/**CFile*********************************************************************** FileName [cuddHarwell.c] PackageName [cudd] Synopsis [Function to read a matrix in Harwell format.] Description [External procedures included in this module:
x\[0\] y\[0\] x\[1\] y\[1\] ...0 is the most significant bit. On input, nx and ny hold the numbers of row and column variables already in existence. On output, they hold the numbers of row and column variables actually used by the matrix. m and n are set to the numbers of rows and columns of the matrix. Their values on input are immaterial. Returns 1 on success; 0 otherwise. The ADD for the sparse matrix is returned in E, and its reference count is > 0.] SideEffects [None] SeeAlso [Cudd_addRead Cudd_bddRead] ******************************************************************************/ int Cudd_addHarwell( FILE * fp /* pointer to the input file */, DdManager * dd /* DD manager */, DdNode ** E /* characteristic function of the graph */, DdNode *** x /* array of row variables */, DdNode *** y /* array of column variables */, DdNode *** xn /* array of complemented row variables */, DdNode *** yn_ /* array of complemented column variables */, int * nx /* number or row variables */, int * ny /* number or column variables */, int * m /* number of rows */, int * n /* number of columns */, int bx /* first index of row variables */, int sx /* step of row variables */, int by /* first index of column variables */, int sy /* step of column variables */, int pr /* verbosity level */) { DdNode *one, *zero; DdNode *w; DdNode *cubex, *cubey, *minterm1; int u, v, err, i, j, nv; double val; DdNode **lx, **ly, **lxn, **lyn; /* local copies of x, y, xn, yn_ */ int lnx, lny; /* local copies of nx and ny */ char title[73], key[9], mxtype[4], rhstyp[4]; int totcrd, ptrcrd, indcrd, valcrd, rhscrd, nrow, ncol, nnzero, neltvl, nrhs, nrhsix; int *colptr, *rowind; #if 0 int nguess, nexact; int *rhsptr, *rhsind; #endif if (*nx < 0 || *ny < 0) return(0); one = DD_ONE(dd); zero = DD_ZERO(dd); /* Read the header */ err = fscanf(fp, "%72c %8c", title, key); if (err == EOF) { return(0); } else if (err != 2) { return(0); } title[72] = (char) 0; key[8] = (char) 0; err = fscanf(fp, "%d %d %d %d %d", &totcrd, &ptrcrd, &indcrd, &valcrd, &rhscrd); if (err == EOF) { return(0); } else if (err != 5) { return(0); } err = fscanf(fp, "%3s %d %d %d %d", mxtype, &nrow, &ncol, &nnzero, &neltvl); if (err == EOF) { return(0); } else if (err != 5) { return(0); } /* Skip FORTRAN formats */ if (rhscrd == 0) { err = fscanf(fp, "%*s %*s %*s \n"); } else { err = fscanf(fp, "%*s %*s %*s %*s \n"); } if (err == EOF) { return(0); } else if (err != 0) { return(0); } /* Print out some stuff if requested to be verbose */ if (pr>0) { (void) fprintf(dd->out,"%s: type %s, %d rows, %d columns, %d entries\n", key, mxtype, nrow, ncol, nnzero); if (pr>1) (void) fprintf(dd->out,"%s\n", title); } /* Check matrix type */ if (mxtype[0] != 'R' || mxtype[1] != 'U' || mxtype[2] != 'A') { (void) fprintf(dd->err,"%s: Illegal matrix type: %s\n", key, mxtype); return(0); } if (neltvl != 0) return(0); /* Read optional 5-th line */ if (rhscrd != 0) { err = fscanf(fp, "%3c %d %d", rhstyp, &nrhs, &nrhsix); if (err == EOF) { return(0); } else if (err != 3) { return(0); } rhstyp[3] = (char) 0; if (rhstyp[0] != 'F') { (void) fprintf(dd->err, "%s: Sparse right-hand side not yet supported\n", key); return(0); } if (pr>0) (void) fprintf(dd->out,"%d right-hand side(s)\n", nrhs); } else { nrhs = 0; } /* Compute the number of variables */ /* row and column numbers start from 0 */ u = nrow - 1; for (i=0; u > 0; i++) { u >>= 1; } lnx = i; if (nrhs == 0) { v = ncol - 1; } else { v = 2* (ddMax(ncol, nrhs) - 1); } for (i=0; v > 0; i++) { v >>= 1; } lny = i; /* Allocate or reallocate arrays for variables as needed */ if (*nx == 0) { if (lnx > 0) { *x = lx = ALLOC(DdNode *,lnx); if (lx == NULL) { dd->errorCode = CUDD_MEMORY_OUT; return(0); } *xn = lxn = ALLOC(DdNode *,lnx); if (lxn == NULL) { dd->errorCode = CUDD_MEMORY_OUT; return(0); } } else { *x = *xn = NULL; } } else if (lnx > *nx) { *x = lx = REALLOC(DdNode *, *x, lnx); if (lx == NULL) { dd->errorCode = CUDD_MEMORY_OUT; return(0); } *xn = lxn = REALLOC(DdNode *, *xn, lnx); if (lxn == NULL) { dd->errorCode = CUDD_MEMORY_OUT; return(0); } } else { lx = *x; lxn = *xn; } if (*ny == 0) { if (lny >0) { *y = ly = ALLOC(DdNode *,lny); if (ly == NULL) { dd->errorCode = CUDD_MEMORY_OUT; return(0); } *yn_ = lyn = ALLOC(DdNode *,lny); if (lyn == NULL) { dd->errorCode = CUDD_MEMORY_OUT; return(0); } } else { *y = *yn_ = NULL; } } else if (lny > *ny) { *y = ly = REALLOC(DdNode *, *y, lny); if (ly == NULL) { dd->errorCode = CUDD_MEMORY_OUT; return(0); } *yn_ = lyn = REALLOC(DdNode *, *yn_, lny); if (lyn == NULL) { dd->errorCode = CUDD_MEMORY_OUT; return(0); } } else { ly = *y; lyn = *yn_; } /* Create new variables as needed */ for (i= *nx,nv=bx+(*nx)*sx; i < lnx; i++,nv+=sx) { do { dd->reordered = 0; lx[i] = cuddUniqueInter(dd, nv, one, zero); } while (dd->reordered == 1); if (lx[i] == NULL) return(0); cuddRef(lx[i]); do { dd->reordered = 0; lxn[i] = cuddUniqueInter(dd, nv, zero, one); } while (dd->reordered == 1); if (lxn[i] == NULL) return(0); cuddRef(lxn[i]); } for (i= *ny,nv=by+(*ny)*sy; i < lny; i++,nv+=sy) { do { dd->reordered = 0; ly[i] = cuddUniqueInter(dd, nv, one, zero); } while (dd->reordered == 1); if (ly[i] == NULL) return(0); cuddRef(ly[i]); do { dd->reordered = 0; lyn[i] = cuddUniqueInter(dd, nv, zero, one); } while (dd->reordered == 1); if (lyn[i] == NULL) return(0); cuddRef(lyn[i]); } /* Update matrix parameters */ *nx = lnx; *ny = lny; *m = nrow; if (nrhs == 0) { *n = ncol; } else { *n = (1 << (lny - 1)) + nrhs; } /* Read structure data */ colptr = ALLOC(int, ncol+1); if (colptr == NULL) { dd->errorCode = CUDD_MEMORY_OUT; return(0); } rowind = ALLOC(int, nnzero); if (rowind == NULL) { dd->errorCode = CUDD_MEMORY_OUT; return(0); } for (i=0; i