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Revision 126 - (show annotations)
Fri Jul 22 03:53:08 2005 UTC (14 years, 7 months ago) by jgs
Original Path: trunk/esys2/escript/src/Data/DataArrayView.h
File MIME type: text/plain
File size: 34591 byte(s)
Merge of development branch back to main trunk on 2005-07-22

1 // $Id$
2
3 /*
4 ******************************************************************************
5 * *
6 * COPYRIGHT ACcESS 2004 - All Rights Reserved *
7 * *
8 * This software is the property of ACcESS. No part of this code *
9 * may be copied in any form or by any means without the expressed written *
10 * consent of ACcESS. Copying, use or modification of this software *
11 * by any unauthorised person is illegal unless that person has a software *
12 * license agreement with ACcESS. *
13 * *
14 ******************************************************************************
15 */
16
17 #if !defined escript_DataArrayView_20040323_H
18 #define escript_DataArrayView_20040323_H
19
20 #include "esysUtils/EsysAssert.h"
21
22 #include <boost/python/numeric.hpp>
23 #include <boost/python/object.hpp>
24 #include <boost/shared_ptr.hpp>
25
26 #include <iostream>
27
28 #include <vector>
29 #include "escript/Data/DataVector.h"
30
31 namespace escript {
32
33 /**
34 \brief
35 DataArrayView provides a view of external data, configured according
36 to the given shape information and offset.
37
38 Description:
39 DataArrayView provides a view of data allocated externally. The
40 external data should provide sufficient values so that the dimensions
41 specified for the view shape will be satisfied. The viewer can update
42 values within the external data but cannot resize the external data.
43
44 The view provided represents a single n-dimensional data-point
45 comprised of values taken from the given data array, starting at the
46 specified offset and extending for as many values as are necessary to
47 satisfy the given shape. The default offset can be changed, or different
48 offsets specified, in order to provide views of other data-points in
49 the underlying data array.
50 */
51
52 class DataArrayView {
53
54 friend bool operator==(const DataArrayView& left, const DataArrayView& right);
55 friend bool operator!=(const DataArrayView& left, const DataArrayView& right);
56
57 public:
58
59 //
60 // Some basic types which define the data values and view shapes.
61 typedef DataVector ValueType;
62 //typedef std::vector<double> ValueType;
63 typedef std::vector<int> ShapeType;
64 typedef std::vector<std::pair<int, int> > RegionType;
65 typedef std::vector<std::pair<int, int> > RegionLoopRangeType;
66
67 /**
68 \brief
69 Default constructor for DataArrayView.
70
71 Description:
72 Default constructor for DataArrayView.
73 Creates an empty view with no associated data array.
74
75 This is essentially useless but here for completeness.
76 */
77 DataArrayView();
78
79 /**
80 \brief
81 Constructor for DataArrayView.
82
83 Description:
84 Constructor for DataArrayView.
85
86 \param data - Input -
87 Array holding data to be viewed. This must be large enough
88 to supply sufficient values for the specified shape starting at
89 the given offset.
90 \param viewShape - Input -
91 The shape of the view to create.
92 \param offset - Input -
93 Offset into the data at which view should start.
94 */
95 DataArrayView(ValueType& data,
96 const ShapeType& viewShape,
97 int offset=0);
98
99 /**
100 \brief
101 Copy constructor for DataArrayView.
102
103 Description:
104 Copy constructor for DataArrayView.
105
106 \param other - Input -
107 DataArrayView to copy.
108
109 NOTE: The copy references the same data array.
110 */
111 DataArrayView(const DataArrayView& other);
112
113 /**
114 \brief
115 Copy from a numarray into the data array viewed by this.
116 This must have same shape as the given value - will throw if not.
117 */
118 void
119 copy(const boost::python::numeric::array& value);
120
121 /**
122 \brief
123 Copy data from another DataArrayView into the data array viewed by this
124 starting at the default offset in both views.
125 The shapes of both views must be the same - will throw if not.
126 NB: views may or may not reference same underlying data array!
127 */
128 void
129 copy(const DataArrayView& other);
130
131 /**
132 \brief
133 Copy data from another DataArrayView into this view starting at the
134 given offset in this view and the default offset in the other view.
135 The shapes of both views must be the same - will throw if not.
136 NB: views may or may not reference same underlying data array!
137 */
138 void
139 copy(ValueType::size_type offset,
140 const DataArrayView& other);
141
142 /**
143 \brief
144 Copy data from another DataArrayView into this view starting at the
145 given offsets in each view.
