質問編集履歴
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iris.txtの中身を掲載しました
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Google Collaboratoryに関する質問です.
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`Google Collaboratoryに関する質問です.
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以下はirisというデータセットを用いて最近傍法(K-nn法)というデータ分類を行うプログラムです.
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AttributeError: '_io.TextIOWrapper' object has no attribute 'data'
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```
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```iris.txt
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112
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113
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5.1 3.5 1.4 0.2 1.0
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114
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115
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4.9 3.0 1.4 0.2 1.0
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116
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4.7 3.2 1.3 0.2 1.0
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4.6 3.1 1.5 0.2 1.0
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5.0 3.6 1.4 0.2 1.0
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5.4 3.9 1.7 0.4 1.0
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125
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4.6 3.4 1.4 0.3 1.0
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5.0 3.4 1.5 0.2 1.0
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128
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129
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4.4 2.9 1.4 0.2 1.0
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130
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4.9 3.1 1.5 0.1 1.0
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5.4 3.7 1.5 0.2 1.0
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135
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4.8 3.4 1.6 0.2 1.0
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4.8 3.0 1.4 0.1 1.0
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139
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4.3 3.0 1.1 0.1 1.0
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140
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5.8 4.0 1.2 0.2 1.0
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142
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5.7 4.4 1.5 0.4 1.0
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5.4 3.9 1.3 0.4 1.0
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5.1 3.5 1.4 0.3 1.0
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5.7 3.8 1.7 0.3 1.0
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151
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5.1 3.8 1.5 0.3 1.0
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5.4 3.4 1.7 0.2 1.0
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154
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155
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5.1 3.7 1.5 0.4 1.0
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4.6 3.6 1.0 0.2 1.0
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5.1 3.3 1.7 0.5 1.0
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4.8 3.4 1.9 0.2 1.0
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5.0 3.0 1.6 0.2 1.0
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5.0 3.4 1.6 0.4 1.0
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5.2 3.5 1.5 0.2 1.0
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169
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5.2 3.4 1.4 0.2 1.0
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4.7 3.2 1.6 0.2 1.0
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4.8 3.1 1.6 0.2 1.0
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5.4 3.4 1.5 0.4 1.0
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5.2 4.1 1.5 0.1 1.0
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5.5 4.2 1.4 0.2 1.0
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4.9 3.1 1.5 0.2 1.0
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5.0 3.2 1.2 0.2 1.0
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5.5 3.5 1.3 0.2 1.0
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4.9 3.6 1.4 0.1 1.0
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4.4 3.0 1.3 0.2 1.0
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5.1 3.4 1.5 0.2 1.0
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5.0 3.5 1.3 0.3 1.0
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4.5 2.3 1.3 0.3 1.0
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4.4 3.2 1.3 0.2 1.0
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5.0 3.5 1.6 0.6 1.0
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5.1 3.8 1.9 0.4 1.0
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4.8 3.0 1.4 0.3 1.0
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5.1 3.8 1.6 0.2 1.0
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4.6 3.2 1.4 0.2 1.0
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5.3 3.7 1.5 0.2 1.0
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5.0 3.3 1.4 0.2 1.0
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7.0 3.2 4.7 1.4 2.0
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6.4 3.2 4.5 1.5 2.0
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6.9 3.1 4.9 1.5 2.0
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5.5 2.3 4.0 1.3 2.0
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6.5 2.8 4.6 1.5 2.0
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5.7 2.8 4.5 1.3 2.0
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6.3 3.3 4.7 1.6 2.0
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4.9 2.4 3.3 1.0 2.0
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6.6 2.9 4.6 1.3 2.0
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5.2 2.7 3.9 1.4 2.0
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5.0 2.0 3.5 1.0 2.0
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5.9 3.0 4.2 1.5 2.0
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6.0 2.2 4.0 1.0 2.0
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6.1 2.9 4.7 1.4 2.0
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5.6 2.9 3.6 1.3 2.0
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6.7 3.1 4.5 1.4 2.0
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4.6 3.0 4.5 1.5 2.0
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5.8 2.7 4.1 1.0 2.0
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6.2 2.2 4.5 1.5 2.0
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5.6 2.5 3.9 1.1 2.0
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5.9 3.2 4.8 1.8 2.0
