[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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[1156] | 41 | TArray<T>::TArray(int_4 ndim, const sa_size_t * siz, sa_size_t step)
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[804] | 42 | : BaseArray() , mNDBlock(ComputeTotalSize(ndim, siz, step, 1))
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[772] | 43 | {
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[1156] | 44 | string exmsg = "TArray<T>::TArray(int_4, sa_size_t *, sa_size_t)";
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[772] | 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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[1156] | 53 | TArray<T>::TArray(sa_size_t nx, sa_size_t ny, sa_size_t nz, sa_size_t nt, sa_size_t nu)
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[804] | 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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[1156] | 56 | sa_size_t 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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[1156] | 59 | int_4 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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[1156] | 65 | string exmsg = "TArray<T>::TArray(sa_size_t, sa_size_t, sa_size_t, sa_size_t, sa_size_t)";
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[772] | 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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[1156] | 79 | TArray<T>::TArray(int_4 ndim, const sa_size_t * siz, NDataBlock<T> & db, bool share, sa_size_t step, sa_size_t offset)
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[804] | 80 | : BaseArray() , mNDBlock(db, share)
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[772] | 81 | {
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[1156] | 82 | string exmsg = "TArray<T>::TArray(int_4, sa_size_t *, NDataBlock<T> & ... )";
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[772] | 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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[1156] | 99 | TArray<T>::TArray(int_4 ndim, const sa_size_t * siz, T* values, sa_size_t step, sa_size_t offset, Bridge* br)
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[804] | 100 | : BaseArray() , mNDBlock(ComputeTotalSize(ndim, siz, step, 1), values, br)
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[772] | 101 | {
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[1156] | 102 | string exmsg = "TArray<T>::TArray(int_4, sa_size_t *, T* ... )";
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[772] | 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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[1081] | 133 | //! Constructor with size and contents copied (after conversion) from a different type TArray
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| 134 | template <class T>
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| 135 | TArray<T>::TArray(const BaseArray& a)
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| 136 | : BaseArray() , mNDBlock()
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| 137 | {
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| 138 | string exmsg = "TArray<T>::TArray(const BaseArray&)";
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| 139 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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| 140 | mNDBlock.ReSize(totsize_);
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| 141 | // if (a.mInfo) mInfo = new DVList(*(a.mInfo)); - pb protected !
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| 142 | ConvertAndCopyElt(a);
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| 143 | }
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| 144 |
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[894] | 145 | //! Destructor
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[772] | 146 | template <class T>
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| 147 | TArray<T>::~TArray()
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| 148 | {
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| 149 | }
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| 150 |
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[894] | 151 | ////////////////////////// Les methodes de copie/share
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| 152 |
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| 153 | //! Set array equal to \b a and return *this
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[976] | 154 | /*!
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| 155 | \warning Datas are copied (cloned) from \b a.
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| 156 | \sa NDataBlock::operator=(const NDataBlock<T>&)
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| 157 | */
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[772] | 158 | template <class T>
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[804] | 159 | TArray<T>& TArray<T>::Set(const TArray<T>& a)
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[772] | 160 | {
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[970] | 161 | if (this == &a) return(*this);
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| 162 | if (a.NbDimensions() < 1)
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| 163 | throw RangeCheckError("TArray<T>::Set(a ) - Array a not allocated ! ");
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| 164 | if (NbDimensions() < 1) CloneOrShare(a);
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| 165 | else CopyElt(a);
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[772] | 166 | return(*this);
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| 167 | }
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| 168 |
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[1081] | 169 | //! Set array elements equal to the \b a array elements, after conversion
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| 170 | template <class T>
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| 171 | TArray<T>& TArray<T>::SetBA(const BaseArray& a)
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| 172 | {
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| 173 | if (this == &a) return(*this);
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| 174 | if (a.NbDimensions() < 1)
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| 175 | throw RangeCheckError("TArray<T>::SetBA(a ) - Array a not allocated ! ");
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| 176 | if (NbDimensions() < 1) {
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| 177 | string exmsg = "TArray<T>::SetBA(const BaseArray& a)";
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| 178 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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| 179 | mNDBlock.ReSize(totsize_);
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| 180 | }
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| 181 | ConvertAndCopyElt(a);
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| 182 | return(*this);
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| 183 | }
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| 184 |
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[894] | 185 | //! Clone array \b a
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[772] | 186 | template <class T>
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| 187 | void TArray<T>::Clone(const TArray<T>& a)
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| 188 | {
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| 189 | string exmsg = "TArray<T>::Clone()";
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| 190 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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| 191 | mNDBlock.Clone(a.mNDBlock);
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[894] | 192 | if (mInfo) {delete mInfo; mInfo = NULL;}
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[772] | 193 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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| 194 | }
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| 195 |
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[970] | 196 | //! Clone if \b a is not temporary, share if temporary
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[976] | 197 | /*! \sa NDataBlock::CloneOrShare(const NDataBlock<T>&) */
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[970] | 198 | template <class T>
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| 199 | void TArray<T>::CloneOrShare(const TArray<T>& a)
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| 200 | {
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| 201 | string exmsg = "TArray<T>::CloneOrShare()";
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[1103] | 202 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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[970] | 203 | mNDBlock.CloneOrShare(a.mNDBlock);
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[1103] | 204 | if (mInfo) {delete mInfo; mInfo = NULL;}
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| 205 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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[970] | 206 | }
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| 207 |
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| 208 | //! Share data with a
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| 209 | template <class T>
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| 210 | void TArray<T>::Share(const TArray<T>& a)
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| 211 | {
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| 212 | string exmsg = "TArray<T>::Share()";
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[1103] | 213 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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[970] | 214 | mNDBlock.Share(a.mNDBlock);
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[1103] | 215 | if (mInfo) {delete mInfo; mInfo = NULL;}
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| 216 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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[970] | 217 | }
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| 218 |
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| 219 |
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[894] | 220 | //! Resize array
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| 221 | /*!