146 The shapes of both views must be compatible - will throw if not.
147 NB: views may or may not reference same underlying data array!
148
149 \param thisOffset - Input -
150 Offset into this view's data array to copy to.
151 \param other - Input -
152 View to copy data from.
153 \param otherOffset - Input -
154 Offset into the other view's data array to copy from.
155 */
156 void
157 copy(ValueType::size_type thisOffset,
158 const DataArrayView& other,
159 ValueType::size_type otherOffset);
160
161 /**
162 \brief
163 Copy the given single value over the entire view starting at the given
164 offset in the view's data array.
165
166 \param offset - Input -
167 Offset into this view's data array to copy to.
168 \param value - Input -
169 Value to copy.
170 */
171 void
172 copy(ValueType::size_type offset,
173 ValueType::value_type value);
174
175 /**
176 \brief
177 Check if view is empty. ie: does not point to any actual data.
178 */
179 bool
180 isEmpty() const;
181
182 /**
183 \brief
184 Return this view's offset into the viewed data array.
185 */
186 ValueType::size_type
187 getOffset() const;
188
189 /**
190 \brief
191 Set the offset into the data array at which this view is to start.
192 This could be used to step through the underlying data array by incrementing
193 the offset by noValues successively. Thus this view would provide a moving
194 window on the underlying data with the given shape.
195 */
196 void
197 setOffset(ValueType::size_type offset);
198
199 /**
200 \brief
201 Increment the offset by the number of values in the shape, if possible. Thus
202 moving the view onto the next data point of the given shape in the underlying
203 data array.
204 */
205 void
206 incrOffset();
207
208 /**
209 \brief
210 Check the (given) offset will not result in two few values being available in
211 the underlying data array for this view's shape.
212 */
213 bool
214 checkOffset() const;
215
216 bool
217 checkOffset(ValueType::size_type offset) const;
218
219 /**
220 \brief
221 Return the rank of the shape of this view.
222 */
223 int
224 getRank() const;
225
226 /**
227 \brief
228 Return the number of values for the shape of this view.
229 */
230 int
231 noValues() const;
232
233 /**
234 \brief
235 Calculate the number of values for the given shape or region.
236 This is purely a utility method and has no bearing on this view.
237 */
238 static
239 int
240 noValues(const ShapeType& shape);
241
242 static
243 int
244 noValues(const RegionLoopRangeType& region);
245
246 /**
247 \brief
248 Return a reference to the underlying data array.
249 */
250 ValueType&
251 getData() const;
252
253 /**
254 \brief
255 Return a reference to the data value with the given
256 index in this view. This takes into account the offset.
257 */
258 ValueType::reference
259 getData(ValueType::size_type i) const;
260
261 /**
262 \brief
263 Return the shape of this view.
264 */
265 const
266 ShapeType&
267 getShape() const;
268
269 /**
270 \brief
271 Return true if the given shape is the same as this view's shape.
272 */
273 bool
274 checkShape(const ShapeType& other) const;
275
276 /**
277 \brief
278 Create a shape error message. Normally used when there is a shape
279 mismatch between this shape and the other shape.
280
281 \param messagePrefix - Input -
282 First part of the error message.
283 \param other - Input -
284 The other shape.
285 */
286 std::string
287 createShapeErrorMessage(const std::string& messagePrefix,
288 const ShapeType& other) const;
289
290 /**
291 \brief
292 Return the viewed data as a formatted string.
293 Not recommended for very large objects!
294
295 \param suffix - Input -
296 Suffix appended to index display.
297 */
298 std::string
299 toString(const std::string& suffix=std::string("")) const;
300
301 /**
302 \brief
303 Return the given shape as a string.
304 This is purely a utility method and has no bearing on this view.
305
306 \param shape - Input.
307 */
308 static
309 std::string
310 shapeToString(const ShapeType& shape);
311
312 /**
313 \brief
314 Return the 1 dimensional index into the data array of the only element
315 in the view, *ignoring the offset*.
316 Assumes a rank 0 view.
317 */
318 ValueType::size_type
319 relIndex() const;
320
321 /**
322 \brief
323 Return the 1 dimensional index into the data array of the element at
324 position i in the view, *ignoring the offset*.
