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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7 | #include <math.h>
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8 | #include "pexceptions.h"
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9 | #include "tarray.h"
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10 |
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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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15 |
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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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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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24 | ////////////////////////// Les constructeurs / destructeurs
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25 |
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26 | //! Default constructor
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27 | template <class T>
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28 | TArray<T>::TArray()
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29 | : BaseArray() , mNDBlock()
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30 | {
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31 | }
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32 |
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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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40 | template <class T>
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41 | TArray<T>::TArray(uint_4 ndim, const uint_4 * siz, uint_4 step)
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42 | : BaseArray() , mNDBlock(ComputeTotalSize(ndim, siz, step, 1))
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43 | {
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44 | string exmsg = "TArray<T>::TArray(uint_4, uint_4 *, uint_4)";
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45 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
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46 | }
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47 |
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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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52 | template <class T>
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53 | TArray<T>::TArray(uint_4 nx, uint_4 ny, uint_4 nz, uint_4 nt, uint_4 nu)
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54 | : BaseArray() , mNDBlock(nx*((ny>0)?ny:1)*((nz>0)?nz:1)*((nt>0)?nt:1)*((nu>0)?nu:1))
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55 | {
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56 | uint_4 size[BASEARRAY_MAXNDIMS];
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57 | size[0] = nx; size[1] = ny; size[2] = nz;
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58 | size[3] = nt; size[4] = nu;
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59 | int ndim = 1;
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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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63 | else if (size[1] > 0) ndim = 2;
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64 | else ndim = 1;
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65 | string exmsg = "TArray<T>::TArray(uint_4, uint_4, uint_4)";
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66 | if (!UpdateSizes(ndim, size, 1, 0, exmsg)) throw( ParmError(exmsg) );
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67 | }
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68 |
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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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78 | template <class T>
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79 | TArray<T>::TArray(uint_4 ndim, const uint_4 * siz, NDataBlock<T> & db, bool share, uint_4 step, uint_8 offset)
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80 | : BaseArray() , mNDBlock(db, share)
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81 | {
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82 | string exmsg = "TArray<T>::TArray(uint_4, uint_4 *, NDataBlock<T> & ... )";
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83 | if (!UpdateSizes(ndim, siz, step, offset, exmsg)) throw( ParmError(exmsg) );
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84 |
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85 | }
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86 |
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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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98 | template <class T>
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99 | TArray<T>::TArray(uint_4 ndim, const uint_4 * siz, T* values, uint_4 step, uint_8 offset, Bridge* br)
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100 | : BaseArray() , mNDBlock(ComputeTotalSize(ndim, siz, step, 1), values, br)
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101 | {
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102 | string exmsg = "TArray<T>::TArray(uint_4, uint_4 *, T* ... )";
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103 | if (!UpdateSizes(ndim, siz, step, offset, exmsg)) throw( ParmError(exmsg) );
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104 | }
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105 |
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106 | //! Constructor by copy
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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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111 | template <class T>
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112 | TArray<T>::TArray(const TArray<T>& a)
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113 | : BaseArray() , mNDBlock(a.mNDBlock)
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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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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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124 | template <class T>
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125 | TArray<T>::TArray(const TArray<T>& a, bool share)
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126 | : BaseArray() , mNDBlock(a.mNDBlock, share)
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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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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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145 | //! Destructor
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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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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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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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158 | template <class T>
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159 | TArray<T>& TArray<T>::Set(const TArray<T>& a)
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160 | {
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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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166 | return(*this);
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167 | }
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168 |
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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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185 | //! Clone array \b a
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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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192 | if (mInfo) {delete mInfo; mInfo = NULL;}
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193 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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194 | }
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195 |
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196 | //! Clone if \b a is not temporary, share if temporary
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197 | /*! \sa NDataBlock::CloneOrShare(const NDataBlock<T>&) */
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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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202 | if (!UpdateSizes(a.ndim_, a.size_, a.step_, a.offset_, exmsg)) throw( ParmError(exmsg) );
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203 | mNDBlock.CloneOrShare(a.mNDBlock);
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204 | }
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205 |
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206 | //! Share data with a
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207 | template <class T>
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208 | void TArray<T>::Share(const TArray<T>& a)
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209 | {
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210 | string exmsg = "TArray<T>::Share()";
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211 | if (!UpdateSizes(a.ndim_, a.size_, a.step_, a.offset_, exmsg)) throw( ParmError(exmsg) );
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212 | mNDBlock.Share(a.mNDBlock);
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213 | }
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214 |
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215 |
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216 | //! Resize array
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217 | /*!
