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[matrix] Diff of /pkg/Matrix/src/Csparse.c
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Diff of /pkg/Matrix/src/Csparse.c

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pkg/src/Csparse.c revision 2279, Fri Oct 3 09:15:54 2008 UTC pkg/Matrix/src/Csparse.c revision 2684, Fri Aug 5 15:17:26 2011 UTC
# Line 1  Line 1 
1                          /* Sparse matrices in compressed column-oriented form */                          /* Sparse matrices in compressed column-oriented form */
2    
3    #include <stdint.h> // C99 for int64_t
4  #include "Csparse.h"  #include "Csparse.h"
5  #include "Tsparse.h"  #include "Tsparse.h"
6  #include "chm_common.h"  #include "chm_common.h"
# Line 32  Line 34 
34      return TRUE;      return TRUE;
35  }  }
36    
37  SEXP Csparse_validate(SEXP x)  SEXP Csparse_validate(SEXP x) {
38        return Csparse_validate_(x, FALSE);
39    }
40    
41    SEXP Csparse_validate2(SEXP x, SEXP maybe_modify) {
42        return Csparse_validate_(x, asLogical(maybe_modify));
43    }
44    
45    SEXP Csparse_validate_(SEXP x, Rboolean maybe_modify)
46  {  {
47      /* NB: we do *NOT* check a potential 'x' slot here, at all */      /* NB: we do *NOT* check a potential 'x' slot here, at all */
48      SEXP pslot = GET_SLOT(x, Matrix_pSym),      SEXP pslot = GET_SLOT(x, Matrix_pSym),
# Line 69  Line 79 
79              }              }
80      }      }
81      if (!sorted) {      if (!sorted) {
82            if(maybe_modify) {
83          CHM_SP chx = (CHM_SP) alloca(sizeof(cholmod_sparse));          CHM_SP chx = (CHM_SP) alloca(sizeof(cholmod_sparse));
84          R_CheckStack();          R_CheckStack();
85          as_cholmod_sparse(chx, x, FALSE, TRUE); /* includes cholmod_sort() ! */              as_cholmod_sparse(chx, x, FALSE, TRUE);/*-> cholmod_l_sort() ! */
86          /* as chx = AS_CHM_SP__(x)  but  ^^^^  sorting x in_place (no copying)*/              /* as chx = AS_CHM_SP__(x)  but  ^^^^ sorting x in_place !!! */
87    
88          /* Now re-check that row indices are *strictly* increasing          /* Now re-check that row indices are *strictly* increasing
89           * (and not just increasing) within each column : */           * (and not just increasing) within each column : */
90          for (j = 0; j < ncol; j++) {          for (j = 0; j < ncol; j++) {
91              for (k = xp[j] + 1; k < xp[j + 1]; k++)              for (k = xp[j] + 1; k < xp[j + 1]; k++)
92                  if (xi[k] == xi[k - 1])                  if (xi[k] == xi[k - 1])
93                      return mkString(_("slot i is not *strictly* increasing inside a column (even after cholmod_sort)"));                          return mkString(_("slot i is not *strictly* increasing inside a column (even after cholmod_l_sort)"));
94                }
95            } else { /* no modifying sorting : */
96                return mkString(_("row indices are not sorted within columns"));
97          }          }
   
98      } else if(!strictly) {  /* sorted, but not strictly */      } else if(!strictly) {  /* sorted, but not strictly */
99          return mkString(_("slot i is not *strictly* increasing inside a column"));          return mkString(_("slot i is not *strictly* increasing inside a column"));
100      }      }
# Line 150  Line 163 
163      return chm_dense_to_SEXP(chxd, 1, Rkind, GET_SLOT(x, Matrix_DimNamesSym));      return chm_dense_to_SEXP(chxd, 1, Rkind, GET_SLOT(x, Matrix_DimNamesSym));
164  }  }
165    
166    // FIXME: do not go via CHM (should not be too hard, to just *drop* the x-slot, right?