325 Assumes a rank 1 view.
326 */
327 ValueType::size_type
328 relIndex(ValueType::size_type i) const;
329
330 /**
331 \brief
332 Return the 1 dimensional index into the data array of the element at
333 position i,j in the view, *ignoring the offset*.
334 Assumes a rank 2 view.
335 */
336 ValueType::size_type
337 relIndex(ValueType::size_type i,
338 ValueType::size_type j) const;
339
340 /**
341 \brief
342 Return the 1 dimensional index into the data array of the element at
343 position i,j,k in the view, *ignoring the offset*.
344 Assumes a rank 3 view.
345 */
346 ValueType::size_type
347 relIndex(ValueType::size_type i,
348 ValueType::size_type j,
349 ValueType::size_type k) const;
350
351 /**
352 \brief
353 Return the 1 dimensional index into the data array of the element at
354 position i,j,k,m in the view, *ignoring the offset*.
355 Assumes a rank 4 view.
356 */
357 ValueType::size_type
358 relIndex(ValueType::size_type i,
359 ValueType::size_type j,
360 ValueType::size_type k,
361 ValueType::size_type m) const;
362
363 /**
364 \brief
365 Return the 1 dimensional index into the data array of the only element
366 in the view.
367 Assumes a rank 0 view.
368 */
369 ValueType::size_type
370 index() const;
371
372 /**
373 \brief
374 Return the 1 dimensional index into the data array of the element at
375 position i in the view.
376 Assumes a rank 1 view.
377 */
378 ValueType::size_type
379 index(ValueType::size_type i) const;
380
381 /**
382 \brief
383 Return the 1 dimensional index into the data array of the element at
384 position i,j in the view.
385 Assumes a rank 2 view.
386 */
387 ValueType::size_type
388 index(ValueType::size_type i,
389 ValueType::size_type j) const;
390
391 /**
392 \brief
393 Return the 1 dimensional index into the data array of the element at
394 position i,j,k in the view.
395 Assumes a rank 3 view.
396 */
397 ValueType::size_type
398 index(ValueType::size_type i,
399 ValueType::size_type j,
400 ValueType::size_type k) const;
401
402 /**
403 \brief
404 Return the 1 dimensional index into the data array of the element at
405 position i,j,k,m in the view.
406 Assumes a rank 4 view.
407 */
408 ValueType::size_type
409 index(ValueType::size_type i,
410 ValueType::size_type j,
411 ValueType::size_type k,
412 ValueType::size_type m) const;
413
414 /**
415 \brief
416 Return a reference for the only element in the view.
417 Assumes a rank 0 view.
418 */
419 ValueType::reference
420 operator()();
421
422 ValueType::const_reference
423 operator()() const;
424
425 /**
426 \brief
427 Return a reference to the element at position i in the view.
428 Assumes a rank 1 view.
429 */
430 ValueType::reference
431 operator()(ValueType::size_type i);
432
433 ValueType::const_reference
434 operator()(ValueType::size_type i) const;
435
436 /**
437 \brief
438 Return a reference to the element at position i,j in the view.
439 Assumes a rank 2 view.
440 */
441 ValueType::reference
442 operator()(ValueType::size_type i,
443 ValueType::size_type j);
444
445 ValueType::const_reference
446 operator()(ValueType::size_type i,
447 ValueType::size_type j) const;
448
449 /**
450 \brief
451 Return a reference to the element at position i,j,k in the view.
452 Assumes a rank 3 view.
453 */
454 ValueType::reference
455 operator()(ValueType::size_type i,
456 ValueType::size_type j,
457 ValueType::size_type k);
458
459 ValueType::const_reference
460 operator()(ValueType::size_type i,
461 ValueType::size_type j,
462 ValueType::size_type k) const;
463
464 /**
465 \brief
466 Return a reference to the element at position i,j,k,m in the view.
467 Assumes a rank 4 view.
468 */
469 ValueType::reference
470 operator()(ValueType::size_type i,
471 ValueType::size_type j,
472 ValueType::size_type k,
473 ValueType::size_type m);
474
475 ValueType::const_reference
476 operator()(ValueType::size_type i,
477 ValueType::size_type j,
478 ValueType::size_type k,
479 ValueType::size_type m) const;
480
481 /**
482 \brief
483 Determine the shape of the specified slice region.
484 This is purely a utility method and has no bearing on this view.
485
486 \param region - Input -
487 Slice region.
488 */
489 static
490 ShapeType
491 getResultSliceShape(const RegionType& region);
492
493 /**
494 \brief
495 Determine the region specified by the given python slice object.
496
497 \param key - Input -
498 python slice object specifying region to be returned.
