1 | // $Id: MatrixWeighted.cc 1706 2009-01-08 21:36:27Z peter $ |
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2 | |
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3 | /* |
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4 | Copyright (C) 2003 Daniel Dalevi, Peter Johansson |
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5 | Copyright (C) 2004 Jari Häkkinen, Peter Johansson |
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6 | Copyright (C) 2005, 2006 Jari Häkkinen, Peter Johansson, Markus Ringnér |
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7 | Copyright (C) 2007, 2008 Jari Häkkinen, Peter Johansson |
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8 | Copyright (C) 2009 Peter Johansson |
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9 | |
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10 | This file is part of the yat library, http://dev.thep.lu.se/yat |
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11 | |
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12 | The yat library is free software; you can redistribute it and/or |
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13 | modify it under the terms of the GNU General Public License as |
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14 | published by the Free Software Foundation; either version 3 of the |
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15 | License, or (at your option) any later version. |
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16 | |
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17 | The yat library is distributed in the hope that it will be useful, |
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18 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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19 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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20 | General Public License for more details. |
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21 | |
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22 | You should have received a copy of the GNU General Public License |
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23 | along with yat. If not, see <http://www.gnu.org/licenses/>. |
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24 | */ |
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25 | |
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26 | #include "MatrixWeighted.h" |
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27 | |
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28 | #include "DataIterator.h" |
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29 | #include "Matrix.h" |
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30 | #include "WeightIterator.h" |
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31 | |
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32 | #include <cassert> |
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33 | #include <vector> |
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34 | |
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35 | namespace theplu { |
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36 | namespace yat { |
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37 | namespace utility { |
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38 | |
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39 | |
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40 | MatrixWeighted::MatrixWeighted(void) |
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41 | : columns_(0) |
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42 | { |
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43 | } |
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44 | |
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45 | |
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46 | MatrixWeighted::MatrixWeighted(size_t r, size_t c, double x, double w) |
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47 | : vec_(std::vector<DataWeight>(r*c, DataWeight(x,w))), columns_(c) |
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48 | {} |
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49 | |
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50 | |
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51 | MatrixWeighted::MatrixWeighted(const MatrixWeighted& other) |
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52 | : vec_(other.vec_), columns_(other.columns_) |
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53 | {} |
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54 | |
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55 | |
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56 | MatrixWeighted::MatrixWeighted(const Matrix& data) |
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57 | { |
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58 | copy(data); |
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59 | } |
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60 | |
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61 | |
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62 | MatrixWeighted::MatrixWeighted(std::istream& is, char sep) |
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63 | { |
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64 | Matrix data(is, sep); |
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65 | copy(data); |
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66 | } |
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67 | |
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68 | |
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69 | MatrixWeighted::iterator MatrixWeighted::begin(void) |
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70 | { |
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71 | return iterator(vec_.begin()); |
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72 | } |
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73 | |
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74 | |
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75 | MatrixWeighted::const_iterator MatrixWeighted::begin(void) const |
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76 | { |
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77 | return const_iterator(vec_.begin()); |
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78 | } |
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79 | |
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80 | |
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81 | MatrixWeighted::column_iterator MatrixWeighted::begin_column(size_t i) |
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82 | { |
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83 | return column_iterator(vec_.begin()+i, columns_); |
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84 | } |
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85 | |
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86 | |
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87 | MatrixWeighted::const_column_iterator |
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88 | MatrixWeighted::begin_column(size_t i) const |
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89 | { |
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90 | return const_column_iterator(vec_.begin()+i, columns_); |
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91 | } |
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92 | |
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93 | |
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94 | MatrixWeighted::row_iterator MatrixWeighted::begin_row(size_t i) |
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95 | { |
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96 | return row_iterator(vec_.begin()+columns_*i); |
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97 | } |
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98 | |
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99 | |
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100 | MatrixWeighted::const_row_iterator MatrixWeighted::begin_row(size_t i) const |
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101 | { |
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102 | return const_row_iterator(vec_.begin()+columns_*i); |
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103 | } |
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104 | |
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105 | |
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106 | size_t MatrixWeighted::columns(void) const |
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107 | { |
