Experiment overview:

Experiment parameters:

Number of evaluations

Result names and types

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trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,batch_size,divergence,detect_batch,statistic,significance,subsets,feature_id
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,563,2895,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.488147526979446411132812500000,50,13
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,3231,1410,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.660433536550030120260146304645,53,13
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,4187,3864,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.938091110574081565864901222085,13,13
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,2187,504,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.147965505093336113784374674651,90,13
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,1574,4571,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.288414008015766720749439855354,21,13
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,7.000000000000000000000000000000,4556,1056,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.610787931777536874378142783826,81,13
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,3009,3670,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.769667784038931102053027188958,34,13
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,698,2030,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.067255269346758725368395914757,69,13
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,1199,4335,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.192932177908718582859393109175,16,13
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,2596,38,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.893395713651552791922938467906,87,13
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,4841,2736,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.740458679465576974365603746264,28,13
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,1532,1564,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.408338422153145086390679807664,74,13
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,2208,3199,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.018416823377832770847195575925,43,13
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,3920,2496,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.818288282807916433903017150442,59,13
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,3664,4730,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.534634562015533498779973342607,6,13
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,9.000000000000000000000000000000,44,902,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.364298005418851988945760922434,97,13
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,199,4997,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.859001829707995101514939051413,57,13
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,3508,700,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.039072742111980918178204547075,46,13
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,3763,3403,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.314875262830406454916953862266,94,13
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,2366,2231,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.520737683324143274532502800866,9,13
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,7.000000000000000000000000000000,1376,2539,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.910716633494943361704088147235,77,13
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,4996,1836,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.236980708828195940629512961095,25,13
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,2754,4065,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.397898353653028613585718176182,65,13
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,1042,237,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.687579111814498933341610609205,38,13
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,853,3557,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.569573221942409890772296421346,85,13
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,2853,2072,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.266248168613761659884175969637,18,13
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,4399,4531,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.115232692450284959773121329363,72,13
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,1731,1171,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.783120724784210353597302400885,30,13
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,2031,3911,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.642607761956751399878839947633,62,13
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,4342,396,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.442592761630192399469052588756,41,13
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,2069,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38,13
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2192,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,4655,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4094,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57,13
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3774,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,13
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1789,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3825,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,13
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3576,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3750,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,13
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,371,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3118,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,71,13
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
46,46_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,2719,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61,13
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,75,13
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3509,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,13
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35,13
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,2690,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3647,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,51,13
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3369,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32,13
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,4377,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68,13
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,38,13
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,2851,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,584,1260,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1727,1271,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,308,1249,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,4266,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,2952,1281,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1,3811,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,2078,1277,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,5000,4255,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,133,1251,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,5000,1320,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,1244,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2356,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1225,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4268,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,2354,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,4835,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,1355,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1286,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2921,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3807,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,4837,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,4840,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,2314,1281,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2905,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,4841,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,887,1267,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,4867,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,3264,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,3800,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,1,3798,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,14,13
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14,13
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,13
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,13
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,13,13
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,4371,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,13
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,298,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14,13
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,546,4199,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,14,13
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14,13
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,13
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,13,13
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,1828,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,13
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,13
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14,13
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,13
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,13
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,359,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14,13
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61,13
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,13
109,109_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22,13
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,598,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,13
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,13,13
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,113,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23,13
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,13
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,13
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13,13
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4301,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21,13
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15,13
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15,13
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,59,13
120,120_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41,13
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,347,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
124,124_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48,13
125,125_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,52,13
126,126_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44,13
127,127_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44,13
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
129,129_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48,13
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2653,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,10,13
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
132,132_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31,13
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,2914.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2773,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,9,13
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,1364,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27,13
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
142,142_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55,13
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49,13
145,145_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,13
146,146_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42,13
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2255,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,69,13
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,64,13
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
151,151_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
152,46_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
153,153_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,13
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1414,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,43,13
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
158,158_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,34,13
164,164_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
165,165_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
166,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24,13
168,168_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,1637,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47,13
173,173_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
174,174_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
175,175_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
176,176_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,79,13
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,2582,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,3706,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
180,180_0,FAILED,BoTorch,GenerationStep_1,,,3568,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,3186,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,61,13
182,182_0,FAILED,BoTorch,GenerationStep_1,,,2063,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.190640678001047447764904063661,54,13
183,183_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
184,184_0,FAILED,BoTorch,GenerationStep_1,,,1511,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,80,13
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1805,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,2304,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
187,187_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,13
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,5000,3390,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.771189260769487683333522909379,100,13
189,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,2543,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,87,13
192,192_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
193,193_0,FAILED,BoTorch,GenerationStep_1,,,3893,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,69,13
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,2760,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.556264604439786092271447159874,1,13
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,3264,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,2692,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.889867325486215721142002621491,1,13
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
198,198_0,FAILED,BoTorch,GenerationStep_1,,,1056,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.796712641605781923814788569871,1,13
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,3649,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,4684,572,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.544139274186864474458502627385,52,13
202,202_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,40,13
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,738,4002,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.590468702773089604285416953644,1,13
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,2888,240,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55,13
205,205_0,FAILED,BoTorch,GenerationStep_1,,,4116,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,2252,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.982895479298585228455920059787,31,13
207,207_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,57,13
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,87,13
209,209_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,70,13
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,529,3456,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,13
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,13
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,741.000000000000000000000000000000,1331,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,13
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,604,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,13
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,13
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,799,1757,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,13
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4779,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,71,13
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4908,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,13
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3254,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,13
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,4143,901,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,13
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,346,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,13
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,740,1690,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,5,13
222,222_0,FAILED,BoTorch,GenerationStep_1,,,3153,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,5,13
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4405,4903,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,5,13
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,778.000000000000000000000000000000,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,71,13
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,4999,1470,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,71,13
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,22.000000000000000000000000000000,4782,47,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,13
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,131,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,4,13
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43,13
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,741.000000000000000000000000000000,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,13
230,230_0,FAILED,BoTorch,GenerationStep_1,,,1611,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12,13
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,5,13
232,232_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43,13
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,4926,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,13
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,13,13
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,245,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,13
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,3079,4407,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,4,13
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,651,3856,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,13
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,4675,602,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,71,13
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,973,4675,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,71,13
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1411,4340,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.860805668048945427095475224633,81,13
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1404,4682,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.890825877375047481265823989816,79,13
242,242_0,FAILED,BoTorch,GenerationStep_1,,,4714,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,187,1652,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.192095343532175888423552123641,100,13
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1367,4418,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.802441446432225924390024829336,81,13
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,78.000000000000000000000000000000,4537,19,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,444,869,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4723,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,280,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,12.000000000000000000000000000000,4786,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1444,3327,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.793205113235569858609608218103,88,13
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,839,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
252,252_0,FAILED,BoTorch,GenerationStep_1,,,901,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
253,253_0,FAILED,BoTorch,GenerationStep_1,,,431,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,91,13
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,245,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.043757712089030301183534277243,100,13
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,504,584,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,4718,4636,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4625,333,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,440,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,4205,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
260,260_0,FAILED,BoTorch,GenerationStep_1,,,1052,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
261,261_0,FAILED,BoTorch,GenerationStep_1,,,1197,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,892,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,4735,366,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4728,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
265,265_0,FAILED,BoTorch,GenerationStep_1,,,3639,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,4781,424,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1443,4933,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89,13
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1035,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1325,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,82,13
270,270_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
272,46_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
275,275_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
276,165_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
278,278_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
279,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
280,280_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
281,281_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
282,183_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
283,164_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
285,285_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.833813030958017065152887425938,1,13
286,286_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
290,290_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
291,291_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
293,293_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
294,153_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
296,296_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
300,270_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
301,281_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
302,286_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
303,303_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
304,304_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
305,158_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
306,306_0,FAILED,BoTorch,GenerationStep_1,,,1159,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.296796851513250303788993278431,1,13
307,153_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
308,308_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
309,183_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
310,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
311,278_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
312,280_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
314,173_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
317,174_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
319,293_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
320,165_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
324,176_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
325,46_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
327,327_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
329,151_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
330,275_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
331,278_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
332,46_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
333,158_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
334,153_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
335,286_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
336,173_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
337,290_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
338,174_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
339,183_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
340,168_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
341,270_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
342,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
343,281_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
345,165_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
346,164_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
347,291_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
348,293_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
351,351_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.795040077110768406143392894592,1,13
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
355,151_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
356,280_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,3973,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.120316654913571602358857148829,100,13
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1010,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.503499579693185483897366339079,65,13
360,153_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
361,293_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
362,168_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
363,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
365,365_0,FAILED,BoTorch,GenerationStep_1,,,3743,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
366,308_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
367,280_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
368,46_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
369,175_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
370,290_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
371,371_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.065721973844917541685006767693,100,13
372,183_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
373,303_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
374,275_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
375,281_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
376,291_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
378,158_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
380,380_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
381,381_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.752651962193905510467573094502,1,13
382,164_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
383,286_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
384,384_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
385,174_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
386,386_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,69,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,387,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61,13
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,390,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61,13
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,209,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,61,13
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,5000,214,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,61,13
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,365,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,60,13
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1429,399,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,61,13
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,617,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,4,2842,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4281,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,167,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,59,13
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4269,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,414,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61,13
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,190,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,60,13
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,2766,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3646,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3909,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,13
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,429,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62,13
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,4854,241,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61,13
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3114,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3254,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3704,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,3352,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1,3001,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2551,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,13
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,4121,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,13
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2892,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,13
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4150,2549,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33,13
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4204,4586,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4250,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35,13
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,3447,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,13
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,395,1211,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55,13
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1497,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56,13
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4810,4995,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55,13
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,1,797,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,52,13
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,64,1797,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,58,13
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,964,4970,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37,13
426,426_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,67,13
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,13
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,13
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,4529,3851,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54,13
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,3385,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53,13
431,431_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,13
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26,13
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,5000,2619,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,59,13
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4951,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,25,13
435,158_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1102,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,52,13
437,437_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,7,13
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,2615,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,65,13
440,440_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,67,13
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,166.000000000000000000000000000000,277,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,48,13
442,442_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73,13
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3268,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22,13
444,444_0,FAILED,BoTorch,GenerationStep_1,,,382,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42,13
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,354,2714,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,13
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62,13
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,38,13
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1074,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33,13
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,2561,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72,13
450,275_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,53,13
452,452_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,78,13
453,453_0,FAILED,BoTorch,GenerationStep_1,,,16,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22,13
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62,13
455,455_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,13
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3523,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,55,13
457,457_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,13
458,458_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58,13
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31,13
460,460_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,77,13
461,461_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,75,13
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,13
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,59,13
464,464_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23,13
465,465_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,63,13
466,466_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49,13
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73,13
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,173.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48,13
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54,13
470,470_0,FAILED,BoTorch,GenerationStep_1,,,62,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,87,13
471,471_0,FAILED,BoTorch,GenerationStep_1,,,123,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,53,13
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62,13
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19,13
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,61,13
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4771,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,13
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1599,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62,13
479,479_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.042475201546717314404766341340,45,13
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,24.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25,13
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,490.000000000000000000000000000000,428,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64,13
482,482_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1511,3322,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,56,13
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4532,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,2752,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,183,4766,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25,13
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1681,3309,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,57,13
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86,13
488,488_0,FAILED,BoTorch,GenerationStep_1,,,4182,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,13
489,489_0,FAILED,BoTorch,GenerationStep_1,,,2763,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,429,4929,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64,13
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1015,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,71,13
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4603,3014,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,86,13
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,4573,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,65,13
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4619,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,13,13
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4490,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,12,13
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,545,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,13
497,497_0,FAILED,BoTorch,GenerationStep_1,,,1094,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4007,4776,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,87,13
499,499_0,FAILED,BoTorch,GenerationStep_1,,,4141,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4438,4006,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68,13
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,2811.000000000000000000000000000000,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13,13
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,4554,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27,13
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,252,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,89,13
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,2855.000000000000000000000000000000,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88,13
507,507_0,FAILED,BoTorch,GenerationStep_1,,,4520,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,13
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4366,1349,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,89,13
509,509_0,FAILED,BoTorch,GenerationStep_1,,,1251,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
510,510_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,4.000000000000000000000000000000,2385,3858,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.045609117016196250304904680206,87,13
511,511_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,3565,207,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.761687761748209624101946246810,23,13
512,512_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,7.000000000000000000000000000000,4284,3745,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.636493808001279859354326617904,68,13
513,513_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,4.000000000000000000000000000000,464,2194,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.419383767971768961491108029804,29,13
514,514_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,696,2549,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.173596925999969231568798022636,57,13
515,515_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,4669,1515,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.890162604017183167748328287416,47,13
516,516_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,2557,4859,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.516439456295222032444769411086,88,13
517,517_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,1530,1081,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.298842375544831173606041829771,3,13
518,518_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,1611,3167,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.494137041121721243275288770747,52,13
519,519_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,3104,2147,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.711245874712243653092968997953,38,13
520,520_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,12.000000000000000000000000000000,4751,4236,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.835456759139895477339621265855,96,13
521,521_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,1244,453,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.119377443337813027302019008857,7,13
522,522_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,235,4475,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.349093095909804085330563339085,79,13
523,523_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,3895,839,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.566689498154446469335709934967,18,13
524,524_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,3335,3123,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.941378802742809051018468835537,73,13
525,525_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,1996,1566,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.224811910850927221261486010917,37,13
526,526_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,4.000000000000000000000000000000,2059,2929,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.613305149067193244860618506209,22,13
527,527_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,10.000000000000000000000000000000,3242,1759,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.333364201506599788782381210694,83,13
528,528_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,3909,4673,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.209109652910381554891117161787,28,13
529,529_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,8.000000000000000000000000000000,92,641,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.988081999486312256841813450592,64,13
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,5000,822,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63,13
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,2855,940,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,63,13
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,2497,853,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,63,13
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,17.000000000000000000000000000000,2175,123,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73,13
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,17.000000000000000000000000000000,2781,125,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,73,13
535,535_0,FAILED,BoTorch,BOTORCH_MODULAR,,,414,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,79,13
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1230,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31,13
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,3774,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
538,538_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41,13
539,539_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,78,13
540,540_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38,13
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,79,13
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,4816,846,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,64,13
543,543_0,FAILED,BoTorch,BOTORCH_MODULAR,,,46,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,35,13
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,16.000000000000000000000000000000,4723,233,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78,13
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,18.000000000000000000000000000000,3914,176,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,79,13
546,546_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4008,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41,13
547,547_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3614,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,84,13
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,4571,1097,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77,13
549,549_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35,13
550,550_0,FAILED,BoTorch,BOTORCH_MODULAR,,,949,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,13
551,551_0,FAILED,BoTorch,BOTORCH_MODULAR,,,228,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44,13
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,493,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,34,13
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,4835,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,85,13
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,4103,301,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11,13
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,10.000000000000000000000000000000,2389,71,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,50,13
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,24.000000000000000000000000000000,944,435,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,25.000000000000000000000000000000,5000,296,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,36.000000000000000000000000000000,3442,46,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,13
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,726,117,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,68,13
560,560_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1246,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,13
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1720,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,79,13
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,2266,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,12,13
563,563_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3963,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41,13
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,4917,12,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31,13
565,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18,13
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,42,13
567,567_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4276,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37,13
568,568_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,86,13
569,569_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2918,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,38,13
570,570_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,13
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,919,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43,13
572,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38,13
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,13
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,13
575,575_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39,13
576,576_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4985,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37,13
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,4123,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,94,13
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,97,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,13
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,285,4771,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37,13
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,4355,494,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,13
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,575,905,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,127,684,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,13
583,583_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,87,13
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,108,3646,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44,13
585,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,13
586,586_0,FAILED,BoTorch,BOTORCH_MODULAR,,,119,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38,13
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,12.000000000000000000000000000000,1,2708,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,90,13
588,588_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4504,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37,13
589,589_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43,13
590,590_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1761,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,36,13
591,591_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1425,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,42,13
592,592_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39,13
593,593_0,FAILED,BoTorch,BOTORCH_MODULAR,,,86,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37,13
594,594_0,FAILED,BoTorch,BOTORCH_MODULAR,,,258,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,13
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,9.000000000000000000000000000000,5000,1234,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,13
596,596_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,36,13
597,592_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39,13
598,598_0,FAILED,BoTorch,BOTORCH_MODULAR,,,455,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,13
599,599_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19,13
600,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39,13
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,1596,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,44,13
602,602_0,FAILED,BoTorch,BOTORCH_MODULAR,,,348,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40,13
603,603_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3956,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37,13
604,604_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,87,13
605,605_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38,13
606,606_0,FAILED,BoTorch,BOTORCH_MODULAR,,,329,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39,13
607,607_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4088,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,86,13
608,608_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,13
609,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39,13
610,610_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3779,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,42,13
611,611_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4878,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37,13
612,612_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1914,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,85,13
613,613_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4079,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39,13
614,614_0,FAILED,BoTorch,BOTORCH_MODULAR,,,564,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,13
615,615_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,42,13
616,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,88,13
617,617_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1460,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,13
618,618_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,87,13
619,619_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41,13
620,620_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3410,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,13
621,621_0,FAILED,BoTorch,BOTORCH_MODULAR,,,398,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44,13
622,622_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2930,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38,13
623,623_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37,13
624,624_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1847,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,87,13
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42,13
626,626_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,85,13
627,627_0,FAILED,BoTorch,BOTORCH_MODULAR,,,88,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,40,13
628,628_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,38,13
629,629_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,13
630,630_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,34,13
631,631_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1673,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40,13
632,632_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4845,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,13
633,633_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,41,13
634,618_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,87,13
635,635_0,FAILED,BoTorch,BOTORCH_MODULAR,,,824,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,13
636,636_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4471,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,88,13
637,637_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,42,13
638,638_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1245,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41,13
639,639_0,FAILED,BoTorch,BOTORCH_MODULAR,,,293,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40,13
640,640_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86,13
641,641_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2828,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,38,13
642,642_0,FAILED,BoTorch,BOTORCH_MODULAR,,,843,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,13
643,643_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3866,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38,13
644,644_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,38,13
645,645_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4685,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43,13
646,646_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4494,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,43,13
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,21.000000000000000000000000000000,694,340,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,90,13
648,648_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1520,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41,13
649,649_0,FAILED,BoTorch,BOTORCH_MODULAR,,,93,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,13
650,650_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41,13
651,651_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2983,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41,13
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,1838,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,10,13
653,653_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1790,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,40,13
654,654_0,FAILED,BoTorch,BOTORCH_MODULAR,,,390,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42,13
655,655_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42,13
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,43.000000000000000000000000000000,2431,5,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,38,13
657,657_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3094,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,34,13
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,126,3632,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22,13
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,101,3721,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54,13
660,660_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19,13
661,158_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
662,662_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86,13
663,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18,13
664,664_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,1,639,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,13
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,4025,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,45,13
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,3356,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37,13
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,119,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,6,13
668,151_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,4370,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49,13
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,1,810,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,53,13
671,452_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,78,13
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1029,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,64,13
673,673_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,13,13
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,18,1196,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,72,13
675,675_0,FAILED,BoTorch,BOTORCH_MODULAR,,,700,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,13
676,676_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4702,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,83,13
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,1715,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,51,13
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,619,2710,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,73,13
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,12.000000000000000000000000000000,4619,4513,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
680,680_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,82,13
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,1272,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44,13
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,3827,3493,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,83,13
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,4051,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,13
684,662_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86,13
685,685_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2664,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,81,13
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,4673,1053,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,59,13
687,687_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,83,13
688,158_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,4.000000000000000000000000000000,1,2950,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,13
690,690_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,82,13
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74,13
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,60,13
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1360,2822,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,22,13
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,4085,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,53,13
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,96,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,67,13
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,1753,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,13
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1266,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31,13
698,698_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,1,3455,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,79,13
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,3106,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,14,13
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,9.000000000000000000000000000000,5000,568,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,13
701,701_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,10.000000000000000000000000000000,2993,829,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,13
702,702_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3397,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,13
703,703_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,7,13
704,704_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4639,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,87,13
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,1427,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,71,13
706,706_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,3650,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,90,13
707,707_0,FAILED,BoTorch,BOTORCH_MODULAR,,,317,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,84,13
708,708_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,13
709,709_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,1742,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,93,13
710,710_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1190,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,75,13
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1559,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22,13
712,712_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,4037,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62,13
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,13.000000000000000000000000000000,5000,2067,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,13
714,714_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,11.000000000000000000000000000000,5000,234,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74,13
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,12.000000000000000000000000000000,4738,1500,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,91,13
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,797,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,13
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,4597,141,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29,13
718,690_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,82,13
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,4106,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,13
720,720_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3323,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,65,13
721,721_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,2840,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,80,13
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,2100,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,13
723,723_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1243,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,13
724,724_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4745,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,84,13
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,4370,1364,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,11,13
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,3990,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78,13
727,727_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3047,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,81,13
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,78,980,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,58,13
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1838,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,60,13
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,18.000000000000000000000000000000,4514,563,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88,13
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,79,13
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41,13
733,733_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4839,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,57,13
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,1,829,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46,13
735,735_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,81,13
736,736_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,1021,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,36,13
737,737_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1852,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,59,13
738,738_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,69,13