499
500 The slice object is a tuple of n python slice specifiers, where
501 n <= the rank of this Data object. Each slice specifier specifies the
502 range of indexes to be sliced from the corresponding dimension. The
503 first specifier corresponds to the first dimension, the second to the
504 second and so on. Where n < the rank, the remaining dimensions are
505 sliced across the full range of their indicies.
506
507 Each slice specifier is of the form "a:b", which specifies a slice
508 from index a, up to but not including index b. Where index a is ommitted
509 a is assumed to be 0. Where index b is ommitted, b is assumed to be the
510 length of this dimension. Where both are ommitted (eg: ":") the slice is
511 assumed to encompass that entire dimension.
512
513 Where one of the slice specifiers is a single integer, eg: [1], we
514 want to generate a rank-1 dimension object, as opposed to eg: [1,2]
515 which implies we want to take a rank dimensional object with one
516 dimension of size 1.
517
518 The return value is a vector of pairs with length equal to the rank of
519 this object. Each pair corresponds to the range of indicies from the
520 corresponding dimension to be sliced from, as specified in the input
521 slice object.
522
523 Examples:
524
525 For a rank 1 object of shape(5):
526
527 getSliceRegion(:) => < <0,5> >
528 getSliceRegion(2:3) => < <2,3> >
529 getSliceRegion(:3) => < <0,3> >
530 getSliceRegion(2:) => < <2,5> >
531
532 For a rank 2 object of shape(4,5):
533
534 getSliceRegion(2:3) => < <2,3> <0,5> >
535 getSliceRegion(2) => < <2,3> <0,5> >
536 NB: but return object requested will have rank 1, shape(5), with
537 values taken from index 2 of this object's first dimension.
538
539 For a rank 3 object of shape (2,4,6):
540
541 getSliceRegion(0:2,0:4,0:6) => < <0,2> <0,4> <0,6> >
542 getSliceRegion(:,:,:) => < <0,2> <0,4> <0,6> >
543 getSliceRegion(0:1) => < <0,1> <0,4> <0,6> >
544 getSliceRegion(:1,0:2) => < <0,1> <0,2> <0,6> >
545
546 */
547 RegionType
548 getSliceRegion(const boost::python::object& key) const;
549
550 /**
551 \brief
552 Copy a data slice specified by the given region from the given view
553 into this view, using the default offsets in both views.
554
555 \param other - Input -
556 View to copy data from.
557 \param region - Input -
558 Region in other view to copy data from.
559 */
560 void
561 copySlice(const DataArrayView& other,
562 const RegionLoopRangeType& region);
563
564 /**
565 \brief
566 Copy a data slice specified by the given region and offset from the
567 given view into this view at the given offset.
568
569 \param thisOffset - Input -
570 Copy the slice to this offset in this view.
571 \param other - Input -
572 View to copy data from.
573 \param otherOffset - Input -
574 Copy the slice from this offset in the given view.
575 \param region - Input -
576 Region in other view to copy data from.
577 */
578 void
579 copySlice(ValueType::size_type thisOffset,
580 const DataArrayView& other,
581 ValueType::size_type otherOffset,
582 const RegionLoopRangeType& region);
583
584 /**
585 \brief
586 Copy data into a slice specified by the given region in this view from
587 the given view, using the default offsets in both views.
588
589 \param other - Input -
590 View to copy data from.
591 \param region - Input -
592 Region in this view to copy data to.
593 */
594 void
595 copySliceFrom(const DataArrayView& other,
596 const RegionLoopRangeType& region);
597
598 /**
599 \brief
600 Copy data into a slice specified by the given region and offset in
601 this view from the given view at the given offset.
602
603 \param thisOffset - Input -
604 Copy the slice to this offset in this view.
605 \param other - Input -
606 View to copy data from.
607 \param otherOffset - Input -
608 Copy the slice from this offset in the given view.
609 \param region - Input -
610 Region in this view to copy data to.
611 */
612 void
613 copySliceFrom(ValueType::size_type thisOffset,
614 const DataArrayView& other,
615 ValueType::size_type otherOffset,
616 const RegionLoopRangeType& region);
617
618 /**
619 \brief
620 Perform the unary operation on the data point specified by the view's
621 default offset. Applies the specified operation to each value in the data
622 point.
