[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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[976] | 107 | /*!
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| 108 | \warning datas are \b SHARED with \b a.
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| 109 | \sa NDataBlock::NDataBlock(const NDataBlock<T>&)
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| 110 | */
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[772] | 111 | template <class T>
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| 112 | TArray<T>::TArray(const TArray<T>& a)
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[804] | 113 | : BaseArray() , mNDBlock(a.mNDBlock)
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[772] | 114 | {
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| 115 | string exmsg = "TArray<T>::TArray(const TArray<T>&)";
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| 116 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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| 117 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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| 118 | }
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| 119 |
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[894] | 120 | //! Constructor by copy
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| 121 | /*!
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| 122 | \param share : if true, data are shared, if false they are copied
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| 123 | */
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[772] | 124 | template <class T>
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| 125 | TArray<T>::TArray(const TArray<T>& a, bool share)
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[804] | 126 | : BaseArray() , mNDBlock(a.mNDBlock, share)
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[772] | 127 | {
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| 128 | string exmsg = "TArray<T>::TArray(const TArray<T>&, bool)";
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| 129 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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| 130 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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| 131 | }
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| 132 |
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[894] | 133 | //! Destructor
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[772] | 134 | template <class T>
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| 135 | TArray<T>::~TArray()
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| 136 | {
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| 137 | }
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| 138 |
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[894] | 139 | ////////////////////////// Les methodes de copie/share
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| 140 |
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| 141 | //! Set array equal to \b a and return *this
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[976] | 142 | /*!
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| 143 | \warning Datas are copied (cloned) from \b a.
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| 144 | \sa NDataBlock::operator=(const NDataBlock<T>&)
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| 145 | */
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[772] | 146 | template <class T>
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[804] | 147 | TArray<T>& TArray<T>::Set(const TArray<T>& a)
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[772] | 148 | {
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[970] | 149 | if (this == &a) return(*this);
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| 150 | if (a.NbDimensions() < 1)
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| 151 | throw RangeCheckError("TArray<T>::Set(a ) - Array a not allocated ! ");
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| 152 | if (NbDimensions() < 1) CloneOrShare(a);
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| 153 | else CopyElt(a);
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[772] | 154 | return(*this);
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| 155 | }
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| 156 |
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[894] | 157 | //! Clone array \b a
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[772] | 158 | template <class T>
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| 159 | void TArray<T>::Clone(const TArray<T>& a)
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| 160 | {
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| 161 | string exmsg = "TArray<T>::Clone()";
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| 162 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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| 163 | mNDBlock.Clone(a.mNDBlock);
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[894] | 164 | if (mInfo) {delete mInfo; mInfo = NULL;}
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[772] | 165 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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| 166 | }
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| 167 |
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[970] | 168 | //! Clone if \b a is not temporary, share if temporary
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[976] | 169 | /*! \sa NDataBlock::CloneOrShare(const NDataBlock<T>&) */
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[970] | 170 | template <class T>
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| 171 | void TArray<T>::CloneOrShare(const TArray<T>& a)
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| 172 | {
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| 173 | string exmsg = "TArray<T>::CloneOrShare()";
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| 174 | if (!UpdateSizes(a.ndim_, a.size_, a.step_, a.offset_, exmsg)) throw( ParmError(exmsg) );
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| 175 | mNDBlock.CloneOrShare(a.mNDBlock);
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| 176 | }
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| 177 |
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| 178 | //! Share data with a
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| 179 | template <class T>
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| 180 | void TArray<T>::Share(const TArray<T>& a)
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| 181 | {
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| 182 | string exmsg = "TArray<T>::Share()";
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| 183 | if (!UpdateSizes(a.ndim_, a.size_, a.step_, a.offset_, exmsg)) throw( ParmError(exmsg) );
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| 184 | mNDBlock.Share(a.mNDBlock);
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| 185 | }
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| 186 |
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| 187 |
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[894] | 188 | //! Resize array
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| 189 | /*!
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| 190 | \param ndim : number of dimensions
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| 191 | \param siz[ndim] : size along each dimension
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| 192 | \param step : step (same for all dimensions)
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| 193 | */
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[772] | 194 | template <class T>
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| 195 | void TArray<T>::ReSize(uint_4 ndim, uint_4 * siz, uint_4 step)
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| 196 | {
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| 197 | string exmsg = "TArray<T>::ReSize()";
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| 198 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
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| 199 | mNDBlock.ReSize(totsize_);
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| 200 | }
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| 201 |
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[894] | 202 | //! Re-allocate space for array
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| 203 | /*!
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| 204 | \param ndim : number of dimensions
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| 205 | \param siz[ndim] : size along each dimension
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| 206 | \param step : step (same for all dimensions)
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| 207 | \param force : if true re-allocation is forced, if not it occurs
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| 208 | only if the required space is greater than the old one.