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| 222 | \param ndim : number of dimensions
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| 223 | \param siz[ndim] : size along each dimension
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| 224 | \param step : step (same for all dimensions)
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| 225 | */
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[772] | 226 | template <class T>
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[1156] | 227 | void TArray<T>::ReSize(int_4 ndim, sa_size_t * siz, sa_size_t step)
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[772] | 228 | {
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[1099] | 229 | if (arrtype_ != 0) {
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| 230 | if (ndim != 2)
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| 231 | throw( ParmError("TArray<T>::ReSize(ndim!=2,...) for Matrix" ) );
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| 232 | if ((arrtype_ == 2) && (siz[0] > 1) && (siz[1] > 1))
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| 233 | throw( ParmError("TArray<T>::ReSize(,siz[0]>1 && size[1]>1) for Vector" ) );
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| 234 | }
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[772] | 235 | string exmsg = "TArray<T>::ReSize()";
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| 236 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
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| 237 | mNDBlock.ReSize(totsize_);
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| 238 | }
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| 239 |
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[894] | 240 | //! Re-allocate space for array
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| 241 | /*!
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| 242 | \param ndim : number of dimensions
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| 243 | \param siz[ndim] : size along each dimension
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| 244 | \param step : step (same for all dimensions)
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| 245 | \param force : if true re-allocation is forced, if not it occurs
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| 246 | only if the required space is greater than the old one.
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| 247 | */
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[772] | 248 | template <class T>
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[1156] | 249 | void TArray<T>::Realloc(int_4 ndim, sa_size_t * siz, sa_size_t step, bool force)
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[772] | 250 | {
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[1099] | 251 | if (arrtype_ != 0) {
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| 252 | if (ndim != 2)
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| 253 | throw( ParmError("TArray<T>::Realloc(ndim!=2,...) for Matrix" ) );
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| 254 | if ((arrtype_ == 2) && (siz[0] > 1) && (siz[1] > 1))
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| 255 | throw( ParmError("TArray<T>::Realloc(,siz[0]>1 && size[1]>1) for Vector" ) );
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| 256 | }
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[772] | 257 | string exmsg = "TArray<T>::Realloc()";
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| 258 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
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| 259 | mNDBlock.ReSize(totsize_);
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| 260 | }
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| 261 |
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[787] | 262 |
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[894] | 263 | //! Compact dimensions in one or more is equal to 1.
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[772] | 264 | template <class T>
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[787] | 265 | TArray<T>& TArray<T>::CompactAllDimensions()
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[772] | 266 | {
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[787] | 267 | CompactAllDim();
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| 268 | return(*this);
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[772] | 269 | }
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| 270 |
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[894] | 271 | //! Compact dimensions if the last one is equal to 1.
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[785] | 272 | template <class T>
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[787] | 273 | TArray<T>& TArray<T>::CompactTrailingDimensions()
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[785] | 274 | {
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[787] | 275 | CompactTrailingDim();
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[785] | 276 | return(*this);
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| 277 | }
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| 278 |
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[894] | 279 | //! Give value (in \b double) for element at position \b ip..
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[785] | 280 | template <class T>
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[1156] | 281 | MuTyV & TArray<T>::ValueAtPosition(sa_size_t ip) const
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[785] | 282 | {
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[787] | 283 | #ifdef SO_BOUNDCHECKING
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[1156] | 284 | if (ip >= totsize_) throw( ParmError("TArray<T>::ValueAtPosition(sa_size_t ip) Out-of-bound Error") );
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[787] | 285 | #endif
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[1081] | 286 | my_mtv = *(mNDBlock.Begin()+Offset(ip));
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| 287 | return( my_mtv );
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[785] | 288 | }
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| 289 |
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[894] | 290 | //! Return array with elements packed
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| 291 | /*!
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| 292 | \param force : if true, pack elements in a new array.
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| 293 | If false and array is already packed, return
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| 294 | an array that share data with the current one.
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| 295 | \return packed array
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| 296 | */
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[804] | 297 | template <class T>
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| 298 | TArray<T> TArray<T>::PackElements(bool force) const
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| 299 | {
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| 300 | if (NbDimensions() < 1)
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| 301 | throw RangeCheckError("TArray<T>::PackElements() - Not Allocated Array ! ");
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| 302 | if ( !force && (AvgStep() == 1) ) {
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[970] | 303 | TArray<T> ra;
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| 304 | ra.Share(*this);
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[804] | 305 | ra.SetTemp(true);
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| 306 | return(ra);
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| 307 | }
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| 308 | else {
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| 309 | TArray<T> ra(ndim_, size_, 1);
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| 310 | ra.CopyElt(*this);
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| 311 | ra.SetTemp(true);
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| 312 | return(ra);
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| 313 | }
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| 314 | }
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| 315 |
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[785] | 316 | // SubArrays
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[804] | 317 | // $CHECK$ Reza 03/2000 Doit-on declarer cette methode const ?
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[894] | 318 | //! Extract a sub-array
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| 319 | /*!
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| 320 | \param rx,ry,rz,rt,ru : range of extraction along dimensions
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| 321 | \sa Range
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| 322 | */
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[785] | 323 | template <class T>
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[804] | 324 | TArray<T> TArray<T>::SubArray(Range rx, Range ry, Range rz, Range rt, Range ru) const
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[785] | 325 | {
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[804] | 326 | if (NbDimensions() < 1)
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| 327 | throw RangeCheckError("TArray<T>::operator () (Range, ...) - Not Allocated Array ! ");
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[1156] | 328 | int_4 ndim = 0;
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| 329 | sa_size_t size[BASEARRAY_MAXNDIMS];
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| 330 | sa_size_t step[BASEARRAY_MAXNDIMS];
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| 331 | sa_size_t pos[BASEARRAY_MAXNDIMS];
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[785] | 332 | size[0] = rx.Size();
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| 333 | size[1] = ry.Size();
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| 334 | size[2] = rz.Size();
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| 335 | size[3] = rt.Size();
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| 336 | size[4] = ru.Size();
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| 337 |
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| 338 | step[0] = rx.Step();
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| 339 | step[1] = ry.Step();
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| 340 | step[2] = rz.Step();
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| 341 | step[3] = rt.Step();
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| 342 | step[4] = ru.Step();
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| 343 |
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| 344 | pos[0] = rx.Start();
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| 345 | pos[1] = ry.Start();
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| 346 | pos[2] = rz.Start();
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| 347 | pos[3] = rt.Start();
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| 348 | pos[4] = ru.Start();
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| 349 |
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| 350 | ndim = ndim_;
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| 351 | TArray<T> ra;
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[804] | 352 | UpdateSubArraySizes(ra, ndim, size, pos, step);
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[787] | 353 | ra.DataBlock().Share(this->DataBlock());
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[785] | 354 | ra.SetTemp(true);
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| 355 | return(ra);
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| 356 | }
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| 357 |
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[772] | 358 | // ...... Operation de calcul sur les tableaux ......