623
624 Called by escript::unaryOp.
625
626 \param operation - Input -
627 Operation to apply. Operation must be a pointer to a function.
628 */
629 template <class UnaryFunction>
630 void
631 unaryOp(UnaryFunction operation);
632
633 /**
634 \brief
635 Perform the unary operation on the data point specified by the given
636 offset. Applies the specified operation to each value in the data
637 point. Operation must be a pointer to a function.
638
639 Called by escript::unaryOp.
640
641 \param offset - Input -
642 Apply the operation to data starting at this offset in this view.
643 \param operation - Input -
644 Operation to apply. Must be a pointer to a function.
645 */
646 template <class UnaryFunction>
647 void
648 unaryOp(ValueType::size_type offset,
649 UnaryFunction operation);
650
651 /**
652 \brief
653 Perform the binary operation on the data points specified by the default
654 offsets in this view and in view "right". Applies the specified operation
655 to corresponding values in both data points. Operation must be a pointer
656 to a function.
657
658 Called by escript::binaryOp.
659
660 \param right - Input -
661 View to act as RHS in given binary operation.
662 \param operation - Input -
663 Operation to apply. Must be a pointer to a function.
664 */
665 template <class BinaryFunction>
666 void
667 binaryOp(const DataArrayView& right,
668 BinaryFunction operation);
669
670 /**
671 \brief
672 Perform the binary operation on the data points specified by the given
673 offsets in this view and in view "right". Applies the specified operation
674 to corresponding values in both data points. Operation must be a pointer
675 to a function.
676
677 Called by escript::binaryOp.
678
679 \param leftOffset - Input -
680 Apply the operation to data starting at this offset in this view.
681 \param right - Input -
682 View to act as RHS in given binary operation.
683 \param rightOffset - Input -
684 Apply the operation to data starting at this offset in right.
685 \param operation - Input -
686 Operation to apply. Must be a pointer to a function.
687 */
688 template <class BinaryFunction>
689 void
690 binaryOp(ValueType::size_type leftOffset,
691 const DataArrayView& right,
692 ValueType::size_type rightOffset,
693 BinaryFunction operation);
694
695 /**
696 \brief
697 Perform the binary operation on the data point specified by the default
698 offset in this view using the scalar value "right". Applies the specified
699 operation to values in the data point. Operation must be a pointer to
700 a function.
701
702 Called by escript::binaryOp.
703
704 \param right - Input -
705 Value to act as RHS in given binary operation.
706 \param operation - Input -
707 Operation to apply. Must be a pointer to a function.
708 */
709 template <class BinaryFunction>
710 void
711 binaryOp(double right,
712 BinaryFunction operation);
713
714 /**
715 \brief
716 Perform the binary operation on the data point specified by the given
717 offset in this view using the scalar value "right". Applies the specified
718 operation to values in the data point. Operation must be a pointer
719 to a function.
720
721 Called by escript::binaryOp.
722
723 \param offset - Input -
724 Apply the operation to data starting at this offset in this view.
725 \param right - Input -
726 Value to act as RHS in given binary operation.
727 \param operation - Input -
728 Operation to apply. Must be a pointer to a function.
729 */
730 template <class BinaryFunction>
731 void
732 binaryOp(ValueType::size_type offset,
733 double right,
734 BinaryFunction operation);
735
736 /**
737 \brief
738 Perform the given data point reduction operation on the data point
739 specified by the default offset into the view. Reduces all elements of
740 the data point using the given operation, returning the result as a
741 scalar. Operation must be a pointer to a function.
742
743 Called by escript::algorithm.
744
745 \param operation - Input -
746 Operation to apply. Must be a pointer to a function.
747 */
748 template <class UnaryFunction>
749 double
750 reductionOp(UnaryFunction operation) const;
751
752 /**
753 \brief
754 Perform the given data point reduction operation on the data point
755 specified by the given offset into the view. Reduces all elements of
756 the data point using the given operation, returning the result as a
757 scalar. Operation must be a pointer to a function.
758
759 Called by escript::algorithm.
760
761 \param offset - Input -
762 Apply the operation to data starting at this offset in this view.
763 \param operation - Input -
764 Operation to apply. Must be a pointer to a function.
765 */
766 template <class UnaryFunction>
767 double
768 reductionOp(ValueType::size_type offset,
769 UnaryFunction operation) const;
770
771 /**
772 \brief
773 Perform a matrix multiply of the given views.
774 This is purely a utility method and has no bearing on this view.
775
776 NB: Only multiplies together the two given views, ie: two data-points,
777 would need to call this over all data-points to multiply the entire
778 Data objects involved.
779
780 \param left - Input - The left hand side.