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Download »job_infos.csv« as file

start_time,end_time,run_time,program_string,recent_samples_size,batch_size,divergence,detect_batch,statistic,significance,subsets,feature_id,ACCURACY,RUNTIME,exit_code,signal,hostname,OO_Info_runtime,OO_Info_peak_memory,OO_Info_mean_memory,OO_Info_lpd,OO_Info_portion_req_label,OO_Info_SLURM_JOB_ID
1744998404,1744998424,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4284 feature_id 13 batch_size 3745 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6364938080012799 subsets 68,4284,3745,str\(\'H\'\),1,str\(\'tstat\'\),0.6364938080012799,68,13,0.05,7,0,None,i7180,7,634.2265625,633.9973958333334,-1,0,4546636
1744998440,1744998460,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 464 feature_id 13 batch_size 2194 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.41938376797176896 subsets 29,464,2194,str\(\'KL\'\),3,str\(\'stdev\'\),0.41938376797176896,29,13,0.05,4,0,None,i7176,4,634.23828125,634.0625,-1,0,4546675
1744998411,1744998462,51,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2385 feature_id 13 batch_size 3858 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.04560911701619625 subsets 87,2385,3858,str\(\'H\'\),2,str\(\'stdev\'\),0.04560911701619625,87,13,0.05,4,0,None,i7171,4,634.4453125,634.27734375,-1,0,4546594
1744998411,1744998468,57,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3565 feature_id 13 batch_size 207 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7616877617482096 subsets 23,3565,207,str\(\'KL\'\),3,str\(\'tstat\'\),0.7616877617482096,23,13,0.05,5,0,None,i7171,5,634.17578125,633.9739583333334,-1,0,4546613
1744998501,1744998521,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 696 feature_id 13 batch_size 2549 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.17359692599996923 subsets 57,696,2549,str\(\'KL\'\),2,str\(\'stdev\'\),0.17359692599996923,57,13,0.05,6,0,None,i7185,6,619.04296875,611.51953125,-1,0,4546719
1744998580,1744998600,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4669 feature_id 13 batch_size 1515 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8901626040171832 subsets 47,4669,1515,str\(\'H\'\),1,str\(\'tstat\'\),0.8901626040171832,47,13,0.05,6,0,None,i7177,6,634.2890625,634.0911458333334,-1,0,4546792
1744998671,1744998691,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2557 feature_id 13 batch_size 4859 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.516439456295222 subsets 88,2557,4859,str\(\'KL\'\),3,str\(\'tstat\'\),0.516439456295222,88,13,0.05,5,0,None,i7177,5,634.09375,633.9388020833334,-1,0,4546875
1744998688,1744998714,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1530 feature_id 13 batch_size 1081 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.2988423755448312 subsets 3,1530,1081,str\(\'H\'\),2,str\(\'stdev\'\),0.2988423755448312,3,13,0.05,6,0,None,i7175,6,633.1953125,632.9244791666666,-1,0,4546949
1744998696,1744998722,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3104 feature_id 13 batch_size 2147 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7112458747122437 subsets 38,3104,2147,str\(\'H\'\),2,str\(\'stdev\'\),0.7112458747122437,38,13,0.05,5,0,None,i7173,5,633.30078125,633.125,-1,0,4547091
1744998691,1744998724,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1244 feature_id 13 batch_size 453 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.11937744333781303 subsets 7,1244,453,str\(\'H\'\),3,str\(\'tstat\'\),0.11937744333781303,7,13,0.05,5,0,None,i7171,5,634.6328125,634.39453125,-1,0,4547216
1744998694,1744998727,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1611 feature_id 13 batch_size 3167 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.49413704112172124 subsets 52,1611,3167,str\(\'KL\'\),1,str\(\'tstat\'\),0.49413704112172124,52,13,0.05,6,0,None,i7173,6,633.42578125,633.23828125,-1,0,4547030
1744998707,1744998747,40,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4751 feature_id 13 batch_size 4236 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8354567591398955 subsets 96,4751,4236,str\(\'KL\'\),1,str\(\'stdev\'\),0.8354567591398955,96,13,0.05,12,0,None,i7172,12,634.12890625,634.005859375,-1,0,4547145
1744998708,1744998765,57,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2059 feature_id 13 batch_size 2929 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6133051490671932 subsets 22,2059,2929,str\(\'H\'\),3,str\(\'stdev\'\),0.6133051490671932,22,13,0.05,4,0,None,i7169,4,633.11328125,632.9440104166666,-1,0,4547528
1744998719,1744998771,52,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3335 feature_id 13 batch_size 3123 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.941378802742809 subsets 73,3335,3123,str\(\'H\'\),2,str\(\'stdev\'\),0.941378802742809,73,13,0.05,5,0,None,i7170,5,634.00390625,633.84375,-1,0,4547403
1744998705,1744998775,70,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1996 feature_id 13 batch_size 1566 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.22481191085092722 subsets 37,1996,1566,str\(\'KL\'\),1,str\(\'tstat\'\),0.22481191085092722,37,13,0.05,6,0,None,i7169,6,634.80078125,634.59375,-1,0,4547471
1744998718,1744998778,60,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3895 feature_id 13 batch_size 839 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5666894981544465 subsets 18,3895,839,str\(\'KL\'\),2,str\(\'stdev\'\),0.5666894981544465,18,13,0.05,6,0,None,i7170,6,634.36328125,634.1171875,-1,0,4547341
1744998719,1744998778,59,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 235 feature_id 13 batch_size 4475 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.3490930959098041 subsets 79,235,4475,str\(\'H\'\),3,str\(\'tstat\'\),0.3490930959098041,79,13,0.05,5,0,None,i7170,5,633.1328125,632.9817708333334,-1,0,4547290
1744998791,1744998818,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3242 feature_id 13 batch_size 1759 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3333642015065998 subsets 83,3242,1759,str\(\'KL\'\),1,str\(\'tstat\'\),0.3333642015065998,83,13,0.05,10,0,None,i7177,10,633.828125,633.60546875,-1,0,4547599
1744998880,1744998900,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3909 feature_id 13 batch_size 4673 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.20910965291038155 subsets 28,3909,4673,str\(\'H\'\),2,str\(\'tstat\'\),0.20910965291038155,28,13,0.05,5,0,None,i7173,5,633.01953125,632.8541666666666,-1,0,4547673
1744998939,1744998965,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 92 feature_id 13 batch_size 641 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9880819994863123 subsets 64,92,641,str\(\'KL\'\),1,str\(\'stdev\'\),0.9880819994863123,64,13,0.05,8,0,None,i7171,8,634.55078125,634.4010416666666,-1,0,4547734
1744999360,1744999380,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 822 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 63,5000,822,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,63,13,0.05,8,0,None,i7180,8,634.5625,634.2565104166666,-1,0,4548704
1744999760,1744999780,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2855 feature_id 13 batch_size 940 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 63,2855,940,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,63,13,0.05,7,0,None,i7172,7,634.7734375,634.4622395833334,-1,0,4549171
1745000181,1745000201,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2497 feature_id 13 batch_size 853 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 63,2497,853,str\(\'H\'\),2,str\(\'tstat\'\),0.999,63,13,0.05,8,0,None,i7180,8,633.65625,633.3736979166666,-1,0,4549595
1745000329,1745000362,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2175 feature_id 13 batch_size 123 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 73,2175,123,str\(\'H\'\),2,str\(\'tstat\'\),0.999,73,13,0.05,17,0,None,i7173,17,634.7421875,634.4990234375,-1,0,4549787
1745000602,1745000634,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2781 feature_id 13 batch_size 125 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 73,2781,125,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,73,13,0.05,17,0,None,i7173,17,634.69140625,634.4765625,-1,0,4550024
1745001041,1745001054,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 414 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 79,414,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,79,13,None,None,1,None,i7170,,,,,,4550508
1745001343,1745001363,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1230 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 31,1,1230,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,31,13,0.05,6,0,None,i7169,6,633.3203125,633.0572916666666,-1,0,4550944
1745001662,1745001681,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 3774 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,3774,str\(\'H\'\),2,str\(\'stdev\'\),0.999,100,13,0.05,5,0,None,i7168,5,634.00390625,633.8463541666666,-1,0,4551415
1745001763,1745001776,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 41,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,41,13,None,None,1,None,i7166,,,,,,4551654
1745002185,1745002206,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 78,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,78,13,None,None,1,None,i7172,,,,,,4552071
1745002541,1745002555,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 38,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,38,13,None,None,1,None,i7180,,,,,,4552304
1745002861,1745002881,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 79,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,79,13,None,None,1,None,i7180,,,,,,4552507
1745003203,1745003229,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4816 feature_id 13 batch_size 846 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 64,4816,846,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,64,13,0.05,7,0,None,i7172,7,633.9375,633.5885416666666,-1,0,4552842
1745003592,1745003605,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 46 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 35,46,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,35,13,None,None,1,None,i7170,,,,,,4553156
1745004062,1745004088,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4723 feature_id 13 batch_size 233 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 78,4723,233,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,78,13,0.05,16,0,None,i7173,16,634.79296875,634.548828125,-1,0,4553544
1745004433,1745004466,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3914 feature_id 13 batch_size 176 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 79,3914,176,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,79,13,0.05,18,0,None,i7180,18,633.47265625,633.24609375,-1,0,4553956
1745004742,1745004756,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4008 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 41,4008,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,41,13,None,None,1,None,i7167,,,,,,4554329
1745005102,1745005122,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3614 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 84,3614,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,84,13,None,None,1,None,i7168,,,,,,4554663
1745005583,1745005602,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4571 feature_id 13 batch_size 1097 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 77,4571,1097,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,77,13,0.05,6,0,None,i7166,6,633.83984375,633.4830729166666,-1,0,4555077
1745005963,1745005976,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 35,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,35,13,None,None,1,None,i7169,,,,,,4555432
1745006343,1745006363,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 949 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 40,949,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,40,13,None,None,1,None,i7185,,,,,,4555717
1745006683,1745006696,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 228 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 44,228,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,44,13,None,None,1,None,i7180,,,,,,4556002
1745007044,1745007058,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 493 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 34,493,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,34,13,None,None,1,None,i7169,,,,,,4556342
1745007404,1745007424,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4835 feature_id 13 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 85,4835,5000,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,85,13,0.05,6,0,None,i7180,6,633.12890625,632.9479166666666,-1,0,4556677
1745007784,1745007804,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4103 feature_id 13 batch_size 301 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 11,4103,301,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,11,13,0.05,6,0,None,i7169,6,634.5390625,634.3971354166666,-1,0,4557039
1745008006,1745008032,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2389 feature_id 13 batch_size 71 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 50,2389,71,str\(\'H\'\),2,str\(\'tstat\'\),0.999,50,13,0.05,10,0,None,i7167,10,634.1171875,633.7708333333334,-1,0,4557281
1745008284,1745008324,40,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 944 feature_id 13 batch_size 435 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,944,435,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,13,0.05,24,0,None,i7167,24,633.31640625,633.21640625,-1,0,4557532
1745008484,1745008531,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 296 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,296,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,13,0.05,25,0,None,i7185,25,544.40625,534.31640625,-1,0,4557731
1745008944,1745008996,52,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3442 feature_id 13 batch_size 46 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 71,3442,46,str\(\'H\'\),1,str\(\'tstat\'\),0.999,71,13,0.05,36,0,None,i7169,36,634.34765625,634.2213541666666,-1,0,4558148
1745009244,1745009263,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 726 feature_id 13 batch_size 117 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 68,726,117,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,68,13,0.05,8,0,None,i7168,8,635.27734375,634.9596354166666,-1,0,4558395
1745009585,1745009598,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1246 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 40,1246,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,40,13,None,None,1,None,i7185,,,,,,4558675
1745010065,1745010086,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1720 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 79,1,1720,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,79,13,0.05,6,0,None,i7173,6,633.390625,633.21484375,-1,0,4559070
1745010484,1745010504,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 2266 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 12,1,2266,str\(\'H\'\),3,str\(\'tstat\'\),0.999,12,13,0.05,6,0,None,i7180,6,633.80078125,633.6158854166666,-1,0,4559429
1745010976,1745010989,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3963 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 41,3963,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,41,13,None,None,1,None,i7169,,,,,,4559877
1745011484,1745011504,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4917 feature_id 13 batch_size 12 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 31,4917,12,str\(\'H\'\),2,str\(\'stdev\'\),0.999,31,13,0.05,8,0,None,i7170,8,635.08984375,634.7942708333334,-1,0,4560368
1745011965,1745011985,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 18,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,18,13,None,None,1,None,i7173,,,,,,4560800
1745012376,1745012395,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 42,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,42,13,None,None,1,None,i7170,,,,,,4561151
1745012706,1745012726,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4276 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 37,4276,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,37,13,None,None,1,None,i7185,,,,,,4561412
1745013124,1745013144,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 86,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,86,13,None,None,1,None,i7169,,,,,,4561769
1745013387,1745013400,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2918 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 38,2918,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,38,13,None,None,1,None,i7170,,,,,,4561984
1745013767,1745013780,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 40,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,40,13,None,None,1,None,i7170,,,,,,4562293
1745014097,1745014111,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 919 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 43,919,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,43,13,None,None,1,None,i7173,,,,,,4562594
1745014407,1745014420,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 38,5000,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,38,13,None,None,1,None,i7168,,,,,,4562843
1745014696,1745014710,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 18,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,18,13,None,None,1,None,i7169,,,,,,4563064
1745015086,1745015106,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 40,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,40,13,None,None,1,None,i7169,,,,,,4563409
1745015446,1745015459,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 39,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,39,13,None,None,1,None,i7173,,,,,,4563715
1745015746,1745015772,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4985 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 37,4985,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,37,13,None,None,1,None,i7185,,,,,,4563964
1745016077,1745016097,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 4123 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 94,1,4123,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,94,13,0.05,5,0,None,i7168,5,633.40234375,633.1875,-1,0,4564236
1745016366,1745016380,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 97 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 40,97,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,40,13,None,None,1,None,i7180,,,,,,4564449
1745016587,1745016613,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 285 feature_id 13 batch_size 4771 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 37,285,4771,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,37,13,0.05,5,0,None,i7185,5,553.28125,543.8958333333334,-1,0,4564619
1745016886,1745016907,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4355 feature_id 13 batch_size 494 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 32,4355,494,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,32,13,0.05,6,0,None,i7173,6,634.9765625,634.6927083333334,-1,0,4564840
1745017156,1745017176,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 575 feature_id 13 batch_size 905 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,575,905,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,13,0.05,6,0,None,i7169,6,633.74609375,633.4869791666666,-1,0,4565058
1745017398,1745017418,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 127 feature_id 13 batch_size 684 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 21,127,684,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,21,13,0.05,5,0,None,i7173,5,633.890625,633.6432291666666,-1,0,4565252
1745017788,1745017821,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 87,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,87,13,None,None,1,None,i7185,,,,,,4565562
1745018188,1745018214,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 108 feature_id 13 batch_size 3646 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 44,108,3646,str\(\'H\'\),1,str\(\'stdev\'\),0.001,44,13,0.05,5,0,None,i7168,5,633.77734375,633.6484375,-1,0,4565919
1745018667,1745018681,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 40,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,40,13,None,None,1,None,i7168,,,,,,4566327
1745019049,1745019062,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 119 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 38,119,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,38,13,None,None,1,None,i7170,,,,,,4566632
1745019379,1745019406,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 2708 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 90,1,2708,str\(\'H\'\),1,str\(\'tstat\'\),0.999,90,13,0.05,12,0,None,i7170,12,634.83984375,634.662109375,-1,0,4566875
1745019868,1745019881,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4504 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 37,4504,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,37,13,None,None,1,None,i7173,,,,,,4567234
1745020310,1745020323,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 43,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,43,13,None,None,1,None,i7169,,,,,,4567564
1745020651,1745020670,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1761 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 36,1761,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,36,13,None,None,1,None,i7169,,,,,,4567828
1745021029,1745021043,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1425 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 42,1425,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,42,13,None,None,1,None,i7168,,,,,,4568150
1745021390,1745021410,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 39,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,39,13,None,None,1,None,i7170,,,,,,4568438
1745021851,1745021865,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 86 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 37,86,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,37,13,None,None,1,None,i7173,,,,,,4568788
1745022190,1745022210,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 258 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 86,258,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,86,13,None,None,1,None,i7170,,,,,,4569045
1745022609,1745022629,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1234 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 76,5000,1234,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,76,13,0.05,9,0,None,i7173,9,633.26171875,632.9348958333334,-1,0,4569317
1745023030,1745023044,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 36,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,36,13,None,None,1,None,i7185,,,,,,4569639
1745023460,1745023480,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 39,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,39,13,None,None,1,None,i7180,,,,,,4569976
1745023910,1745023924,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 455 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 39,455,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,39,13,None,None,1,None,i7173,,,,,,4570372
1745024239,1745024252,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 19,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,19,13,None,None,1,None,i7168,,,,,,4570666
1745024590,1745024603,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 39,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,39,13,None,None,1,None,i7170,,,,,,4570936
1745024990,1745025010,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1596 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 44,5000,1596,str\(\'H\'\),3,str\(\'stdev\'\),0.999,44,13,0.05,5,0,None,i7185,5,634.390625,634.1822916666666,-1,0,4571231
1745025331,1745025344,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 348 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 40,348,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,40,13,None,None,1,None,i7170,,,,,,4571478
1745025951,1745025964,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3956 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 37,3956,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,37,13,None,None,1,None,i7185,,,,,,4571887
1745026311,1745026331,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 87,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,87,13,None,None,1,None,i7185,,,,,,4572110
1745026716,1745026729,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 38,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,38,13,None,None,1,None,i7168,,,,,,4572429
1745027133,1745027154,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 329 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 39,329,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,39,13,None,None,1,None,i7185,,,,,,4572751
1745027632,1745027652,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4088 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 86,4088,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,86,13,None,None,1,None,i7180,,,,,,4573137
1745027930,1745027943,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 40,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,40,13,None,None,1,None,i7168,,,,,,4573379
1745028411,1745028424,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 39,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,39,13,None,None,1,None,i7170,,,,,,4573738
1745028792,1745028806,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3779 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 42,3779,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,42,13,None,None,1,None,i7180,,,,,,4574006
1745029451,1745029464,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4878 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 37,4878,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,37,13,None,None,1,None,i7169,,,,,,4574504
1745029992,1745030012,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1914 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 85,1914,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,85,13,None,None,1,None,i7170,,,,,,4574889
1745030432,1745030445,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4079 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 39,4079,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,39,13,None,None,1,None,i7170,,,,,,4575202
1745030791,1745030804,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 564 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 34,564,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,34,13,None,None,1,None,i7169,,,,,,4575457
1745031292,1745031306,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 42,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,42,13,None,None,1,None,i7185,,,,,,4575793
1745031682,1745031702,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 88,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,88,13,None,None,1,None,i7185,,,,,,4576086
1745032093,1745032106,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1460 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 39,1460,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,39,13,None,None,1,None,i7173,,,,,,4576391
1745032582,1745032602,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 87,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,87,13,None,None,1,None,i7173,,,,,,4576735
1745033002,1745033016,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 41,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,41,13,None,None,1,None,i7170,,,,,,4577016
