[772] | 1 | // template array class for numerical types
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| 2 | // R. Ansari, C.Magneville 03/2000
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| 3 |
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| 4 | #include "machdefs.h"
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| 5 | #include <stdio.h>
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| 6 | #include <stdlib.h>
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[922] | 7 | #include <math.h>
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[772] | 8 | #include "pexceptions.h"
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| 9 | #include "tarray.h"
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| 10 |
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[926] | 11 | /*!
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| 12 | \class SOPHYA::TArray
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| 13 | \ingroup TArray
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| 14 | Class for template arrays
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[772] | 15 |
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[926] | 16 | This class implements arrays of dimensions up to
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| 17 | \ref BASEARRAY_MAXNDIMS "BASEARRAY_MAXNDIMS"
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| 18 | */
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[772] | 19 |
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| 20 | // -------------------------------------------------------
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| 21 | // Methodes de la classe
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| 22 | // -------------------------------------------------------
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| 23 |
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[894] | 24 | ////////////////////////// Les constructeurs / destructeurs
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| 25 |
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| 26 | //! Default constructor
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[772] | 27 | template <class T>
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| 28 | TArray<T>::TArray()
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[804] | 29 | : BaseArray() , mNDBlock()
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[772] | 30 | {
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| 31 | }
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| 32 |
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[894] | 33 | //! Constructor
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| 34 | /*!
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| 35 | \param ndim : number of dimensions (less or equal to
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| 36 | \ref BASEARRAY_MAXNDIMS "BASEARRAY_MAXNDIMS")
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| 37 | \param siz[ndim] : size along each dimension
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| 38 | \param step : step (same for all dimensions)
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| 39 | */
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[772] | 40 | template <class T>
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[804] | 41 | TArray<T>::TArray(uint_4 ndim, const uint_4 * siz, uint_4 step)
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| 42 | : BaseArray() , mNDBlock(ComputeTotalSize(ndim, siz, step, 1))
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[772] | 43 | {
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| 44 | string exmsg = "TArray<T>::TArray(uint_4, uint_4 *, uint_4)";
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| 45 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
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| 46 | }
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| 47 |
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[894] | 48 | //! Constructor
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| 49 | /*!
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| 50 | \param nx,ny,nz,nt,nu : sizes along first, second, third, fourth and fifth dimension
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| 51 | */
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[772] | 52 | template <class T>
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[804] | 53 | TArray<T>::TArray(uint_4 nx, uint_4 ny, uint_4 nz, uint_4 nt, uint_4 nu)
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| 54 | : BaseArray() , mNDBlock(nx*((ny>0)?ny:1)*((nz>0)?nz:1)*((nt>0)?nt:1)*((nu>0)?nu:1))
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[772] | 55 | {
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[787] | 56 | uint_4 size[BASEARRAY_MAXNDIMS];
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[772] | 57 | size[0] = nx; size[1] = ny; size[2] = nz;
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[804] | 58 | size[3] = nt; size[4] = nu;
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[772] | 59 | int ndim = 1;
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[804] | 60 | if ((size[1] > 0) && (size[2] > 0) && (size[3] > 0) && (size[4] > 0) ) ndim = 5;
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| 61 | else if ((size[1] > 0) && (size[2] > 0) && (size[3] > 0) ) ndim = 4;
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| 62 | else if ((size[1] > 0) && (size[2] > 0)) ndim = 3;
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[772] | 63 | else if (size[1] > 0) ndim = 2;
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| 64 | else ndim = 1;
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| 65 | string exmsg = "TArray<T>::TArray(uint_4, uint_4, uint_4)";
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| 66 | if (!UpdateSizes(ndim, size, 1, 0, exmsg)) throw( ParmError(exmsg) );
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| 67 | }
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| 68 |
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[894] | 69 | //! Constructor
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| 70 | /*!
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| 71 | \param ndim : number of dimensions
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| 72 | \param siz[ndim] : size along each dimension
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| 73 | \param db : datas are given by this NDataBlock
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| 74 | \param share : if true, data are shared, if false they are copied
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| 75 | \param step : step (same for all dimensions) in data block
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| 76 | \param offset : offset for first element in data block
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| 77 | */
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[772] | 78 | template <class T>
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[804] | 79 | TArray<T>::TArray(uint_4 ndim, const uint_4 * siz, NDataBlock<T> & db, bool share, uint_4 step, uint_8 offset)
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| 80 | : BaseArray() , mNDBlock(db, share)
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[772] | 81 | {
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| 82 | string exmsg = "TArray<T>::TArray(uint_4, uint_4 *, NDataBlock<T> & ... )";
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| 83 | if (!UpdateSizes(ndim, siz, step, offset, exmsg)) throw( ParmError(exmsg) );
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| 84 |
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| 85 | }
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| 86 |
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[894] | 87 | //! Constructor
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| 88 | /*!
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| 89 | \param ndim : number of dimensions
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| 90 | \param siz[ndim] : size along each dimension
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| 91 | \param values : datas are given by this pointer
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| 92 | \param share : if true, data are shared, if false they are copied
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| 93 | \param step : step (same for all dimensions) in data block
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| 94 | \param offset : offset for first element in data block
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| 95 | \param br : if not NULL, dats are bridge with other datas
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| 96 | \sa NDataBlock
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| 97 | */
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[772] | 98 | template <class T>
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[804] | 99 | TArray<T>::TArray(uint_4 ndim, const uint_4 * siz, T* values, uint_4 step, uint_8 offset, Bridge* br)
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| 100 | : BaseArray() , mNDBlock(ComputeTotalSize(ndim, siz, step, 1), values, br)
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[772] | 101 | {
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| 102 | string exmsg = "TArray<T>::TArray(uint_4, uint_4 *, T* ... )";
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| 103 | if (!UpdateSizes(ndim, siz, step, offset, exmsg)) throw( ParmError(exmsg) );
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| 104 | }
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| 105 |
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[894] | 106 | //! Constructor by copy
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[967] | 107 | /*! \sa NDataBlock::NDataBlock(const NDataBlock<T>&) */
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[772] | 108 | template <class T>
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| 109 | TArray<T>::TArray(const TArray<T>& a)
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[804] | 110 | : BaseArray() , mNDBlock(a.mNDBlock)
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[772] | 111 | {
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| 112 | string exmsg = "TArray<T>::TArray(const TArray<T>&)";
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| 113 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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| 114 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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| 115 | }
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| 116 |
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[894] | 117 | //! Constructor by copy
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| 118 | /*!