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218 | \param ndim : number of dimensions
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219 | \param siz[ndim] : size along each dimension
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220 | \param step : step (same for all dimensions)
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221 | */
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222 | template <class T>
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223 | void TArray<T>::ReSize(uint_4 ndim, uint_4 * siz, uint_4 step)
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224 | {
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225 | string exmsg = "TArray<T>::ReSize()";
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226 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
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227 | mNDBlock.ReSize(totsize_);
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228 | }
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229 |
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230 | //! Re-allocate space for array
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231 | /*!
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232 | \param ndim : number of dimensions
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233 | \param siz[ndim] : size along each dimension
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234 | \param step : step (same for all dimensions)
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235 | \param force : if true re-allocation is forced, if not it occurs
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236 | only if the required space is greater than the old one.
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237 | */
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238 | template <class T>
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239 | void TArray<T>::Realloc(uint_4 ndim, uint_4 * siz, uint_4 step, bool force)
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240 | {
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241 | string exmsg = "TArray<T>::Realloc()";
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242 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
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243 | mNDBlock.ReSize(totsize_);
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244 | }
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245 |
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246 |
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247 | //! Compact dimensions in one or more is equal to 1.
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248 | template <class T>
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249 | TArray<T>& TArray<T>::CompactAllDimensions()
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250 | {
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251 | CompactAllDim();
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252 | return(*this);
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253 | }
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254 |
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255 | //! Compact dimensions if the last one is equal to 1.
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256 | template <class T>
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257 | TArray<T>& TArray<T>::CompactTrailingDimensions()
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258 | {
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259 | CompactTrailingDim();
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260 | return(*this);
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261 | }
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262 |
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263 | //! Give value (in \b double) for element at position \b ip..
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264 | template <class T>
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265 | MuTyV & TArray<T>::ValueAtPosition(uint_8 ip) const
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266 | {
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267 | #ifdef SO_BOUNDCHECKING
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268 | if (ip >= totsize_) throw( ParmError("TArray<T>::ValueAtPosition(uint_8 ip) Out-of-bound Error") );
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269 | #endif
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270 | my_mtv = *(mNDBlock.Begin()+Offset(ip));
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271 | return( my_mtv );
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272 | }
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273 |
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274 | //! Return array with elements packed
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275 | /*!
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276 | \param force : if true, pack elements in a new array.
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277 | If false and array is already packed, return
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278 | an array that share data with the current one.
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279 | \return packed array
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280 | */
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281 | template <class T>
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282 | TArray<T> TArray<T>::PackElements(bool force) const
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283 | {
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284 | if (NbDimensions() < 1)
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285 | throw RangeCheckError("TArray<T>::PackElements() - Not Allocated Array ! ");
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286 | if ( !force && (AvgStep() == 1) ) {
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287 | TArray<T> ra;
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288 | ra.Share(*this);
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289 | ra.SetTemp(true);
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290 | return(ra);
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291 | }
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292 | else {
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293 | TArray<T> ra(ndim_, size_, 1);
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294 | ra.CopyElt(*this);
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295 | ra.SetTemp(true);
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296 | return(ra);
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297 | }
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298 | }
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299 |
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300 | // SubArrays
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301 | // $CHECK$ Reza 03/2000 Doit-on declarer cette methode const ?
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302 | //! Extract a sub-array
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303 | /*!
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304 | \param rx,ry,rz,rt,ru : range of extraction along dimensions
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305 | \sa Range
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306 | */
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307 | template <class T>
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308 | TArray<T> TArray<T>::SubArray(Range rx, Range ry, Range rz, Range rt, Range ru) const
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309 | {
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310 | if (NbDimensions() < 1)
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311 | throw RangeCheckError("TArray<T>::operator () (Range, ...) - Not Allocated Array ! ");
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312 | uint_4 ndim = 0;
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313 | uint_4 size[BASEARRAY_MAXNDIMS];
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314 | uint_4 step[BASEARRAY_MAXNDIMS];
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315 | uint_4 pos[BASEARRAY_MAXNDIMS];
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316 | size[0] = rx.Size();
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317 | size[1] = ry.Size();
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318 | size[2] = rz.Size();
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319 | size[3] = rt.Size();
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320 | size[4] = ru.Size();
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321 |
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322 | step[0] = rx.Step();
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323 | step[1] = ry.Step();
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324 | step[2] = rz.Step();
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325 | step[3] = rt.Step();
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326 | step[4] = ru.Step();
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327 |
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328 | pos[0] = rx.Start();
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329 | pos[1] = ry.Start();
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330 | pos[2] = rz.Start();
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331 | pos[3] = rt.Start();
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332 | pos[4] = ru.Start();
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333 |
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334 | ndim = ndim_;
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335 | TArray<T> ra;
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336 | UpdateSubArraySizes(ra, ndim, size, pos, step);
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337 | ra.DataBlock().Share(this->DataBlock());
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338 | ra.SetTemp(true);
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339 | return(ra);
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340 | }
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341 |
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342 | // ...... Operation de calcul sur les tableaux ......
