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# vigra/multi_array.hxx

    00001 /************************************************************************/
    00002 /*                                                                      */
    00003 /*     Copyright 2003-2008 by Gunnar Kedenburg and Ullrich Koethe       */
    00004 /*                                                                      */
    00005 /*    This file is part of the VIGRA computer vision library.           */
    00006 /*    ( Version 1.6.0, Aug 13 2008 )                                    */
    00007 /*    The VIGRA Website is                                              */
    00008 /*        http://kogs-www.informatik.uni-hamburg.de/~koethe/vigra/      */
    00009 /*    Please direct questions, bug reports, and contributions to        */
    00010 /*        ullrich.koethe@iwr.uni-heidelberg.de    or                    */
    00011 /*        vigra@informatik.uni-hamburg.de                               */
    00012 /*                                                                      */
    00013 /*    Permission is hereby granted, free of charge, to any person       */
    00014 /*    obtaining a copy of this software and associated documentation    */
    00015 /*    files (the "Software"), to deal in the Software without           */
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    00018 /*    sell copies of the Software, and to permit persons to whom the    */
    00019 /*    Software is furnished to do so, subject to the following          */
    00020 /*    conditions:                                                       */
    00021 /*                                                                      */
    00022 /*    The above copyright notice and this permission notice shall be    */
    00023 /*    included in all copies or substantial portions of the             */
    00024 /*    Software.                                                         */
    00025 /*                                                                      */
    00026 /*    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND    */
    00027 /*    EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES   */
    00028 /*    OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND          */
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    00032 /*    FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR     */
    00033 /*    OTHER DEALINGS IN THE SOFTWARE.                                   */
    00034 /*                                                                      */
    00035 /************************************************************************/
    00036
    00037
    00038 #ifndef VIGRA_MULTI_ARRAY_HXX
    00039 #define VIGRA_MULTI_ARRAY_HXX
    00040
    00041 #include <memory>
    00042 #include <algorithm>
    00043 #include "accessor.hxx"
    00044 #include "tinyvector.hxx"
    00045 #include "rgbvalue.hxx"
    00046 #include "basicimageview.hxx"
    00047 #include "imageiterator.hxx"
    00048 #include "numerictraits.hxx"
    00049 #include "multi_iterator.hxx"
    00050 #include "metaprogramming.hxx"
    00051 #include "mathutil.hxx"
    00052
    00053 namespace vigra
    00054 {
    00055
    00056 namespace detail
    00057 {
    00058 /********************************************************/
    00059 /*                                                      */
    00060 /*                    defaultStride                     */
    00061 /*                                                      */
    00062 /********************************************************/
    00063
    00064 /* generates the stride for a gapless shape.
    00065
    00066     Namespace: vigra::detail
    00067 */
    00068 template <unsigned int N>
    00069 inline TinyVector <MultiArrayIndex, N>
    00070 defaultStride(const TinyVector <MultiArrayIndex, N> &shape)
    00071 {
    00072     TinyVector <MultiArrayIndex, N> ret;
    00073     ret [0] = 1;
    00074     for (int i = 1; i < (int)N; ++i)
    00075         ret [i] = ret [i-1] * shape [i-1];
    00076     return ret;
    00077 }
    00078
    00079 /********************************************************/
    00080 /*                                                      */
    00081 /*                 ScanOrderToOffset                    */
    00082 /*                                                      */
    00083 /********************************************************/
    00084
    00085 /* transforms an index in scan order sense to a pointer offset in a possibly
    00086    strided, multi-dimensional array.
    00087
    00088     Namespace: vigra::detail
    00089 */
    00090
    00091 template <int K>
    00092 struct ScanOrderToOffset
    00093 {
    00094     template <int N>
    00095     static MultiArrayIndex
    00096     exec(MultiArrayIndex d, const TinyVector <MultiArrayIndex, N> &shape,
    00097          const TinyVector <MultiArrayIndex, N> & stride)
    00098     {
    00099         return stride[N-K] * (d % shape[N-K]) +
    00100                ScanOrderToOffset<K-1>::exec(d / shape[N-K], shape, stride);
    00101     }
    00102 };
    00103
    00104 template <>
    00105 struct ScanOrderToOffset<1>
    00106 {
    00107     template <int N>
    00108     static MultiArrayIndex
    00109     exec(MultiArrayIndex d, const TinyVector <MultiArrayIndex, N> & /*shape*/,
    00110          const TinyVector <MultiArrayIndex, N> & stride)
    00111     {
    00112         return stride[N-1] * d;
    00113     }
    00114 };
    00115
    00116 template <int K>
    00117 struct ScanOrderToCoordinate
    00118 {
    00119     template <int N>
    00120     static void
    00121     exec(MultiArrayIndex d, const TinyVector <MultiArrayIndex, N> &shape,
    00122          TinyVector <MultiArrayIndex, N> & result)
    00123     {
    00124         result[N-K] = (d % shape[N-K]);
    00125         ScanOrderToCoordinate<K-1>::exec(d / shape[N-K], shape, result);
    00126     }
    00127 };
    00128
    00129 template <>
    00130 struct ScanOrderToCoordinate<1>
    00131 {
    00132     template <int N>
    00133     static void
    00134     exec(MultiArrayIndex d, const TinyVector <MultiArrayIndex, N> & /*shape*/,
    00135          TinyVector <MultiArrayIndex, N> & result)
    00136     {
    00137         result[N-1] = d;
    00138     }
    00139 };
    00140
    00141 template <int K>
    00142 struct CoordinateToScanOrder
    00143 {
    00144     template <int N>
    00145     static MultiArrayIndex
    00146     exec(const TinyVector <MultiArrayIndex, N> &shape,
    00147          const TinyVector <MultiArrayIndex, N> & coordinate)
    00148     {
    00149         return coordinate[N-K] + shape[N-K] * CoordinateToScanOrder<K-1>::exec(shape, coordinate);
    00150     }
    00151 };
    00152
    00153 template <>
    00154 struct CoordinateToScanOrder<1>
    00155 {
    00156     template <int N>
    00157     static MultiArrayIndex
    00158     exec(const TinyVector <MultiArrayIndex, N> & /*shape*/,
    00159          const TinyVector <MultiArrayIndex, N> & coordinate)
    00160     {
    00161         return coordinate[N-1];
    00162     }
    00163 };
    00164
    00165
    00166 template <class C>
    00167 struct CoordinatesToOffest
    00168 {
    00169     template <int N>
    00170     static MultiArrayIndex
    00171     exec(const TinyVector <MultiArrayIndex, N> & stride, MultiArrayIndex x)
    00172     {
    00173         return stride[0] * x;
    00174     }
    00175     template <int N>
    00176     static MultiArrayIndex
    00177     exec(const TinyVector <MultiArrayIndex, N> & stride, MultiArrayIndex x, MultiArrayIndex y)
    00178     {
    00179         return stride[0] * x + stride[1] * y;
    00180     }
    00181 };
    00182
    00183 template <>
    00184 struct CoordinatesToOffest<UnstridedArrayTag>
    00185 {
    00186     template <int N>
    00187     static MultiArrayIndex
    00188     exec(const TinyVector <MultiArrayIndex, N> & /*stride*/, MultiArrayIndex x)
    00189     {
    00190         return x;
    00191     }
    00192     template <int N>
    00193     static MultiArrayIndex
    00194     exec(const TinyVector <MultiArrayIndex, N> & stride, MultiArrayIndex x, MultiArrayIndex y)
    00195     {
    00196         return x + stride[1] * y;
    00197     }
    00198 };
    00199
    00200 /********************************************************/
    00201 /*                                                      */
    00202 /*                     MaybeStrided                     */
    00203 /*                                                      */
    00204 /********************************************************/
    00205
    00206 /* metatag implementing a test for marking MultiArrays that were
    00207     indexed at the zero'th dimension as strided, and all others as
    00208     unstrided.
    00209
    00210 <b>\#include</b>
    00211 <<a href="multi__array_8hxx-source.html">vigra/multi_array.hxx</a>>
    00212
    00213 Namespace: vigra::detail
    00214 */
    00215 template <unsigned int N>
    00216 struct MaybeStrided
    00217 {
    00218     typedef UnstridedArrayTag type;
    00219 };
    00220
    00221 template <>
    00222 struct MaybeStrided <0>
    00223 {
    00224     typedef StridedArrayTag type;
    00225 };
    00226
    00227 /********************************************************/
    00228 /*                                                      */
    00229 /*                MultiIteratorChooser                  */
    00230 /*                                                      */
    00231 /********************************************************/
    00232
    00233 /* metatag implementing a test (by pattern matching) for marking
    00234     MultiArrays that were indexed at the zero'th dimension as strided.
    00235
    00236 <b>\#include</b>
    00237 <<a href="multi__array_8hxx-source.html">vigra/multi_array.hxx</a>>
    00238
    00239 Namespace: vigra::detail
    00240 */
    00241 template <class O>
    00242 struct MultiIteratorChooser
    00243 {
    00244     struct Nil {};
    00245
    00246     template <unsigned int N, class T, class REFERENCE, class POINTER>
    00247     struct Traverser
    00248     {
    00249         typedef Nil type;
    00250     };
    00251 };
    00252
    00253 /********************************************************/
    00254 /*                                                      */
    00255 /*       MultiIteratorChooser <StridedArrayTag>         */
    00256 /*                                                      */
    00257 /********************************************************/
    00258
    00259 /* specialization of the MultiIteratorChooser for strided arrays.
    00260
    00261 <b>\#include</b>
    00262 <<a href="multi__array_8hxx-source.html">vigra/multi_array.hxx</a>>
    00263
    00264 Namespace: vigra::detail
    00265 */
    00266 template <>
    00267 struct MultiIteratorChooser <StridedArrayTag>
    00268 {
    00269     template <unsigned int N, class T, class REFERENCE, class POINTER>
    00270     struct Traverser
    00271     {
    00272         typedef StridedMultiIterator <N, T, REFERENCE, POINTER> type;
    00273     };
    00274 };
    00275
    00276 /********************************************************/
    00277 /*                                                      */
    00278 /*      MultiIteratorChooser <UnstridedArrayTag>        */
    00279 /*                                                      */
    00280 /********************************************************/
    00281
    00282 /* specialization of the MultiIteratorChooser for unstrided arrays.
