Actual source code: bvec2.c

  1: /*$Id: bvec2.c,v 1.202 2001/09/12 03:26:24 bsmith Exp $*/
  2: /*
  3:    Implements the sequential vectors.
  4: */

 6:  #include src/vec/vecimpl.h
 7:  #include src/vec/impls/dvecimpl.h
 8:  #include src/inline/dot.h
 9:  #include petscblaslapack.h
 10: #if defined(PETSC_HAVE_PNETCDF)
 11: EXTERN_C_BEGIN
 12: #include "pnetcdf.h"
 13: EXTERN_C_END
 14: #endif
 15: #if defined(PETSC_HAVE_AMS)
 16: EXTERN int PetscViewerAMSGetAMSComm(PetscViewer,AMS_Comm *);
 17: #endif

 21: int VecNorm_Seq(Vec xin,NormType type,PetscReal* z)
 22: {
 23:   PetscScalar *xx;
 24:   int         n=xin->n,ierr,one = 1;

 27:   if (type == NORM_2) {
 28:     VecGetArrayFast(xin,&xx);
 29:     /*
 30:       This is because the Fortran BLAS 1 Norm is very slow! 
 31:     */
 32: #if defined(PETSC_HAVE_SLOW_NRM2)
 33: #if defined(PETSC_USE_FORTRAN_KERNEL_NORM)
 34:     fortrannormsqr_(xx,&n,z);
 35:     *z = sqrt(*z);
 36: #elif defined(PETSC_USE_UNROLLED_NORM)
 37:     {
 38:     PetscReal work = 0.0;
 39:     switch (n & 0x3) {
 40:       case 3: work += PetscRealPart(xx[0]*PetscConj(xx[0])); xx++;
 41:       case 2: work += PetscRealPart(xx[0]*PetscConj(xx[0])); xx++;
 42:       case 1: work += PetscRealPart(xx[0]*PetscConj(xx[0])); xx++; n -= 4;
 43:     }
 44:     while (n>0) {
 45:       work += PetscRealPart(xx[0]*PetscConj(xx[0])+xx[1]*PetscConj(xx[1])+
 46:                         xx[2]*PetscConj(xx[2])+xx[3]*PetscConj(xx[3]));
 47:       xx += 4; n -= 4;
 48:     }
 49:     *z = sqrt(work);}
 50: #else
 51:     {
 52:       int         i;
 53:       PetscScalar sum=0.0;
 54:       for (i=0; i<n; i++) {
 55:         sum += (xx[i])*(PetscConj(xx[i]));
 56:       }
 57:       *z = sqrt(PetscRealPart(sum));
 58:     }
 59: #endif
 60: #else
 61:     *z = BLnrm2_(&n,xx,&one);
 62: #endif
 63:     VecRestoreArrayFast(xin,&xx);
 64:     PetscLogFlops(2*n-1);
 65:   } else if (type == NORM_INFINITY) {
 66:     int          i;
 67:     PetscReal    max = 0.0,tmp;

 69:     VecGetArrayFast(xin,&xx);
 70:     for (i=0; i<n; i++) {
 71:       if ((tmp = PetscAbsScalar(*xx)) > max) max = tmp;
 72:       /* check special case of tmp == NaN */
 73:       if (tmp != tmp) {max = tmp; break;}
 74:       xx++;
 75:     }
 76:     VecRestoreArrayFast(xin,&xx);
 77:     *z   = max;
 78:   } else if (type == NORM_1) {
 79:     VecGetArrayFast(xin,&xx);
 80:     *z = BLasum_(&n,xx,&one);
 81:     VecRestoreArrayFast(xin,&xx);
 82:     PetscLogFlops(n-1);
 83:   } else if (type == NORM_1_AND_2) {
 84:     VecNorm_Seq(xin,NORM_1,z);
 85:     VecNorm_Seq(xin,NORM_2,z+1);
 86:   }
 87:   return(0);
 88: }

 90:  #include petscviewer.h
 91:  #include petscsys.h

 95: int VecView_Seq_File(Vec xin,PetscViewer viewer)
 96: {
 97:   Vec_Seq           *x = (Vec_Seq *)xin->data;
 98:   int               i,n = xin->n,ierr;
 99:   char              *name;
100:   PetscViewerFormat format;

