This file is indexed.

/usr/include/deal.II/lac/trilinos_parallel_block_vector.h is in libdeal.ii-dev 8.1.0-6ubuntu1.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
// ---------------------------------------------------------------------
// $Id: trilinos_parallel_block_vector.h 31932 2013-12-08 02:15:54Z heister $
//
// Copyright (C) 2008 - 2013 by the deal.II authors
//
// This file is part of the deal.II library.
//
// The deal.II library is free software; you can use it, redistribute
// it, and/or modify it under the terms of the GNU Lesser General
// Public License as published by the Free Software Foundation; either
// version 2.1 of the License, or (at your option) any later version.
// The full text of the license can be found in the file LICENSE at
// the top level of the deal.II distribution.
//
// ---------------------------------------------------------------------

#ifndef __deal2__trilinos_parallel_block_vector_h
#define __deal2__trilinos_parallel_block_vector_h


#include <deal.II/base/config.h>

#ifdef DEAL_II_WITH_TRILINOS

#  include <deal.II/lac/trilinos_vector.h>
#  include <deal.II/lac/block_indices.h>
#  include <deal.II/lac/block_vector_base.h>
#  include <deal.II/lac/exceptions.h>

DEAL_II_NAMESPACE_OPEN

// forward declaration
template <typename Number> class BlockVector;

/*! @addtogroup TrilinosWrappers
 *@{
 */

namespace TrilinosWrappers
{
  // forward declaration
  namespace MPI
  {
    class BlockVector;
  }
  class BlockVector;
  class BlockSparseMatrix;


  namespace MPI
  {
    /**
     * An implementation of block vectors based on the vector class
     * implemented in TrilinosWrappers. While the base class provides for
     * most of the interface, this class handles the actual allocation of
     * vectors and provides functions that are specific to the underlying
     * vector type.
     *
     * The model of distribution of data is such that each of the blocks
     * is distributed across all MPI processes named in the MPI
     * communicator. I.e. we don't just distribute the whole vector, but
     * each component. In the constructors and reinit() functions, one
     * therefore not only has to specify the sizes of the individual
     * blocks, but also the number of elements of each of these blocks to
     * be stored on the local process.
     *
     * @ingroup Vectors
     * @ingroup TrilinosWrappers
     * @see @ref GlossBlockLA "Block (linear algebra)"
     * @author Martin Kronbichler, Wolfgang Bangerth, 2008, 2009
     */
    class BlockVector : public BlockVectorBase<Vector>
    {
    public:
      /**
       * Typedef the base class for simpler
       * access to its own typedefs.
       */
      typedef BlockVectorBase<Vector> BaseClass;

      /**
       * Typedef the type of the underlying
       * vector.
       */
      typedef BaseClass::BlockType  BlockType;

      /**
       * Import the typedefs from the base
       * class.
       */
      typedef BaseClass::value_type      value_type;
      typedef BaseClass::pointer         pointer;
      typedef BaseClass::const_pointer   const_pointer;
      typedef BaseClass::reference       reference;
      typedef BaseClass::const_reference const_reference;
      typedef BaseClass::size_type       size_type;
      typedef BaseClass::iterator        iterator;
      typedef BaseClass::const_iterator  const_iterator;

      /**
       * Default constructor. Generate an
       * empty vector without any blocks.
       */
      BlockVector ();

      /**
       * Constructor. Generate a block
       * vector with as many blocks as
       * there are entries in @p
       * partitioning. Each Epetra_Map
       * contains the layout of the
       * distribution of data among the MPI
       * processes.
       */
      explicit BlockVector (const std::vector<Epetra_Map> &parallel_partitioning);

      /**
       * Constructor. Generate a block
       * vector with as many blocks as
       * there are entries in
       * @p partitioning.  Each IndexSet
       * together with the MPI communicator
       * contains the layout of the
       * distribution of data among the MPI
       * processes.
       */
      explicit BlockVector (const std::vector<IndexSet> &parallel_partitioning,
                            const MPI_Comm              &communicator = MPI_COMM_WORLD);

      /**
       * Creates a BlockVector with ghost elements. @p ghost_values
       * may contain any elements in @p parallel_partitioning, they will
       * be ignored.
       */
      BlockVector (const std::vector<IndexSet> &parallel_partitioning,
                   const std::vector<IndexSet> &ghost_values,
                   const MPI_Comm              &communicator);


      /**
       * Copy-Constructor. Set all the
       * properties of the parallel vector
       * to those of the given argument and
       * copy the elements.
       */
      BlockVector (const BlockVector  &V);

      /**
       * Creates a block vector
       * consisting of
       * <tt>num_blocks</tt>
       * components, but there is no
       * content in the individual
       * components and the user has to
       * fill appropriate data using a
       * reinit of the blocks.
       */
      explicit BlockVector (const size_type num_blocks);

      /**
       * Destructor. Clears memory
       */
      ~BlockVector ();

      /**
       * Copy operator: fill all
       * components of the vector that
       * are locally stored with the
       * given scalar value.
       */
      BlockVector &
      operator = (const value_type s);