167  SEXP Csparse_to_nz_pattern(SEXP x, SEXP tri)  SEXP Csparse_to_nz_pattern(SEXP x, SEXP tri)
168  {  {
169      CHM_SP chxs = AS_CHM_SP__(x);      CHM_SP chxs = AS_CHM_SP__(x);
# Line 163  Line 177 
177                                GET_SLOT(x, Matrix_DimNamesSym));                                GET_SLOT(x, Matrix_DimNamesSym));
178  }  }
179    
180    // n.CMatrix --> [dli].CMatrix  (not going through CHM!)
181    SEXP nz_pattern_to_Csparse(SEXP x, SEXP res_kind)
182    {
183        return nz2Csparse(x, asInteger(res_kind));
184    }
185    // n.CMatrix --> [dli].CMatrix  (not going through CHM!)
186    SEXP nz2Csparse(SEXP x, enum x_slot_kind r_kind)
187    {
188        const char *cl_x = class_P(x);
189        if(cl_x[0] != 'n') error(_("not a 'n.CMatrix'"));
190        if(cl_x[2] != 'C') error(_("not a CsparseMatrix"));
191        int nnz = LENGTH(GET_SLOT(x, Matrix_iSym));
192        SEXP ans;
193        char *ncl = strdup(cl_x);
194        double *dx_x; int *ix_x;
195        ncl[0] = (r_kind == x_double ? 'd' :
196                  (r_kind == x_logical ? 'l' :
197                   /* else (for now):  r_kind == x_integer : */ 'i'));
198        PROTECT(ans = NEW_OBJECT(MAKE_CLASS(ncl)));
199        // create a correct 'x' slot:
200        switch(r_kind) {
201            int i;
202        case x_double: // 'd'
203            dx_x = REAL(ALLOC_SLOT(ans, Matrix_xSym, REALSXP, nnz));
204            for (i=0; i < nnz; i++) dx_x[i] = 1.;
205            break;
206        case x_logical: // 'l'
207            ix_x = LOGICAL(ALLOC_SLOT(ans, Matrix_xSym, LGLSXP, nnz));
208            for (i=0; i < nnz; i++) ix_x[i] = TRUE;
209            break;
210        case x_integer: // 'i'
211            ix_x = INTEGER(ALLOC_SLOT(ans, Matrix_xSym, INTSXP, nnz));
212            for (i=0; i < nnz; i++) ix_x[i] = 1;
213            break;
214    
215        default:
216            error(_("nz2Csparse(): invalid/non-implemented r_kind = %d"),
217                  r_kind);
218        }
219    
220        // now copy all other slots :
221        slot_dup(ans, x, Matrix_iSym);
222        slot_dup(ans, x, Matrix_pSym);
223        slot_dup(ans, x, Matrix_DimSym);
224        slot_dup(ans, x, Matrix_DimNamesSym);
225        if(ncl[1] != 'g') { // symmetric or triangular ...
226            slot_dup_if_has(ans, x, Matrix_uploSym);
227            slot_dup_if_has(ans, x, Matrix_diagSym);
228        }
229        UNPROTECT(1);
230        return ans;
231    }
232    
233  SEXP Csparse_to_matrix(SEXP x)  SEXP Csparse_to_matrix(SEXP x)
234  {  {
235      return chm_dense_to_matrix(cholmod_sparse_to_dense(AS_CHM_SP__(x), &c),      return chm_dense_to_matrix(cholmod_sparse_to_dense(AS_CHM_SP__(x), &c),
# Line 237  Line 304 
304          cha = AS_CHM_SP(a),          cha = AS_CHM_SP(a),
305          chb = AS_CHM_SP(b),          chb = AS_CHM_SP(b),
306          chc = cholmod_ssmult(cha, chb, /*out_stype:*/ 0,          chc = cholmod_ssmult(cha, chb, /*out_stype:*/ 0,
307                               cha->xtype, /*out sorted:*/ 1, &c);                                 /* values:= is_numeric (T/F) */ cha->xtype > 0,
308                                   /*out sorted:*/ 1, &c);
309      const char *cl_a = class_P(a), *cl_b = class_P(b);      const char *cl_a = class_P(a), *cl_b = class_P(b);
310      char diag[] = {'\0', '\0'};      char diag[] = {'\0', '\0'};
311      int uploT = 0;      int uploT = 0;
312      SEXP dn = allocVector(VECSXP, 2);      SEXP dn = PROTECT(allocVector(VECSXP, 2));
313      R_CheckStack();      R_CheckStack();
314    
315    #ifdef DEBUG_Matrix_verbose
316        Rprintf("DBG Csparse_C*_prod(%s, %s)\n", cl_a, cl_b);
317    #endif
318    
319      /* Preserve triangularity and even unit-triangularity if appropriate.      /* Preserve triangularity and even unit-triangularity if appropriate.