    00283
    00284 <b>\#include</b>
    00285 <<a href="multi__array_8hxx-source.html">vigra/multi_array.hxx</a>>
    00286
    00287 Namespace: vigra::detail
    00288 */
    00289 template <>
    00290 struct MultiIteratorChooser <UnstridedArrayTag>
    00291 {
    00292     template <unsigned int N, class T, class REFERENCE, class POINTER>
    00293     struct Traverser
    00294     {
    00295         typedef MultiIterator <N, T, REFERENCE, POINTER> type;
    00296     };
    00297 };
    00298
    00299 /********************************************************/
    00300 /*                                                      */
    00301 /*                   helper functions                   */
    00302 /*                                                      */
    00303 /********************************************************/
    00304
    00305 template <class DestIterator, class Shape, class T>
    00306 inline void
    00307 initMultiArrayData(DestIterator d, Shape const & shape, T const & init, MetaInt<0>)
    00308 {
    00309     DestIterator dend = d + shape[0];
    00310     for(; d < dend; ++d)
    00311     {
    00312         *d = init;
    00313     }
    00314 }
    00315
    00316 template <class DestIterator, class Shape, class T, int N>
    00317 void
    00318 initMultiArrayData(DestIterator d, Shape const & shape, T const & init, MetaInt<N>)
    00319 {
    00320     DestIterator dend = d + shape[N];
    00321     for(; d < dend; ++d)
    00322     {
    00323         initMultiArrayData(d.begin(), shape, init, MetaInt<N-1>());
    00324     }
    00325 }
    00326
    00327 #define VIGRA_COPY_MULTI_ARRAY_DATA(name, op) \
    00328 template <class SrcIterator, class Shape, class DestIterator> \
    00329 inline void \
    00330 name##MultiArrayData(SrcIterator s, Shape const & shape, DestIterator d, MetaInt<0>) \
    00331 {     \
    00332     SrcIterator send = s + shape[0]; \
    00333     for(; s < send; ++s, ++d) \
    00334     { \
    00335         *d op *s; \
    00336     } \
    00337 } \
    00338  \
    00339 template <class SrcIterator, class Shape, class DestIterator, int N> \
    00340 void \
    00341 name##MultiArrayData(SrcIterator s, Shape const & shape, DestIterator d, MetaInt<N>) \
    00342 { \
    00343     SrcIterator send = s + shape[N]; \
    00344     for(; s < send; ++s, ++d) \
    00345     { \
    00346         name##MultiArrayData(s.begin(), shape, d.begin(), MetaInt<N-1>()); \
    00347     } \
    00348 } \
    00349 \
    00350 template <class DestIterator, class Shape, class T> \
    00351 inline void \
    00352 name##ScalarMultiArrayData(DestIterator d, Shape const & shape, T const & init, MetaInt<0>) \
    00353 {     \
    00354     DestIterator dend = d + shape[0]; \
    00355     for(; d < dend; ++d) \
    00356     { \
    00357         *d op init; \
    00358     } \
    00359 } \
    00360  \
    00361 template <class DestIterator, class Shape, class T, int N> \
    00362 void \
    00363 name##ScalarMultiArrayData(DestIterator d, Shape const & shape, T const & init, MetaInt<N>) \
    00364 {     \
    00365     DestIterator dend = d + shape[N]; \
    00366     for(; d < dend; ++d) \
    00367     { \
    00368         name##ScalarMultiArrayData(d.begin(), shape, init, MetaInt<N-1>()); \
    00369     } \
    00370 }
    00371
    00372 VIGRA_COPY_MULTI_ARRAY_DATA(copy, =)
    00373 VIGRA_COPY_MULTI_ARRAY_DATA(copyAdd, +=)
    00374 VIGRA_COPY_MULTI_ARRAY_DATA(copySub, -=)
    00375 VIGRA_COPY_MULTI_ARRAY_DATA(copyMul, *=)
    00376 VIGRA_COPY_MULTI_ARRAY_DATA(copyDiv, /=)
    00377
    00378 #undef VIGRA_COPY_MULTI_ARRAY_DATA
    00379
    00380 template <class SrcIterator, class Shape, class T, class ALLOC>
    00381 inline void
    00382 uninitializedCopyMultiArrayData(SrcIterator s, Shape const & shape, T * & d, ALLOC & a, MetaInt<0>)
    00383 {
    00384     SrcIterator send = s + shape[0];
    00385     for(; s < send; ++s, ++d)
    00386     {
    00387         a.construct(d, static_cast<T const &>(*s));
    00388     }
    00389 }
    00390
    00391 template <class SrcIterator, class Shape, class T, class ALLOC, int N>
    00392 void
    00393 uninitializedCopyMultiArrayData(SrcIterator s, Shape const & shape, T * & d, ALLOC & a, MetaInt<N>)
    00394 {
    00395     SrcIterator send = s + shape[N];
    00396     for(; s < send; ++s)
    00397     {
    00398         uninitializedCopyMultiArrayData(s.begin(), shape, d, a, MetaInt<N-1>());
    00399     }
    00400 }
    00401
    00402 template <class SrcIterator, class Shape, class T>
    00403 inline void
    00404 normMaxOfMultiArray(SrcIterator s, Shape const & shape, T & result, MetaInt<0>)
    00405 {
    00406     SrcIterator send = s + shape[0];
    00407     for(; s < send; ++s)
    00408     {
    00409         T v = norm(*s);
    00410         if(result < v)
    00411             result = v;
    00412     }
    00413 }
    00414
    00415 template <class SrcIterator, class Shape, class T, int N>
    00416 void
    00417 normMaxOfMultiArray(SrcIterator s, Shape const & shape, T & result, MetaInt<N>)
    00418 {
    00419     SrcIterator send = s + shape[N];
    00420     for(; s < send; ++s)
    00421     {
    00422         normMaxOfMultiArray(s.begin(), shape, result, MetaInt<N-1>());
    00423     }
    00424 }
    00425
    00426 template <class T>
    00427 struct MultiArrayL1Functor
    00428 {
    00429     template <class U>
    00430     T operator()(U t) const
    00431     { return norm(t); }
    00432 };
    00433
    00434 template <class T>
    00435 struct MultiArrayL2Functor
    00436 {
    00437     template <class U>
    00438     T operator()(U t) const
    00439     { return squaredNorm(t); }
    00440 };
    00441
    00442 template <class T>
    00443 struct MultiArrayScaledL2Functor
    00444 {
    00445     T scale;
    00446
    00447     MultiArrayScaledL2Functor(T s)
    00448     : scale(s)
    00449     {}
    00450
    00451     template <class U>
    00452     T operator()(U t) const
    00453     { return squaredNorm(T(t) / scale); }
    00454 };
    00455
    00456 template <class SrcIterator, class Shape, class Functor, class T>
    00457 inline void
    00458 sumOverMultiArray(SrcIterator s, Shape const & shape, Functor f, T & result, MetaInt<0>)
    00459 {
    00460     SrcIterator send = s + shape[0];
    00461     for(; s < send; ++s)
    00462     {
    00463         result += f(*s);
    00464     }
    00465 }
    00466
    00467 template <class SrcIterator, class Shape, class Functor, class T, int N>
    00468 void
    00469 sumOverMultiArray(SrcIterator s, Shape const & shape, Functor f, T & result, MetaInt<N>)
    00470 {
    00471     SrcIterator send = s + shape[N];
    00472     for(; s < send; ++s)
    00473     {
    00474         sumOverMultiArray(s.begin(), shape, f, result, MetaInt<N-1>());
    00475     }
    00476 }
    00477
    00478 template <class SrcIterator, class Shape, class DestIterator>
    00479 inline bool
    00480 equalityOfMultiArrays(SrcIterator s, Shape const & shape, DestIterator d, MetaInt<0>)
    00481 {
    00482     SrcIterator send = s + shape[0];
    00483     for(; s < send; ++s, ++d)
    00484     {
    00485         if(!(*s == *d))
    00486             return false;
    00487     }
    00488     return true;
    00489 }
    00490
    00491 template <class SrcIterator, class Shape, class DestIterator, int N>
    00492 bool
    00493 equalityOfMultiArrays(SrcIterator s, Shape const & shape, DestIterator d, MetaInt<N>)
    00494 {
    00495     SrcIterator send = s + shape[N];
    00496     for(; s < send; ++s, ++d)
    00497     {
    00498         if(!equalityOfMultiArrays(s.begin(), shape, d.begin(), MetaInt<N-1>()))
    00499             return false;
    00500     }
    00501     return true;
    00502 }
    00503
    00504
    00505 template <class SrcIterator, class Shape, class DestIterator>
    00506 inline void
    00507 swapDataImpl(SrcIterator s, Shape const & shape, DestIterator d, MetaInt<0>)
    00508 {
    00509     SrcIterator send = s + shape[0];
    00510     for(; s < send; ++s, ++d)
    00511         std::swap(*s, *d);
    00512 }
    00513
    00514 template <class SrcIterator, class Shape, class DestIterator, int N>
    00515 void
    00516 swapDataImpl(SrcIterator s, Shape const & shape, DestIterator d, MetaInt<N>)
    00517 {
    00518     SrcIterator send = s + shape[N];
    00519     for(; s < send; ++s, ++d)
    00520         swapDataImpl(s.begin(), shape, d.begin(), MetaInt<N-1>());
    00521 }
    00522
    00523 } // namespace detail
    00524
    00525 /********************************************************/
    00526 /*                                                      */
    00527 /*                     MultiArrayView                   */
    00528 /*                                                      */
    00529 /********************************************************/
    00530
    00531 // forward declaration
    00532 template <unsigned int N, class T, class C = UnstridedArrayTag>
    00533 class MultiArrayView;
    00534 template <unsigned int N, class T, class A = std::allocator<T> >
    00535 class MultiArray;
    00536
    00537 /********************************************************/
    00538 /*                                                      */
    00539 /*                       NormTraits                     */
    00540 /*                                                      */
    00541 /********************************************************/
    00542
    00543 template <unsigned int N, class T, class C>
    00544 struct NormTraits<MultiArrayView<N, T, C> >
    00545 {
    00546     typedef MultiArrayView<N, T, C>                                      Type;
    00547     typedef typename NormTraits<T>::SquaredNormType SquaredNormType;
    00548     typedef typename SquareRootTraits<SquaredNormType>::SquareRootResult NormType;
    00549 };
    00550
    00551 template <unsigned int N, class T, class A>
    00552 struct NormTraits<MultiArray<N, T, A> >
    00553 : public NormTraits<MultiArrayView<N, T, UnstridedArrayTag> >
    00554 {
    00555     typedef NormTraits<MultiArrayView<N, T, UnstridedArrayTag> > BaseType;
    00556     typedef MultiArray<N, T, A>                                  Type;
    00557     typedef typename BaseType::SquaredNormType                   SquaredNormType;
    00558     typedef typename BaseType::NormType                          NormType;
    00559 };
    00560
    00561 /** \brief Base class for, and view to, \ref vigra::MultiArray.
    00562
    00563 This class implements the interface of both MultiArray and
    00564 MultiArrayView.  By default, MultiArrayViews are tagged as
    00565 unstrided. If necessary, strided arrays are constructed automatically
    00566 by calls to a variant of the bind...() function.
    00567
    00568 If you want to apply an algorithm requiring an image to a
    00569 <tt>MultiArrayView</tt> of appropriate (2-dimensional) shape, you can
    00570 create a \ref vigra::BasicImageView that acts as a wrapper with the
    00571 necessary interface -- see \ref MultiArrayToImage.
    00572
    00573 The template parameter are as follows
    00574 \code
    00575     N: the array dimension
    00576
    00577     T: the type of the array elements
    00578
    00579     C: a tag determining whether the array's inner dimension is strided
    00580        or not. An array is unstrided if the array elements occupy consecutive
    00581        memory location, strided if there is an offset in between (e.g.
    00582        when a view is created that skips every other array element).
    00583        The compiler can generate faster code for unstrided arrays.
    00584        Possible values: UnstridedArrayTag (default), StridedArrayTag
    00585 \endcode
    00586
    00587 <b>\#include</b>
    00588 <<a href="multi__array_8hxx-source.html">vigra/multi_array.hxx</a>>
    00589
    00590 Namespace: vigra
    00591 */
    00592 template <unsigned int N, class T, class C>
    00593 class MultiArrayView
    00594 {
    00595 public:
    00596
    00597         /** the array's actual dimensionality.