      /**
       * Copy operator for arguments of
       * the same type.
       */
      BlockVector &
      operator = (const BlockVector &V);

      /**
       * Copy operator for arguments of
       * the localized Trilinos vector
       * type.
       */
      BlockVector &
      operator = (const ::dealii::TrilinosWrappers::BlockVector &V);

      /**
       * Another copy function. This
       * one takes a deal.II block
       * vector and copies it into a
       * TrilinosWrappers block
       * vector. Note that the number
       * of blocks has to be the same
       * in the vector as in the input
       * vector. Use the reinit()
       * command for resizing the
       * BlockVector or for changing
       * the internal structure of the
       * block components.
       *
       * Since Trilinos only works on
       * doubles, this function is
       * limited to accept only one
       * possible number type in the
       * deal.II vector.
       */
      template <typename Number>
      BlockVector &
      operator = (const ::dealii::BlockVector<Number> &V);

      /**
       * Reinitialize the BlockVector to
       * contain as many blocks as there
       * are Epetra_Maps given in the input
       * argument, according to the
       * parallel distribution of the
       * individual components described
       * in the maps.
       *
       * If <tt>fast==false</tt>, the vector
       * is filled with zeros.
       */
      void reinit (const std::vector<Epetra_Map> &parallel_partitioning,
                   const bool                     fast = false);

      /**
       * Reinitialize the BlockVector to
       * contain as many blocks as there
       * are index sets given in the input
       * argument, according to the
       * parallel distribution of the
       * individual components described
       * in the maps.
       *
       * If <tt>fast==false</tt>, the vector
       * is filled with zeros.
       */
      void reinit (const std::vector<IndexSet> &parallel_partitioning,
                   const MPI_Comm              &communicator = MPI_COMM_WORLD,
                   const bool                   fast = false);
      /**
       * like above, but with a second set of indices for
       * ghost entries.
       */
      void reinit (const std::vector<IndexSet> &partitioning,
                   const std::vector<IndexSet> &ghost_values,
                   const MPI_Comm              &communicator = MPI_COMM_WORLD);


      /**
       * Change the dimension to that
       * of the vector <tt>V</tt>. The same
       * applies as for the other
       * reinit() function.
       *
       * The elements of <tt>V</tt> are not
       * copied, i.e.  this function is
       * the same as calling <tt>reinit
       * (V.size(), fast)</tt>.
       *
       * Note that you must call this
       * (or the other reinit()
       * functions) function, rather
       * than calling the reinit()
       * functions of an individual
       * block, to allow the block
       * vector to update its caches of
       * vector sizes. If you call
       * reinit() on one of the
       * blocks, then subsequent
       * actions on this object may
       * yield unpredictable results
       * since they may be routed to
       * the wrong block.
       */
      void reinit (const BlockVector &V,
                   const bool fast = false);

      /**
       * Change the number of blocks to
       * <tt>num_blocks</tt>. The individual
       * blocks will get initialized with
       * zero size, so it is assumed that
       * the user resizes the
       * individual blocks by herself
       * in an appropriate way, and
       * calls <tt>collect_sizes</tt>
       * afterwards.
       */
      void reinit (const size_type num_blocks);

      /**
       * This reinit function is meant to
       * be used for parallel
       * calculations where some
       * non-local data has to be
       * used. The typical situation
       * where one needs this function is
       * the call of the
       * FEValues<dim>::get_function_values
       * function (or of some
       * derivatives) in parallel. Since
       * it is usually faster to retrieve
       * the data in advance, this
       * function can be called before
       * the assembly forks out to the
       * different processors. What this
       * function does is the following:
       * It takes the information in the
       * columns of the given matrix and
       * looks which data couples between
       * the different processors. That
       * data is then queried from the
       * input vector. Note that you
       * should not write to the
       * resulting vector any more, since
       * the some data can be stored
       * several times on different
       * processors, leading to
       * unpredictable results. In
       * particular, such a vector cannot
       * be used for matrix-vector
       * products as for example done
       * during the solution of linear
       * systems.
       */
      void import_nonlocal_data_for_fe (const TrilinosWrappers::BlockSparseMatrix &m,
                                        const BlockVector                         &v);


      /**
       * use compress(VectorOperation) instead
       *
       * @deprecated
       *
       * See @ref GlossCompress "Compressing
       * distributed objects" for more
       * information.
       */
      void compress (const Epetra_CombineMode last_action) DEAL_II_DEPRECATED;

      /**
       * so it is not hidden
       */
      using BlockVectorBase<Vector>::compress;


      /**
       * Returns the state of the
       * vector, i.e., whether
       * compress() needs to be
       * called after an operation
       * requiring data
       * exchange. Does only return
       * non-true values when used in
       * <tt>debug</tt> mode, since
       * it is quite expensive to
       * keep track of all operations
       * that lead to the need for
       * compress().
       */
      bool is_compressed () const;

