[772] | 1 | // template array class for numerical types
|
---|
| 2 | // R. Ansari, C.Magneville 03/2000
|
---|
| 3 |
|
---|
| 4 | #include "machdefs.h"
|
---|
| 5 | #include <stdio.h>
|
---|
| 6 | #include <stdlib.h>
|
---|
[922] | 7 | #include <math.h>
|
---|
[772] | 8 | #include "pexceptions.h"
|
---|
| 9 | #include "tarray.h"
|
---|
| 10 |
|
---|
[926] | 11 | /*!
|
---|
| 12 | \class SOPHYA::TArray
|
---|
| 13 | \ingroup TArray
|
---|
[2267] | 14 | Class for template arrays with numerical data types (int, float, complex).
|
---|
[772] | 15 |
|
---|
[2267] | 16 | This class implements arrays with number of dimensions up to
|
---|
[926] | 17 | \ref BASEARRAY_MAXNDIMS "BASEARRAY_MAXNDIMS"
|
---|
[2267] | 18 |
|
---|
| 19 | Standard arithmetic operations on numerical arrays are implemented,
|
---|
| 20 | as well as sub-array manipulation services.
|
---|
| 21 | \b Array is a typedef for double precision floating point arrays ( TArray<r_8> )
|
---|
| 22 | \sa SOPHYA::Range
|
---|
| 23 | \sa SOPHYA::Sequence
|
---|
| 24 | \sa SOPHYA::MathArray
|
---|
| 25 |
|
---|
| 26 | \code
|
---|
| 27 | #include "array.h"
|
---|
| 28 | // ...
|
---|
| 29 | // Creating and initialising a 1-D array of integers
|
---|
| 30 | TArray<int> ia(5);
|
---|
| 31 | EnumeratedSequence es;
|
---|
| 32 | es = 24, 35, 46, 57, 68;
|
---|
| 33 | ia = es;
|
---|
| 34 | cout << "Array<int> ia = " << ia;
|
---|
| 35 | // 2-D array of floats
|
---|
| 36 | TArray<r_4> b(6,4), c(6,4);
|
---|
| 37 | // Initializing b with a constant
|
---|
| 38 | b = 2.71828;
|
---|
| 39 | // Filling c with random numbers
|
---|
| 40 | c = RandomSequence();
|
---|
| 41 | // Arithmetic operations
|
---|
| 42 | TArray<r_4> d = b+0.3f*c;
|
---|
| 43 | cout << "Array<float> d = " << d;
|
---|
| 44 | \endcode
|
---|
| 45 |
|
---|
[926] | 46 | */
|
---|
[772] | 47 |
|
---|
[1389] | 48 | /*! \ingroup TArray
|
---|
| 49 | \typedef sa_size_t
|
---|
| 50 | \brief Array index range and size, defined to be a 4-byte or 8-byte integer
|
---|
| 51 | */
|
---|
| 52 |
|
---|
[772] | 53 | // -------------------------------------------------------
|
---|
| 54 | // Methodes de la classe
|
---|
| 55 | // -------------------------------------------------------
|
---|
| 56 |
|
---|
[894] | 57 | ////////////////////////// Les constructeurs / destructeurs
|
---|
| 58 |
|
---|
| 59 | //! Default constructor
|
---|
[772] | 60 | template <class T>
|
---|
| 61 | TArray<T>::TArray()
|
---|
[804] | 62 | : BaseArray() , mNDBlock()
|
---|
[772] | 63 | {
|
---|
| 64 | }
|
---|
| 65 |
|
---|
[894] | 66 | //! Constructor
|
---|
| 67 | /*!
|
---|
| 68 | \param ndim : number of dimensions (less or equal to
|
---|
| 69 | \ref BASEARRAY_MAXNDIMS "BASEARRAY_MAXNDIMS")
|
---|
| 70 | \param siz[ndim] : size along each dimension
|
---|
| 71 | \param step : step (same for all dimensions)
|
---|
[2564] | 72 | \param fzero : if \b true , set array elements to zero
|
---|
[894] | 73 | */
|
---|
[772] | 74 | template <class T>
|
---|
[2564] | 75 | TArray<T>::TArray(int_4 ndim, const sa_size_t * siz, sa_size_t step, bool fzero)
|
---|
| 76 | : BaseArray() , mNDBlock(ComputeTotalSize(ndim, siz, step, 1), fzero)
|
---|
[772] | 77 | {
|
---|
[1156] | 78 | string exmsg = "TArray<T>::TArray(int_4, sa_size_t *, sa_size_t)";
|
---|
[772] | 79 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
|
---|
| 80 | }
|
---|
| 81 |
|
---|
[894] | 82 | //! Constructor
|
---|
| 83 | /*!
|
---|
| 84 | \param nx,ny,nz,nt,nu : sizes along first, second, third, fourth and fifth dimension
|
---|
[2564] | 85 | \param fzero : if \b true , set array elements to zero
|
---|
[894] | 86 | */
|
---|
[772] | 87 | template <class T>
|
---|
[2564] | 88 | TArray<T>::TArray(sa_size_t nx, sa_size_t ny, sa_size_t nz, sa_size_t nt, sa_size_t nu, bool fzero)
|
---|
[804] | 89 | : BaseArray() , mNDBlock(nx*((ny>0)?ny:1)*((nz>0)?nz:1)*((nt>0)?nt:1)*((nu>0)?nu:1))
|
---|
[772] | 90 | {
|
---|
[1156] | 91 | sa_size_t size[BASEARRAY_MAXNDIMS];
|
---|
[772] | 92 | size[0] = nx; size[1] = ny; size[2] = nz;
|
---|
[804] | 93 | size[3] = nt; size[4] = nu;
|
---|
[1156] | 94 | int_4 ndim = 1;
|
---|
[804] | 95 | if ((size[1] > 0) && (size[2] > 0) && (size[3] > 0) && (size[4] > 0) ) ndim = 5;
|
---|
| 96 | else if ((size[1] > 0) && (size[2] > 0) && (size[3] > 0) ) ndim = 4;
|
---|
| 97 | else if ((size[1] > 0) && (size[2] > 0)) ndim = 3;
|
---|
[772] | 98 | else if (size[1] > 0) ndim = 2;
|
---|
| 99 | else ndim = 1;
|
---|
[1156] | 100 | string exmsg = "TArray<T>::TArray(sa_size_t, sa_size_t, sa_size_t, sa_size_t, sa_size_t)";
|
---|
[772] | 101 | if (!UpdateSizes(ndim, size, 1, 0, exmsg)) throw( ParmError(exmsg) );
|
---|
| 102 | }
|
---|
| 103 |
|
---|
[894] | 104 | //! Constructor
|
---|
| 105 | /*!
|
---|
| 106 | \param ndim : number of dimensions
|
---|
| 107 | \param siz[ndim] : size along each dimension
|
---|
| 108 | \param db : datas are given by this NDataBlock
|
---|
| 109 | \param share : if true, data are shared, if false they are copied
|
---|
| 110 | \param step : step (same for all dimensions) in data block
|
---|
| 111 | \param offset : offset for first element in data block
|
---|
| 112 | */
|
---|
[772] | 113 | template <class T>
|
---|
[1156] | 114 | TArray<T>::TArray(int_4 ndim, const sa_size_t * siz, NDataBlock<T> & db, bool share, sa_size_t step, sa_size_t offset)
|
---|
[804] | 115 | : BaseArray() , mNDBlock(db, share)
|
---|
[772] | 116 | {
|
---|
[1156] | 117 | string exmsg = "TArray<T>::TArray(int_4, sa_size_t *, NDataBlock<T> & ... )";
|
---|
[772] | 118 | if (!UpdateSizes(ndim, siz, step, offset, exmsg)) throw( ParmError(exmsg) );
|
---|
[1636] | 119 | if (mNDBlock.Size() < ComputeTotalSize(ndim, siz, step, offset)) {
|
---|
| 120 | exmsg += " DataBlock.Size() < ComputeTotalSize(...) " ;
|
---|
| 121 | throw( ParmError(exmsg) );
|
---|
| 122 | }
|
---|
[772] | 123 | }
|
---|
| 124 |
|
---|
[894] | 125 | //! Constructor
|
---|
| 126 | /*!
|
---|
| 127 | \param ndim : number of dimensions
|
---|
| 128 | \param siz[ndim] : size along each dimension
|
---|
| 129 | \param values : datas are given by this pointer
|
---|
| 130 | \param share : if true, data are shared, if false they are copied
|
---|
| 131 | \param step : step (same for all dimensions) in data block
|
---|
| 132 | \param offset : offset for first element in data block
|
---|
| 133 | \param br : if not NULL, dats are bridge with other datas
|
---|
| 134 | \sa NDataBlock
|
---|
| 135 | */
|
---|
[772] | 136 | template <class T>
|
---|
[1156] | 137 | TArray<T>::TArray(int_4 ndim, const sa_size_t * siz, T* values, sa_size_t step, sa_size_t offset, Bridge* br)
|
---|
[804] | 138 | : BaseArray() , mNDBlock(ComputeTotalSize(ndim, siz, step, 1), values, br)
|
---|
[772] | 139 | {
|
---|
[1156] | 140 | string exmsg = "TArray<T>::TArray(int_4, sa_size_t *, T* ... )";
|
---|
[772] | 141 | if (!UpdateSizes(ndim, siz, step, offset, exmsg)) throw( ParmError(exmsg) );
|
---|
| 142 | }
|
---|
| 143 |
|
---|
[894] | 144 | //! Constructor by copy
|
---|
[976] | 145 | /*!
|
---|
| 146 | \warning datas are \b SHARED with \b a.
|
---|
| 147 | \sa NDataBlock::NDataBlock(const NDataBlock<T>&)
|
---|
| 148 | */
|
---|
[772] | 149 | template <class T>
|
---|
| 150 | TArray<T>::TArray(const TArray<T>& a)
|
---|
[804] | 151 | : BaseArray() , mNDBlock(a.mNDBlock)
|
---|
[772] | 152 | {
|
---|
| 153 | string exmsg = "TArray<T>::TArray(const TArray<T>&)";
|
---|
| 154 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
|
---|
| 155 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
|
---|
| 156 | }
|
---|
| 157 |
|
---|
[894] | 158 | //! Constructor by copy
|
---|
| 159 | /*!
|
---|
| 160 | \param share : if true, data are shared, if false they are copied
|
---|
| 161 | */
|
---|
[772] | 162 | template <class T>
|
---|
| 163 | TArray<T>::TArray(const TArray<T>& a, bool share)
|
---|
[804] | 164 | : BaseArray() , mNDBlock(a.mNDBlock, share)
|
---|
[772] | 165 | {
|
---|
[1517] | 166 | if (a.NbDimensions() == 0) return;
|
---|
[772] | 167 | string exmsg = "TArray<T>::TArray(const TArray<T>&, bool)";
|
---|
| 168 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
|
---|
| 169 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
|
---|
| 170 | }
|
---|
| 171 |
|
---|
[1081] | 172 | //! Constructor with size and contents copied (after conversion) from a different type TArray
|
---|
| 173 | template <class T>
|
---|
| 174 | TArray<T>::TArray(const BaseArray& a)
|
---|
| 175 | : BaseArray() , mNDBlock()
|
---|
| 176 | {
|
---|
[1517] | 177 | if (a.NbDimensions() == 0) return;
|
---|
[1081] | 178 | string exmsg = "TArray<T>::TArray(const BaseArray&)";
|
---|
| 179 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
|
---|
| 180 | mNDBlock.ReSize(totsize_);
|
---|
| 181 | // if (a.mInfo) mInfo = new DVList(*(a.mInfo)); - pb protected !