    00598             This ensures that MultiArrayView can also be used for
    00599             scalars (that is, when <tt>N == 0</tt>). Calculated as:<br>
    00600             \code
    00601             actual_dimension = (N==0) ? 1 : N
    00602             \endcode
    00603          */
    00604     enum ActualDimension { actual_dimension = (N==0) ? 1 : N };
    00605
    00606         /** the array's value type
    00607          */
    00608     typedef T value_type;
    00609
    00610         /** reference type (result of operator[])
    00611          */
    00612     typedef value_type &reference;
    00613
    00614         /** const reference type (result of operator[] const)
    00615          */
    00616     typedef const value_type &const_reference;
    00617
    00618         /** pointer type
    00619          */
    00620     typedef value_type *pointer;
    00621
    00622         /** const pointer type
    00623          */
    00624     typedef const value_type *const_pointer;
    00625
    00626         /** difference type (used for multi-dimensional offsets and indices)
    00627          */
    00628     typedef typename MultiArrayShape<actual_dimension>::type difference_type;
    00629
    00630         /** size type
    00631          */
    00632     typedef difference_type size_type;
    00633
    00634         /** difference and index type for a single dimension
    00635          */
    00636     typedef MultiArrayIndex difference_type_1;
    00637
    00638         /** traverser (MultiIterator) type
    00639          */
    00640     typedef typename vigra::detail::MultiIteratorChooser <
    00641         C>::template Traverser <actual_dimension, T, T &, T *>::type traverser;
    00642
    00643         /** const traverser (MultiIterator) type
    00644          */
    00645     typedef typename vigra::detail::MultiIteratorChooser <
    00646         C>::template Traverser <actual_dimension, T, T const &, T const *>::type const_traverser;
    00647
    00648         /** the view type associated with this array.
    00649          */
    00650     typedef MultiArrayView <N, T, C> view_type;
    00651
    00652         /** the matrix type associated with this array.
    00653          */
    00654     typedef MultiArray <N, T> matrix_type;
    00655
    00656 protected:
    00657
    00658     typedef typename difference_type::value_type diff_zero_t;
    00659
    00660         /** the shape of the image pointed to is stored here.
    00661         */
    00662     difference_type m_shape;
    00663
    00664         /** the strides (offset of a sample to the next) for every dimension
    00665             are stored here.
    00666         */
    00667     difference_type m_stride;
    00668
    00669         /** pointer to the image.
    00670          */
    00671     pointer m_ptr;
    00672
    00673     template <class U, class CN>
    00674     void copyImpl(const MultiArrayView <N, U, CN>& rhs);
    00675
    00676     template <class U, class CN>
    00677     void swapDataImpl(MultiArrayView <N, U, CN> rhs);
    00678
    00679     template <class U, class CN>
    00680     bool arraysOverlap(const MultiArrayView <N, U, CN>& rhs) const;
    00681
    00682 public:
    00683
    00684         /** default constructor: create an empty image of size 0.
    00685          */
    00686     MultiArrayView ()
    00687         : m_shape (diff_zero_t(0)), m_stride (diff_zero_t(0)), m_ptr (0)
    00688     {}
    00689
    00690         /** construct from shape and pointer
    00691          */
    00692     MultiArrayView (const difference_type &shape, pointer ptr)
    00693     : m_shape (shape),
    00694       m_stride (detail::defaultStride <MultiArrayView<N,T>::actual_dimension> (shape)),
    00695       m_ptr (ptr)
    00696     {}
    00697
    00698         /** construct from shape, strides (offset of a sample to the next)
    00699             for every dimension) and pointer
    00700          */
    00701     MultiArrayView (const difference_type &shape,
    00702                     const difference_type &stride,
    00703                     pointer ptr)
    00704     : m_shape (shape),
    00705       m_stride (stride),
    00706       m_ptr (ptr)
    00707     {}
    00708
    00709
    00710         /** Assignment. There are 3 cases:
    00711
    00712             <ul>
    00713             <li> When this <tt>MultiArrayView</tt> does not point to valid data
    00714                  (e.g. after default construction), it becomes a copy of \a rhs.
    00715             <li> When the shapes of the two arrays match, the array contents are copied.
    00716             <li> Otherwise, a <tt>PreconditionViolation</tt> exception is thrown.
    00717             </ul>
    00718          */
    00719     MultiArrayView & operator=(MultiArrayView const & rhs);
    00720
    00721         /** Assignment of a differently typed MultiArrayView. Fails with
    00722             <tt>PreconditionViolation</tt> exception when the shapes do not match.
    00723          */
    00724     template<class U, class C1>
    00725     MultiArrayView & operator=(MultiArrayView<N, U, C1> const & rhs)
    00726     {
    00727         vigra_precondition(this->shape() == rhs.shape(),
    00728             "MultiArrayView::operator=() size mismatch.");
    00729         this->copyImpl(rhs);
    00730         return *this;
    00731     }
    00732
    00733         /** Add-assignment of a compatible MultiArrayView. Fails with
    00734             <tt>PreconditionViolation</tt> exception when the shapes do not match.
    00735          */
    00736     template<class U, class C1>
    00737     MultiArrayView & operator+=(MultiArrayView<N, U, C1> const & rhs);
    00738
    00739         /** Subtract-assignment of a compatible MultiArrayView. Fails with
    00740             <tt>PreconditionViolation</tt> exception when the shapes do not match.
    00741          */
    00742     template<class U, class C1>
    00743     MultiArrayView & operator-=(MultiArrayView<N, U, C1> const & rhs);
    00744
    00745         /** Multiply-assignment of a compatible MultiArrayView. Fails with
    00746             <tt>PreconditionViolation</tt> exception when the shapes do not match.
    00747          */
    00748     template<class U, class C1>
    00749     MultiArrayView & operator*=(MultiArrayView<N, U, C1> const & rhs);
    00750
    00751         /** Divide-assignment of a compatible MultiArrayView. Fails with
    00752             <tt>PreconditionViolation</tt> exception when the shapes do not match.
    00753          */
    00754     template<class U, class C1>
    00755     MultiArrayView & operator/=(MultiArrayView<N, U, C1> const & rhs);
    00756
    00757         /** Add-assignment of a scalar.
    00758          */
    00759     MultiArrayView & operator+=(T const & rhs)
    00760     {
    00761         detail::copyAddScalarMultiArrayData(traverser_begin(), shape(), rhs, MetaInt<actual_dimension-1>());
    00762         return *this;
    00763     }
    00764
    00765         /** Subtract-assignment of a scalar.
    00766          */
    00767     MultiArrayView & operator-=(T const & rhs)
    00768     {
    00769         detail::copySubScalarMultiArrayData(traverser_begin(), shape(), rhs, MetaInt<actual_dimension-1>());
    00770         return *this;
    00771     }
    00772
    00773         /** Multiply-assignment of a scalar.
    00774          */
    00775     MultiArrayView & operator*=(T const & rhs)
    00776     {
    00777         detail::copyMulScalarMultiArrayData(traverser_begin(), shape(), rhs, MetaInt<actual_dimension-1>());
    00778         return *this;
    00779     }
    00780
    00781         /** Divide-assignment of a scalar.
    00782          */
    00783     MultiArrayView & operator/=(T const & rhs)
    00784     {
    00785         detail::copyDivScalarMultiArrayData(traverser_begin(), shape(), rhs, MetaInt<actual_dimension-1>());
    00786         return *this;
    00787     }
    00788
    00789         /** array access.
    00790          */
    00791     reference operator[] (const difference_type &d)
    00792     {
    00793         return m_ptr [dot (d, m_stride)];
    00794     }
    00795
    00796         /** array access.
    00797          */
    00798     const_reference operator[] (const difference_type &d) const
    00799     {
    00800         return m_ptr [dot (d, m_stride)];
    00801     }
    00802
    00803         /** array access in scan-order sense.
    00804             Mostly useful to support standard indexing for 1-dimensional multi-arrays,
    00805             but works for any N. Use scanOrderIndexToCoordinate() and
    00806             coordinateToScanOrderIndex() for conversion between indices and coordinates.
    00807          */
    00808     reference operator[](difference_type_1 d)
    00809     {
    00810         return m_ptr [detail::ScanOrderToOffset<actual_dimension>::exec(d, m_shape, m_stride)];
    00811     }
    00812
    00813         /** array access in scan-order sense.
    00814             Mostly useful to support standard indexing for 1-dimensional multi-arrays,
    00815             but works for any N. Use scanOrderIndexToCoordinate() and
    00816             coordinateToScanOrderIndex() for conversion between indices and coordinates.
    00817          */
    00818     const_reference operator[](difference_type_1 d) const
    00819     {
    00820         return m_ptr [detail::ScanOrderToOffset<actual_dimension>::exec(d, m_shape, m_stride)];
    00821     }
    00822
    00823         /** convert scan-order index to coordinate.
    00824          */
    00825     difference_type scanOrderIndexToCoordinate(difference_type_1 d) const
    00826     {
    00827         difference_type result;
    00828         detail::ScanOrderToCoordinate<actual_dimension>::exec(d, m_shape, result);
    00829         return result;
    00830     }
    00831
    00832         /** convert coordinate to scan-order index.
    00833          */
    00834     difference_type_1 coordinateToScanOrderIndex(const difference_type &d) const
    00835     {
    00836         return detail::CoordinateToScanOrder<actual_dimension>::exec(m_shape, d);
    00837     }
    00838
    00839         /** 1D array access. Use only if N == 1.
    00840          */
    00841     reference operator() (difference_type_1 x)
    00842     {
    00843         return m_ptr [detail::CoordinatesToOffest<C>::exec(m_stride, x)];
    00844     }
    00845
    00846         /** 2D array access. Use only if N == 2.
    00847          */
    00848     reference operator() (difference_type_1 x, difference_type_1 y)
    00849     {
    00850         return m_ptr [detail::CoordinatesToOffest<C>::exec(m_stride, x, y)];
    00851     }
    00852
    00853         /** 3D array access. Use only if N == 3.
    00854          */
    00855     reference operator() (difference_type_1 x, difference_type_1 y, difference_type_1 z)
    00856     {
    00857         return m_ptr [m_stride[0]*x + m_stride[1]*y + m_stride[2]*z];
    00858     }
    00859
    00860         /** 4D array access. Use only if N == 4.
    00861          */
    00862     reference operator() (difference_type_1 x, difference_type_1 y,
    00863                           difference_type_1 z, difference_type_1 u)
    00864     {
    00865         return m_ptr [m_stride[0]*x + m_stride[1]*y + m_stride[2]*z + m_stride[3]*u];
    00866     }
    00867
    00868         /** 5D array access. Use only if N == 5.
    00869          */
    00870     reference operator() (difference_type_1 x, difference_type_1 y, difference_type_1 z,
    00871                           difference_type_1 u, difference_type_1 v)
    00872     {
    00873         return m_ptr [m_stride[0]*x + m_stride[1]*y + m_stride[2]*z + m_stride[3]*u + m_stride[4]*v];
    00874     }
    00875
    00876         /** 1D const array access. Use only if N == 1.
    00877          */
    00878     const_reference operator() (difference_type_1 x) const
    00879     {
    00880         return m_ptr [detail::CoordinatesToOffest<C>::exec(m_stride, x)];
    00881     }
    00882
    00883         /** 2D const array access. Use only if N == 2.
    00884          */
    00885     const_reference operator() (difference_type_1 x, difference_type_1 y) const
    00886     {
    00887         return m_ptr [detail::CoordinatesToOffest<C>::exec(m_stride, x, y)];
    00888     }
    00889
    00890         /** 3D const array access. Use only if N == 3.
    00891          */
    00892     const_reference operator() (difference_type_1 x, difference_type_1 y, difference_type_1 z) const
    00893     {
    00894         return m_ptr [m_stride[0]*x + m_stride[1]*y + m_stride[2]*z];
    00895     }
    00896
    00897         /** 4D const array access. Use only if N == 4.
    00898          */
    00899     const_reference operator() (difference_type_1 x, difference_type_1 y,
    00900                                 difference_type_1 z, difference_type_1 u) const
    00901     {
    00902         return m_ptr [m_stride[0]*x + m_stride[1]*y + m_stride[2]*z + m_stride[3]*u];
    00903     }
    00904
    00905         /** 5D const array access. Use only if N == 5.
