| [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; | 
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| [1156] | 375 | sa_size_t j,k; | 
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|  | 376 | int_4 ka; | 
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| [1103] | 377 | if (arrtype_ == 0)  ka = 0; | 
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|  | 378 | else ka = macoli_; | 
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| [1156] | 379 | sa_size_t step = Step(ka); | 
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|  | 380 | sa_size_t gpas = Size(ka); | 
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|  | 381 | sa_size_t naxa = Size()/Size(ka); | 
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| [1103] | 382 | for(j=0; j<naxa; j++)  { | 
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|  | 383 | pe = mNDBlock.Begin()+Offset(ka,j); | 
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|  | 384 | #if !defined(__GNUG__) | 
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|  | 385 | for(k=0; k<gpas; k++)  pe[k*step] = (T) seq(j*gpas+k); | 
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|  | 386 | #else | 
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|  | 387 | // g++ (up to 2.95.1) se melange les pinceaux  s'il y a le cast (T) pour l'instanciation des complexes | 
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|  | 388 | for(k=0; k<gpas; k++)  pe[k*step] = seq(j*gpas+k); | 
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|  | 389 | #endif | 
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| [785] | 390 | } | 
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| [772] | 391 | return(*this); | 
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|  | 392 | } | 
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|  | 393 |  | 
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|  | 394 | //  >>>> Operations avec 2nd membre de type scalaire | 
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|  | 395 |  | 
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| [894] | 396 | //! Fill an array with a constant value \b x | 
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| [772] | 397 | template <class T> | 
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| [813] | 398 | TArray<T>& TArray<T>::SetT(T x) | 
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| [772] | 399 | { | 
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| [804] | 400 | if (NbDimensions() < 1) | 
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| [813] | 401 | throw RangeCheckError("TArray<T>::SetT(T )  - Not Allocated Array ! "); | 
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| [785] | 402 | T * pe; | 
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| [1156] | 403 | sa_size_t j,k; | 
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| [785] | 404 | if (AvgStep() > 0)   {  // regularly spaced elements | 
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| [1156] | 405 | sa_size_t step = AvgStep(); | 
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|  | 406 | sa_size_t maxx = totsize_*step; | 
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| [785] | 407 | pe = Data(); | 
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|  | 408 | for(k=0; k<maxx; k+=step )  pe[k] = x; | 
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|  | 409 | } | 
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|  | 410 | else {    // Non regular data spacing ... | 
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| [1156] | 411 | int_4 ka = MaxSizeKA(); | 
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|  | 412 | sa_size_t step = Step(ka); | 
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|  | 413 | sa_size_t gpas = Size(ka)*step; | 
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|  | 414 | sa_size_t naxa = Size()/Size(ka); | 
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| [813] | 415 | for(j=0; j<naxa; j++)  { | 
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|  | 416 | pe = mNDBlock.Begin()+Offset(ka,j); | 
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| [785] | 417 | for(k=0; k<gpas; k+=step)  pe[k] = x; | 
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|  | 418 | } | 
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|  | 419 | } | 
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| [772] | 420 | return(*this); | 
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|  | 421 | } | 
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|  | 422 |  | 
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| [894] | 423 | //! Add a constant value \b x to an array | 
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| [772] | 424 | template <class T> | 
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| [804] | 425 | TArray<T>& TArray<T>::Add(T x) | 
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| [772] | 426 | { | 
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| [804] | 427 | if (NbDimensions() < 1) | 
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|  | 428 | throw RangeCheckError("TArray<T>::Add(T )  - Not Allocated Array ! "); | 
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| [785] | 429 | T * pe; | 
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| [1156] | 430 | sa_size_t j,k; | 
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| [785] | 431 | if (AvgStep() > 0)   {  // regularly spaced elements | 
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| [1156] | 432 | sa_size_t step = AvgStep(); | 
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|  | 433 | sa_size_t maxx = totsize_*step; | 
