Ejemplo n.º 1
0
int uts_numChildren(Node *parent)
{
  int numChildren = 0;

  /* Determine the number of children */
  if (parent->height == 0) numChildren = (int) floor(b_0);
  else numChildren = uts_numChildren_bin(parent);
  
  // limit number of children
  // only a BIN root can have more than MAXNUMCHILDREN
  if (parent->height == 0) {
    int rootBF = (int) ceil(b_0);
    if (numChildren > rootBF) {
      bots_debug("*** Number of children of root truncated from %d to %d\n", numChildren, rootBF);
      numChildren = rootBF;
    }
  }
  else {
    if (numChildren > MAXNUMCHILDREN) {
      bots_debug("*** Number of children truncated from %d to %d\n", numChildren, MAXNUMCHILDREN);
      numChildren = MAXNUMCHILDREN;
    }
  }

  return numChildren;
}
Ejemplo n.º 2
0
void pairalign_init (char *filename)
{
   int i;

   if (!filename || !filename[0]) {
      bots_error(0, "Please specify an input file with the -f option\n");
   }

   init_matrix();


   nseqs = readseqs(1,filename);

        bots_message("Multiple Pairwise Alignment (%d sequences)\n",nseqs);

   for (i = 1; i <= nseqs; i++)
      bots_debug("Sequence %d: %s %6.d aa\n", i, names[i], seqlen_array[i]);

   ktup          =  1;
   window        =  5;
   signif        =  5;
   gap_open      = 10.0;
   gap_extend    =  0.2;
   pw_go_penalty = 10.0;
   pw_ge_penalty =  0.1;
}
Ejemplo n.º 3
0
Archivo: uts.c Proyecto: kempj/hpxMP
int uts_numChildren(Node *node)
{
  int numChildren = 0;

  // determine the number of children
  if (node->height == 0) numChildren = (int) floor(b_0);
  else
  {
    // distribution is identical everywhere below root
    int    v = rng_rand(node->state.state);	
    double d = rng_toProb(v);
    numChildren = (d < nonLeafProb) ? nonLeafBF : 0;
  }
  
  // limit number of children (only a BIN root can have more than MAXNUMCHILDREN)
  if (node->height != 0) {
    if (numChildren > MAXNUMCHILDREN) {
      bots_debug("*** Number of children truncated from %d to %d\n", numChildren, MAXNUMCHILDREN);
      numChildren = MAXNUMCHILDREN;
    }
  }

  /* including info into node */
  node->numChildren = numChildren;

  return numChildren;
}
Ejemplo n.º 4
0
void align_end ()
{
   int i,j;
   for(i = 0; i<nseqs; i++)
      for(j = 0; j<nseqs; j++)
         if (bench_output[i*nseqs+j] != 0)
            bots_debug("Benchmark sequences (%d:%d) Aligned. Score: %d\n", i+1 , j+1 , (int) bench_output[i*nseqs+j]);

}
Ejemplo n.º 5
0
/***********************************************************************
 * genmat: 
 **********************************************************************/
void genmat (float *M[])
{
   int null_entry, init_val, i, j, ii, jj;
   float *p;
   int a=0,b=0;

   init_val = 1325;