|
---|
| 182 | ConvertAndCopyElt(a);
|
---|
| 183 | }
|
---|
| 184 |
|
---|
[894] | 185 | //! Destructor
|
---|
[772] | 186 | template <class T>
|
---|
| 187 | TArray<T>::~TArray()
|
---|
| 188 | {
|
---|
| 189 | }
|
---|
| 190 |
|
---|
[894] | 191 | ////////////////////////// Les methodes de copie/share
|
---|
| 192 |
|
---|
| 193 | //! Set array equal to \b a and return *this
|
---|
[976] | 194 | /*!
|
---|
[1364] | 195 | If the array is already allocated, CopyElt() is called
|
---|
| 196 | for checking that the two arrays have the same size and
|
---|
| 197 | for copying the array element values. For non allocated
|
---|
| 198 | arrays, CloneOrShare() is called. The array memory
|
---|
| 199 | organization is also copied from \b a.
|
---|
[976] | 200 | \warning Datas are copied (cloned) from \b a.
|
---|
[1364] | 201 | \sa CopyElt
|
---|
| 202 | \sa CloneOrShare
|
---|
[976] | 203 | \sa NDataBlock::operator=(const NDataBlock<T>&)
|
---|
| 204 | */
|
---|
[772] | 205 | template <class T>
|
---|
[804] | 206 | TArray<T>& TArray<T>::Set(const TArray<T>& a)
|
---|
[772] | 207 | {
|
---|
[970] | 208 | if (this == &a) return(*this);
|
---|
| 209 | if (a.NbDimensions() < 1)
|
---|
| 210 | throw RangeCheckError("TArray<T>::Set(a ) - Array a not allocated ! ");
|
---|
| 211 | if (NbDimensions() < 1) CloneOrShare(a);
|
---|
| 212 | else CopyElt(a);
|
---|
[772] | 213 | return(*this);
|
---|
| 214 | }
|
---|
| 215 |
|
---|
[1081] | 216 | //! Set array elements equal to the \b a array elements, after conversion
|
---|
| 217 | template <class T>
|
---|
| 218 | TArray<T>& TArray<T>::SetBA(const BaseArray& a)
|
---|
| 219 | {
|
---|
| 220 | if (this == &a) return(*this);
|
---|
| 221 | if (a.NbDimensions() < 1)
|
---|
| 222 | throw RangeCheckError("TArray<T>::SetBA(a ) - Array a not allocated ! ");
|
---|
| 223 | if (NbDimensions() < 1) {
|
---|
| 224 | string exmsg = "TArray<T>::SetBA(const BaseArray& a)";
|
---|
| 225 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
|
---|
| 226 | mNDBlock.ReSize(totsize_);
|
---|
| 227 | }
|
---|
| 228 | ConvertAndCopyElt(a);
|
---|
| 229 | return(*this);
|
---|
| 230 | }
|
---|
| 231 |
|
---|
[894] | 232 | //! Clone array \b a
|
---|
[772] | 233 | template <class T>
|
---|
| 234 | void TArray<T>::Clone(const TArray<T>& a)
|
---|
| 235 | {
|
---|
| 236 | string exmsg = "TArray<T>::Clone()";
|
---|
| 237 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
|
---|
| 238 | mNDBlock.Clone(a.mNDBlock);
|
---|
[894] | 239 | if (mInfo) {delete mInfo; mInfo = NULL;}
|
---|
[772] | 240 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
|
---|
| 241 | }
|
---|
| 242 |
|
---|
[970] | 243 | //! Clone if \b a is not temporary, share if temporary
|
---|
[976] | 244 | /*! \sa NDataBlock::CloneOrShare(const NDataBlock<T>&) */
|
---|
[970] | 245 | template <class T>
|
---|
| 246 | void TArray<T>::CloneOrShare(const TArray<T>& a)
|
---|
| 247 | {
|
---|
| 248 | string exmsg = "TArray<T>::CloneOrShare()";
|
---|
[1103] | 249 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
|
---|
[970] | 250 | mNDBlock.CloneOrShare(a.mNDBlock);
|
---|
[1103] | 251 | if (mInfo) {delete mInfo; mInfo = NULL;}
|
---|
| 252 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
|
---|
[970] | 253 | }
|
---|
| 254 |
|
---|
| 255 | //! Share data with a
|
---|
| 256 | template <class T>
|
---|
| 257 | void TArray<T>::Share(const TArray<T>& a)
|
---|
| 258 | {
|
---|
| 259 | string exmsg = "TArray<T>::Share()";
|
---|
[1103] | 260 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
|
---|
[970] | 261 | mNDBlock.Share(a.mNDBlock);
|
---|
[1103] | 262 | if (mInfo) {delete mInfo; mInfo = NULL;}
|
---|
| 263 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
|
---|
[970] | 264 | }
|
---|
| 265 |
|
---|
| 266 |
|
---|
[1393] | 267 | //! Sets or changes the array size
|
---|
[894] | 268 | /*!
|
---|
| 269 | \param ndim : number of dimensions
|
---|
| 270 | \param siz[ndim] : size along each dimension
|
---|
| 271 | \param step : step (same for all dimensions)
|
---|
[2564] | 272 | \param fzero : if \b true , set array elements to zero
|
---|
[894] | 273 | */
|
---|
[772] | 274 | template <class T>
|
---|
[2564] | 275 | void TArray<T>::ReSize(int_4 ndim, sa_size_t * siz, sa_size_t step, bool fzero)
|
---|
[772] | 276 | {
|
---|
[1099] | 277 | if (arrtype_ != 0) {
|
---|
| 278 | if (ndim != 2)
|
---|
| 279 | throw( ParmError("TArray<T>::ReSize(ndim!=2,...) for Matrix" ) );
|
---|
| 280 | if ((arrtype_ == 2) && (siz[0] > 1) && (siz[1] > 1))
|
---|
| 281 | throw( ParmError("TArray<T>::ReSize(,siz[0]>1 && size[1]>1) for Vector" ) );
|
---|
| 282 | }
|
---|
[1393] | 283 | string exmsg = "TArray<T>::ReSize(int_4 ...)";
|
---|
[772] | 284 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
|
---|
[2564] | 285 | mNDBlock.ReSize(totsize_, fzero);
|
---|
[772] | 286 | }
|
---|
| 287 |
|
---|
[1393] | 288 | //! Sets or changes the array size.
|
---|
| 289 | /*!
|
---|
| 290 | The array size and memory layout are copied from the array \b a.
|
---|
| 291 | \param a : Array used as template for setting the size and memory layout.
|
---|
[2564] | 292 | \param pack : if \b true , create a packed array, else same memory layout as \b a.
|
---|
| 293 | \param fzero : if \b true , set array elements to zero
|
---|
[1393] | 294 | */
|
---|
| 295 | template <class T>
|
---|
[2564] | 296 | void TArray<T>::ReSize(const BaseArray& a, bool pack, bool fzero)
|
---|
[1393] | 297 | {
|
---|
| 298 | if (arrtype_ != 0) {
|
---|
| 299 | if (a.NbDimensions() != 2)
|
---|
| 300 | throw( ParmError("TArray<T>::ReSize(a.NbDimensions()!=2,...) for Matrix" ) );
|
---|
| 301 | if ((arrtype_ == 2) && (a.Size(0) > 1) && (a.Size(1) > 1))
|
---|
| 302 | throw( ParmError("TArray<T>::ReSize(a.Size(0)>1 && a.Size(1)>1) for Vector" ) );
|
---|
| 303 | }
|
---|
| 304 | string exmsg = "TArray<T>::ReSize(const TArray<T>&)";
|
---|
[2564] | 305 | if (pack) {
|
---|
| 306 | sa_size_t siz[BASEARRAY_MAXNDIMS];
|
---|
[2569] | 307 | int ksz;
|
---|
| 308 | for(ksz=0; ksz<a.NbDimensions(); ksz++) siz[ksz] = a.Size(ksz);
|
---|
| 309 | for(ksz=a.NbDimensions(); ksz<BASEARRAY_MAXNDIMS; ksz++) siz[ksz] = 1;
|
---|
[2564] | 310 | if (!UpdateSizes(a.NbDimensions(), siz, 1, 0, exmsg)) throw( ParmError(exmsg) );
|
---|
[2569] | 311 | SetMemoryMapping(a.GetMemoryMapping());
|
---|
[2564] | 312 | mNDBlock.ReSize(totsize_, fzero);
|
---|
| 313 | }
|
---|
| 314 | else {
|
---|
| 315 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
|
---|
| 316 | mNDBlock.ReSize(totsize_);
|
---|
| 317 | }
|
---|
[1393] | 318 | }
|
---|
| 319 |
|
---|
[894] | 320 | //! Re-allocate space for array
|
---|
| 321 | /*!
|
---|
| 322 | \param ndim : number of dimensions
|
---|
| 323 | \param siz[ndim] : size along each dimension
|
---|
| 324 | \param step : step (same for all dimensions)
|
---|
| 325 | \param force : if true re-allocation is forced, if not it occurs
|
---|
| 326 | only if the required space is greater than the old one.
|
---|
| 327 | */
|
---|
[772] | 328 | template <class T>
|
---|
[1156] | 329 | void TArray<T>::Realloc(int_4 ndim, sa_size_t * siz, sa_size_t step, bool force)
|
---|
[772] | 330 | {
|
---|
[1099] | 331 | if (arrtype_ != 0) {
|
---|
| 332 | if (ndim != 2)
|
---|
| 333 | throw( ParmError("TArray<T>::Realloc(ndim!=2,...) for Matrix" ) );
|
---|
| 334 | if ((arrtype_ == 2) && (siz[0] > 1) && (siz[1] > 1))
|
---|
| 335 | throw( ParmError("TArray<T>::Realloc(,siz[0]>1 && size[1]>1) for Vector" ) );
|
---|
| 336 | }
|
---|
[772] | 337 | string exmsg = "TArray<T>::Realloc()";
|
---|
| 338 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
|
---|
[1389] | 339 | mNDBlock.Realloc(totsize_, force);
|
---|
[772] | 340 | }
|
---|
| 341 |
|
---|
[787] | 342 |
|
---|
[894] | 343 | //! Compact dimensions in one or more is equal to 1.
|
---|
[772] | 344 | template <class T>
|
---|
[787] | 345 | TArray<T>& TArray<T>::CompactAllDimensions()
|
---|
[772] | 346 | {
|
---|
[787] | 347 | CompactAllDim();
|
---|
| 348 | return(*this);
|
---|
[772] | 349 | }
|
---|
| 350 |
|
---|
[894] | 351 | //! Compact dimensions if the last one is equal to 1.
|
---|
[785] | 352 | template <class T>
|
---|
[787] | 353 | TArray<T>& TArray<T>::CompactTrailingDimensions()
|
---|
[785] | 354 | {
|
---|
[787] | 355 | CompactTrailingDim();
|
---|
[785] | 356 | return(*this);
|
---|
| 357 | }
|
---|
| 358 |
|
---|
[894] | 359 | //! Give value (in \b double) for element at position \b ip..