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| 359 | // ------- Attention --------
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| 360 | // Boucles normales prenant en compte les steps ....
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[894] | 361 | // Possibilite de // , vectorisation
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| 362 |
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| 363 | //! Fill TArray with Sequence \b seq
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| 364 | /*!
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| 365 | \param seq : sequence to fill the array
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| 366 | \sa Sequence
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| 367 | */
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[772] | 368 | template <class T>
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[1103] | 369 | TArray<T>& TArray<T>::SetSeq(Sequence const & seq)
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[772] | 370 | {
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[804] | 371 | if (NbDimensions() < 1)
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[813] | 372 | throw RangeCheckError("TArray<T>::SetSeq(Sequence ) - Not Allocated Array ! ");
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[1103] | 373 |
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[785] | 374 | T * pe;
|
---|
[1156] | 375 | sa_size_t j,k;
|
---|
| 376 | int_4 ka;
|
---|
[1103] | 377 | if (arrtype_ == 0) ka = 0;
|
---|
| 378 | else ka = macoli_;
|
---|
[1156] | 379 | sa_size_t step = Step(ka);
|
---|
| 380 | sa_size_t gpas = Size(ka);
|
---|
| 381 | sa_size_t naxa = Size()/Size(ka);
|
---|
[1103] | 382 | for(j=0; j<naxa; j++) {
|
---|
| 383 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
| 384 | #if !defined(__GNUG__)
|
---|
| 385 | for(k=0; k<gpas; k++) pe[k*step] = (T) seq(j*gpas+k);
|
---|
| 386 | #else
|
---|
| 387 | // g++ (up to 2.95.1) se melange les pinceaux s'il y a le cast (T) pour l'instanciation des complexes
|
---|
| 388 | for(k=0; k<gpas; k++) pe[k*step] = seq(j*gpas+k);
|
---|
| 389 | #endif
|
---|
[785] | 390 | }
|
---|
[772] | 391 | return(*this);
|
---|
| 392 | }
|
---|
| 393 |
|
---|
| 394 | // >>>> Operations avec 2nd membre de type scalaire
|
---|
| 395 |
|
---|
[894] | 396 | //! Fill an array with a constant value \b x
|
---|
[772] | 397 | template <class T>
|
---|
[813] | 398 | TArray<T>& TArray<T>::SetT(T x)
|
---|
[772] | 399 | {
|
---|
[804] | 400 | if (NbDimensions() < 1)
|
---|
[813] | 401 | throw RangeCheckError("TArray<T>::SetT(T ) - Not Allocated Array ! ");
|
---|
[785] | 402 | T * pe;
|
---|
[1156] | 403 | sa_size_t j,k;
|
---|
[785] | 404 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
[1156] | 405 | sa_size_t step = AvgStep();
|
---|
| 406 | sa_size_t maxx = totsize_*step;
|
---|
[785] | 407 | pe = Data();
|
---|
| 408 | for(k=0; k<maxx; k+=step ) pe[k] = x;
|
---|
| 409 | }
|
---|
| 410 | else { // Non regular data spacing ...
|
---|
[1156] | 411 | int_4 ka = MaxSizeKA();
|
---|
| 412 | sa_size_t step = Step(ka);
|
---|
| 413 | sa_size_t gpas = Size(ka)*step;
|
---|
| 414 | sa_size_t naxa = Size()/Size(ka);
|
---|
[813] | 415 | for(j=0; j<naxa; j++) {
|
---|
| 416 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[785] | 417 | for(k=0; k<gpas; k+=step) pe[k] = x;
|
---|
| 418 | }
|
---|
| 419 | }
|
---|
[772] | 420 | return(*this);
|
---|
| 421 | }
|
---|
| 422 |
|
---|
[894] | 423 | //! Add a constant value \b x to an array
|
---|
[772] | 424 | template <class T>
|
---|
[804] | 425 | TArray<T>& TArray<T>::Add(T x)
|
---|
[772] | 426 | {
|
---|
[804] | 427 | if (NbDimensions() < 1)
|
---|
| 428 | throw RangeCheckError("TArray<T>::Add(T ) - Not Allocated Array ! ");
|
---|
[785] | 429 | T * pe;
|
---|
[1156] | 430 | sa_size_t j,k;
|
---|
[785] | 431 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
[1156] | 432 | sa_size_t step = AvgStep();
|
---|
| 433 | sa_size_t maxx = totsize_*step;
|
---|
[785] | 434 | pe = Data();
|
---|
| 435 | for(k=0; k<maxx; k+=step ) pe[k] += x;
|
---|
| 436 | }
|
---|
| 437 | else { // Non regular data spacing ...
|
---|
[1156] | 438 | int_4 ka = MaxSizeKA();
|
---|
| 439 | sa_size_t step = Step(ka);
|
---|
| 440 | sa_size_t gpas = Size(ka)*step;
|
---|
| 441 | sa_size_t naxa = Size()/Size(ka);
|
---|
[813] | 442 | for(j=0; j<naxa; j++) {
|
---|
| 443 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[785] | 444 | for(k=0; k<gpas; k+=step) pe[k] += x;
|
---|
| 445 | }
|
---|
| 446 | }
|
---|
[772] | 447 | return(*this);
|
---|
| 448 | }
|
---|
| 449 |
|
---|
[894] | 450 | //! Substract a constant value \b x to an array
|
---|
[970] | 451 | /*!
|
---|
| 452 | Substract a constant from the *this = *this-x
|
---|
| 453 | \param fginv == true : Perfoms the inverse subtraction (*this = x-(*this))
|
---|
| 454 | */
|
---|
[772] | 455 | template <class T>
|
---|
[970] | 456 | TArray<T>& TArray<T>::Sub(T x, bool fginv)
|
---|
[772] | 457 | {
|
---|
[804] | 458 | if (NbDimensions() < 1)
|
---|
| 459 | throw RangeCheckError("TArray<T>::Sub(T ) - Not Allocated Array ! ");
|
---|
[785] | 460 | T * pe;
|
---|
[1156] | 461 | sa_size_t j,k;
|
---|
[785] | 462 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
[1156] | 463 | sa_size_t step = AvgStep();
|
---|
| 464 | sa_size_t maxx = totsize_*step;
|
---|
[785] | 465 | pe = Data();
|
---|
[970] | 466 | if (fginv)
|
---|
| 467 | for(k=0; k<maxx; k+=step ) pe[k] = x-pe[k];
|
---|
| 468 | else
|
---|
| 469 | for(k=0; k<maxx; k+=step ) pe[k] -= x;
|
---|
[785] | 470 | }
|
---|
| 471 | else { // Non regular data spacing ...
