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 | /*! \ingroup TArray
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21 | \typedef sa_size_t
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22 | \brief Array index range and size, defined to be a 4-byte or 8-byte integer
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23 | */
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24 |
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25 | // -------------------------------------------------------
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26 | // Methodes de la classe
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27 | // -------------------------------------------------------
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28 |
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29 | ////////////////////////// Les constructeurs / destructeurs
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30 |
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31 | //! Default constructor
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32 | template <class T>
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33 | TArray<T>::TArray()
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34 | : BaseArray() , mNDBlock()
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35 | {
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36 | }
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37 |
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38 | //! Constructor
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39 | /*!
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40 | \param ndim : number of dimensions (less or equal to
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41 | \ref BASEARRAY_MAXNDIMS "BASEARRAY_MAXNDIMS")
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42 | \param siz[ndim] : size along each dimension
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43 | \param step : step (same for all dimensions)
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44 | */
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45 | template <class T>
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46 | TArray<T>::TArray(int_4 ndim, const sa_size_t * siz, sa_size_t step)
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47 | : BaseArray() , mNDBlock(ComputeTotalSize(ndim, siz, step, 1))
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48 | {
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49 | string exmsg = "TArray<T>::TArray(int_4, sa_size_t *, sa_size_t)";
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50 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
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51 | }
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52 |
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53 | //! Constructor
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54 | /*!
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55 | \param nx,ny,nz,nt,nu : sizes along first, second, third, fourth and fifth dimension
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56 | */
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57 | template <class T>
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58 | 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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59 | : BaseArray() , mNDBlock(nx*((ny>0)?ny:1)*((nz>0)?nz:1)*((nt>0)?nt:1)*((nu>0)?nu:1))
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60 | {
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61 | sa_size_t size[BASEARRAY_MAXNDIMS];
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62 | size[0] = nx; size[1] = ny; size[2] = nz;
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63 | size[3] = nt; size[4] = nu;
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64 | int_4 ndim = 1;
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65 | if ((size[1] > 0) && (size[2] > 0) && (size[3] > 0) && (size[4] > 0) ) ndim = 5;
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66 | else if ((size[1] > 0) && (size[2] > 0) && (size[3] > 0) ) ndim = 4;
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67 | else if ((size[1] > 0) && (size[2] > 0)) ndim = 3;
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68 | else if (size[1] > 0) ndim = 2;
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69 | else ndim = 1;
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70 | string exmsg = "TArray<T>::TArray(sa_size_t, sa_size_t, sa_size_t, sa_size_t, sa_size_t)";
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71 | if (!UpdateSizes(ndim, size, 1, 0, exmsg)) throw( ParmError(exmsg) );
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72 | }
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73 |
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74 | //! Constructor
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75 | /*!
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76 | \param ndim : number of dimensions
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77 | \param siz[ndim] : size along each dimension
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78 | \param db : datas are given by this NDataBlock
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79 | \param share : if true, data are shared, if false they are copied
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80 | \param step : step (same for all dimensions) in data block
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81 | \param offset : offset for first element in data block
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82 | */
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83 | template <class T>
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84 | 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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85 | : BaseArray() , mNDBlock(db, share)
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86 | {
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87 | string exmsg = "TArray<T>::TArray(int_4, sa_size_t *, NDataBlock<T> & ... )";
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88 | if (!UpdateSizes(ndim, siz, step, offset, exmsg)) throw( ParmError(exmsg) );
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89 |
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90 | }
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91 |
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92 | //! Constructor
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93 | /*!
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94 | \param ndim : number of dimensions
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95 | \param siz[ndim] : size along each dimension
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96 | \param values : datas are given by this pointer
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97 | \param share : if true, data are shared, if false they are copied
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98 | \param step : step (same for all dimensions) in data block
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99 | \param offset : offset for first element in data block
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100 | \param br : if not NULL, dats are bridge with other datas
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101 | \sa NDataBlock
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102 | */
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103 | template <class T>
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104 | 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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105 | : BaseArray() , mNDBlock(ComputeTotalSize(ndim, siz, step, 1), values, br)
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106 | {
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107 | string exmsg = "TArray<T>::TArray(int_4, sa_size_t *, T* ... )";
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108 | if (!UpdateSizes(ndim, siz, step, offset, exmsg)) throw( ParmError(exmsg) );
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109 | }
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110 |
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111 | //! Constructor by copy
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112 | /*!
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113 | \warning datas are \b SHARED with \b a.
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114 | \sa NDataBlock::NDataBlock(const NDataBlock<T>&)
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115 | */
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116 | template <class T>
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117 | TArray<T>::TArray(const TArray<T>& a)
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118 | : BaseArray() , mNDBlock(a.mNDBlock)
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119 | {
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120 | string exmsg = "TArray<T>::TArray(const TArray<T>&)";
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121 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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122 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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123 | }
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124 |
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125 | //! Constructor by copy
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126 | /*!
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127 | \param share : if true, data are shared, if false they are copied
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128 | */
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129 | template <class T>
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130 | TArray<T>::TArray(const TArray<T>& a, bool share)
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131 | : BaseArray() , mNDBlock(a.mNDBlock, share)
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132 | {
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133 | if (a.NbDimensions() == 0) return;
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134 | string exmsg = "TArray<T>::TArray(const TArray<T>&, bool)";
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135 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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136 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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137 | }
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138 |
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139 | //! Constructor with size and contents copied (after conversion) from a different type TArray
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140 | template <class T>
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141 | TArray<T>::TArray(const BaseArray& a)
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142 | : BaseArray() , mNDBlock()
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143 | {
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144 | if (a.NbDimensions() == 0) return;
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145 | string exmsg = "TArray<T>::TArray(const BaseArray&)";
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146 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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147 | mNDBlock.ReSize(totsize_);
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148 | // if (a.mInfo) mInfo = new DVList(*(a.mInfo)); - pb protected !
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149 | ConvertAndCopyElt(a);
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150 | }
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151 |
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152 | //! Destructor
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153 | template <class T>
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154 | TArray<T>::~TArray()
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155 | {
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156 | }
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157 |
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158 | ////////////////////////// Les methodes de copie/share
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159 |
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160 | //! Set array equal to \b a and return *this
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161 | /*!
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162 | If the array is already allocated, CopyElt() is called
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163 | for checking that the two arrays have the same size and
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164 | for copying the array element values. For non allocated
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165 | arrays, CloneOrShare() is called. The array memory
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166 | organization is also copied from \b a.