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| [785] | 434 | pe = Data(); | 
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|  | 435 | for(k=0; k<maxx; k+=step )  pe[k] += x; | 
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|  | 436 | } | 
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|  | 437 | else {    // Non regular data spacing ... | 
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| [1156] | 438 | int_4 ka = MaxSizeKA(); | 
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|  | 439 | sa_size_t step = Step(ka); | 
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|  | 440 | sa_size_t gpas = Size(ka)*step; | 
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|  | 441 | sa_size_t naxa = Size()/Size(ka); | 
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| [813] | 442 | for(j=0; j<naxa; j++)  { | 
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|  | 443 | pe = mNDBlock.Begin()+Offset(ka,j); | 
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| [785] | 444 | for(k=0; k<gpas; k+=step)  pe[k] += x; | 
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|  | 445 | } | 
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|  | 446 | } | 
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| [772] | 447 | return(*this); | 
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|  | 448 | } | 
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|  | 449 |  | 
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| [894] | 450 | //! Substract a constant value \b x to an array | 
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| [970] | 451 | /*! | 
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|  | 452 | Substract a constant from the *this = *this-x | 
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|  | 453 | \param fginv == true : Perfoms the inverse subtraction (*this = x-(*this)) | 
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|  | 454 | */ | 
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| [772] | 455 | template <class T> | 
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| [970] | 456 | TArray<T>& TArray<T>::Sub(T x, bool fginv) | 
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| [772] | 457 | { | 
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| [804] | 458 | if (NbDimensions() < 1) | 
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|  | 459 | throw RangeCheckError("TArray<T>::Sub(T )  - Not Allocated Array ! "); | 
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| [785] | 460 | T * pe; | 
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| [1156] | 461 | sa_size_t j,k; | 
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| [785] | 462 | if (AvgStep() > 0)   {  // regularly spaced elements | 
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| [1156] | 463 | sa_size_t step = AvgStep(); | 
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|  | 464 | sa_size_t maxx = totsize_*step; | 
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| [785] | 465 | pe = Data(); | 
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| [970] | 466 | if (fginv) | 
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|  | 467 | for(k=0; k<maxx; k+=step )  pe[k] = x-pe[k]; | 
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|  | 468 | else | 
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|  | 469 | for(k=0; k<maxx; k+=step )  pe[k] -= x; | 
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| [785] | 470 | } | 
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|  | 471 | else {    // Non regular data spacing ... | 
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| [1156] | 472 | int_4 ka = MaxSizeKA(); | 
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|  | 473 | sa_size_t step = Step(ka); | 
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|  | 474 | sa_size_t gpas = Size(ka)*step; | 
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|  | 475 | sa_size_t naxa = Size()/Size(ka); | 
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| [813] | 476 | for(j=0; j<naxa; j++)  { | 
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|  | 477 | pe = mNDBlock.Begin()+Offset(ka,j); | 
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| [970] | 478 | if (fginv) | 
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|  | 479 | for(k=0; k<gpas; k+=step)  pe[k] = x-pe[k]; | 
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|  | 480 | else | 
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|  | 481 | for(k=0; k<gpas; k+=step)  pe[k] -= x; | 
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| [785] | 482 | } | 
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|  | 483 | } | 
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| [772] | 484 | return(*this); | 
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|  | 485 | } | 
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|  | 486 |  | 
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| [894] | 487 | //! Multiply an array by a constant value \b x | 
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| [772] | 488 | template <class T> | 
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| [804] | 489 | TArray<T>& TArray<T>::Mul(T x) | 
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| [772] | 490 | { | 
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| [804] | 491 | if (NbDimensions() < 1) | 
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|  | 492 | throw RangeCheckError("TArray<T>::Mul(T )  - Not Allocated Array ! "); | 
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| [785] | 493 | T * pe; | 
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| [1156] | 494 | sa_size_t j,k; | 