|
---|
[1156] | 472 | int_4 ka = MaxSizeKA();
|
---|
| 473 | sa_size_t step = Step(ka);
|
---|
| 474 | sa_size_t gpas = Size(ka)*step;
|
---|
| 475 | sa_size_t naxa = Size()/Size(ka);
|
---|
[813] | 476 | for(j=0; j<naxa; j++) {
|
---|
| 477 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[970] | 478 | if (fginv)
|
---|
| 479 | for(k=0; k<gpas; k+=step) pe[k] = x-pe[k];
|
---|
| 480 | else
|
---|
| 481 | for(k=0; k<gpas; k+=step) pe[k] -= x;
|
---|
[785] | 482 | }
|
---|
| 483 | }
|
---|
[772] | 484 | return(*this);
|
---|
| 485 | }
|
---|
| 486 |
|
---|
[894] | 487 | //! Multiply an array by a constant value \b x
|
---|
[772] | 488 | template <class T>
|
---|
[804] | 489 | TArray<T>& TArray<T>::Mul(T x)
|
---|
[772] | 490 | {
|
---|
[804] | 491 | if (NbDimensions() < 1)
|
---|
| 492 | throw RangeCheckError("TArray<T>::Mul(T ) - Not Allocated Array ! ");
|
---|
[785] | 493 | T * pe;
|
---|
[1156] | 494 | sa_size_t j,k;
|
---|
[785] | 495 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
[1156] | 496 | sa_size_t step = AvgStep();
|
---|
| 497 | sa_size_t maxx = totsize_*step;
|
---|
[785] | 498 | pe = Data();
|
---|
| 499 | for(k=0; k<maxx; k+=step ) pe[k] *= x;
|
---|
| 500 | }
|
---|
| 501 | else { // Non regular data spacing ...
|
---|
[1156] | 502 | int_4 ka = MaxSizeKA();
|
---|
| 503 | sa_size_t step = Step(ka);
|
---|
| 504 | sa_size_t gpas = Size(ka)*step;
|
---|
| 505 | sa_size_t naxa = Size()/Size(ka);
|
---|
[813] | 506 | for(j=0; j<naxa; j++) {
|
---|
| 507 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[785] | 508 | for(k=0; k<gpas; k+=step) pe[k] *= x;
|
---|
| 509 | }
|
---|
| 510 | }
|
---|
[772] | 511 | return(*this);
|
---|
| 512 | }
|
---|
| 513 |
|
---|
[894] | 514 | //! Divide an array by a constant value \b x
|
---|
[970] | 515 | /*!
|
---|
| 516 | Divide the array by a constant *this = *this/x
|
---|
| 517 | \param fginv == true : Perfoms the inverse division (*this = x/(*this))
|
---|
| 518 | */
|
---|
[772] | 519 | template <class T>
|
---|
[970] | 520 | TArray<T>& TArray<T>::Div(T x, bool fginv)
|
---|
[772] | 521 | {
|
---|
[804] | 522 | if (NbDimensions() < 1)
|
---|
| 523 | throw RangeCheckError("TArray<T>::Div(T ) - Not Allocated Array ! ");
|
---|
[970] | 524 | if (!fginv && (x == (T) 0) )
|
---|
[894] | 525 | throw MathExc("TArray<T>::Div(T ) - Divide by zero ! ");
|
---|
[785] | 526 | T * pe;
|
---|
[1156] | 527 | sa_size_t j,k;
|
---|
[785] | 528 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
[1156] | 529 | sa_size_t step = AvgStep();
|
---|
| 530 | sa_size_t maxx = totsize_*step;
|
---|
[785] | 531 | pe = Data();
|
---|
[970] | 532 | if (fginv)
|
---|
| 533 | for(k=0; k<maxx; k+=step ) pe[k] = x/pe[k];
|
---|
| 534 | else
|
---|
| 535 | for(k=0; k<maxx; k+=step ) pe[k] /= x;
|
---|
[785] | 536 | }
|
---|
| 537 | else { // Non regular data spacing ...
|
---|
[1156] | 538 | int_4 ka = MaxSizeKA();
|
---|
| 539 | sa_size_t step = Step(ka);
|
---|
| 540 | sa_size_t gpas = Size(ka)*step;
|
---|
| 541 | sa_size_t naxa = Size()/Size(ka);
|
---|
[813] | 542 | for(j=0; j<naxa; j++) {
|
---|
| 543 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[970] | 544 | if (fginv)
|
---|
| 545 | for(k=0; k<gpas; k+=step) pe[k] = x/pe[k];
|
---|
| 546 | else
|
---|
| 547 | for(k=0; k<gpas; k+=step) pe[k] /= x;
|
---|
[785] | 548 | }
|
---|
| 549 | }
|
---|
[772] | 550 | return(*this);
|
---|
| 551 | }
|
---|
| 552 |
|
---|
| 553 |
|
---|
[1156] | 554 | //! Replace array elements values by their opposite ( a(i) -> -a(i) )
|
---|
| 555 | template <class T>
|
---|
| 556 | TArray<T>& TArray<T>::NegateElt()
|
---|
| 557 | {
|
---|
| 558 | if (NbDimensions() < 1)
|
---|
| 559 | throw RangeCheckError("TArray<T>::NegateElt() - Not Allocated Array ! ");
|
---|
| 560 | T * pe;
|
---|
| 561 | sa_size_t j,k;
|
---|
| 562 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
| 563 | sa_size_t step = AvgStep();
|
---|
| 564 | sa_size_t maxx = totsize_*step;
|
---|
| 565 | pe = Data();
|
---|
| 566 | for(k=0; k<maxx; k+=step ) pe[k] = -pe[k];
|
---|
| 567 | }
|
---|
| 568 | else { // Non regular data spacing ...