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167 | \warning Datas are copied (cloned) from \b a.
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168 | \sa CopyElt
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169 | \sa CloneOrShare
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170 | \sa NDataBlock::operator=(const NDataBlock<T>&)
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171 | */
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172 | template <class T>
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173 | TArray<T>& TArray<T>::Set(const TArray<T>& a)
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174 | {
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175 | if (this == &a) return(*this);
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176 | if (a.NbDimensions() < 1)
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177 | throw RangeCheckError("TArray<T>::Set(a ) - Array a not allocated ! ");
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178 | if (NbDimensions() < 1) CloneOrShare(a);
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179 | else CopyElt(a);
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180 | return(*this);
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181 | }
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182 |
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183 | //! Set array elements equal to the \b a array elements, after conversion
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184 | template <class T>
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185 | TArray<T>& TArray<T>::SetBA(const BaseArray& a)
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186 | {
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187 | if (this == &a) return(*this);
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188 | if (a.NbDimensions() < 1)
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189 | throw RangeCheckError("TArray<T>::SetBA(a ) - Array a not allocated ! ");
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190 | if (NbDimensions() < 1) {
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191 | string exmsg = "TArray<T>::SetBA(const BaseArray& a)";
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192 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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193 | mNDBlock.ReSize(totsize_);
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194 | }
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195 | ConvertAndCopyElt(a);
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196 | return(*this);
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197 | }
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198 |
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199 | //! Clone array \b a
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200 | template <class T>
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201 | void TArray<T>::Clone(const TArray<T>& a)
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202 | {
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203 | string exmsg = "TArray<T>::Clone()";
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204 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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205 | mNDBlock.Clone(a.mNDBlock);
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206 | if (mInfo) {delete mInfo; mInfo = NULL;}
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207 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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208 | }
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209 |
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210 | //! Clone if \b a is not temporary, share if temporary
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211 | /*! \sa NDataBlock::CloneOrShare(const NDataBlock<T>&) */
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212 | template <class T>
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213 | void TArray<T>::CloneOrShare(const TArray<T>& a)
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214 | {
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215 | string exmsg = "TArray<T>::CloneOrShare()";
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216 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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217 | mNDBlock.CloneOrShare(a.mNDBlock);
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218 | if (mInfo) {delete mInfo; mInfo = NULL;}
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219 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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220 | }
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221 |
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222 | //! Share data with a
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223 | template <class T>
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224 | void TArray<T>::Share(const TArray<T>& a)
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225 | {
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226 | string exmsg = "TArray<T>::Share()";
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227 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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228 | mNDBlock.Share(a.mNDBlock);
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229 | if (mInfo) {delete mInfo; mInfo = NULL;}
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230 | if (a.mInfo) mInfo = new DVList(*(a.mInfo));
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231 | }
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232 |
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233 |
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234 | //! Sets or changes the array size
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235 | /*!
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236 | \param ndim : number of dimensions
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237 | \param siz[ndim] : size along each dimension
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238 | \param step : step (same for all dimensions)
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239 | */
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240 | template <class T>
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241 | void TArray<T>::ReSize(int_4 ndim, sa_size_t * siz, sa_size_t step)
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242 | {
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243 | if (arrtype_ != 0) {
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244 | if (ndim != 2)
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245 | throw( ParmError("TArray<T>::ReSize(ndim!=2,...) for Matrix" ) );
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246 | if ((arrtype_ == 2) && (siz[0] > 1) && (siz[1] > 1))
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247 | throw( ParmError("TArray<T>::ReSize(,siz[0]>1 && size[1]>1) for Vector" ) );
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248 | }
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249 | string exmsg = "TArray<T>::ReSize(int_4 ...)";
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250 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
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251 | mNDBlock.ReSize(totsize_);
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252 | }
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253 |
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254 | //! Sets or changes the array size.
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255 | /*!
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256 | The array size and memory layout are copied from the array \b a.
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257 | \param a : Array used as template for setting the size and memory layout.
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258 | */
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259 | template <class T>
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260 | void TArray<T>::ReSize(const BaseArray& a)
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261 | {
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262 | if (arrtype_ != 0) {
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263 | if (a.NbDimensions() != 2)
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264 | throw( ParmError("TArray<T>::ReSize(a.NbDimensions()!=2,...) for Matrix" ) );
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265 | if ((arrtype_ == 2) && (a.Size(0) > 1) && (a.Size(1) > 1))
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266 | throw( ParmError("TArray<T>::ReSize(a.Size(0)>1 && a.Size(1)>1) for Vector" ) );
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267 | }
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268 | string exmsg = "TArray<T>::ReSize(const TArray<T>&)";
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269 | if (!UpdateSizes(a, exmsg)) throw( ParmError(exmsg) );
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270 | mNDBlock.ReSize(totsize_);
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271 | }
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272 |
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273 | //! Re-allocate space for array
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274 | /*!
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275 | \param ndim : number of dimensions
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276 | \param siz[ndim] : size along each dimension
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277 | \param step : step (same for all dimensions)
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278 | \param force : if true re-allocation is forced, if not it occurs
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279 | only if the required space is greater than the old one.
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280 | */
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281 | template <class T>
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282 | void TArray<T>::Realloc(int_4 ndim, sa_size_t * siz, sa_size_t step, bool force)
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283 | {
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284 | if (arrtype_ != 0) {
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285 | if (ndim != 2)
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286 | throw( ParmError("TArray<T>::Realloc(ndim!=2,...) for Matrix" ) );
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287 | if ((arrtype_ == 2) && (siz[0] > 1) && (siz[1] > 1))
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288 | throw( ParmError("TArray<T>::Realloc(,siz[0]>1 && size[1]>1) for Vector" ) );
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289 | }
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290 | string exmsg = "TArray<T>::Realloc()";
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291 | if (!UpdateSizes(ndim, siz, step, 0, exmsg)) throw( ParmError(exmsg) );
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292 | mNDBlock.Realloc(totsize_, force);
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293 | }
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294 |
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295 |
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296 | //! Compact dimensions in one or more is equal to 1.
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297 | template <class T>
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298 | TArray<T>& TArray<T>::CompactAllDimensions()
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299 | {
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300 | CompactAllDim();
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301 | return(*this);
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302 | }
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303 |
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304 | //! Compact dimensions if the last one is equal to 1.
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305 | template <class T>
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306 | TArray<T>& TArray<T>::CompactTrailingDimensions()
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307 | {
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308 | CompactTrailingDim();
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309 | return(*this);
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310 | }
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311 |
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312 | //! Give value (in \b double) for element at position \b ip..