103:   PetscViewerGetFormat(viewer,&format);
104:   if (format == PETSC_VIEWER_ASCII_MATLAB) {
105:     PetscObjectGetName((PetscObject)xin,&name);
106:     PetscViewerASCIIPrintf(viewer,"%s = [\n",name);
107:     for (i=0; i<n; i++) {
108: #if defined(PETSC_USE_COMPLEX)
109:       if (PetscImaginaryPart(x->array[i]) > 0.0) {
110:         PetscViewerASCIIPrintf(viewer,"%18.16e + %18.16ei\n",PetscRealPart(x->array[i]),PetscImaginaryPart(x->array[i]));
111:       } else if (PetscImaginaryPart(x->array[i]) < 0.0) {
112:         PetscViewerASCIIPrintf(viewer,"%18.16e - %18.16ei\n",PetscRealPart(x->array[i]),-PetscImaginaryPart(x->array[i]));
113:       } else {
114:         PetscViewerASCIIPrintf(viewer,"%18.16e\n",PetscRealPart(x->array[i]));
115:       }
116: #else
117:       PetscViewerASCIIPrintf(viewer,"%18.16e\n",x->array[i]);
118: #endif
119:     }
120:     PetscViewerASCIIPrintf(viewer,"];\n");
121:   } else if (format == PETSC_VIEWER_ASCII_SYMMODU) {
122:     for (i=0; i<n; i++) {
123: #if defined(PETSC_USE_COMPLEX)
124:       PetscViewerASCIIPrintf(viewer,"%18.16e %18.16e\n",PetscRealPart(x->array[i]),PetscImaginaryPart(x->array[i]));
125: #else
126:       PetscViewerASCIIPrintf(viewer,"%18.16e\n",x->array[i]);
127: #endif
128:     }
129:   } else {
130:     for (i=0; i<n; i++) {
131:       if (format == PETSC_VIEWER_ASCII_INDEX) {
132:         PetscViewerASCIIPrintf(viewer,"%d: ",i);
133:       }
134: #if defined(PETSC_USE_COMPLEX)
135:       if (PetscImaginaryPart(x->array[i]) > 0.0) {
136:         PetscViewerASCIIPrintf(viewer,"%g + %g i\n",PetscRealPart(x->array[i]),PetscImaginaryPart(x->array[i]));
137:       } else if (PetscImaginaryPart(x->array[i]) < 0.0) {
138:         PetscViewerASCIIPrintf(viewer,"%g - %g i\n",PetscRealPart(x->array[i]),-PetscImaginaryPart(x->array[i]));
139:       } else {
140:         PetscViewerASCIIPrintf(viewer,"%g\n",PetscRealPart(x->array[i]));
141:       }
142: #else
143:       PetscViewerASCIIPrintf(viewer,"%g\n",x->array[i]);
144: #endif
145:     }
146:   }
147:   PetscViewerFlush(viewer);
148:   return(0);
149: }

153: static int VecView_Seq_Draw_LG(Vec xin,PetscViewer v)
154: {
155:   Vec_Seq     *x = (Vec_Seq *)xin->data;
156:   int         i,n = xin->n,ierr;
157:   PetscDraw   win;
158:   PetscReal   *xx;
159:   PetscDrawLG lg;

162:   PetscViewerDrawGetDrawLG(v,0,&lg);
163:   PetscDrawLGGetDraw(lg,&win);
164:   PetscDrawCheckResizedWindow(win);
165:   PetscDrawLGReset(lg);
166:   PetscMalloc((n+1)*sizeof(PetscReal),&xx);
167:   for (i=0; i<n; i++) {
168:     xx[i] = (PetscReal) i;
169:   }
170: #if !defined(PETSC_USE_COMPLEX)
171:   PetscDrawLGAddPoints(lg,n,&xx,&x->array);
172: #else 
173:   {
174:     PetscReal *yy;
175:     PetscMalloc((n+1)*sizeof(PetscReal),&yy);
176:     for (i=0; i<n; i++) {
177:       yy[i] = PetscRealPart(x->array[i]);
178:     }
179:     PetscDrawLGAddPoints(lg,n,&xx,&yy);
180:     PetscFree(yy);
181:   }
182: #endif
183:   PetscFree(xx);
184:   PetscDrawLGDraw(lg);
185:   PetscDrawSynchronizedFlush(win);
186:   return(0);
187: }