|
---|
| 569 | int_4 ka = MaxSizeKA();
|
---|
| 570 | sa_size_t step = Step(ka);
|
---|
| 571 | sa_size_t gpas = Size(ka)*step;
|
---|
| 572 | sa_size_t naxa = Size()/Size(ka);
|
---|
| 573 | for(j=0; j<naxa; j++) {
|
---|
| 574 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
| 575 | for(k=0; k<gpas; k+=step) pe[k] = -pe[k];
|
---|
| 576 | }
|
---|
| 577 | }
|
---|
| 578 | return(*this);
|
---|
| 579 | }
|
---|
[804] | 580 |
|
---|
[772] | 581 | // >>>> Operations avec 2nd membre de type tableau
|
---|
[894] | 582 | //! Add two TArrays
|
---|
[772] | 583 | template <class T>
|
---|
[804] | 584 | TArray<T>& TArray<T>::AddElt(const TArray<T>& a)
|
---|
[772] | 585 | {
|
---|
[804] | 586 | if (NbDimensions() < 1)
|
---|
| 587 | throw RangeCheckError("TArray<T>::AddElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[1099] | 588 | bool smo;
|
---|
| 589 | if (!CompareSizes(a, smo))
|
---|
[813] | 590 | throw(SzMismatchError("TArray<T>::AddElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[785] | 591 |
|
---|
| 592 | T * pe;
|
---|
| 593 | const T * pea;
|
---|
[1156] | 594 | sa_size_t j,k,ka;
|
---|
[1099] | 595 | if (smo && (AvgStep() > 0) && (a.AvgStep() > 0)) { // regularly spaced elements
|
---|
[1156] | 596 | sa_size_t step = AvgStep();
|
---|
| 597 | sa_size_t stepa = a.AvgStep();
|
---|
| 598 | sa_size_t maxx = totsize_*step;
|
---|
[785] | 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 ...
|
---|
[1156] | 604 | int_4 ax,axa;
|
---|
| 605 | sa_size_t step, stepa;
|
---|
| 606 | sa_size_t gpas, naxa;
|
---|
[1099] | 607 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
[813] | 608 | for(j=0; j<naxa; j++) {
|
---|
| 609 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
[1099] | 610 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
[785] | 611 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] += pea[ka];
|
---|
| 612 | }
|
---|
| 613 | }
|
---|
[772] | 614 | return(*this);
|
---|
| 615 | }
|
---|
| 616 |
|
---|
[894] | 617 | //! Substract two TArrays
|
---|
[970] | 618 | /*!
|
---|
| 619 | Substract two TArrays *this = *this-a
|
---|
| 620 | \param fginv == true : Perfoms the inverse subtraction (*this = a-(*this))
|
---|
| 621 | */
|
---|
[772] | 622 | template <class T>
|
---|
[970] | 623 | TArray<T>& TArray<T>::SubElt(const TArray<T>& a, bool fginv)
|
---|
[772] | 624 | {
|
---|
[804] | 625 | if (NbDimensions() < 1)
|
---|
| 626 | throw RangeCheckError("TArray<T>::SubElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[1099] | 627 | bool smo;
|
---|
| 628 | if (!CompareSizes(a, smo))
|
---|
[813] | 629 | throw(SzMismatchError("TArray<T>::SubElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[785] | 630 |
|
---|
| 631 | T * pe;
|
---|
| 632 | const T * pea;
|
---|
[1156] | 633 | sa_size_t j,k,ka;
|
---|
[1099] | 634 | if (smo && (AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
[1156] | 635 | sa_size_t step = AvgStep();
|
---|
| 636 | sa_size_t stepa = a.AvgStep();
|
---|
| 637 | sa_size_t maxx = totsize_*step;
|
---|
[785] | 638 | pe = Data();
|
---|
| 639 | pea = a.Data();
|
---|
[970] | 640 | if (fginv)
|
---|
| 641 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] = pea[ka]-pe[k] ;
|
---|
| 642 | else
|
---|
| 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 ...
|
---|
[1156] | 646 | int_4 ax,axa;
|
---|
| 647 | sa_size_t step, stepa;
|
---|
| 648 | sa_size_t gpas, naxa;
|
---|
[1099] | 649 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
[813] | 650 | for(j=0; j<naxa; j++) {
|
---|
| 651 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
[1099] | 652 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
[970] | 653 | if (fginv)
|
---|
| 654 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = pea[ka]-pe[k] ;
|
---|
| 655 | else
|
---|
| 656 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] -= pea[ka];
|
---|
[785] | 657 | }
|
---|
| 658 | }
|
---|
[772] | 659 | return(*this);
|
---|
| 660 | }
|
---|
| 661 |
|
---|
[970] | 662 |
|
---|
[894] | 663 | //! Multiply two TArrays (elements by elements)
|
---|
[772] | 664 | template <class T>
|
---|
[804] | 665 | TArray<T>& TArray<T>::MulElt(const TArray<T>& a)
|
---|
[772] | 666 | {
|
---|
[804] | 667 | if (NbDimensions() < 1)
|
---|
| 668 | throw RangeCheckError("TArray<T>::MulElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[1099] | 669 | bool smo;
|
---|
| 670 | if (!CompareSizes(a, smo))
|
---|
[813] | 671 | throw(SzMismatchError("TArray<T>::MulElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[785] | 672 |
|
---|
| 673 | T * pe;
|
---|
| 674 | const T * pea;
|
---|
[1156] | 675 | sa_size_t j,k,ka;
|
---|
[1099] | 676 | if (smo && (AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
[1156] | 677 | sa_size_t step = AvgStep();
|
---|
| 678 | sa_size_t stepa = a.AvgStep();
|
---|
| 679 | sa_size_t maxx = totsize_*step;
|
---|
[785] | 680 | pe = Data();
|
---|
| 681 | pea = a.Data();
|
---|
| 682 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] *= pea[ka] ;
|
---|
[772] | 683 | }
|
---|
[785] | 684 | else { // Non regular data spacing ...
|
---|
[1156] | 685 | int_4 ax,axa;
|
---|
| 686 | sa_size_t step, stepa;
|
---|
| 687 | sa_size_t gpas, naxa;
|
---|
[1099] | 688 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
[813] | 689 | for(j=0; j<naxa; j++) {
|
---|
[1099] | 690 | pe = mNDBlock.Begin()+Offset(axa,j);
|
---|
| 691 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
[785] | 692 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] *= pea[ka];
|
---|
| 693 | }
|
---|
| 694 | }
|
---|
[772] | 695 | return(*this);
|
---|
| 696 | }
|
---|
| 697 |
|
---|
[804] | 698 |
|
---|
[894] | 699 | //! Divide two TArrays (elements by elements)
|
---|
[970] | 700 | /*!
|
---|
| 701 | Divide two TArrays *this = (*this)/a
|
---|
| 702 | \param fginv == true : Perfoms the inverse division (*this = a/(*this))
|
---|
[1072] | 703 | \param divzero == true : if a(i)==0. result is set to zero: (*this)(i)==0.