|
---|
[785] | 360 | template <class T>
|
---|
[1156] | 361 | MuTyV & TArray<T>::ValueAtPosition(sa_size_t ip) const
|
---|
[785] | 362 | {
|
---|
[787] | 363 | #ifdef SO_BOUNDCHECKING
|
---|
[1156] | 364 | if (ip >= totsize_) throw( ParmError("TArray<T>::ValueAtPosition(sa_size_t ip) Out-of-bound Error") );
|
---|
[787] | 365 | #endif
|
---|
[1081] | 366 | my_mtv = *(mNDBlock.Begin()+Offset(ip));
|
---|
| 367 | return( my_mtv );
|
---|
[785] | 368 | }
|
---|
| 369 |
|
---|
[894] | 370 | //! Return array with elements packed
|
---|
| 371 | /*!
|
---|
| 372 | \param force : if true, pack elements in a new array.
|
---|
| 373 | If false and array is already packed, return
|
---|
| 374 | an array that share data with the current one.
|
---|
| 375 | \return packed array
|
---|
| 376 | */
|
---|
[804] | 377 | template <class T>
|
---|
| 378 | TArray<T> TArray<T>::PackElements(bool force) const
|
---|
| 379 | {
|
---|
| 380 | if (NbDimensions() < 1)
|
---|
| 381 | throw RangeCheckError("TArray<T>::PackElements() - Not Allocated Array ! ");
|
---|
| 382 | if ( !force && (AvgStep() == 1) ) {
|
---|
[970] | 383 | TArray<T> ra;
|
---|
| 384 | ra.Share(*this);
|
---|
[804] | 385 | ra.SetTemp(true);
|
---|
| 386 | return(ra);
|
---|
| 387 | }
|
---|
| 388 | else {
|
---|
| 389 | TArray<T> ra(ndim_, size_, 1);
|
---|
| 390 | ra.CopyElt(*this);
|
---|
| 391 | ra.SetTemp(true);
|
---|
| 392 | return(ra);
|
---|
| 393 | }
|
---|
| 394 | }
|
---|
| 395 |
|
---|
[785] | 396 | // SubArrays
|
---|
[804] | 397 | // $CHECK$ Reza 03/2000 Doit-on declarer cette methode const ?
|
---|
[894] | 398 | //! Extract a sub-array
|
---|
| 399 | /*!
|
---|
| 400 | \param rx,ry,rz,rt,ru : range of extraction along dimensions
|
---|
| 401 | \sa Range
|
---|
| 402 | */
|
---|
[785] | 403 | template <class T>
|
---|
[804] | 404 | TArray<T> TArray<T>::SubArray(Range rx, Range ry, Range rz, Range rt, Range ru) const
|
---|
[785] | 405 | {
|
---|
[804] | 406 | if (NbDimensions() < 1)
|
---|
| 407 | throw RangeCheckError("TArray<T>::operator () (Range, ...) - Not Allocated Array ! ");
|
---|
[1156] | 408 | int_4 ndim = 0;
|
---|
| 409 | sa_size_t size[BASEARRAY_MAXNDIMS];
|
---|
| 410 | sa_size_t step[BASEARRAY_MAXNDIMS];
|
---|
| 411 | sa_size_t pos[BASEARRAY_MAXNDIMS];
|
---|
[785] | 412 | size[0] = rx.Size();
|
---|
| 413 | size[1] = ry.Size();
|
---|
| 414 | size[2] = rz.Size();
|
---|
| 415 | size[3] = rt.Size();
|
---|
| 416 | size[4] = ru.Size();
|
---|
| 417 |
|
---|
| 418 | step[0] = rx.Step();
|
---|
| 419 | step[1] = ry.Step();
|
---|
| 420 | step[2] = rz.Step();
|
---|
| 421 | step[3] = rt.Step();
|
---|
| 422 | step[4] = ru.Step();
|
---|
| 423 |
|
---|
| 424 | pos[0] = rx.Start();
|
---|
| 425 | pos[1] = ry.Start();
|
---|
| 426 | pos[2] = rz.Start();
|
---|
| 427 | pos[3] = rt.Start();
|
---|
| 428 | pos[4] = ru.Start();
|
---|
| 429 |
|
---|
| 430 | ndim = ndim_;
|
---|
| 431 | TArray<T> ra;
|
---|
[804] | 432 | UpdateSubArraySizes(ra, ndim, size, pos, step);
|
---|
[787] | 433 | ra.DataBlock().Share(this->DataBlock());
|
---|
[785] | 434 | ra.SetTemp(true);
|
---|
| 435 | return(ra);
|
---|
| 436 | }
|
---|
| 437 |
|
---|
[772] | 438 | // ...... Operation de calcul sur les tableaux ......
|
---|
| 439 | // ------- Attention --------
|
---|
| 440 | // Boucles normales prenant en compte les steps ....
|
---|
[894] | 441 | // Possibilite de // , vectorisation
|
---|
| 442 |
|
---|
| 443 | //! Fill TArray with Sequence \b seq
|
---|
| 444 | /*!
|
---|
| 445 | \param seq : sequence to fill the array
|
---|
| 446 | \sa Sequence
|
---|
| 447 | */
|
---|
[772] | 448 | template <class T>
|
---|
[1103] | 449 | TArray<T>& TArray<T>::SetSeq(Sequence const & seq)
|
---|
[772] | 450 | {
|
---|
[804] | 451 | if (NbDimensions() < 1)
|
---|
[813] | 452 | throw RangeCheckError("TArray<T>::SetSeq(Sequence ) - Not Allocated Array ! ");
|
---|
[1103] | 453 |
|
---|
[785] | 454 | T * pe;
|
---|
[1156] | 455 | sa_size_t j,k;
|
---|
| 456 | int_4 ka;
|
---|
[1103] | 457 | if (arrtype_ == 0) ka = 0;
|
---|
| 458 | else ka = macoli_;
|
---|
[1156] | 459 | sa_size_t step = Step(ka);
|
---|
| 460 | sa_size_t gpas = Size(ka);
|
---|
| 461 | sa_size_t naxa = Size()/Size(ka);
|
---|
[1103] | 462 | for(j=0; j<naxa; j++) {
|
---|
| 463 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[2153] | 464 | /*
|
---|
| 465 | Appel explicite de l'operateur de conversion
|
---|
| 466 | suite a la suggestion de M. Reinecke, Reza 31/7/2002
|
---|
[1103] | 467 | #if !defined(__GNUG__)
|
---|
| 468 | for(k=0; k<gpas; k++) pe[k*step] = (T) seq(j*gpas+k);
|
---|
| 469 | #else
|
---|
| 470 | // g++ (up to 2.95.1) se melange les pinceaux s'il y a le cast (T) pour l'instanciation des complexes
|
---|
| 471 | for(k=0; k<gpas; k++) pe[k*step] = seq(j*gpas+k);
|
---|
| 472 | #endif
|
---|
[2153] | 473 | --- Appel explicite de l'operateur de conversion sur l'objet MuTyV
|
---|
| 474 | */
|
---|
| 475 | for(k=0; k<gpas; k++) pe[k*step] = seq(j*gpas+k).operator T();
|
---|
[785] | 476 | }
|
---|
[772] | 477 | return(*this);
|
---|
| 478 | }
|
---|
| 479 |
|
---|
| 480 | // >>>> Operations avec 2nd membre de type scalaire
|
---|
| 481 |
|
---|
[894] | 482 | //! Fill an array with a constant value \b x
|
---|
[772] | 483 | template <class T>
|
---|
[2575] | 484 | TArray<T>& TArray<T>::SetCst(T x)
|
---|
[772] | 485 | {
|
---|
[804] | 486 | if (NbDimensions() < 1)
|
---|
[2575] | 487 | throw RangeCheckError("TArray<T>::SetCst(T ) - Not Allocated Array ! ");
|
---|
[785] | 488 | T * pe;
|
---|
[1156] | 489 | sa_size_t j,k;
|
---|
[785] | 490 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
[1156] | 491 | sa_size_t step = AvgStep();
|
---|
| 492 | sa_size_t maxx = totsize_*step;
|
---|
[785] | 493 | pe = Data();
|
---|
| 494 | for(k=0; k<maxx; k+=step ) pe[k] = x;
|
---|
| 495 | }
|
---|
| 496 | else { // Non regular data spacing ...
|
---|
[1156] | 497 | int_4 ka = MaxSizeKA();
|
---|
| 498 | sa_size_t step = Step(ka);
|
---|
| 499 | sa_size_t gpas = Size(ka)*step;
|
---|
| 500 | sa_size_t naxa = Size()/Size(ka);
|
---|
[813] | 501 | for(j=0; j<naxa; j++) {
|
---|
| 502 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[785] | 503 | for(k=0; k<gpas; k+=step) pe[k] = x;
|
---|
| 504 | }
|
---|
| 505 | }
|
---|
[772] | 506 | return(*this);
|
---|
| 507 | }
|
---|
| 508 |
|
---|
[2564] | 509 | //! Add a constant value \b x to the source array and store the result in \b res.
|
---|
| 510 | /*!
|
---|
| 511 | Add a constant to the source array \b this and store the result in \b res (res = *this+x).
|
---|
| 512 | If not initially allocated, the output array \b res is automatically
|
---|
| 513 | resized as a packed array with the same sizes as the source (this) array.
|
---|
| 514 | Returns a reference to the output array \b res.
|
---|
| 515 | \param x : constant to add to the array elements
|
---|
| 516 | \param res : Output array containing the result (res=this+x).
|
---|
| 517 | */
|
---|
[772] | 518 | template <class T>
|
---|
[2564] | 519 | TArray<T>& TArray<T>::AddCst(T x, TArray<T>& res) const
|
---|
[772] | 520 | {
|
---|
[804] | 521 | if (NbDimensions() < 1)
|
---|
[2564] | 522 | throw RangeCheckError("TArray<T>::AddCst(T,res) - Not allocated source array ");
|
---|
| 523 | if (res.NbDimensions() < 1) res.SetSize(*this, true, false);
|
---|
| 524 | bool smo;
|
---|
| 525 | if (!CompareSizes(res, smo))
|
---|
| 526 | throw(SzMismatchError("TArray<T>::AddCst(T, res) SizeMismatch(this,res) ")) ;
|
---|
| 527 |
|
---|
| 528 | const T * pe;
|
---|
| 529 | T * per;
|
---|
[2575] | 530 | sa_size_t j,k;
|
---|
[2564] | 531 | if (smo && (IsPacked() > 0) && (res.IsPacked() > 0)) { // regularly spaced elements
|
---|
| 532 | sa_size_t maxx = totsize_;
|
---|
[785] | 533 | pe = Data();
|
---|
[2564] | 534 | per = res.Data();
|
---|
| 535 | for(k=0; k<maxx; k++) { *per = (*pe)+x; per++; pe++; }
|
---|
[785] | 536 | }
|
---|
| 537 | else { // Non regular data spacing ...