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313 | template <class T>
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314 | MuTyV & TArray<T>::ValueAtPosition(sa_size_t ip) const
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315 | {
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316 | #ifdef SO_BOUNDCHECKING
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317 | if (ip >= totsize_) throw( ParmError("TArray<T>::ValueAtPosition(sa_size_t ip) Out-of-bound Error") );
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318 | #endif
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319 | my_mtv = *(mNDBlock.Begin()+Offset(ip));
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320 | return( my_mtv );
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321 | }
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322 |
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323 | //! Return array with elements packed
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324 | /*!
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325 | \param force : if true, pack elements in a new array.
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326 | If false and array is already packed, return
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327 | an array that share data with the current one.
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328 | \return packed array
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329 | */
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330 | template <class T>
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331 | TArray<T> TArray<T>::PackElements(bool force) const
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332 | {
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333 | if (NbDimensions() < 1)
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334 | throw RangeCheckError("TArray<T>::PackElements() - Not Allocated Array ! ");
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335 | if ( !force && (AvgStep() == 1) ) {
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336 | TArray<T> ra;
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337 | ra.Share(*this);
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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 | else {
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342 | TArray<T> ra(ndim_, size_, 1);
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343 | ra.CopyElt(*this);
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344 | ra.SetTemp(true);
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345 | return(ra);
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346 | }
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347 | }
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348 |
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349 | // SubArrays
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350 | // $CHECK$ Reza 03/2000 Doit-on declarer cette methode const ?
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351 | //! Extract a sub-array
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352 | /*!
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353 | \param rx,ry,rz,rt,ru : range of extraction along dimensions
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354 | \sa Range
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355 | */
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356 | template <class T>
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357 | TArray<T> TArray<T>::SubArray(Range rx, Range ry, Range rz, Range rt, Range ru) const
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358 | {
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359 | if (NbDimensions() < 1)
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360 | throw RangeCheckError("TArray<T>::operator () (Range, ...) - Not Allocated Array ! ");
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361 | int_4 ndim = 0;
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362 | sa_size_t size[BASEARRAY_MAXNDIMS];
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363 | sa_size_t step[BASEARRAY_MAXNDIMS];
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364 | sa_size_t pos[BASEARRAY_MAXNDIMS];
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365 | size[0] = rx.Size();
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366 | size[1] = ry.Size();
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367 | size[2] = rz.Size();
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368 | size[3] = rt.Size();
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369 | size[4] = ru.Size();
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370 |
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371 | step[0] = rx.Step();
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372 | step[1] = ry.Step();
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373 | step[2] = rz.Step();
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374 | step[3] = rt.Step();
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375 | step[4] = ru.Step();
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376 |
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377 | pos[0] = rx.Start();
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378 | pos[1] = ry.Start();
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379 | pos[2] = rz.Start();
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380 | pos[3] = rt.Start();
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381 | pos[4] = ru.Start();
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382 |
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383 | ndim = ndim_;
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384 | TArray<T> ra;
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385 | UpdateSubArraySizes(ra, ndim, size, pos, step);
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386 | ra.DataBlock().Share(this->DataBlock());
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387 | ra.SetTemp(true);
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388 | return(ra);
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389 | }
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390 |
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391 | // ...... Operation de calcul sur les tableaux ......
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392 | // ------- Attention --------
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393 | // Boucles normales prenant en compte les steps ....
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394 | // Possibilite de // , vectorisation
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395 |
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396 | //! Fill TArray with Sequence \b seq
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397 | /*!
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398 | \param seq : sequence to fill the array
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399 | \sa Sequence
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400 | */
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401 | template <class T>
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402 | TArray<T>& TArray<T>::SetSeq(Sequence const & seq)
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403 | {
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404 | if (NbDimensions() < 1)
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405 | throw RangeCheckError("TArray<T>::SetSeq(Sequence ) - Not Allocated Array ! ");
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406 |
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407 | T * pe;
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408 | sa_size_t j,k;
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409 | int_4 ka;
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410 | if (arrtype_ == 0) ka = 0;
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411 | else ka = macoli_;
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412 | sa_size_t step = Step(ka);
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413 | sa_size_t gpas = Size(ka);
|
---|
414 | sa_size_t naxa = Size()/Size(ka);
|
---|
415 | for(j=0; j<naxa; j++) {
|
---|
416 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
417 | #if !defined(__GNUG__)
|
---|
418 | for(k=0; k<gpas; k++) pe[k*step] = (T) seq(j*gpas+k);
|
---|
419 | #else
|
---|
420 | // g++ (up to 2.95.1) se melange les pinceaux s'il y a le cast (T) pour l'instanciation des complexes
|
---|
421 | for(k=0; k<gpas; k++) pe[k*step] = seq(j*gpas+k);
|
---|
422 | #endif
|
---|
423 | }
|
---|
424 | return(*this);
|
---|
425 | }
|
---|
426 |
|
---|
427 | // >>>> Operations avec 2nd membre de type scalaire
|
---|
428 |
|
---|
429 | //! Fill an array with a constant value \b x
|
---|
430 | template <class T>
|
---|
431 | TArray<T>& TArray<T>::SetT(T x)
|
---|
432 | {
|
---|
433 | if (NbDimensions() < 1)
|
---|
434 | throw RangeCheckError("TArray<T>::SetT(T ) - Not Allocated Array ! ");
|
---|
435 | T * pe;
|
---|
436 | sa_size_t j,k;
|
---|
437 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
438 | sa_size_t step = AvgStep();
|
---|
439 | sa_size_t maxx = totsize_*step;
|
---|
440 | pe = Data();
|
---|
441 | for(k=0; k<maxx; k+=step ) pe[k] = x;
|
---|
442 | }
|
---|
443 | else { // Non regular data spacing ...