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343 | // ------- Attention --------
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344 | // Boucles normales prenant en compte les steps ....
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345 | // Possibilite de // , vectorisation
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346 |
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347 | //! Fill TArray with Sequence \b seq
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348 | /*!
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349 | \param seq : sequence to fill the array
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350 | \sa Sequence
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351 | */
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352 | template <class T>
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353 | TArray<T>& TArray<T>::SetSeq(Sequence seq)
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354 | {
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355 | if (NbDimensions() < 1)
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356 | throw RangeCheckError("TArray<T>::SetSeq(Sequence ) - Not Allocated Array ! ");
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357 | T * pe;
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358 | uint_8 j,k;
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359 | if (AvgStep() > 0) { // regularly spaced elements
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360 | uint_8 step = AvgStep();
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361 | pe = Data();
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362 | for(k=0; k<totsize_; k++ ) pe[k*step] = (T) seq(k);
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363 | }
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364 | else { // Non regular data spacing ...
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365 | // uint_4 ka = MaxSizeKA();
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366 | uint_4 ka = 0;
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367 | uint_8 step = Step(ka);
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368 | uint_8 gpas = Size(ka);
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369 | uint_8 naxa = Size()/Size(ka);
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370 | for(j=0; j<naxa; j++) {
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371 | pe = mNDBlock.Begin()+Offset(ka,j);
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372 | for(k=0; k<gpas; k++) pe[k*step] = (T) seq(j*gpas+k);
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373 | }
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374 | }
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375 | return(*this);
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376 | }
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377 |
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378 | // >>>> Operations avec 2nd membre de type scalaire
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379 |
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380 | //! Fill an array with a constant value \b x
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381 | template <class T>
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382 | TArray<T>& TArray<T>::SetT(T x)
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383 | {
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384 | if (NbDimensions() < 1)
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385 | throw RangeCheckError("TArray<T>::SetT(T ) - Not Allocated Array ! ");
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386 | T * pe;
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387 | uint_8 j,k;
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388 | if (AvgStep() > 0) { // regularly spaced elements
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389 | uint_8 step = AvgStep();
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390 | uint_8 maxx = totsize_*step;
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391 | pe = Data();
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392 | for(k=0; k<maxx; k+=step ) pe[k] = x;
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393 | }
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394 | else { // Non regular data spacing ...
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395 | uint_4 ka = MaxSizeKA();
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396 | uint_8 step = Step(ka);
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397 | uint_8 gpas = Size(ka)*step;
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398 | uint_8 naxa = Size()/Size(ka);
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399 | for(j=0; j<naxa; j++) {
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400 | pe = mNDBlock.Begin()+Offset(ka,j);
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401 | for(k=0; k<gpas; k+=step) pe[k] = x;
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402 | }
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403 | }
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404 | return(*this);
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405 | }
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406 |
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407 | //! Add a constant value \b x to an array
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408 | template <class T>
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409 | TArray<T>& TArray<T>::Add(T x)
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410 | {
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411 | if (NbDimensions() < 1)
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412 | throw RangeCheckError("TArray<T>::Add(T ) - Not Allocated Array ! ");
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413 | T * pe;
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414 | uint_8 j,k;
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415 | if (AvgStep() > 0) { // regularly spaced elements
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416 | uint_8 step = AvgStep();
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417 | uint_8 maxx = totsize_*step;
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418 | pe = Data();
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419 | for(k=0; k<maxx; k+=step ) pe[k] += x;
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420 | }
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421 | else { // Non regular data spacing ...
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422 | uint_4 ka = MaxSizeKA();
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423 | uint_8 step = Step(ka);
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424 | uint_8 gpas = Size(ka)*step;
|
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425 | uint_8 naxa = Size()/Size(ka);
|
---|
426 | for(j=0; j<naxa; j++) {
|
---|
427 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
428 | for(k=0; k<gpas; k+=step) pe[k] += x;
|
---|
429 | }
|
---|
430 | }
|
---|
431 | return(*this);
|
---|
432 | }
|
---|
433 |
|
---|
434 | //! Substract a constant value \b x to an array
|
---|
435 | /*!
|
---|
436 | Substract a constant from the *this = *this-x
|
---|
437 | \param fginv == true : Perfoms the inverse subtraction (*this = x-(*this))
|
---|
438 | */
|
---|
439 | template <class T>
|
---|
440 | TArray<T>& TArray<T>::Sub(T x, bool fginv)
|
---|
441 | {
|
---|
442 | if (NbDimensions() < 1)
|
---|
443 | throw RangeCheckError("TArray<T>::Sub(T ) - Not Allocated Array ! ");
|
---|
444 | T * pe;
|
---|
445 | uint_8 j,k;
|
---|
446 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
447 | uint_8 step = AvgStep();
|
---|
448 | uint_8 maxx = totsize_*step;
|
---|
449 | pe = Data();
|
---|
450 | if (fginv)
|
---|
451 | for(k=0; k<maxx; k+=step ) pe[k] = x-pe[k];
|
---|
452 | else
|
---|
453 | for(k=0; k<maxx; k+=step ) pe[k] -= x;
|
---|
454 | }
|
---|
455 | else { // Non regular data spacing ...