781 \param right - Input - The right hand side.
782 \param result - Output - The result of the operation.
783 */
784 static
785 void
786 matMult(const DataArrayView& left,
787 const DataArrayView& right,
788 DataArrayView& result);
789
790 /**
791 \brief
792 Determine the shape of the result array for a matrix multiplication
793 of the given views.
794 This is purely a utility method and has no bearing on this view.
795 */
796 static
797 ShapeType
798 determineResultShape(const DataArrayView& left,
799 const DataArrayView& right);
800
801 protected:
802
803 private:
804
805 //
806 // The maximum rank allowed for the shape of any view.
807 static const int m_maxRank=4;
808
809 //
810 // The data values for the view.
811 // NOTE: This points to data external to the view.
812 // This is just a pointer to an array of ValueType.
813 ValueType* m_data;
814
815 //
816 // The offset into the data array used by different views.
817 // This is simply an integer specifying a position in the data array
818 // pointed to by m_data.
819 ValueType::size_type m_offset;
820
821 //
822 // The shape of the data.
823 // This is simply an STL vector specifying the lengths of each dimension
824 // of the shape as ints.
825 ShapeType m_shape;
826
827 //
828 // The number of values needed for the array.
829 // This can be derived from m_shape by multiplying the size of each dimension, but
830 // is stored here for convenience.
831 int m_noValues;
832
833 };
834
835 bool operator==(const DataArrayView& left, const DataArrayView& right);
836 bool operator!=(const DataArrayView& left, const DataArrayView& right);
837
838 /**
839 \brief
840 Modify region to copy from in order to
841 deal with the case where one range in the region contains identical indexes,
842 eg: <<1,1><0,3><0,3>>
843 This situation implies we want to copy from an object with rank greater than that of this
844 object. eg: we want to copy the values from a two dimensional slice out of a three
845 dimensional object into a two dimensional object.
846 We do this by taking a slice from the other object where one dimension of
847 the slice region is of size 1. So in the above example, we modify the above
848 region like so: <<1,2><0,3><0,3>> and take this slice.
849 */
850 DataArrayView::RegionLoopRangeType
851 getSliceRegionLoopRange(const DataArrayView::RegionType& region);
852
853 /**
854 \brief
855 Calculate the slice range from the given python key object
856 Used by DataArrayView::getSliceRegion.
857 Returns the python slice object key as a pair of ints where the first
858 member is the start and the second member is the end. the presence of a possible
859 step attribute with value different from one will throw an exception
860
861 /param key - Input - key object specifying slice range.
862 */
863 std::pair<int,int>
864 getSliceRange(const boost::python::object& key,
865 const int shape);
866
867 /**
868 Inline function definitions.
869 */
870
871 template <class UnaryFunction>
872 inline
873 void
874 DataArrayView::unaryOp(UnaryFunction operation)
875 {
876 unaryOp(m_offset,operation);
877 }
878
879 template <class UnaryFunction>
880 inline
881 void
882 DataArrayView::unaryOp(ValueType::size_type offset,
883 UnaryFunction operation)
884 {
885 EsysAssert((!isEmpty()&&checkOffset(offset)),
886 "Error - Couldn't perform unaryOp due to insufficient storage.");
887 for (ValueType::size_type i=0;i<noValues();i++) {
888 (*m_data)[offset+i]=operation((*m_data)[offset+i]);
889 }
890 }
891
892 template <class BinaryFunction>
893 inline
894 void
895 DataArrayView::binaryOp(const DataArrayView& right,
896 BinaryFunction operation)
897 {
898 binaryOp(m_offset,right,right.getOffset(),operation);
899 }
900
901 template <class BinaryFunction>
902 inline
903 void
904 DataArrayView::binaryOp(ValueType::size_type leftOffset,
905 const DataArrayView& right,
