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