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| 119 | \param share : if true, data are shared, if false they are copied
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| 120 | */
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[772] | 121 | template <class T>
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| 122 | TArray<T>::TArray(const TArray<T>& a, bool share)
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[804] | 123 | : BaseArray() , mNDBlock(a.mNDBlock, share)
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[772] | 124 | {
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| 125 | string exmsg = "TArray<T>::TArray(const TArray<T>&, bool)";
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| 126 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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| 127 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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| 128 | }
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| 129 |
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[894] | 130 | //! Destructor
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[772] | 131 | template <class T>
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| 132 | TArray<T>::~TArray()
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| 133 | {
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| 134 | }
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| 135 |
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[894] | 136 | ////////////////////////// Les methodes de copie/share
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| 137 |
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| 138 | //! Set array equal to \b a and return *this
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[772] | 139 | template <class T>
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[804] | 140 | TArray<T>& TArray<T>::Set(const TArray<T>& a)
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[772] | 141 | {
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| 142 | if (this != &a) {
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| 143 | CloneOrShare(a);
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[894] | 144 | if (mInfo) {delete mInfo; mInfo = NULL;}
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[772] | 145 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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| 146 | }
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| 147 | return(*this);
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| 148 | }
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| 149 |
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[894] | 150 | //! Clone array \b a
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[772] | 151 | template <class T>
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| 152 | void TArray<T>::Clone(const TArray<T>& a)
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| 153 | {
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| 154 | string exmsg = "TArray<T>::Clone()";
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| 155 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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| 156 | mNDBlock.Clone(a.mNDBlock);
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[894] | 157 | if (mInfo) {delete mInfo; mInfo = NULL;}
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[772] | 158 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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| 159 | }
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| 160 |
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[894] | 161 | //! Resize array
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| 162 | /*!
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| 163 | \param ndim : number of dimensions
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| 164 | \param siz[ndim] : size along each dimension
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| 165 | \param step : step (same for all dimensions)
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| 166 | */
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[772] | 167 | template <class T>
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| 168 | void TArray<T>::ReSize(uint_4 ndim, uint_4 * siz, uint_4 step)
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| 169 | {
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| 170 | string exmsg = "TArray<T>::ReSize()";
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| 171 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
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| 172 | mNDBlock.ReSize(totsize_);
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| 173 | }
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| 174 |
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[894] | 175 | //! Re-allocate space for array
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| 176 | /*!
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| 177 | \param ndim : number of dimensions
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| 178 | \param siz[ndim] : size along each dimension
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| 179 | \param step : step (same for all dimensions)
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| 180 | \param force : if true re-allocation is forced, if not it occurs
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| 181 | only if the required space is greater than the old one.
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| 182 | */
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[772] | 183 | template <class T>
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| 184 | void TArray<T>::Realloc(uint_4 ndim, uint_4 * siz, uint_4 step, bool force)
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| 185 | {
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| 186 | string exmsg = "TArray<T>::Realloc()";
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| 187 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
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| 188 | mNDBlock.ReSize(totsize_);
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| 189 | }
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| 190 |
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[787] | 191 |
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[894] | 192 | //! Compact dimensions in one or more is equal to 1.
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[772] | 193 | template <class T>
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[787] | 194 | TArray<T>& TArray<T>::CompactAllDimensions()
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[772] | 195 | {
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[787] | 196 | CompactAllDim();
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| 197 | return(*this);
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[772] | 198 | }
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| 199 |
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[894] | 200 | //! Compact dimensions if the last one is equal to 1.
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[785] | 201 | template <class T>
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[787] | 202 | TArray<T>& TArray<T>::CompactTrailingDimensions()
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[785] | 203 | {
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[787] | 204 | CompactTrailingDim();
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[785] | 205 | return(*this);
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| 206 | }
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| 207 |
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[922] | 208 | inline double _SqrtRz_(double x) { return sqrt(x); } // Pb avec SGI-CC - $CHECK$ - Reza 04/2000
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| 209 |
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[894] | 210 | //! Give value (in \b double) for element at position \b ip..
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[785] | 211 | template <class T>
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[787] | 212 | double TArray<T>::ValueAtPosition(uint_8 ip) const
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[785] | 213 | {
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[787] | 214 | #ifdef SO_BOUNDCHECKING
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| 215 | if (ip >= totsize_) throw( ParmError("TArray<T>::ValueAtPosition(uint_8 ip) Out-of-bound Error") );
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| 216 | #endif
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| 217 | return( (double)(*(mNDBlock.Begin()+Offset(ip))) );
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[785] | 218 | }
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| 219 |
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[894] | 220 | //! Give value (in \b double) for element at position \b ip..
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| 221 | /*!
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| 222 | For complex values, we return the module of the complex number
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| 223 | */
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[787] | 224 | double TArray< complex<r_4> >::ValueAtPosition(uint_8 ip) const
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[785] | 225 | {
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[787] | 226 | #ifdef SO_BOUNDCHECKING
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| 227 | if (ip >= totsize_) throw( ParmError("TArray<T>::ValueAtPosition(uint_8 ip) Out-of-bound Error") );
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| 228 | #endif
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| 229 | complex<r_4> c = *(mNDBlock.Begin()+Offset(ip));
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| 230 | double cr = (double)(c.real());
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| 231 | double ci = (double)(c.imag());
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[922] | 232 | return( _SqrtRz_(cr*cr+ci*ci) );
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[785] | 233 | }
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| 234 |
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[894] | 235 | //! Give value (in \b double) for element at position \b ip..