    00906          */
    00907     const_reference operator() (difference_type_1 x, difference_type_1 y, difference_type_1 z,
    00908                                 difference_type_1 u, difference_type_1 v) const
    00909     {
    00910         return m_ptr [m_stride[0]*x + m_stride[1]*y + m_stride[2]*z + m_stride[3]*u + m_stride[4]*v];
    00911     }
    00912
    00913         /** Init with a constant.
    00914          */
    00915     template <class U>
    00916     MultiArrayView & init(const U & init)
    00917     {
    00918         detail::copyScalarMultiArrayData(traverser_begin(), shape(), init, MetaInt<actual_dimension-1>());
    00919         return *this;
    00920     }
    00921
    00922
    00923         /** Copy the data of the right-hand array (array shapes must match).
    00924          */
    00925     void copy(const MultiArrayView & rhs)
    00926     {
    00927         if(this == &rhs)
    00928             return;
    00929         this->copyImpl(rhs);
    00930     }
    00931
    00932         /** Copy the data of the right-hand array (array shapes must match).
    00933          */
    00934     template <class U, class CN>
    00935     void copy(const MultiArrayView <N, U, CN>& rhs)
    00936     {
    00937         this->copyImpl(rhs);
    00938     }
    00939
    00940         /** swap the data between two MultiArrayView objects.
    00941
    00942             The shapes of the two array must match.
    00943         */
    00944     void swapData(MultiArrayView rhs)
    00945     {
    00946         if(this != &rhs)
    00947             swapDataImpl(rhs);
    00948     }
    00949
    00950         /** swap the data between two MultiArrayView objects.
    00951
    00952             The shapes of the two array must match.
    00953         */
    00954     template <class T2, class C2>
    00955     void swapData(MultiArrayView <N, T2, C2> rhs)
    00956     {
    00957         swapDataImpl(rhs);
    00958     }
    00959
    00960         /** bind the M outmost dimensions to certain indices.
    00961             this reduces the dimensionality of the image to
    00962             max { 1, N-M }.
    00963
    00964             <b>Usage:</b>
    00965             \code
    00966             // create a 3D array of size 40x30x20
    00967             typedef MultiArray<3, double>::difference_type Shape;
    00968             MultiArray<3, double> array3(Shape(40, 30, 20));
    00969
    00970             // get a 1D array by fixing index 1 to 12, and index 2 to 10
    00971             MultiArrayView <1, double> array1 = array3.bindOuter(TinyVector<int, 2>(12, 10));
    00972             \endcode
    00973         */
    00974     template <unsigned int M>
    00975     MultiArrayView <N-M, T, C> bindOuter (const TinyVector <MultiArrayIndex, M> &d) const;
    00976
    00977         /** bind the M innermost dimensions to certain indices.
    00978             this reduces the dimensionality of the image to
    00979             max { 1, N-M }.
    00980
    00981             <b>Usage:</b>
    00982             \code
    00983             // create a 3D array of size 40x30x20
    00984             typedef MultiArray<3, double>::difference_type Shape;
    00985             MultiArray<3, double> array3(Shape(40, 30, 20));
    00986
    00987             // get a 1D array by fixing index 0 to 12, and index 1 to 10
    00988             MultiArrayView <1, double, StridedArrayTag> array1 = array3.bindInner(TinyVector<int, 2>(12, 10));
    00989             \endcode
    00990         */
    00991     template <unsigned int M>
    00992     MultiArrayView <N-M, T, StridedArrayTag>
    00993     bindInner (const TinyVector <MultiArrayIndex, M> &d) const;
    00994
    00995         /** bind dimension M to index d.
    00996             this reduces the dimensionality of the image to
    00997             max { 1, N-1 }.
    00998
    00999             <b>Usage:</b>
    01000             \code
    01001             // create a 3D array of size 40x30x20
    01002             typedef MultiArray<3, double>::difference_type Shape;
    01003             MultiArray<3, double> array3(Shape(40, 30, 20));
    01004
    01005             // get a 2D array by fixing index 1 to 12
    01006             MultiArrayView <2, double> array2 = array3.bind<1>(12);
    01007
    01008             // get a 2D array by fixing index 0 to 23
    01009             MultiArrayView <2, double, StridedArrayTag> array2a = array3.bind<0>(23);
    01010             \endcode
    01011          */
    01012     template <unsigned int M>
    01013     MultiArrayView <N-1, T, typename vigra::detail::MaybeStrided <M>::type >
    01014     bind (difference_type_1 d) const;
    01015
    01016         /** bind the outmost dimension to a certain index.
    01017             this reduces the dimensionality of the image to
    01018             max { 1, N-1 }.
    01019
    01020             <b>Usage:</b>
    01021             \code
    01022             // create a 3D array of size 40x30x20
    01023             typedef MultiArray<3, double>::difference_type Shape;
    01024             MultiArray<3, double> array3(Shape(40, 30, 20));
    01025
    01026             // get a 2D array by fixing the outermost index (i.e. index 2) to 12
    01027             MultiArrayView <2, double> array2 = array3.bindOuter(12);
    01028             \endcode
    01029         */
    01030     MultiArrayView <N-1, T, C> bindOuter (difference_type_1 d) const;
    01031
    01032         /** bind the innermost dimension to a certain index.
    01033             this reduces the dimensionality of the image to
    01034             max { 1, N-1 }.
    01035
    01036             <b>Usage:</b>
    01037             \code
    01038             // create a 3D array of size 40x30x20
    01039             typedef MultiArray<3, double>::difference_type Shape;
    01040             MultiArray<3, double> array3(Shape(40, 30, 20));
    01041
    01042             // get a 2D array by fixing the innermost index (i.e. index 0) to 23
    01043             MultiArrayView <2, double, StridedArrayTag> array2 = array3.bindInner(23);
    01044             \endcode
    01045         */
    01046     MultiArrayView <N-1, T, StridedArrayTag> bindInner (difference_type_1 d) const;
    01047
    01048         /** bind dimension m to index d.
    01049             this reduces the dimensionality of the image to
    01050             max { 1, N-1 }.
    01051
    01052             <b>Usage:</b>
    01053             \code
    01054             // create a 3D array of size 40x30x20
    01055             typedef MultiArray<3, double>::difference_type Shape;
    01056             MultiArray<3, double> array3(Shape(40, 30, 20));
    01057
    01058             // get a 2D array by fixing index 2 to 15
    01059             MultiArrayView <2, double, StridedArrayTag> array2 = array3.bindAt(2, 15);
    01060             \endcode
    01061          */
    01062     MultiArrayView <N-1, T, StridedArrayTag>
    01063     bindAt (difference_type_1 m, difference_type_1 d) const;
    01064
    01065         /** create a rectangular subarray that spans between the
    01066             points p and q, where p is in the subarray, q not.
    01067
    01068             <b>Usage:</b>
    01069             \code
    01070             // create a 3D array of size 40x30x20
    01071             typedef MultiArray<3, double>::difference_type Shape;
    01072             MultiArray<3, double> array3(Shape(40, 30, 20));
    01073
    01074             // get a subarray set is smaller by one element at all sides
    01075             MultiArrayView <3, double> subarray = array3.subarray(Shape(1,1,1), Shape(39, 29, 19));
    01076             \endcode
    01077         */
    01078     MultiArrayView subarray (const difference_type &p,
    01079                              const difference_type &q) const
    01080     {
    01081         const difference_type_1 offset = dot (m_stride, p);
    01082         return MultiArrayView (q - p, m_stride, m_ptr + offset);
    01083     }
    01084
    01085         /** apply an additional striding to the image, thereby reducing
    01086             the shape of the array.
    01087             for example, multiplying the stride of dimension one by three
    01088             turns an appropriately layed out (interleaved) rgb image into
    01089             a single band image.
    01090         */
    01091     MultiArrayView <N, T, StridedArrayTag>
    01092     stridearray (const difference_type &s) const
    01093     {
    01094         difference_type shape = m_shape;
    01095         for (unsigned int i = 0; i < actual_dimension; ++i)
    01096             shape [i] /= s [i];
    01097         return MultiArrayView <N, T, StridedArrayTag>
    01098             (shape, m_stride * s, m_ptr);
    01099     }
    01100
    01101         /** permute the dimensions of the array.
    01102             The function exchanges the meaning of the dimensions without copying the data.
    01103             In case of a 2-dimensional array, this is simply array transposition. In higher dimensions,
    01104             there are more possibilities.
    01105
    01106             <b>Usage:</b><br>
    01107             \code
    01108             typedef MultiArray<2, double>::difference_type Shape;
    01109             MultiArray<2, double> array(10, 20);
    01110
    01111             MultiArray<2, double, StridedArrayTag> transposed = array.permuteDimensions(Shape(1,0));
    01112
    01113             for(int i=0; i<array.shape(0), ++i)
    01114                 for(int j=0; j<array.shape(1); ++j)
    01115                     assert(array(i, j) == transposed(j, i));
    01116             \endcode
    01117         */
    01118     MultiArrayView <N, T, StridedArrayTag>
    01119     permuteDimensions (const difference_type &s) const
    01120     {
    01121         difference_type shape, stride, check((typename difference_type::value_type)0);
    01122         for (unsigned int i = 0; i < actual_dimension; ++i)
    01123         {
    01124             shape[i]  = m_shape[s[i]];
    01125             stride[i] = m_stride[s[i]];
    01126             ++check[s[i]];
    01127         }
    01128         vigra_precondition(check == difference_type(1),
    01129            "MultiArrayView::permuteDimensions(): every dimension must occur exactly once.");
    01130         return MultiArrayView <N, T, StridedArrayTag>(shape, stride, m_ptr);
    01131     }
    01132
    01133         /** transpose a 2-dimensional array. Use only if N==2.
    01134
    01135             <b>Usage:</b><br>
    01136             \code
    01137             typedef MultiArray<2, double>::difference_type Shape;
    01138             MultiArray<2, double> array(10, 20);
    01139
    01140             MultiArray<2, double, StridedArrayTag> transposed = array.transpose();
    01141
    01142             for(int i=0; i<array.shape(0), ++i)
    01143                 for(int j=0; j<array.shape(1); ++j)
    01144                     assert(array(i, j) == transposed(j, i));
    01145             \endcode
    01146         */
    01147     MultiArrayView <2, T, StridedArrayTag>
    01148     transpose () const
    01149     {
    01150         difference_type shape(m_shape[1], m_shape[0]),
    01151                         stride(m_stride[1], m_stride[0]);
    01152         return MultiArrayView <2, T, StridedArrayTag>(shape, stride, m_ptr);
    01153     }
    01154
    01155         /** number of the elements in the array.
    01156          */
    01157     difference_type_1 elementCount () const
    01158     {
    01159         difference_type_1 ret = m_shape[0];
    01160         for(int i = 1; i < actual_dimension; ++i)
    01161             ret *= m_shape[i];
    01162         return ret;
    01163     }
    01164
    01165         /** number of the elements in the array.
    01166             Same as <tt>elementCount()</tt>. Mostly useful to support the std::vector interface.
    01167          */
    01168     difference_type_1 size () const
    01169     {
    01170         return elementCount();
    01171     }
    01172
    01173         /** return the array's shape.
    01174          */
    01175     const difference_type & shape () const
    01176     {
    01177         return m_shape;
    01178     }
    01179
    01180         /** return the array's size at a certain dimension.
    01181          */
    01182     difference_type_1 size (difference_type_1 n) const
    01183     {
    01184         return m_shape [n];
    01185     }
    01186
    01187         /** return the array's shape at a certain dimension
    01188             (same as <tt>size(n)</tt>).