|
---|
456 | uint_4 ka = MaxSizeKA();
|
---|
457 | uint_8 step = Step(ka);
|
---|
458 | uint_8 gpas = Size(ka)*step;
|
---|
459 | uint_8 naxa = Size()/Size(ka);
|
---|
460 | for(j=0; j<naxa; j++) {
|
---|
461 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
462 | if (fginv)
|
---|
463 | for(k=0; k<gpas; k+=step) pe[k] = x-pe[k];
|
---|
464 | else
|
---|
465 | for(k=0; k<gpas; k+=step) pe[k] -= x;
|
---|
466 | }
|
---|
467 | }
|
---|
468 | return(*this);
|
---|
469 | }
|
---|
470 |
|
---|
471 | //! Multiply an array by a constant value \b x
|
---|
472 | template <class T>
|
---|
473 | TArray<T>& TArray<T>::Mul(T x)
|
---|
474 | {
|
---|
475 | if (NbDimensions() < 1)
|
---|
476 | throw RangeCheckError("TArray<T>::Mul(T ) - Not Allocated Array ! ");
|
---|
477 | T * pe;
|
---|
478 | uint_8 j,k;
|
---|
479 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
480 | uint_8 step = AvgStep();
|
---|
481 | uint_8 maxx = totsize_*step;
|
---|
482 | pe = Data();
|
---|
483 | for(k=0; k<maxx; k+=step ) pe[k] *= x;
|
---|
484 | }
|
---|
485 | else { // Non regular data spacing ...
|
---|
486 | uint_4 ka = MaxSizeKA();
|
---|
487 | uint_8 step = Step(ka);
|
---|
488 | uint_8 gpas = Size(ka)*step;
|
---|
489 | uint_8 naxa = Size()/Size(ka);
|
---|
490 | for(j=0; j<naxa; j++) {
|
---|
491 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
492 | for(k=0; k<gpas; k+=step) pe[k] *= x;
|
---|
493 | }
|
---|
494 | }
|
---|
495 | return(*this);
|
---|
496 | }
|
---|
497 |
|
---|
498 | //! Divide an array by a constant value \b x
|
---|
499 | /*!
|
---|
500 | Divide the array by a constant *this = *this/x
|
---|
501 | \param fginv == true : Perfoms the inverse division (*this = x/(*this))
|
---|
502 | */
|
---|
503 | template <class T>
|
---|
504 | TArray<T>& TArray<T>::Div(T x, bool fginv)
|
---|
505 | {
|
---|
506 | if (NbDimensions() < 1)
|
---|
507 | throw RangeCheckError("TArray<T>::Div(T ) - Not Allocated Array ! ");
|
---|
508 | if (!fginv && (x == (T) 0) )
|
---|
509 | throw MathExc("TArray<T>::Div(T ) - Divide by zero ! ");
|
---|
510 | T * pe;
|
---|
511 | uint_8 j,k;
|
---|
512 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
513 | uint_8 step = AvgStep();
|
---|
514 | uint_8 maxx = totsize_*step;
|
---|
515 | pe = Data();
|
---|
516 | if (fginv)
|
---|
517 | for(k=0; k<maxx; k+=step ) pe[k] = x/pe[k];
|
---|
518 | else
|
---|
519 | for(k=0; k<maxx; k+=step ) pe[k] /= x;
|
---|
520 | }
|
---|
521 | else { // Non regular data spacing ...
|
---|
522 | uint_4 ka = MaxSizeKA();
|
---|
523 | uint_8 step = Step(ka);
|
---|
524 | uint_8 gpas = Size(ka)*step;
|
---|
525 | uint_8 naxa = Size()/Size(ka);
|
---|
526 | for(j=0; j<naxa; j++) {
|
---|
527 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
528 | if (fginv)
|
---|
529 | for(k=0; k<gpas; k+=step) pe[k] = x/pe[k];
|
---|
530 | else
|
---|
531 | for(k=0; k<gpas; k+=step) pe[k] /= x;
|
---|
532 | }
|
---|
533 | }
|
---|
534 | return(*this);
|
---|
535 | }
|
---|
536 |
|
---|
537 |
|
---|
538 |
|
---|
539 |
|
---|
540 | // >>>> Operations avec 2nd membre de type tableau
|
---|
541 | //! Add two TArrays
|
---|
542 | template <class T>
|
---|
543 | TArray<T>& TArray<T>::AddElt(const TArray<T>& a)
|
---|
544 | {
|
---|
545 | if (NbDimensions() < 1)
|
---|
546 | throw RangeCheckError("TArray<T>::AddElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
547 | if (!CompareSizes(a))
|
---|
548 | throw(SzMismatchError("TArray<T>::AddElt(const TArray<T>&) SizeMismatch")) ;
|
---|
549 |
|
---|
550 | T * pe;
|
---|
551 | const T * pea;
|
---|
552 | uint_8 j,k,ka;
|
---|
553 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
554 | uint_8 step = AvgStep();
|
---|
555 | uint_8 stepa = a.AvgStep();
|
---|
556 | uint_8 maxx = totsize_*step;
|
---|
557 | pe = Data();
|
---|
558 | pea = a.Data();
|
---|
559 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] += pea[ka] ;
|
---|
560 | }
|
---|
561 | else { // Non regular data spacing ...