1745033423,1745033437,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3410 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 40,3410,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,40,13,None,None,1,None,i7173,,,,,,4577289
1745033934,1745033947,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 398 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 44,398,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,44,13,None,None,1,None,i7173,,,,,,4577618
1745034373,1745034386,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2930 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 38,2930,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,38,13,None,None,1,None,i7173,,,,,,4577914
1745034834,1745034848,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 37,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,37,13,None,None,1,None,i7185,,,,,,4578228
1745035313,1745035364,51,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1847 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 87,1847,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,87,13,None,None,1,None,i7168,,,,,,4578589
1745035734,1745035747,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 42,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,42,13,None,None,1,None,i7185,,,,,,4578850
1745036094,1745036114,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 85,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,85,13,None,None,1,None,i7185,,,,,,4579100
1745036401,1745036414,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 88 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 40,88,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,40,13,None,None,1,None,i7170,,,,,,4579288
1745036793,1745036806,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 38,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,38,13,None,None,1,None,i7170,,,,,,4579553
1745037274,1745037288,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 34,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,34,13,None,None,1,None,i7173,,,,,,4579838
1745037754,1745037768,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 34,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,34,13,None,None,1,None,i7173,,,,,,4580131
1745038225,1745038238,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1673 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 40,1673,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,40,13,None,None,1,None,i7173,,,,,,4580429
1745038674,1745038694,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4845 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 86,4845,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,86,13,None,None,1,None,i7170,,,,,,4580751
1745038994,1745039007,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 41,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,41,13,None,None,1,None,i7170,,,,,,4580948
1745039455,1745039475,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 87,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,87,13,None,None,1,None,i7185,,,,,,4581265
1745039955,1745039968,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 824 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 40,824,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,40,13,None,None,1,None,i7185,,,,,,4581563
1745040495,1745040515,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4471 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 88,4471,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,88,13,None,None,1,None,i7180,,,,,,4581877
1745040895,1745040908,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 42,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,42,13,None,None,1,None,i7185,,,,,,4582105
1745041375,1745041388,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1245 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 41,1245,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,41,13,None,None,1,None,i7173,,,,,,4582401
1745041915,1745041928,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 293 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 40,293,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,40,13,None,None,1,None,i7170,,,,,,4582737
1745042365,1745042385,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 86,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,86,13,None,None,1,None,i7185,,,,,,4582999
1745042755,1745042769,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2828 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 38,2828,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,38,13,None,None,1,None,i7180,,,,,,4583217
1745043156,1745043176,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 843 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 86,843,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,86,13,None,None,1,None,i7173,,,,,,4583472
1745043556,1745043570,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3866 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 38,3866,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,38,13,None,None,1,None,i7173,,,,,,4583712
1745043976,1745043989,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 38,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,38,13,None,None,1,None,i7173,,,,,,4583968
1745044276,1745044308,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4685 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 43,4685,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,43,13,None,None,1,None,i7170,,,,,,4584252
1745044766,1745044780,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4494 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 43,4494,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,43,13,None,None,1,None,i7185,,,,,,4584621
1745045235,1745045274,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 694 feature_id 13 batch_size 340 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 90,694,340,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,90,13,0.05,21,0,None,i7170,21,524.48828125,519.39609375,-1,0,4584918
1745045605,1745045625,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1520 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 41,1520,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,41,13,None,None,1,None,i7173,,,,,,4585131
1745045977,1745045990,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 93 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 16,93,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,16,13,None,None,1,None,i7180,,,,,,4585333
1745046321,1745046334,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 41,5000,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,41,13,None,None,1,None,i7180,,,,,,4585529
1745046576,1745046590,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2983 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 41,2983,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,41,13,None,None,1,None,i7185,,,,,,4585680
1745046916,1745046936,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1838 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 10,1,1838,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,10,13,0.05,5,0,None,i7185,5,628.421875,611.71484375,-1,0,4585857
1745047259,1745047273,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1790 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 40,1790,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,40,13,None,None,1,None,i7180,,,,,,4586050
1745047645,1745047665,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 390 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 42,390,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,42,13,None,None,1,None,i7170,,,,,,4586268
1745048007,1745048026,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 42,5000,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,42,13,None,None,1,None,i7173,,,,,,4586479
1745048356,1745048420,64,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2431 feature_id 13 batch_size 5 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 38,2431,5,str\(\'H\'\),1,str\(\'tstat\'\),0.999,38,13,0.05,43,0,None,i7170,43,615.23046875,544.6160714285714,-1,0,4586681
1745048877,1745048891,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3094 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 34,3094,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,34,13,None,None,1,None,i7180,,,,,,4586973
1745049327,1745049347,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 126 feature_id 13 batch_size 3632 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 22,126,3632,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,22,13,0.05,5,0,None,i7185,5,579.96875,578.5052083333334,-1,0,4587230
1745049747,1745049767,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 101 feature_id 13 batch_size 3721 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 54,101,3721,str\(\'H\'\),3,str\(\'stdev\'\),0.001,54,13,0.05,5,0,None,i7185,5,626.30859375,616.69921875,-1,0,4587470
1745050257,1745050277,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 19,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,19,13,None,None,1,None,i7170,,,,,,4587753
1745050758,1745050778,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,13,None,None,1,None,i7173,,,,,,4588036
1745051158,1745051184,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 86,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,86,13,None,None,1,None,i7173,,,,,,4588252
1745051599,1745051624,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 18,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,18,13,None,None,1,None,i7170,,,,,,4588493
1745051958,1745051985,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 639 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 18,1,639,str\(\'H\'\),1,str\(\'stdev\'\),0.001,18,13,0.05,7,0,None,i7185,7,627.5390625,625.4700520833334,-1,0,4588684
1745052398,1745052418,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 4025 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 45,1,4025,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,45,13,0.05,5,0,None,i7185,5,609.25390625,605.734375,-1,0,4588905
1745052799,1745052825,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 3356 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 37,5000,3356,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,37,13,0.05,6,0,None,i7173,6,596.203125,589.41796875,-1,0,4589115
1745053079,1745053099,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 119 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 6,1,119,str\(\'H\'\),2,str\(\'tstat\'\),0.001,6,13,0.05,6,0,None,i7180,6,634.02734375,633.7122395833334,-1,0,4589274
1745053492,1745053512,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,13,None,None,1,None,i7173,,,,,,4589506
1745054122,1745054215,93,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4370 feature_id 13 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 49,4370,5000,str\(\'H\'\),1,str\(\'stdev\'\),0.001,49,13,0.05,5,0,None,i7169,5,580.79296875,573.61328125,-1,0,4589757
1745054728,1745054748,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 810 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 53,1,810,str\(\'H\'\),1,str\(\'stdev\'\),0.999,53,13,0.05,7,0,None,i7185,7,632.80078125,632.0455729166666,-1,0,4590171
1745055260,1745055280,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 78,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,78,13,None,None,1,None,i7185,,,,,,4590453
1745055629,1745055648,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1029 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 64,5000,1029,str\(\'H\'\),1,str\(\'stdev\'\),0.999,64,13,0.05,6,0,None,i7183,6,635.15625,634.9791666666666,-1,0,4590655
1745056048,1745056061,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 13,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,13,13,None,None,1,None,i7183,,,,,,4590894
1745056424,1745056444,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 18 feature_id 13 batch_size 1196 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 72,18,1196,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,72,13,0.05,8,0,None,i7185,8,632.19921875,630.0364583333334,-1,0,4591109
1745056828,1745056842,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 700 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 28,700,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,28,13,None,None,1,None,i7183,,,,,,4591312
1745057279,1745057299,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4702 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 83,4702,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,83,13,None,None,1,None,i7180,,,,,,4591536
1745057639,1745057666,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1715 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 51,1,1715,str\(\'H\'\),3,str\(\'tstat\'\),0.001,51,13,0.05,5,0,None,i7185,5,628.83984375,611.1432291666666,-1,0,4591718
1745058020,1745058046,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 619 feature_id 13 batch_size 2710 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 73,619,2710,str\(\'H\'\),3,str\(\'stdev\'\),0.001,73,13,0.05,6,0,None,i7185,6,594.15625,588.3203125,-1,0,4591931
1745058300,1745058326,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4619 feature_id 13 batch_size 4513 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,4619,4513,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,100,13,0.05,12,0,None,i7183,12,635.1328125,635.0419921875,-1,0,4592082
1745058810,1745058849,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 82,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,82,13,None,None,1,None,i7185,,,,,,4592370
1745059230,1745059249,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1272 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 44,1,1272,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,44,13,0.05,5,0,None,i7183,5,634.37890625,634.1627604166666,-1,0,4592595
1745059589,1745059615,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3827 feature_id 13 batch_size 3493 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 83,3827,3493,str\(\'H\'\),1,str\(\'stdev\'\),0.999,83,13,0.05,8,0,None,i7180,8,634.4140625,634.29296875,-1,0,4592781
1745059870,1745059890,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 4051 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,4051,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,100,13,0.05,5,0,None,i7183,5,633.984375,633.8098958333334,-1,0,4592934
1745060223,1745060243,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 86,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,86,13,None,None,1,None,i7183,,,,,,4593121
1745060688,1745060708,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2664 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 81,2664,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,81,13,None,None,1,None,i7183,,,,,,4593363
1745061210,1745061230,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4673 feature_id 13 batch_size 1053 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 59,4673,1053,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,59,13,0.05,6,0,None,i7183,6,633.71484375,633.43359375,-1,0,4593651
1745061600,1745061620,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 83,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,83,13,None,None,1,None,i7183,,,,,,4593869
1745061991,1745062004,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,13,None,None,1,None,i7185,,,,,,4594073
1745062410,1745062430,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 2950 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 16,1,2950,str\(\'H\'\),2,str\(\'tstat\'\),0.999,16,13,0.05,4,0,None,i7180,4,634.6796875,634.4765625,-1,0,4594311
1745062890,1745062910,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 82,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,82,13,None,None,1,None,i7183,,,,,,4594559
1745063321,1745063348,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 74,1,5000,str\(\'H\'\),1,str\(\'tstat\'\),0.999,74,13,0.05,8,0,None,i7185,8,561.21484375,553.0104166666666,-1,0,4594773
1745063790,1745063810,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 60,5000,5000,str\(\'H\'\),1,str\(\'tstat\'\),0.001,60,13,0.05,6,0,None,i7183,6,635.33203125,635.1015625,-1,0,4595024
1745064260,1745064280,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1360 feature_id 13 batch_size 2822 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 22,1360,2822,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,22,13,0.05,5,0,None,i7180,5,633.4140625,633.2174479166666,-1,0,4595268
1745064661,1745064680,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 4085 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 53,5000,4085,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,53,13,0.05,5,0,None,i7180,5,633.1171875,632.9622395833334,-1,0,4595477
1745064941,1745064967,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 96 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 67,5000,96,str\(\'H\'\),2,str\(\'tstat\'\),0.001,67,13,0.05,10,0,None,i7185,10,599.55078125,585.5638020833334,-1,0,4595621
1745065599,1745065624,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1753 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,1753,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,13,0.05,5,0,None,i7173,5,566.14453125,565.8125,-1,0,4595973
1745066001,1745066021,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1266 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 31,1,1266,str\(\'H\'\),2,str\(\'tstat\'\),0.999,31,13,0.05,6,0,None,i7183,6,633.41015625,633.0872395833334,-1,0,4596187
1745066466,1745066498,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 3455 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 79,1,3455,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,79,13,0.05,7,0,None,i7173,7,559.59765625,546.74609375,-1,0,4596433
1745066881,1745066901,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 3106 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 14,5000,3106,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,14,13,0.05,6,0,None,i7180,6,634.3671875,634.2122395833334,-1,0,4596646
1745067330,1745067356,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 568 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,568,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,13,0.05,9,0,None,i7183,9,634.01953125,633.8606770833334,-1,0,4596866
1745067662,1745067688,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2993 feature_id 13 batch_size 829 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,2993,829,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,13,0.05,10,0,None,i7185,10,627.48046875,609.96875,-1,0,4597027
1745068022,1745068035,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3397 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 32,3397,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,32,13,None,None,1,None,i7185,,,,,,4597212
1745068402,1745068422,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 7,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,7,13,None,None,1,None,i7185,,,,,,4597406
1745068822,1745068841,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4639 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 87,4639,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,87,13,None,None,1,None,i7185,,,,,,4597629
1745069161,1745069181,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1427 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 71,5000,1427,str\(\'H\'\),3,str\(\'stdev\'\),0.999,71,13,0.05,4,0,None,i7180,4,633.5859375,633.3971354166666,-1,0,4597793
1745069583,1745069603,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 3650 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 90,5000,3650,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,90,13,0.05,5,0,None,i7180,5,633.890625,633.6822916666666,-1,0,4598005
1745070003,1745070035,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 317 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 84,317,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,84,13,None,None,1,None,i7185,,,,,,4598224
1745070442,1745070475,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 86,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,86,13,None,None,1,None,i7185,,,,,,4598437
1745070902,1745070928,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1742 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 93,1,1742,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,93,13,0.05,5,0,None,i7183,5,607.44140625,600.4765625,-1,0,4598659
1745071532,1745071546,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1190 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 75,1190,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,75,13,None,None,1,None,i7183,,,,,,4598973
1745072183,1745072209,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1559 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 22,5000,1559,str\(\'H\'\),3,str\(\'stdev\'\),0.001,22,13,0.05,6,0,None,i7183,6,575.81640625,559.0390625,-1,0,4599311
1745072603,1745072623,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 4037 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 62,1,4037,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,62,13,0.05,5,0,None,i7185,5,623.18359375,606.1484375,-1,0,4599523
1745072943,1745072975,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 2067 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,2067,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,13,0.05,13,0,None,i7183,13,627.9296875,625.146484375,-1,0,4599708
1745073322,1745073354,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 234 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 74,5000,234,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,74,13,0.05,11,0,None,i7173,11,602.19921875,597.4697265625,-1,0,4599894
1745073763,1745073790,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4738 feature_id 13 batch_size 1500 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 91,4738,1500,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,91,13,0.05,12,0,None,i7185,12,601.60546875,586.2294921875,-1,0,4600108
1745074144,1745074164,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 797 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 16,5000,797,str\(\'H\'\),1,str\(\'tstat\'\),0.001,16,13,0.05,6,0,None,i7185,6,605.86328125,605.62890625,-1,0,4600299
1745074443,1745074470,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4597 feature_id 13 batch_size 141 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 29,4597,141,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,29,13,0.05,7,0,None,i7185,7,612.70703125,602.1158854166666,-1,0,4600445
1745075003,1745075023,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 82,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,82,13,None,None,1,None,i7183,,,,,,4600712
1745075344,1745075363,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 4106 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 100,5000,4106,str\(\'H\'\),2,str\(\'stdev\'\),0.001,100,13,0.05,5,0,None,i7185,5,576.49609375,571.4401041666666,-1,0,4600856
1745075723,1745075743,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3323 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 65,3323,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,65,13,None,None,1,None,i7183,,,,,,4601049
1745076204,1745076231,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 2840 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 80,1,2840,str\(\'H\'\),2,str\(\'tstat\'\),0.001,80,13,0.05,5,0,None,i7185,5,556.86328125,551.08984375,-1,0,4601259
1745076604,1745076624,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 2100 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 40,1,2100,str\(\'H\'\),1,str\(\'stdev\'\),0.001,40,13,0.05,6,0,None,i7185,6,607.80859375,607.41796875,-1,0,4601452
1745076964,1745076984,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1243 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 12,1243,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,12,13,None,None,1,None,i7185,,,,,,4601626
1745077443,1745077463,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4745 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 84,4745,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,84,13,None,None,1,None,i7183,,,,,,4601859
1745077944,1745077964,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4370 feature_id 13 batch_size 1364 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 11,4370,1364,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,11,13,0.05,5,0,None,i7185,5,603.98046875,599.390625,-1,0,4602103
1745078484,1745078504,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 3990 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 78,5000,3990,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,78,13,0.05,6,0,None,i7183,6,634.22265625,634.0364583333334,-1,0,4602357
1745078984,1745079004,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3047 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 81,3047,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,81,13,None,None,1,None,i7185,,,,,,4602585
1745079604,1745079624,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 78 feature_id 13 batch_size 980 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 58,78,980,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,58,13,0.05,5,0,None,i7183,5,633.578125,633.30078125,-1,0,4602879
1745080086,1745080106,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1838 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 60,1,1838,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,60,13,0.05,6,0,None,i7180,6,635.1171875,634.95703125,-1,0,4603097
1745080711,1745080744,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4514 feature_id 13 batch_size 563 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 88,4514,563,str\(\'H\'\),1,str\(\'stdev\'\),0.999,88,13,0.05,18,0,None,i7183,18,634.3828125,634.2451171875,-1,0,4603384
1745081192,1745081212,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 79,5000,5000,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,79,13,0.05,6,0,None,i7183,6,633.07421875,632.9153645833334,-1,0,4603597
1745081513,1745081533,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 41,1,5000,str\(\'H\'\),1,str\(\'tstat\'\),0.001,41,13,0.05,5,0,None,i7185,5,633.81640625,633.6354166666666,-1,0,4603746
1745082075,1745082094,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4839 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 57,4839,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,57,13,None,None,1,None,i7185,,,,,,4603983
1745082573,1745082593,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 829 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 46,1,829,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,46,13,0.05,7,0,None,i7183,7,634.51953125,634.3606770833334,-1,0,4604202
1745083188,1745083208,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 81,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,81,13,None,None,1,None,i7185,,,,,,4604460
1745083657,1745083676,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1021 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 36,5000,1021,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,36,13,0.05,5,0,None,i7185,5,633.33984375,633.1393229166666,-1,0,4604657
1745084035,1745084061,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 13 batch_size 1852 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 59,1,1852,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,59,13,0.05,7,0,None,i7185,7,633.4296875,633.2565104166666,-1,0,4604785
1745084493,1745084512,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 69,5000,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,69,13,None,None,1,None,i7183,,,,,,4604888