|
---|
444 | int_4 ka = MaxSizeKA();
|
---|
445 | sa_size_t step = Step(ka);
|
---|
446 | sa_size_t gpas = Size(ka)*step;
|
---|
447 | sa_size_t naxa = Size()/Size(ka);
|
---|
448 | for(j=0; j<naxa; j++) {
|
---|
449 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
450 | for(k=0; k<gpas; k+=step) pe[k] = x;
|
---|
451 | }
|
---|
452 | }
|
---|
453 | return(*this);
|
---|
454 | }
|
---|
455 |
|
---|
456 | //! Add a constant value \b x to an array
|
---|
457 | template <class T>
|
---|
458 | TArray<T>& TArray<T>::Add(T x)
|
---|
459 | {
|
---|
460 | if (NbDimensions() < 1)
|
---|
461 | throw RangeCheckError("TArray<T>::Add(T ) - Not Allocated Array ! ");
|
---|
462 | T * pe;
|
---|
463 | sa_size_t j,k;
|
---|
464 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
465 | sa_size_t step = AvgStep();
|
---|
466 | sa_size_t maxx = totsize_*step;
|
---|
467 | pe = Data();
|
---|
468 | for(k=0; k<maxx; k+=step ) pe[k] += x;
|
---|
469 | }
|
---|
470 | else { // Non regular data spacing ...
|
---|
471 | int_4 ka = MaxSizeKA();
|
---|
472 | sa_size_t step = Step(ka);
|
---|
473 | sa_size_t gpas = Size(ka)*step;
|
---|
474 | sa_size_t naxa = Size()/Size(ka);
|
---|
475 | for(j=0; j<naxa; j++) {
|
---|
476 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
477 | for(k=0; k<gpas; k+=step) pe[k] += x;
|
---|
478 | }
|
---|
479 | }
|
---|
480 | return(*this);
|
---|
481 | }
|
---|
482 |
|
---|
483 | //! Substract a constant value \b x to an array
|
---|
484 | /*!
|
---|
485 | Substract a constant from the *this = *this-x
|
---|
486 | \param fginv == true : Perfoms the inverse subtraction (*this = x-(*this))
|
---|
487 | */
|
---|
488 | template <class T>
|
---|
489 | TArray<T>& TArray<T>::Sub(T x, bool fginv)
|
---|
490 | {
|
---|
491 | if (NbDimensions() < 1)
|
---|
492 | throw RangeCheckError("TArray<T>::Sub(T ) - Not Allocated Array ! ");
|
---|
493 | T * pe;
|
---|
494 | sa_size_t j,k;
|
---|
495 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
496 | sa_size_t step = AvgStep();
|
---|
497 | sa_size_t maxx = totsize_*step;
|
---|
498 | pe = Data();
|
---|
499 | if (fginv)
|
---|
500 | for(k=0; k<maxx; k+=step ) pe[k] = x-pe[k];
|
---|
501 | else
|
---|
502 | for(k=0; k<maxx; k+=step ) pe[k] -= x;
|
---|
503 | }
|
---|
504 | else { // Non regular data spacing ...
|
---|
505 | int_4 ka = MaxSizeKA();
|
---|
506 | sa_size_t step = Step(ka);
|
---|
507 | sa_size_t gpas = Size(ka)*step;
|
---|
508 | sa_size_t naxa = Size()/Size(ka);
|
---|
509 | for(j=0; j<naxa; j++) {
|
---|
510 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
511 | if (fginv)
|
---|
512 | for(k=0; k<gpas; k+=step) pe[k] = x-pe[k];
|
---|
513 | else
|
---|
514 | for(k=0; k<gpas; k+=step) pe[k] -= x;
|
---|
515 | }
|
---|
516 | }
|
---|
517 | return(*this);
|
---|
518 | }
|
---|
519 |
|
---|
520 | //! Multiply an array by a constant value \b x
|
---|
521 | template <class T>
|
---|
522 | TArray<T>& TArray<T>::Mul(T x)
|
---|
523 | {
|
---|
524 | if (NbDimensions() < 1)
|
---|
525 | throw RangeCheckError("TArray<T>::Mul(T ) - Not Allocated Array ! ");
|
---|
526 | T * pe;
|
---|
527 | sa_size_t j,k;
|
---|
528 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
529 | sa_size_t step = AvgStep();
|
---|
530 | sa_size_t maxx = totsize_*step;
|
---|
531 | pe = Data();
|
---|
532 | for(k=0; k<maxx; k+=step ) pe[k] *= x;
|
---|
533 | }
|
---|
534 | else { // Non regular data spacing ...
|
---|
535 | int_4 ka = MaxSizeKA();
|
---|
536 | sa_size_t step = Step(ka);
|
---|
537 | sa_size_t gpas = Size(ka)*step;
|
---|
538 | sa_size_t naxa = Size()/Size(ka);
|
---|
539 | for(j=0; j<naxa; j++) {
|
---|
540 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
541 | for(k=0; k<gpas; k+=step) pe[k] *= x;
|
---|
542 | }
|
---|
543 | }
|
---|
544 | return(*this);
|
---|
545 | }
|
---|
546 |
|
---|
547 | //! Divide an array by a constant value \b x
|
---|
548 | /*!
|
---|
549 | Divide the array by a constant *this = *this/x
|
---|
550 | \param fginv == true : Perfoms the inverse division (*this = x/(*this))
|
---|
551 | */
|
---|
552 | template <class T>
|
---|
553 | TArray<T>& TArray<T>::Div(T x, bool fginv)
|
---|
554 | {
|
---|
555 | if (NbDimensions() < 1)
|
---|
556 | throw RangeCheckError("TArray<T>::Div(T ) - Not Allocated Array ! ");
|
---|
557 | if (!fginv && (x == (T) 0) )
|
---|
558 | throw MathExc("TArray<T>::Div(T ) - Divide by zero ! ");
|
---|
559 | T * pe;
|
---|
560 | sa_size_t j,k;
|
---|
561 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
562 | sa_size_t step = AvgStep();
|
---|
563 | sa_size_t maxx = totsize_*step;
|
---|
564 | pe = Data();
|
---|
565 | if (fginv)
|
---|
566 | for(k=0; k<maxx; k+=step ) pe[k] = x/pe[k];
|
---|
567 | else
|
---|
568 | for(k=0; k<maxx; k+=step ) pe[k] /= x;
|
---|
569 | }
|
---|
570 | else { // Non regular data spacing ...