320       * Note that in that case, the multiplication itself should happen       * Note that in that case, the multiplication itself should happen
321       * faster.  But there's no support for that in CHOLMOD */       * faster.  But there's no support for that in CHOLMOD */
# Line 265  Line 337 
337                     duplicate(VECTOR_ELT(GET_SLOT(a, Matrix_DimNamesSym), 0)));                     duplicate(VECTOR_ELT(GET_SLOT(a, Matrix_DimNamesSym), 0)));
338      SET_VECTOR_ELT(dn, 1,      SET_VECTOR_ELT(dn, 1,
339                     duplicate(VECTOR_ELT(GET_SLOT(b, Matrix_DimNamesSym), 1)));                     duplicate(VECTOR_ELT(GET_SLOT(b, Matrix_DimNamesSym), 1)));
340        UNPROTECT(1);
341      return chm_sparse_to_SEXP(chc, 1, uploT, /*Rkind*/0, diag, dn);      return chm_sparse_to_SEXP(chc, 1, uploT, /*Rkind*/0, diag, dn);
342  }  }
343    
# Line 278  Line 351 
351      const char *cl_a = class_P(a), *cl_b = class_P(b);      const char *cl_a = class_P(a), *cl_b = class_P(b);
352      char diag[] = {'\0', '\0'};      char diag[] = {'\0', '\0'};
353      int uploT = 0;      int uploT = 0;
354      SEXP dn = allocVector(VECSXP, 2);      SEXP dn = PROTECT(allocVector(VECSXP, 2));
355      R_CheckStack();      R_CheckStack();
356    
357      chTr = cholmod_transpose((tr) ? chb : cha, chb->xtype, &c);      chTr = cholmod_transpose((tr) ? chb : cha, chb->xtype, &c);
# Line 297  Line 370 
370              }              }
371              else diag[0]= 'N';              else diag[0]= 'N';
372          }          }
   
373      SET_VECTOR_ELT(dn, 0,       /* establish dimnames */      SET_VECTOR_ELT(dn, 0,       /* establish dimnames */
374                     duplicate(VECTOR_ELT(GET_SLOT(a, Matrix_DimNamesSym), (tr) ? 0 : 1)));                     duplicate(VECTOR_ELT(GET_SLOT(a, Matrix_DimNamesSym), (tr) ? 0 : 1)));
375      SET_VECTOR_ELT(dn, 1,      SET_VECTOR_ELT(dn, 1,
376                     duplicate(VECTOR_ELT(GET_SLOT(b, Matrix_DimNamesSym), (tr) ? 0 : 1)));                     duplicate(VECTOR_ELT(GET_SLOT(b, Matrix_DimNamesSym), (tr) ? 0 : 1)));
377        UNPROTECT(1);
378      return chm_sparse_to_SEXP(chc, 1, uploT, /*Rkind*/0, diag, dn);      return chm_sparse_to_SEXP(chc, 1, uploT, /*Rkind*/0, diag, dn);
379  }  }
380    
# Line 314  Line 387 
387                                          chb->xtype, &c);                                          chb->xtype, &c);
388      SEXP dn = PROTECT(allocVector(VECSXP, 2));      SEXP dn = PROTECT(allocVector(VECSXP, 2));
389      double one[] = {1,0}, zero[] = {0,0};      double one[] = {1,0}, zero[] = {0,0};
390        int nprot = 2;
391      R_CheckStack();      R_CheckStack();
392        /* Tim Davis, please FIXME:  currently (2010-11) *fails* when  a  is a pattern matrix:*/
393        if(cha->xtype == CHOLMOD_PATTERN) {
394            /* warning(_("Csparse_dense_prod(): cholmod_sdmult() not yet implemented for pattern./ ngCMatrix" */
395            /*        " --> slightly inefficient coercion")); */
396    
397            // This *fails* to produce a CHOLMOD_REAL ..