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/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4550508/4550508_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4551654/4551654_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552071/4552071_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552304/4552304_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552507/4552507_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553156/4553156_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4554329/4554329_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4554663/4554663_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4555432/4555432_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4555717/4555717_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556002/4556002_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556342/4556342_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4558675/4558675_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4559877/4559877_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560800/4560800_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561151/4561151_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561412/4561412_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561769/4561769_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561984/4561984_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562293/4562293_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562594/4562594_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562843/4562843_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563064/4563064_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563409/4563409_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563715/4563715_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563964/4563964_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564449/4564449_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565562/4565562_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566327/4566327_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566632/4566632_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567234/4567234_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567564/4567564_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567828/4567828_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568150/4568150_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568438/4568438_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568788/4568788_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569045/4569045_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569639/4569639_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569976/4569976_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570372/4570372_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570666/4570666_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570936/4570936_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571478/4571478_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571887/4571887_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572110/4572110_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572429/4572429_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572751/4572751_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573137/4573137_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573379/4573379_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573738/4573738_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574006/4574006_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574504/4574504_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574889/4574889_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575202/4575202_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575457/4575457_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575793/4575793_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576086/4576086_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576391/4576391_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576735/4576735_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577016/4577016_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577289/4577289_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577618/4577618_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577914/4577914_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578228/4578228_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578589/4578589_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578850/4578850_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579100/4579100_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579288/4579288_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579553/4579553_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579838/4579838_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580131/4580131_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580429/4580429_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580751/4580751_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580948/4580948_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581265/4581265_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581563/4581563_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581877/4581877_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582105/4582105_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582401/4582401_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582737/4582737_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582999/4582999_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583217/4583217_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583472/4583472_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583712/4583712_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583968/4583968_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584252/4584252_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584621/4584621_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585131/4585131_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585333/4585333_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585529/4585529_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585680/4585680_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586050/4586050_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586268/4586268_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586479/4586479_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586973/4586973_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587753/4587753_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588036/4588036_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588252/4588252_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588493/4588493_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4589506/4589506_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4590453/4590453_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4590894/4590894_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4591312/4591312_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4591536/4591536_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4592370/4592370_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4593121/4593121_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4593363/4593363_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4593869/4593869_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4594073/4594073_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4594559/4594559_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597212/4597212_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597406/4597406_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597629/4597629_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4598224/4598224_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4598437/4598437_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4598973/4598973_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4600712/4600712_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601049/4601049_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601626/4601626_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601859/4601859_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4602585/4602585_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4603983/4603983_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4604460/4604460_0_log.err not found