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| 236 | /*!
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| 237 | For complex values, we return the module of the complex number
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| 238 | */
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[787] | 239 | double TArray< complex<r_8> >::ValueAtPosition(uint_8 ip) const
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[785] | 240 | {
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[787] | 241 | #ifdef SO_BOUNDCHECKING
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| 242 | if (ip >= totsize_) throw( ParmError("TArray<T>::ValueAtPosition(uint_8 ip) Out-of-bound Error") );
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| 243 | #endif
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| 244 | complex<r_8> c = *(mNDBlock.Begin()+Offset(ip));
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| 245 | double cr = (double)(c.real());
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| 246 | double ci = (double)(c.imag());
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[922] | 247 | return( _SqrtRz_(cr*cr+ci*ci) );
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[785] | 248 | }
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| 249 |
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[894] | 250 | //! Return array with elements packed
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| 251 | /*!
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| 252 | \param force : if true, pack elements in a new array.
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| 253 | If false and array is already packed, return
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| 254 | an array that share data with the current one.
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| 255 | \return packed array
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| 256 | */
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[804] | 257 | template <class T>
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| 258 | TArray<T> TArray<T>::PackElements(bool force) const
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| 259 | {
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| 260 | if (NbDimensions() < 1)
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| 261 | throw RangeCheckError("TArray<T>::PackElements() - Not Allocated Array ! ");
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| 262 | if ( !force && (AvgStep() == 1) ) {
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| 263 | TArray<T> ra(*this, true);
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| 264 | ra.SetTemp(true);
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| 265 | return(ra);
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| 266 | }
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| 267 | else {
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| 268 | TArray<T> ra(ndim_, size_, 1);
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| 269 | ra.CopyElt(*this);
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| 270 | ra.SetTemp(true);
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| 271 | return(ra);
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| 272 | }
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| 273 | }
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| 274 |
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[785] | 275 | // SubArrays
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[804] | 276 | // $CHECK$ Reza 03/2000 Doit-on declarer cette methode const ?
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[894] | 277 | //! Extract a sub-array
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| 278 | /*!
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| 279 | \param rx,ry,rz,rt,ru : range of extraction along dimensions
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| 280 | \sa Range
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| 281 | */
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[785] | 282 | template <class T>
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[804] | 283 | TArray<T> TArray<T>::SubArray(Range rx, Range ry, Range rz, Range rt, Range ru) const
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[785] | 284 | {
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[804] | 285 | if (NbDimensions() < 1)
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| 286 | throw RangeCheckError("TArray<T>::operator () (Range, ...) - Not Allocated Array ! ");
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[785] | 287 | uint_4 ndim = 0;
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[787] | 288 | uint_4 size[BASEARRAY_MAXNDIMS];
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| 289 | uint_4 step[BASEARRAY_MAXNDIMS];
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| 290 | uint_4 pos[BASEARRAY_MAXNDIMS];
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[785] | 291 | size[0] = rx.Size();
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| 292 | size[1] = ry.Size();
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| 293 | size[2] = rz.Size();
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| 294 | size[3] = rt.Size();
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| 295 | size[4] = ru.Size();
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| 296 |
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| 297 | step[0] = rx.Step();
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| 298 | step[1] = ry.Step();
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| 299 | step[2] = rz.Step();
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| 300 | step[3] = rt.Step();
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| 301 | step[4] = ru.Step();
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| 302 |
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| 303 | pos[0] = rx.Start();
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| 304 | pos[1] = ry.Start();
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| 305 | pos[2] = rz.Start();
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| 306 | pos[3] = rt.Start();
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| 307 | pos[4] = ru.Start();
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| 308 |
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| 309 | ndim = ndim_;
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| 310 | TArray<T> ra;
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[804] | 311 | UpdateSubArraySizes(ra, ndim, size, pos, step);
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[787] | 312 | ra.DataBlock().Share(this->DataBlock());
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[785] | 313 | ra.SetTemp(true);
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| 314 | return(ra);
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| 315 | }
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| 316 |
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[772] | 317 | // ...... Operation de calcul sur les tableaux ......
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| 318 | // ------- Attention --------
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| 319 | // Boucles normales prenant en compte les steps ....
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[894] | 320 | // Possibilite de // , vectorisation
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| 321 |
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| 322 | //! Fill TArray with Sequence \b seq
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| 323 | /*!
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| 324 | \param seq : sequence to fill the array
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| 325 | \sa Sequence
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| 326 | */
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[772] | 327 | template <class T>
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[813] | 328 | TArray<T>& TArray<T>::SetSeq(Sequence seq)
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[772] | 329 | {
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[804] | 330 | if (NbDimensions() < 1)
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[813] | 331 | throw RangeCheckError("TArray<T>::SetSeq(Sequence ) - Not Allocated Array ! ");
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[785] | 332 | T * pe;
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| 333 | uint_8 j,k;
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| 334 | if (AvgStep() > 0) { // regularly spaced elements
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| 335 | uint_8 step = AvgStep();
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| 336 | pe = Data();
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[958] | 337 | for(k=0; k<totsize_; k++ ) pe[k*step] = (T) seq(k);
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[785] | 338 | }
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| 339 | else { // Non regular data spacing ...