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| 209 | */
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[772] | 210 | template <class T>
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| 211 | void TArray<T>::Realloc(uint_4 ndim, uint_4 * siz, uint_4 step, bool force)
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| 212 | {
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| 213 | string exmsg = "TArray<T>::Realloc()";
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| 214 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
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| 215 | mNDBlock.ReSize(totsize_);
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| 216 | }
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| 217 |
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[787] | 218 |
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[894] | 219 | //! Compact dimensions in one or more is equal to 1.
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[772] | 220 | template <class T>
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[787] | 221 | TArray<T>& TArray<T>::CompactAllDimensions()
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[772] | 222 | {
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[787] | 223 | CompactAllDim();
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| 224 | return(*this);
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[772] | 225 | }
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| 226 |
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[894] | 227 | //! Compact dimensions if the last one is equal to 1.
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[785] | 228 | template <class T>
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[787] | 229 | TArray<T>& TArray<T>::CompactTrailingDimensions()
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[785] | 230 | {
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[787] | 231 | CompactTrailingDim();
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[785] | 232 | return(*this);
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| 233 | }
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| 234 |
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[922] | 235 | inline double _SqrtRz_(double x) { return sqrt(x); } // Pb avec SGI-CC - $CHECK$ - Reza 04/2000
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| 236 |
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[894] | 237 | //! Give value (in \b double) for element at position \b ip..
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[785] | 238 | template <class T>
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[787] | 239 | double TArray<T>::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 | return( (double)(*(mNDBlock.Begin()+Offset(ip))) );
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[785] | 245 | }
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| 246 |
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[894] | 247 | //! Give value (in \b double) for element at position \b ip..
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| 248 | /*!
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| 249 | For complex values, we return the module of the complex number
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| 250 | */
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[787] | 251 | double TArray< complex<r_4> >::ValueAtPosition(uint_8 ip) const
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[785] | 252 | {
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[787] | 253 | #ifdef SO_BOUNDCHECKING
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| 254 | if (ip >= totsize_) throw( ParmError("TArray<T>::ValueAtPosition(uint_8 ip) Out-of-bound Error") );
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| 255 | #endif
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| 256 | complex<r_4> c = *(mNDBlock.Begin()+Offset(ip));
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| 257 | double cr = (double)(c.real());
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| 258 | double ci = (double)(c.imag());
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[922] | 259 | return( _SqrtRz_(cr*cr+ci*ci) );
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[785] | 260 | }
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| 261 |
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[894] | 262 | //! Give value (in \b double) for element at position \b ip..
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| 263 | /*!
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| 264 | For complex values, we return the module of the complex number
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| 265 | */
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[787] | 266 | double TArray< complex<r_8> >::ValueAtPosition(uint_8 ip) const
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[785] | 267 | {
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[787] | 268 | #ifdef SO_BOUNDCHECKING
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| 269 | if (ip >= totsize_) throw( ParmError("TArray<T>::ValueAtPosition(uint_8 ip) Out-of-bound Error") );
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| 270 | #endif
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| 271 | complex<r_8> c = *(mNDBlock.Begin()+Offset(ip));
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| 272 | double cr = (double)(c.real());
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| 273 | double ci = (double)(c.imag());
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[922] | 274 | return( _SqrtRz_(cr*cr+ci*ci) );
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[785] | 275 | }
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| 276 |
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[894] | 277 | //! Return array with elements packed
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| 278 | /*!
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| 279 | \param force : if true, pack elements in a new array.
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| 280 | If false and array is already packed, return
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| 281 | an array that share data with the current one.
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| 282 | \return packed array
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| 283 | */
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[804] | 284 | template <class T>
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| 285 | TArray<T> TArray<T>::PackElements(bool force) const
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| 286 | {
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| 287 | if (NbDimensions() < 1)
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| 288 | throw RangeCheckError("TArray<T>::PackElements() - Not Allocated Array ! ");
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| 289 | if ( !force && (AvgStep() == 1) ) {
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[970] | 290 | TArray<T> ra;
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| 291 | ra.Share(*this);
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[804] | 292 | ra.SetTemp(true);
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| 293 | return(ra);
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| 294 | }
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| 295 | else {
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| 296 | TArray<T> ra(ndim_, size_, 1);
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| 297 | ra.CopyElt(*this);
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| 298 | ra.SetTemp(true);
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| 299 | return(ra);
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| 300 | }
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| 301 | }
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| 302 |
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[785] | 303 | // SubArrays
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[804] | 304 | // $CHECK$ Reza 03/2000 Doit-on declarer cette methode const ?
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[894] | 305 | //! Extract a sub-array
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| 306 | /*!