    01189          */
    01190     difference_type_1 shape (difference_type_1 n) const
    01191     {
    01192         return m_shape [n];
    01193     }
    01194
    01195         /** return the array's stride for every dimension.
    01196          */
    01197     const difference_type & stride () const
    01198     {
    01199         return m_stride;
    01200     }
    01201
    01202         /** return the array's stride at a certain dimension.
    01203          */
    01204     difference_type_1 stride (int n) const
    01205     {
    01206         return m_stride [n];
    01207     }
    01208
    01209         /** check whether two arrays are elementwise equal.
    01210          */
    01211     template <class U, class C1>
    01212     bool operator==(MultiArrayView<N, U, C1> const & rhs) const
    01213     {
    01214         if(this->shape() != rhs.shape())
    01215             return false;
    01216         return detail::equalityOfMultiArrays(traverser_begin(), shape(), rhs.traverser_begin(), MetaInt<actual_dimension-1>());
    01217     }
    01218
    01219         /** check whether two arrays are not elementwise equal.
    01220             Also true when the two arrays have different shapes.
    01221          */
    01222     template <class U, class C1>
    01223     bool operator!=(MultiArrayView<N, U, C1> const & rhs) const
    01224     {
    01225         return !operator==(rhs);
    01226     }
    01227
    01228         /** check whether the given point is in the array range.
    01229          */
    01230     bool isInside (difference_type const & p) const
    01231     {
    01232         for(int d=0; d<actual_dimension; ++d)
    01233             if(p[d] < 0 || p[d] >= shape(d))
    01234                 return false;
    01235         return true;
    01236     }
    01237
    01238         /** Compute the squared Euclidean norm of the array (sum of squares of the array elements).
    01239          */
    01240     typename NormTraits<MultiArrayView>::SquaredNormType squaredNorm() const
    01241     {
    01242         typedef typename NormTraits<MultiArrayView>::SquaredNormType SquaredNormType;
    01243         SquaredNormType res = NumericTraits<SquaredNormType>::zero();
    01244         detail::sumOverMultiArray(traverser_begin(), shape(), detail::MultiArrayL2Functor<SquaredNormType>(),
    01245                                   res, MetaInt<actual_dimension-1>());
    01246         return res;
    01247     }
    01248
    01249         /** Compute various norms of the array.
    01250             The norm is determined by parameter \a type:
    01251
    01252             <ul>
    01253             <li> type == 0: maximum norm (L-infinity): maximum of absolute values of the array elements
    01254             <li> type == 1: Manhattan norm (L1): sum of absolute values of the array elements
    01255             <li> type == 2: Euclidean norm (L2): square root of <tt>squaredNorm()</tt> when \a useSquaredNorm is <tt>true</tt>,<br>
    01256                  or direct algorithm that avoids underflow/overflow otherwise.
    01257             </ul>
    01258
    01259             Parameter \a useSquaredNorm has no effect when \a type != 2. Defaults: compute L2 norm as square root of
    01260             <tt>squaredNorm()</tt>.
    01261          */
    01262     typename NormTraits<MultiArrayView>::NormType norm(int type = 2, bool useSquaredNorm = true) const;
    01263
    01264         /** return the pointer to the image data
    01265          */
    01266     pointer data () const
    01267     {
    01268         return m_ptr;
    01269     }
    01270
    01271         /** returns the N-dimensional MultiIterator pointing
    01272             to the first element in every dimension.
    01273         */
    01274     traverser traverser_begin ()
    01275     {
    01276         traverser ret (m_ptr, m_stride.begin (), m_shape.begin ());
    01277         return ret;
    01278     }
    01279
    01280         /** returns the N-dimensional MultiIterator pointing
    01281             to the const first element in every dimension.
    01282         */
    01283     const_traverser traverser_begin () const
    01284     {
    01285         const_traverser ret (m_ptr, m_stride.begin (), m_shape.begin ());
    01286         return ret;
    01287     }
    01288
    01289         /** returns the N-dimensional MultiIterator pointing
    01290             beyond the last element in dimension N, and to the
    01291             first element in every other dimension.
    01292         */
    01293     traverser traverser_end ()
    01294     {
    01295         traverser ret (m_ptr, m_stride.begin (), m_shape.begin ());
    01296         ret += m_shape [actual_dimension-1];
    01297         return ret;
    01298     }
    01299
    01300         /** returns the N-dimensional const MultiIterator pointing
    01301             beyond the last element in dimension N, and to the
    01302             first element in every other dimension.
    01303         */
    01304     const_traverser traverser_end () const
    01305     {
    01306         const_traverser ret (m_ptr, m_stride.begin (), m_shape.begin ());
    01307         ret += m_shape [actual_dimension-1];
    01308         return ret;
    01309     }
    01310
    01311     view_type view ()
    01312     {
    01313         return *this;
    01314     }
    01315 };
    01316
    01317 template <unsigned int N, class T, class C>
    01318 MultiArrayView<N, T, C> &
    01319 MultiArrayView <N, T, C>::operator=(MultiArrayView<N, T, C> const & rhs)
    01320 {
    01321     if(this == &rhs)
    01322         return *this;
    01323     vigra_precondition(this->shape() == rhs.shape() || m_ptr == 0,
    01324         "MultiArrayView::operator=(MultiArrayView const &) size mismatch - use MultiArrayView::reset().");
    01325     if(m_ptr == 0)
    01326     {
    01327         m_shape  = rhs.m_shape;
    01328         m_stride = rhs.m_stride;
    01329         m_ptr    = rhs.m_ptr;
    01330     }
    01331     else
    01332         this->copyImpl(rhs);
    01333     return *this;
    01334 }
    01335
    01336 template <unsigned int N, class T, class C>
    01337 template <class U, class CN>
    01338 bool
    01339 MultiArrayView <N, T, C>::arraysOverlap(const MultiArrayView <N, U, CN>& rhs) const
    01340 {
    01341     vigra_precondition (shape () == rhs.shape (),
    01342         "MultiArrayView::arraysOverlap(): shape mismatch.");
    01343     const_pointer first_element = this->m_ptr,
    01344                   last_element = first_element + dot(this->m_shape - difference_type(1), this->m_stride);
    01345     typename MultiArrayView <N, U, CN>::const_pointer
    01346            rhs_first_element = rhs.data(),
    01347            rhs_last_element = rhs_first_element + dot(rhs.shape() - difference_type(1), rhs.stride());
    01348     return !(last_element < rhs_first_element || rhs_last_element < first_element);
    01349 }
    01350
    01351 template <unsigned int N, class T, class C>
    01352 template <class U, class CN>
    01353 void
    01354 MultiArrayView <N, T, C>::copyImpl(const MultiArrayView <N, U, CN>& rhs)
    01355 {
    01356     if(!arraysOverlap(rhs))
    01357     {
    01358         // no overlap -- can copy directly
    01359         detail::copyMultiArrayData(rhs.traverser_begin(), shape(), traverser_begin(), MetaInt<actual_dimension-1>());
    01360     }
    01361     else
    01362     {
    01363         // overlap: we got different views to the same data -- copy to intermediate memory in order to avoid
    01364         // overwriting elements that are still needed on the rhs.
    01365         MultiArray<N, T> tmp(rhs);
    01366         detail::copyMultiArrayData(tmp.traverser_begin(), shape(), traverser_begin(), MetaInt<actual_dimension-1>());
    01367     }
    01368 }
    01369
    01370 #define VIGRA_MULTI_ARRY_COMPUTED_ASSIGNMENT(name, op) \
    01371 template <unsigned int N, class T, class C> \
    01372 template<class U, class C1> \
    01373 MultiArrayView<N, T, C> &  \
    01374 MultiArrayView <N, T, C>::operator op(MultiArrayView<N, U, C1> const & rhs) \
    01375 { \
    01376     vigra_precondition(this->shape() == rhs.shape(), "MultiArrayView::operator" #op "() size mismatch."); \
    01377     if(!arraysOverlap(rhs)) \
    01378     { \
    01379         detail::name##MultiArrayData(rhs.traverser_begin(), shape(), traverser_begin(), MetaInt<actual_dimension-1>()); \
    01380     } \
    01381     else \
    01382     { \
    01383         MultiArray<N, T> tmp(rhs); \
    01384         detail::name##MultiArrayData(tmp.traverser_begin(), shape(), traverser_begin(), MetaInt<actual_dimension-1>()); \
    01385     } \
    01386     return *this; \
    01387 }
    01388
    01389 VIGRA_MULTI_ARRY_COMPUTED_ASSIGNMENT(copyAdd, +=)
    01390 VIGRA_MULTI_ARRY_COMPUTED_ASSIGNMENT(copySub, -=)
    01391 VIGRA_MULTI_ARRY_COMPUTED_ASSIGNMENT(copyMul, *=)
    01392 VIGRA_MULTI_ARRY_COMPUTED_ASSIGNMENT(copyDiv, /=)
    01393
    01394 #undef VIGRA_MULTI_ARRY_COMPUTED_ASSIGNMENT
    01395
    01396 template <unsigned int N, class T, class C>
    01397 template <class U, class CN>
    01398 void
    01399 MultiArrayView <N, T, C>::swapDataImpl(MultiArrayView <N, U, CN> rhs)
    01400 {
    01401     vigra_precondition (shape () == rhs.shape (),
    01402         "MultiArrayView::swapData(): shape mismatch.");
    01403
    01404     // check for overlap of this and rhs
    01405     const_pointer first_element = this->m_ptr,
    01406                   last_element = first_element + dot(this->m_shape - difference_type(1), this->m_stride);
    01407     typename MultiArrayView <N, U, CN>::const_pointer
    01408            rhs_first_element = rhs.data(),
    01409            rhs_last_element = rhs_first_element + dot(rhs.shape() - difference_type(1), rhs.stride());
    01410     if(last_element < rhs_first_element || rhs_last_element < first_element)
    01411     {
    01412         // no overlap -- can swap directly
    01413         detail::swapDataImpl(traverser_begin(), shape(), rhs.traverser_begin(), MetaInt<actual_dimension-1>());
    01414     }
    01415     else
    01416     {
    01417         // overlap: we got different views to the same data -- copy to intermediate memory in order to avoid
    01418         // overwriting elements that are still needed.