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| [785] | 495 | if (AvgStep() > 0)   {  // regularly spaced elements | 
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| [1156] | 496 | sa_size_t step = AvgStep(); | 
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|  | 497 | sa_size_t maxx = totsize_*step; | 
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| [785] | 498 | pe = Data(); | 
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|  | 499 | for(k=0; k<maxx; k+=step )  pe[k] *= x; | 
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|  | 500 | } | 
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|  | 501 | else {    // Non regular data spacing ... | 
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| [1156] | 502 | int_4 ka = MaxSizeKA(); | 
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|  | 503 | sa_size_t step = Step(ka); | 
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|  | 504 | sa_size_t gpas = Size(ka)*step; | 
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|  | 505 | sa_size_t naxa = Size()/Size(ka); | 
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| [813] | 506 | for(j=0; j<naxa; j++)  { | 
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|  | 507 | pe = mNDBlock.Begin()+Offset(ka,j); | 
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| [785] | 508 | for(k=0; k<gpas; k+=step)  pe[k] *= x; | 
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|  | 509 | } | 
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|  | 510 | } | 
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| [772] | 511 | return(*this); | 
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|  | 512 | } | 
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|  | 513 |  | 
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| [894] | 514 | //! Divide an array by a constant value \b x | 
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| [970] | 515 | /*! | 
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|  | 516 | Divide the array by a constant *this = *this/x | 
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|  | 517 | \param fginv == true : Perfoms the inverse division (*this = x/(*this)) | 
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|  | 518 | */ | 
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| [772] | 519 | template <class T> | 
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| [970] | 520 | TArray<T>& TArray<T>::Div(T x, bool fginv) | 
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| [772] | 521 | { | 
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| [804] | 522 | if (NbDimensions() < 1) | 
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|  | 523 | throw RangeCheckError("TArray<T>::Div(T )  - Not Allocated Array ! "); | 
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| [970] | 524 | if (!fginv && (x == (T) 0) ) | 
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| [894] | 525 | throw MathExc("TArray<T>::Div(T )  - Divide by zero ! "); | 
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| [785] | 526 | T * pe; | 
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| [1156] | 527 | sa_size_t j,k; | 
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| [785] | 528 | if (AvgStep() > 0)   {  // regularly spaced elements | 
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| [1156] | 529 | sa_size_t step = AvgStep(); | 
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|  | 530 | sa_size_t maxx = totsize_*step; | 
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| [785] | 531 | pe = Data(); | 
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| [970] | 532 | if (fginv) | 
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|  | 533 | for(k=0; k<maxx; k+=step )  pe[k] = x/pe[k]; | 
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|  | 534 | else | 
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|  | 535 | for(k=0; k<maxx; k+=step )  pe[k] /= x; | 
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| [785] | 536 | } | 
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|  | 537 | else {    // Non regular data spacing ... | 
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| [1156] | 538 | int_4 ka = MaxSizeKA(); | 
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|  | 539 | sa_size_t step = Step(ka); | 
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|  | 540 | sa_size_t gpas = Size(ka)*step; | 
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|  | 541 | sa_size_t naxa = Size()/Size(ka); | 
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| [813] | 542 | for(j=0; j<naxa; j++)  { | 
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|  | 543 | pe = mNDBlock.Begin()+Offset(ka,j); | 
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| [970] | 544 | if (fginv) | 
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|  | 545 | for(k=0; k<gpas; k+=step)  pe[k] = x/pe[k]; | 
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|  | 546 | else | 
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|  | 547 | for(k=0; k<gpas; k+=step)  pe[k] /= x; | 
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| [785] | 548 | } | 
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|  | 549 | } | 
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| [772] | 550 | return(*this); | 
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|  | 551 | } | 
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|  | 552 |  | 
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|  | 553 |  | 
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| [1156] | 554 | //! Replace array elements values by their opposite ( a(i) -> -a(i) ) | 
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|  | 555 | template <class T> | 