|
---|
571 | int_4 ka = MaxSizeKA();
|
---|
572 | sa_size_t step = Step(ka);
|
---|
573 | sa_size_t gpas = Size(ka)*step;
|
---|
574 | sa_size_t naxa = Size()/Size(ka);
|
---|
575 | for(j=0; j<naxa; j++) {
|
---|
576 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
577 | if (fginv)
|
---|
578 | for(k=0; k<gpas; k+=step) pe[k] = x/pe[k];
|
---|
579 | else
|
---|
580 | for(k=0; k<gpas; k+=step) pe[k] /= x;
|
---|
581 | }
|
---|
582 | }
|
---|
583 | return(*this);
|
---|
584 | }
|
---|
585 |
|
---|
586 |
|
---|
587 | //! Replace array elements values by their opposite ( a(i) -> -a(i) )
|
---|
588 | template <class T>
|
---|
589 | TArray<T>& TArray<T>::NegateElt()
|
---|
590 | {
|
---|
591 | if (NbDimensions() < 1)
|
---|
592 | throw RangeCheckError("TArray<T>::NegateElt() - Not Allocated Array ! ");
|
---|
593 | T * pe;
|
---|
594 | sa_size_t j,k;
|
---|
595 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
596 | sa_size_t step = AvgStep();
|
---|
597 | sa_size_t maxx = totsize_*step;
|
---|
598 | pe = Data();
|
---|
599 | for(k=0; k<maxx; k+=step ) pe[k] = -pe[k];
|
---|
600 | }
|
---|
601 | else { // Non regular data spacing ...
|
---|
602 | int_4 ka = MaxSizeKA();
|
---|
603 | sa_size_t step = Step(ka);
|
---|
604 | sa_size_t gpas = Size(ka)*step;
|
---|
605 | sa_size_t naxa = Size()/Size(ka);
|
---|
606 | for(j=0; j<naxa; j++) {
|
---|
607 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
608 | for(k=0; k<gpas; k+=step) pe[k] = -pe[k];
|
---|
609 | }
|
---|
610 | }
|
---|
611 | return(*this);
|
---|
612 | }
|
---|
613 |
|
---|
614 | // >>>> Operations avec 2nd membre de type tableau
|
---|
615 | //! Add two TArrays
|
---|
616 | template <class T>
|
---|
617 | TArray<T>& TArray<T>::AddElt(const TArray<T>& a)
|
---|
618 | {
|
---|
619 | if (NbDimensions() < 1)
|
---|
620 | throw RangeCheckError("TArray<T>::AddElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
621 | bool smo;
|
---|
622 | if (!CompareSizes(a, smo))
|
---|
623 | throw(SzMismatchError("TArray<T>::AddElt(const TArray<T>&) SizeMismatch")) ;
|
---|
624 |
|
---|
625 | T * pe;
|
---|
626 | const T * pea;
|
---|
627 | sa_size_t j,k,ka;
|
---|
628 | if (smo && (AvgStep() > 0) && (a.AvgStep() > 0)) { // regularly spaced elements
|
---|
629 | sa_size_t step = AvgStep();
|
---|
630 | sa_size_t stepa = a.AvgStep();
|
---|
631 | sa_size_t maxx = totsize_*step;
|
---|
632 | pe = Data();
|
---|
633 | pea = a.Data();
|
---|
634 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] += pea[ka] ;
|
---|
635 | }
|
---|
636 | else { // Non regular data spacing ...
|
---|
637 | int_4 ax,axa;
|
---|
638 | sa_size_t step, stepa;
|
---|
639 | sa_size_t gpas, naxa;
|
---|
640 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
641 | for(j=0; j<naxa; j++) {
|
---|
642 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
643 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
644 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] += pea[ka];
|
---|
645 | }
|
---|
646 | }
|
---|
647 | return(*this);
|
---|
648 | }
|
---|
649 |
|
---|
650 | //! Substract two TArrays
|
---|
651 | /*!
|
---|
652 | Substract two TArrays *this = *this-a
|
---|
653 | \param fginv == true : Perfoms the inverse subtraction (*this = a-(*this))
|
---|
654 | */
|
---|
655 | template <class T>
|
---|
656 | TArray<T>& TArray<T>::SubElt(const TArray<T>& a, bool fginv)
|
---|
657 | {
|
---|
658 | if (NbDimensions() < 1)
|
---|
659 | throw RangeCheckError("TArray<T>::SubElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
660 | bool smo;
|
---|
661 | if (!CompareSizes(a, smo))
|
---|
662 | throw(SzMismatchError("TArray<T>::SubElt(const TArray<T>&) SizeMismatch")) ;
|
---|
663 |
|
---|
664 | T * pe;
|
---|
665 | const T * pea;
|
---|
666 | sa_size_t j,k,ka;
|
---|
667 | if (smo && (AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
668 | sa_size_t step = AvgStep();
|
---|
669 | sa_size_t stepa = a.AvgStep();
|
---|
670 | sa_size_t maxx = totsize_*step;
|
---|
671 | pe = Data();
|
---|
672 | pea = a.Data();
|
---|
673 | if (fginv)
|
---|
674 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] = pea[ka]-pe[k] ;
|
---|
675 | else
|
---|
676 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] -= pea[ka] ;
|
---|
677 | }
|
---|
678 | else { // Non regular data spacing ...
|
---|
679 | int_4 ax,axa;
|
---|
680 | sa_size_t step, stepa;
|
---|
681 | sa_size_t gpas, naxa;
|
---|
682 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
683 | for(j=0; j<naxa; j++) {
|
---|
684 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
685 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
686 | if (fginv)
|
---|
687 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = pea[ka]-pe[k] ;
|
---|
688 | else
|
---|
689 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] -= pea[ka];
|
---|
690 | }
|
---|
691 | }
|
---|
692 | return(*this);
|
---|
693 | }
|
---|
694 |
|
---|
695 |
|
---|
696 | //! Multiply two TArrays (elements by elements)
|
---|
697 | template <class T>
|
---|
698 | TArray<T>& TArray<T>::MulElt(const TArray<T>& a)
|
---|
699 | {
|
---|
700 | if (NbDimensions() < 1)
|
---|
701 | throw RangeCheckError("TArray<T>::MulElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
702 | bool smo;
|
---|
703 | if (!CompareSizes(a, smo))
|
---|
704 | throw(SzMismatchError("TArray<T>::MulElt(const TArray<T>&) SizeMismatch")) ;
|
---|
705 |
|
---|
706 | T * pe;
|
---|
707 | const T * pea;
|
---|
708 | sa_size_t j,k,ka;
|
---|
709 | if (smo && (AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
710 | sa_size_t step = AvgStep();
|
---|
711 | sa_size_t stepa = a.AvgStep();
|
---|
712 | sa_size_t maxx = totsize_*step;
|
---|
713 | pe = Data();
|
---|
714 | pea = a.Data();
|
---|
715 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] *= pea[ka] ;
|
---|
716 | }
|
---|
717 | else { // Non regular data spacing ...
