1 | #include <iostream> |
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2 | #include <casa/Utilities/GenSort.h> |
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3 | #include <casa/Arrays/Vector.h> |
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4 | #include <casa/Arrays/Matrix.h> |
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5 | #include <casa/Arrays/ArrayMath.h> |
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6 | #include <casa/Arrays/ArrayIO.h> |
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7 | #include <tables/Tables/ScalarColumn.h> |
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8 | #include "STIdxIter.h" |
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9 | |
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10 | namespace asap { |
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11 | |
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12 | IndexIterator::IndexIterator( vector< vector<uInt> > &idxlist ) |
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13 | : idxlist_m( idxlist ), |
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14 | niter_m( 0 ) |
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15 | { |
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16 | nfield_m = idxlist_m.size() ; |
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17 | // cout << "nfield_m=" << nfield_m << endl ; |
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18 | Block<uInt> nidx( nfield_m ) ; |
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19 | prod_m = Block<uInt>( nfield_m, 1 ) ; |
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20 | idx_m = Block<uInt>( nfield_m, 0 ) ; |
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21 | current_m = Vector<uInt>( nfield_m ) ; |
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22 | // cout << "idx_m.size()=" << idx_m.size() << endl ; |
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23 | for ( uInt i = 0 ; i < nfield_m ; i++ ) { |
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24 | // cout << "idx_m[" << i << "]=" << idx_m[i] << endl ; |
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25 | nidx[i] = idxlist_m[i].size() ; |
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26 | current_m[i] = idxlist_m[i][idx_m[i]] ; |
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27 | } |
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28 | for ( uInt i = 1 ; i < nfield_m ; i++ ) { |
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29 | prod_m[i] = nidx[i-1] * prod_m[i-1] ; |
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30 | } |
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31 | maxiter_m =prod_m[nfield_m-1] * nidx[nfield_m-1] ; |
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32 | // cout << "maxiter_m=" << maxiter_m << endl ; |
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33 | } |
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34 | |
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35 | Vector<uInt> IndexIterator::current() |
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36 | { |
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37 | uInt *v = current_m.data() ; |
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38 | uInt *p = idx_m.storage() ; |
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39 | for ( uInt i = 0 ; i < nfield_m ; i++ ) { |
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40 | *v = idxlist_m[i][*p] ; |
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41 | v++ ; |
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42 | p++ ; |
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43 | } |
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44 | return current_m ; |
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45 | } |
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46 | |
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47 | Bool IndexIterator::pastEnd() |
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48 | { |
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49 | return niter_m >= maxiter_m ; |
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50 | } |
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51 | |
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52 | void IndexIterator::next() |
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53 | { |
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54 | niter_m++ ; |
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55 | uInt x = niter_m ; |
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56 | for ( Int i = nfield_m-1 ; i >= 0 ; i-- ) { |
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57 | idx_m[i] = x / prod_m[i] ; |
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58 | //cout << "i=" << i << ": prod=" << prod_m[i] |
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59 | // << ", idx=" << idx_m[i] << endl ; |
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60 | x %= prod_m[i] ; |
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61 | } |
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62 | } |
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63 | |
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64 | ArrayIndexIterator::ArrayIndexIterator( Matrix<uInt> &arr, |
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65 | vector< vector<uInt> > idlist ) |
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66 | : arr_m( arr )//, |
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67 | // pos_m( IPosition(1,0) ) |
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68 | { |
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69 | ncol_m = arr_m.ncolumn() ; |
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70 | nrow_m = arr_m.nrow() ; |
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71 | //storage_m.resize( nrow_m ) ; |
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72 | vector< vector<uInt> > l = idlist ; |
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73 | if ( l.size() != ncol_m ) { |
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74 | l.resize( ncol_m ) ; |
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75 | for ( uInt i = 0 ; i < ncol_m ; i++ ) { |
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76 | Vector<uInt> a( arr_m.column( i ).copy() ) ; |
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77 | uInt n = genSort( a, Sort::Ascending, Sort::QuickSort|Sort::NoDuplicates ) ; |
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78 | a.resize(n,True) ; |
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79 | a.tovector( l[i] ) ; |
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80 | } |
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81 | } |
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82 | iter_m = new IndexIterator( l ) ; |
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83 | } |
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84 | |
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85 | ArrayIndexIterator::~ArrayIndexIterator() |
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86 | { |
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87 | delete iter_m ; |
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88 | } |
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89 | |
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90 | Vector<uInt> ArrayIndexIterator::current() |
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91 | { |
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92 | return iter_m->current() ; |
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93 | } |
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94 | |
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95 | Bool ArrayIndexIterator::pastEnd() |
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96 | { |
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97 | return iter_m->pastEnd() ; |
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98 | } |
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99 | |
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100 | // void ArrayIndexIterator::next() |
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101 | // { |
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102 | // iter_m->next() ; |
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103 | // } |
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104 | |
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105 | ArrayIndexIteratorNormal::ArrayIndexIteratorNormal( Matrix<uInt> &arr, |