191: static int VecView_Seq_Draw(Vec xin,PetscViewer v)
192: {
193:   int               ierr;
194:   PetscDraw         draw;
195:   PetscTruth        isnull;
196:   PetscViewerFormat format;

199:   PetscViewerDrawGetDraw(v,0,&draw);
200:   PetscDrawIsNull(draw,&isnull); if (isnull) return(0);
201: 
202:   PetscViewerGetFormat(v,&format);
203:   /*
204:      Currently it only supports drawing to a line graph */
205:   if (format != PETSC_VIEWER_DRAW_LG) {
206:     PetscViewerPushFormat(v,PETSC_VIEWER_DRAW_LG);
207:   }
208:   VecView_Seq_Draw_LG(xin,v);
209:   if (format != PETSC_VIEWER_DRAW_LG) {
210:     PetscViewerPopFormat(v);
211:   }

213:   return(0);
214: }

218: static int VecView_Seq_Binary(Vec xin,PetscViewer viewer)
219: {
220:   Vec_Seq  *x = (Vec_Seq *)xin->data;
221:   int      ierr,fdes,n = xin->n,cookie=VEC_FILE_COOKIE;
222:   FILE     *file;

225:   PetscViewerBinaryGetDescriptor(viewer,&fdes);
226:   /* Write vector header */
227:   PetscBinaryWrite(fdes,&cookie,1,PETSC_INT,0);
228:   PetscBinaryWrite(fdes,&n,1,PETSC_INT,0);

230:   /* Write vector contents */
231:   PetscBinaryWrite(fdes,x->array,n,PETSC_SCALAR,0);

233:   PetscViewerBinaryGetInfoPointer(viewer,&file);
234:   if (file && xin->bs > 1) {
235:     if (xin->prefix) {
236:       fprintf(file,"-%s_vecload_block_size %d\n",xin->prefix,xin->bs);
237:     } else {
238:       fprintf(file,"-vecload_block_size %d\n",xin->bs);
239:     }
240:   }
241:   return(0);
242: }

246: int VecView_Seq_Netcdf(Vec xin,PetscViewer v)
247: {
248: #if defined(PETSC_HAVE_PNETCDF)
249:   int         n = xin->n,ierr,ncid,xdim,xdim_num=1,xin_id,xstart=0;
250:   MPI_Comm    comm = xin->comm;
251:   PetscScalar *values,*xarray;

254: #if !defined(PETSC_USE_COMPLEX)
255:   VecGetArrayFast(xin,&xarray);
256:   PetscViewerNetcdfGetID(v,&ncid);
257:   if (ncid < 0) SETERRQ(1,"First call PetscViewerNetcdfOpen to create NetCDF dataset");
258:   /* define dimensions */
259:   ncmpi_def_dim(ncid,"PETSc_Vector_Global_Size",n,&xdim);
260:   /* define variables */
261:   ncmpi_def_var(ncid,"PETSc_Vector_Seq",NC_DOUBLE,xdim_num,&xdim,&xin_id);
262:   /* leave define mode */
263:   ncmpi_enddef(ncid);
264:   /* store the vector */
265:   VecGetOwnershipRange(xin,&xstart,PETSC_NULL);
266:   ncmpi_put_vara_double_all(ncid,xin_id,(const size_t*)&xstart,(const size_t*)&n,xarray);
267: #else 
268:     PetscPrintf(PETSC_COMM_WORLD,"NetCDF viewer not supported for complex numbers\n");
269: #endif
270:   return(0);
271: #else
273:   SETERRQ(1,"Build PETSc with NetCDF to use this viewer");
274: #endif
275: }
278: int VecView_Seq(Vec xin,PetscViewer viewer)
279: {
280:   Vec_Seq     *x = (Vec_Seq *)xin->data;
281:   int         ierr;
282:   PetscTruth  isdraw,isascii,issocket,isbinary,ismathematica,isnetcdf;