|
---|
562 | uint_4 ax = MaxSizeKA();
|
---|
563 | uint_8 step = Step(ax);
|
---|
564 | uint_8 stepa = a.Step(ax);
|
---|
565 | uint_8 gpas = Size(ax)*step;
|
---|
566 | uint_8 naxa = Size()/Size(ax);
|
---|
567 | for(j=0; j<naxa; j++) {
|
---|
568 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
569 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
570 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] += pea[ka];
|
---|
571 | }
|
---|
572 | }
|
---|
573 | return(*this);
|
---|
574 | }
|
---|
575 |
|
---|
576 | //! Substract two TArrays
|
---|
577 | /*!
|
---|
578 | Substract two TArrays *this = *this-a
|
---|
579 | \param fginv == true : Perfoms the inverse subtraction (*this = a-(*this))
|
---|
580 | */
|
---|
581 | template <class T>
|
---|
582 | TArray<T>& TArray<T>::SubElt(const TArray<T>& a, bool fginv)
|
---|
583 | {
|
---|
584 | if (NbDimensions() < 1)
|
---|
585 | throw RangeCheckError("TArray<T>::SubElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
586 | if (!CompareSizes(a))
|
---|
587 | throw(SzMismatchError("TArray<T>::SubElt(const TArray<T>&) SizeMismatch")) ;
|
---|
588 |
|
---|
589 | T * pe;
|
---|
590 | const T * pea;
|
---|
591 | uint_8 j,k,ka;
|
---|
592 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
593 | uint_8 step = AvgStep();
|
---|
594 | uint_8 stepa = a.AvgStep();
|
---|
595 | uint_8 maxx = totsize_*step;
|
---|
596 | pe = Data();
|
---|
597 | pea = a.Data();
|
---|
598 | if (fginv)
|
---|
599 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] = pea[ka]-pe[k] ;
|
---|
600 | else
|
---|
601 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] -= pea[ka] ;
|
---|
602 | }
|
---|
603 | else { // Non regular data spacing ...
|
---|
604 | uint_4 ax = MaxSizeKA();
|
---|
605 | uint_8 step = Step(ax);
|
---|
606 | uint_8 stepa = a.Step(ax);
|
---|
607 | uint_8 gpas = Size(ax)*step;
|
---|
608 | uint_8 naxa = Size()/Size(ax);
|
---|
609 | for(j=0; j<naxa; j++) {
|
---|
610 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
611 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
612 | if (fginv)
|
---|
613 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = pea[ka]-pe[k] ;
|
---|
614 | else
|
---|
615 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] -= pea[ka];
|
---|
616 | }
|
---|
617 | }
|
---|
618 | return(*this);
|
---|
619 | }
|
---|
620 |
|
---|
621 |
|
---|
622 | //! Multiply two TArrays (elements by elements)
|
---|
623 | template <class T>
|
---|
624 | TArray<T>& TArray<T>::MulElt(const TArray<T>& a)
|
---|
625 | {
|
---|
626 | if (NbDimensions() < 1)
|
---|
627 | throw RangeCheckError("TArray<T>::MulElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
628 | if (!CompareSizes(a))
|
---|
629 | throw(SzMismatchError("TArray<T>::MulElt(const TArray<T>&) SizeMismatch")) ;
|
---|
630 |
|
---|
631 | T * pe;
|
---|
632 | const T * pea;
|
---|
633 | uint_8 j,k,ka;
|
---|
634 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
635 | uint_8 step = AvgStep();
|
---|
636 | uint_8 stepa = a.AvgStep();
|
---|
637 | uint_8 maxx = totsize_*step;
|
---|
638 | pe = Data();
|
---|
639 | pea = a.Data();
|
---|
640 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] *= pea[ka] ;
|
---|
641 | }
|
---|
642 | else { // Non regular data spacing ...