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| 307 | \param rx,ry,rz,rt,ru : range of extraction along dimensions
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| 308 | \sa Range
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| 309 | */
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[785] | 310 | template <class T>
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[804] | 311 | TArray<T> TArray<T>::SubArray(Range rx, Range ry, Range rz, Range rt, Range ru) const
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[785] | 312 | {
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[804] | 313 | if (NbDimensions() < 1)
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| 314 | throw RangeCheckError("TArray<T>::operator () (Range, ...) - Not Allocated Array ! ");
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[785] | 315 | uint_4 ndim = 0;
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[787] | 316 | uint_4 size[BASEARRAY_MAXNDIMS];
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| 317 | uint_4 step[BASEARRAY_MAXNDIMS];
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| 318 | uint_4 pos[BASEARRAY_MAXNDIMS];
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[785] | 319 | size[0] = rx.Size();
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| 320 | size[1] = ry.Size();
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| 321 | size[2] = rz.Size();
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| 322 | size[3] = rt.Size();
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| 323 | size[4] = ru.Size();
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| 324 |
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| 325 | step[0] = rx.Step();
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| 326 | step[1] = ry.Step();
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| 327 | step[2] = rz.Step();
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| 328 | step[3] = rt.Step();
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| 329 | step[4] = ru.Step();
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| 330 |
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| 331 | pos[0] = rx.Start();
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| 332 | pos[1] = ry.Start();
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| 333 | pos[2] = rz.Start();
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| 334 | pos[3] = rt.Start();
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| 335 | pos[4] = ru.Start();
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| 336 |
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| 337 | ndim = ndim_;
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| 338 | TArray<T> ra;
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[804] | 339 | UpdateSubArraySizes(ra, ndim, size, pos, step);
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[787] | 340 | ra.DataBlock().Share(this->DataBlock());
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[785] | 341 | ra.SetTemp(true);
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| 342 | return(ra);
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| 343 | }
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| 344 |
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[772] | 345 | // ...... Operation de calcul sur les tableaux ......
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| 346 | // ------- Attention --------
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| 347 | // Boucles normales prenant en compte les steps ....
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[894] | 348 | // Possibilite de // , vectorisation
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| 349 |
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| 350 | //! Fill TArray with Sequence \b seq
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| 351 | /*!
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| 352 | \param seq : sequence to fill the array
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| 353 | \sa Sequence
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| 354 | */
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[772] | 355 | template <class T>
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[813] | 356 | TArray<T>& TArray<T>::SetSeq(Sequence seq)
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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>::SetSeq(Sequence ) - 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 | pe = Data();
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[958] | 365 | for(k=0; k<totsize_; k++ ) pe[k*step] = (T) seq(k);
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[785] | 366 | }
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| 367 | else { // Non regular data spacing ...
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[813] | 368 | // uint_4 ka = MaxSizeKA();
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| 369 | uint_4 ka = 0;
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[785] | 370 | uint_8 step = Step(ka);
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| 371 | uint_8 gpas = Size(ka);
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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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[958] | 375 | for(k=0; k<gpas; k++) pe[k*step] = (T) seq(j*gpas+k);
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[785] | 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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| 381 | // >>>> Operations avec 2nd membre de type scalaire
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| 382 |
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[894] | 383 | //! Fill an array with a constant value \b x
|
---|
[772] | 384 | template <class T>
|
---|
[813] | 385 | TArray<T>& TArray<T>::SetT(T x)
|
---|
[772] | 386 | {
|
---|
[804] | 387 | if (NbDimensions() < 1)
|
---|
[813] | 388 | throw RangeCheckError("TArray<T>::SetT(T ) - Not Allocated Array ! ");
|
---|
[785] | 389 | T * pe;
|
---|
| 390 | uint_8 j,k;
|
---|
| 391 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 392 | uint_8 step = AvgStep();
|
---|
| 393 | uint_8 maxx = totsize_*step;
|
---|
| 394 | pe = Data();
|
---|
| 395 | for(k=0; k<maxx; k+=step ) pe[k] = x;
|
---|
| 396 | }
|
---|
| 397 | else { // Non regular data spacing ...
|
---|
| 398 | uint_4 ka = MaxSizeKA();
|
---|
| 399 | uint_8 step = Step(ka);
|
---|
| 400 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 401 | uint_8 naxa = Size()/Size(ka);
|
---|
| 402 | for(j=0; j<naxa; j++) {
|
---|
| 403 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[785] | 404 | for(k=0; k<gpas; k+=step) pe[k] = x;
|
---|
| 405 | }
|
---|
| 406 | }
|
---|
[772] | 407 | return(*this);
|
---|
| 408 | }
|
---|
| 409 |
|
---|
[894] | 410 | //! Add a constant value \b x to an array
|
---|
[772] | 411 | template <class T>
|
---|
[804] | 412 | TArray<T>& TArray<T>::Add(T x)
|
---|
[772] | 413 | {
|
---|
[804] | 414 | if (NbDimensions() < 1)
|
---|
| 415 | throw RangeCheckError("TArray<T>::Add(T ) - Not Allocated Array ! ");
|
---|
[785] | 416 | T * pe;
|
---|
| 417 | uint_8 j,k;
|
---|
| 418 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 419 | uint_8 step = AvgStep();
|
---|
| 420 | uint_8 maxx = totsize_*step;
|
---|
| 421 | pe = Data();
|
---|
| 422 | for(k=0; k<maxx; k+=step ) pe[k] += x;
|
---|
| 423 | }
|
---|
| 424 | else { // Non regular data spacing ...