285:   PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_DRAW,&isdraw);
286:   PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&isascii);
287:   PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_SOCKET,&issocket);
288:   PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_BINARY,&isbinary);
289:   PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_MATHEMATICA,&ismathematica);
290:   PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_NETCDF,&isnetcdf);
291:   if (isdraw){
292:     VecView_Seq_Draw(xin,viewer);
293:   } else if (isascii){
294:     VecView_Seq_File(xin,viewer);
295:   } else if (issocket) {
296:     PetscViewerSocketPutScalar(viewer,xin->n,1,x->array);
297:   } else if (isbinary) {
298:     VecView_Seq_Binary(xin,viewer);
299:   } else if (ismathematica) {
300:     PetscViewerMathematicaPutVector(viewer,xin);
301:  #if defined(PETSC_HAVE_PNETCDF_noneed)
302:   } else if (isnetcdf) {
303:     VecView_Seq_Netcdf(xin,viewer);
304: #endif
305:   } else {
306:     SETERRQ1(1,"Viewer type %s not supported by this vector object",((PetscObject)viewer)->type_name);
307:   }
308:   return(0);
309: }

313: int VecSetValues_Seq(Vec xin,int ni,const int ix[],const PetscScalar y[],InsertMode m)
314: {
315:   Vec_Seq     *x = (Vec_Seq *)xin->data;
316:   PetscScalar *xx = x->array;
317:   int         i;

320:   if (m == INSERT_VALUES) {
321:     for (i=0; i<ni; i++) {
322:       if (ix[i] < 0) continue;
323: #if defined(PETSC_USE_BOPT_g)
324:       if (ix[i] >= xin->n) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %d maximum %d",ix[i],xin->n);
325: #endif
326:       xx[ix[i]] = y[i];
327:     }
328:   } else {
329:     for (i=0; i<ni; i++) {
330:       if (ix[i] < 0) continue;
331: #if defined(PETSC_USE_BOPT_g)
332:       if (ix[i] >= xin->n) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %d maximum %d",ix[i],xin->n);
333: #endif
334:       xx[ix[i]] += y[i];
335:     }
336:   }
337:   return(0);
338: }

342: int VecSetValuesBlocked_Seq(Vec xin,int ni,const int ix[],const PetscScalar yin[],InsertMode m)
343: {
344:   Vec_Seq     *x = (Vec_Seq *)xin->data;
345:   PetscScalar *xx = x->array,*y = (PetscScalar*)yin;
346:   int         i,bs = xin->bs,start,j;

348:   /*
349:        For optimization could treat bs = 2, 3, 4, 5 as special cases with loop unrolling
350:   */
352:   if (m == INSERT_VALUES) {
353:     for (i=0; i<ni; i++) {
354:       start = bs*ix[i];
355:       if (start < 0) continue;
356: #if defined(PETSC_USE_BOPT_g)
357:       if (start >= xin->n) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %d maximum %d",start,xin->n);
358: #endif
359:       for (j=0; j<bs; j++) {
360:         xx[start+j] = y[j];
361:       }
362:       y += bs;
363:     }
364:   } else {
365:     for (i=0; i<ni; i++) {
366:       start = bs*ix[i];
367:       if (start < 0) continue;
368: #if defined(PETSC_USE_BOPT_g)
369:       if (start >= xin->n) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %d maximum %d",start,xin->n);
370: #endif
371:       for (j=0; j<bs; j++) {
372:         xx[start+j] += y[j];
373:       }
374:       y += bs;
375:     }
376:   }
377:   return(0);
378: }


383: int VecDestroy_Seq(Vec v)
384: {
385:   Vec_Seq *vs = (Vec_Seq*)v->data;
386:   int     ierr;


390:   /* if memory was published with AMS then destroy it */
391:   PetscObjectDepublish(v);

393: #if defined(PETSC_USE_LOG)
394:   PetscLogObjectState((PetscObject)v,"Length=%d",v->n);
395: #endif
396:   if (vs->array_allocated) {PetscFree(vs->array_allocated);}
397:   PetscFree(vs);

399:   return(0);
400: }

404: static int VecPublish_Seq(PetscObject obj)
405: {
406: #if defined(PETSC_HAVE_AMS)
407:   Vec          v = (Vec) obj;
408:   Vec_Seq      *s = (Vec_Seq*)v->data;
409:   int          ierr,(*f)(AMS_Memory,char *,Vec);
410: #endif