      /**
       * Returns if this Vector contains ghost elements.
       */
      bool has_ghost_elements() const;

      /**
       * Swap the contents of this
       * vector and the other vector
       * <tt>v</tt>. One could do this
       * operation with a temporary
       * variable and copying over the
       * data elements, but this
       * function is significantly more
       * efficient since it only swaps
       * the pointers to the data of
       * the two vectors and therefore
       * does not need to allocate
       * temporary storage and move
       * data around.
       *
       * Limitation: right now this
       * function only works if both
       * vectors have the same number
       * of blocks. If needed, the
       * numbers of blocks should be
       * exchanged, too.
       *
       * This function is analog to the
       * the swap() function of all C++
       * standard containers. Also,
       * there is a global function
       * swap(u,v) that simply calls
       * <tt>u.swap(v)</tt>, again in analogy
       * to standard functions.
       */
      void swap (BlockVector &v);

      /**
       * Print to a stream.
       */
      void print (std::ostream       &out,
                  const unsigned int  precision = 3,
                  const bool          scientific = true,
                  const bool          across = true) const;

      /**
       * Exception
       */
      DeclException0 (ExcIteratorRangeDoesNotMatchVectorSize);

      /**
       * Exception
       */
      DeclException0 (ExcNonMatchingBlockVectors);
    };



    /*----------------------- Inline functions ----------------------------------*/


    inline
    BlockVector::BlockVector ()
    {}



    inline
    BlockVector::BlockVector (const std::vector<Epetra_Map> &parallel_partitioning)
    {
      reinit (parallel_partitioning, false);
    }



    inline
    BlockVector::BlockVector (const std::vector<IndexSet> &parallel_partitioning,
                              const MPI_Comm              &communicator)
    {
      reinit (parallel_partitioning, communicator, false);
    }


    inline
    BlockVector::BlockVector (const std::vector<IndexSet> &parallel_partitioning,
                              const std::vector<IndexSet> &ghost_values,
                              const MPI_Comm              &communicator)
    {
      reinit(parallel_partitioning, ghost_values, communicator);
    }


    inline
    BlockVector::BlockVector (const size_type num_blocks)
    {
      reinit (num_blocks);
    }



    inline
    BlockVector::BlockVector (const BlockVector &v)
      :
      BlockVectorBase<Vector > ()
    {
      this->components.resize (v.n_blocks());
      this->block_indices = v.block_indices;

      for (size_type i=0; i<this->n_blocks(); ++i)
        this->components[i] = v.components[i];
    }



    inline
    bool
    BlockVector::is_compressed () const
    {
      bool compressed = true;
      for (unsigned int row=0; row<n_blocks(); ++row)
        if (block(row).is_compressed() == false)
          {
            compressed = false;
            break;
          }

      return compressed;
    }



    inline
    void
    BlockVector::compress (const Epetra_CombineMode last_action)
    {
      ::dealii::VectorOperation::values last_action_ =
        ::dealii::VectorOperation::unknown;
      if (last_action == Add)
        last_action_ = ::dealii::VectorOperation::add;
      else if (last_action == Insert)
        last_action_ = ::dealii::VectorOperation::insert;
      else
        AssertThrow(false, ExcNotImplemented());

      this->compress(last_action_);
    }



    template <typename Number>
    BlockVector &
    BlockVector::operator = (const ::dealii::BlockVector<Number> &v)
    {
      if (n_blocks() != v.n_blocks())
        {
          std::vector<size_type> block_sizes (v.n_blocks(), 0);
          block_indices.reinit (block_sizes);
          if (components.size() != n_blocks())
            components.resize(n_blocks());
        }

      for (size_type i=0; i<this->n_blocks(); ++i)
        this->components[i] = v.block(i);

      collect_sizes();

      return *this;
    }


    inline
    bool
    BlockVector::has_ghost_elements() const
    {
      bool ghosted=block(0).has_ghost_elements();
#ifdef DEBUG
      for (unsigned int i=0; i<this->n_blocks(); ++i)
        Assert(block(i).has_ghost_elements()==ghosted, ExcInternalError());
#endif
      return ghosted;
    }

    inline
    void
    BlockVector::swap (BlockVector &v)
    {
      Assert (n_blocks() == v.n_blocks(),
              ExcDimensionMismatch(n_blocks(),v.n_blocks()));

      for (unsigned int row=0; row<n_blocks(); ++row)
        block(row).swap (v.block(row));
    }



    /**
     * Global function which overloads the default implementation
     * of the C++ standard library which uses a temporary object. The
     * function simply exchanges the data of the two vectors.
     *
     * @relates TrilinosWrappers::MPI::BlockVector
     * @author Martin Kronbichler, Wolfgang Bangerth, 2008
     */
    inline
    void swap (BlockVector &u,
               BlockVector &v)
    {
      u.swap (v);
    }

  } /* end of namespace MPI */

}

/*@}*/

DEAL_II_NAMESPACE_CLOSE

#endif  // DEAL_II_WITH_TRILINOS

#endif