398            // CHM_SP chd = cholmod_l_copy(cha, cha->stype, CHOLMOD_REAL, &c);
399            // --> use our Matrix-classes
400            SEXP da = PROTECT(nz2Csparse(a, x_double)); nprot++;
401            cha = AS_CHM_SP(da);
402        }
403      cholmod_sdmult(cha, 0, one, zero, chb, chc, &c);      cholmod_sdmult(cha, 0, one, zero, chb, chc, &c);
404      SET_VECTOR_ELT(dn, 0,       /* establish dimnames */      SET_VECTOR_ELT(dn, 0,       /* establish dimnames */
405                     duplicate(VECTOR_ELT(GET_SLOT(a, Matrix_DimNamesSym), 0)));                     duplicate(VECTOR_ELT(GET_SLOT(a, Matrix_DimNamesSym), 0)));
406      SET_VECTOR_ELT(dn, 1,      SET_VECTOR_ELT(dn, 1,
407                     duplicate(VECTOR_ELT(GET_SLOT(b_M, Matrix_DimNamesSym), 1)));                     duplicate(VECTOR_ELT(GET_SLOT(b_M, Matrix_DimNamesSym), 1)));
408      UNPROTECT(2);      UNPROTECT(nprot);
409      return chm_dense_to_SEXP(chc, 1, 0, dn);      return chm_dense_to_SEXP(chc, 1, 0, dn);
410  }  }
411    
# Line 332  Line 416 
416      CHM_DN chb = AS_CHM_DN(b_M);      CHM_DN chb = AS_CHM_DN(b_M);
417      CHM_DN chc = cholmod_allocate_dense(cha->ncol, chb->ncol, cha->ncol,      CHM_DN chc = cholmod_allocate_dense(cha->ncol, chb->ncol, cha->ncol,
418                                          chb->xtype, &c);                                          chb->xtype, &c);
419      SEXP dn = PROTECT(allocVector(VECSXP, 2));      SEXP dn = PROTECT(allocVector(VECSXP, 2)); int nprot = 2;
420      double one[] = {1,0}, zero[] = {0,0};      double one[] = {1,0}, zero[] = {0,0};
421      R_CheckStack();      R_CheckStack();
422        // -- see Csparse_dense_prod() above :
423        if(cha->xtype == CHOLMOD_PATTERN) {
424            SEXP da = PROTECT(nz2Csparse(a, x_double)); nprot++;
425            cha = AS_CHM_SP(da);
426        }
427      cholmod_sdmult(cha, 1, one, zero, chb, chc, &c);      cholmod_sdmult(cha, 1, one, zero, chb, chc, &c);
428      SET_VECTOR_ELT(dn, 0,       /* establish dimnames */      SET_VECTOR_ELT(dn, 0,       /* establish dimnames */
429                     duplicate(VECTOR_ELT(GET_SLOT(a, Matrix_DimNamesSym), 1)));                     duplicate(VECTOR_ELT(GET_SLOT(a, Matrix_DimNamesSym), 1)));
430      SET_VECTOR_ELT(dn, 1,      SET_VECTOR_ELT(dn, 1,
431                     duplicate(VECTOR_ELT(GET_SLOT(b_M, Matrix_DimNamesSym), 1)));                     duplicate(VECTOR_ELT(GET_SLOT(b_M, Matrix_DimNamesSym), 1)));
432      UNPROTECT(2);      UNPROTECT(nprot);
433      return chm_dense_to_SEXP(chc, 1, 0, dn);      return chm_dense_to_SEXP(chc, 1, 0, dn);
434  }  }
435    
# Line 351  Line 439 
439  {  {
440      int trip = asLogical(triplet),      int trip = asLogical(triplet),
441          tr   = asLogical(trans); /* gets reversed because _aat is tcrossprod */          tr   = asLogical(trans); /* gets reversed because _aat is tcrossprod */
442    #ifdef AS_CHM_DIAGU2N_FIXED_FINALLY
443      CHM_TR cht = trip ? AS_CHM_TR(x) : (CHM_TR) NULL;      CHM_TR cht = trip ? AS_CHM_TR(x) : (CHM_TR) NULL;
444    #else /* workaround needed:*/
445        SEXP xx = PROTECT(Tsparse_diagU2N(x));