|
---|
718 | int_4 ax,axa;
|
---|
719 | sa_size_t step, stepa;
|
---|
720 | sa_size_t gpas, naxa;
|
---|
721 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
722 | for(j=0; j<naxa; j++) {
|
---|
723 | pe = mNDBlock.Begin()+Offset(axa,j);
|
---|
724 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
725 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] *= pea[ka];
|
---|
726 | }
|
---|
727 | }
|
---|
728 | return(*this);
|
---|
729 | }
|
---|
730 |
|
---|
731 |
|
---|
732 | //! Divide two TArrays (elements by elements)
|
---|
733 | /*!
|
---|
734 | Divide two TArrays *this = (*this)/a
|
---|
735 | \param fginv == true : Perfoms the inverse division (*this = a/(*this))
|
---|
736 | \param divzero == true : if a(i)==0. result is set to zero: (*this)(i)==0.
|
---|
737 | */
|
---|
738 | template <class T>
|
---|
739 | TArray<T>& TArray<T>::DivElt(const TArray<T>& a, bool fginv, bool divzero)
|
---|
740 | {
|
---|
741 | if (NbDimensions() < 1)
|
---|
742 | throw RangeCheckError("TArray<T>::DivElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
743 | bool smo;
|
---|
744 | if (!CompareSizes(a, smo))
|
---|
745 | throw(SzMismatchError("TArray<T>::DivElt(const TArray<T>&) SizeMismatch")) ;
|
---|
746 |
|
---|
747 | T * pe;
|
---|
748 | const T * pea;
|
---|
749 | sa_size_t j,k,ka;
|
---|
750 | if (smo && (AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
751 | sa_size_t step = AvgStep();
|
---|
752 | sa_size_t stepa = a.AvgStep();
|
---|
753 | sa_size_t maxx = totsize_*step;
|
---|
754 | pe = Data();
|
---|
755 | pea = a.Data();
|
---|
756 | if(divzero) {
|
---|
757 | if (fginv)
|
---|
758 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa )
|
---|
759 | {if(pe[k]==(T)0) pe[k] = (T)0; else pe[k] = pea[ka]/pe[k];}
|
---|
760 | else
|
---|
761 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa )
|
---|
762 | {if(pea[k]==(T)0) pe[k] = (T)0; else pe[k] /= pea[ka] ;}
|
---|
763 | } else {
|
---|
764 | if (fginv)
|
---|
765 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] = pea[ka]/pe[k];
|
---|
766 | else
|
---|
767 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] /= pea[ka] ;
|
---|
768 | }
|
---|
769 | }
|
---|
770 | else { // Non regular data spacing ...
|
---|
771 | int_4 ax,axa;
|
---|
772 | sa_size_t step, stepa;
|
---|
773 | sa_size_t gpas, naxa;
|
---|
774 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
775 | for(j=0; j<naxa; j++) {
|
---|
776 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
777 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
778 | if(divzero) {
|
---|
779 | if (fginv)
|
---|
780 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa)
|
---|
781 | {if(pe[k]==(T)0) pe[k] = (T)0; else pe[k] = pea[ka]/pe[k];}
|
---|
782 | else
|
---|
783 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa)
|
---|
784 | {if(pea[k]==(T)0) pe[k] = (T)0; else pe[k] /= pea[ka];}
|
---|
785 | } else {
|
---|
786 | if (fginv)
|
---|
787 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = pea[ka]/pe[k];
|
---|
788 | else
|
---|
789 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] /= pea[ka];
|
---|
790 | }
|
---|
791 | }
|
---|
792 | }
|
---|
793 | return(*this);
|
---|
794 | }
|
---|
795 |
|
---|
796 | //! Copy elements of \b a
|
---|
797 | template <class T>
|
---|
798 | TArray<T>& TArray<T>::CopyElt(const TArray<T>& a)
|
---|
799 | {
|
---|
800 | if (NbDimensions() < 1)
|
---|
801 | throw RangeCheckError("TArray<T>::CopyElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
802 | bool smo;
|
---|
803 | if (!CompareSizes(a, smo))
|
---|
804 | throw(SzMismatchError("TArray<T>::CopyElt(const TArray<T>&) SizeMismatch")) ;
|
---|
805 |
|
---|
806 | T * pe;
|
---|
807 | const T * pea;
|
---|
808 | sa_size_t j,k,ka;
|
---|
809 | if (smo && (AvgStep() > 0) && (a.AvgStep() > 0) ) { // regularly spaced elements
|
---|
810 | sa_size_t step = AvgStep();
|
---|
811 | sa_size_t stepa = a.AvgStep();
|
---|
812 | sa_size_t maxx = totsize_*step;
|
---|
813 | pe = Data();
|
---|
814 | pea = a.Data();
|
---|
815 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa ) pe[k] = pea[ka] ;
|
---|
816 | }
|
---|
817 | else { // Non regular data spacing ...
|
---|
818 | int_4 ax,axa;
|
---|
819 | sa_size_t step, stepa;
|
---|
820 | sa_size_t gpas, naxa;
|
---|
821 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
822 | for(j=0; j<naxa; j++) {
|
---|
823 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
824 | pea = a.DataBlock().Begin()+a.Offset(axa,j);
|
---|
825 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = pea[ka];
|
---|
826 | }
|
---|
827 | }
|
---|
828 | return(*this);
|
---|
829 | }
|
---|
830 |
|
---|
831 | //! Converts and Copy elements of \b a
|
---|
832 | template <class T>
|
---|
833 | TArray<T>& TArray<T>::ConvertAndCopyElt(const BaseArray& a)
|
---|
834 | {
|
---|
835 | if (NbDimensions() < 1)
|
---|
836 | throw RangeCheckError("TArray<T>::ConvertAndCopyElt(const TArray<T>& ) - Not Allocated Array ! ");
|
---|
837 | bool smo;
|
---|
838 | if (!CompareSizes(a, smo))
|
---|
839 | throw(SzMismatchError("TArray<T>::ConvertAndCopyElt(const TArray<T>&) SizeMismatch")) ;
|
---|
840 |
|
---|
841 | T * pe;
|
---|
842 | sa_size_t j,k,ka;
|
---|
843 | sa_size_t offa;
|
---|
844 | // Non regular data spacing ...