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106 | vector< vector<uInt> > idlist ) |
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107 | : ArrayIndexIterator( arr, idlist ), |
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108 | pos_m( IPosition( 1, 0 ) ) |
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109 | { |
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110 | storage_m.resize( nrow_m ) ; |
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111 | } |
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112 | |
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113 | void ArrayIndexIteratorNormal::next() |
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114 | { |
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115 | iter_m->next() ; |
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116 | } |
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117 | |
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118 | Vector<uInt> ArrayIndexIteratorNormal::getRows( StorageInitPolicy policy ) |
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119 | { |
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120 | Vector<uInt> v = current() ; |
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121 | uInt len = 0 ; |
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122 | uInt *p = storage_m.storage() ; |
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123 | for ( uInt i = 0 ; i < nrow_m ; i++ ) { |
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124 | if ( allEQ( v, arr_m.row( i ) ) ) { |
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125 | *p = i ; |
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126 | len++ ; |
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127 | p++ ; |
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128 | } |
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129 | } |
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130 | pos_m[0] = len ; |
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131 | p = storage_m.storage() ; |
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132 | return Vector<uInt>( pos_m, p, policy ) ; |
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133 | } |
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134 | |
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135 | ArrayIndexIteratorAcc::ArrayIndexIteratorAcc( Matrix<uInt> &arr, |
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136 | vector< vector<uInt> > idlist ) |
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137 | : ArrayIndexIterator( arr, idlist ), |
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138 | pos_m( IPosition(1) ) |
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139 | { |
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140 | storage_m.resize( arr_m.nelements()+nrow_m ) ; |
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141 | for ( uInt i = 0 ; i < nrow_m ; i++ ) { |
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142 | storage_m[i+arr_m.nelements()] = i ; |
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143 | } |
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144 | len_m.resize( ncol_m+1 ) ; |
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145 | for ( uInt i = 0 ; i < ncol_m+1 ; i++ ) { |
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146 | len_m[i] = nrow_m ; |
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147 | // cout << "len[" << i << "]=" << len_m[i] << endl ; |
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148 | } |
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149 | prev_m = current() - (uInt)1 ; |
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150 | |
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151 | // test |
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152 | // cout << "row 21, col 2 " << arr_m( 21, 2 ) << endl ; |
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153 | } |
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154 | |
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155 | void ArrayIndexIteratorAcc::next() |
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156 | { |
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157 | prev_m = current() ; |
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158 | iter_m->next() ; |
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159 | } |
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160 | |
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161 | Vector<uInt> ArrayIndexIteratorAcc::getRows( StorageInitPolicy policy ) |
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162 | { |
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163 | Vector<uInt> v = current() ; |
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164 | Int c = isChanged( v ) ; |
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165 | // cout << "c=" << c << endl ; |
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166 | if ( c < 0 ) { |
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167 | pos_m[0] = len_m[0] ; |
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168 | return Vector<uInt>( pos_m, storage_m.storage() ) ; |
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169 | } |
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170 | uInt *base = storage_m.storage() + (c+1) * nrow_m ; |
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171 | // cout << "len_m[c+1]=" << len_m[c+1] << endl ; |
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172 | // cout << "base=" << Vector<uInt>(IPosition(1,len_m[c+1]),base,SHARE) << endl ; |
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173 | for ( Int i = c ; i >= 0 ; i-- ) { |
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174 | base = updateStorage( i, base, v[i] ) ; |
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175 | // cout << "len_m[" << i << "]=" << len_m[i] << endl ; |
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176 | // cout << "base=" << Vector<uInt>(IPosition(1,len_m[i]),base,SHARE) << endl ; |
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177 | } |
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178 | pos_m[0] = len_m[0] ; |
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179 | return Vector<uInt>( pos_m, storage_m.storage(), policy ) ; |
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180 | } |
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181 | |
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182 | Int ArrayIndexIteratorAcc::isChanged( Vector<uInt> &idx ) |
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183 | { |
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184 | Int i = ncol_m - 1 ; |
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185 | while( i >= 0 && idx[i] == prev_m[i] ) |
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186 | i-- ; |
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187 | return i ; |
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188 | } |
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189 | |
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190 | uInt *ArrayIndexIteratorAcc::updateStorage( Int &icol, |
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191 | uInt *base, |
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192 | uInt &v ) |
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193 | { |
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194 | uInt len = 0 ; |
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195 | uInt *p = base - nrow_m ; |
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196 | uInt *work = p ; |
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197 | for ( uInt i = 0 ; i < len_m[icol+1] ; i++ ) { |
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198 | if ( arr_m( *base, icol ) == v ) { |
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199 | // cout << "add " << *base << endl ; |
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200 | *work = *base ; |
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201 | len++ ; |
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202 | work++ ; |
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203 | } |
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204 | base++ ; |
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205 | } |
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206 | len_m[icol] = len ; |
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207 | return p ; |