|
---|
643 | uint_4 ax = MaxSizeKA();
|
---|
644 | uint_8 step = Step(ax);
|
---|
645 | uint_8 stepa = a.Step(ax);
|
---|
646 | uint_8 gpas = Size(ax)*step;
|
---|
647 | uint_8 naxa = Size()/Size(ax);
|
---|
648 | for(j=0; j<naxa; j++) {
|
---|
649 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
650 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
651 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] *= pea[ka];
|
---|
652 | }
|
---|
653 | }
|
---|
654 | return(*this);
|
---|
655 | }
|
---|
656 |
|
---|
657 |
|
---|
658 | //! Divide two TArrays (elements by elements)
|
---|
659 | /*!
|
---|
660 | Divide two TArrays *this = (*this)/a
|
---|
661 | \param fginv == true : Perfoms the inverse division (*this = a/(*this))
|
---|
662 | \param divzero == true : if a(i)==0. result is set to zero: (*this)(i)==0.
|
---|
663 | */
|
---|
664 | template <class T>
|
---|
665 | TArray<T>& TArray<T>::DivElt(const TArray<T>& a, bool fginv, bool divzero)
|
---|
666 | {
|
---|
667 | if (NbDimensions() < 1)
|
---|
668 | throw RangeCheckError("TArray<T>::DivElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
669 | if (!CompareSizes(a))
|
---|
670 | throw(SzMismatchError("TArray<T>::DivElt(const TArray<T>&) SizeMismatch")) ;
|
---|
671 |
|
---|
672 | T * pe;
|
---|
673 | const T * pea;
|
---|
674 | uint_8 j,k,ka;
|
---|
675 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
676 | uint_8 step = AvgStep();
|
---|
677 | uint_8 stepa = a.AvgStep();
|
---|
678 | uint_8 maxx = totsize_*step;
|
---|
679 | pe = Data();
|
---|
680 | pea = a.Data();
|
---|
681 | if(divzero) {
|
---|
682 | if (fginv)
|
---|
683 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa )
|
---|
684 | {if(pe[k]==(T)0) pe[k] = (T)0; else pe[k] = pea[ka]/pe[k];}
|
---|
685 | else
|
---|
686 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa )
|
---|
687 | {if(pea[k]==(T)0) pe[k] = (T)0; else pe[k] /= pea[ka] ;}
|
---|
688 | } else {
|
---|
689 | if (fginv)
|
---|
690 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] = pea[ka]/pe[k];
|
---|
691 | else
|
---|
692 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] /= pea[ka] ;
|
---|
693 | }
|
---|
694 | }
|
---|
695 | else { // Non regular data spacing ...
|
---|
696 | uint_4 ax = MaxSizeKA();
|
---|
697 | uint_8 step = Step(ax);
|
---|
698 | uint_8 stepa = a.Step(ax);
|
---|
699 | uint_8 gpas = Size(ax)*step;
|
---|
700 | uint_8 naxa = Size()/Size(ax);
|
---|
701 | for(j=0; j<naxa; j++) {
|
---|
702 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
703 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
704 | if(divzero) {
|
---|
705 | if (fginv)
|
---|
706 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa)
|
---|
707 | {if(pe[k]==(T)0) pe[k] = (T)0; else pe[k] = pea[ka]/pe[k];}
|
---|
708 | else
|
---|
709 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa)
|
---|
710 | {if(pea[k]==(T)0) pe[k] = (T)0; else pe[k] /= pea[ka];}
|
---|
711 | } else {
|
---|
712 | if (fginv)
|
---|
713 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = pea[ka]/pe[k];
|
---|
714 | else
|
---|
715 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] /= pea[ka];
|
---|
716 | }
|
---|
717 | }
|
---|
718 | }
|
---|
719 | return(*this);
|
---|
720 | }
|
---|
721 |
|
---|
722 | //! Copy elements of \b a
|
---|
723 | template <class T>
|
---|
724 | TArray<T>& TArray<T>::CopyElt(const TArray<T>& a)
|
---|
725 | {
|
---|
726 | if (NbDimensions() < 1)
|
---|
727 | throw RangeCheckError("TArray<T>::CopyElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
728 | if (!CompareSizes(a))
|
---|
729 | throw(SzMismatchError("TArray<T>::CopyElt(const TArray<T>&) SizeMismatch")) ;
|
---|
730 |
|
---|
731 | T * pe;
|
---|
732 | const T * pea;
|
---|
733 | uint_8 j,k,ka;
|
---|
734 | if ((AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
735 | uint_8 step = AvgStep();
|
---|
736 | uint_8 stepa = a.AvgStep();
|
---|
737 | uint_8 maxx = totsize_*step;
|
---|
738 | pe = Data();
|
---|
739 | pea = a.Data();
|
---|
740 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] = pea[ka] ;
|
---|
741 | }
|
---|
742 | else { // Non regular data spacing ...