|
---|
[2564] | 538 | int_4 ax,axr;
|
---|
| 539 | sa_size_t step, stepr;
|
---|
[2575] | 540 | sa_size_t gpas, naxa;
|
---|
| 541 | GetOpeParams(res, smo, ax, axr, step, stepr, gpas, naxa);
|
---|
| 542 | for(j=0; j<naxa; j++) {
|
---|
[2564] | 543 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 544 | per = res.DataBlock().Begin()+res.Offset(axr,j);
|
---|
[2575] | 545 | for(k=0; k<gpas; k+=step, pe+=step, per+=stepr) *per = *pe+x;
|
---|
[785] | 546 | }
|
---|
| 547 | }
|
---|
[2564] | 548 | return(res);
|
---|
[772] | 549 | }
|
---|
| 550 |
|
---|
[2564] | 551 | //! Subtract a constant value \b x from the source array and store the result in \b res.
|
---|
[970] | 552 | /*!
|
---|
[2564] | 553 | Subtract a constant from the source array \b this and store the result in \b res (res = *this-x).
|
---|
| 554 | If not initially allocated, the output array \b res is automatically
|
---|
| 555 | resized as a packed array with the same sizes as the source (this) array.
|
---|
| 556 | Returns a reference to the output array \b res.
|
---|
| 557 | \param x : constant to subtract from the array elements
|
---|
| 558 | \param res : Output array containing the result (res=this+x or res=x-this).
|
---|
[2575] | 559 | \param fginv == true : Invert subtraction argument order (res = x-(*this))
|
---|
[970] | 560 | */
|
---|
[772] | 561 | template <class T>
|
---|
[2564] | 562 | TArray<T>& TArray<T>::SubCst(T x, TArray<T>& res, bool fginv) const
|
---|
[772] | 563 | {
|
---|
[804] | 564 | if (NbDimensions() < 1)
|
---|
[2564] | 565 | throw RangeCheckError("TArray<T>::SubCst(T,res) - Not allocated source array ");
|
---|
| 566 | if (res.NbDimensions() < 1) res.SetSize(*this, true, false);
|
---|
| 567 | bool smo;
|
---|
| 568 | if (!CompareSizes(res, smo))
|
---|
| 569 | throw(SzMismatchError("TArray<T>::SubCst(T, res) SizeMismatch(this,res) ")) ;
|
---|
| 570 |
|
---|
| 571 | const T * pe;
|
---|
| 572 | T * per;
|
---|
[2575] | 573 | sa_size_t j,k;
|
---|
[2564] | 574 | if (smo && (IsPacked() > 0) && (res.IsPacked() > 0)) { // regularly spaced elements
|
---|
| 575 | sa_size_t maxx = totsize_;
|
---|
[785] | 576 | pe = Data();
|
---|
[2564] | 577 | per = res.Data();
|
---|
| 578 | if (!fginv)
|
---|
| 579 | for(k=0; k<maxx; k++) { *per = (*pe)-x; per++; pe++; }
|
---|
| 580 | else
|
---|
| 581 | for(k=0; k<maxx; k++) { *per = x-(*pe); per++; pe++; }
|
---|
[785] | 582 | }
|
---|
| 583 | else { // Non regular data spacing ...
|
---|
[2564] | 584 | int_4 ax,axr;
|
---|
| 585 | sa_size_t step, stepr;
|
---|
[2575] | 586 | sa_size_t gpas, naxa;
|
---|
| 587 | GetOpeParams(res, smo, ax, axr, step, stepr, gpas, naxa);
|
---|
| 588 | for(j=0; j<naxa; j++) {
|
---|
[2564] | 589 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 590 | per = res.DataBlock().Begin()+res.Offset(axr,j);
|
---|
| 591 | if (!fginv)
|
---|
[2575] | 592 | for(k=0; k<gpas; k+=step, pe+=step, per+=stepr) *per = *pe-x;
|
---|
| 593 | else
|
---|
| 594 | for(k=0; k<gpas; k+=step, pe+=step, per+=stepr) *per = x-*pe;
|
---|
[785] | 595 | }
|
---|
| 596 | }
|
---|
[2564] | 597 | return(res);
|
---|
[772] | 598 | }
|
---|
| 599 |
|
---|
[2564] | 600 | //! Multiply the source array by a constant value \b x and store the result in \b res.
|
---|
| 601 | /*!
|
---|
| 602 | Multiply the source array \b this by a constant \b x and store the result in \b res (res = *this*x).
|
---|
| 603 | If not initially allocated, the output array \b res is automatically
|
---|
| 604 | resized as a packed array with the same sizes as the source (this) array.
|
---|
| 605 | Returns a reference to the output array \b res.
|
---|
| 606 | \param x : Array elements are multiplied by x
|
---|
| 607 | \param res : Output array containing the result (res=this*x).
|
---|
| 608 | */
|
---|
[772] | 609 | template <class T>
|
---|
[2564] | 610 | TArray<T>& TArray<T>::MulCst(T x, TArray<T>& res) const
|
---|
[772] | 611 | {
|
---|
[804] | 612 | if (NbDimensions() < 1)
|
---|
[2564] | 613 | throw RangeCheckError("TArray<T>::MulCst(T,res) - Not allocated source array ");
|
---|
| 614 | if (res.NbDimensions() < 1) res.SetSize(*this, true, false);
|
---|
| 615 | bool smo;
|
---|
| 616 | if (!CompareSizes(res, smo))
|
---|
| 617 | throw(SzMismatchError("TArray<T>::MulCst(T, res) SizeMismatch(this,res) ")) ;
|
---|
| 618 |
|
---|
| 619 | const T * pe;
|
---|
| 620 | T * per;
|
---|
[2575] | 621 | sa_size_t j,k;
|
---|
[2564] | 622 | if (smo && (IsPacked() > 0) && (res.IsPacked() > 0)) { // regularly spaced elements
|
---|
| 623 | sa_size_t maxx = totsize_;
|
---|
[785] | 624 | pe = Data();
|
---|
[2564] | 625 | per = res.Data();
|
---|
| 626 | for(k=0; k<maxx; k++) { *per = (*pe)*x; per++; pe++; }
|
---|
[785] | 627 | }
|
---|
| 628 | else { // Non regular data spacing ...
|
---|
[2564] | 629 | int_4 ax,axr;
|
---|
| 630 | sa_size_t step, stepr;
|
---|
[2575] | 631 | sa_size_t gpas, naxa;
|
---|
| 632 | GetOpeParams(res, smo, ax, axr, step, stepr, gpas, naxa);
|
---|
| 633 | for(j=0; j<naxa; j++) {
|
---|
[2564] | 634 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 635 | per = res.DataBlock().Begin()+res.Offset(axr,j);
|
---|
[2575] | 636 | for(k=0; k<gpas; k+=step, pe+=step, per+=stepr) *per = (*pe)*x;
|
---|
[785] | 637 | }
|
---|
| 638 | }
|
---|
[2564] | 639 | return(res);
|
---|
[772] | 640 | }
|
---|
| 641 |
|
---|
[2564] | 642 | //! Divide the source array by a constant value \b x and store the result in \b res.
|
---|
[970] | 643 | /*!
|
---|
[2564] | 644 | Divide the source array \b this by a constant \b x and store the result in \b res (res = *this/x).
|
---|
| 645 | If not initially allocated, the output array \b res is automatically
|
---|
| 646 | resized as a packed array with the same sizes as the source (this) array.
|
---|
| 647 | Returns a reference to the output array \b res.
|
---|
| 648 | \param x : Array elements are divied by x
|
---|
| 649 | \param res : Output array containing the result (res=(*this)/x or res=x/(*this)).
|
---|
[2575] | 650 | \param fginv == true : Invert the division argument order (res = x/(*this))
|
---|
[970] | 651 | */
|
---|
[772] | 652 | template <class T>
|
---|
[2564] | 653 | TArray<T>& TArray<T>::DivCst(T x, TArray<T>& res, bool fginv) const
|
---|
[772] | 654 | {
|
---|
[804] | 655 | if (NbDimensions() < 1)
|
---|
[2564] | 656 | throw RangeCheckError("TArray<T>::DivCst(T,res) - Not allocated source array ! ");
|
---|
[970] | 657 | if (!fginv && (x == (T) 0) )
|
---|
[2564] | 658 | throw MathExc("TArray<T>::DivCst(T,res) - Divide by zero ! ");
|
---|
| 659 | if (res.NbDimensions() < 1) res.SetSize(*this, true, false);
|
---|
| 660 | bool smo;
|
---|
| 661 | if (!CompareSizes(res, smo))
|
---|
| 662 | throw(SzMismatchError("TArray<T>::DivCst(T, res) SizeMismatch(this,res) ")) ;
|
---|
| 663 |
|
---|
| 664 | const T * pe;
|
---|
| 665 | T * per;
|
---|
| 666 | sa_size_t j,k,kr;
|
---|
| 667 | if (smo && (IsPacked() > 0) && (res.IsPacked() > 0)) { // regularly spaced elements
|
---|
| 668 | sa_size_t maxx = totsize_;
|
---|
[785] | 669 | pe = Data();
|
---|
[2564] | 670 | per = res.Data();
|
---|
| 671 | if (!fginv)
|
---|
| 672 | for(k=0; k<maxx; k++) { *per = (*pe)/x; per++; pe++; }
|
---|
[970] | 673 | else
|
---|
[2564] | 674 | for(k=0; k<maxx; k++) { *per = x/(*pe); per++; pe++; }
|
---|
[785] | 675 | }
|
---|
| 676 | else { // Non regular data spacing ...
|
---|
[2564] | 677 | int_4 ax,axr;
|
---|
| 678 | sa_size_t step, stepr;
|
---|
[2575] | 679 | sa_size_t gpas, naxa;
|
---|
| 680 | GetOpeParams(res, smo, ax, axr, step, stepr, gpas, naxa);
|
---|
| 681 | for(j=0; j<naxa; j++) {
|
---|
[2564] | 682 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 683 | per = res.DataBlock().Begin()+res.Offset(axr,j);
|
---|
| 684 | if (!fginv)
|
---|
[2575] | 685 | for(k=0; k<gpas; k+=step, pe+=step, per+=stepr) *per = (*pe)/x;
|
---|
| 686 | else
|
---|
| 687 | for(k=0; k<gpas; k+=step, pe+=step, per+=stepr) *per = x/(*pe);
|
---|
[785] | 688 | }
|
---|
| 689 | }
|
---|
[2564] | 690 | return(res);
|
---|
[772] | 691 | }
|
---|
| 692 |
|
---|
| 693 |
|
---|
[2564] | 694 | //! Stores the opposite of the source array in \b res (res=-(*this)).
|
---|
| 695 | /*!
|
---|
| 696 | If not initially allocated, the output array \b res is automatically
|
---|
| 697 | resized as a packed array with the same sizes as the source (this) array.
|
---|
| 698 | Returns a reference to the output array \b res.