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timestamp,ram_usage_mb,cpu_usage_percent
1744998354,644.3671875,8.3
1744998354,644.3671875,8.6
1744998354,644.3671875,8.1
1744998354,644.3671875,7.7
1744998354,644.3671875,5.7
1744998354,644.3671875,9.8
1744998354,644.3671875,8.9
1744998826,689.0078125,18.6
1744998826,689.0078125,42.1
1744998826,689.0078125,33.7
1744998826,689.0078125,25.8
1745005970,832.3359375,13.2
1745005970,832.3359375,7.0
1745005970,832.3359375,6.9
1745005970,832.3359375,3.2
1745013384,919.26953125,8.7
1745013384,919.26953125,8.3
1745013384,919.26953125,8.2
1745013384,919.26953125,7.5
1745020315,892.40625,8.7
1745020315,892.40625,7.3
1745020315,892.40625,7.2
1745020315,892.40625,9.8
1745028420,886.23046875,8.8
1745028420,886.23046875,9.7
1745028420,886.23046875,9.2
1745028420,886.23046875,5.4
1745037283,886.23046875,8.8
1745037283,886.23046875,7.0
1745037283,886.23046875,6.9
1745037283,886.23046875,8.3
1745045980,927.5234375,8.5
1745045980,927.5234375,7.6
1745045980,927.5234375,7.6
1745045980,927.5234375,9.3
1745053961,911.36328125,8.1
1745053961,911.36328125,7.1
1745053961,911.36328125,6.9
1745053961,911.36328125,9.1
1745062420,942.4765625,8.0
1745062420,942.4765625,8.1
1745062420,942.4765625,7.9
1745062420,942.4765625,8.7
1745070910,948.234375,8.1
1745070910,948.234375,8.1
1745070910,948.234375,7.6
1745070910,948.234375,8.3
1745080084,1003.89453125,8.1
1745080084,1003.89453125,8.0
1745080084,1003.89453125,7.3
1745080084,1003.89453125,9.1

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Correlation Heatmap Explanation

This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.

How It Works

The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:

• Positive correlation: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).
• Negative correlation: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).
• Zero correlation: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).

Color Scale: Yellow to Purple (Viridis)

The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:

• Yellow (brightest): A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.
• Green: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.
• Blue: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.
• Purple (darkest): A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.

What the Heatmap Shows

In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.

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				color: unset !important;
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			.tooltipster-base {
				border: 1px solid black;
				position: absolute;
				border-radius: 8px;
				padding: 2px;
				color: white;
				background-color: #61686f;
				width: 70%;
				min-width: 200px;
				pointer-events: none;
			}
			
			td {
				padding-top: 3px;
				padding-bottom: 3px;
			}
			
			.left_side {
				text-align: right;
			}
			
			.right_side {
				text-align: left;
			}
			
			.spinner {
				border: 8px solid rgba(0, 0, 0, 0.1);
				border-left: 8px solid #3498db;
				border-radius: 50%;
				width: 50px;
				height: 50px;
				animation: spin 1s linear infinite;
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			#spinner-overlay {
				-webkit-text-stroke: 1px black;
				white !important;
				position: fixed;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				display: flex;
				justify-content: center;
				align-items: center;
				z-index: 9999;
			}
			
			#spinner-container {
				text-align: center;
				color: #fff;
				display: contents;
			}
			
			#spinner-text {
				font-size: 3vw;
				margin-left: 10px;
			}
			
			a, a:visited, a:active, a:hover, a:link {
				color: #007bff;
				text-decoration: none;
			}
			
			.copy-container {
				display: inline-block;
				position: relative;
				cursor: pointer;
				margin-left: 10px;
				color: blue;
			}
			
			.copy-container:hover {
				text-decoration: underline;
			}
			
			.clipboard-icon {
				position: absolute;
				top: 5px;
				right: 5px;
				font-size: 1.5em;
			}
			
			#main_tab {
				overflow: scroll;
				width: max-content;
			}
			
			.ui-tabs .ui-tabs-nav li {
				user-select: none;
			}
			
			.stacktrace_table {
				background-color: black !important;
				color: white !important;
			}
			
			#breadcrumb {
				user-select: none;
			}
			
			#statusBar {
				user-select: none;
			}
			
			.error_line {
				background-color: red !important;
				color: white !important;
			}
			
			.header_table {
				border: 0px !important;
				padding: 0px !important;
				width: revert !important;
				min-width: revert !important;
			}
			
			.img_auto_width {
				max-width: revert !important;
			}
			
			#main_dir_or_plot_view {
				display: inline-grid;
			}
			
			#refresh_button {
				width: 300px;
			}
			
			._share_link {
				color: black !important;
			}
			
			#footer_element {
				height: 30px;
				background-color: #f8f9fa;
				padding: 0px;
				text-align: center;
				border-top: 1px solid #dee2e6;
				width: 100%;
				box-sizing: border-box;
				position: fixed;
				bottom: 0;
				z-index: 2;
				margin-left: -9px;
				z-index: 99;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 50px;
				height: 26px;
			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.slider:before {
				position: absolute;
				content: "";
				height: 20px;
				width: 20px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #444;
			}
			
			input:checked + .slider:before {
				transform: translateX(24px);
			}
			
			.mode-text {
				position: absolute;
				top: 5px;
				left: 65px;
				font-size: 14px;
				color: black;
				transition: .4s;
				width: 65px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
				margin-top: 3px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
					width: inherit;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.hide_on_mobile {
					display: none;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					white-space: pre;
					font-size: 2em;
				}
			}
			
			.header_button {
				white-space: pre;
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			
			input::placeholder {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			.gridjs-th-content {
				overflow: visible !important;
			}
			
			.error_text {
				color: red;
			}
			
			h1, h2, h3, h4, h5, h6 {
				margin-top: 1em;
				font-weight: bold;
				color: #333;
				border-left: 5px solid #ccc;
				padding-left: 0.5em;
			}
			
			.no_cursive {
				font-style: normal;	
			}
			
			.caveat {
				background-color: #fff8b3;
				border: 1px solid #f2d600;
				padding: 1em 1em 1em 70px;
				position: relative;
				font-family: sans-serif;
				color: #665500;
				margin: 1em 0;
				border-radius: 4px;
			}
			
			.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
				margin-top: 0;
				margin-bottom: 0.5em;
				font-weight: bold;
			}
			
			.caveat::before {
				content: "⚠️";
				font-size: 50px;
				line-height: 1;
				position: absolute;
				left: 10px;
				top: 50%;
				transform: translateY(-50%);
				pointer-events: none;
				user-select: none;
			}
			
			.caveat.warning::before { content: "⚠️"; }
			.caveat.stop::before { content: "🛑"; }
			.caveat.exclamation::before { content: "❗"; }
			.caveat.alarm::before { content: "🚨"; }
			.caveat.tip::before { content: "💡"; }
			
			.tutorial_icon {
				display: inline-block;
				font-size: 1.3em;
				line-height: 1;
				vertical-align: middle;
				transform: translateY(-10%);
				padding: 0.2em 0;
			}
			