    01419         MultiArray<N, T> tmp(*this);
    01420         copy(rhs);
    01421         rhs.copy(tmp);
    01422     }
    01423 }
    01424
    01425 template <unsigned int N, class T, class C>
    01426 template <unsigned int M>
    01427 MultiArrayView <N-M, T, C>
    01428 MultiArrayView <N, T, C>::bindOuter (const TinyVector <MultiArrayIndex, M> &d) const
    01429 {
    01430     TinyVector <MultiArrayIndex, M> stride;
    01431     stride.init (m_stride.begin () + N-M, m_stride.end ());
    01432     pointer ptr = m_ptr + dot (d, stride);
    01433     static const int NNew = (N-M == 0) ? 1 : N-M;
    01434     TinyVector <MultiArrayIndex, NNew> inner_shape, inner_stride;
    01435     if (N-M == 0)
    01436     {
    01437         inner_shape [0] = 1;
    01438         inner_stride [0] = 0;
    01439     }
    01440     else
    01441     {
    01442         inner_shape.init (m_shape.begin (), m_shape.end () - M);
    01443         inner_stride.init (m_stride.begin (), m_stride.end () - M);
    01444     }
    01445     return MultiArrayView <N-M, T, C> (inner_shape, inner_stride, ptr);
    01446 }
    01447
    01448 template <unsigned int N, class T, class C>
    01449 template <unsigned int M>
    01450 MultiArrayView <N - M, T, StridedArrayTag>
    01451 MultiArrayView <N, T, C>::bindInner (const TinyVector <MultiArrayIndex, M> &d) const
    01452 {
    01453     TinyVector <MultiArrayIndex, M> stride;
    01454     stride.init (m_stride.begin (), m_stride.end () - N + M);
    01455     pointer ptr = m_ptr + dot (d, stride);
    01456     static const int NNew = (N-M == 0) ? 1 : N-M;
    01457     TinyVector <MultiArrayIndex, NNew> outer_shape, outer_stride;
    01458     if (N-M == 0)
    01459     {
    01460         outer_shape [0] = 1;
    01461         outer_stride [0] = 0;
    01462     }
    01463     else
    01464     {
    01465         outer_shape.init (m_shape.begin () + M, m_shape.end ());
    01466         outer_stride.init (m_stride.begin () + M, m_stride.end ());
    01467     }
    01468     return MultiArrayView <N-M, T, StridedArrayTag>
    01469         (outer_shape, outer_stride, ptr);
    01470 }
    01471
    01472 template <unsigned int N, class T, class C>
    01473 template <unsigned int M>
    01474 MultiArrayView <N-1, T, typename detail::MaybeStrided <M>::type >
    01475 MultiArrayView <N, T, C>::bind (difference_type_1 d) const
    01476 {
    01477     static const int NNew = (N-1 == 0) ? 1 : N-1;
    01478     TinyVector <MultiArrayIndex, NNew> shape, stride;
    01479     // the remaining dimensions are 0..n-1,n+1..N-1
    01480     if (N-1 == 0)
    01481     {
    01482         shape[0] = 1;
    01483         stride[0] = 0;
    01484     }
    01485     else
    01486     {
    01487         std::copy (m_shape.begin (), m_shape.begin () + M, shape.begin ());
    01488         std::copy (m_shape.begin () + M+1, m_shape.end (),
    01489                    shape.begin () + M);
    01490         std::copy (m_stride.begin (), m_stride.begin () + M, stride.begin ());
    01491         std::copy (m_stride.begin () + M+1, m_stride.end (),
    01492                    stride.begin () + M);
    01493     }
    01494     return MultiArrayView <N-1, T, typename detail::MaybeStrided <M>::type>
    01495         (shape, stride, m_ptr + d * m_stride[M]);
    01496 }
    01497
    01498 template <unsigned int N, class T, class C>
    01499 MultiArrayView <N - 1, T, C>
    01500 MultiArrayView <N, T, C>::bindOuter (difference_type_1 d) const
    01501 {
    01502     static const int NNew = (N-1 == 0) ? 1 : N-1;
    01503     TinyVector <MultiArrayIndex, NNew> inner_shape, inner_stride;
    01504     if (N-1 == 0)
    01505     {
    01506         inner_shape [0] = 1;
    01507         inner_stride [0] = 0;
    01508     }
    01509     else
    01510     {
    01511         inner_shape.init (m_shape.begin (), m_shape.end () - 1);
    01512         inner_stride.init (m_stride.begin (), m_stride.end () - 1);
    01513     }
    01514     return MultiArrayView <N-1, T, C> (inner_shape, inner_stride,
    01515                                        m_ptr + d * m_stride [N-1]);
    01516 }
    01517
    01518 template <unsigned int N, class T, class C>
    01519 MultiArrayView <N - 1, T, StridedArrayTag>
    01520 MultiArrayView <N, T, C>::bindInner (difference_type_1 d) const
    01521 {
    01522     static const int NNew = (N-1 == 0) ? 1 : N-1;
    01523     TinyVector <MultiArrayIndex, NNew> outer_shape, outer_stride;
    01524     if (N-1 == 0)
    01525     {
    01526         outer_shape [0] = 1;
    01527         outer_stride [0] = 0;
    01528     }
    01529     else
    01530     {
    01531         outer_shape.init (m_shape.begin () + 1, m_shape.end ());
    01532         outer_stride.init (m_stride.begin () + 1, m_stride.end ());
    01533     }
    01534     return MultiArrayView <N-1, T, StridedArrayTag>
    01535         (outer_shape, outer_stride, m_ptr + d * m_stride [0]);
    01536 }
    01537
    01538 template <unsigned int N, class T, class C>
    01539 MultiArrayView <N - 1, T, StridedArrayTag>
    01540 MultiArrayView <N, T, C>::bindAt (difference_type_1 n, difference_type_1 d) const
    01541 {
    01542     vigra_precondition (
    01543         n < static_cast <int> (N),
    01544         "MultiArrayView <N, T, C>::bindAt(): dimension out of range.");
    01545     static const int NNew = (N-1 == 0) ? 1 : N-1;
    01546     TinyVector <MultiArrayIndex, NNew> shape, stride;
    01547     // the remaining dimensions are 0..n-1,n+1..N-1
    01548     if (N-1 == 0)
    01549     {
    01550         shape [0] = 1;
    01551         stride [0] = 0;
    01552     }
    01553     else
    01554     {
    01555         std::copy (m_shape.begin (), m_shape.begin () + n, shape.begin ());
    01556         std::copy (m_shape.begin () + n+1, m_shape.end (),
    01557                    shape.begin () + n);
    01558         std::copy (m_stride.begin (), m_stride.begin () + n, stride.begin ());
    01559         std::copy (m_stride.begin () + n+1, m_stride.end (),
    01560                    stride.begin () + n);
    01561     }
    01562     return MultiArrayView <N-1, T, StridedArrayTag>
    01563         (shape, stride, m_ptr + d * m_stride[n]);
    01564 }
    01565
    01566 template <unsigned int N, class T, class C>
    01567 typename NormTraits<MultiArrayView <N, T, C> >::NormType
    01568 MultiArrayView <N, T, C>::norm(int type, bool useSquaredNorm) const
    01569 {
    01570     typedef typename NormTraits<MultiArrayView>::NormType NormType;
    01571
    01572     switch(type)
    01573     {
    01574       case 0:
    01575       {
    01576         NormType res = NumericTraits<NormType>::zero();
    01577         detail::normMaxOfMultiArray(traverser_begin(), shape(), res, MetaInt<actual_dimension-1>());
    01578         return res;
    01579       }
    01580       case 1:
    01581       {
    01582         NormType res = NumericTraits<NormType>::zero();
    01583         detail::sumOverMultiArray(traverser_begin(), shape(), detail::MultiArrayL1Functor<NormType>(),
    01584                                 res, MetaInt<actual_dimension-1>());
    01585         return res;
    01586       }
    01587       case 2:
    01588       {
    01589         if(useSquaredNorm)
    01590         {
    01591             return sqrt((NormType)squaredNorm());
    01592         }
    01593         else
    01594         {
    01595             NormType normMax = NumericTraits<NormType>::zero();
    01596             detail::normMaxOfMultiArray(traverser_begin(), shape(), normMax, MetaInt<actual_dimension-1>());
    01597             if(normMax == NumericTraits<NormType>::zero())
    01598                 return normMax;
    01599             NormType res  = NumericTraits<NormType>::zero();
    01600             detail::sumOverMultiArray(traverser_begin(), shape(), detail::MultiArrayScaledL2Functor<NormType>(normMax),
    01601                                     res, MetaInt<actual_dimension-1>());
    01602             return sqrt(res)*normMax;
    01603         }
    01604       }
    01605       default:
    01606         vigra_precondition(false, "MultiArrayView::norm(): Unknown norm type.");
    01607         return NumericTraits<NormType>::zero(); // unreachable
    01608     }
    01609 }
    01610
    01611
    01612 /********************************************************/
    01613 /*                                                      */
    01614 /*                          norm                        */
    01615 /*                                                      */
    01616 /********************************************************/
    01617
    01618 template <unsigned int N, class T, class C>
    01619 inline typename NormTraits<MultiArrayView <N, T, C> >::SquaredNormType
    01620 squaredNorm(MultiArrayView <N, T, C> const & a)
    01621 {
    01622     return a.squaredNorm();
    01623 }
    01624
    01625 template <unsigned int N, class T, class C>
    01626 inline typename NormTraits<MultiArrayView <N, T, C> >::NormType
    01627 norm(MultiArrayView <N, T, C> const & a)
    01628 {
    01629     return a.norm();
    01630 }
    01631
    01632 /********************************************************/
    01633 /*                                                      */
    01634 /*                       MultiArray                     */
    01635 /*                                                      */
    01636 /********************************************************/
    01637
    01638 /** \brief Main <TT>MultiArray</TT> class containing the memory
    01639     management.
    01640
    01641 This class inherits the interface of MultiArrayView, and implements
    01642 the memory ownership.
    01643 MultiArray's are always unstrided, striding them creates a MultiArrayView.
    01644
    01645
    01646 The template parameters are as follows
    01647 \code
    01648     N: the array dimension
    01649
    01650     T: the type of the array elements
    01651
    01652     A: the allocator used for internal storage management
    01653        (default: std::allocator<T>)
    01654 \endcode
    01655
    01656 <b>\#include</b>
    01657 <<a href="multi__array_8hxx-source.html">vigra/multi_array.hxx</a>>
    01658
    01659 Namespace: vigra
    01660 */
    01661 template <unsigned int N, class T, class A /* default already declared above */>
    01662 class MultiArray : public MultiArrayView <N, T>
    01663 {
    01664
    01665 public:
    01666     using MultiArrayView <N, T>::actual_dimension;
    01667
    01668         /** the allocator type used to allocate the memory
    01669          */
    01670     typedef A allocator_type;
    01671
    01672         /** the view type associated with this array.
    01673          */
    01674     typedef MultiArrayView <N, T> view_type;
    01675
    01676         /** the matrix type associated with this array.
    01677          */
    01678     typedef MultiArray <N, T, A> matrix_type;
    01679
    01680         /** the array's value type
    01681          */
    01682     typedef typename view_type::value_type value_type;
    01683
    01684         /** pointer type
    01685          */
    01686     typedef typename view_type::pointer pointer;
    01687
    01688         /** const pointer type
    01689          */
    01690     typedef typename view_type::const_pointer const_pointer;
    01691
    01692         /** reference type (result of operator[])
    01693          */
    01694     typedef typename view_type::reference reference;
    01695
    01696         /** const reference type (result of operator[] const)
    01697          */
    01698     typedef typename view_type::const_reference const_reference;
    01699
    01700         /** size type
    01701          */
    01702     typedef typename view_type::size_type size_type;
    01703
    01704         /** difference type (used for multi-dimensional offsets and indices)
    01705          */
    01706     typedef typename view_type::difference_type difference_type;
    01707
    01708         /** difference and index type for a single dimension
    01709          */
    01710     typedef typename view_type::difference_type_1 difference_type_1;
    01711
    01712         /** traverser type
    01713          */
    01714     typedef typename vigra::detail::MultiIteratorChooser <
    01715         UnstridedArrayTag>::template Traverser <N, T, T &, T *>::type
    01716     traverser;
    01717
    01718         /** traverser type to const data
    01719          */
    01720     typedef typename vigra::detail::MultiIteratorChooser <
    01721         UnstridedArrayTag>::template Traverser <N, T, T const &, T const *>::type
    01722     const_traverser;
    01723
    01724         /** sequential (random access) iterator type
    01725          */
    01726     typedef T * iterator;
    01727
    01728         /** sequential (random access) const iterator type
    01729          */
    01730     typedef T * const_iterator;
    01731
    01732 protected:
    01733
    01734     typedef typename difference_type::value_type diff_zero_t;
    01735
    01736         /** the allocator used to allocate the memory
    01737          */
    01738     allocator_type m_alloc;
    01739
    01740         /** allocate memory for s pixels, write its address into the given
    01741             pointer and initialize the pixels with init.