|
---|
| 699 | */
|
---|
[1156] | 700 | template <class T>
|
---|
[2564] | 701 | TArray<T>& TArray<T>::NegateElt(TArray<T>& res) const
|
---|
[1156] | 702 | {
|
---|
| 703 | if (NbDimensions() < 1)
|
---|
[2564] | 704 | throw RangeCheckError("TArray<T>::NegateElt(res) - Not allocated source array ");
|
---|
| 705 | if (res.NbDimensions() < 1) res.SetSize(*this, true, false);
|
---|
| 706 | bool smo;
|
---|
| 707 | if (!CompareSizes(res, smo))
|
---|
| 708 | throw(SzMismatchError("TArray<T>::NegateElt(res) SizeMismatch(this,res) ")) ;
|
---|
| 709 |
|
---|
| 710 | const T * pe;
|
---|
| 711 | T * per;
|
---|
[2575] | 712 | sa_size_t j,k;
|
---|
[2564] | 713 | if (smo && (IsPacked() > 0) && (res.IsPacked() > 0)) { // regularly spaced elements
|
---|
| 714 | sa_size_t maxx = totsize_;
|
---|
[1156] | 715 | pe = Data();
|
---|
[2564] | 716 | per = res.Data();
|
---|
| 717 | for(k=0; k<maxx; k++) { *per = -(*pe); per++; pe++; }
|
---|
[1156] | 718 | }
|
---|
| 719 | else { // Non regular data spacing ...
|
---|
[2564] | 720 | int_4 ax,axr;
|
---|
| 721 | sa_size_t step, stepr;
|
---|
[2575] | 722 | sa_size_t gpas, naxa;
|
---|
| 723 | GetOpeParams(res, smo, ax, axr, step, stepr, gpas, naxa);
|
---|
| 724 | for(j=0; j<naxa; j++) {
|
---|
[2564] | 725 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 726 | per = res.DataBlock().Begin()+res.Offset(axr,j);
|
---|
[2575] | 727 | for(k=0; k<gpas; k+=step, pe+=step, per+=stepr) *per = -(*pe);
|
---|
[1156] | 728 | }
|
---|
| 729 | }
|
---|
[2564] | 730 | return(res);
|
---|
[1156] | 731 | }
|
---|
[804] | 732 |
|
---|
[772] | 733 | // >>>> Operations avec 2nd membre de type tableau
|
---|
[2575] | 734 |
|
---|
| 735 | //! Two TArrays element by element addition
|
---|
| 736 | /*!
|
---|
| 737 | Perform element by element addition of the source array (this) and the \b a array
|
---|
| 738 | and store the result in \b res (res = *this+a). The source and argument arrays (this, a)
|
---|
| 739 | should have the same sizes.
|
---|
| 740 | If not initially allocated, the output array \b res is automatically
|
---|
| 741 | resized as a packed array with the same sizes as the source (this) array.
|
---|
| 742 | Returns a reference to the output array \b res.
|
---|
| 743 | \param a : Array to be added to the source array.
|
---|
| 744 | \param res : Output array containing the result (res=this+a).
|
---|
| 745 | */
|
---|
[772] | 746 | template <class T>
|
---|
[2575] | 747 | TArray<T>& TArray<T>::AddElt(const TArray<T>& a, TArray<T>& res) const
|
---|
[772] | 748 | {
|
---|
[804] | 749 | if (NbDimensions() < 1)
|
---|
[2575] | 750 | throw RangeCheckError("TArray<T>::AddElt(...) - Not allocated source array ! ");
|
---|
| 751 | bool smoa;
|
---|
| 752 | if (!CompareSizes(a, smoa))
|
---|
| 753 | throw(SzMismatchError("TArray<T>::AddElt(...) SizeMismatch(this,a)")) ;
|
---|
| 754 | if (res.NbDimensions() < 1) res.SetSize(*this, true, false);
|
---|
| 755 | bool smor;
|
---|
| 756 | if (!CompareSizes(res, smor))
|
---|
| 757 | throw(SzMismatchError("TArray<T>::AddElt(...) SizeMismatch(this,res) ")) ;
|
---|
[785] | 758 |
|
---|
[2575] | 759 | bool smora;
|
---|
| 760 | a.CompareSizes(res, smora);
|
---|
| 761 |
|
---|
| 762 | bool smo = smoa && smor; // The three arrays have same memory organisation
|
---|
| 763 |
|
---|
| 764 | const T * pe;
|
---|
[785] | 765 | const T * pea;
|
---|
[2575] | 766 | T * per;
|
---|
| 767 | sa_size_t j,k;
|
---|
| 768 | if (smo && IsPacked() && a.IsPacked() && res.IsPacked() ) { // All packed arrays
|
---|
| 769 | sa_size_t maxx = totsize_;
|
---|
[785] | 770 | pe = Data();
|
---|
| 771 | pea = a.Data();
|
---|
[2575] | 772 | per = res.Data();
|
---|
| 773 | for(k=0; k<maxx; k++, pe++, pea++, per++) *per = *pe + *pea ;
|
---|
[772] | 774 | }
|
---|
[785] | 775 | else { // Non regular data spacing ...
|
---|
[2575] | 776 | int_4 ax,axa,axr;
|
---|
[1156] | 777 | sa_size_t step, stepa;
|
---|
| 778 | sa_size_t gpas, naxa;
|
---|
[2575] | 779 | sa_size_t stepr, stgpas;
|
---|
| 780 | if ( !smo && smora ) { // same mem-org for a,res , different from this
|
---|
| 781 | a.GetOpeParams(*this, smo, axa, ax, stepa, step, gpas, naxa);
|
---|
| 782 | a.GetOpeParams(res, smo, axa, axr, stepa, stepr, gpas, naxa);
|
---|
| 783 | stgpas = stepa;
|
---|
| 784 | }
|
---|
| 785 | else { // same mem-org for all, or same (this,a) OR same(this,res)
|
---|
| 786 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
| 787 | GetOpeParams(res, smo, ax, axr, step, stepr, gpas, naxa);
|
---|
| 788 | stgpas = step;
|
---|
| 789 | }
|
---|
[813] | 790 | for(j=0; j<naxa; j++) {
|
---|
| 791 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
[1099] | 792 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
[2575] | 793 | per = res.DataBlock().Begin()+res.Offset(axr,j);
|
---|
| 794 | for(k=0; k<gpas; k+=stgpas, pe+=step, pea+=stepa, per+=stepr) *per = *pe + *pea ;
|
---|
[785] | 795 | }
|
---|
| 796 | }
|
---|
[2575] | 797 | return(res);
|
---|
[772] | 798 | }
|
---|
| 799 |
|
---|
[2575] | 800 | //! Two TArrays element by element subtraction
|
---|
[970] | 801 | /*!
|
---|
[2575] | 802 | Perform element by element subtraction of the source array (this) and the \b a array
|
---|
| 803 | and the store result in \b res (res = *this-a or res=a-(*this)).
|
---|
| 804 | The source and argument arrays (this, a) should have the same sizes.
|
---|
| 805 | If not initially allocated, the output array \b res is automatically
|
---|
| 806 | resized as a packed array with the same sizes as the source (this) array.
|
---|
| 807 | Returns a reference to the output array \b res.
|
---|
| 808 | \param a : Array to be added to the source array.
|
---|
| 809 | \param res : Output array containing the result (res=*this+x).
|
---|
| 810 | \param fginv == true : Invert subtraction argument order (res = a-(*this))
|
---|
[970] | 811 | */
|
---|
[2575] | 812 |
|
---|
[772] | 813 | template <class T>
|
---|
[2575] | 814 | TArray<T>& TArray<T>::SubElt(const TArray<T>& a, TArray<T>& res, bool fginv) const
|
---|
[772] | 815 | {
|
---|
[804] | 816 | if (NbDimensions() < 1)
|
---|
[2575] | 817 | throw RangeCheckError("TArray<T>::SubElt(...) - Not allocated source array ! ");
|
---|
| 818 | bool smoa;
|
---|
| 819 | if (!CompareSizes(a, smoa))
|
---|
| 820 | throw(SzMismatchError("TArray<T>::SubElt(...) SizeMismatch(this,a)")) ;
|
---|
| 821 | if (res.NbDimensions() < 1) res.SetSize(*this, true, false);
|
---|
| 822 | bool smor;
|
---|
| 823 | if (!CompareSizes(res, smor))
|
---|
| 824 | throw(SzMismatchError("TArray<T>::SubElt(...) SizeMismatch(this,res) ")) ;
|
---|
[785] | 825 |
|
---|
[2575] | 826 | bool smora;
|
---|
| 827 | a.CompareSizes(res, smora);
|
---|
| 828 |
|
---|
| 829 | bool smo = smoa && smor; // The three arrays have same memory organisation
|
---|
| 830 |
|
---|
| 831 | const T * pe;
|
---|
[785] | 832 | const T * pea;
|
---|
[2575] | 833 | T * per;
|
---|
| 834 | sa_size_t j,k;
|
---|
| 835 | if (smo && IsPacked() && a.IsPacked() && res.IsPacked() ) { // All packed arrays
|
---|
| 836 | sa_size_t maxx = totsize_;
|
---|
[785] | 837 | pe = Data();
|
---|
| 838 | pea = a.Data();
|
---|
[2575] | 839 | per = res.Data();
|
---|
| 840 | if (!fginv)
|
---|
| 841 | for(k=0; k<maxx; k++, pe++, pea++, per++) *per = *pe - *pea ;
|
---|
[970] | 842 | else
|
---|
[2575] | 843 | for(k=0; k<maxx; k++, pe++, pea++, per++) *per = *pea - *pe ;
|
---|
[772] | 844 | }
|
---|
[785] | 845 | else { // Non regular data spacing ...
|
---|
[2575] | 846 | int_4 ax,axa,axr;
|
---|
[1156] | 847 | sa_size_t step, stepa;
|
---|
| 848 | sa_size_t gpas, naxa;
|
---|
[2575] | 849 | sa_size_t stepr, stgpas;
|
---|
| 850 | if ( !smo && smora ) { // same mem-org for a,res , different from this
|
---|
| 851 | a.GetOpeParams(*this, smo, axa, ax, stepa, step, gpas, naxa);
|
---|
| 852 | a.GetOpeParams(res, smo, axa, axr, stepa, stepr, gpas, naxa);
|
---|
| 853 | stgpas = stepa;
|
---|
| 854 | }
|
---|
| 855 | else { // same mem-org for all, or same (this,a) OR same(this,res)
|
---|
| 856 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
| 857 | GetOpeParams(res, smo, ax, axr, step, stepr, gpas, naxa);
|
---|
| 858 | stgpas = step;
|
---|
| 859 | }
|
---|
[813] | 860 | for(j=0; j<naxa; j++) {
|
---|
| 861 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
[1099] | 862 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
[2575] | 863 | per = res.DataBlock().Begin()+res.Offset(axr,j);
|
---|
| 864 | if (!fginv)
|
---|
| 865 | for(k=0; k<gpas; k+=stgpas, pe+=step, pea+=stepa, per+=stepr) *per = *pe - *pea ;
|
---|
| 866 | else
|
---|
| 867 | for(k=0; k<gpas; k+=stgpas, pe+=step, pea+=stepa, per+=stepr) *per = *pea - *pea ;
|
---|
[785] | 868 | }
|
---|
| 869 | }
|
---|
[2575] | 870 | return(res);
|
---|
[772] | 871 | }
|
---|
| 872 |
|
---|
[970] | 873 |
|
---|
[2575] | 874 | //! Two TArrays element by element multiplication
|
---|
| 875 | /*!
|
---|
| 876 | Perform element by element multiplication of the source array (this) and the \b a array
|
---|
| 877 | and store the result in \b res (res = *this*a). The source and argument arrays (this, a)
|
---|
| 878 | should have the same sizes.