|
---|
| 425 | uint_4 ka = MaxSizeKA();
|
---|
| 426 | uint_8 step = Step(ka);
|
---|
| 427 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 428 | uint_8 naxa = Size()/Size(ka);
|
---|
| 429 | for(j=0; j<naxa; j++) {
|
---|
| 430 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[785] | 431 | for(k=0; k<gpas; k+=step) pe[k] += x;
|
---|
| 432 | }
|
---|
| 433 | }
|
---|
[772] | 434 | return(*this);
|
---|
| 435 | }
|
---|
| 436 |
|
---|
[894] | 437 | //! Substract a constant value \b x to an array
|
---|
[970] | 438 | /*!
|
---|
| 439 | Substract a constant from the *this = *this-x
|
---|
| 440 | \param fginv == true : Perfoms the inverse subtraction (*this = x-(*this))
|
---|
| 441 | */
|
---|
[772] | 442 | template <class T>
|
---|
[970] | 443 | TArray<T>& TArray<T>::Sub(T x, bool fginv)
|
---|
[772] | 444 | {
|
---|
[804] | 445 | if (NbDimensions() < 1)
|
---|
| 446 | throw RangeCheckError("TArray<T>::Sub(T ) - Not Allocated Array ! ");
|
---|
[785] | 447 | T * pe;
|
---|
| 448 | uint_8 j,k;
|
---|
| 449 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 450 | uint_8 step = AvgStep();
|
---|
| 451 | uint_8 maxx = totsize_*step;
|
---|
| 452 | pe = Data();
|
---|
[970] | 453 | if (fginv)
|
---|
| 454 | for(k=0; k<maxx; k+=step ) pe[k] = x-pe[k];
|
---|
| 455 | else
|
---|
| 456 | for(k=0; k<maxx; k+=step ) pe[k] -= x;
|
---|
[785] | 457 | }
|
---|
| 458 | else { // Non regular data spacing ...
|
---|
| 459 | uint_4 ka = MaxSizeKA();
|
---|
| 460 | uint_8 step = Step(ka);
|
---|
| 461 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 462 | uint_8 naxa = Size()/Size(ka);
|
---|
| 463 | for(j=0; j<naxa; j++) {
|
---|
| 464 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[970] | 465 | if (fginv)
|
---|
| 466 | for(k=0; k<gpas; k+=step) pe[k] = x-pe[k];
|
---|
| 467 | else
|
---|
| 468 | for(k=0; k<gpas; k+=step) pe[k] -= x;
|
---|
[785] | 469 | }
|
---|
| 470 | }
|
---|
[772] | 471 | return(*this);
|
---|
| 472 | }
|
---|
| 473 |
|
---|
[894] | 474 | //! Multiply an array by a constant value \b x
|
---|
[772] | 475 | template <class T>
|
---|
[804] | 476 | TArray<T>& TArray<T>::Mul(T x)
|
---|
[772] | 477 | {
|
---|
[804] | 478 | if (NbDimensions() < 1)
|
---|
| 479 | throw RangeCheckError("TArray<T>::Mul(T ) - Not Allocated Array ! ");
|
---|
[785] | 480 | T * pe;
|
---|
| 481 | uint_8 j,k;
|
---|
| 482 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 483 | uint_8 step = AvgStep();
|
---|
| 484 | uint_8 maxx = totsize_*step;
|
---|
| 485 | pe = Data();
|
---|
| 486 | for(k=0; k<maxx; k+=step ) pe[k] *= x;
|
---|
| 487 | }
|
---|
| 488 | else { // Non regular data spacing ...
|
---|
| 489 | uint_4 ka = MaxSizeKA();
|
---|
| 490 | uint_8 step = Step(ka);
|
---|
| 491 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 492 | uint_8 naxa = Size()/Size(ka);
|
---|
| 493 | for(j=0; j<naxa; j++) {
|
---|
| 494 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[785] | 495 | for(k=0; k<gpas; k+=step) pe[k] *= x;
|
---|
| 496 | }
|
---|
| 497 | }
|
---|
[772] | 498 | return(*this);
|
---|
| 499 | }
|
---|
| 500 |
|
---|
[894] | 501 | //! Divide an array by a constant value \b x
|
---|
[970] | 502 | /*!