|
---|
743 | uint_4 ax = MaxSizeKA();
|
---|
744 | uint_8 step = Step(ax);
|
---|
745 | uint_8 stepa = a.Step(ax);
|
---|
746 | uint_8 gpas = Size(ax)*step;
|
---|
747 | uint_8 naxa = Size()/Size(ax);
|
---|
748 | for(j=0; j<naxa; j++) {
|
---|
749 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
750 | pea = a.DataBlock().Begin()+a.Offset(ax,j);
|
---|
751 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = pea[ka];
|
---|
752 | }
|
---|
753 | }
|
---|
754 | return(*this);
|
---|
755 | }
|
---|
756 |
|
---|
757 | //! Converts and Copy elements of \b a
|
---|
758 | template <class T>
|
---|
759 | TArray<T>& TArray<T>::ConvertAndCopyElt(const BaseArray& a)
|
---|
760 | {
|
---|
761 | if (NbDimensions() < 1)
|
---|
762 | throw RangeCheckError("TArray<T>::ConvertAndCopyElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
763 | if (!CompareSizes(a))
|
---|
764 | throw(SzMismatchError("TArray<T>::ConvertAndCopyElt(const TArray<T>&) SizeMismatch")) ;
|
---|
765 |
|
---|
766 | T * pe;
|
---|
767 | uint_8 j,k,ka;
|
---|
768 | uint_8 offa;
|
---|
769 | // Non regular data spacing ...
|
---|
770 | uint_4 ax = MaxSizeKA();
|
---|
771 | uint_8 step = Step(ax);
|
---|
772 | uint_8 stepa = a.Step(ax);
|
---|
773 | uint_8 gpas = Size(ax)*step;
|
---|
774 | uint_8 naxa = Size()/Size(ax);
|
---|
775 | for(j=0; j<naxa; j++) {
|
---|
776 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
777 | offa = a.Offset(ax,j);
|
---|
778 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = a.ValueAtPosition(offa+ka);
|
---|
779 | }
|
---|
780 | return(*this);
|
---|
781 | }
|
---|
782 |
|
---|
783 |
|
---|
784 | // Somme et produit des elements
|
---|
785 | //! Sum all elements
|
---|
786 | template <class T>
|
---|
787 | T TArray<T>::Sum() const
|
---|
788 | {
|
---|
789 | if (NbDimensions() < 1)
|
---|
790 | throw RangeCheckError("TArray<T>::Sum() - Not Allocated Array ! ");
|
---|
791 | T ret=0;
|
---|
792 | const T * pe;
|
---|
793 | uint_8 j,k;
|
---|
794 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
795 | uint_8 step = AvgStep();
|
---|
796 | uint_8 maxx = totsize_*step;
|
---|
797 | pe = Data();
|
---|
798 | for(k=0; k<maxx; k+=step ) ret += pe[k];
|
---|
799 | }
|
---|
800 | else { // Non regular data spacing ...
|
---|
801 | uint_4 ka = MaxSizeKA();
|
---|
802 | uint_8 step = Step(ka);
|
---|
803 | uint_8 gpas = Size(ka)*step;
|
---|
804 | uint_8 naxa = Size()/Size(ka);
|
---|
805 | for(j=0; j<naxa; j++) {
|
---|
806 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
807 | for(k=0; k<gpas; k+=step) ret += pe[k] ;
|
---|
808 | }
|
---|
809 | }
|
---|
810 | return ret;
|
---|
811 | }
|
---|
812 |
|
---|
813 | //! Multiply all elements
|
---|
814 | template <class T>
|
---|
815 | T TArray<T>::Product() const
|
---|
816 | {
|
---|
817 | if (NbDimensions() < 1)
|
---|
818 | throw RangeCheckError("TArray<T>::Product() - Not Allocated Array ! ");
|
---|
819 | T ret=0;
|
---|
820 | const T * pe;
|
---|
821 | uint_8 j,k;
|
---|
822 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
823 | uint_8 step = AvgStep();
|
---|
824 | uint_8 maxx = totsize_*step;
|
---|
825 | pe = Data();
|
---|
826 | for(k=0; k<maxx; k+=step ) ret *= pe[k];
|
---|
827 | }
|
---|
828 | else { // Non regular data spacing ...
|
---|
829 | uint_4 ka = MaxSizeKA();
|
---|
830 | uint_8 step = Step(ka);
|
---|
831 | uint_8 gpas = Size(ka)*step;
|
---|
832 | uint_8 naxa = Size()/Size(ka);
|
---|
833 | for(j=0; j<naxa; j++) {
|
---|
834 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
835 | for(k=0; k<gpas; k+=step) ret *= pe[k] ;
|
---|
836 | }
|
---|
837 | }
|
---|
838 | return ret;
|
---|
839 | }
|
---|
840 |
|
---|
841 |
|
---|
842 |
|
---|
843 | // ----------------------------------------------------
|
---|
844 | // Impression, etc ...