|
---|
| 879 | If not initially allocated, the output array \b res is automatically
|
---|
| 880 | resized as a packed array with the same sizes as the source (this) array.
|
---|
| 881 | Returns a reference to the output array \b res.
|
---|
| 882 | \param a : Array to be added to the source array.
|
---|
| 883 | \param res : Output array containing the result (res=(*this)*a).
|
---|
| 884 | */
|
---|
[772] | 885 | template <class T>
|
---|
[2575] | 886 | TArray<T>& TArray<T>::MulElt(const TArray<T>& a, TArray<T>& res) const
|
---|
[772] | 887 | {
|
---|
[804] | 888 | if (NbDimensions() < 1)
|
---|
[2575] | 889 | throw RangeCheckError("TArray<T>::MulElt(...) - Not allocated source array ! ");
|
---|
| 890 | bool smoa;
|
---|
| 891 | if (!CompareSizes(a, smoa))
|
---|
| 892 | throw(SzMismatchError("TArray<T>::MulElt(...) SizeMismatch(this,a)")) ;
|
---|
| 893 | if (res.NbDimensions() < 1) res.SetSize(*this, true, false);
|
---|
| 894 | bool smor;
|
---|
| 895 | if (!CompareSizes(res, smor))
|
---|
| 896 | throw(SzMismatchError("TArray<T>::MulElt(...) SizeMismatch(this,res) ")) ;
|
---|
[785] | 897 |
|
---|
[2575] | 898 | bool smora;
|
---|
| 899 | a.CompareSizes(res, smora);
|
---|
| 900 |
|
---|
| 901 | bool smo = smoa && smor; // The three arrays have same memory organisation
|
---|
| 902 |
|
---|
| 903 | const T * pe;
|
---|
[785] | 904 | const T * pea;
|
---|
[2575] | 905 | T * per;
|
---|
| 906 | sa_size_t j,k;
|
---|
| 907 | if (smo && IsPacked() && a.IsPacked() && res.IsPacked() ) { // All packed arrays
|
---|
| 908 | sa_size_t maxx = totsize_;
|
---|
[785] | 909 | pe = Data();
|
---|
| 910 | pea = a.Data();
|
---|
[2575] | 911 | per = res.Data();
|
---|
| 912 | for(k=0; k<maxx; k++, pe++, pea++, per++ ) *per = (*pe) * (*pea) ;
|
---|
[772] | 913 | }
|
---|
[785] | 914 | else { // Non regular data spacing ...
|
---|
[2575] | 915 | int_4 ax,axa,axr;
|
---|
[1156] | 916 | sa_size_t step, stepa;
|
---|
| 917 | sa_size_t gpas, naxa;
|
---|
[2575] | 918 | sa_size_t stepr, stgpas;
|
---|
| 919 | if ( !smo && smora ) { // same mem-org for a,res , different from this
|
---|
| 920 | a.GetOpeParams(*this, smo, axa, ax, stepa, step, gpas, naxa);
|
---|
| 921 | a.GetOpeParams(res, smo, axa, axr, stepa, stepr, gpas, naxa);
|
---|
| 922 | stgpas = stepa;
|
---|
| 923 | }
|
---|
| 924 | else { // same mem-org for all, or same (this,a) OR same(this,res)
|
---|
| 925 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
| 926 | GetOpeParams(res, smo, ax, axr, step, stepr, gpas, naxa);
|
---|
| 927 | stgpas = step;
|
---|
| 928 | }
|
---|
[813] | 929 | for(j=0; j<naxa; j++) {
|
---|
[2575] | 930 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
[1099] | 931 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
[2575] | 932 | per = res.DataBlock().Begin()+res.Offset(axr,j);
|
---|
| 933 | for(k=0; k<gpas; k+=stgpas, pe+=step, pea+=stepa, per+=stepr) *per = (*pe) * (*pea);
|
---|
[785] | 934 | }
|
---|
| 935 | }
|
---|
[2575] | 936 | return(res);
|
---|
[772] | 937 | }
|
---|
| 938 |
|
---|
[804] | 939 |
|
---|
[2575] | 940 | //! Two TArrays element by element division
|
---|
[970] | 941 | /*!
|
---|
[2575] | 942 | Perform element by element division of the source array (this) and the \b a array
|
---|
| 943 | and store the result in \b res (res = *this/a). The source and argument arrays (this, a)
|
---|
| 944 | should have the same sizes.
|
---|
| 945 | If not initially allocated, the output array \b res is automatically
|
---|
| 946 | resized as a packed array with the same sizes as the source (this) array.
|
---|
| 947 | Returns a reference to the output array \b res.
|
---|
| 948 | \param a : Array to be added to the source array.
|
---|
| 949 | \param res : Output array containing the result (res=*this/a).
|
---|
| 950 | \param fginv == true : Inverts the division argument order (res = a/(*this))
|
---|
| 951 | \param divzero == true : Result is set to zero (res(i)=0) if the operation's
|
---|
| 952 | second argument is equal to zero (a(i)/(*this)(i)==0)
|
---|
[970] | 953 | */
|
---|
[772] | 954 | template <class T>
|
---|
[2575] | 955 | TArray<T>& TArray<T>::DivElt(const TArray<T>& a, TArray<T>& res, bool fginv, bool divzero) const
|
---|
[772] | 956 | {
|
---|
[804] | 957 | if (NbDimensions() < 1)
|
---|
[2575] | 958 | throw RangeCheckError("TArray<T>::DivElt(...) - Not allocated source array ! ");
|
---|
| 959 | bool smoa;
|
---|
| 960 | if (!CompareSizes(a, smoa))
|
---|
| 961 | throw(SzMismatchError("TArray<T>::DivElt(...) SizeMismatch(this,a)")) ;
|
---|
| 962 | if (res.NbDimensions() < 1) res.SetSize(*this, true, false);
|
---|
| 963 | bool smor;
|
---|
| 964 | if (!CompareSizes(res, smor))
|
---|
| 965 | throw(SzMismatchError("TArray<T>::DivElt(...) SizeMismatch(this,res) ")) ;
|
---|
[785] | 966 |
|
---|
[2575] | 967 | bool smora;
|
---|
| 968 | a.CompareSizes(res, smora);
|
---|
| 969 |
|
---|
| 970 | bool smo = smoa && smor; // The three arrays have same memory organisation
|
---|
| 971 |
|
---|
| 972 | const T * pe;
|
---|
[785] | 973 | const T * pea;
|
---|
[2575] | 974 | T * per;
|
---|
| 975 | sa_size_t j,k;
|
---|
| 976 | if (smo && IsPacked() && a.IsPacked() && res.IsPacked() ) { // All packed arrays
|
---|
| 977 | sa_size_t maxx = totsize_;
|
---|
[785] | 978 | pe = Data();
|
---|
| 979 | pea = a.Data();
|
---|
[2575] | 980 | per = res.Data();
|
---|
[1072] | 981 | if(divzero) {
|
---|
[2575] | 982 | if (!fginv)
|
---|
| 983 | for(k=0; k<maxx; k++, pe++, pea++, per++ )
|
---|
| 984 | if (*pea==(T)0) *per = (T)0; else *per = *pe / *pea ;
|
---|
[1072] | 985 | else
|
---|
[2575] | 986 | for(k=0; k<maxx; k++, pe++, pea++, per++ )
|
---|
| 987 | if (*pe==(T)0) *per = (T)0; else *per = *pea / *pe ;
|
---|
[1072] | 988 | }
|
---|
[2575] | 989 | else {
|
---|
| 990 | if (!fginv)
|
---|
| 991 | for(k=0; k<maxx; k++, pe++, pea++, per++ ) *per = *pe / *pea ;
|
---|
| 992 | else
|
---|
| 993 | for(k=0; k<maxx; k++, pe++, pea++, per++ ) *per = *pea / *pe ;
|
---|
| 994 | }
|
---|
[772] | 995 | }
|
---|
[785] | 996 | else { // Non regular data spacing ...
|
---|
[2575] | 997 | int_4 ax,axa,axr;
|
---|
[1156] | 998 | sa_size_t step, stepa;
|
---|
| 999 | sa_size_t gpas, naxa;
|
---|
[2575] | 1000 | sa_size_t stepr, stgpas;
|
---|
| 1001 | if ( !smo && smora ) { // same mem-org for a,res , different from this
|
---|
| 1002 | a.GetOpeParams(*this, smo, axa, ax, stepa, step, gpas, naxa);
|
---|
| 1003 | a.GetOpeParams(res, smo, axa, axr, stepa, stepr, gpas, naxa);
|
---|
| 1004 | stgpas = stepa;
|
---|
| 1005 | }
|
---|
| 1006 | else { // same mem-org for all, or same (this,a) OR same(this,res)
|
---|
| 1007 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
| 1008 | GetOpeParams(res, smo, ax, axr, step, stepr, gpas, naxa);
|
---|
| 1009 | stgpas = step;
|
---|
| 1010 | }
|
---|
| 1011 | // DBG cout << "DBG-A-DIVELT naxa=" << naxa << " gpas= " << gpas
|
---|
| 1012 | // << " step=" << step << " stepa=" << stepa << " stepr=" << stepr
|
---|
| 1013 | // << " ax= " << ax << " axa= " << axa << " axr= " << axr << endl;
|
---|
[813] | 1014 | for(j=0; j<naxa; j++) {
|
---|
| 1015 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
[1099] | 1016 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
[2575] | 1017 | per = res.DataBlock().Begin()+res.Offset(axr,j);
|
---|
[1072] | 1018 | if(divzero) {
|
---|
[2575] | 1019 | if (!fginv)
|
---|
| 1020 | for(k=0; k<gpas; k+=stgpas, pe+=step, pea+=stepa, per+=stepr)
|
---|
| 1021 | if (*pea==(T)0) *per = (T)0; else *per = *pe / *pea ;
|
---|
| 1022 | else
|
---|
| 1023 | for(k=0; k<gpas; k+=stgpas, pe+=step, pea+=stepa, per+=stepr)
|
---|
| 1024 | if (*pe==(T)0) *per = (T)0; else *per = *pea / *pe ;
|
---|
[1072] | 1025 | }
|
---|
[2575] | 1026 | else {
|
---|
| 1027 | if (!fginv)
|
---|
| 1028 | for(k=0; k<gpas; k+=stgpas, pe+=step, pea+=stepa, per+=stepr)
|
---|
| 1029 | *per = *pe / *pea ;
|
---|
| 1030 | else
|
---|
| 1031 | for(k=0; k<gpas; k+=stgpas, pe+=step, pea+=stepa, per+=stepr)
|
---|
| 1032 | *per = *pea / *pe ;
|
---|
| 1033 | }
|
---|
[785] | 1034 | }
|
---|
| 1035 | }
|
---|
[2575] | 1036 | return(res);
|
---|
[772] | 1037 | }
|
---|
| 1038 |
|
---|
[2575] | 1039 |
|
---|
[894] | 1040 | //! Copy elements of \b a
|
---|
[804] | 1041 | template <class T>
|
---|
| 1042 | TArray<T>& TArray<T>::CopyElt(const TArray<T>& a)
|
---|
| 1043 | {
|
---|
| 1044 | if (NbDimensions() < 1)
|
---|
| 1045 | throw RangeCheckError("TArray<T>::CopyElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[1099] | 1046 | bool smo;
|
---|
| 1047 | if (!CompareSizes(a, smo))
|
---|
[1050] | 1048 | throw(SzMismatchError("TArray<T>::CopyElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[772] | 1049 |
|
---|
[804] | 1050 | T * pe;
|
---|
| 1051 | const T * pea;
|
---|
[2575] | 1052 | sa_size_t j,k;
|
---|
[1099] | 1053 | if (smo && (AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
[1156] | 1054 | sa_size_t step = AvgStep();
|
---|
| 1055 | sa_size_t stepa = a.AvgStep();
|
---|
| 1056 | sa_size_t maxx = totsize_*step;
|
---|
[804] | 1057 | pe = Data();
|
---|
| 1058 | pea = a.Data();
|
---|
[2575] | 1059 | for(k=0; k<maxx; k+=step, pe+=step, pea+=stepa ) *pe = *pea ;
|
---|
[804] | 1060 | }
|
---|
| 1061 | else { // Non regular data spacing ...