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6.1 2.8 4.0 1.3 2.0
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6.3 2.5 4.9 1.5 2.0
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6.1 2.8 4.7 1.2 2.0
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6.4 2.9 4.3 1.3 2.0
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6.6 3.0 4.9 1.4 2.0
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6.8 2.8 4.8 1.4 2.0
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6.7 3.0 5.0 1.7 2.0
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6.0 2.9 4.5 1.5 2.0
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5.7 2.6 3.5 1.0 2.0
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5.5 2.4 3.8 1.1 2.0
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5.5 2.4 3.7 1.0 2.0
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5.8 2.7 3.9 1.2 2.0
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6.0 2.7 5.1 1.6 2.0
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5.4 3.0 4.5 1.5 2.0
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6.0 3.4 4.5 1.6 2.0
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6.7 3.1 4.7 1.5 2.0
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6.3 2.3 4.4 1.3 2.0
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5.6 3.0 4.1 1.3 2.0
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5.5 2.5 4.0 1.3 2.0
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5.5 2.6 4.4 1.2 2.0
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6.1 3.0 4.6 1.4 2.0
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5.8 2.6 4.0 1.2 2.0
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5.0 2.3 3.3 1.0 2.0
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5.6 2.7 4.2 1.3 2.0
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5.7 3.0 4.2 1.2 2.0
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5.7 2.9 4.2 1.3 2.0
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6.2 2.9 4.3 1.3 2.0
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5.1 2.5 3.0 1.1 2.0
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5.7 2.8 4.1 1.3 2.0
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6.3 3.3 6.0 2.5 3.0
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5.8 2.7 5.1 1.9 3.0
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7.1 3.0 5.9 2.1 3.0
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6.3 2.9 5.6 1.8 3.0
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6.5 3.0 5.8 2.2 3.0
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7.6 3.0 6.6 2.1 3.0
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4.9 2.5 4.5 1.7 3.0
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7.3 2.9 6.3 1.8 3.0
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6.7 2.5 5.8 1.8 3.0
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7.2 3.6 6.1 2.5 3.0
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6.5 3.2 5.1 2.0 3.0
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6.4 2.7 5.3 1.9 3.0
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6.8 3.0 5.5 2.1 3.0
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5.7 2.5 5.0 2.0 3.0
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5.8 2.8 5.1 2.4 3.0
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6.4 3.2 5.3 2.3 3.0
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6.5 3.0 5.5 1.8 3.0
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7.7 3.8 6.7 2.2 3.0
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7.7 2.6 6.9 2.3 3.0
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6.0 2.2 5.0 1.5 3.0
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6.9 3.2 5.7 2.3 3.0
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5.6 2.8 4.9 2.0 3.0
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7.7 2.8 6.7 2.0 3.0
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6.3 2.7 4.9 1.8 3.0
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6.7 3.3 5.7 2.1 3.0
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7.2 3.2 6.0 1.8 3.0
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6.2 2.8 4.8 1.8 3.0
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6.1 3.0 4.9 1.8 3.0
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6.4 2.8 5.6 2.1 3.0
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7.2 3.0 5.8 1.6 3.0
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7.4 2.8 6.1 1.9 3.0
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7.9 3.8 6.4 2.0 3.0
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6.4 2.8 5.6 2.2 3.0
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6.3 2.8 5.1 1.5 3.0
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6.1 2.6 5.6 1.4 3.0
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7.7 3.0 6.1 2.3 3.0
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6.3 3.4 5.6 2.4 3.0
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6.4 3.1 5.5 1.8 3.0
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6.0 3.0 4.8 1.8 3.0
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6.9 3.1 5.4 2.1 3.0
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6.7 3.1 5.6 2.4 3.0
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6.9 3.1 5.1 2.3 3.0
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5.8 2.7 5.1 1.9 3.0
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6.8 3.2 5.9 2.3 3.0
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401
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6.7 3.3 5.7 2.5 3.0
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402
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403
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6.7 3.0 5.2 2.3 3.0
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405
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6.3 2.5 5.0 1.9 3.0
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406
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407
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6.5 3.0 5.2 2.0 3.0
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408
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409
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6.2 3.4 5.4 2.3 3.0
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410
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411
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5.0 3.0 5.1 1.8 3.0
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412
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413
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414
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415
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```
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