   /* generating the structure */
   for (ii=0; ii < bots_arg_size; ii++)
   {
      for (jj=0; jj < bots_arg_size; jj++)
      {
         /* computing null entries */
         null_entry=FALSE;
         if ((ii<jj) && (ii%3 !=0)) null_entry = TRUE;
         if ((ii>jj) && (jj%3 !=0)) null_entry = TRUE;
	 if (ii%2==1) null_entry = TRUE;
	 if (jj%2==1) null_entry = TRUE;
	 if (ii==jj) null_entry = FALSE;
	 if (ii==jj-1) null_entry = FALSE;
         if (ii-1 == jj) null_entry = FALSE; 
         /* allocating matrix */
         if (null_entry == FALSE){
            a++;
            M[ii*bots_arg_size+jj] = (float *) malloc(bots_arg_size_1*bots_arg_size_1*sizeof(float));
	    if ((M[ii*bots_arg_size+jj] == NULL))
            {
               bots_message("Error: Out of memory\n");
               exit(101);
            }
            /* initializing matrix */
            p = M[ii*bots_arg_size+jj];
            for (i = 0; i < bots_arg_size_1; i++) 
            {
               for (j = 0; j < bots_arg_size_1; j++)
               {
	            init_val = (3125 * init_val) % 65536;
      	            (*p) = (float)((init_val - 32768.0) / 16384.0);
                    p++;
               }
            }
         }
         else
         {
            b++;
            M[ii*bots_arg_size+jj] = NULL;
         }
      }
   }
   bots_debug("allo = %d, no = %d, total = %d, factor = %f\n",a,b,a+b,(float)((float)a/(float)(a+b)));
}
Ejemplo n.º 6
0
void my_print(struct Village *village)
{
   struct Village *vlist;
   struct Patient *plist;

   if (village == NULL) return;

   /* Traverse village hierarchy (lower level first)*/
   vlist = village->forward;
   while(vlist) {
      my_print(vlist);
      vlist = vlist->next;
   }

   plist = village->population;

   while (plist != NULL) {
      bots_debug("[pid:%d]",plist->id);
      plist = plist->forward; 
   }
   bots_debug("[vid:%d]\n",village->id);

}
Ejemplo n.º 7
0
int add_cell(int id, coor FOOTPRINT, ibrd BOARD, struct cell *CELLS) {
	int  i, j, nn, area, nnc,nnl;

	ibrd board;
	coor footprint, NWS[DMAX];

	nnc = 0;
	nnl = 0;

	/* for each possible shape */
	for (i = 0; i < CELLS[id].n; i++) {
		/* compute all possible locations for nw corner */
		nn = starts(id, i, NWS, CELLS);
		nnl += nn;
		/* for all possible locations */
		for (j = 0; j < nn; j++) {
#pragma omp task untied private(board, footprint,area) \
	firstprivate(NWS,i,j,id,nn) \
	shared(FOOTPRINT,BOARD,CELLS,MIN_AREA,MIN_FOOTPRINT,N,BEST_BOARD,nnc,bots_verbose_mode) 
			{
				struct cell cells[N+1];
				memcpy(cells,CELLS,sizeof(struct cell)*(N+1));
				/* extent of shape */
				cells[id].top = NWS[j][0];
				cells[id].bot = cells[id].top + cells[id].alt[i][0] - 1;
				cells[id].lhs = NWS[j][1];
				cells[id].rhs = cells[id].lhs + cells[id].alt[i][1] - 1;

				memcpy(board, BOARD, sizeof(ibrd));

				/* if the cell cannot be layed down, prune search */
				if (! lay_down(id, board, cells)) {
					bots_debug("Chip %d, shape %d does not fit\n", id, i);
				} else {
					/* calculate new footprint of board and area of footprint */
					footprint[0] = max(FOOTPRINT[0], cells[id].bot+1);
					footprint[1] = max(FOOTPRINT[1], cells[id].rhs+1);
					area         = footprint[0] * footprint[1];

					/* if last cell */
					if (cells[id].next == 0) {

						/* if area is minimum, update global values */
						if (area < MIN_AREA) {
	#pragma omp critical
							if (area < MIN_AREA) {
								MIN_AREA         = area;
								MIN_FOOTPRINT[0] = footprint[0];
								MIN_FOOTPRINT[1] = footprint[1];
								memcpy(BEST_BOARD, board, sizeof(ibrd));
								bots_debug("N  %d\n", MIN_AREA);
							}
						}

						/* if area is less than best area */
					} else if (area < MIN_AREA) {
						int val = add_cell(cells[id].next, footprint, board,cells);
	#pragma omp atomic
						nnc += val;
						/* if area is greater than or equal to best area, prune search */
					} else {

						bots_debug("T  %d, %d\n", area, MIN_AREA);

					}
				}
			}
		}
	}
#pragma omp taskwait
	return nnc+nnl;
}