|
---|
[1156] | 1062 | int_4 ax,axa;
|
---|
| 1063 | sa_size_t step, stepa;
|
---|
| 1064 | sa_size_t gpas, naxa;
|
---|
[1099] | 1065 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
[813] | 1066 | for(j=0; j<naxa; j++) {
|
---|
| 1067 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
[1099] | 1068 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
[2575] | 1069 | for(k=0; k<gpas; k+=step, pe+=step, pea+=stepa) *pe = *pea;
|
---|
[804] | 1070 | }
|
---|
| 1071 | }
|
---|
| 1072 | return(*this);
|
---|
| 1073 | }
|
---|
| 1074 |
|
---|
[1081] | 1075 | //! Converts and Copy elements of \b a
|
---|
| 1076 | template <class T>
|
---|
| 1077 | TArray<T>& TArray<T>::ConvertAndCopyElt(const BaseArray& a)
|
---|
| 1078 | {
|
---|
| 1079 | if (NbDimensions() < 1)
|
---|
| 1080 | throw RangeCheckError("TArray<T>::ConvertAndCopyElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[1099] | 1081 | bool smo;
|
---|
| 1082 | if (!CompareSizes(a, smo))
|
---|
[1081] | 1083 | throw(SzMismatchError("TArray<T>::ConvertAndCopyElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[804] | 1084 |
|
---|
[1081] | 1085 | T * pe;
|
---|
[1156] | 1086 | sa_size_t j,k,ka;
|
---|
| 1087 | sa_size_t offa;
|
---|
[1081] | 1088 | // Non regular data spacing ...
|
---|
[1156] | 1089 | int_4 ax,axa;
|
---|
| 1090 | sa_size_t step, stepa;
|
---|
| 1091 | sa_size_t gpas, naxa;
|
---|
[1099] | 1092 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
[1081] | 1093 | for(j=0; j<naxa; j++) {
|
---|
| 1094 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
[1099] | 1095 | offa = a.Offset(axa,j);
|
---|
[2147] | 1096 | /*
|
---|
| 1097 | Appel explicite de l'operateur de conversion
|
---|
| 1098 | suite a la suggestion de M. Reinecke, Reza 31/7/2002
|
---|
[1085] | 1099 | #if !defined(__GNUG__)
|
---|
| 1100 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = (T)a.ValueAtPosition(offa+ka);
|
---|
| 1101 | #else
|
---|
| 1102 | // g++ (up to 2.95.1) se melange les pinceaux s'il y a le cast (T) pour l'instanciation des complexes
|
---|
[1081] | 1103 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = a.ValueAtPosition(offa+ka);
|
---|
[1085] | 1104 | #endif
|
---|
[2147] | 1105 | --- Appel explicite de l'operateur de conversion sur l'objet MuTyV
|
---|
| 1106 | */
|
---|
| 1107 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa)
|
---|
| 1108 | pe[k] = a.ValueAtPosition(offa+ka).operator T();
|
---|
[1081] | 1109 | }
|
---|
| 1110 | return(*this);
|
---|
| 1111 | }
|
---|
| 1112 |
|
---|
[2575] | 1113 | //! Return the the scalar product of the two arrays (Sum_k[(*this)(k)*a(k)])
|
---|
| 1114 | template <class T>
|
---|
| 1115 | T TArray<T>::ScalarProduct(const TArray<T>& a) const
|
---|
| 1116 | {
|
---|
| 1117 | if (NbDimensions() < 1)
|
---|
| 1118 | throw RangeCheckError("TArray<T>::ScalarProduct(...) - Not allocated source array ");
|
---|
| 1119 | bool smo;
|
---|
| 1120 | if (!CompareSizes(a, smo))
|
---|
| 1121 | throw(SzMismatchError("TArray<T>::ScalarProduct(...) SizeMismatch(this,a) ")) ;
|
---|
[1081] | 1122 |
|
---|
[2575] | 1123 | T res = (T)(0);
|
---|
| 1124 | const T * pe;
|
---|
| 1125 | const T * pea;
|
---|
| 1126 | sa_size_t j,k;
|
---|
| 1127 | if (smo && (IsPacked() > 0) && (a.IsPacked() > 0)) { // regularly spaced elements
|
---|
| 1128 | sa_size_t maxx = totsize_;
|
---|
| 1129 | pe = Data();
|
---|
| 1130 | pea = a.Data();
|
---|
| 1131 | for(k=0; k<maxx; k++, pe++, pea++) res += (*pe)*(*pea);
|
---|
| 1132 | }
|
---|
| 1133 | else { // Non regular data spacing ...
|
---|
| 1134 | int_4 ax,axa;
|
---|
| 1135 | sa_size_t step, stepa;
|
---|
| 1136 | sa_size_t gpas, naxa;
|
---|
| 1137 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
| 1138 | for(j=0; j<naxa; j++) {
|
---|
| 1139 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 1140 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
| 1141 | for(k=0; k<gpas; k+=step, pe+=step, pea+=stepa) res += (*pe)*(*pea);
|
---|
| 1142 | }
|
---|
| 1143 | }
|
---|
| 1144 | return(res);
|
---|
| 1145 | }
|
---|
| 1146 |
|
---|
| 1147 |
|
---|
[804] | 1148 | // Somme et produit des elements
|
---|
[2575] | 1149 | //! Returns the sum of all array elements
|
---|
[804] | 1150 | template <class T>
|
---|
| 1151 | T TArray<T>::Sum() const
|
---|
| 1152 | {
|
---|
| 1153 | if (NbDimensions() < 1)
|
---|
| 1154 | throw RangeCheckError("TArray<T>::Sum() - Not Allocated Array ! ");
|
---|
| 1155 | T ret=0;
|
---|
| 1156 | const T * pe;
|
---|
[1156] | 1157 | sa_size_t j,k;
|
---|
[804] | 1158 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
[1156] | 1159 | sa_size_t step = AvgStep();
|
---|
| 1160 | sa_size_t maxx = totsize_*step;
|
---|
[804] | 1161 | pe = Data();
|
---|
| 1162 | for(k=0; k<maxx; k+=step ) ret += pe[k];
|
---|
| 1163 | }
|
---|
| 1164 | else { // Non regular data spacing ...
|
---|
[1156] | 1165 | int_4 ka = MaxSizeKA();
|
---|
| 1166 | sa_size_t step = Step(ka);
|
---|
| 1167 | sa_size_t gpas = Size(ka)*step;
|
---|
| 1168 | sa_size_t naxa = Size()/Size(ka);
|
---|
[813] | 1169 | for(j=0; j<naxa; j++) {
|
---|
| 1170 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[804] | 1171 | for(k=0; k<gpas; k+=step) ret += pe[k] ;
|
---|
| 1172 | }
|
---|
| 1173 | }
|
---|
| 1174 | return ret;
|
---|
| 1175 | }
|
---|
| 1176 |
|
---|
[2575] | 1177 | //! Return the product of all elements
|
---|
[804] | 1178 | template <class T>
|
---|
| 1179 | T TArray<T>::Product() const
|
---|
| 1180 | {
|
---|
| 1181 | if (NbDimensions() < 1)
|
---|
| 1182 | throw RangeCheckError("TArray<T>::Product() - Not Allocated Array ! ");
|
---|
[1113] | 1183 | T ret=(T)1;
|
---|
[804] | 1184 | const T * pe;
|
---|
[1156] | 1185 | sa_size_t j,k;
|
---|
[804] | 1186 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
[1156] | 1187 | sa_size_t step = AvgStep();
|
---|
| 1188 | sa_size_t maxx = totsize_*step;
|
---|
[804] | 1189 | pe = Data();
|
---|
| 1190 | for(k=0; k<maxx; k+=step ) ret *= pe[k];
|
---|
| 1191 | }
|
---|
| 1192 | else { // Non regular data spacing ...
|
---|
[1156] | 1193 | int_4 ka = MaxSizeKA();
|
---|
| 1194 | sa_size_t step = Step(ka);
|
---|
| 1195 | sa_size_t gpas = Size(ka)*step;
|
---|
| 1196 | sa_size_t naxa = Size()/Size(ka);
|
---|
[813] | 1197 | for(j=0; j<naxa; j++) {
|
---|
| 1198 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[804] | 1199 | for(k=0; k<gpas; k+=step) ret *= pe[k] ;
|
---|
| 1200 | }
|
---|
| 1201 | }
|
---|
| 1202 | return ret;
|
---|
| 1203 | }
|
---|
| 1204 |
|
---|
[2575] | 1205 | //! Returns the sum of all array elements squared (Sum_k((*this)(k)*(*this)(k)).
|
---|
[1113] | 1206 | template <class T>
|
---|
| 1207 | T TArray<T>::SumX2() const
|
---|
| 1208 | {
|
---|
| 1209 | if (NbDimensions() < 1)
|
---|
| 1210 | throw RangeCheckError("TArray<T>::SumX2() - Not Allocated Array ! ");
|
---|
| 1211 | T ret=0;
|
---|
| 1212 | const T * pe;
|
---|
[1156] | 1213 | sa_size_t j,k;
|
---|
[1113] | 1214 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
[1156] | 1215 | sa_size_t step = AvgStep();
|
---|
| 1216 | sa_size_t maxx = totsize_*step;
|
---|
[1113] | 1217 | pe = Data();
|
---|
| 1218 | for(k=0; k<maxx; k+=step ) ret += pe[k]*pe[k];
|
---|
| 1219 | }
|
---|
| 1220 | else { // Non regular data spacing ...
|
---|
[1156] | 1221 | int_4 ka = MaxSizeKA();
|
---|
| 1222 | sa_size_t step = Step(ka);
|
---|
| 1223 | sa_size_t gpas = Size(ka)*step;
|
---|
| 1224 | sa_size_t naxa = Size()/Size(ka);
|
---|
[1113] | 1225 | for(j=0; j<naxa; j++) {
|
---|
| 1226 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
| 1227 | for(k=0; k<gpas; k+=step) ret += pe[k]*pe[k] ;
|
---|
| 1228 | }
|
---|
| 1229 | }
|
---|
| 1230 | return ret;
|
---|
| 1231 | }
|
---|
[804] | 1232 |
|
---|
[1113] | 1233 | //! Return the minimum and the maximum values of the array elements
|
---|
| 1234 | /*!