    01742         */
    01743     void allocate (pointer &ptr, difference_type_1 s, const_reference init);
    01744
    01745         /** allocate memory for s pixels, write its address into the given
    01746             pointer and initialize the linearized pixels to the values of init.
    01747         */
    01748     template <class U>
    01749     void allocate (pointer &ptr, difference_type_1 s, U const * init);
    01750
    01751         /** allocate memory, write its address into the given
    01752             pointer and initialize it by copying the data from the given MultiArrayView.
    01753         */
    01754     template <class U, class C>
    01755     void allocate (pointer &ptr, MultiArrayView<N, U, C> const & init);
    01756
    01757         /** deallocate the memory (of length s) starting at the given address.
    01758          */
    01759     void deallocate (pointer &ptr, difference_type_1 s);
    01760
    01761     template <class U, class C>
    01762     void copyOrReshape (const MultiArrayView<N, U, C> &rhs);
    01763 public:
    01764         /** default constructor
    01765          */
    01766     MultiArray ()
    01767     : MultiArrayView <N, T> (difference_type (diff_zero_t(0)),
    01768                              difference_type (diff_zero_t(0)), 0)
    01769     {}
    01770
    01771         /** construct with given allocator
    01772          */
    01773     MultiArray (allocator_type const & alloc)
    01774     : MultiArrayView <N, T> (difference_type (diff_zero_t(0)),
    01775                              difference_type (diff_zero_t(0)), 0),
    01776       m_alloc(alloc)
    01777     {}
    01778
    01779         /** construct with given shape
    01780          */
    01781     explicit MultiArray (const difference_type &shape,
    01782                          allocator_type const & alloc = allocator_type());
    01783
    01784         /** construct from shape with an initial value
    01785          */
    01786     MultiArray (const difference_type &shape, const_reference init,
    01787                 allocator_type const & alloc = allocator_type());
    01788
    01789         /** construct from shape and copy values from the given array
    01790          */
    01791     MultiArray (const difference_type &shape, const_pointer init,
    01792                          allocator_type const & alloc = allocator_type());
    01793
    01794         /** copy constructor
    01795          */
    01796     MultiArray (const MultiArray &rhs)
    01797     : MultiArrayView <N, T> (rhs.m_shape, rhs.m_stride, 0),
    01798       m_alloc (rhs.m_alloc)
    01799     {
    01800         allocate (this->m_ptr, this->elementCount (), rhs.data ());
    01801     }
    01802
    01803         /** construct by copying from a MultiArrayView
    01804          */
    01805     template <class U, class C>
    01806     MultiArray (const MultiArrayView<N, U, C>  &rhs,
    01807                 allocator_type const & alloc = allocator_type());
    01808
    01809         /** assignment.<br>
    01810             If the size of \a rhs is the same as the left-hand side arrays's old size, only
    01811             the data are copied. Otherwise, new storage is allocated, which invalidates all
    01812             objects (array views, iterators) depending on the lhs array.
    01813          */
    01814     MultiArray & operator= (const MultiArray &rhs)
    01815     {
    01816         if (this != &rhs)
    01817             this->copyOrReshape(rhs);
    01818         return *this;
    01819     }
    01820
    01821         /** assignment from arbitrary MultiArrayView.<br>
    01822             If the size of \a rhs is the same as the left-hand side arrays's old size, only
    01823             the data are copied. Otherwise, new storage is allocated, which invalidates all
    01824             objects (array views, iterators) depending on the lhs array.
    01825          */
    01826     template <class U, class C>
    01827     MultiArray &operator= (const MultiArrayView<N, U, C> &rhs)
    01828     {
    01829         this->copyOrReshape(rhs);
    01830         return *this;
    01831     }
    01832
    01833         /** Add-assignment from arbitrary MultiArrayView. Fails with
    01834             <tt>PreconditionViolation</tt> exception when the shapes do not match.
    01835          */
    01836     template <class U, class C>
    01837     MultiArray &operator+= (const MultiArrayView<N, U, C> &rhs)
    01838     {
    01839         view_type::operator+=(rhs);
    01840         return *this;
    01841     }
    01842
    01843         /** Subtract-assignment from arbitrary MultiArrayView. Fails with
    01844             <tt>PreconditionViolation</tt> exception when the shapes do not match.
    01845          */
    01846     template <class U, class C>
    01847     MultiArray &operator-= (const MultiArrayView<N, U, C> &rhs)
    01848     {
    01849         view_type::operator-=(rhs);
    01850         return *this;
    01851     }
    01852
    01853         /** Multiply-assignment from arbitrary MultiArrayView. Fails with
    01854             <tt>PreconditionViolation</tt> exception when the shapes do not match.
    01855          */
    01856     template <class U, class C>
    01857     MultiArray &operator*= (const MultiArrayView<N, U, C> &rhs)
    01858     {
    01859         view_type::operator*=(rhs);
    01860         return *this;
    01861     }
    01862
    01863         /** Divide-assignment from arbitrary MultiArrayView. Fails with
    01864             <tt>PreconditionViolation</tt> exception when the shapes do not match.
    01865          */
    01866     template <class U, class C>
    01867     MultiArray &operator/= (const MultiArrayView<N, U, C> &rhs)
    01868     {
    01869         view_type::operator/=(rhs);
    01870         return *this;
    01871     }
    01872
    01873         /** Add-assignment of a scalar.
    01874          */
    01875     MultiArray &operator+= (const T &rhs)
    01876     {
    01877         view_type::operator+=(rhs);
    01878         return *this;
    01879     }
    01880
    01881         /** Subtract-assignment of a scalar.
    01882          */
    01883     MultiArray &operator-= (const T &rhs)
    01884     {
    01885         view_type::operator-=(rhs);
    01886         return *this;
    01887     }
    01888
    01889         /** Multiply-assignment of a scalar.
    01890          */
    01891     MultiArray &operator*= (const T &rhs)
    01892     {
    01893         view_type::operator*=(rhs);
    01894         return *this;
    01895     }
    01896
    01897         /** Divide-assignment of a scalar.
    01898          */
    01899     MultiArray &operator/= (const T &rhs)
    01900     {
    01901         view_type::operator/=(rhs);
    01902         return *this;
    01903     }
    01904
    01905         /** destructor
    01906          */
    01907     ~MultiArray ()
    01908     {
    01909         deallocate (this->m_ptr, this->elementCount ());
    01910     }
    01911
    01912
    01913         /** init elements with a constant
    01914          */
    01915     template <class U>
    01916     MultiArray & init(const U & init)
    01917     {
    01918         view_type::init(init);
    01919         return *this;
    01920     }
    01921
    01922         /** change the shape and allocate new memory.<br>
    01923             <em>Note:</em> this operation invalidates all dependent objects
    01924             (array views and iterators)
    01925          */
    01926     void reshape (const difference_type &shape)
    01927     {
    01928         reshape (shape, NumericTraits <T>::zero ());
    01929     }
    01930
    01931         /** change the shape, allocate new memory and initialize it
    01932             with the given value.<br>
    01933             <em>Note:</em> this operation invalidates all dependent objects
    01934             (array views and iterators)
    01935          */
    01936     void reshape (const difference_type &shape, const_reference init);
    01937
    01938         /** Swap the contents with another MultiArray. This is fast,
    01939             because no data are copied, but only pointers and shapes swapped.
    01940             <em>Note:</em> this operation invalidates all dependent objects
    01941             (array views and iterators)
    01942          */
    01943     void swap (MultiArray & other);
    01944
    01945         /** sequential iterator pointing to the first array element.
    01946          */
    01947     iterator begin ()
    01948     {
    01949         return this->data();
    01950     }
    01951
    01952         /** sequential iterator pointing beyond the last array element.
    01953          */
    01954     iterator end ()
    01955     {
    01956         return this->data() + this->elementCount();
    01957     }
    01958
    01959         /** sequential const iterator pointing to the first array element.
    01960          */
    01961     const_iterator begin () const
    01962     {
    01963         return this->data();
    01964     }
    01965
    01966         /** sequential const iterator pointing beyond the last array element.
    01967          */
    01968     const_iterator end () const
    01969     {
    01970         return this->data() + this->elementCount();
    01971     }
    01972
    01973         /** get the allocator.