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[813] | 340 | // uint_4 ka = MaxSizeKA();
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| 341 | uint_4 ka = 0;
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[785] | 342 | uint_8 step = Step(ka);
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| 343 | uint_8 gpas = Size(ka);
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[813] | 344 | uint_8 naxa = Size()/Size(ka);
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| 345 | for(j=0; j<naxa; j++) {
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| 346 | pe = mNDBlock.Begin()+Offset(ka,j);
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[958] | 347 | for(k=0; k<gpas; k++) pe[k*step] = (T) seq(j*gpas+k);
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[785] | 348 | }
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| 349 | }
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[772] | 350 | return(*this);
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| 351 | }
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| 352 |
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| 353 | // >>>> Operations avec 2nd membre de type scalaire
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| 354 |
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[894] | 355 | //! Fill an array with a constant value \b x
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[772] | 356 | template <class T>
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[813] | 357 | TArray<T>& TArray<T>::SetT(T x)
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[772] | 358 | {
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[804] | 359 | if (NbDimensions() < 1)
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[813] | 360 | throw RangeCheckError("TArray<T>::SetT(T ) - Not Allocated Array ! ");
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[785] | 361 | T * pe;
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| 362 | uint_8 j,k;
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| 363 | if (AvgStep() > 0) { // regularly spaced elements
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| 364 | uint_8 step = AvgStep();
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| 365 | uint_8 maxx = totsize_*step;
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| 366 | pe = Data();
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| 367 | for(k=0; k<maxx; k+=step ) pe[k] = x;
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| 368 | }
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| 369 | else { // Non regular data spacing ...
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| 370 | uint_4 ka = MaxSizeKA();
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| 371 | uint_8 step = Step(ka);
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| 372 | uint_8 gpas = Size(ka)*step;
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[813] | 373 | uint_8 naxa = Size()/Size(ka);
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| 374 | for(j=0; j<naxa; j++) {
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| 375 | pe = mNDBlock.Begin()+Offset(ka,j);
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[785] | 376 | for(k=0; k<gpas; k+=step) pe[k] = x;
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| 377 | }
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| 378 | }
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[772] | 379 | return(*this);
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| 380 | }
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| 381 |
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[894] | 382 | //! Add a constant value \b x to an array
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[772] | 383 | template <class T>
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[804] | 384 | TArray<T>& TArray<T>::Add(T x)
|
---|
[772] | 385 | {
|
---|
[804] | 386 | if (NbDimensions() < 1)
|
---|
| 387 | throw RangeCheckError("TArray<T>::Add(T ) - Not Allocated Array ! ");
|
---|
[785] | 388 | T * pe;
|
---|
| 389 | uint_8 j,k;
|
---|
| 390 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 391 | uint_8 step = AvgStep();
|
---|
| 392 | uint_8 maxx = totsize_*step;
|
---|
| 393 | pe = Data();
|
---|
| 394 | for(k=0; k<maxx; k+=step ) pe[k] += x;
|
---|
| 395 | }
|
---|
| 396 | else { // Non regular data spacing ...
|
---|
| 397 | uint_4 ka = MaxSizeKA();
|
---|
| 398 | uint_8 step = Step(ka);
|
---|
| 399 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 400 | uint_8 naxa = Size()/Size(ka);
|
---|
| 401 | for(j=0; j<naxa; j++) {
|
---|
| 402 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[785] | 403 | for(k=0; k<gpas; k+=step) pe[k] += x;
|
---|
| 404 | }
|
---|
| 405 | }
|
---|
[772] | 406 | return(*this);
|
---|
| 407 | }
|
---|
| 408 |
|
---|
[894] | 409 | //! Substract a constant value \b x to an array
|
---|
[772] | 410 | template <class T>
|
---|
[804] | 411 | TArray<T>& TArray<T>::Sub(T x)
|
---|
[772] | 412 | {
|
---|
[804] | 413 | if (NbDimensions() < 1)
|
---|
| 414 | throw RangeCheckError("TArray<T>::Sub(T ) - Not Allocated Array ! ");
|
---|
[785] | 415 | T * pe;
|
---|
| 416 | uint_8 j,k;
|
---|
| 417 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 418 | uint_8 step = AvgStep();
|
---|
| 419 | uint_8 maxx = totsize_*step;
|
---|
| 420 | pe = Data();
|
---|
| 421 | for(k=0; k<maxx; k+=step ) pe[k] -= x;
|
---|
| 422 | }
|
---|
| 423 | else { // Non regular data spacing ...
|
---|
| 424 | uint_4 ka = MaxSizeKA();
|
---|
| 425 | uint_8 step = Step(ka);
|
---|
| 426 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 427 | uint_8 naxa = Size()/Size(ka);
|
---|
| 428 | for(j=0; j<naxa; j++) {
|
---|
| 429 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[785] | 430 | for(k=0; k<gpas; k+=step) pe[k] -= x;
|
---|
| 431 | }
|
---|
| 432 | }
|
---|
[772] | 433 | return(*this);
|
---|
| 434 | }
|
---|
| 435 |
|
---|
[894] | 436 | //! Multiply an array by a constant value \b x
|
---|
[772] | 437 | template <class T>
|
---|
[804] | 438 | TArray<T>& TArray<T>::Mul(T x)
|
---|
[772] | 439 | {
|
---|
[804] | 440 | if (NbDimensions() < 1)
|
---|
| 441 | throw RangeCheckError("TArray<T>::Mul(T ) - Not Allocated Array ! ");
|
---|
[785] | 442 | T * pe;
|
---|
| 443 | uint_8 j,k;
|
---|
| 444 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 445 | uint_8 step = AvgStep();
|
---|
| 446 | uint_8 maxx = totsize_*step;
|
---|
| 447 | pe = Data();
|
---|
| 448 | for(k=0; k<maxx; k+=step ) pe[k] *= x;
|
---|
| 449 | }
|
---|
| 450 | else { // Non regular data spacing ...