|
---|
| 503 | Divide the array by a constant *this = *this/x
|
---|
| 504 | \param fginv == true : Perfoms the inverse division (*this = x/(*this))
|
---|
| 505 | */
|
---|
[772] | 506 | template <class T>
|
---|
[970] | 507 | TArray<T>& TArray<T>::Div(T x, bool fginv)
|
---|
[772] | 508 | {
|
---|
[804] | 509 | if (NbDimensions() < 1)
|
---|
| 510 | throw RangeCheckError("TArray<T>::Div(T ) - Not Allocated Array ! ");
|
---|
[970] | 511 | if (!fginv && (x == (T) 0) )
|
---|
[894] | 512 | throw MathExc("TArray<T>::Div(T ) - Divide by zero ! ");
|
---|
[785] | 513 | T * pe;
|
---|
| 514 | uint_8 j,k;
|
---|
| 515 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 516 | uint_8 step = AvgStep();
|
---|
| 517 | uint_8 maxx = totsize_*step;
|
---|
| 518 | pe = Data();
|
---|
[970] | 519 | if (fginv)
|
---|
| 520 | for(k=0; k<maxx; k+=step ) pe[k] = x/pe[k];
|
---|
| 521 | else
|
---|
| 522 | for(k=0; k<maxx; k+=step ) pe[k] /= x;
|
---|
[785] | 523 | }
|
---|
| 524 | else { // Non regular data spacing ...
|
---|
| 525 | uint_4 ka = MaxSizeKA();
|
---|
| 526 | uint_8 step = Step(ka);
|
---|
| 527 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 528 | uint_8 naxa = Size()/Size(ka);
|
---|
| 529 | for(j=0; j<naxa; j++) {
|
---|
| 530 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[970] | 531 | if (fginv)
|
---|
| 532 | for(k=0; k<gpas; k+=step) pe[k] = x/pe[k];
|
---|
| 533 | else
|
---|
| 534 | for(k=0; k<gpas; k+=step) pe[k] /= x;
|
---|
[785] | 535 | }
|
---|
| 536 | }
|
---|
[772] | 537 | return(*this);
|
---|
| 538 | }
|
---|
| 539 |
|
---|
| 540 |
|
---|
[804] | 541 |
|
---|
| 542 |
|
---|
[772] | 543 | // >>>> Operations avec 2nd membre de type tableau
|
---|
[894] | 544 | //! Add two TArrays
|
---|
[772] | 545 | template <class T>
|
---|
[804] | 546 | TArray<T>& TArray<T>::AddElt(const TArray<T>& a)
|
---|
[772] | 547 | {
|
---|
[804] | 548 | if (NbDimensions() < 1)
|
---|
| 549 | throw RangeCheckError("TArray<T>::AddElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[813] | 550 | if (!CompareSizes(a))
|
---|
| 551 | throw(SzMismatchError("TArray<T>::AddElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[785] | 552 |
|
---|
| 553 | T * pe;
|
---|
| 554 | const T * pea;
|
---|
| 555 | uint_8 j,k,ka;
|
---|
| 556 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
| 557 | uint_8 step = AvgStep();
|
---|
| 558 | uint_8 stepa = a.AvgStep();
|
---|
| 559 | uint_8 maxx = totsize_*step;
|
---|
| 560 | pe = Data();
|
---|
| 561 | pea = a.Data();
|
---|
| 562 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] += pea[ka] ;
|
---|
[772] | 563 | }
|
---|
[785] | 564 | else { // Non regular data spacing ...
|
---|
| 565 | uint_4 ax = MaxSizeKA();
|
---|
| 566 | uint_8 step = Step(ax);
|
---|
| 567 | uint_8 stepa = a.Step(ax);
|
---|
| 568 | uint_8 gpas = Size(ax)*step;
|
---|
[813] | 569 | uint_8 naxa = Size()/Size(ax);
|
---|
| 570 | for(j=0; j<naxa; j++) {
|
---|
| 571 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 572 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
[785] | 573 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] += pea[ka];
|
---|
| 574 | }
|
---|
| 575 | }
|
---|
[772] | 576 | return(*this);
|
---|
| 577 | }
|
---|
| 578 |
|
---|
[894] | 579 | //! Substract two TArrays
|
---|
[970] | 580 | /*!
|
---|
| 581 | Substract two TArrays *this = *this-a
|
---|
| 582 | \param fginv == true : Perfoms the inverse subtraction (*this = a-(*this))
|
---|
| 583 | */
|
---|
[772] | 584 | template <class T>
|
---|
[970] | 585 | TArray<T>& TArray<T>::SubElt(const TArray<T>& a, bool fginv)
|
---|
[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();
|
---|
[970] | 601 | if (fginv)
|
---|
| 602 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] = pea[ka]-pe[k] ;
|
---|
| 603 | else
|
---|
| 604 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] -= pea[ka] ;
|
---|
[772] | 605 | }
|
---|
[785] | 606 | else { // Non regular data spacing ...