    01974          */
    01975     allocator_type const & allocator () const
    01976     {
    01977         return m_alloc;
    01978     }
    01979 };
    01980
    01981 template <unsigned int N, class T, class A>
    01982 MultiArray <N, T, A>::MultiArray (const difference_type &shape,
    01983                                   allocator_type const & alloc)
    01984 : MultiArrayView <N, T> (shape,
    01985                          detail::defaultStride <MultiArrayView<N,T>::actual_dimension> (shape),
    01986                          0),
    01987   m_alloc(alloc)
    01988 {
    01989     if (N == 0)
    01990     {
    01991         this->m_shape [0] = 1;
    01992         this->m_stride [0] = 0;
    01993     }
    01994     allocate (this->m_ptr, this->elementCount (), NumericTraits<T>::zero ());
    01995 }
    01996
    01997 template <unsigned int N, class T, class A>
    01998 MultiArray <N, T, A>::MultiArray (const difference_type &shape, const_reference init,
    01999                                   allocator_type const & alloc)
    02000 : MultiArrayView <N, T> (shape,
    02001                          detail::defaultStride <MultiArrayView<N,T>::actual_dimension> (shape),
    02002                          0),
    02003   m_alloc(alloc)
    02004 {
    02005     if (N == 0)
    02006     {
    02007         this->m_shape [0] = 1;
    02008         this->m_stride [0] = 0;
    02009     }
    02010     allocate (this->m_ptr, this->elementCount (), init);
    02011 }
    02012
    02013 template <unsigned int N, class T, class A>
    02014 MultiArray <N, T, A>::MultiArray (const difference_type &shape, const_pointer init,
    02015                                   allocator_type const & alloc)
    02016 : MultiArrayView <N, T> (shape,
    02017                          detail::defaultStride <MultiArrayView<N,T>::actual_dimension> (shape),
    02018                          0),
    02019   m_alloc(alloc)
    02020 {
    02021     if (N == 0)
    02022     {
    02023         this->m_shape [0] = 1;
    02024         this->m_stride [0] = 0;
    02025     }
    02026     allocate (this->m_ptr, this->elementCount (), init);
    02027 }
    02028
    02029 template <unsigned int N, class T, class A>
    02030 template <class U, class C>
    02031 MultiArray <N, T, A>::MultiArray(const MultiArrayView<N, U, C>  &rhs,
    02032                                  allocator_type const & alloc)
    02033 : MultiArrayView <N, T> (rhs.shape(),
    02034                          detail::defaultStride <MultiArrayView<N,T>::actual_dimension>(rhs.shape()),
    02035                          0),
    02036   m_alloc (alloc)
    02037 {
    02038     allocate (this->m_ptr, rhs);
    02039 }
    02040
    02041 template <unsigned int N, class T, class A>
    02042 template <class U, class C>
    02043 void
    02044 MultiArray <N, T, A>::copyOrReshape(const MultiArrayView<N, U, C> &rhs)
    02045 {
    02046     if (this->shape() == rhs.shape())
    02047         this->copy(rhs);
    02048     else
    02049     {
    02050         MultiArray t(rhs);
    02051         this->swap(t);
    02052     }
    02053 }
    02054
    02055 template <unsigned int N, class T, class A>
    02056 void MultiArray <N, T, A>::reshape (const difference_type & new_shape,
    02057                                     const_reference initial)
    02058 {
    02059     if (N== 0)
    02060     {
    02061         return;
    02062     }
    02063     else if(new_shape == this->shape())
    02064     {
    02065         this->init(initial);
    02066     }
    02067     else
    02068     {
    02069         difference_type new_stride = detail::defaultStride <MultiArrayView<N,T>::actual_dimension> (new_shape);
    02070         difference_type_1 new_size = new_shape [MultiArrayView<N,T>::actual_dimension-1] * new_stride [MultiArrayView<N,T>::actual_dimension-1];
    02071         T *new_ptr;
    02072         allocate (new_ptr, new_size, initial);
    02073         deallocate (this->m_ptr, this->elementCount ());
    02074         this->m_ptr = new_ptr;
    02075         this->m_shape = new_shape;
    02076         this->m_stride = new_stride;
    02077     }
    02078 }
    02079
    02080
    02081 template <unsigned int N, class T, class A>
    02082 inline void
    02083 MultiArray <N, T, A>::swap (MultiArray <N, T, A> & other)
    02084 {
    02085     if (this == &other)
    02086         return;
    02087     std::swap(this->m_shape,  other.m_shape);
    02088     std::swap(this->m_stride, other.m_stride);
    02089     std::swap(this->m_ptr,    other.m_ptr);
    02090     std::swap(this->m_alloc,  other.m_alloc);
    02091 }
    02092
    02093 template <unsigned int N, class T, class A>
    02094 void MultiArray <N, T, A>::allocate (pointer & ptr, difference_type_1 s,
    02095                                      const_reference init)
    02096 {
    02097     ptr = m_alloc.allocate ((typename A::size_type)s);
    02098     difference_type_1 i;
    02099     try {
    02100         for (i = 0; i < s; ++i)
    02101             m_alloc.construct (ptr + i, init);
    02102     }
    02103     catch (...) {
    02104         for (difference_type_1 j = 0; j < i; ++j)
    02105             m_alloc.destroy (ptr + j);
    02106         m_alloc.deallocate (ptr, (typename A::size_type)s);
    02107         throw;
    02108     }
    02109 }
    02110
    02111 template <unsigned int N, class T, class A>
    02112 template <class U>
    02113 void MultiArray <N, T, A>::allocate (pointer & ptr, difference_type_1 s,
    02114                                      U const * init)
    02115 {
    02116     ptr = m_alloc.allocate ((typename A::size_type)s);
    02117     difference_type_1 i;
    02118     try {
    02119         for (i = 0; i < s; ++i, ++init)
    02120             m_alloc.construct (ptr + i, *init);
    02121     }
    02122     catch (...) {
    02123         for (difference_type_1 j = 0; j < i; ++j)
    02124             m_alloc.destroy (ptr + j);
    02125         m_alloc.deallocate (ptr, (typename A::size_type)s);
    02126         throw;
    02127     }
    02128 }
    02129
    02130 template <unsigned int N, class T, class A>
    02131 template <class U, class C>
    02132 void MultiArray <N, T, A>::allocate (pointer & ptr, MultiArrayView<N, U, C> const & init)
    02133 {
    02134     difference_type_1 s = init.elementCount();
    02135     ptr = m_alloc.allocate ((typename A::size_type)s);
    02136     pointer p = ptr;
    02137     try {
    02138         detail::uninitializedCopyMultiArrayData(init.traverser_begin(), init.shape(),
    02139                                                 p, m_alloc, MetaInt<actual_dimension-1>());
    02140     }
    02141     catch (...) {
    02142         for (pointer pp = ptr; pp < p; ++pp)
    02143             m_alloc.destroy (pp);
    02144         m_alloc.deallocate (ptr, (typename A::size_type)s);
    02145         throw;
    02146     }
    02147 }
    02148
    02149 template <unsigned int N, class T, class A>
    02150 inline void MultiArray <N, T, A>::deallocate (pointer & ptr, difference_type_1 s)
    02151 {
    02152     if (ptr == 0)
    02153         return;
    02154     for (difference_type_1 i = 0; i < s; ++i)
    02155         m_alloc.destroy (ptr + i);
    02156     m_alloc.deallocate (ptr, (typename A::size_type)s);
    02157     ptr = 0;
    02158 }
    02159
    02160 /********************************************************/
    02161 /*                                                      */
    02162 /*              argument object factories               */
    02163 /*                                                      */
    02164 /********************************************************/
    02165
    02166 template <unsigned int N, class T, class C>
    02167 inline triple<typename MultiArrayView<N,T,C>::const_traverser,
    02168               typename MultiArrayView<N,T,C>::difference_type,
    02169               typename AccessorTraits<T>::default_const_accessor >
    02170 srcMultiArrayRange( MultiArrayView<N,T,C> const & array )
    02171 {
    02172     return triple<typename MultiArrayView<N,T,C>::const_traverser,
    02173                   typename MultiArrayView<N,T,C>::difference_type,
    02174                   typename AccessorTraits<T>::default_const_accessor >
    02175       ( array.traverser_begin(),
    02176         array.shape(),
    02177         typename AccessorTraits<T>::default_const_accessor() );
    02178 }
    02179
    02180 template <unsigned int N, class T, class C, class Accessor>
    02181 inline triple<typename MultiArrayView<N,T,C>::const_traverser,
    02182               typename MultiArrayView<N,T,C>::difference_type,
    02183               Accessor >
    02184 srcMultiArrayRange( MultiArrayView<N,T,C> const & array, Accessor a )
    02185 {
    02186     return triple<typename MultiArrayView<N,T,C>::const_traverser,
    02187                   typename MultiArrayView<N,T,C>::difference_type,
    02188                   Accessor >
    02189       ( array.traverser_begin(),
    02190         array.shape(),
    02191         a);
    02192 }
    02193
    02194 template <unsigned int N, class T, class C>
    02195 inline pair<typename MultiArrayView<N,T,C>::const_traverser,
    02196             typename AccessorTraits<T>::default_const_accessor >
    02197 srcMultiArray( MultiArrayView<N,T,C> const & array )
    02198 {
    02199     return pair<typename MultiArrayView<N,T,C>::const_traverser,
    02200                 typename AccessorTraits<T>::default_const_accessor >
    02201       ( array.traverser_begin(),
    02202         typename AccessorTraits<T>::default_const_accessor() );
    02203 }
    02204
    02205 template <unsigned int N, class T, class C, class Accessor>
    02206 inline pair<typename MultiArrayView<N,T,C>::const_traverser,
    02207             Accessor >
    02208 srcMultiArray( MultiArrayView<N,T,C> const & array, Accessor a )
    02209 {
    02210     return pair<typename MultiArrayView<N,T,C>::const_traverser,
    02211                 Accessor >
    02212       ( array.traverser_begin(), a );
    02213 }
    02214
    02215 template <unsigned int N, class T, class C>
    02216 inline triple<typename MultiArrayView<N,T,C>::traverser,
    02217               typename MultiArrayView<N,T,C>::difference_type,
    02218               typename AccessorTraits<T>::default_accessor >
    02219 destMultiArrayRange( MultiArrayView<N,T,C> & array )
    02220 {
    02221     return triple<typename MultiArrayView<N,T,C>::traverser,
    02222                   typename MultiArrayView<N,T,C>::difference_type,
    02223                   typename AccessorTraits<T>::default_accessor >
    02224       ( array.traverser_begin(),
    02225         array.shape(),
    02226         typename AccessorTraits<T>::default_accessor() );
    02227 }
    02228
    02229 template <unsigned int N, class T, class C, class Accessor>
    02230 inline triple<typename MultiArrayView<N,T,C>::traverser,
    02231               typename MultiArrayView<N,T,C>::difference_type,
    02232               Accessor >
    02233 destMultiArrayRange( MultiArrayView<N,T,C> & array, Accessor a )
    02234 {
    02235     return triple<typename MultiArrayView<N,T,C>::traverser,
    02236                   typename MultiArrayView<N,T,C>::difference_type,
    02237                   Accessor >
    02238       ( array.traverser_begin(),
    02239         array.shape(),
    02240         a );
    02241 }
    02242
    02243 template <unsigned int N, class T, class C>
    02244 inline pair<typename MultiArrayView<N,T,C>::traverser,
    02245             typename AccessorTraits<T>::default_accessor >
    02246 destMultiArray( MultiArrayView<N,T,C> & array )
    02247 {
    02248     return pair<typename MultiArrayView<N,T,C>::traverser,
    02249                 typename AccessorTraits<T>::default_accessor >
    02250         ( array.traverser_begin(),
    02251           typename AccessorTraits<T>::default_accessor() );
    02252 }
    02253
    02254 template <unsigned int N, class T, class C, class Accessor>
    02255 inline pair<typename MultiArrayView<N,T,C>::traverser,
    02256             Accessor >
    02257 destMultiArray( MultiArrayView<N,T,C> & array, Accessor a )
    02258 {
    02259     return pair<typename MultiArrayView<N,T,C>::traverser,
    02260                 Accessor >
    02261         ( array.traverser_begin(), a );
    02262 }
    02263
    02264 /********************************************************/
    02265 /*                                                      */
    02266 /*                  makeBasicImageView                  */
    02267 /*                                                      */
    02268 /********************************************************/
    02269
    02270 /** \addtogroup MultiArrayToImage Wrap a \ref vigra::MultiArrayView in
    02271                                   a \ref vigra::BasicImageView
    02272 */
    02273 //@{
    02274 /** Create a \ref vigra::BasicImageView from an unstrided 2-dimensional
    02275     \ref vigra::MultiArrayView.
    02276
    02277     The \ref vigra::BasicImageView will have the same <tt>value_type </tt>
    02278     as the original \ref vigra::MultiArrayView.
    02279 */
    02280 template <class T>
    02281 BasicImageView <T>
    02282 makeBasicImageView (MultiArrayView <2, T, UnstridedArrayTag> const &array)
    02283 {
    02284     return BasicImageView <T> (array.data (), array.shape (0),
    02285                                array.shape (1));
    02286 }
    02287
    02288 /** Create a \ref vigra::BasicImageView from a 3-dimensional
    02289     \ref vigra::MultiArray.
    02290
    02291     This wrapper flattens the two innermost dimensions of the array
    02292     into single rows of the resulting image.
    02293     The \ref vigra::BasicImageView will have the same <tt>value_type </tt>
    02294     as the original \ref vigra::MultiArray.
    02295 */
    02296 template <class T>
    02297 BasicImageView <T>
    02298 makeBasicImageView (MultiArray <3, T> const &array)
    02299 {
    02300     return BasicImageView <T> (array.data (),
    02301                                array.shape (0)*array.shape (1), array.shape (2));
    02302 }
    02303
    02304 /** Create a \ref vigra::BasicImageView from a 3-dimensional
    02305     \ref vigra::MultiArray.
    02306
    02307     This wrapper only works if <tt>T</tt> is a scalar type and the
    02308     array's innermost dimension has size 3. It then re-interprets
    02309     the data array as a 2-dimensional array with value_type
    02310     <tt>RGBValue<T></tt>.
    02311 */
    02312 template <class T>
    02313 BasicImageView <RGBValue<T> >
    02314 makeRGBImageView (MultiArray<3, T> const &array)
    02315 {
    02316     vigra_precondition (
    02317         array.shape (0) == 3, "makeRGBImageView(): array.shape(0) must be 3.");
    02318     return BasicImageView <RGBValue<T> > (
    02319         reinterpret_cast <RGBValue <T> *> (array.data ()),
    02320         array.shape (1), array.shape (2));
    02321 }
    02322
    02323 //@}
    02324
    02325 } // namespace vigra
    02326
    02327 #endif // VIGRA_MULTI_ARRAY_HXX

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany | html generated using doxygen and Python VIGRA 1.6.0 (13 Aug 2008)