/*
 *  iemmatrix
 *
 *  objects for manipulating simple matrices
 *  mostly refering to matlab/octave matrix functions
 *
 * Copyright (c) 2005, Franz Zotter
 * IEM, Graz, Austria
 *
 * For information on usage and redistribution, and for a DISCLAIMER OF ALL
 * WARRANTIES, see the file, "LICENSE.txt," in this distribution.
 *
 */


#include "iemmatrix.h"

static t_class *mtx_cumsum_class;
static t_symbol *row_sym;
static t_symbol *col_sym;
static t_symbol *col_sym2;

typedef struct _MTXCumsum_ MTXCumsum;
struct _MTXCumsum_
{
   t_object x_obj;
   int rows;
   int columns;
   int size;
   int cumsum_direction;
   t_symbol *cumsum_mode;

   t_outlet *list_outlet;

   t_atom *list_out;
   t_atom *list_in;
   t_float *x;
   t_float *y;
};

static void deleteMTXCumsum (MTXCumsum *mtx_cumsum_obj) 
{
   if (mtx_cumsum_obj->list_out)
      freebytes (mtx_cumsum_obj->list_out, sizeof(t_atom)*(mtx_cumsum_obj->size+2));
   if (mtx_cumsum_obj->x)
      freebytes (mtx_cumsum_obj->x, sizeof(t_float)*(mtx_cumsum_obj->size));
   if (mtx_cumsum_obj->y)
      freebytes (mtx_cumsum_obj->y, sizeof(t_float)*(mtx_cumsum_obj->size));
}

static void mTXSetCumsumDirection (MTXCumsum *mtx_cumsum_obj, t_float c_dir)
{
   int direction = (int) c_dir;
   mtx_cumsum_obj->cumsum_direction = (direction==-1)?direction:1;
}

static void mTXSetCumsumMode (MTXCumsum *mtx_cumsum_obj, t_symbol *m_sym)
{
   mtx_cumsum_obj->cumsum_mode = m_sym;
}

static void *newMTXCumsum (t_symbol *s, int argc, t_atom *argv)
{
   MTXCumsum *mtx_cumsum_obj = (MTXCumsum *) pd_new (mtx_cumsum_class);
   mTXSetCumsumMode (mtx_cumsum_obj, gensym(":"));
   mTXSetCumsumDirection (mtx_cumsum_obj, 1.0f);
   if (argc>=1) {
      if (argv[0].a_type == A_SYMBOL) {
	 mTXSetCumsumMode (mtx_cumsum_obj, atom_getsymbol (argv));
	 if (argc>=2) {
	    if (argv[1].a_type != A_SYMBOL)
	       mTXSetCumsumDirection (mtx_cumsum_obj, atom_getfloat (argv+1));
	    else
	       post("mtx_cumsum: 2nd arg ignored. supposed to be float");
	 }
      }
      else {
	 mTXSetCumsumDirection (mtx_cumsum_obj, atom_getfloat (argv));
	 if (argc>=2) {
	    if (argv[1].a_type == A_SYMBOL)
	       mTXSetCumsumMode (mtx_cumsum_obj, atom_getsymbol (argv+1));
	    else
	       post("mtx_cumsum: 2nd arg ignored. supposed to be symbolic, e.g. \"row\", \"col\", \":\"");
	 }
      }
   }

   mtx_cumsum_obj->list_outlet = outlet_new (&mtx_cumsum_obj->x_obj, gensym("matrix"));
   return ((void *) mtx_cumsum_obj);
} 

static void mTXCumsumBang (MTXCumsum *mtx_cumsum_obj)
{
   if (mtx_cumsum_obj->list_out) 
      outlet_anything(mtx_cumsum_obj->list_outlet, gensym("matrix"), 
	    mtx_cumsum_obj->size+2, mtx_cumsum_obj->list_out);
}

static void writeFloatIntoList (int n, t_atom *l, t_float *f) 
{
   for (;n--;f++, l++) 
      SETFLOAT (l, *f);
}
static void readFloatFromList (int n, t_atom *l, t_float *f) 
{
   while (n--) 
      *f++ = atom_getfloat (l++);
}
static void readFloatFromListModulo (int n, int m, t_atom *l, t_float *f) 
{
   t_atom *ptr = l;
   int count1, count2;
   n /= m;
   count1 = m;
   while (count1--) 
      for (count2 = n, ptr = l++; count2--; ptr += m, f++) 
	 *f = atom_getfloat (ptr);
}
static void writeFloatIntoListModulo (int n, int m, t_atom *l, t_float *f) 
{
   t_atom *ptr = l;
   int count1, count2;
   n /= m;
   count1 = m;
   while (count1--) 
      for (count2 = n, ptr = l++; count2--; ptr += m, f++) 
	 SETFLOAT(ptr,*f);
}

static void cumSum (int n, t_float *x, t_float *y)
{
   t_float accu = 0.0f;
   for (;n--; x++, y++) {
      accu += *x;
      *y = accu;
   }
}
static void cumSumReverse (int n, t_float *x, t_float *y)
{
   t_float accu = 0.0f;
   for (;n--; x--, y--) {
      accu += *x;
      *y = accu;
   }
}

static void mTXCumsumMatrix (MTXCumsum *mtx_cumsum_obj, t_symbol *s, 
      int argc, t_atom *argv)
{
   int rows = atom_getint (argv++);
   int columns = atom_getint (argv++);
   int size = rows * columns;
   int list_size = argc - 2;
   t_atom *list_ptr = argv;
   t_atom *list_out = mtx_cumsum_obj->list_out;
   t_float *x = mtx_cumsum_obj->x;
   t_float *y = mtx_cumsum_obj->y;
   int count;