|
---|
| 1235 | This method generates an exception (\c MathExc) if called for complex arrays
|
---|
| 1236 | */
|
---|
[2338] | 1237 |
|
---|
[1113] | 1238 | template <class T>
|
---|
| 1239 | void TArray<T>::MinMax(T& min, T& max) const
|
---|
| 1240 | {
|
---|
| 1241 | const T * pe;
|
---|
[1156] | 1242 | sa_size_t j,k;
|
---|
| 1243 | int_4 ka = MaxSizeKA();
|
---|
| 1244 | sa_size_t step = Step(ka);
|
---|
| 1245 | sa_size_t gpas = Size(ka)*step;
|
---|
| 1246 | sa_size_t naxa = Size()/Size(ka);
|
---|
[1113] | 1247 | min = (*this)[0];
|
---|
| 1248 | max = (*this)[0];
|
---|
| 1249 | for(j=0; j<naxa; j++) {
|
---|
| 1250 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
| 1251 | for(k=0; k<gpas; k+=step) {
|
---|
| 1252 | if (pe[k]<min) min = pe[k];
|
---|
| 1253 | else if (pe[k]>max) max = pe[k];
|
---|
| 1254 | }
|
---|
| 1255 | }
|
---|
| 1256 | return;
|
---|
| 1257 | }
|
---|
[804] | 1258 |
|
---|
[2338] | 1259 | DECL_TEMP_SPEC /* equivalent a template <> , pour SGI-CC en particulier */
|
---|
[1113] | 1260 | void TArray< complex<r_4> >::MinMax(complex<r_4>& min, complex<r_4>& max) const
|
---|
| 1261 | {
|
---|
| 1262 | throw MathExc("TArray< complex<r_4> >::MinMax(...) - No order in complex");
|
---|
| 1263 | }
|
---|
[2338] | 1264 | DECL_TEMP_SPEC /* equivalent a template <> , pour SGI-CC en particulier */
|
---|
[1113] | 1265 | void TArray< complex<r_8> >::MinMax(complex<r_8>& min, complex<r_8>& max) const
|
---|
| 1266 | {
|
---|
| 1267 | throw MathExc("TArray< complex<r_4> >::MinMax(...) - No order in complex");
|
---|
| 1268 | }
|
---|
| 1269 |
|
---|
[2338] | 1270 |
|
---|
[772] | 1271 | // ----------------------------------------------------
|
---|
| 1272 | // Impression, etc ...
|
---|
| 1273 | // ----------------------------------------------------
|
---|
| 1274 |
|
---|
[894] | 1275 | //! Return a string that contain the type \b T of the array
|
---|
[772] | 1276 | template <class T>
|
---|
[813] | 1277 | string TArray<T>::InfoString() const
|
---|
[772] | 1278 | {
|
---|
[813] | 1279 | string rs = "TArray<" ;
|
---|
| 1280 | rs += typeid(T).name();
|
---|
| 1281 | rs += "> ";
|
---|
[787] | 1282 | return(rs);
|
---|
[772] | 1283 | }
|
---|
| 1284 |
|
---|
[894] | 1285 | //! Print array
|
---|
| 1286 | /*!
|
---|
| 1287 | \param os : output stream
|
---|
| 1288 | \param maxprt : maximum numer of print
|
---|
| 1289 | \param si : if true, display attached DvList
|
---|
[1550] | 1290 | \param ascd : if true, suppresses the display of line numbers,
|
---|
| 1291 | suitable for ascii dump format.
|
---|
[894] | 1292 | \sa SetMaxPrint
|
---|
[1550] | 1293 | \sa WriteASCII
|
---|
[894] | 1294 | */
|
---|
[772] | 1295 | template <class T>
|
---|
[1550] | 1296 | void TArray<T>::Print(ostream& os, sa_size_t maxprt, bool si, bool ascd) const
|
---|
[772] | 1297 | {
|
---|
| 1298 | if (maxprt < 0) maxprt = max_nprt_;
|
---|
[1156] | 1299 | sa_size_t npr = 0;
|
---|
[772] | 1300 | Show(os, si);
|
---|
[850] | 1301 | if (ndim_ < 1) return;
|
---|
[1156] | 1302 | sa_size_t k0,k1,k2,k3,k4;
|
---|
[772] | 1303 | for(k4=0; k4<size_[4]; k4++) {
|
---|
[1550] | 1304 | if ((size_[4] > 1) && ascd)
|
---|
| 1305 | cout << "\n ----- Dimension 5 (U) K4= " << k4 << endl;
|
---|
[772] | 1306 | for(k3=0; k3<size_[3]; k3++) {
|
---|
[1550] | 1307 | if ((size_[3] > 1) && ascd)
|
---|
| 1308 | cout << "\n ----- Dimension 4 (T) K3= " << k3 << endl;
|
---|
[772] | 1309 | for(k2=0; k2<size_[2]; k2++) {
|
---|
[1550] | 1310 | if ((size_[2] > 1) & ascd)
|
---|
| 1311 | cout << "\n ----- Dimension 3 (Z) K2= " << k2 << endl;
|
---|
[772] | 1312 | for(k1=0; k1<size_[1]; k1++) {
|
---|
[1550] | 1313 | if ( (size_[1] > 1) && (size_[0] > 10) && ascd)
|
---|
| 1314 | cout << "----- Dimension 2 (Y) K1= " << k1 << endl;
|
---|
[772] | 1315 | for(k0=0; k0<size_[0]; k0++) {
|
---|
[1550] | 1316 | if(k0 > 0) os << " ";
|
---|
[785] | 1317 | os << Elem(k0, k1, k2, k3, k4); npr++;
|
---|
[1156] | 1318 | if (npr >= (sa_size_t) maxprt) {
|
---|
[772] | 1319 | if (npr < totsize_) os << "\n .... " << endl; return;
|
---|
| 1320 | }
|
---|
| 1321 | }
|
---|
| 1322 | os << endl;
|
---|
| 1323 | }
|
---|
| 1324 | }
|
---|
| 1325 | }
|
---|
| 1326 | }
|
---|
[813] | 1327 | os << endl;
|
---|
[772] | 1328 | }
|
---|
| 1329 |
|
---|
[1517] | 1330 | //! Fill the array, decoding the ASCII input stream
|
---|
| 1331 | /*!
|
---|
| 1332 | \param is : input stream (ASCII)
|
---|
[1558] | 1333 | \param nr : Number of non empty (or comment) lines in stream (return value)
|
---|
| 1334 | \param nc : Number of columns (= ntot/nlines) (return value)
|
---|
[2286] | 1335 | \param clm : Lines starting with clm character are treated as comment lines
|
---|
| 1336 | \param sep : word separator in lines
|
---|
[1558] | 1337 | \return Number of decoded elements
|
---|
[2286] | 1338 | */
|
---|
[1517] | 1339 | template <class T>
|
---|
[2286] | 1340 | sa_size_t TArray<T>::ReadASCII(istream& is, sa_size_t & nr, sa_size_t & nc,
|
---|
| 1341 | char clm, const char* sep)
|
---|
[1517] | 1342 | {
|
---|
[1550] | 1343 | EnumeratedSequence es;
|
---|
[2286] | 1344 | sa_size_t n = es.FillFromFile(is, nr, nc, clm, sep);
|
---|
[1558] | 1345 | if ( (n < 1) || (nr < 1) || (nc < 1) ) return(n);
|
---|
| 1346 | if (!IsAllocated()) {
|
---|
| 1347 | sa_size_t sz[2];
|
---|
| 1348 | if (arrtype_ == 2) { // C'est un vecteur
|
---|
| 1349 | sz[0] = sz[1] = 1;
|
---|
| 1350 | sz[veceli_] = n;
|
---|
| 1351 | }
|
---|
| 1352 | else {
|
---|
| 1353 | sz[RowsKA()] = nr;
|
---|
| 1354 | sz[ColsKA()] = nc;
|
---|
| 1355 | }
|
---|
| 1356 | ReSize(2, sz);
|
---|
| 1357 | }
|
---|
| 1358 | SetSeq(es);
|
---|
| 1359 | cout << "TArray<T>::ReadASCII()/Info: " << n << " elements read from stream "
|
---|
| 1360 | << " (Row,Col= " << nr << "," << nc << ")" << endl;
|
---|
| 1361 | return(n);
|
---|
[1517] | 1362 | }
|
---|
[772] | 1363 |
|
---|
[1517] | 1364 | //! Writes the array content to the output stream, (in ASCII)
|
---|
| 1365 | /*!
|
---|
| 1366 | \param os : output stream (ASCII)
|
---|
[1558] | 1367 | \sa Print
|
---|
[1517] | 1368 | */
|
---|
| 1369 | template <class T>
|
---|
| 1370 | void TArray<T>::WriteASCII(ostream& os) const
|
---|
| 1371 | {
|
---|
[1550] | 1372 | Print(os, Size(), false, true);
|
---|
[1517] | 1373 | }
|
---|
[772] | 1374 |
|
---|
[1517] | 1375 |
|
---|
| 1376 |
|
---|
[772] | 1377 | ///////////////////////////////////////////////////////////////
|
---|
| 1378 | ///////////////////////////////////////////////////////////////
|
---|
| 1379 | #ifdef __CXX_PRAGMA_TEMPLATES__
|
---|
[804] | 1380 | /*
|
---|
[772] | 1381 | #pragma define_template TArray<uint_1>
|
---|
[804] | 1382 | #pragma define_template TArray<int_2>
|
---|
| 1383 | #pragma define_template TArray<uint_4>
|
---|
| 1384 | */
|
---|
[772] | 1385 | #pragma define_template TArray<uint_2>
|
---|
[1543] | 1386 | #pragma define_template TArray<uint_8>
|
---|
[772] | 1387 | #pragma define_template TArray<int_4>
|
---|
| 1388 | #pragma define_template TArray<int_8>
|
---|
| 1389 | #pragma define_template TArray<r_4>
|
---|
| 1390 | #pragma define_template TArray<r_8>
|
---|
| 1391 | #pragma define_template TArray< complex<r_4> >
|
---|
| 1392 | #pragma define_template TArray< complex<r_8> >
|
---|
| 1393 | #endif
|
---|
| 1394 |
|
---|
| 1395 | #if defined(ANSI_TEMPLATES) || defined(GNU_TEMPLATES)
|
---|
[804] | 1396 | /*
|
---|
| 1397 | template class TArray<uint_1>;
|
---|
| 1398 | template class TArray<int_2>;
|
---|
| 1399 | template class TArray<uint_4>;
|
---|
| 1400 | */
|
---|
[772] | 1401 | template class TArray<uint_2>;
|
---|
[1543] | 1402 | template class TArray<uint_8>;
|
---|
[772] | 1403 | template class TArray<int_4>;
|
---|
| 1404 | template class TArray<int_8>;
|
---|
| 1405 | template class TArray<r_4>;
|
---|
| 1406 | template class TArray<r_8>;
|
---|
| 1407 | template class TArray< complex<r_4> >;
|
---|
| 1408 | template class TArray< complex<r_8> >;
|
---|
| 1409 | #endif
|
---|
| 1410 |
|
---|
| 1411 |
|
---|