906 ValueType::size_type rightOffset,
907 BinaryFunction operation)
908 {
909 EsysAssert(getShape()==right.getShape(),
910 "Error - Couldn't perform binaryOp due to shape mismatch,");
911 EsysAssert((!isEmpty()&&checkOffset(leftOffset)),
912 "Error - Couldn't perform binaryOp due to insufficient storage in left object.");
913 EsysAssert((!right.isEmpty()&&right.checkOffset(rightOffset)),
914 "Error - Couldn't perform binaryOp due to insufficient storage in right object.");
915 for (ValueType::size_type i=0;i<noValues();i++) {
916 (*m_data)[leftOffset+i]=operation((*m_data)[leftOffset+i],(*right.m_data)[rightOffset+i]);
917 }
918 }
919
920 template <class BinaryFunction>
921 inline
922 void
923 DataArrayView::binaryOp(double right,
924 BinaryFunction operation)
925 {
926 binaryOp(m_offset,right,operation);
927 }
928
929 template <class BinaryFunction>
930 inline
931 void
932 DataArrayView::binaryOp(ValueType::size_type offset,
933 double right,
934 BinaryFunction operation)
935 {
936 EsysAssert((!isEmpty()&&checkOffset(offset)),
937 "Error - Couldn't perform binaryOp due to insufficient storage in left object.");
938 for (ValueType::size_type i=0;i<noValues();i++) {
939 (*m_data)[offset+i]=operation((*m_data)[offset+i],right);
940 }
941 }
942
943 template <class UnaryFunction>
944 inline
945 double
946 DataArrayView::reductionOp(UnaryFunction operation) const
947 {
948 return reductionOp(m_offset,operation);
949 }
950
951 template <class UnaryFunction>
952 inline
953 double
954 DataArrayView::reductionOp(ValueType::size_type offset,
955 UnaryFunction operation) const
956 {
957 EsysAssert((!isEmpty()&&checkOffset(offset)),
958 "Error - Couldn't perform reductionOp due to insufficient storage.");
959 operation.resetResult();
960 for (ValueType::size_type i=0;i<noValues();i++) {
961 operation((*m_data)[offset+i]);
962 }
963 return operation.getResult();
964 }
965
966 inline
967 DataArrayView::ValueType::size_type
968 DataArrayView::relIndex() const
969 {
970 EsysAssert((getRank()==0),"Incorrect number of indices for the rank of this object.");
971 return 0;
972 }
973
974 inline
975 DataArrayView::ValueType::size_type
976 DataArrayView::index() const
977 {
978 EsysAssert((getRank()==0),"Incorrect number of indices for the rank of this object.");
979 return (m_offset);
980 }
981
982 inline
983 DataArrayView::ValueType::size_type
984 DataArrayView::relIndex(ValueType::size_type i) const
985 {
986 EsysAssert((getRank()==1),"Incorrect number of indices for the rank of this object.");
987 EsysAssert((i < noValues(m_shape)), "Error - Invalid index.");
988 return i;
989 }
990
991 inline
992 DataArrayView::ValueType::size_type
993 DataArrayView::index(ValueType::size_type i) const
994 {
995 EsysAssert((getRank()==1),"Incorrect number of indices for the rank of this object.");
996 EsysAssert((i < noValues(m_shape)), "Error - Invalid index.");
997 return (m_offset+i);
998 }
999
1000 inline
1001 DataArrayView::ValueType::size_type
1002 DataArrayView::relIndex(ValueType::size_type i,
1003 ValueType::size_type j) const
1004 {
1005 EsysAssert((getRank()==2),"Incorrect number of indices for the rank of this object.");
1006 ValueType::size_type temp=i+j*m_shape[0];
1007 EsysAssert((temp < noValues(m_shape)), "Error - Invalid index.");
1008 return temp;
1009 }
1010
1011 inline
1012 DataArrayView::ValueType::size_type
1013 DataArrayView::index(ValueType::size_type i,
1014 ValueType::size_type j) const
1015 {
1016 EsysAssert((getRank()==2),"Incorrect number of indices for the rank of this object.");
1017 ValueType::size_type temp=i+j*m_shape[0];
1018 EsysAssert((temp < noValues(m_shape)), "Error - Invalid index.");
1019 return (m_offset+temp);
1020 }
1021
1022 inline
1023 DataArrayView::ValueType::size_type
1024 DataArrayView::relIndex(ValueType::size_type i,
1025 ValueType::size_type j,