   // size check
   if (!size) {
      post("mtx_cumsum: invalid dimensions");
      return;
   }
   else if (list_size<size) {
      post("mtx_cumsum: sparse matrix not yet supported: use \"mtx_check\"");
      return;
   }
   else if ((!x)||(!list_out)||(!y)) {
      if (!x)
	 x = (t_float *) getbytes (sizeof (t_float) * (size));
      if (!y)
	 y = (t_float *) getbytes (sizeof (t_float) * (size));
      if (!list_out)
	 list_out = (t_atom *) getbytes (sizeof (t_atom) * (size+2));
   }
   else if (size != mtx_cumsum_obj->size) {
      x = (t_float *) resizebytes (x,
	    sizeof (t_float) * (mtx_cumsum_obj->size),
	    sizeof (t_float) * (size));
      y = (t_float *) resizebytes (y,
	    sizeof (t_float) * (mtx_cumsum_obj->size),
	    sizeof (t_float) * (size));
      list_out = (t_atom *) resizebytes (list_out,
	    sizeof (t_atom) * (mtx_cumsum_obj->size+2),
	    sizeof (t_atom) * (size + 2));
   }
   mtx_cumsum_obj->size = size;
   mtx_cumsum_obj->rows = rows;
   mtx_cumsum_obj->columns = columns;
   mtx_cumsum_obj->list_out = list_out;
   mtx_cumsum_obj->x = x;
   mtx_cumsum_obj->y = y;

   // main part
   // reading matrix from inlet
   if ((mtx_cumsum_obj->cumsum_mode == col_sym) ||
	(mtx_cumsum_obj->cumsum_mode == col_sym2)) {
      readFloatFromListModulo (size, columns, list_ptr, x);
      columns = mtx_cumsum_obj->rows;
      rows = mtx_cumsum_obj->columns;
   }
   else
      readFloatFromList (size, list_ptr, x);
   
   // calculating cumsum
   if (mtx_cumsum_obj->cumsum_direction == -1) {
      if ((mtx_cumsum_obj->cumsum_mode == row_sym) ||
	    (mtx_cumsum_obj->cumsum_mode == col_sym) ||
	    (mtx_cumsum_obj->cumsum_mode == col_sym2)) {
	 x += columns-1;
	 y += columns-1;

	 for (count = rows; count--; x += columns, y += columns)
	    cumSumReverse (columns,x,y);
      }
      else {
	 x += size-1;
	 y += size-1;
	 cumSumReverse (size, x, y);
      }
   }
   else if ((mtx_cumsum_obj->cumsum_mode == row_sym) ||
	 (mtx_cumsum_obj->cumsum_mode == col_sym) ||
	 (mtx_cumsum_obj->cumsum_mode == col_sym2))
      for (count = rows; count--; x += columns, y += columns)
	 cumSum (columns,x,y);
   else
      cumSum (size, x, y);

   x = mtx_cumsum_obj->x;
   y = mtx_cumsum_obj->y;

   // writing matrix to outlet
   if ((mtx_cumsum_obj->cumsum_mode == col_sym) ||
	(mtx_cumsum_obj->cumsum_mode == col_sym2)) {
      columns = mtx_cumsum_obj->columns;
      rows = mtx_cumsum_obj->rows;
      writeFloatIntoListModulo (size, columns, list_out+2, y);
   }
   else
      writeFloatIntoList (size, list_out+2, y);

   SETSYMBOL(list_out, gensym("matrix"));
   SETFLOAT(list_out, rows);
   SETFLOAT(&list_out[1], columns);
   outlet_anything(mtx_cumsum_obj->list_outlet, gensym("matrix"), 
	 mtx_cumsum_obj->size+2, list_out);
}

void mtx_cumsum_setup (void)
{
   mtx_cumsum_class = class_new 
      (gensym("mtx_cumsum"),
       (t_newmethod) newMTXCumsum,
       (t_method) deleteMTXCumsum,
       sizeof (MTXCumsum),
       CLASS_DEFAULT, A_GIMME, 0);
   class_addbang (mtx_cumsum_class, (t_method) mTXCumsumBang);
   class_addmethod (mtx_cumsum_class, (t_method) mTXCumsumMatrix, gensym("matrix"), A_GIMME,0);
   class_addmethod (mtx_cumsum_class, (t_method) mTXSetCumsumMode, gensym("mode"), A_DEFSYMBOL,0);
   class_addmethod (mtx_cumsum_class, (t_method) mTXSetCumsumDirection, gensym("direction"), A_DEFFLOAT,0);

   row_sym = gensym("row");
   col_sym = gensym("col");
   col_sym2 = gensym("column");
}

void iemtx_cumsum_setup(void){
  mtx_cumsum_setup();
}