414: #if defined(PETSC_HAVE_AMS)
415:   /* if it is already published then return */
416:   if (v->amem >=0) return(0);

418:   /* if array in vector was not allocated (for example PCSetUp_BJacobi_Singleblock()) then
419:      cannot AMS publish the object*/
420:   if (!s->array) return(0);

422:   PetscObjectPublishBaseBegin(obj);
423:   AMS_Memory_add_field((AMS_Memory)v->amem,"values",s->array,v->n,AMS_DOUBLE,AMS_READ,
424:                                 AMS_DISTRIBUTED,AMS_REDUCT_UNDEF);

426:   /* if the vector knows its "layout" let it set it*/
427:   PetscObjectQueryFunction(obj,"AMSSetFieldBlock_C",(void (**)(void))&f);
428:   if (f) {
429:     (*f)((AMS_Memory)v->amem,"values",v);
430:   }
431:   PetscObjectPublishBaseEnd(obj);
432: #endif

434:   return(0);
435: }

437: static struct _VecOps DvOps = {VecDuplicate_Seq,
438:             VecDuplicateVecs_Default,
439:             VecDestroyVecs_Default,
440:             VecDot_Seq,
441:             VecMDot_Seq,
442:             VecNorm_Seq,
443:             VecTDot_Seq,
444:             VecMTDot_Seq,
445:             VecScale_Seq,
446:             VecCopy_Seq,
447:             VecSet_Seq,
448:             VecSwap_Seq,
449:             VecAXPY_Seq,
450:             VecAXPBY_Seq,
451:             VecMAXPY_Seq,
452:             VecAYPX_Seq,
453:             VecWAXPY_Seq,
454:             VecPointwiseMult_Seq,
455:             VecPointwiseDivide_Seq,
456:             VecSetValues_Seq,0,0,
457:             VecGetArray_Seq,
458:             VecGetSize_Seq,
459:             VecGetSize_Seq,
460:             VecRestoreArray_Seq,
461:             VecMax_Seq,
462:             VecMin_Seq,
463:             VecSetRandom_Seq,0,
464:             VecSetValuesBlocked_Seq,
465:             VecDestroy_Seq,
466:             VecView_Seq,
467:             VecPlaceArray_Seq,
468:             VecReplaceArray_Seq,
469:             VecDot_Seq,
470:             VecTDot_Seq,
471:             VecNorm_Seq,
472:             VecLoadIntoVector_Default,
473:             VecReciprocal_Default,
474:             0, /* VecViewNative */
475:             VecConjugate_Seq,
476:             0,
477:             0,
478:             VecResetArray_Seq,
479:             0,
480:             VecMaxPointwiseDivide_Seq};


483: /*
484:       This is called by VecCreate_Seq() (i.e. VecCreateSeq()) and VecCreateSeqWithArray()
485: */
488: static int VecCreate_Seq_Private(Vec v,const PetscScalar array[])
489: {
490:   Vec_Seq *s;
491:   int     ierr;

494:   PetscMemcpy(v->ops,&DvOps,sizeof(DvOps));
495:   PetscNew(Vec_Seq,&s);
496:   PetscMemzero(s,sizeof(Vec_Seq));
497:   v->data            = (void*)s;
498:   v->bops->publish   = VecPublish_Seq;
499:   v->n               = PetscMax(v->n,v->N);
500:   v->N               = PetscMax(v->n,v->N);
501:   v->petscnative     = PETSC_TRUE;
502:   s->array           = (PetscScalar *)array;
503:   s->array_allocated = 0;
504:   if (!v->map) {
505:     PetscMapCreateMPI(v->comm,v->n,v->N,&v->map);
506:   }
507:   PetscObjectChangeTypeName((PetscObject)v,VECSEQ);
508: #if defined(PETSC_HAVE_MATLAB_ENGINE) && !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_SINGLE)
509:   PetscObjectComposeFunctionDynamic((PetscObject)v,"PetscMatlabEnginePut_C","VecMatlabEnginePut_Default",VecMatlabEnginePut_Default);
510:   PetscObjectComposeFunctionDynamic((PetscObject)v,"PetscMatlabEngineGet_C","VecMatlabEngineGet_Default",VecMatlabEngineGet_Default);
511: #endif
512:   PetscPublishAll(v);
513:   return(0);
514: }

518: /*@C
519:    VecCreateSeqWithArray - Creates a standard,sequential array-style vector,
520:    where the user provides the array space to store the vector values.