			.highlight {
				background-color: yellow;
				font-weight: bold;
			}
			
			#searchResults li {
				opacity: 0;
				transform: translateY(8px);
				animation: fadeInUp 0.3s ease-out forwards;
				animation-delay: 0.05s;
				list-style: none;
				margin-bottom: 5px;
			}
			
			@keyframes fadeInUp {
				to {
					opacity: 1;
					transform: translateY(0);
				}
			}
			
			.search_headline {
				font-weight: bold;
				margin-top: 1em;
				margin-bottom: 0.3em;
				color: #444;
			}
			
			.search_share_path {
				color: black;
				display: block ruby;
				margin-top: 20px;
			}
			
			@media print {
				#scads_bar {
					display: none !important;
				}
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h3'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M6 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h3'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1M8 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h3M3 8h2'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M9 6h2m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%234d6185' d='M5 6h1m5 0h1M4 7h3m3 0h3M5 8h3m1 0h3M6 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23c1d3fb' d='M7 7h2M8 8h1'/%3E%3Cpath stroke='%23b6cefb' d='M9 7h1m2 1h1m-2 1h2'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h3m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c2d5fc' d='M6 11h2'/%3E%3Cpath stroke='%23bad4fc' d='M9 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23bdd3fb' d='M8 12h1'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1M1 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 2h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 2h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 2h1'/%3E%3Cpath stroke='%23e1eafe' d='M2 3h1'/%3E%3Cpath stroke='%23dae6fe' d='M3 3h1M2 4h1'/%3E%3Cpath stroke='%23d4e1fc' d='M4 3h1M2 5h1'/%3E%3Cpath stroke='%23d1e0fd' d='M5 3h1M3 5h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 3h1M2 6h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 3h1M5 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M8 3h1M4 5h1M2 7h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 3h1M6 4h1M4 6h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 3h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 3h1m-9 7h3'/%3E%3Cpath stroke='%23c2d3fc' d='M12 3h1m-2 1h1M2 10h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 3h1m-1 2h1M4 13h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 3h1M4 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 3h1'/%3E%3Cpath stroke='%23d8e3fc' d='M3 4h1'/%3E%3Cpath stroke='%23d1defd' d='M4 4h1'/%3E%3Cpath stroke='%23c9d8fc' d='M7 4h1M5 5h2M4 7h1M2 8h1'/%3E%3Cpath stroke='%234d6185' d='M8 4h1M7 5h3M6 6h3M5 7h3M4 8h3M5 9h3m-2 1h3m-2 1h3m-2 1h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 4h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 4h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 4h1M2 11h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 4h1'/%3E%3Cpath stroke='%23baccf4' d='M14 4h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 4h1'/%3E%3Cpath stroke='%23c4d4f7' d='M1 5h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 5h3M9 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 5h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 5h1'/%3E%3Cpath stroke='%23bed0f8' d='M1 6h1'/%3E%3Cpath stroke='%23ceddfd' d='M3 6h1'/%3E%3Cpath stroke='%23c8d6fb' d='M5 6h1M2 9h3'/%3E%3Cpath stroke='%23bacdfc' d='M10 6h1m1 0h2M2 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 6h1M8 7h3m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 6h1'/%3E%3Cpath stroke='%23cddafc' d='M3 7h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 7h1'/%3E%3Cpath stroke='%23cad8fd' d='M3 8h1'/%3E%3Cpath stroke='%23c1d3fb' d='M7 8h2'/%3E%3Cpath stroke='%23b6cefb' d='M9 8h3M9 9h4'/%3E%3Cpath stroke='%23bacbf4' d='M14 8h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 8h1m-1 1h1m-1 4h1'/%3E%3Cpath stroke='%23bdd3fb' d='M8 9h1m-2 3h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 9h1m-5 4h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 9h1'/%3E%3Cpath stroke='%23b1c7f6' d='M1 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h3m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%239fb5d2' d='M16 10h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23adc3f6' d='M1 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M4 11h1'/%3E%3Cpath stroke='%23c2d5fc' d='M5 11h2'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M1 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M4 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M5 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M1 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M2 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M3 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M6 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 13h1'/%3E%3Cpath stroke='%23b8cffa' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M1 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M2 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M3 14h1m3 0h2'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M0 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M0 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M1 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M2 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M3 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M4 16h1'/%3E%3Cpath stroke='%237da0d4' d='M5 16h1m4 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M6 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M7 16h3'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 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d='M14 8h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 8h1m-1 5h1'/%3E%3Cpath stroke='%23b4c8f6' d='M1 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M7 9h1m-3 2h1'/%3E%3Cpath stroke='%23b6cefb' d='M11 9h2'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M1 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M6 10h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h3m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M1 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M4 11h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M1 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M4 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14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M0 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M0 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M1 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M2 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M3 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M4 16h1'/%3E%3Cpath stroke='%237da0d4' d='M5 16h1m4 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M6 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M7 16h3'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			menu[role=tablist] button{
				background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
			}
			
			menu[role=tablist] button: hover{
				box-shadow: unset;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]{
				border-color: #919b9c;
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]: first-of-type: before{
				content: "";
				display: block;
				position: absolute;
				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
			}
			
			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
			}
			
			ul.tree-view{
				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
			}
			
			@keyframes sliding{
				0%{
					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
				}
			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
				padding: 1px 2px 1px 0;
				overflow: hidden;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress,progress: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px
			}
			
			progress[value]: :-webkit-progress-bar{
				background-color: transparent
			}
			
			progress[value]: :-webkit-progress-value{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress[value]: :-moz-progress-bar{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-webkit-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-webkit-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]){
				position: relative
			}
			
			progress: not([value]): before{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before,progress: not([value]): before: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): after{
				box-sizing: border-box;
				content: "";
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 13 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 39",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3779 feature_id 13 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 42",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1460 feature_id 13 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 39",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 OutdoorObjects 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3410 feature_id 13 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 40",
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			        1745074443.2442396,
			        20,
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			        5
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			        20,
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			        5
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			    [
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			        20,
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			        20,
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			    ],
			    [
			        1745074996.321868,
			        20,
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			        10
			    ],
			    [
			        1745074996.7929947,
			        20,
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			    ],
			    [
			        1745075006.5928774,
			        20,
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			        20,
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			    [
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			        20,
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			    [
			        1745075318.5641253,
			        20,
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			    ],
			    [
			        1745075320.033979,
			        20,
			        2,
			        10
			    ],
			    [
			        1745075320.2666836,
			        20,
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			    ],
			    [
			        1745075330.6212792,
			        20,
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			    [
			        1745075330.6826854,
			        20,
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			    [
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			        20,
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			    [
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			        20,
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			    [
			        1745075718.3561528,
			        20,
			        2,
			        10
			    ],
			    [
			        1745075718.8161259,
			        20,
			        2,
			        10
			    ],
			    [
			        1745075728.709143,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075728.8822901,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076190.27538,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076190.6434064,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076191.9952464,
			        20,
			        2,
			        10
			    ],
			    [
			        1745076192.2329602,
			        20,
			        2,
			        10
			    ],
			    [
			        1745076202.4137652,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076202.4862664,
			        20,
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			    ],
			    [
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			        20,
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			    [
			        1745076582.3863304,
			        20,
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			    [
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			        20,
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			    [
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			        20,
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			    [
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			    [
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			    [
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			        20,
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			    [
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			        20,
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			    [
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			        20,
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			    [
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			        20,
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			    [
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			        20,
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			    [
			        1745076951.9063175,
			        20,
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			    ],
			    [
			        1745077436.4227476,
			        20,
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			    ],
			    [
			        1745077436.9584093,
			        20,
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			    [
			        1745077438.3204675,
			        20,
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			    ],
			    [
			        1745077438.5488975,
			        20,
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			    ],
			    [
			        1745077448.8515098,
			        20,
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			    ],
			    [
			        1745077448.9134665,
			        20,
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			    ],
			    [
			        1745077931.5261874,
			        20,
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			    [
			        1745077931.9732318,
			        20,
			        1,
			        5
			    ],
			    [
			        1745077933.365759,
			        20,
			        2,
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			    ],
			    [
			        1745077933.6254125,
			        20,
			        2,
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			    ],
			    [
			        1745077943.8415031,
			        20,
			        1,
			        5
			    ],
			    [
			        1745077943.8989794,
			        20,
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			    ],
			    [
			        1745078468.3841858,
			        20,
			        1,
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			    ],
			    [
			        1745078468.9249313,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078470.2896914,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078470.7739775,
			        20,
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			    ],
			    [
			        1745078480.8244464,
			        20,
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			    ],
			    [
			        1745078480.9909234,
			        20,
			        1,
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			    ],
			    [
			        1745078969.9411764,
			        20,
			        1,
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			    ],
			    [
			        1745078970.228775,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078972.873231,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078973.299928,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078983.0602047,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078983.4493248,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079592.3973968,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079592.9528244,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079594.3385327,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079594.5984116,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079604.9592886,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079605.1509042,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080065.1743772,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080065.4341543,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080067.0079682,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080067.4290926,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080077.2786515,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080077.5334117,
			        20,
			        1,
			        5
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1744998354,
			        644.3671875,
			        8.3
			    ],
			    [
			        1744998354,
			        644.3671875,
			        8.6
			    ],
			    [
			        1744998354,
			        644.3671875,
			        8.1
			    ],
			    [
			        1744998354,
			        644.3671875,
			        7.7
			    ],
			    [
			        1744998354,
			        644.3671875,
			        5.7
			    ],
			    [
			        1744998354,
			        644.3671875,
			        9.8
			    ],
			    [
			        1744998354,
			        644.3671875,
			        8.9
			    ],
			    [
			        1744998826,
			        689.0078125,
			        18.6
			    ],
			    [
			        1744998826,
			        689.0078125,
			        42.1
			    ],
			    [
			        1744998826,
			        689.0078125,
			        33.7
			    ],
			    [
			        1744998826,
			        689.0078125,
			        25.8
			    ],
			    [
			        1745005970,
			        832.3359375,
			        13.2
			    ],
			    [
			        1745005970,
			        832.3359375,
			        7
			    ],
			    [
			        1745005970,
			        832.3359375,
			        6.9
			    ],
			    [
			        1745005970,
			        832.3359375,
			        3.2
			    ],
			    [
			        1745013384,
			        919.26953125,
			        8.7
			    ],
			    [
			        1745013384,
			        919.26953125,
			        8.3
			    ],
			    [
			        1745013384,
			        919.26953125,
			        8.2
			    ],
			    [
			        1745013384,
			        919.26953125,
			        7.5
			    ],
			    [
			        1745020315,
			        892.40625,
			        8.7
			    ],
			    [
			        1745020315,
			        892.40625,
			        7.3
			    ],
			    [
			        1745020315,
			        892.40625,
			        7.2
			    ],
			    [
			        1745020315,
			        892.40625,
			        9.8
			    ],
			    [
			        1745028420,
			        886.23046875,
			        8.8
			    ],
			    [
			        1745028420,
			        886.23046875,
			        9.7
			    ],
			    [
			        1745028420,
			        886.23046875,
			        9.2
			    ],
			    [
			        1745028420,
			        886.23046875,
			        5.4
			    ],
			    [
			        1745037283,
			        886.23046875,
			        8.8
			    ],
			    [
			        1745037283,
			        886.23046875,
			        7
			    ],
			    [
			        1745037283,
			        886.23046875,
			        6.9
			    ],
			    [
			        1745037283,
			        886.23046875,
			        8.3
			    ],
			    [
			        1745045980,
			        927.5234375,
			        8.5
			    ],
			    [
			        1745045980,
			        927.5234375,
			        7.6
			    ],
			    [
			        1745045980,
			        927.5234375,
			        7.6
			    ],
			    [
			        1745045980,
			        927.5234375,
			        9.3
			    ],
			    [
			        1745053961,
			        911.36328125,
			        8.1
			    ],
			    [
			        1745053961,
			        911.36328125,
			        7.1
			    ],
			    [
			        1745053961,
			        911.36328125,
			        6.9
			    ],
			    [
			        1745053961,
			        911.36328125,
			        9.1
			    ],
			    [
			        1745062420,
			        942.4765625,
			        8
			    ],
			    [
			        1745062420,
			        942.4765625,
			        8.1
			    ],
			    [
			        1745062420,
			        942.4765625,
			        7.9
			    ],
			    [
			        1745062420,
			        942.4765625,
			        8.7
			    ],
			    [
			        1745070910,
			        948.234375,
			        8.1
			    ],
			    [
			        1745070910,
			        948.234375,
			        8.1
			    ],
			    [
			        1745070910,
			        948.234375,
			        7.6
			    ],
			    [
			        1745070910,
			        948.234375,
			        8.3
			    ],
			    [
			        1745080084,
			        1003.89453125,
			        8.1
			    ],
			    [
			        1745080084,
			        1003.89453125,
			        8
			    ],
			    [
			        1745080084,
			        1003.89453125,
			        7.3
			    ],
			    [
			        1745080084,
			        1003.89453125,
			        9.1
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout, no_height = 0) {
				layout["width"] = get_graph_width();
				if (!no_height) {
					layout["height"] = get_graph_height();
				}
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true,
					ellipsis: false
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_node";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',
						jitter: 0.5,
						pointpos: 0
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: get_axis_title_data("Generation Method")
					},
					boxmode: 'group'
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
					let text = el.textContent.toLowerCase();
					let color = text.includes("manual") ? "green" :
						text.includes("sobol") ? "orange" :
						text.includes("saasbo") ? "pink" :
						text.includes("uniform") ? "lightblue" :
						text.includes("legacy_gpei") ? "sienna" :
						text.includes("bo_mixed") ? "aqua" :
						text.includes("randomforest") ? "darkseagreen" :
						text.includes("external_generator") ? "purple" :
						text.includes("botorch") ? "yellow" : "";
					if (color !== "") {
						el.style.backgroundColor = color;
					}
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" :
						el.textContent.includes("ABANDONED") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			function demo_mode(nr_sec = 3) {
				let i = 0;
				let tabs = $('menu[role="tablist"] > button');
			
				setInterval(() => {
					tabs.attr('aria-selected', 'false').removeClass('active');
			
					let tab = tabs.eq(i % tabs.length);
					tab.attr('aria-selected', 'true').addClass('active');
			
					tab.trigger('click');
			
					i++;
				}, nr_sec * 1000);
			}
			
			function resizePlotlyCharts() {
				const plotlyElements = document.querySelectorAll('.js-plotly-plot');
			
				if (plotlyElements.length) {
					const windowWidth = window.innerWidth;
					const windowHeight = window.innerHeight;
			
					const newWidth = windowWidth * 0.9;
					const newHeight = windowHeight * 0.9;
			
					plotlyElements.forEach(function(element, index) {
						const layout = {
							width: newWidth,
							height: newHeight,
							plot_bgcolor: 'rgba(0, 0, 0, 0)',
							paper_bgcolor: 'rgba(0, 0, 0, 0)',
						};
			