|
---|
845 | // ----------------------------------------------------
|
---|
846 |
|
---|
847 | //! Return a string that contain the type \b T of the array
|
---|
848 | template <class T>
|
---|
849 | string TArray<T>::InfoString() const
|
---|
850 | {
|
---|
851 | string rs = "TArray<" ;
|
---|
852 | rs += typeid(T).name();
|
---|
853 | rs += "> ";
|
---|
854 | return(rs);
|
---|
855 | }
|
---|
856 |
|
---|
857 | //! Print array
|
---|
858 | /*!
|
---|
859 | \param os : output stream
|
---|
860 | \param maxprt : maximum numer of print
|
---|
861 | \param si : if true, display attached DvList
|
---|
862 | \sa SetMaxPrint
|
---|
863 | */
|
---|
864 | template <class T>
|
---|
865 | void TArray<T>::Print(ostream& os, int_4 maxprt, bool si) const
|
---|
866 | {
|
---|
867 | if (maxprt < 0) maxprt = max_nprt_;
|
---|
868 | uint_4 npr = 0;
|
---|
869 | Show(os, si);
|
---|
870 | if (ndim_ < 1) return;
|
---|
871 | uint_4 k0,k1,k2,k3,k4;
|
---|
872 | for(k4=0; k4<size_[4]; k4++) {
|
---|
873 | if (size_[4] > 1) cout << "\n ----- Dimension 5 (U) K4= " << k4 << endl;
|
---|
874 | for(k3=0; k3<size_[3]; k3++) {
|
---|
875 | if (size_[3] > 1) cout << "\n ----- Dimension 4 (T) K3= " << k3 << endl;
|
---|
876 | for(k2=0; k2<size_[2]; k2++) {
|
---|
877 | if (size_[2] > 1) cout << "\n ----- Dimension 3 (Z) K2= " << k2 << endl;
|
---|
878 | for(k1=0; k1<size_[1]; k1++) {
|
---|
879 | if ( (size_[1] > 1) && (size_[0] > 10) ) cout << "----- Dimension 2 (Y) K1= " << k1 << endl;
|
---|
880 | for(k0=0; k0<size_[0]; k0++) {
|
---|
881 | if(k0 > 0) os << ", ";
|
---|
882 | os << Elem(k0, k1, k2, k3, k4); npr++;
|
---|
883 | if (npr >= (uint_4) maxprt) {
|
---|
884 | if (npr < totsize_) os << "\n .... " << endl; return;
|
---|
885 | }
|
---|
886 | }
|
---|
887 | os << endl;
|
---|
888 | }
|
---|
889 | }
|
---|
890 | }
|
---|
891 | }
|
---|
892 | os << endl;
|
---|
893 | }
|
---|
894 |
|
---|
895 |
|
---|
896 |
|
---|
897 | ///////////////////////////////////////////////////////////////
|
---|
898 | ///////////////////////////////////////////////////////////////
|
---|
899 | #ifdef __CXX_PRAGMA_TEMPLATES__
|
---|
900 | /*
|
---|
901 | #pragma define_template TArray<uint_1>
|
---|
902 | #pragma define_template TArray<int_2>
|
---|
903 | #pragma define_template TArray<uint_4>
|
---|
904 | #pragma define_template TArray<uint_8>
|
---|
905 | */
|
---|
906 | #pragma define_template TArray<uint_2>
|
---|
907 | #pragma define_template TArray<int_4>
|
---|
908 | #pragma define_template TArray<int_8>
|
---|
909 | #pragma define_template TArray<r_4>
|
---|
910 | #pragma define_template TArray<r_8>
|
---|
911 | #pragma define_template TArray< complex<r_4> >
|
---|
912 | #pragma define_template TArray< complex<r_8> >
|
---|
913 | #endif
|
---|
914 |
|
---|
915 | #if defined(ANSI_TEMPLATES) || defined(GNU_TEMPLATES)
|
---|
916 | /*
|
---|
917 | template class TArray<uint_1>;
|
---|
918 | template class TArray<int_2>;
|
---|
919 | template class TArray<uint_4>;
|
---|
920 | template class TArray<uint_8>;
|
---|
921 | */
|
---|
922 | template class TArray<uint_2>;
|
---|
923 | template class TArray<int_4>;
|
---|
924 | template class TArray<int_8>;
|
---|
925 | template class TArray<r_4>;
|
---|
926 | template class TArray<r_8>;
|
---|
927 | template class TArray< complex<r_4> >;
|
---|
928 | template class TArray< complex<r_8> >;
|
---|
929 | #endif
|
---|
930 |
|
---|
931 |
|
---|