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208 | } |
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209 | |
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210 | STIdxIter::STIdxIter() |
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211 | { |
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212 | iter_m = 0 ; |
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213 | } |
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214 | |
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215 | STIdxIter::STIdxIter( const string &name, |
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216 | const vector<string> &cols ) |
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217 | { |
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218 | } |
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219 | |
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220 | STIdxIter::STIdxIter( const CountedPtr<Scantable> &s, |
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221 | const vector<string> &cols ) |
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222 | { |
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223 | } |
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224 | |
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225 | STIdxIter::~STIdxIter() |
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226 | { |
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227 | if ( iter_m != 0 ) |
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228 | delete iter_m ; |
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229 | } |
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230 | |
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231 | vector<uInt> STIdxIter::tovector( Vector<uInt> v ) |
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232 | { |
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233 | vector<uInt> ret ; |
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234 | v.tovector( ret ) ; |
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235 | return ret ; |
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236 | } |
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237 | |
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238 | STIdxIterNormal::STIdxIterNormal() |
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239 | : STIdxIter() |
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240 | { |
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241 | } |
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242 | |
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243 | STIdxIterNormal::STIdxIterNormal( const string &name, |
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244 | const vector<string> &cols ) |
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245 | : STIdxIter( name, cols ) |
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246 | { |
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247 | Table t( name, Table::Old ) ; |
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248 | init( t, cols ) ; |
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249 | } |
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250 | |
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251 | STIdxIterNormal::STIdxIterNormal( const CountedPtr<Scantable> &s, |
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252 | const vector<string> &cols ) |
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253 | : STIdxIter( s, cols ) |
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254 | { |
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255 | init( s->table(), cols ) ; |
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256 | } |
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257 | |
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258 | STIdxIterNormal::~STIdxIterNormal() |
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259 | { |
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260 | } |
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261 | |
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262 | void STIdxIterNormal::init( Table &t, |
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263 | const vector<string> &cols ) |
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264 | { |
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265 | uInt ncol = cols.size() ; |
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266 | uInt nrow = t.nrow() ; |
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267 | Matrix<uInt> arr( nrow, ncol ) ; |
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268 | ROScalarColumn<uInt> col ; |
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269 | for ( uInt i = 0 ; i < ncol ; i++ ) { |
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270 | col.attach( t, cols[i] ) ; |
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271 | Vector<uInt> v( arr.column( i ) ) ; |
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272 | col.getColumn( v ) ; |
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273 | } |
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274 | iter_m = new ArrayIndexIteratorNormal( arr ) ; |
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275 | } |
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276 | |
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277 | STIdxIterAcc::STIdxIterAcc() |
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278 | : STIdxIter() |
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279 | { |
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280 | } |
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281 | |
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282 | STIdxIterAcc::STIdxIterAcc( const string &name, |
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283 | const vector<string> &cols ) |
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284 | : STIdxIter( name, cols ) |
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285 | { |
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286 | Table t( name, Table::Old ) ; |
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287 | init( t, cols ) ; |
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288 | } |
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289 | |
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290 | STIdxIterAcc::STIdxIterAcc( const CountedPtr<Scantable> &s, |
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291 | const vector<string> &cols ) |
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292 | : STIdxIter( s, cols ) |
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293 | { |
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294 | init( s->table(), cols ) ; |
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295 | } |
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296 | |
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297 | STIdxIterAcc::~STIdxIterAcc() |
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298 | { |
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299 | } |
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300 | |
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301 | void STIdxIterAcc::init( Table &t, |
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302 | const vector<string> &cols ) |
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303 | { |
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304 | uInt ncol = cols.size() ; |
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305 | uInt nrow = t.nrow() ; |
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306 | Matrix<uInt> arr( nrow, ncol ) ; |
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307 | ROScalarColumn<uInt> col ; |
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308 | for ( uInt i = 0 ; i < ncol ; i++ ) { |
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309 | col.attach( t, cols[i] ) ; |
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310 | Vector<uInt> v( arr.column( i ) ) ; |
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311 | col.getColumn( v ) ; |
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312 | } |
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313 | iter_m = new ArrayIndexIteratorAcc( arr ) ; |
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314 | } |
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315 | |
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316 | } // namespace |
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