446        CHM_TR cht = trip ? AS_CHM_TR__(xx) : (CHM_TR) NULL;
447    #endif
448      CHM_SP chcp, chxt,      CHM_SP chcp, chxt,
449          chx = (trip ?          chx = (trip ?
450                 cholmod_triplet_to_sparse(cht, cht->nnz, &c) :                 cholmod_triplet_to_sparse(cht, cht->nnz, &c) :
# Line 373  Line 466 
466                     duplicate(VECTOR_ELT(GET_SLOT(x, Matrix_DimNamesSym),                     duplicate(VECTOR_ELT(GET_SLOT(x, Matrix_DimNamesSym),
467                                          (tr) ? 0 : 1)));                                          (tr) ? 0 : 1)));
468      SET_VECTOR_ELT(dn, 1, duplicate(VECTOR_ELT(dn, 0)));      SET_VECTOR_ELT(dn, 1, duplicate(VECTOR_ELT(dn, 0)));
469    #ifdef AS_CHM_DIAGU2N_FIXED_FINALLY
470      UNPROTECT(1);      UNPROTECT(1);
471    #else
472        UNPROTECT(2);
473    #endif
474      return chm_sparse_to_SEXP(chcp, 1, 0, 0, "", dn);      return chm_sparse_to_SEXP(chcp, 1, 0, 0, "", dn);
475  }  }
476    
477    /* Csparse_drop(x, tol):  drop entries with absolute value < tol, i.e,
478    *  at least all "explicit" zeros */
479  SEXP Csparse_drop(SEXP x, SEXP tol)  SEXP Csparse_drop(SEXP x, SEXP tol)
480  {  {
481      const char *cl = class_P(x);      const char *cl = class_P(x);
# Line 399  Line 498 
498  SEXP Csparse_horzcat(SEXP x, SEXP y)  SEXP Csparse_horzcat(SEXP x, SEXP y)
499  {  {
500      CHM_SP chx = AS_CHM_SP__(x), chy = AS_CHM_SP__(y);      CHM_SP chx = AS_CHM_SP__(x), chy = AS_CHM_SP__(y);
501      int Rkind = 0; /* only for "d" - FIXME */      int Rk_x = (chx->xtype != CHOLMOD_PATTERN) ? Real_kind(x) : 0,
502            Rk_y = (chy->xtype != CHOLMOD_PATTERN) ? Real_kind(y) : 0,
503            Rkind = /* logical if both x and y are */ (Rk_x == 1 && Rk_y == 1) ? 1 : 0;
504      R_CheckStack();      R_CheckStack();
505    
506      /* FIXME: currently drops dimnames */      /* TODO: currently drops dimnames - and we fix at R level */
507      return chm_sparse_to_SEXP(cholmod_horzcat(chx, chy, 1, &c),      return chm_sparse_to_SEXP(cholmod_horzcat(chx, chy, 1, &c),
508                                1, 0, Rkind, "", R_NilValue);                                1, 0, Rkind, "", R_NilValue);
509  }  }
# Line 410  Line 511 
511  SEXP Csparse_vertcat(SEXP x, SEXP y)  SEXP Csparse_vertcat(SEXP x, SEXP y)
512  {  {
513      CHM_SP chx = AS_CHM_SP__(x), chy = AS_CHM_SP__(y);      CHM_SP chx = AS_CHM_SP__(x), chy = AS_CHM_SP__(y);
514      int Rkind = 0; /* only for "d" - FIXME */      int Rk_x = (chx->xtype != CHOLMOD_PATTERN) ? Real_kind(x) : 0,
515            Rk_y = (chy->xtype != CHOLMOD_PATTERN) ? Real_kind(y) : 0,
516            Rkind = /* logical if both x and y are */ (Rk_x == 1 && Rk_y == 1) ? 1 : 0;
517      R_CheckStack();      R_CheckStack();
518    
519      /* FIXME: currently drops dimnames */      /* TODO: currently drops dimnames - and we fix at R level */
520      return chm_sparse_to_SEXP(cholmod_vertcat(chx, chy, 1, &c),      return chm_sparse_to_SEXP(cholmod_vertcat(chx, chy, 1, &c),
521                                1, 0, Rkind, "", R_NilValue);                                1, 0, Rkind, "", R_NilValue);
