File: t_HistoryStrategy_std.expout

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sample= class=NumericalSample name=Unnamed implementation=class=NumericalSampleImplementation name=Unnamed size=10 dimension=2 data=[[0,0.5],[1,1.5],[2,2.5],[3,3.5],[4,4.5],[5,5.5],[6,6.5],[7,7.5],[8,8.5],[9,9.5]]
Null strategy sample= class=NumericalSample name=Unnamed implementation=class=NumericalSampleImplementation name=Unnamed size=0 dimension=2 data=[]
Full strategy sample= class=NumericalSample name=Unnamed implementation=class=NumericalSampleImplementation name=Unnamed size=10 dimension=2 data=[[0,0.5],[1,1.5],[2,2.5],[3,3.5],[4,4.5],[5,5.5],[6,6.5],[7,7.5],[8,8.5],[9,9.5]]
Last strategy sample (large storage)= class=NumericalSample name=Unnamed implementation=class=NumericalSampleImplementation name=Unnamed size=10 dimension=2 data=[[0,0.5],[1,1.5],[2,2.5],[3,3.5],[4,4.5],[5,5.5],[6,6.5],[7,7.5],[8,8.5],[9,9.5]]
Last strategy sample (small storage)= class=NumericalSample name=Unnamed implementation=class=NumericalSampleImplementation name=Unnamed size=3 dimension=2 data=[[7,7.5],[8,8.5],[9,9.5]]
Compact strategy sample (large storage)= class=NumericalSample name=Unnamed implementation=class=NumericalSampleImplementation name=Unnamed size=10 dimension=2 data=[[0,0.5],[1,1.5],[2,2.5],[3,3.5],[4,4.5],[5,5.5],[6,6.5],[7,7.5],[8,8.5],[9,9.5]]
Compact strategy sample (small storage)= class=NumericalSample name=Unnamed implementation=class=NumericalSampleImplementation name=Unnamed size=5 dimension=2 data=[[1,1.5],[3,3.5],[5,5.5],[7,7.5],[9,9.5]]