						Plotly.relayout(element, layout)
					});
				}
			
				make_text_in_parallel_plot_nicer();
				apply_theme_based_on_system_preferences();
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			
			window.addEventListener('resize', function() {
				resizePlotlyCharts();
			});
			
			"use strict";
			
			function get_row_by_index(idx) {
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
			
				var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
			
				if(trial_index_col_idx == -1) {
					error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
			
					return null;
				}
			
				for (var i = 0; i < tab_results_csv_json.length; i++) {
					var row = tab_results_csv_json[i];
					var trial_index = row[trial_index_col_idx];
			
					if (trial_index == idx) {
						return row;
					}
				}
			
				return null;
			}
			
			function load_pareto_graph_from_idxs () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				if(pareto_idxs === null) {
					var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
					$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
					return;	
				}
			
				var table = get_pareto_table_data_from_idx();
			
				var html_tables = createParetoTablesFromData(table);
			
				$("#pareto_from_idxs_table").html(html_tables);
			
				renderParetoFrontPlots(table);
			
				apply_theme_based_on_system_preferences();
			}
			
			function renderParetoFrontPlots(data) {
				try {
					let container = document.getElementById("pareto_front_idxs_plot_container");
					if (!container) {
						console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
						return;
					}
			
					container.innerHTML = "";
			
					if(data === undefined || data === null) {
						var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
						$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
						return;
					}
			
					Object.keys(data).forEach((key, idx) => {
						if (!key.startsWith("Pareto front for ")) return;
			
						let label = key.replace("Pareto front for ", "");
						let [xKey, yKey] = label.split("/");
			
						if (!xKey || !yKey) {
							console.warn("Could not extract two objectives from key:", key);
							return;
						}
			
						let entries = data[key];
						let x = [];
						let y = [];
						let hoverTexts = [];
			
						entries.forEach((entry) => {
							let results = entry.results || {};
							let values = entry.values || {};
			
							let xVal = (results[xKey] || [])[0];
							let yVal = (results[yKey] || [])[0];
			
							if (xVal === undefined || yVal === undefined) {
								console.warn("Missing values for", xKey, yKey, "in", entry);
								return;
							}
			
							x.push(xVal);
							y.push(yVal);
			
							let hoverInfo = [];
			
							if ("trial_index" in values) {
								hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
							}
			
							Object.keys(values)
								.filter(k => k !== "trial_index")
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
								});
			
							Object.keys(results)
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
								});
			
							hoverTexts.push(hoverInfo.join("<br>"));
						});
			
						let wrapper = document.createElement("div");
						wrapper.style.marginBottom = "30px";
			
						let titleEl = document.createElement("h3");
						titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
						wrapper.appendChild(titleEl);
			
						let divId = `pareto_plot_${idx}`;
						let plotDiv = document.createElement("div");
						plotDiv.id = divId;
						plotDiv.style.width = "100%";
						plotDiv.style.height = "400px";
			
						wrapper.appendChild(plotDiv);
						container.appendChild(wrapper);
			
						let trace = {
							x: x,
							y: y,
							text: hoverTexts,
							hoverinfo: "text",
							mode: "markers",
							type: "scatter",
							marker: {
								size: 8,
								color: 'rgb(31, 119, 180)',
								line: {
									width: 1,
									color: 'black'
								}
							},
							name: label
						};
			
						let layout = {
							xaxis: { title: { text: xKey } },
							yaxis: { title: { text: yKey } },
							margin: { t: 10, l: 60, r: 20, b: 50 },
							hovermode: "closest",
							showlegend: false
						};
			
						Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
					});
				} catch (e) {
					console.error("Error while rendering Pareto front plots:", e);
				}
			}
			
			function createParetoTablesFromData(data) {
				try {
					var container = document.createElement("div");
			
					var parsedData;
					try {
						parsedData = typeof data === "string" ? JSON.parse(data) : data;
					} catch (e) {
						console.error("JSON parsing failed:", e);
						return container;
					}
			
					for (var sectionTitle in parsedData) {
						if (!parsedData.hasOwnProperty(sectionTitle)) {
							continue;
						}
			
						var sectionData = parsedData[sectionTitle];
						var heading = document.createElement("h2");
						heading.textContent = sectionTitle;
						container.appendChild(heading);
			
						var table = document.createElement("table");
						table.style.borderCollapse = "collapse";
						table.style.marginBottom = "2em";
						table.style.width = "100%";
			
						var thead = document.createElement("thead");
						var headerRow = document.createElement("tr");
			
						var allValueKeys = new Set();
						var allResultKeys = new Set();
			
						sectionData.forEach(entry => {
							var values = entry.values || {};
							var results = entry.results || {};
			
							Object.keys(values).forEach(key => {
								allValueKeys.add(key);
							});
			
							Object.keys(results).forEach(key => {
								allResultKeys.add(key);
							});
						});
			
						var sortedValueKeys = Array.from(allValueKeys).sort();
						var sortedResultKeys = Array.from(allResultKeys).sort();
			
						if (sortedValueKeys.includes("trial_index")) {
							sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
							sortedValueKeys.unshift("trial_index");
						}
			
						var allColumns = [...sortedValueKeys, ...sortedResultKeys];
			
						allColumns.forEach(col => {
							var th = document.createElement("th");
							th.textContent = col;
							th.style.border = "1px solid black";
							th.style.padding = "4px";
							headerRow.appendChild(th);
						});
			
						thead.appendChild(headerRow);
						table.appendChild(thead);
			
						var tbody = document.createElement("tbody");
			
						sectionData.forEach(entry => {
							var tr = document.createElement("tr");
			
							allColumns.forEach(col => {
								var td = document.createElement("td");
								td.style.border = "1px solid black";
								td.style.padding = "4px";
			
								var value = null;
			
								if (col in entry.values) {
									value = entry.values[col];
								} else if (col in entry.results) {
									value = entry.results[col];
								}
			
								if (Array.isArray(value)) {
									td.textContent = value.join(", ");
								} else {
									td.textContent = value !== null && value !== undefined ? value : "";
								}
			
								tr.appendChild(td);
							});
			
							tbody.appendChild(tr);
						});
			
						table.appendChild(tbody);
						container.appendChild(table);
					}
			
					return container;
				} catch (err) {
					console.error("Unexpected error:", err);
					var errorDiv = document.createElement("div");
					errorDiv.textContent = "Error generating tables.";
					return errorDiv;
				}
			}
			
			function get_pareto_table_data_from_idx () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				var x_keys = Object.keys(pareto_idxs);
			
				var tables = {};
			
				for (var i = 0; i < x_keys.length; i++) {
					var x_key = x_keys[i];
					var y_keys = Object.keys(pareto_idxs[x_key]);
			
					for (var j = 0; j < y_keys.length; j++) {
						var y_key = y_keys[j];
			
						var indices = pareto_idxs[x_key][y_key];
			
						for (var k = 0; k < indices.length; k++) {
							var idx = indices[k];
							var row = get_row_by_index(idx);
			
							if(row === null) {
								error(`Error getting the row for index ${idx}`);
								return;
							}
			
							var row_dict = {
								"results": {},
								"values": {},
							};
			
							for (var l = 0; l < tab_results_headers_json.length; l++) {
								var header = tab_results_headers_json[l];
			
								if (!special_col_names.includes(header) || header == "trial_index") {
									var val = row[l];
			
									if (result_names.includes(header)) {
										if (!Object.keys(row_dict["results"]).includes(header)) {
											row_dict["results"][header] = [];
										}
			
										row_dict["results"][header].push(val);
									} else {
										if (!Object.keys(row_dict["values"]).includes(header)) {
											row_dict["values"][header] = [];
										}
										row_dict["values"][header].push(val);
									}
								}
								
							}
			
							var table_key = `Pareto front for ${x_key}/${y_key}`;
			
							if(!Object.keys(tables).includes(table_key)) {
								tables[table_key] = [];
							}
			
							tables[table_key].push(row_dict);
						}
			
					}
				}
			
				return tables;
			}
			
			function getMinMaxByResultName(resultName) {
				try {
					if (typeof resultName !== "string") {
						error("Parameter resultName must be a string");
						return;
					}
			
					if (!Array.isArray(result_names)) {
						error("Global variable result_names is not an array or undefined");
						return;
					}
					if (!Array.isArray(result_min_max)) {
						error("Global variable result_min_max is not an array or undefined");
						return;
					}
			
					if (result_names.length !== result_min_max.length) {
						error("Global arrays result_names and result_min_max must have the same length");
						return;
					}
			
					var index = result_names.indexOf(resultName);
					if (index === -1) {
						error("Result name '" + resultName + "' not found in result_names");
						return;
					}
			
					var minMaxValue = result_min_max[index];
			
					if (minMaxValue !== "min" && minMaxValue !== "max") {
						error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
						return;
					}
			
					return minMaxValue;
			
				} catch (e) {
					error("Unexpected error: " + e.message);
				}
			}
			

			$(document).ready(function() {
				colorize_table_entries();;
				plotWorkerUsage();;
				plotCPUAndRAMUsage();;
				createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
				plotScatter2d();;
				plotScatter3d();
				plotJobStatusDistribution();;
				plotBoxplot();;
				plotViolin();;
				plotHistogram();;
				plotHeatmap();;
				plotResultPairs();;
				plotResultEvolution();;
				plotExitCodesPieChart();