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|  | 556 | TArray<T>& TArray<T>::NegateElt() | 
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|  | 557 | { | 
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|  | 558 | if (NbDimensions() < 1) | 
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|  | 559 | throw RangeCheckError("TArray<T>::NegateElt()  - Not Allocated Array ! "); | 
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|  | 560 | T * pe; | 
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|  | 561 | sa_size_t j,k; | 
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|  | 562 | if (AvgStep() > 0)   {  // regularly spaced elements | 
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|  | 563 | sa_size_t step = AvgStep(); | 
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|  | 564 | sa_size_t maxx = totsize_*step; | 
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|  | 565 | pe = Data(); | 
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|  | 566 | for(k=0; k<maxx; k+=step )  pe[k] = -pe[k]; | 
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|  | 567 | } | 
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|  | 568 | else {    // Non regular data spacing ... | 
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|  | 569 | int_4 ka = MaxSizeKA(); | 
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|  | 570 | sa_size_t step = Step(ka); | 
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|  | 571 | sa_size_t gpas = Size(ka)*step; | 
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|  | 572 | sa_size_t naxa = Size()/Size(ka); | 
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|  | 573 | for(j=0; j<naxa; j++)  { | 
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|  | 574 | pe = mNDBlock.Begin()+Offset(ka,j); | 
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|  | 575 | for(k=0; k<gpas; k+=step)  pe[k] = -pe[k]; | 
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|  | 576 | } | 
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|  | 577 | } | 
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|  | 578 | return(*this); | 
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|  | 579 | } | 
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| [804] | 580 |  | 
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| [772] | 581 | //  >>>> Operations avec 2nd membre de type tableau | 
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| [894] | 582 | //! Add two TArrays | 
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| [772] | 583 | template <class T> | 
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| [804] | 584 | TArray<T>& TArray<T>::AddElt(const TArray<T>& a) | 
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| [772] | 585 | { | 
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| [804] | 586 | if (NbDimensions() < 1) | 
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|  | 587 | throw RangeCheckError("TArray<T>::AddElt(const TArray<T>& )  - Not Allocated Array ! "); | 
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| [1099] | 588 | bool smo; | 
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|  | 589 | if (!CompareSizes(a, smo)) | 
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| [813] | 590 | throw(SzMismatchError("TArray<T>::AddElt(const TArray<T>&) SizeMismatch")) ; | 
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| [785] | 591 |  | 
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|  | 592 | T * pe; | 
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|  | 593 | const T * pea; | 
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| [1156] | 594 | sa_size_t j,k,ka; | 
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| [1099] | 595 | if (smo && (AvgStep() > 0) && (a.AvgStep() > 0))   {  // regularly spaced elements | 
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| [1156] | 596 | sa_size_t step = AvgStep(); | 
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|  | 597 | sa_size_t stepa = a.AvgStep(); | 
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|  | 598 | sa_size_t maxx = totsize_*step; | 
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| [785] | 599 | pe = Data(); | 
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|  | 600 | pea = a.Data(); | 
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|  | 601 | for(k=0, ka=0;  k<maxx;  k+=step, ka+=stepa )  pe[k] += pea[ka] ; | 
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| [772] | 602 | } | 
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| [785] | 603 | else {    // Non regular data spacing ... | 
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| [1156] | 604 | int_4 ax,axa; | 
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|  | 605 | sa_size_t step, stepa; | 
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|  | 606 | sa_size_t gpas, naxa; | 
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| [1099] | 607 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa); | 
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| [813] | 608 | for(j=0; j<naxa; j++)  { | 
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|  | 609 | pe = mNDBlock.Begin()+Offset(ax,j); | 
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| [1099] | 610 | pea = a.DataBlock().Begin()+a.Offset(axa,j); | 
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| [785] | 611 | for(k=0, ka=0;  k<gpas;  k+=step, ka+=stepa)  pe[k] += pea[ka]; | 
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|  | 612 | } | 
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|  | 613 | } | 
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| [772] | 614 | return(*this); | 