|
---|
[970] | 704 | */
|
---|
[772] | 705 | template <class T>
|
---|
[1072] | 706 | TArray<T>& TArray<T>::DivElt(const TArray<T>& a, bool fginv, bool divzero)
|
---|
[772] | 707 | {
|
---|
[804] | 708 | if (NbDimensions() < 1)
|
---|
| 709 | throw RangeCheckError("TArray<T>::DivElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[1099] | 710 | bool smo;
|
---|
| 711 | if (!CompareSizes(a, smo))
|
---|
[813] | 712 | throw(SzMismatchError("TArray<T>::DivElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[785] | 713 |
|
---|
| 714 | T * pe;
|
---|
| 715 | const T * pea;
|
---|
[1156] | 716 | sa_size_t j,k,ka;
|
---|
[1099] | 717 | if (smo && (AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
[1156] | 718 | sa_size_t step = AvgStep();
|
---|
| 719 | sa_size_t stepa = a.AvgStep();
|
---|
| 720 | sa_size_t maxx = totsize_*step;
|
---|
[785] | 721 | pe = Data();
|
---|
| 722 | pea = a.Data();
|
---|
[1072] | 723 | if(divzero) {
|
---|
| 724 | if (fginv)
|
---|
| 725 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa )
|
---|
| 726 | {if(pe[k]==(T)0) pe[k] = (T)0; else pe[k] = pea[ka]/pe[k];}
|
---|
| 727 | else
|
---|
| 728 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa )
|
---|
| 729 | {if(pea[k]==(T)0) pe[k] = (T)0; else pe[k] /= pea[ka] ;}
|
---|
| 730 | } else {
|
---|
| 731 | if (fginv)
|
---|
| 732 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] = pea[ka]/pe[k];
|
---|
| 733 | else
|
---|
| 734 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] /= pea[ka] ;
|
---|
| 735 | }
|
---|
[772] | 736 | }
|
---|
[785] | 737 | else { // Non regular data spacing ...
|
---|
[1156] | 738 | int_4 ax,axa;
|
---|
| 739 | sa_size_t step, stepa;
|
---|
| 740 | sa_size_t gpas, naxa;
|
---|
[1099] | 741 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
[813] | 742 | for(j=0; j<naxa; j++) {
|
---|
| 743 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
[1099] | 744 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
[1072] | 745 | if(divzero) {
|
---|
| 746 | if (fginv)
|
---|
| 747 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa)
|
---|
| 748 | {if(pe[k]==(T)0) pe[k] = (T)0; else pe[k] = pea[ka]/pe[k];}
|
---|
| 749 | else
|
---|
| 750 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa)
|
---|
| 751 | {if(pea[k]==(T)0) pe[k] = (T)0; else pe[k] /= pea[ka];}
|
---|
| 752 | } else {
|
---|
| 753 | if (fginv)
|
---|
| 754 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = pea[ka]/pe[k];
|
---|
| 755 | else
|
---|
| 756 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] /= pea[ka];
|
---|
| 757 | }
|
---|
[785] | 758 | }
|
---|
| 759 | }
|
---|
[772] | 760 | return(*this);
|
---|
| 761 | }
|
---|
| 762 |
|
---|
[894] | 763 | //! Copy elements of \b a
|
---|
[804] | 764 | template <class T>
|
---|
| 765 | TArray<T>& TArray<T>::CopyElt(const TArray<T>& a)
|
---|
| 766 | {
|
---|
| 767 | if (NbDimensions() < 1)
|
---|
| 768 | throw RangeCheckError("TArray<T>::CopyElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[1099] | 769 | bool smo;
|
---|
| 770 | if (!CompareSizes(a, smo))
|
---|
[1050] | 771 | throw(SzMismatchError("TArray<T>::CopyElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[772] | 772 |
|
---|
[804] | 773 | T * pe;
|
---|
| 774 | const T * pea;
|
---|
[1156] | 775 | sa_size_t j,k,ka;
|
---|
[1099] | 776 | if (smo && (AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
[1156] | 777 | sa_size_t step = AvgStep();
|
---|
| 778 | sa_size_t stepa = a.AvgStep();
|
---|
| 779 | sa_size_t maxx = totsize_*step;
|
---|
[804] | 780 | pe = Data();
|
---|
| 781 | pea = a.Data();
|
---|
| 782 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] = pea[ka] ;
|
---|
| 783 | }
|
---|
| 784 | else { // Non regular data spacing ...
|
---|
[1156] | 785 | int_4 ax,axa;
|
---|
| 786 | sa_size_t step, stepa;
|
---|
| 787 | sa_size_t gpas, naxa;
|
---|
[1099] | 788 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
[813] | 789 | for(j=0; j<naxa; j++) {
|
---|
| 790 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
[1099] | 791 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
[804] | 792 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = pea[ka];
|
---|
| 793 | }
|
---|
| 794 | }
|
---|
| 795 | return(*this);
|
---|
| 796 | }
|
---|
| 797 |
|
---|
[1081] | 798 | //! Converts and Copy elements of \b a
|
---|
| 799 | template <class T>
|
---|
| 800 | TArray<T>& TArray<T>::ConvertAndCopyElt(const BaseArray& a)
|
---|
| 801 | {
|
---|
| 802 | if (NbDimensions() < 1)
|
---|
| 803 | throw RangeCheckError("TArray<T>::ConvertAndCopyElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
[1099] | 804 | bool smo;
|
---|
| 805 | if (!CompareSizes(a, smo))
|
---|
[1081] | 806 | throw(SzMismatchError("TArray<T>::ConvertAndCopyElt(const TArray<T>&) SizeMismatch")) ;
|
---|
[804] | 807 |
|
---|
[1081] | 808 | T * pe;
|
---|
[1156] | 809 | sa_size_t j,k,ka;
|
---|
| 810 | sa_size_t offa;
|
---|
[1081] | 811 | // Non regular data spacing ...