|
---|
845 | int_4 ax,axa;
|
---|
846 | sa_size_t step, stepa;
|
---|
847 | sa_size_t gpas, naxa;
|
---|
848 | GetOpeParams(a, smo, ax, axa, step, stepa, gpas, naxa);
|
---|
849 | for(j=0; j<naxa; j++) {
|
---|
850 | pe = mNDBlock.Begin()+Offset(ax,j);
|
---|
851 | offa = a.Offset(axa,j);
|
---|
852 | #if !defined(__GNUG__)
|
---|
853 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = (T)a.ValueAtPosition(offa+ka);
|
---|
854 | #else
|
---|
855 | // g++ (up to 2.95.1) se melange les pinceaux s'il y a le cast (T) pour l'instanciation des complexes
|
---|
856 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa) pe[k] = a.ValueAtPosition(offa+ka);
|
---|
857 | #endif
|
---|
858 | }
|
---|
859 | return(*this);
|
---|
860 | }
|
---|
861 |
|
---|
862 |
|
---|
863 | // Somme et produit des elements
|
---|
864 | //! Sum all elements
|
---|
865 | template <class T>
|
---|
866 | T TArray<T>::Sum() const
|
---|
867 | {
|
---|
868 | if (NbDimensions() < 1)
|
---|
869 | throw RangeCheckError("TArray<T>::Sum() - Not Allocated Array ! ");
|
---|
870 | T ret=0;
|
---|
871 | const T * pe;
|
---|
872 | sa_size_t j,k;
|
---|
873 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
874 | sa_size_t step = AvgStep();
|
---|
875 | sa_size_t maxx = totsize_*step;
|
---|
876 | pe = Data();
|
---|
877 | for(k=0; k<maxx; k+=step ) ret += pe[k];
|
---|
878 | }
|
---|
879 | else { // Non regular data spacing ...
|
---|
880 | int_4 ka = MaxSizeKA();
|
---|
881 | sa_size_t step = Step(ka);
|
---|
882 | sa_size_t gpas = Size(ka)*step;
|
---|
883 | sa_size_t naxa = Size()/Size(ka);
|
---|
884 | for(j=0; j<naxa; j++) {
|
---|
885 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
886 | for(k=0; k<gpas; k+=step) ret += pe[k] ;
|
---|
887 | }
|
---|
888 | }
|
---|
889 | return ret;
|
---|
890 | }
|
---|
891 |
|
---|
892 | //! Multiply all elements
|
---|
893 | template <class T>
|
---|
894 | T TArray<T>::Product() const
|
---|
895 | {
|
---|
896 | if (NbDimensions() < 1)
|
---|
897 | throw RangeCheckError("TArray<T>::Product() - Not Allocated Array ! ");
|
---|
898 | T ret=(T)1;
|
---|
899 | const T * pe;
|
---|
900 | sa_size_t j,k;
|
---|
901 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
902 | sa_size_t step = AvgStep();
|
---|
903 | sa_size_t maxx = totsize_*step;
|
---|
904 | pe = Data();
|
---|
905 | for(k=0; k<maxx; k+=step ) ret *= pe[k];
|
---|
906 | }
|
---|
907 | else { // Non regular data spacing ...
|
---|
908 | int_4 ka = MaxSizeKA();
|
---|
909 | sa_size_t step = Step(ka);
|
---|
910 | sa_size_t gpas = Size(ka)*step;
|
---|
911 | sa_size_t naxa = Size()/Size(ka);
|
---|
912 | for(j=0; j<naxa; j++) {
|
---|
913 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
914 | for(k=0; k<gpas; k+=step) ret *= pe[k] ;
|
---|
915 | }
|
---|
916 | }
|
---|
917 | return ret;
|
---|
918 | }
|
---|
919 |
|
---|
920 | //! Returns the sum of all elements squared (Sum
|
---|
921 | template <class T>
|
---|
922 | T TArray<T>::SumX2() const
|
---|
923 | {
|
---|
924 | if (NbDimensions() < 1)
|
---|
925 | throw RangeCheckError("TArray<T>::SumX2() - Not Allocated Array ! ");
|
---|
926 | T ret=0;
|
---|
927 | const T * pe;
|
---|
928 | sa_size_t j,k;
|
---|
929 | if (AvgStep() > 0) { // regularly spaced elements
|
---|
930 | sa_size_t step = AvgStep();
|
---|
931 | sa_size_t maxx = totsize_*step;
|
---|
932 | pe = Data();
|
---|
933 | for(k=0; k<maxx; k+=step ) ret += pe[k]*pe[k];
|
---|
934 | }
|
---|
935 | else { // Non regular data spacing ...
|
---|
936 | int_4 ka = MaxSizeKA();
|
---|
937 | sa_size_t step = Step(ka);
|
---|
938 | sa_size_t gpas = Size(ka)*step;
|
---|
939 | sa_size_t naxa = Size()/Size(ka);
|
---|
940 | for(j=0; j<naxa; j++) {
|
---|
941 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
942 | for(k=0; k<gpas; k+=step) ret += pe[k]*pe[k] ;
|
---|
943 | }
|
---|
944 | }
|
---|
945 | return ret;
|
---|
946 | }
|
---|
947 |
|
---|
948 | //! Return the minimum and the maximum values of the array elements
|
---|
949 | /*!
|
---|
950 | This method generates an exception (\c MathExc) if called for complex arrays
|
---|
951 | */
|
---|
952 | template <class T>
|
---|
953 | void TArray<T>::MinMax(T& min, T& max) const
|
---|
954 | {
|
---|
955 | const T * pe;
|
---|
956 | sa_size_t j,k;
|
---|
957 | int_4 ka = MaxSizeKA();
|
---|
958 | sa_size_t step = Step(ka);
|
---|
959 | sa_size_t gpas = Size(ka)*step;
|
---|
960 | sa_size_t naxa = Size()/Size(ka);
|
---|
961 | min = (*this)[0];
|
---|
962 | max = (*this)[0];
|
---|
963 | for(j=0; j<naxa; j++) {
|
---|
964 | pe = mNDBlock.Begin()+Offset(ka,j);
|
---|
965 | for(k=0; k<gpas; k+=step) {
|
---|
966 | if (pe[k]<min) min = pe[k];
|
---|
967 | else if (pe[k]>max) max = pe[k];
|
---|
968 | }
|
---|
969 | }
|
---|
970 | return;
|
---|
971 | }
|
---|
972 |
|
---|
973 | void TArray< complex<r_4> >::MinMax(complex<r_4>& min, complex<r_4>& max) const
|
---|
974 | {
|
---|
975 | throw MathExc("TArray< complex<r_4> >::MinMax(...) - No order in complex");
|
---|
976 | }
|
---|
977 |
|
---|
978 | void TArray< complex<r_8> >::MinMax(complex<r_8>& min, complex<r_8>& max) const
|
---|
979 | {
|
---|
980 | throw MathExc("TArray< complex<r_4> >::MinMax(...) - No order in complex");
|
---|
981 | }
|
---|
982 |
|
---|
983 | // ----------------------------------------------------
|
---|
984 | // Impression, etc ...