|
---|
| 607 | uint_4 ax = MaxSizeKA();
|
---|
| 608 | uint_8 step = Step(ax);
|
---|
| 609 | uint_8 stepa = a.Step(ax);
|
---|
| 610 | uint_8 gpas = Size(ax)*step;
|
---|
[813] | 611 | uint_8 naxa = Size()/Size(ax);
|
---|
| 612 | for(j=0; j<naxa; j++) {
|
---|
| 613 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 614 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
[970] | 615 | if (fginv)
|
---|
| 616 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = pea[ka]-pe[k] ;
|
---|
| 617 | else
|
---|
| 618 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] -= pea[ka];
|
---|
[785] | 619 | }
|
---|
| 620 | }
|
---|
[772] | 621 | return(*this);
|
---|
| 622 | }
|
---|
| 623 |
|
---|
[970] | 624 |
|
---|
[894] | 625 | //! Multiply two TArrays (elements by elements)
|
---|
[772] | 626 | template <class T>
|
---|
[804] | 627 | TArray<T>& TArray<T>::MulElt(const TArray<T>& a)
|
---|
[772] | 628 | {
|
---|
[804] | 629 | if (NbDimensions() < 1)
|
---|
| 630 | throw RangeCheckError("TArray<T>::MulElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[813] | 631 | if (!CompareSizes(a))
|
---|
| 632 | throw(SzMismatchError("TArray<T>::MulElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[785] | 633 |
|
---|
| 634 | T * pe;
|
---|
| 635 | const T * pea;
|
---|
| 636 | uint_8 j,k,ka;
|
---|
| 637 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
| 638 | uint_8 step = AvgStep();
|
---|
| 639 | uint_8 stepa = a.AvgStep();
|
---|
| 640 | uint_8 maxx = totsize_*step;
|
---|
| 641 | pe = Data();
|
---|
| 642 | pea = a.Data();
|
---|
| 643 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] *= pea[ka] ;
|
---|
[772] | 644 | }
|
---|
[785] | 645 | else { // Non regular data spacing ...
|
---|
| 646 | uint_4 ax = MaxSizeKA();
|
---|
| 647 | uint_8 step = Step(ax);
|
---|
| 648 | uint_8 stepa = a.Step(ax);
|
---|
| 649 | uint_8 gpas = Size(ax)*step;
|
---|
[813] | 650 | uint_8 naxa = Size()/Size(ax);
|
---|
| 651 | for(j=0; j<naxa; j++) {
|
---|
| 652 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 653 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
[785] | 654 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] *= pea[ka];
|
---|
| 655 | }
|
---|
| 656 | }
|
---|
[772] | 657 | return(*this);
|
---|
| 658 | }
|
---|
| 659 |
|
---|
[804] | 660 |
|
---|
[894] | 661 | //! Divide two TArrays (elements by elements)
|
---|
[970] | 662 | /*!
|
---|
| 663 | Divide two TArrays *this = (*this)/a
|
---|
| 664 | \param fginv == true : Perfoms the inverse division (*this = a/(*this))
|
---|
| 665 | */
|
---|
[772] | 666 | template <class T>
|
---|
[970] | 667 | TArray<T>& TArray<T>::DivElt(const TArray<T>& a, bool fginv)
|
---|
[772] | 668 | {
|
---|
[804] | 669 | if (NbDimensions() < 1)
|
---|
| 670 | throw RangeCheckError("TArray<T>::DivElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[813] | 671 | if (!CompareSizes(a))
|
---|
| 672 | throw(SzMismatchError("TArray<T>::DivElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[785] | 673 |
|
---|
| 674 | T * pe;
|
---|
| 675 | const T * pea;
|
---|
| 676 | uint_8 j,k,ka;
|
---|
| 677 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
| 678 | uint_8 step = AvgStep();
|
---|
| 679 | uint_8 stepa = a.AvgStep();
|
---|
| 680 | uint_8 maxx = totsize_*step;
|
---|
| 681 | pe = Data();
|
---|
| 682 | pea = a.Data();
|
---|
[970] | 683 | if (fginv)
|
---|
| 684 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] = pea[ka]/pe[k];
|
---|
| 685 | else
|
---|
| 686 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] /= pea[ka] ;
|
---|
[772] | 687 | }
|
---|
[785] | 688 | else { // Non regular data spacing ...
|
---|
| 689 | uint_4 ax = MaxSizeKA();
|
---|
| 690 | uint_8 step = Step(ax);
|
---|
| 691 | uint_8 stepa = a.Step(ax);
|
---|
| 692 | uint_8 gpas = Size(ax)*step;
|
---|
[813] | 693 | uint_8 naxa = Size()/Size(ax);
|
---|
| 694 | for(j=0; j<naxa; j++) {
|
---|
| 695 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 696 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
[970] | 697 | if (fginv)
|
---|
| 698 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = pea[ka]/pe[k];
|
---|
| 699 | else
|
---|
| 700 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] /= pea[ka];
|
---|
[785] | 701 | }
|
---|
| 702 | }
|
---|
[772] | 703 | return(*this);
|
---|
| 704 | }
|
---|
| 705 |
|
---|
[894] | 706 | //! Copy elements of \b a
|
---|
[804] | 707 | template <class T>
|
---|
| 708 | TArray<T>& TArray<T>::CopyElt(const TArray<T>& a)
|
---|
| 709 | {
|
---|
| 710 | if (NbDimensions() < 1)
|
---|
| 711 | throw RangeCheckError("TArray<T>::CopyElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[813] | 712 | if (!CompareSizes(a))
|
---|
[1050] | 713 | throw(SzMismatchError("TArray<T>::CopyElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[772] | 714 |
|
---|
[804] | 715 | T * pe;
|
---|
| 716 | const T * pea;
|
---|
| 717 | uint_8 j,k,ka;
|
---|
| 718 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
| 719 | uint_8 step = AvgStep();
|
---|
| 720 | uint_8 stepa = a.AvgStep();
|
---|
| 721 | uint_8 maxx = totsize_*step;
|
---|
| 722 | pe = Data();
|
---|
| 723 | pea = a.Data();
|
---|
| 724 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] = pea[ka] ;
|
---|
| 725 | }
|
---|
| 726 | else { // Non regular data spacing ...