|
---|
| 451 | uint_4 ka = MaxSizeKA();
|
---|
| 452 | uint_8 step = Step(ka);
|
---|
| 453 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 454 | uint_8 naxa = Size()/Size(ka);
|
---|
| 455 | for(j=0; j<naxa; j++) {
|
---|
| 456 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[785] | 457 | for(k=0; k<gpas; k+=step) pe[k] *= x;
|
---|
| 458 | }
|
---|
| 459 | }
|
---|
[772] | 460 | return(*this);
|
---|
| 461 | }
|
---|
| 462 |
|
---|
[894] | 463 | //! Divide an array by a constant value \b x
|
---|
[772] | 464 | template <class T>
|
---|
[804] | 465 | TArray<T>& TArray<T>::Div(T x)
|
---|
[772] | 466 | {
|
---|
[804] | 467 | if (NbDimensions() < 1)
|
---|
| 468 | throw RangeCheckError("TArray<T>::Div(T ) - Not Allocated Array ! ");
|
---|
[894] | 469 | if (x == (T) 0 )
|
---|
| 470 | throw MathExc("TArray<T>::Div(T ) - Divide by zero ! ");
|
---|
[785] | 471 | T * pe;
|
---|
| 472 | uint_8 j,k;
|
---|
| 473 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 474 | uint_8 step = AvgStep();
|
---|
| 475 | uint_8 maxx = totsize_*step;
|
---|
| 476 | pe = Data();
|
---|
| 477 | for(k=0; k<maxx; k+=step ) pe[k] /= x;
|
---|
| 478 | }
|
---|
| 479 | else { // Non regular data spacing ...
|
---|
| 480 | uint_4 ka = MaxSizeKA();
|
---|
| 481 | uint_8 step = Step(ka);
|
---|
| 482 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 483 | uint_8 naxa = Size()/Size(ka);
|
---|
| 484 | for(j=0; j<naxa; j++) {
|
---|
| 485 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[785] | 486 | for(k=0; k<gpas; k+=step) pe[k] /= x;
|
---|
| 487 | }
|
---|
| 488 | }
|
---|
[772] | 489 | return(*this);
|
---|
| 490 | }
|
---|
| 491 |
|
---|
| 492 |
|
---|
[894] | 493 | //! Inverse substract : A = \b x - A
|
---|
[804] | 494 | template <class T>
|
---|
| 495 | TArray<T>& TArray<T>::SubInv(T x)
|
---|
| 496 | {
|
---|
| 497 | if (NbDimensions() < 1)
|
---|
| 498 | throw RangeCheckError("TArray<T>::SubInv(T ) - Not Allocated Array ! ");
|
---|
| 499 | T * pe;
|
---|
| 500 | uint_8 j,k;
|
---|
| 501 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 502 | uint_8 step = AvgStep();
|
---|
| 503 | uint_8 maxx = totsize_*step;
|
---|
| 504 | pe = Data();
|
---|
| 505 | for(k=0; k<maxx; k+=step ) pe[k] = x-pe[k];
|
---|
| 506 | }
|
---|
| 507 | else { // Non regular data spacing ...
|
---|
| 508 | uint_4 ka = MaxSizeKA();
|
---|
| 509 | uint_8 step = Step(ka);
|
---|
| 510 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 511 | uint_8 naxa = Size()/Size(ka);
|
---|
| 512 | for(j=0; j<naxa; j++) {
|
---|
| 513 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[804] | 514 | for(k=0; k<gpas; k+=step) pe[k] = x-pe[k];
|
---|
| 515 | }
|
---|
| 516 | }
|
---|
| 517 | return(*this);
|
---|
| 518 | }
|
---|
| 519 |
|
---|
[894] | 520 | //! Inverse Divide : A(i,j,...) = x / A(i,j,...)
|
---|
[804] | 521 | template <class T>
|
---|
| 522 | TArray<T>& TArray<T>::DivInv(T x)
|
---|
| 523 | {
|
---|
| 524 | if (NbDimensions() < 1)
|
---|
| 525 | throw RangeCheckError("TArray<T>::DivInv(T ) - Not Allocated Array ! ");
|
---|
| 526 | T * pe;
|
---|
| 527 | uint_8 j,k;
|
---|
| 528 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 529 | uint_8 step = AvgStep();
|
---|
| 530 | uint_8 maxx = totsize_*step;
|
---|
| 531 | pe = Data();
|
---|
| 532 | for(k=0; k<maxx; k+=step ) pe[k] = x/pe[k];
|
---|
| 533 | }
|
---|
| 534 | else { // Non regular data spacing ...
|
---|
| 535 | uint_4 ka = MaxSizeKA();
|
---|
| 536 | uint_8 step = Step(ka);
|
---|
| 537 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 538 | uint_8 naxa = Size()/Size(ka);
|
---|
| 539 | for(j=0; j<naxa; j++) {
|
---|
| 540 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[804] | 541 | for(k=0; k<gpas; k+=step) pe[k] = x/pe[k];
|
---|
| 542 | }
|
---|
| 543 | }
|
---|
| 544 | return(*this);
|
---|
| 545 | }
|
---|
| 546 |
|
---|
| 547 |
|
---|
[772] | 548 | // >>>> Operations avec 2nd membre de type tableau
|
---|
[894] | 549 | //! Add two TArrays
|
---|
[772] | 550 | template <class T>
|
---|
[804] | 551 | TArray<T>& TArray<T>::AddElt(const TArray<T>& a)
|
---|
[772] | 552 | {
|
---|
[804] | 553 | if (NbDimensions() < 1)
|
---|
| 554 | throw RangeCheckError("TArray<T>::AddElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[813] | 555 | if (!CompareSizes(a))
|
---|
| 556 | throw(SzMismatchError("TArray<T>::AddElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[785] | 557 |
|
---|
| 558 | T * pe;
|
---|
| 559 | const T * pea;
|
---|
| 560 | uint_8 j,k,ka;
|
---|
| 561 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
| 562 | uint_8 step = AvgStep();
|
---|
| 563 | uint_8 stepa = a.AvgStep();
|
---|
| 564 | uint_8 maxx = totsize_*step;
|
---|
| 565 | pe = Data();
|
---|
| 566 | pea = a.Data();
|
---|
| 567 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] += pea[ka] ;
|
---|
[772] | 568 | }
|
---|
[785] | 569 | else { // Non regular data spacing ...
