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default gradient=false
class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=MemoizeEvaluation(class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[x^2]) gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[x^2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[x^2]
Is history enabled for f? false
input history=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[]
output history=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[]
Is history enabled for f? true
input history=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=1 data=[[0],[1],[2],[3]]
output history=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=1 data=[[0],[1],[4],[9]]
Is history enabled for f? true
input history=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[]
output history=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[]
input history=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=8 dimension=1 data=[[0],[1],[2],[3],[0],[1],[2],[3]]
output history=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=8 dimension=1 data=[[0],[1],[4],[9],[0],[1],[4],[9]]
memoized marginal=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y3,y1] evaluationImplementation=class=MarginalEvaluation evaluation=MemoizeEvaluation(class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0,y1,y2,y3,y4] formulas=[x,x^2,x^3,x^4,x^5]) indices=[3,1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y3,y1] formulas=[x^4,x^2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y3,y1] formulas=[x^4,x^2]
default gradient=true
[ X0 X1 ]
0 : [ 0.608202 -1.26617 ]
1 : [ -0.438266 1.20548 ]
2 : [ -2.18139 0.350042 ]
3 : [ -0.355007 1.43725 ]
4 : [ 0.810668 0.793156 ]
5 : [ -0.470526 0.261018 ]
6 : [ -2.29006 -1.28289 ]
7 : [ -1.31178 -0.0907838 ]
8 : [ 0.995793 -0.139453 ]
9 : [ -0.560206 0.44549 ]
10 : [ 0.608202 -1.26617 ]
11 : [ -0.438266 1.20548 ]
12 : [ -0.355007 1.43725 ]
13 : [ 0.995793 -0.139453 ]
14 : [ -0.560206 0.44549 ]
i_fail=[0,6,7,8,10,13]
X_fail= [ X0 X1 ]
0 : [ 0.608202 -1.26617 ]
1 : [ -2.29006 -1.28289 ]
2 : [ -1.31178 -0.0907838 ]
3 : [ 0.995793 -0.139453 ]
4 : [ 0.608202 -1.26617 ]
5 : [ 0.995793 -0.139453 ]
i_fail=0 error=x1<0 at [0.608202,-1.26617]
i_fail=6 error=x1<0 at [-2.29006,-1.28289]
i_fail=7 error=x1<0 at [-1.31178,-0.0907838]
i_fail=8 error=x1<0 at [0.995793,-0.139453]
i_fail=10 error=x1<0 at [0.608202,-1.26617]
i_fail=13 error=x1<0 at [0.995793,-0.139453]
i_ok=[1,2,3,4,5,9,11,12,14]
X_ok= [ X0 X1 ]
0 : [ -0.438266 1.20548 ]
1 : [ -2.18139 0.350042 ]
2 : [ -0.355007 1.43725 ]
3 : [ 0.810668 0.793156 ]
4 : [ -0.470526 0.261018 ]
5 : [ -0.560206 0.44549 ]
6 : [ -0.438266 1.20548 ]
7 : [ -0.355007 1.43725 ]
8 : [ -0.560206 0.44549 ]
Y_ok= [ y0 y1 y2 ]
0 : [ 0.767213 -0.52832 0.238893 ]
1 : [ -1.83134 -0.763577 -2.59492 ]
2 : [ 1.08224 -0.510234 0.572009 ]
3 : [ 1.60382 0.642986 2.24681 ]
4 : [ -0.209508 -0.122816 -0.332323 ]
5 : [ -0.114716 -0.249566 -0.364282 ]
6 : [ 0.767213 -0.52832 0.238893 ]
7 : [ 1.08224 -0.510234 0.572009 ]
8 : [ -0.114716 -0.249566 -0.364282 ]
f(X_ok)= [ y0 y1 y2 ]
0 : [ 0.767213 -0.52832 0.238893 ]
1 : [ -1.83134 -0.763577 -2.59492 ]
2 : [ 1.08224 -0.510234 0.572009 ]
3 : [ 1.60382 0.642986 2.24681 ]
4 : [ -0.209508 -0.122816 -0.332323 ]
5 : [ -0.114716 -0.249566 -0.364282 ]
6 : [ 0.767213 -0.52832 0.238893 ]
7 : [ 1.08224 -0.510234 0.572009 ]
8 : [ -0.114716 -0.249566 -0.364282 ]
what=operator(Sample) partial fail
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