522:    Collective on MPI_Comm

524:    Input Parameter:
525: +  comm - the communicator, should be PETSC_COMM_SELF
526: .  n - the vector length 
527: -  array - memory where the vector elements are to be stored.

529:    Output Parameter:
530: .  V - the vector

532:    Notes:
533:    Use VecDuplicate() or VecDuplicateVecs() to form additional vectors of the
534:    same type as an existing vector.

536:    If the user-provided array is PETSC_NULL, then VecPlaceArray() can be used
537:    at a later stage to SET the array for storing the vector values.

539:    PETSc does NOT free the array when the vector is destroyed via VecDestroy().
540:    The user should not free the array until the vector is destroyed.

542:    Level: intermediate

544:    Concepts: vectors^creating with array

546: .seealso: VecCreateMPIWithArray(), VecCreate(), VecDuplicate(), VecDuplicateVecs(), 
547:           VecCreateGhost(), VecCreateSeq(), VecPlaceArray()
548: @*/
549: int VecCreateSeqWithArray(MPI_Comm comm,int n,const PetscScalar array[],Vec *V)
550: {
551:   int  ierr;

554:   VecCreate(comm,V);
555:   VecSetSizes(*V,n,n);
556:   VecCreate_Seq_Private(*V,array);
557:   return(0);
558: }

560: EXTERN_C_BEGIN
563: int VecCreate_Seq(Vec V)
564: {
565:   Vec_Seq      *s;
566:   PetscScalar  *array;
567:   int          ierr,n = PetscMax(V->n,V->N);

570:   PetscMalloc( ( n > 0 ? n : 1)*sizeof(PetscScalar),&array);
571:   PetscMemzero(array,n*sizeof(PetscScalar));
572:   VecCreate_Seq_Private(V,array);
573:   s    = (Vec_Seq*)V->data;
574:   s->array_allocated = array;
575:   VecSetSerializeType(V,VEC_SER_SEQ_BINARY);
576:   return(0);
577: }

581: int VecSerialize_Seq(MPI_Comm comm, Vec *vec, PetscViewer viewer, PetscTruth store)
582: {
583:   Vec          v;
584:   Vec_Seq     *x;
585:   PetscScalar *array;
586:   int          fd;
587:   int          vars;
588:   int          ierr;

591:   PetscViewerBinaryGetDescriptor(viewer, &fd);
592:   if (store) {
593:     v    = *vec;
594:     x    = (Vec_Seq *) v->data;
595:     PetscBinaryWrite(fd, &v->n,     1,    PETSC_INT,    0);
596:     PetscBinaryWrite(fd,  x->array, v->n, PETSC_SCALAR, 0);
597:   } else {
598:     PetscBinaryRead(fd, &vars,  1,    PETSC_INT);
599:     VecCreate(comm, &v);
600:     VecSetSizes(v, vars, vars);
601:     PetscMalloc(vars * sizeof(PetscScalar), &array);
602:     PetscBinaryRead(fd,  array, vars, PETSC_SCALAR);
603:     VecCreate_Seq_Private(v, array);
604:     ((Vec_Seq *) v->data)->array_allocated = array;

606:     VecAssemblyBegin(v);
607:     VecAssemblyEnd(v);
608:     *vec = v;
609:   }

611:   return(0);
612: }
613: EXTERN_C_END


618: int VecDuplicate_Seq(Vec win,Vec *V)
619: {
620:   int     ierr;

623:   VecCreateSeq(win->comm,win->n,V);
624:   if (win->mapping) {
625:     (*V)->mapping = win->mapping;
626:     PetscObjectReference((PetscObject)win->mapping);
627:   }
628:   if (win->bmapping) {
629:     (*V)->bmapping = win->bmapping;
630:     PetscObjectReference((PetscObject)win->bmapping);
631:   }
632:   (*V)->bs = win->bs;
633:   PetscOListDuplicate(win->olist,&(*V)->olist);
634:   PetscFListDuplicate(win->qlist,&(*V)->qlist);
635:   return(0);
636: }