|
---|
| 570 | uint_4 ax = MaxSizeKA();
|
---|
| 571 | uint_8 step = Step(ax);
|
---|
| 572 | uint_8 stepa = a.Step(ax);
|
---|
| 573 | uint_8 gpas = Size(ax)*step;
|
---|
[813] | 574 | uint_8 naxa = Size()/Size(ax);
|
---|
| 575 | for(j=0; j<naxa; j++) {
|
---|
| 576 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 577 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
[785] | 578 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] += pea[ka];
|
---|
| 579 | }
|
---|
| 580 | }
|
---|
[772] | 581 | return(*this);
|
---|
| 582 | }
|
---|
| 583 |
|
---|
[894] | 584 | //! Substract two TArrays
|
---|
[772] | 585 | template <class T>
|
---|
[804] | 586 | TArray<T>& TArray<T>::SubElt(const TArray<T>& a)
|
---|
[772] | 587 | {
|
---|
[804] | 588 | if (NbDimensions() < 1)
|
---|
| 589 | throw RangeCheckError("TArray<T>::SubElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[813] | 590 | if (!CompareSizes(a))
|
---|
| 591 | throw(SzMismatchError("TArray<T>::SubElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[785] | 592 |
|
---|
| 593 | T * pe;
|
---|
| 594 | const T * pea;
|
---|
| 595 | uint_8 j,k,ka;
|
---|
| 596 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
| 597 | uint_8 step = AvgStep();
|
---|
| 598 | uint_8 stepa = a.AvgStep();
|
---|
| 599 | uint_8 maxx = totsize_*step;
|
---|
| 600 | pe = Data();
|
---|
| 601 | pea = a.Data();
|
---|
| 602 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] -= pea[ka] ;
|
---|
[772] | 603 | }
|
---|
[785] | 604 | else { // Non regular data spacing ...
|
---|
| 605 | uint_4 ax = MaxSizeKA();
|
---|
| 606 | uint_8 step = Step(ax);
|
---|
| 607 | uint_8 stepa = a.Step(ax);
|
---|
| 608 | uint_8 gpas = Size(ax)*step;
|
---|
[813] | 609 | uint_8 naxa = Size()/Size(ax);
|
---|
| 610 | for(j=0; j<naxa; j++) {
|
---|
| 611 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 612 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
[785] | 613 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] -= pea[ka];
|
---|
| 614 | }
|
---|
| 615 | }
|
---|
[772] | 616 | return(*this);
|
---|
| 617 | }
|
---|
| 618 |
|
---|
[894] | 619 | //! Multiply two TArrays (elements by elements)
|
---|
[772] | 620 | template <class T>
|
---|
[804] | 621 | TArray<T>& TArray<T>::MulElt(const TArray<T>& a)
|
---|
[772] | 622 | {
|
---|
[804] | 623 | if (NbDimensions() < 1)
|
---|
| 624 | throw RangeCheckError("TArray<T>::MulElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[813] | 625 | if (!CompareSizes(a))
|
---|
| 626 | throw(SzMismatchError("TArray<T>::MulElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[785] | 627 |
|
---|
| 628 | T * pe;
|
---|
| 629 | const T * pea;
|
---|
| 630 | uint_8 j,k,ka;
|
---|
| 631 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
| 632 | uint_8 step = AvgStep();
|
---|
| 633 | uint_8 stepa = a.AvgStep();
|
---|
| 634 | uint_8 maxx = totsize_*step;
|
---|
| 635 | pe = Data();
|
---|
| 636 | pea = a.Data();
|
---|
| 637 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] *= pea[ka] ;
|
---|
[772] | 638 | }
|
---|
[785] | 639 | else { // Non regular data spacing ...
|
---|
| 640 | uint_4 ax = MaxSizeKA();
|
---|
| 641 | uint_8 step = Step(ax);
|
---|
| 642 | uint_8 stepa = a.Step(ax);
|
---|
| 643 | uint_8 gpas = Size(ax)*step;
|
---|
[813] | 644 | uint_8 naxa = Size()/Size(ax);
|
---|
| 645 | for(j=0; j<naxa; j++) {
|
---|
| 646 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 647 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
[785] | 648 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] *= pea[ka];
|
---|
| 649 | }
|
---|
| 650 | }
|
---|
[772] | 651 | return(*this);
|
---|
| 652 | }
|
---|
| 653 |
|
---|
[804] | 654 |
|
---|
[894] | 655 | //! Divide two TArrays (elements by elements)
|
---|
[772] | 656 | template <class T>
|
---|
| 657 | TArray<T>& TArray<T>::DivElt(const TArray<T>& a)
|
---|
| 658 | {
|
---|
[804] | 659 | if (NbDimensions() < 1)
|
---|
| 660 | throw RangeCheckError("TArray<T>::DivElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[813] | 661 | if (!CompareSizes(a))
|
---|
| 662 | throw(SzMismatchError("TArray<T>::DivElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[785] | 663 |
|
---|
| 664 | T * pe;
|
---|
| 665 | const T * pea;
|
---|
| 666 | uint_8 j,k,ka;
|
---|
| 667 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
| 668 | uint_8 step = AvgStep();
|
---|
| 669 | uint_8 stepa = a.AvgStep();
|
---|
| 670 | uint_8 maxx = totsize_*step;
|
---|
| 671 | pe = Data();
|
---|
| 672 | pea = a.Data();
|
---|
| 673 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] /= pea[ka] ;
|
---|
[772] | 674 | }
|
---|
[785] | 675 | else { // Non regular data spacing ...