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108 | return columns_; |
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109 | } |
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110 | |
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111 | |
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112 | void MatrixWeighted::copy(const Matrix& data) |
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113 | { |
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114 | Matrix weight; |
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115 | nan(data, weight); |
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116 | copy(data, weight); |
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117 | } |
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118 | |
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119 | |
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120 | void MatrixWeighted::copy(const Matrix& data, const Matrix& weight) |
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121 | { |
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122 | assert(data.rows()==weight.rows()); |
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123 | assert(data.columns()==weight.columns()); |
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124 | columns_ = data.columns(); |
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125 | resize(data.rows(), data.columns()); |
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126 | assert(rows()==data.rows()); |
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127 | assert(columns()==data.columns()); |
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128 | std::copy(data.begin(), data.end(), data_iterator(vec_.begin())); |
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129 | std::copy(weight.begin(), weight.end(), weight_iterator(vec_.begin())); |
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130 | } |
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131 | |
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132 | |
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133 | MatrixWeighted::iterator MatrixWeighted::end(void) |
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134 | { |
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135 | return iterator(vec_.end()); |
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136 | } |
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137 | |
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138 | |
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139 | MatrixWeighted::const_iterator MatrixWeighted::end(void) const |
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140 | { |
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141 | return const_iterator(vec_.end()); |
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142 | } |
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143 | |
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144 | |
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145 | MatrixWeighted::column_iterator MatrixWeighted::end_column(size_t i) |
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146 | { |
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147 | return column_iterator(vec_.begin()+i+vec_.size(), columns_); |
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148 | } |
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149 | |
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150 | |
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151 | MatrixWeighted::const_column_iterator |
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152 | MatrixWeighted::end_column(size_t i) const |
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153 | { |
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154 | return const_column_iterator(vec_.begin()+i+vec_.size(), columns_); |
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155 | } |
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156 | |
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157 | |
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158 | MatrixWeighted::row_iterator MatrixWeighted::end_row(size_t i) |
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159 | { |
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160 | return row_iterator(vec_.begin()+columns_*(i+1)); |
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161 | } |
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162 | |
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163 | |
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164 | MatrixWeighted::const_row_iterator MatrixWeighted::end_row(size_t i) const |
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165 | { |
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166 | return const_row_iterator(vec_.begin()+columns_*(i+1)); |
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167 | } |
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168 | |
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169 | |
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170 | void MatrixWeighted::swap(MatrixWeighted& other) |
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171 | { |
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172 | std::swap(vec_, other.vec_); |
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173 | std::swap(columns_, other.columns_); |
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174 | } |
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175 | |
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176 | |
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177 | void MatrixWeighted::resize(size_t rows, size_t columns) |
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178 | { |
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179 | columns_ = columns; |
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180 | vec_.resize(rows*columns); |
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181 | assert(this->rows()==rows); |
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182 | assert(this->columns()==columns); |
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183 | } |
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184 | |
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185 | |
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186 | size_t MatrixWeighted::rows(void) const |
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187 | { |
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188 | if (vec_.size()) |
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189 | return vec_.size()/columns_; |
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190 | return 0; |
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191 | } |
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192 | |
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193 | |
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194 | DataWeight& MatrixWeighted::operator()(size_t row, size_t column) |
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195 | { |
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196 | assert(column<columns_); |
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197 | assert(row*column < vec_.size()); |
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198 | return vec_[row*columns_ + column]; |
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199 | } |
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200 | |
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201 | |
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202 | const DataWeight& MatrixWeighted::operator()(size_t row, size_t column) const |
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203 | { |
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204 | assert(column<columns_); |
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205 | assert(row*column < vec_.size()); |
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206 | return vec_[row*columns_ + column]; |
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207 | } |
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208 | |
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209 | |
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210 | void swap(MatrixWeighted& lhs, MatrixWeighted& rhs) |
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211 | { |
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212 | lhs.swap(rhs); |
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213 | } |
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214 | |
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215 | }}} // of namespace utility, yat and thep |
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