1026 ValueType::size_type k) const
1027 {
1028 EsysAssert((getRank()==3),"Incorrect number of indices for the rank of this object.");
1029 ValueType::size_type temp=i+j*m_shape[0]+k*m_shape[1]*m_shape[0];
1030 EsysAssert((temp < noValues(m_shape)), "Error - Invalid index.");
1031 return temp;
1032 }
1033
1034 inline
1035 DataArrayView::ValueType::size_type
1036 DataArrayView::index(ValueType::size_type i,
1037 ValueType::size_type j,
1038 ValueType::size_type k) const
1039 {
1040 EsysAssert((getRank()==3),"Incorrect number of indices for the rank of this object.");
1041 ValueType::size_type temp=i+j*m_shape[0]+k*m_shape[1]*m_shape[0];
1042 EsysAssert((temp < noValues(m_shape)), "Error - Invalid index.");
1043 return (m_offset+temp);
1044 }
1045
1046 inline
1047 DataArrayView::ValueType::size_type
1048 DataArrayView::relIndex(ValueType::size_type i,
1049 ValueType::size_type j,
1050 ValueType::size_type k,
1051 ValueType::size_type m) const
1052 {
1053 EsysAssert((getRank()==4),"Incorrect number of indices for the rank of this object.");
1054 ValueType::size_type temp=i+j*m_shape[0]+k*m_shape[1]*m_shape[0]+m*m_shape[2]*m_shape[1]*m_shape[0];
1055 EsysAssert((temp < noValues(m_shape)), "Error - Invalid index.");
1056 return temp;
1057 }
1058
1059 inline
1060 DataArrayView::ValueType::size_type
1061 DataArrayView::index(ValueType::size_type i,
1062 ValueType::size_type j,
1063 ValueType::size_type k,
1064 ValueType::size_type m) const
1065 {
1066 EsysAssert((getRank()==4),"Incorrect number of indices for the rank of this object.");
1067 ValueType::size_type temp=i+j*m_shape[0]+k*m_shape[1]*m_shape[0]+m*m_shape[2]*m_shape[1]*m_shape[0];
1068 EsysAssert((temp < noValues(m_shape)), "Error - Invalid index.");
1069 return (m_offset+temp);
1070 }
1071
1072 inline
1073 DataArrayView::ValueType::reference
1074 DataArrayView::operator()()
1075 {
1076 return (*m_data)[index()];
1077 }
1078
1079 inline
1080 DataArrayView::ValueType::const_reference
1081 DataArrayView::operator()() const
1082 {
1083 return (*m_data)[index()];
1084 }
1085
1086 inline
1087 DataArrayView::ValueType::reference
1088 DataArrayView::operator()(ValueType::size_type i)
1089 {
1090 return (*m_data)[index(i)];
1091 }
1092
1093 inline
1094 DataArrayView::ValueType::const_reference
1095 DataArrayView::operator()(ValueType::size_type i) const
1096 {
1097 return (*m_data)[index(i)];
1098 }
1099
1100 inline
1101 DataArrayView::ValueType::reference
1102 DataArrayView::operator()(ValueType::size_type i,
1103 ValueType::size_type j)
1104 {
1105 return (*m_data)[index(i,j)];
1106 }
1107
1108 inline
1109 DataArrayView::ValueType::const_reference
1110 DataArrayView::operator()(ValueType::size_type i,
1111 ValueType::size_type j) const
1112 {
1113 return (*m_data)[index(i,j)];
1114 }
1115
1116 inline
1117 DataArrayView::ValueType::reference
1118 DataArrayView::operator()(ValueType::size_type i,
1119 ValueType::size_type j,
1120 ValueType::size_type k)
1121 {
1122 return (*m_data)[index(i,j,k)];
1123 }
1124
1125 inline
1126 DataArrayView::ValueType::const_reference
1127 DataArrayView::operator()(ValueType::size_type i,
1128 ValueType::size_type j,
1129 ValueType::size_type k) const
1130 {
1131 return (*m_data)[index(i,j,k)];
1132 }
1133
1134 inline
1135 DataArrayView::ValueType::reference
1136 DataArrayView::operator()(ValueType::size_type i,
1137 ValueType::size_type j,
1138 ValueType::size_type k,
1139 ValueType::size_type m)
1140 {
1141 return (*m_data)[index(i,j,k,m)];
1142 }
1143
1144 inline
1145 DataArrayView::ValueType::const_reference
1146 DataArrayView::operator()(ValueType::size_type i,
1147 ValueType::size_type j,
1148 ValueType::size_type k,
1149 ValueType::size_type m) const
1150 {
1151 return (*m_data)[index(i,j,k,m)];
1152 }
1153
1154 } // end of namespace
1155
1156 #endif

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