|
---|
| 676 | uint_4 ax = MaxSizeKA();
|
---|
| 677 | uint_8 step = Step(ax);
|
---|
| 678 | uint_8 stepa = a.Step(ax);
|
---|
| 679 | uint_8 gpas = Size(ax)*step;
|
---|
[813] | 680 | uint_8 naxa = Size()/Size(ax);
|
---|
| 681 | for(j=0; j<naxa; j++) {
|
---|
| 682 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 683 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
[785] | 684 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] /= pea[ka];
|
---|
| 685 | }
|
---|
| 686 | }
|
---|
[772] | 687 | return(*this);
|
---|
| 688 | }
|
---|
| 689 |
|
---|
[894] | 690 | //! Copy elements of \b a
|
---|
[804] | 691 | template <class T>
|
---|
| 692 | TArray<T>& TArray<T>::CopyElt(const TArray<T>& a)
|
---|
| 693 | {
|
---|
| 694 | if (NbDimensions() < 1)
|
---|
| 695 | throw RangeCheckError("TArray<T>::CopyElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[813] | 696 | if (!CompareSizes(a))
|
---|
| 697 | throw(SzMismatchError("TArray<T>::MultElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[772] | 698 |
|
---|
[804] | 699 | T * pe;
|
---|
| 700 | const T * pea;
|
---|
| 701 | uint_8 j,k,ka;
|
---|
| 702 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
| 703 | uint_8 step = AvgStep();
|
---|
| 704 | uint_8 stepa = a.AvgStep();
|
---|
| 705 | uint_8 maxx = totsize_*step;
|
---|
| 706 | pe = Data();
|
---|
| 707 | pea = a.Data();
|
---|
| 708 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] = pea[ka] ;
|
---|
| 709 | }
|
---|
| 710 | else { // Non regular data spacing ...
|
---|
| 711 | uint_4 ax = MaxSizeKA();
|
---|
| 712 | uint_8 step = Step(ax);
|
---|
| 713 | uint_8 stepa = a.Step(ax);
|
---|
| 714 | uint_8 gpas = Size(ax)*step;
|
---|
[813] | 715 | uint_8 naxa = Size()/Size(ax);
|
---|
| 716 | for(j=0; j<naxa; j++) {
|
---|
| 717 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 718 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
[804] | 719 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = pea[ka];
|
---|
| 720 | }
|
---|
| 721 | }
|
---|
| 722 | return(*this);
|
---|
| 723 | }
|
---|
| 724 |
|
---|
| 725 |
|
---|
| 726 | // Somme et produit des elements
|
---|
[894] | 727 | //! Sum all elements
|
---|
[804] | 728 | template <class T>
|
---|
| 729 | T TArray<T>::Sum() const
|
---|
| 730 | {
|
---|
| 731 | if (NbDimensions() < 1)
|
---|
| 732 | throw RangeCheckError("TArray<T>::Sum() - Not Allocated Array ! ");
|
---|
| 733 | T ret=0;
|
---|
| 734 | const T * pe;
|
---|
| 735 | uint_8 j,k;
|
---|
| 736 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 737 | uint_8 step = AvgStep();
|
---|
| 738 | uint_8 maxx = totsize_*step;
|
---|
| 739 | pe = Data();
|
---|
| 740 | for(k=0; k<maxx; k+=step ) ret += pe[k];
|
---|
| 741 | }
|
---|
| 742 | else { // Non regular data spacing ...
|
---|
| 743 | uint_4 ka = MaxSizeKA();
|
---|
| 744 | uint_8 step = Step(ka);
|
---|
| 745 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 746 | uint_8 naxa = Size()/Size(ka);
|
---|
| 747 | for(j=0; j<naxa; j++) {
|
---|
| 748 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[804] | 749 | for(k=0; k<gpas; k+=step) ret += pe[k] ;
|
---|
| 750 | }
|
---|
| 751 | }
|
---|
| 752 | return ret;
|
---|
| 753 | }
|
---|
| 754 |
|
---|
[894] | 755 | //! Multiply all elements
|
---|
[804] | 756 | template <class T>
|
---|
| 757 | T TArray<T>::Product() const
|
---|
| 758 | {
|
---|
| 759 | if (NbDimensions() < 1)
|
---|
| 760 | throw RangeCheckError("TArray<T>::Product() - Not Allocated Array ! ");
|
---|
| 761 | T ret=0;
|
---|
| 762 | const T * pe;
|
---|
| 763 | uint_8 j,k;
|
---|
| 764 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 765 | uint_8 step = AvgStep();
|
---|
| 766 | uint_8 maxx = totsize_*step;
|
---|
| 767 | pe = Data();
|
---|
| 768 | for(k=0; k<maxx; k+=step ) ret *= pe[k];
|
---|
| 769 | }
|
---|
| 770 | else { // Non regular data spacing ...
|
---|
| 771 | uint_4 ka = MaxSizeKA();
|
---|
| 772 | uint_8 step = Step(ka);
|
---|
| 773 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 774 | uint_8 naxa = Size()/Size(ka);
|
---|
| 775 | for(j=0; j<naxa; j++) {
|
---|
| 776 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[804] | 777 | for(k=0; k<gpas; k+=step) ret *= pe[k] ;
|
---|
| 778 | }
|
---|
| 779 | }
|
---|
| 780 | return ret;
|
---|
| 781 | }
|
---|
| 782 |
|
---|
| 783 |
|
---|
| 784 |
|
---|
[772] | 785 | // ----------------------------------------------------
|
---|
| 786 | // Impression, etc ...
|
---|
| 787 | // ----------------------------------------------------
|
---|
| 788 |
|
---|
[894] | 789 | //! Return a string that contain the type \b T of the array
|
---|
[772] | 790 | template <class T>
|
---|
[813] | 791 | string TArray<T>::InfoString() const
|
---|
[772] | 792 | {
|
---|
[813] | 793 | string rs = "TArray<" ;
|
---|
| 794 | rs += typeid(T).name();
|
---|
| 795 | rs += "> ";
|
---|
[787] | 796 | return(rs);
|
---|
[772] | 797 | }
|
---|
| 798 |
|
---|
[894] | 799 | //! Print array
|
---|
| 800 | /*!