|
---|
| 727 | uint_4 ax = MaxSizeKA();
|
---|
| 728 | uint_8 step = Step(ax);
|
---|
| 729 | uint_8 stepa = a.Step(ax);
|
---|
| 730 | uint_8 gpas = Size(ax)*step;
|
---|
[813] | 731 | uint_8 naxa = Size()/Size(ax);
|
---|
| 732 | for(j=0; j<naxa; j++) {
|
---|
| 733 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
| 734 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
[804] | 735 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = pea[ka];
|
---|
| 736 | }
|
---|
| 737 | }
|
---|
| 738 | return(*this);
|
---|
| 739 | }
|
---|
| 740 |
|
---|
| 741 |
|
---|
| 742 | // Somme et produit des elements
|
---|
[894] | 743 | //! Sum all elements
|
---|
[804] | 744 | template <class T>
|
---|
| 745 | T TArray<T>::Sum() const
|
---|
| 746 | {
|
---|
| 747 | if (NbDimensions() < 1)
|
---|
| 748 | throw RangeCheckError("TArray<T>::Sum() - Not Allocated Array ! ");
|
---|
| 749 | T ret=0;
|
---|
| 750 | const T * pe;
|
---|
| 751 | uint_8 j,k;
|
---|
| 752 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 753 | uint_8 step = AvgStep();
|
---|
| 754 | uint_8 maxx = totsize_*step;
|
---|
| 755 | pe = Data();
|
---|
| 756 | for(k=0; k<maxx; k+=step ) ret += pe[k];
|
---|
| 757 | }
|
---|
| 758 | else { // Non regular data spacing ...
|
---|
| 759 | uint_4 ka = MaxSizeKA();
|
---|
| 760 | uint_8 step = Step(ka);
|
---|
| 761 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 762 | uint_8 naxa = Size()/Size(ka);
|
---|
| 763 | for(j=0; j<naxa; j++) {
|
---|
| 764 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[804] | 765 | for(k=0; k<gpas; k+=step) ret += pe[k] ;
|
---|
| 766 | }
|
---|
| 767 | }
|
---|
| 768 | return ret;
|
---|
| 769 | }
|
---|
| 770 |
|
---|
[894] | 771 | //! Multiply all elements
|
---|
[804] | 772 | template <class T>
|
---|
| 773 | T TArray<T>::Product() const
|
---|
| 774 | {
|
---|
| 775 | if (NbDimensions() < 1)
|
---|
| 776 | throw RangeCheckError("TArray<T>::Product() - Not Allocated Array ! ");
|
---|
| 777 | T ret=0;
|
---|
| 778 | const T * pe;
|
---|
| 779 | uint_8 j,k;
|
---|
| 780 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 781 | uint_8 step = AvgStep();
|
---|
| 782 | uint_8 maxx = totsize_*step;
|
---|
| 783 | pe = Data();
|
---|
| 784 | for(k=0; k<maxx; k+=step ) ret *= pe[k];
|
---|
| 785 | }
|
---|
| 786 | else { // Non regular data spacing ...
|
---|
| 787 | uint_4 ka = MaxSizeKA();
|
---|
| 788 | uint_8 step = Step(ka);
|
---|
| 789 | uint_8 gpas = Size(ka)*step;
|
---|
[813] | 790 | uint_8 naxa = Size()/Size(ka);
|
---|
| 791 | for(j=0; j<naxa; j++) {
|
---|
| 792 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[804] | 793 | for(k=0; k<gpas; k+=step) ret *= pe[k] ;
|
---|
| 794 | }
|
---|
| 795 | }
|
---|
| 796 | return ret;
|
---|
| 797 | }
|
---|
| 798 |
|
---|
| 799 |
|
---|
| 800 |
|
---|
[772] | 801 | // ----------------------------------------------------
|
---|
| 802 | // Impression, etc ...
