoints_src, npoints_dst;
t_word *vec_src, *vec_dst;
int nb_max, i, j, index_src;
t_float tmp;
if (!(a_src = (t_garray *)pd_findbyclass(x->x_arrayname_src, garray_class)))
pd_error(x, "%s: no such array", x->x_arrayname_src->s_name);
else if (!garray_getfloatwords(a_src, &npoints_src, &vec_src))
pd_error(x, "%s: bad template for tab_downsample", x->x_arrayname_src->s_name);
else if (!(a_dst = (t_garray *)pd_findbyclass(x->x_arrayname_dst, garray_class)))
pd_error(x, "%s: no such array", x->x_arrayname_dst->s_name);
else if (!garray_getfloatwords(a_dst, &npoints_dst, &vec_dst))
pd_error(x, "%s: bad template for tab_downsample", x->x_arrayname_dst->s_name);
else
{
nb_max = MIN(npoints_src/x->factor, npoints_dst);
// post("nb_max = %d",nb_max);
index_src = 0;
for (i=0; i<nb_max;i++) {
tmp=0;
for (j=0; j<x->factor;j++) {
tmp += vec_src[index_src].w_float;
// post("read : %d, %f",index_src, vec_src[index_src].w_float);
// post("tmp : %f",tmp);
index_src++;
}
vec_dst[i].w_float = tmp / x->factor;
// post("write : %d, %f",i, tmp);
}
garray_redraw(a_dst);
}
outlet_bang(x->b_out);
}
void tab_downsample_average_src(t_tab_downsample_average *x, t_symbol *s_src) {
x->x_arrayname_src = s_src;
}
void tab_downsample_average_dst(t_tab_downsample_average *x, t_symbol *s_dst) {
x->x_arrayname_dst = s_dst;
}
void tab_downsample_average_factor(t_tab_downsample_average *x, t_float factor) {
x->factor = MAX(1, factor);
}
void tab_downsample_average_setup(void) {
tab_downsample_average_class = class_new(gensym("tab_downsample_average"), (t_newmethod)tab_downsample_average_new,
0, sizeof(t_tab_downsample_average), CLASS_DEFAULT, A_DEFSYM, A_DEFSYM, A_DEFFLOAT, 0);
class_addbang(tab_downsample_average_class, tab_downsample_average_bang);
class_addmethod(tab_downsample_average_class, (t_method)tab_downsample_average_src, gensym("src"), A_DEFSYM, 0);
class_addmethod(tab_downsample_average_class, (t_method)tab_downsample_average_dst, gensym("dst"), A_DEFSYM, 0);
class_addmethod(tab_downsample_average_class, (t_method)tab_downsample_average_factor, gensym("factor"), A_DEFFLOAT, 0);
}
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