|
---|
| 801 | \param os : output stream
|
---|
| 802 | \param maxprt : maximum numer of print
|
---|
| 803 | \param si : if true, display attached DvList
|
---|
| 804 | \sa SetMaxPrint
|
---|
| 805 | */
|
---|
[772] | 806 | template <class T>
|
---|
| 807 | void TArray<T>::Print(ostream& os, int_4 maxprt, bool si) const
|
---|
| 808 | {
|
---|
| 809 | if (maxprt < 0) maxprt = max_nprt_;
|
---|
[958] | 810 | uint_4 npr = 0;
|
---|
[772] | 811 | Show(os, si);
|
---|
[850] | 812 | if (ndim_ < 1) return;
|
---|
[804] | 813 | uint_4 k0,k1,k2,k3,k4;
|
---|
[772] | 814 | for(k4=0; k4<size_[4]; k4++) {
|
---|
[785] | 815 | if (size_[4] > 1) cout << "\n ----- Dimension 5 (U) K4= " << k4 << endl;
|
---|
[772] | 816 | for(k3=0; k3<size_[3]; k3++) {
|
---|
[785] | 817 | if (size_[3] > 1) cout << "\n ----- Dimension 4 (T) K3= " << k3 << endl;
|
---|
[772] | 818 | for(k2=0; k2<size_[2]; k2++) {
|
---|
[785] | 819 | if (size_[2] > 1) cout << "\n ----- Dimension 3 (Z) K2= " << k2 << endl;
|
---|
[772] | 820 | for(k1=0; k1<size_[1]; k1++) {
|
---|
[785] | 821 | if ( (size_[1] > 1) && (size_[0] > 10) ) cout << "----- Dimension 2 (Y) K1= " << k1 << endl;
|
---|
[772] | 822 | for(k0=0; k0<size_[0]; k0++) {
|
---|
[785] | 823 | if(k0 > 0) os << ", ";
|
---|
| 824 | os << Elem(k0, k1, k2, k3, k4); npr++;
|
---|
[958] | 825 | if (npr >= (uint_4) maxprt) {
|
---|
[772] | 826 | if (npr < totsize_) os << "\n .... " << endl; return;
|
---|
| 827 | }
|
---|
| 828 | }
|
---|
| 829 | os << endl;
|
---|
| 830 | }
|
---|
| 831 | }
|
---|
| 832 | }
|
---|
| 833 | }
|
---|
[813] | 834 | os << endl;
|
---|
[772] | 835 | }
|
---|
| 836 |
|
---|
[894] | 837 | //! Clone if \b a is not temporary, share if temporary
|
---|
[772] | 838 | template <class T>
|
---|
| 839 | void TArray<T>::CloneOrShare(const TArray<T>& a)
|
---|
| 840 | {
|
---|
| 841 | string exmsg = "TArray<T>::CloneOrShare()";
|
---|
| 842 | if (!UpdateSizes(a.ndim_, a.size_, a.step_, a.offset_, exmsg)) throw( ParmError(exmsg) );
|
---|
| 843 | mNDBlock.CloneOrShare(a.mNDBlock);
|
---|
| 844 | }
|
---|
| 845 |
|
---|
[894] | 846 | //! Share data with a
|
---|
[772] | 847 | template <class T>
|
---|
| 848 | void TArray<T>::Share(const TArray<T>& a)
|
---|
| 849 | {
|
---|
| 850 | string exmsg = "TArray<T>::Share()";
|
---|
| 851 | if (!UpdateSizes(a.ndim_, a.size_, a.step_, a.offset_, exmsg)) throw( ParmError(exmsg) );
|
---|
| 852 | mNDBlock.Share(a.mNDBlock);
|
---|
| 853 | }
|
---|
| 854 |
|
---|
| 855 |
|
---|
[785] | 856 |
|
---|
[772] | 857 | ///////////////////////////////////////////////////////////////
|
---|
| 858 | ///////////////////////////////////////////////////////////////
|
---|
| 859 | #ifdef __CXX_PRAGMA_TEMPLATES__
|
---|
[804] | 860 | /*
|
---|
[772] | 861 | #pragma define_template TArray<uint_1>
|
---|
[804] | 862 | #pragma define_template TArray<int_2>
|
---|
| 863 | #pragma define_template TArray<uint_4>
|
---|
| 864 | #pragma define_template TArray<uint_8>
|
---|
| 865 | */
|
---|
[772] | 866 | #pragma define_template TArray<uint_2>
|
---|
| 867 | #pragma define_template TArray<int_4>
|
---|
| 868 | #pragma define_template TArray<int_8>
|
---|
| 869 | #pragma define_template TArray<r_4>
|
---|
| 870 | #pragma define_template TArray<r_8>
|
---|
| 871 | #pragma define_template TArray< complex<r_4> >
|
---|
| 872 | #pragma define_template TArray< complex<r_8> >
|
---|
| 873 | #endif
|
---|
| 874 |
|
---|
| 875 | #if defined(ANSI_TEMPLATES) || defined(GNU_TEMPLATES)
|
---|
[804] | 876 | /*
|
---|
| 877 | template class TArray<uint_1>;
|
---|
| 878 | template class TArray<int_2>;
|
---|
| 879 | template class TArray<uint_4>;
|
---|
| 880 | template class TArray<uint_8>;
|
---|
| 881 | */
|
---|
[772] | 882 | template class TArray<uint_2>;
|
---|
| 883 | template class TArray<int_4>;
|
---|
| 884 | template class TArray<int_8>;
|
---|
| 885 | template class TArray<r_4>;
|
---|
| 886 | template class TArray<r_8>;
|
---|
| 887 | template class TArray< complex<r_4> >;
|
---|
| 888 | template class TArray< complex<r_8> >;
|
---|
| 889 | #endif
|
---|
| 890 |
|
---|
| 891 |
|
---|