|
---|
985 | // ----------------------------------------------------
|
---|
986 |
|
---|
987 | //! Return a string that contain the type \b T of the array
|
---|
988 | template <class T>
|
---|
989 | string TArray<T>::InfoString() const
|
---|
990 | {
|
---|
991 | string rs = "TArray<" ;
|
---|
992 | rs += typeid(T).name();
|
---|
993 | rs += "> ";
|
---|
994 | return(rs);
|
---|
995 | }
|
---|
996 |
|
---|
997 | //! Print array
|
---|
998 | /*!
|
---|
999 | \param os : output stream
|
---|
1000 | \param maxprt : maximum numer of print
|
---|
1001 | \param si : if true, display attached DvList
|
---|
1002 | \param ascd : if true, suppresses the display of line numbers,
|
---|
1003 | suitable for ascii dump format.
|
---|
1004 | \sa SetMaxPrint
|
---|
1005 | \sa WriteASCII
|
---|
1006 | */
|
---|
1007 | template <class T>
|
---|
1008 | void TArray<T>::Print(ostream& os, sa_size_t maxprt, bool si, bool ascd) const
|
---|
1009 | {
|
---|
1010 | if (maxprt < 0) maxprt = max_nprt_;
|
---|
1011 | sa_size_t npr = 0;
|
---|
1012 | Show(os, si);
|
---|
1013 | if (ndim_ < 1) return;
|
---|
1014 | sa_size_t k0,k1,k2,k3,k4;
|
---|
1015 | for(k4=0; k4<size_[4]; k4++) {
|
---|
1016 | if ((size_[4] > 1) && ascd)
|
---|
1017 | cout << "\n ----- Dimension 5 (U) K4= " << k4 << endl;
|
---|
1018 | for(k3=0; k3<size_[3]; k3++) {
|
---|
1019 | if ((size_[3] > 1) && ascd)
|
---|
1020 | cout << "\n ----- Dimension 4 (T) K3= " << k3 << endl;
|
---|
1021 | for(k2=0; k2<size_[2]; k2++) {
|
---|
1022 | if ((size_[2] > 1) & ascd)
|
---|
1023 | cout << "\n ----- Dimension 3 (Z) K2= " << k2 << endl;
|
---|
1024 | for(k1=0; k1<size_[1]; k1++) {
|
---|
1025 | if ( (size_[1] > 1) && (size_[0] > 10) && ascd)
|
---|
1026 | cout << "----- Dimension 2 (Y) K1= " << k1 << endl;
|
---|
1027 | for(k0=0; k0<size_[0]; k0++) {
|
---|
1028 | if(k0 > 0) os << " ";
|
---|
1029 | os << Elem(k0, k1, k2, k3, k4); npr++;
|
---|
1030 | if (npr >= (sa_size_t) maxprt) {
|
---|
1031 | if (npr < totsize_) os << "\n .... " << endl; return;
|
---|
1032 | }
|
---|
1033 | }
|
---|
1034 | os << endl;
|
---|
1035 | }
|
---|
1036 | }
|
---|
1037 | }
|
---|
1038 | }
|
---|
1039 | os << endl;
|
---|
1040 | }
|
---|
1041 |
|
---|
1042 | //! Fill the array, decoding the ASCII input stream
|
---|
1043 | /*!
|
---|
1044 | \param is : input stream (ASCII)
|
---|
1045 | */
|
---|
1046 | template <class T>
|
---|
1047 | void TArray<T>::ReadASCII(istream& is)
|
---|
1048 | {
|
---|
1049 | EnumeratedSequence es;
|
---|
1050 | sa_size_t nr, nc;
|
---|
1051 | es.FillFromFile(is, nr, nc);
|
---|
1052 | }
|
---|
1053 |
|
---|
1054 | //! Writes the array content to the output stream, (in ASCII)
|
---|
1055 | /*!
|
---|
1056 | \param os : output stream (ASCII)
|
---|
1057 | */
|
---|
1058 | template <class T>
|
---|
1059 | void TArray<T>::WriteASCII(ostream& os) const
|
---|
1060 | {
|
---|
1061 | Print(os, Size(), false, true);
|
---|
1062 | }
|
---|
1063 |
|
---|
1064 |
|
---|
1065 |
|
---|
1066 | ///////////////////////////////////////////////////////////////
|
---|
1067 | ///////////////////////////////////////////////////////////////
|
---|
1068 | #ifdef __CXX_PRAGMA_TEMPLATES__
|
---|
1069 | /*
|
---|
1070 | #pragma define_template TArray<uint_1>
|
---|
1071 | #pragma define_template TArray<int_2>
|
---|
1072 | #pragma define_template TArray<uint_4>
|
---|
1073 | */
|
---|
1074 | #pragma define_template TArray<uint_2>
|
---|
1075 | #pragma define_template TArray<uint_8>
|
---|
1076 | #pragma define_template TArray<int_4>
|
---|
1077 | #pragma define_template TArray<int_8>
|
---|
1078 | #pragma define_template TArray<r_4>
|
---|
1079 | #pragma define_template TArray<r_8>
|
---|
1080 | #pragma define_template TArray< complex<r_4> >
|
---|
1081 | #pragma define_template TArray< complex<r_8> >
|
---|
1082 | #endif
|
---|
1083 |
|
---|
1084 | #if defined(ANSI_TEMPLATES) || defined(GNU_TEMPLATES)
|
---|
1085 | /*
|
---|
1086 | template class TArray<uint_1>;
|
---|
1087 | template class TArray<int_2>;
|
---|
1088 | template class TArray<uint_4>;
|
---|
1089 | */
|
---|
1090 | template class TArray<uint_2>;
|
---|
1091 | template class TArray<uint_8>;
|
---|
1092 | template class TArray<int_4>;
|
---|
1093 | template class TArray<int_8>;
|
---|
1094 | template class TArray<r_4>;
|
---|
1095 | template class TArray<r_8>;
|
---|
1096 | template class TArray< complex<r_4> >;
|
---|
1097 | template class TArray< complex<r_8> >;
|
---|
1098 | #endif
|
---|
1099 |
|
---|
1100 |
|
---|