|
---|
[1156] | 812 | int_4 ax,axa;
|
---|
| 813 | sa_size_t step, stepa;
|
---|
| 814 | sa_size_t gpas, naxa;
|
---|
[1099] | 815 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
[1081] | 816 | for(j=0; j<naxa; j++) {
|
---|
| 817 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
[1099] | 818 | offa = a.Offset(axa,j);
|
---|
[1085] | 819 | #if !defined(__GNUG__)
|
---|
| 820 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = (T)a.ValueAtPosition(offa+ka);
|
---|
| 821 | #else
|
---|
| 822 | // g++ (up to 2.95.1) se melange les pinceaux s'il y a le cast (T) pour l'instanciation des complexes
|
---|
[1081] | 823 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = a.ValueAtPosition(offa+ka);
|
---|
[1085] | 824 | #endif
|
---|
[1081] | 825 | }
|
---|
| 826 | return(*this);
|
---|
| 827 | }
|
---|
| 828 |
|
---|
| 829 |
|
---|
[804] | 830 | // Somme et produit des elements
|
---|
[894] | 831 | //! Sum all elements
|
---|
[804] | 832 | template <class T>
|
---|
| 833 | T TArray<T>::Sum() const
|
---|
| 834 | {
|
---|
| 835 | if (NbDimensions() < 1)
|
---|
| 836 | throw RangeCheckError("TArray<T>::Sum() - Not Allocated Array ! ");
|
---|
| 837 | T ret=0;
|
---|
| 838 | const T * pe;
|
---|
[1156] | 839 | sa_size_t j,k;
|
---|
[804] | 840 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
[1156] | 841 | sa_size_t step = AvgStep();
|
---|
| 842 | sa_size_t maxx = totsize_*step;
|
---|
[804] | 843 | pe = Data();
|
---|
| 844 | for(k=0; k<maxx; k+=step ) ret += pe[k];
|
---|
| 845 | }
|
---|
| 846 | else { // Non regular data spacing ...
|
---|
[1156] | 847 | int_4 ka = MaxSizeKA();
|
---|
| 848 | sa_size_t step = Step(ka);
|
---|
| 849 | sa_size_t gpas = Size(ka)*step;
|
---|
| 850 | sa_size_t naxa = Size()/Size(ka);
|
---|
[813] | 851 | for(j=0; j<naxa; j++) {
|
---|
| 852 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[804] | 853 | for(k=0; k<gpas; k+=step) ret += pe[k] ;
|
---|
| 854 | }
|
---|
| 855 | }
|
---|
| 856 | return ret;
|
---|
| 857 | }
|
---|
| 858 |
|
---|
[894] | 859 | //! Multiply all elements
|
---|
[804] | 860 | template <class T>
|
---|
| 861 | T TArray<T>::Product() const
|
---|
| 862 | {
|
---|
| 863 | if (NbDimensions() < 1)
|
---|
| 864 | throw RangeCheckError("TArray<T>::Product() - Not Allocated Array ! ");
|
---|
[1113] | 865 | T ret=(T)1;
|
---|
[804] | 866 | const T * pe;
|
---|
[1156] | 867 | sa_size_t j,k;
|
---|
[804] | 868 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
[1156] | 869 | sa_size_t step = AvgStep();
|
---|
| 870 | sa_size_t maxx = totsize_*step;
|
---|
[804] | 871 | pe = Data();
|
---|
| 872 | for(k=0; k<maxx; k+=step ) ret *= pe[k];
|
---|
| 873 | }
|
---|
| 874 | else { // Non regular data spacing ...
|
---|
[1156] | 875 | int_4 ka = MaxSizeKA();
|
---|
| 876 | sa_size_t step = Step(ka);
|
---|
| 877 | sa_size_t gpas = Size(ka)*step;
|
---|
| 878 | sa_size_t naxa = Size()/Size(ka);
|
---|
[813] | 879 | for(j=0; j<naxa; j++) {
|
---|
| 880 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
[804] | 881 | for(k=0; k<gpas; k+=step) ret *= pe[k] ;
|
---|
| 882 | }
|
---|
| 883 | }
|
---|
| 884 | return ret;
|
---|
| 885 | }
|
---|
| 886 |
|
---|
[1113] | 887 | //! Returns the sum of all elements squared (Sum
|
---|
| 888 | template <class T>
|
---|
| 889 | T TArray<T>::SumX2() const
|
---|
| 890 | {
|
---|
| 891 | if (NbDimensions() < 1)
|
---|
| 892 | throw RangeCheckError("TArray<T>::SumX2() - Not Allocated Array ! ");
|
---|
| 893 | T ret=0;
|
---|
| 894 | const T * pe;
|
---|
[1156] | 895 | sa_size_t j,k;
|
---|
[1113] | 896 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
[1156] | 897 | sa_size_t step = AvgStep();
|
---|
| 898 | sa_size_t maxx = totsize_*step;
|
---|
[1113] | 899 | pe = Data();
|
---|
| 900 | for(k=0; k<maxx; k+=step ) ret += pe[k]*pe[k];
|
---|
| 901 | }
|
---|
| 902 | else { // Non regular data spacing ...
|
---|
[1156] | 903 | int_4 ka = MaxSizeKA();
|
---|
| 904 | sa_size_t step = Step(ka);
|
---|
| 905 | sa_size_t gpas = Size(ka)*step;
|
---|
| 906 | sa_size_t naxa = Size()/Size(ka);
|
---|
[1113] | 907 | for(j=0; j<naxa; j++) {
|
---|
| 908 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
| 909 | for(k=0; k<gpas; k+=step) ret += pe[k]*pe[k] ;
|
---|
| 910 | }
|
---|
| 911 | }
|
---|
| 912 | return ret;
|
---|
| 913 | }
|
---|
[804] | 914 |
|
---|
[1113] | 915 | //! Return the minimum and the maximum values of the array elements
|
---|
| 916 | /*!