522  }  }
# Line 477  Line 580 
580      }      }
581  }  }
582    
583    /**
584     * "Indexing" aka subsetting : Compute  x[i,j], also for vectors i and j
585     * Working via CHOLMOD_submatrix, see ./CHOLMOD/MatrixOps/cholmod_submatrix.c
586     * @param x CsparseMatrix
587     * @param i row     indices (0-origin), or NULL (R's)
588     * @param j columns indices (0-origin), or NULL
589     *
590     * @return x[i,j]  still CsparseMatrix --- currently, this loses dimnames
591     */
592  SEXP Csparse_submatrix(SEXP x, SEXP i, SEXP j)  SEXP Csparse_submatrix(SEXP x, SEXP i, SEXP j)
593  {  {
594      CHM_SP chx = AS_CHM_SP__(x);      CHM_SP chx = AS_CHM_SP(x); /* << does diagU2N() when needed */
595      int rsize = (isNull(i)) ? -1 : LENGTH(i),      int rsize = (isNull(i)) ? -1 : LENGTH(i),
596          csize = (isNull(j)) ? -1 : LENGTH(j);          csize = (isNull(j)) ? -1 : LENGTH(j);
597      int Rkind = (chx->xtype != CHOLMOD_PATTERN) ? Real_kind(x) : 0;      int Rkind = (chx->xtype != CHOLMOD_PATTERN) ? Real_kind(x) : 0;
# Line 490  Line 602 
602      if (csize >= 0 && !isInteger(j))      if (csize >= 0 && !isInteger(j))
603          error(_("Index j must be NULL or integer"));          error(_("Index j must be NULL or integer"));
604    
605      return chm_sparse_to_SEXP(cholmod_submatrix(chx, INTEGER(i), rsize,      if (chx->stype) /* symmetricMatrix */
606                                                  INTEGER(j), csize,          /* for now, cholmod_submatrix() only accepts "generalMatrix" */
607            chx = cholmod_copy(chx, /* stype: */ 0, chx->xtype, &c);
608    
609        return chm_sparse_to_SEXP(cholmod_submatrix(chx,
610                                    (rsize < 0) ? NULL : INTEGER(i), rsize,
611                                    (csize < 0) ? NULL : INTEGER(j), csize,
612                                                  TRUE, TRUE, &c),                                                  TRUE, TRUE, &c),
613                                1, 0, Rkind, "",                                1, 0, Rkind, "",
614                                /* FIXME: drops dimnames */ R_NilValue);                                /* FIXME: drops dimnames */ R_NilValue);
615  }  }
616    
617    #define _d_Csp_
618    #include "t_Csparse_subassign.c"
619    
620    #define _l_Csp_
621    #include "t_Csparse_subassign.c"
622    
623    #define _i_Csp_
624    #include "t_Csparse_subassign.c"
625    
626    #define _n_Csp_
627    #include "t_Csparse_subassign.c"
628    
629    #define _z_Csp_
630    #include "t_Csparse_subassign.c"
631    
632    
633    
634  SEXP Csparse_MatrixMarket(SEXP x, SEXP fname)  SEXP Csparse_MatrixMarket(SEXP x, SEXP fname)
635  {  {
636      FILE *f = fopen(CHAR(asChar(fname)), "w");      FILE *f = fopen(CHAR(asChar(fname)), "w");
# Line 588  Line 722 
722          break;          break;
723    
724      default: /* -1 from above */      default: /* -1 from above */
725          error("diag_tC(): invalid 'resultKind'");          error(_("diag_tC(): invalid 'resultKind'"));
726          /* Wall: */ ans = R_NilValue; v = REAL(ans);          /* Wall: */ ans = R_NilValue; v = REAL(ans);