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|  | 615 | } | 
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|  | 616 |  | 
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| [894] | 617 | //! Substract two TArrays | 
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| [970] | 618 | /*! | 
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|  | 619 | Substract two TArrays *this = *this-a | 
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|  | 620 | \param fginv == true : Perfoms the inverse subtraction (*this = a-(*this)) | 
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|  | 621 | */ | 
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| [772] | 622 | template <class T> | 
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| [970] | 623 | TArray<T>& TArray<T>::SubElt(const TArray<T>& a, bool fginv) | 
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| [772] | 624 | { | 
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| [804] | 625 | if (NbDimensions() < 1) | 
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|  | 626 | throw RangeCheckError("TArray<T>::SubElt(const TArray<T>& )  - Not Allocated Array ! "); | 
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| [1099] | 627 | bool smo; | 
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|  | 628 | if (!CompareSizes(a, smo)) | 
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| [813] | 629 | throw(SzMismatchError("TArray<T>::SubElt(const TArray<T>&) SizeMismatch")) ; | 
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| [785] | 630 |  | 
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|  | 631 | T * pe; | 
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|  | 632 | const T * pea; | 
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| [1156] | 633 | sa_size_t j,k,ka; | 
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| [1099] | 634 | if (smo && (AvgStep() > 0) && (a.AvgStep() > 0) )   {  // regularly spaced elements | 
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| [1156] | 635 | sa_size_t step = AvgStep(); | 
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|  | 636 | sa_size_t stepa = a.AvgStep(); | 
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|  | 637 | sa_size_t maxx = totsize_*step; | 
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| [785] | 638 | pe = Data(); | 
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|  | 639 | pea = a.Data(); | 
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| [970] | 640 | if (fginv) | 
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|  | 641 | for(k=0, ka=0;  k<maxx;  k+=step, ka+=stepa )  pe[k] = pea[ka]-pe[k] ; | 
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|  | 642 | else | 
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|  | 643 | for(k=0, ka=0;  k<maxx;  k+=step, ka+=stepa )  pe[k] -= pea[ka] ; | 
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| [772] | 644 | } | 
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| [785] | 645 | else {    // Non regular data spacing ... | 
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| [1156] | 646 | int_4 ax,axa; | 
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|  | 647 | sa_size_t step, stepa; | 
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|  | 648 | sa_size_t gpas, naxa; | 
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| [1099] | 649 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa); | 
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| [813] | 650 | for(j=0; j<naxa; j++)  { | 
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|  | 651 | pe = mNDBlock.Begin()+Offset(ax,j); | 
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| [1099] | 652 | pea = a.DataBlock().Begin()+a.Offset(axa,j); | 
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| [970] | 653 | if (fginv) | 
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|  | 654 | for(k=0, ka=0;  k<gpas;  k+=step, ka+=stepa)  pe[k] = pea[ka]-pe[k] ; | 
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|  | 655 | else | 
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|  | 656 | for(k=0, ka=0;  k<gpas;  k+=step, ka+=stepa)  pe[k] -= pea[ka]; | 
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| [785] | 657 | } | 
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|  | 658 | } | 
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| [772] | 659 | return(*this); | 
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|  | 660 | } | 
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|  | 661 |  | 
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| [970] | 662 |  | 
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| [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; | 
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| [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>; | 
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|  | 1030 | template class TArray<int_4>; | 
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|  | 1031 | template class TArray<int_8>; | 
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|  | 1032 | template class TArray<r_4>; | 
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|  | 1033 | template class TArray<r_8>; | 
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|  | 1034 | template class TArray< complex<r_4> >; | 
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|  | 1035 | template class TArray< complex<r_8> >; | 
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|  | 1036 | #endif | 
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|  | 1037 |  | 
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|  | 1038 |  | 
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