|
---|
| 917 | This method generates an exception (\c MathExc) if called for complex arrays
|
---|
| 918 | */
|
---|
| 919 | template <class T>
|
---|
| 920 | void TArray<T>::MinMax(T& min, T& max) const
|
---|
| 921 | {
|
---|
| 922 | const T * pe;
|
---|
[1156] | 923 | sa_size_t j,k;
|
---|
| 924 | int_4 ka = MaxSizeKA();
|
---|
| 925 | sa_size_t step = Step(ka);
|
---|
| 926 | sa_size_t gpas = Size(ka)*step;
|
---|
| 927 | sa_size_t naxa = Size()/Size(ka);
|
---|
[1113] | 928 | min = (*this)[0];
|
---|
| 929 | max = (*this)[0];
|
---|
| 930 | for(j=0; j<naxa; j++) {
|
---|
| 931 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
| 932 | for(k=0; k<gpas; k+=step) {
|
---|
| 933 | if (pe[k]<min) min = pe[k];
|
---|
| 934 | else if (pe[k]>max) max = pe[k];
|
---|
| 935 | }
|
---|
| 936 | }
|
---|
| 937 | return;
|
---|
| 938 | }
|
---|
[804] | 939 |
|
---|
[1113] | 940 | void TArray< complex<r_4> >::MinMax(complex<r_4>& min, complex<r_4>& max) const
|
---|
| 941 | {
|
---|
| 942 | throw MathExc("TArray< complex<r_4> >::MinMax(...) - No order in complex");
|
---|
| 943 | }
|
---|
| 944 |
|
---|
| 945 | void TArray< complex<r_8> >::MinMax(complex<r_8>& min, complex<r_8>& max) const
|
---|
| 946 | {
|
---|
| 947 | throw MathExc("TArray< complex<r_4> >::MinMax(...) - No order in complex");
|
---|
| 948 | }
|
---|
| 949 |
|
---|
[772] | 950 | // ----------------------------------------------------
|
---|
| 951 | // Impression, etc ...
|
---|
| 952 | // ----------------------------------------------------
|
---|
| 953 |
|
---|
[894] | 954 | //! Return a string that contain the type \b T of the array
|
---|
[772] | 955 | template <class T>
|
---|
[813] | 956 | string TArray<T>::InfoString() const
|
---|
[772] | 957 | {
|
---|
[813] | 958 | string rs = "TArray<" ;
|
---|
| 959 | rs += typeid(T).name();
|
---|
| 960 | rs += "> ";
|
---|
[787] | 961 | return(rs);
|
---|
[772] | 962 | }
|
---|
| 963 |
|
---|
[894] | 964 | //! Print array
|
---|
| 965 | /*!
|
---|
| 966 | \param os : output stream
|
---|
| 967 | \param maxprt : maximum numer of print
|
---|
| 968 | \param si : if true, display attached DvList
|
---|
| 969 | \sa SetMaxPrint
|
---|
| 970 | */
|
---|
[772] | 971 | template <class T>
|
---|
| 972 | void TArray<T>::Print(ostream& os, int_4 maxprt, bool si) const
|
---|
| 973 | {
|
---|
| 974 | if (maxprt < 0) maxprt = max_nprt_;
|
---|
[1156] | 975 | sa_size_t npr = 0;
|
---|
[772] | 976 | Show(os, si);
|
---|
[850] | 977 | if (ndim_ < 1) return;
|
---|
[1156] | 978 | sa_size_t k0,k1,k2,k3,k4;
|
---|
[772] | 979 | for(k4=0; k4<size_[4]; k4++) {
|
---|
[785] | 980 | if (size_[4] > 1) cout << "\n ----- Dimension 5 (U) K4= " << k4 << endl;
|
---|
[772] | 981 | for(k3=0; k3<size_[3]; k3++) {
|
---|
[785] | 982 | if (size_[3] > 1) cout << "\n ----- Dimension 4 (T) K3= " << k3 << endl;
|
---|
[772] | 983 | for(k2=0; k2<size_[2]; k2++) {
|
---|
[785] | 984 | if (size_[2] > 1) cout << "\n ----- Dimension 3 (Z) K2= " << k2 << endl;
|
---|
[772] | 985 | for(k1=0; k1<size_[1]; k1++) {
|
---|
[785] | 986 | if ( (size_[1] > 1) && (size_[0] > 10) ) cout << "----- Dimension 2 (Y) K1= " << k1 << endl;
|
---|
[772] | 987 | for(k0=0; k0<size_[0]; k0++) {
|
---|
[785] | 988 | if(k0 > 0) os << ", ";
|
---|
| 989 | os << Elem(k0, k1, k2, k3, k4); npr++;
|
---|
[1156] | 990 | if (npr >= (sa_size_t) maxprt) {
|
---|
[772] | 991 | if (npr < totsize_) os << "\n .... " << endl; return;
|
---|
| 992 | }
|
---|
| 993 | }
|
---|
| 994 | os << endl;
|
---|
| 995 | }
|
---|
| 996 | }
|
---|
| 997 | }
|
---|
| 998 | }
|
---|
[813] | 999 | os << endl;
|
---|
[772] | 1000 | }
|
---|
| 1001 |
|
---|
| 1002 |
|
---|
| 1003 |
|
---|
| 1004 | ///////////////////////////////////////////////////////////////
|
---|
| 1005 | ///////////////////////////////////////////////////////////////
|
---|
| 1006 | #ifdef __CXX_PRAGMA_TEMPLATES__
|
---|
[804] | 1007 | /*
|
---|
[772] | 1008 | #pragma define_template TArray<uint_1>
|
---|
[804] | 1009 | #pragma define_template TArray<int_2>
|
---|
| 1010 | #pragma define_template TArray<uint_4>
|
---|
| 1011 | #pragma define_template TArray<uint_8>
|
---|
| 1012 | */
|
---|
[772] | 1013 | #pragma define_template TArray<uint_2>
|
---|
| 1014 | #pragma define_template TArray<int_4>
|
---|
| 1015 | #pragma define_template TArray<int_8>
|
---|
| 1016 | #pragma define_template TArray<r_4>
|
---|
| 1017 | #pragma define_template TArray<r_8>
|
---|
| 1018 | #pragma define_template TArray< complex<r_4> >
|
---|
| 1019 | #pragma define_template TArray< complex<r_8> >
|
---|
| 1020 | #endif
|
---|
| 1021 |
|
---|
| 1022 | #if defined(ANSI_TEMPLATES) || defined(GNU_TEMPLATES)
|
---|
[804] | 1023 | /*
|
---|
| 1024 | template class TArray<uint_1>;
|
---|
| 1025 | template class TArray<int_2>;
|
---|
| 1026 | template class TArray<uint_4>;
|
---|
| 1027 | template class TArray<uint_8>;
|
---|
| 1028 | */
|
---|
[772] | 1029 | template class TArray<uint_2>;
|
---|
| 1030 | template class TArray<int_4>;
|
---|
| 1031 | template class TArray<int_8>;
|
---|
| 1032 | template class TArray<r_4>;
|
---|
| 1033 | template class TArray<r_8>;
|
---|
| 1034 | template class TArray< complex<r_4> >;
|
---|
| 1035 | template class TArray< complex<r_8> >;
|
---|
| 1036 | #endif
|
---|
| 1037 |
|
---|
| 1038 |
|
---|