727      }      }
728    
# Line 618  Line 752 
752    
753      return diag_tC_ptr(n, x_p, x_x, perm, resultKind);      return diag_tC_ptr(n, x_p, x_x, perm, resultKind);
754  }  }
755    
756    /**
757     * Create a Csparse matrix object from indices and/or pointers.
758     *
759     * @param cls name of actual class of object to create
760     * @param i optional integer vector of length nnz of row indices
761     * @param j optional integer vector of length nnz of column indices
762     * @param p optional integer vector of length np of row or column pointers
763     * @param np length of integer vector p.  Must be zero if p == (int*)NULL
764     * @param x optional vector of values
765     * @param nnz length of vectors i, j and/or x, whichever is to be used
766     * @param dims optional integer vector of length 2 to be used as
767     *     dimensions.  If dims == (int*)NULL then the maximum row and column
768     *     index are used as the dimensions.
769     * @param dimnames optional list of length 2 to be used as dimnames
770     * @param index1 indicator of 1-based indices
771     *
772     * @return an SEXP of class cls inheriting from CsparseMatrix.
773     */
774    SEXP create_Csparse(char* cls, int* i, int* j, int* p, int np,
775                        void* x, int nnz, int* dims, SEXP dimnames,
776                        int index1)
777    {
778        SEXP ans;
779        int *ij = (int*)NULL, *tri, *trj,
780            mi, mj, mp, nrow = -1, ncol = -1;
781        int xtype = -1;             /* -Wall */
782        CHM_TR T;
783        CHM_SP A;
784    
785        if (np < 0 || nnz < 0)
786            error(_("negative vector lengths not allowed: np = %d, nnz = %d"),
787                  np, nnz);
788        if (1 != ((mi = (i == (int*)NULL)) +
789                  (mj = (j == (int*)NULL)) +
790                  (mp = (p == (int*)NULL))))
791            error(_("exactly 1 of 'i', 'j' or 'p' must be NULL"));
792        if (mp) {
793            if (np) error(_("np = %d, must be zero when p is NULL"), np);
794        } else {
795            if (np) {               /* Expand p to form i or j */
796                if (!(p[0])) error(_("p[0] = %d, should be zero"), p[0]);
797                for (int ii = 0; ii < np; ii++)
798                    if (p[ii] > p[ii + 1])
799                        error(_("p must be non-decreasing"));
800                if (p[np] != nnz)
801                    error("p[np] = %d != nnz = %d", p[np], nnz);
802                ij = Calloc(nnz, int);
803                if (mi) {
804                    i = ij;
805                    nrow = np;
806                } else {
807                    j = ij;
808                    ncol = np;
809                }
810                /* Expand p to 0-based indices */
811                for (int ii = 0; ii < np; ii++)
812                    for (int jj = p[ii]; jj < p[ii + 1]; jj++) ij[jj] = ii;
813            } else {
814                if (nnz)
815                    error(_("Inconsistent dimensions: np = 0 and nnz = %d"),
816                          nnz);
817            }