|
---|
| 803 | // ----------------------------------------------------
|
---|
| 804 |
|
---|
[894] | 805 | //! Return a string that contain the type \b T of the array
|
---|
[772] | 806 | template <class T>
|
---|
[813] | 807 | string TArray<T>::InfoString() const
|
---|
[772] | 808 | {
|
---|
[813] | 809 | string rs = "TArray<" ;
|
---|
| 810 | rs += typeid(T).name();
|
---|
| 811 | rs += "> ";
|
---|
[787] | 812 | return(rs);
|
---|
[772] | 813 | }
|
---|
| 814 |
|
---|
[894] | 815 | //! Print array
|
---|
| 816 | /*!
|
---|
| 817 | \param os : output stream
|
---|
| 818 | \param maxprt : maximum numer of print
|
---|
| 819 | \param si : if true, display attached DvList
|
---|
| 820 | \sa SetMaxPrint
|
---|
| 821 | */
|
---|
[772] | 822 | template <class T>
|
---|
| 823 | void TArray<T>::Print(ostream& os, int_4 maxprt, bool si) const
|
---|
| 824 | {
|
---|
| 825 | if (maxprt < 0) maxprt = max_nprt_;
|
---|
[958] | 826 | uint_4 npr = 0;
|
---|
[772] | 827 | Show(os, si);
|
---|
[850] | 828 | if (ndim_ < 1) return;
|
---|
[804] | 829 | uint_4 k0,k1,k2,k3,k4;
|
---|
[772] | 830 | for(k4=0; k4<size_[4]; k4++) {
|
---|
[785] | 831 | if (size_[4] > 1) cout << "\n ----- Dimension 5 (U) K4= " << k4 << endl;
|
---|
[772] | 832 | for(k3=0; k3<size_[3]; k3++) {
|
---|
[785] | 833 | if (size_[3] > 1) cout << "\n ----- Dimension 4 (T) K3= " << k3 << endl;
|
---|
[772] | 834 | for(k2=0; k2<size_[2]; k2++) {
|
---|
[785] | 835 | if (size_[2] > 1) cout << "\n ----- Dimension 3 (Z) K2= " << k2 << endl;
|
---|
[772] | 836 | for(k1=0; k1<size_[1]; k1++) {
|
---|
[785] | 837 | if ( (size_[1] > 1) && (size_[0] > 10) ) cout << "----- Dimension 2 (Y) K1= " << k1 << endl;
|
---|
[772] | 838 | for(k0=0; k0<size_[0]; k0++) {
|
---|
[785] | 839 | if(k0 > 0) os << ", ";
|
---|
| 840 | os << Elem(k0, k1, k2, k3, k4); npr++;
|
---|
[958] | 841 | if (npr >= (uint_4) maxprt) {
|
---|
[772] | 842 | if (npr < totsize_) os << "\n .... " << endl; return;
|
---|
| 843 | }
|
---|
| 844 | }
|
---|
| 845 | os << endl;
|
---|
| 846 | }
|
---|
| 847 | }
|
---|
| 848 | }
|
---|
| 849 | }
|
---|
[813] | 850 | os << endl;
|
---|
[772] | 851 | }
|
---|
| 852 |
|
---|
| 853 |
|
---|
| 854 |
|
---|
| 855 | ///////////////////////////////////////////////////////////////
|
---|
| 856 | ///////////////////////////////////////////////////////////////
|
---|
| 857 | #ifdef __CXX_PRAGMA_TEMPLATES__
|
---|
[804] | 858 | /*
|
---|
[772] | 859 | #pragma define_template TArray<uint_1>
|
---|
[804] | 860 | #pragma define_template TArray<int_2>
|
---|
| 861 | #pragma define_template TArray<uint_4>
|
---|
| 862 | #pragma define_template TArray<uint_8>
|
---|
| 863 | */
|
---|
[772] | 864 | #pragma define_template TArray<uint_2>
|
---|
| 865 | #pragma define_template TArray<int_4>
|
---|
| 866 | #pragma define_template TArray<int_8>
|
---|
| 867 | #pragma define_template TArray<r_4>
|
---|
| 868 | #pragma define_template TArray<r_8>
|
---|
| 869 | #pragma define_template TArray< complex<r_4> >
|
---|
| 870 | #pragma define_template TArray< complex<r_8> >
|
---|
| 871 | #endif
|
---|
| 872 |
|
---|
| 873 | #if defined(ANSI_TEMPLATES) || defined(GNU_TEMPLATES)
|
---|
[804] | 874 | /*
|
---|
| 875 | template class TArray<uint_1>;
|
---|
| 876 | template class TArray<int_2>;
|
---|
| 877 | template class TArray<uint_4>;
|
---|
| 878 | template class TArray<uint_8>;
|
---|
| 879 | */
|
---|
[772] | 880 | template class TArray<uint_2>;
|
---|
| 881 | template class TArray<int_4>;
|
---|
| 882 | template class TArray<int_8>;
|
---|
| 883 | template class TArray<r_4>;
|
---|
| 884 | template class TArray<r_8>;
|
---|
| 885 | template class TArray< complex<r_4> >;
|
---|
| 886 | template class TArray< complex<r_8> >;
|
---|
| 887 | #endif
|
---|
| 888 |
|
---|
| 889 |
|
---|