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experiment = LHSExperiment(distribution=class=Normal name=Normal dimension=4 mean=class=Point name=Unnamed dimension=4 values=[0,0,0,0] sigma=class=Point name=Unnamed dimension=4 values=[1,1,1,1] correlationMatrix=class=CorrelationMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1], size10, always shuffle=false, random shift=true
sample = class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=10 dimension=4 description=[X0,X1,X2,X3] data=[[-0.128245,0.376836,-1.22066,-1.10522],[1.10582,-0.338459,0.24791,-0.346101],[0.54296,-1.42346,0.839551,0.0208249],[-1.16265,0.0759283,-2.01943,1.09374],[0.145939,-1.05065,1.1245,0.752451],[-0.54266,0.796553,-0.152699,-0.0930679],[2.38039,1.23369,-0.479086,1.68956],[-0.466678,-0.566345,1.58492,0.34823],[-3.52623,-0.191816,-0.753697,-0.645958],[0.297406,2.83847,0.380733,-1.46889]]
weights = class=Point name=Unnamed dimension=10 values=[0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1]
sample2 = [ X0 X1 X2 X3 ]
0 : [ -0.010542 0.440747 -0.907702 -1.04424 ]
1 : [ 0.917871 -0.318324 0.234117 -0.348873 ]
2 : [ 0.706998 -1.47467 0.547381 0.0632927 ]
3 : [ -0.963304 0.089972 -1.72779 0.962638 ]
4 : [ 0.201535 -1.00455 0.965576 0.831549 ]
5 : [ -0.668953 0.555671 -0.023116 -0.0627709 ]
6 : [ 1.64612 1.04263 -0.276266 1.91121 ]
7 : [ -0.361935 -0.575544 1.89896 0.292035 ]
8 : [ -1.38907 -0.110551 -0.626966 -0.834518 ]
9 : [ 0.44615 1.95064 0.328131 -1.36724 ]
sample = [ X0 X1 X2 X3 ]
0 : [ -1.0393 0.335691 -1.45686 -0.25094 ]
1 : [ 1.06144 2.41939 0.626709 -0.314665 ]
2 : [ 0.416873 -0.779287 1.53713 -0.813699 ]
3 : [ 0.142019 0.929935 0.431971 -1.50779 ]
4 : [ -1.70296 -1.44323 -0.0367999 0.0604975 ]
5 : [ 0.534882 -1.05605 0.205732 2.50647 ]
6 : [ -0.56838 0.111106 -0.731972 0.598258 ]
7 : [ -0.373196 0.526136 1.2056 0.974748 ]
8 : [ -0.0568821 -0.356297 -1.04449 0.468425 ]
9 : [ 1.78081 -0.0663524 -0.357779 -1.04292 ]
sample2 = [ X0 X1 X2 X3 ]
0 : [ 0.765581 -0.641697 -0.15499 1.02033 ]
1 : [ 0.0316325 -0.216958 -0.928132 -1.17524 ]
2 : [ -1.09931 -1.46787 -1.28836 0.208209 ]
3 : [ -0.446501 1.98151 0.97195 1.93178 ]
4 : [ 1.10742 1.13989 0.178853 -0.225676 ]
5 : [ 1.2938 0.540534 -0.403253 -1.31606 ]
6 : [ -0.63869 -0.441023 0.797084 0.579203 ]
7 : [ 0.494526 0.171276 0.50552 -0.423837 ]
8 : [ -2.05943 -0.845955 1.89207 -0.661324 ]
9 : [ -0.160979 0.496285 -0.561349 0.337265 ]
sample = [ X0 X1 X2 X3 ]
0 : [ -0.38532 -1.64485 0.67449 0.38532 ]
1 : [ 0.67449 -1.03643 0.125661 1.64485 ]
2 : [ 1.64485 -0.67449 1.64485 -0.67449 ]
3 : [ 0.38532 1.64485 -0.125661 -1.64485 ]
4 : [ -1.03643 1.03643 -1.64485 -1.03643 ]
5 : [ 1.03643 0.67449 0.38532 1.03643 ]
6 : [ -0.125661 -0.38532 -1.03643 -0.38532 ]
7 : [ -0.67449 0.125661 1.03643 0.125661 ]
8 : [ 0.125661 -0.125661 -0.38532 0.67449 ]
9 : [ -1.64485 0.38532 -0.67449 -0.125661 ]
sample2 = [ X0 X1 X2 X3 ]
0 : [ -0.38532 -1.64485 0.67449 0.38532 ]
1 : [ 0.67449 -1.03643 0.125661 1.64485 ]
2 : [ 1.64485 -0.67449 1.64485 -0.67449 ]
3 : [ 0.38532 1.64485 -0.125661 -1.64485 ]
4 : [ -1.03643 1.03643 -1.64485 -1.03643 ]
5 : [ 1.03643 0.67449 0.38532 1.03643 ]
6 : [ -0.125661 -0.38532 -1.03643 -0.38532 ]
7 : [ -0.67449 0.125661 1.03643 0.125661 ]
8 : [ 0.125661 -0.125661 -0.38532 0.67449 ]
9 : [ -1.64485 0.38532 -0.67449 -0.125661 ]
sample = [ X0 X1 X2 X3 ]
0 : [ -1.03643 -1.03643 1.03643 0.67449 ]
1 : [ -1.64485 -0.38532 0.125661 1.03643 ]
2 : [ -0.38532 -0.67449 -1.03643 0.38532 ]
3 : [ -0.125661 0.67449 0.67449 0.125661 ]
4 : [ 0.67449 -1.64485 -0.125661 -1.64485 ]
5 : [ 0.125661 1.03643 1.64485 -1.03643 ]
6 : [ -0.67449 0.38532 0.38532 -0.38532 ]
7 : [ 1.64485 -0.125661 -0.38532 -0.125661 ]
8 : [ 0.38532 1.64485 -1.64485 -0.67449 ]
9 : [ 1.03643 0.125661 -0.67449 1.64485 ]
sample2 = [ X0 X1 X2 X3 ]
0 : [ 0.38532 0.38532 -1.03643 -0.38532 ]
1 : [ -0.125661 0.67449 0.125661 -1.64485 ]
2 : [ 0.67449 -0.125661 1.64485 1.03643 ]
3 : [ -1.64485 1.64485 1.03643 1.64485 ]
4 : [ -0.38532 -0.67449 -0.125661 -1.03643 ]
5 : [ 1.03643 -1.03643 -1.64485 0.67449 ]
6 : [ 0.125661 -0.38532 0.38532 -0.67449 ]
7 : [ 1.64485 0.125661 0.67449 -0.125661 ]
8 : [ -1.03643 1.03643 -0.67449 0.38532 ]
9 : [ -0.67449 -1.64485 -0.38532 0.125661 ]
sample = [ X0 ]
0 : [ 0.037815 ]
1 : [ -0.0665638 ]
2 : [ 0.736248 ]
3 : [ -0.398497 ]
4 : [ 0.839959 ]
5 : [ 0.371165 ]
6 : [ -0.70109 ]
7 : [ 0.430737 ]
8 : [ -0.544098 ]
9 : [ -0.999779 ]
sample2 = [ X0 ]
0 : [ 0.0590926 ]
1 : [ -0.110185 ]
2 : [ 0.784497 ]
3 : [ -0.279307 ]
4 : [ 0.99518 ]
5 : [ 0.201021 ]
6 : [ -0.776429 ]
7 : [ 0.529796 ]
8 : [ -0.553419 ]
9 : [ -0.95486 ]
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