818        }
819        /* calculate nrow and ncol */
820        if (nrow < 0) {
821            for (int ii = 0; ii < nnz; ii++) {
822                int i1 = i[ii] + (index1 ? 0 : 1); /* 1-based index */
823                if (i1 < 1) error(_("invalid row index at position %d"), ii);
824                if (i1 > nrow) nrow = i1;
825            }
826        }
827        if (ncol < 0) {
828            for (int jj = 0; jj < nnz; jj++) {
829                int j1 = j[jj] + (index1 ? 0 : 1);
830                if (j1 < 1) error(_("invalid column index at position %d"), jj);
831                if (j1 > ncol) ncol = j1;
832            }
833        }
834        if (dims != (int*)NULL) {
835            if (dims[0] > nrow) nrow = dims[0];
836            if (dims[1] > ncol) ncol = dims[1];
837        }
838        /* check the class name */
839        if (strlen(cls) != 8)
840            error(_("strlen of cls argument = %d, should be 8"), strlen(cls));
841        if (!strcmp(cls + 2, "CMatrix"))
842            error(_("cls = \"%s\" does not end in \"CMatrix\""), cls);
843        switch(cls[0]) {
844        case 'd':
845        case 'l':
846            xtype = CHOLMOD_REAL;
847        break;
848        case 'n':
849            xtype = CHOLMOD_PATTERN;
850            break;
851        default:
852            error(_("cls = \"%s\" must begin with 'd', 'l' or 'n'"), cls);
853        }
854        if (cls[1] != 'g')
855            error(_("Only 'g'eneral sparse matrix types allowed"));
856        /* allocate and populate the triplet */
857        T = cholmod_allocate_triplet((size_t)nrow, (size_t)ncol, (size_t)nnz, 0,
858                                     xtype, &c);
859        T->x = x;
860        tri = (int*)T->i;
861        trj = (int*)T->j;
862        for (int ii = 0; ii < nnz; ii++) {
863            tri[ii] = i[ii] - ((!mi && index1) ? 1 : 0);
864            trj[ii] = j[ii] - ((!mj && index1) ? 1 : 0);
865        }
866        /* create the cholmod_sparse structure */
867        A = cholmod_triplet_to_sparse(T, nnz, &c);
868        cholmod_free_triplet(&T, &c);
869        /* copy the information to the SEXP */
870        ans = PROTECT(NEW_OBJECT(MAKE_CLASS(cls)));
871    /* FIXME: This has been copied from chm_sparse_to_SEXP in chm_common.c */
872        /* allocate and copy common slots */
873        nnz = cholmod_nnz(A, &c);
874        dims = INTEGER(ALLOC_SLOT(ans, Matrix_DimSym, INTSXP, 2));
875        dims[0] = A->nrow; dims[1] = A->ncol;
876        Memcpy(INTEGER(ALLOC_SLOT(ans, Matrix_pSym, INTSXP, A->ncol + 1)), (int*)A->p, A->ncol + 1);
877        Memcpy(INTEGER(ALLOC_SLOT(ans, Matrix_iSym, INTSXP, nnz)), (int*)A->i, nnz);
878        switch(cls[1]) {
879        case 'd':
880            Memcpy(REAL(ALLOC_SLOT(ans, Matrix_xSym, REALSXP, nnz)), (double*)A->x, nnz);
881            break;
882        case 'l':
883            error(_("code not yet written for cls = \"lgCMatrix\""));
884        }
885    /* FIXME: dimnames are *NOT* put there yet (if non-NULL) */
886        cholmod_free_sparse(&A, &c);
887        UNPROTECT(1);
888        return ans;
889    }

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