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;Overview</h1>
			<h2>Experiment overview:         </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value </th></tr></thead><tbody><tr><td> Max. nr. evaluations</td><td>854   </td></tr><tr><td> Number random steps</td><td>20    </td></tr><tr><td> Nr. of workers (parameter)</td><td>20    </td></tr><tr><td> Main process memory (GB)</td><td>8     </td></tr><tr><td> Worker memory (GB)</td><td>1     </td></tr><tr><td> Nr. imported jobs</td><td>354   </td></tr></tbody></table><h2>Experiment parameters:                                                    </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Values</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> feature_id</td><td>FixedParameter</td><td></td><td></td><td>13</td><td></td><td></td></tr><tr><td> batch_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> divergence</td><td>choice</td><td></td><td></td><td>str\(\&#039;H\&#039;\), str\(\&#039;KL\&#039;\)</td><td></td><td></td></tr><tr><td> detect_batch</td><td>choice</td><td></td><td></td><td>1, 2, 3</td><td></td><td></td></tr><tr><td> statistic</td><td>choice</td><td></td><td></td><td>str\(\&#039;stdev\&#039;\), str\(\&#039;tstat\&#039;\)</td><td></td><td></td></tr><tr><td> significance</td><td>float</td><td>0.001</td><td>0.999</td><td></td><td>float</td><td>No         </td></tr><tr><td> subsets</td><td>int</td><td>1</td><td>100</td><td></td><td>int</td><td>No         </td></tr></tbody></table><h2>Number of evaluations</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>279</td>
			<td>459</td>
			<td>1</td>
			<td>739</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types</h2>
			<table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>ACCURACY</td>
			<td>max</td>
			</tr>
			<tr>
			<td>RUNTIME</td>
			<td>min</td>
			</tr>
			</table>
			<br>
			<h2>Git-Version</h2>
			<tt>Commit: 2223ae6553abdd3e288f4b391080b763a7a48477
			</tt>
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,batch_size,divergence,detect_batch,statistic,significance,subsets,feature_id
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,563,2895,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.488147526979446411132812500000,50,13
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,3231,1410,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.660433536550030120260146304645,53,13
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,4187,3864,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.938091110574081565864901222085,13,13
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,2187,504,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.147965505093336113784374674651,90,13
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,1574,4571,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.288414008015766720749439855354,21,13
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,7.000000000000000000000000000000,4556,1056,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.610787931777536874378142783826,81,13
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,3009,3670,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.769667784038931102053027188958,34,13
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,698,2030,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.067255269346758725368395914757,69,13
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,1199,4335,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.192932177908718582859393109175,16,13
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,2596,38,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.893395713651552791922938467906,87,13
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,4841,2736,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.740458679465576974365603746264,28,13
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,1532,1564,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.408338422153145086390679807664,74,13
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,2208,3199,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.018416823377832770847195575925,43,13
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,3920,2496,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.818288282807916433903017150442,59,13
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,3664,4730,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.534634562015533498779973342607,6,13
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,9.000000000000000000000000000000,44,902,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.364298005418851988945760922434,97,13
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,199,4997,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.859001829707995101514939051413,57,13
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,3508,700,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.039072742111980918178204547075,46,13
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,3763,3403,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.314875262830406454916953862266,94,13
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,2366,2231,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.520737683324143274532502800866,9,13
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,7.000000000000000000000000000000,1376,2539,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.910716633494943361704088147235,77,13
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,4996,1836,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.236980708828195940629512961095,25,13
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,2754,4065,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.397898353653028613585718176182,65,13
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,1042,237,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.687579111814498933341610609205,38,13
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,853,3557,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.569573221942409890772296421346,85,13
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,2853,2072,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.266248168613761659884175969637,18,13
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,4399,4531,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.115232692450284959773121329363,72,13
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,1731,1171,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.783120724784210353597302400885,30,13
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,4.000000000000000000000000000000,2031,3911,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.642607761956751399878839947633,62,13
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,5.000000000000000000000000000000,4342,396,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.442592761630192399469052588756,41,13
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,2069,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38,13
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2192,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,4655,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4094,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57,13
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3774,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,13
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1789,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3825,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,13
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3576,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3750,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,13
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,371,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3118,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,71,13
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
46,46_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,2719,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61,13
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,75,13
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3509,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,13
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35,13
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,2690,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3647,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,51,13
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3369,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32,13
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,4377,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68,13
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,38,13
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,2851,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,584,1260,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1727,1271,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,308,1249,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,4266,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,2952,1281,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1,3811,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,2078,1277,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,5000,4255,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,133,1251,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,5000,1320,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,1244,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2356,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1225,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4268,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,2354,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,4835,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,1355,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1286,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2921,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3807,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,4837,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,4840,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,2314,1281,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2905,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,4841,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,887,1267,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,4867,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,3264,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,3800,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,1,3798,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,14,13
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14,13
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,13
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,13
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,13,13
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,4371,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,13
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,298,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14,13
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,546,4199,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,14,13
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14,13
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,13
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,13,13
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,1828,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,13
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,13
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14,13
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,13
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,13
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,359,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14,13
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61,13
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,13
109,109_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22,13
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,598,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,13
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,13,13
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,113,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23,13
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,13
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,13
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13,13
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4301,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21,13
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15,13
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15,13
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,59,13
120,120_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41,13
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,347,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
124,124_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48,13
125,125_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,52,13
126,126_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44,13
127,127_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44,13
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
129,129_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48,13
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2653,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,10,13
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
132,132_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31,13
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,2914.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2773,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,9,13
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,1364,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27,13
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
142,142_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55,13
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49,13
145,145_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,13
146,146_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42,13
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2255,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,69,13
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,64,13
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
151,151_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
152,46_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
153,153_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,13
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1414,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,43,13
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
158,158_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,34,13
164,164_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
165,165_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
166,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24,13
168,168_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,1637,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47,13
173,173_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
174,174_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
175,175_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
176,176_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,79,13
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,2582,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,3706,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
180,180_0,FAILED,BoTorch,GenerationStep_1,,,3568,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,3186,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,61,13
182,182_0,FAILED,BoTorch,GenerationStep_1,,,2063,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.190640678001047447764904063661,54,13
183,183_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
184,184_0,FAILED,BoTorch,GenerationStep_1,,,1511,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,80,13
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1805,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,2304,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
187,187_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,13
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,5000,3390,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.771189260769487683333522909379,100,13
189,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,2543,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,87,13
192,192_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
193,193_0,FAILED,BoTorch,GenerationStep_1,,,3893,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,69,13
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,2760,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.556264604439786092271447159874,1,13
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,3264,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,2692,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.889867325486215721142002621491,1,13
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
198,198_0,FAILED,BoTorch,GenerationStep_1,,,1056,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.796712641605781923814788569871,1,13
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,3649,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,4684,572,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.544139274186864474458502627385,52,13
202,202_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,40,13
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,738,4002,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.590468702773089604285416953644,1,13
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,2888,240,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55,13
205,205_0,FAILED,BoTorch,GenerationStep_1,,,4116,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,2252,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.982895479298585228455920059787,31,13
207,207_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,57,13
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,87,13
209,209_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,70,13
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,529,3456,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,13
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,13
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,741.000000000000000000000000000000,1331,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,13
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,604,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,13
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,13
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,799,1757,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,13
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4779,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,71,13
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4908,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,13
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3254,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,13
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,4143,901,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,13
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,346,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,13
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,740,1690,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,5,13
222,222_0,FAILED,BoTorch,GenerationStep_1,,,3153,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,5,13
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4405,4903,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,5,13
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,778.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,71,13
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,4999,1470,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,71,13
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,22.000000000000000000000000000000,4782,47,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,13
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,131,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,4,13
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43,13
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,741.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,13
230,230_0,FAILED,BoTorch,GenerationStep_1,,,1611,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12,13
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,5,13
232,232_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43,13
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,4926,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,13
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,13,13
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,245,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,13
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,3079,4407,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,4,13
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,651,3856,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,13
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,4675,602,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,71,13
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,973,4675,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,71,13
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1411,4340,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.860805668048945427095475224633,81,13
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1404,4682,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.890825877375047481265823989816,79,13
242,242_0,FAILED,BoTorch,GenerationStep_1,,,4714,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,187,1652,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.192095343532175888423552123641,100,13
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1367,4418,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.802441446432225924390024829336,81,13
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,78.000000000000000000000000000000,4537,19,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,444,869,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4723,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,280,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,12.000000000000000000000000000000,4786,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1444,3327,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.793205113235569858609608218103,88,13
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,839,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
252,252_0,FAILED,BoTorch,GenerationStep_1,,,901,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
253,253_0,FAILED,BoTorch,GenerationStep_1,,,431,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,91,13
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,245,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.043757712089030301183534277243,100,13
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,504,584,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,4718,4636,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4625,333,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,440,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,4205,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
260,260_0,FAILED,BoTorch,GenerationStep_1,,,1052,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
261,261_0,FAILED,BoTorch,GenerationStep_1,,,1197,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,892,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,4735,366,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4728,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
265,265_0,FAILED,BoTorch,GenerationStep_1,,,3639,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,4781,424,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1443,4933,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89,13
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1035,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1325,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,82,13
270,270_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
272,46_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
275,275_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
276,165_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
278,278_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
279,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
280,280_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
281,281_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
282,183_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
283,164_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
285,285_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.833813030958017065152887425938,1,13
286,286_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
290,290_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
291,291_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
293,293_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
294,153_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
296,296_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
300,270_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
301,281_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
302,286_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
303,303_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
304,304_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
305,158_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
306,306_0,FAILED,BoTorch,GenerationStep_1,,,1159,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.296796851513250303788993278431,1,13
307,153_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
308,308_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
309,183_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
310,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
311,278_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
312,280_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
314,173_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
317,174_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
319,293_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
320,165_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
324,176_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
325,46_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
327,327_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
329,151_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
330,275_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
331,278_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
332,46_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
333,158_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
334,153_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
335,286_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
336,173_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
337,290_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
338,174_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
339,183_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
340,168_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
341,270_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
342,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
343,281_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
345,165_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
346,164_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
347,291_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
348,293_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
351,351_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.795040077110768406143392894592,1,13
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,11.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
355,151_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
356,280_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,3973,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.120316654913571602358857148829,100,13
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1010,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.503499579693185483897366339079,65,13
360,153_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
361,293_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
362,168_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
363,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
365,365_0,FAILED,BoTorch,GenerationStep_1,,,3743,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
366,308_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
367,280_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
368,46_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
369,175_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
370,290_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
371,371_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.065721973844917541685006767693,100,13
372,183_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
373,303_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
374,275_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
375,281_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
376,291_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
378,158_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
380,380_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
381,381_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.752651962193905510467573094502,1,13
382,164_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
383,286_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
384,384_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
385,174_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
386,386_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,69,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,387,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61,13
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,390,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61,13
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,209,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,61,13
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,5000,214,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,61,13
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,365,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,60,13
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1429,399,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,61,13
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,617,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,4,2842,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4281,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,167,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,59,13
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4269,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,414,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61,13
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,190,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,60,13
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,2766,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3646,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3909,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,13
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,429,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62,13
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,4854,241,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61,13
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3114,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3254,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3704,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,3352,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,10.000000000000000000000000000000,1,3001,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2551,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,13
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,4121,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,13
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,2892,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,13
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4150,2549,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33,13
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4204,4586,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,4250,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35,13
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1,3447,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,13
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,395,1211,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55,13
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1497,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56,13
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4810,4995,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55,13
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,1,797,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,52,13
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,64,1797,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,58,13
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,964,4970,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37,13
426,426_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,67,13
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,13
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,13
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,4529,3851,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54,13
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,3385,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53,13
431,431_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,13
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26,13
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,5000,2619,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,59,13
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4951,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,25,13
435,158_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1102,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,52,13
437,437_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,7,13
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,2615,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,65,13
440,440_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,67,13
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,166.000000000000000000000000000000,277,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,48,13
442,442_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73,13
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,3268,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22,13
444,444_0,FAILED,BoTorch,GenerationStep_1,,,382,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42,13
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,354,2714,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,13
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62,13
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,38,13
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1074,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33,13
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,2561,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72,13
450,275_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,53,13
452,452_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,78,13
453,453_0,FAILED,BoTorch,GenerationStep_1,,,16,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22,13
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62,13
455,455_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,13
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,3523,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,55,13
457,457_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,13
458,458_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58,13
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31,13
460,460_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,77,13
461,461_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,75,13
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,13
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,59,13
464,464_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23,13
465,465_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,63,13
466,466_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49,13
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73,13
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,173.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48,13
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54,13
470,470_0,FAILED,BoTorch,GenerationStep_1,,,62,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,87,13
471,471_0,FAILED,BoTorch,GenerationStep_1,,,123,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,53,13
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62,13
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19,13
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,5.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,61,13
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4771,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,13
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,1599,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62,13
479,479_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.042475201546717314404766341340,45,13
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,24.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25,13
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,490.000000000000000000000000000000,428,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64,13
482,482_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1511,3322,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,56,13
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4532,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,9.000000000000000000000000000000,2752,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,183,4766,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25,13
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1681,3309,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,57,13
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86,13
488,488_0,FAILED,BoTorch,GenerationStep_1,,,4182,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,13
489,489_0,FAILED,BoTorch,GenerationStep_1,,,2763,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,3.000000000000000000000000000000,429,4929,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64,13
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,1015,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,71,13
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4603,3014,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,86,13
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,4573,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,65,13
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4619,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,13,13
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4490,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,12,13
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,545,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,13
497,497_0,FAILED,BoTorch,GenerationStep_1,,,1094,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4007,4776,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,87,13
499,499_0,FAILED,BoTorch,GenerationStep_1,,,4141,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4438,4006,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68,13
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,2811.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13,13
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,6.000000000000000000000000000000,4554,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27,13
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,8.000000000000000000000000000000,252,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,89,13
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,2855.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,7.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88,13
507,507_0,FAILED,BoTorch,GenerationStep_1,,,4520,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,13
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,4.000000000000000000000000000000,4366,1349,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,89,13
509,509_0,FAILED,BoTorch,GenerationStep_1,,,1251,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
510,510_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,4.000000000000000000000000000000,2385,3858,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.045609117016196250304904680206,87,13
511,511_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,3565,207,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.761687761748209624101946246810,23,13
512,512_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,7.000000000000000000000000000000,4284,3745,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.636493808001279859354326617904,68,13
513,513_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,4.000000000000000000000000000000,464,2194,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.419383767971768961491108029804,29,13
514,514_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,696,2549,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.173596925999969231568798022636,57,13
515,515_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,4669,1515,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.890162604017183167748328287416,47,13
516,516_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,2557,4859,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.516439456295222032444769411086,88,13
517,517_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,1530,1081,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.298842375544831173606041829771,3,13
518,518_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,1611,3167,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.494137041121721243275288770747,52,13
519,519_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,3104,2147,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.711245874712243653092968997953,38,13
520,520_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,12.000000000000000000000000000000,4751,4236,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.835456759139895477339621265855,96,13
521,521_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,1244,453,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.119377443337813027302019008857,7,13
522,522_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,235,4475,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.349093095909804085330563339085,79,13
523,523_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,3895,839,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.566689498154446469335709934967,18,13
524,524_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,3335,3123,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.941378802742809051018468835537,73,13
525,525_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,6.000000000000000000000000000000,1996,1566,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.224811910850927221261486010917,37,13
526,526_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,4.000000000000000000000000000000,2059,2929,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.613305149067193244860618506209,22,13
527,527_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,10.000000000000000000000000000000,3242,1759,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.333364201506599788782381210694,83,13
528,528_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,5.000000000000000000000000000000,3909,4673,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.209109652910381554891117161787,28,13
529,529_0,COMPLETED,Sobol,SOBOL,0.050000000000000002775557561563,8.000000000000000000000000000000,92,641,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.988081999486312256841813450592,64,13
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,5000,822,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63,13
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,2855,940,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,63,13
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,2497,853,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,63,13
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,17.000000000000000000000000000000,2175,123,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73,13
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,17.000000000000000000000000000000,2781,125,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,73,13
535,535_0,FAILED,BoTorch,BOTORCH_MODULAR,,,414,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,79,13
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1230,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31,13
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,3774,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
538,538_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41,13
539,539_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,78,13
540,540_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38,13
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,79,13
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,4816,846,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,64,13
543,543_0,FAILED,BoTorch,BOTORCH_MODULAR,,,46,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,35,13
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,16.000000000000000000000000000000,4723,233,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78,13
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,18.000000000000000000000000000000,3914,176,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,79,13
546,546_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4008,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41,13
547,547_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3614,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,84,13
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,4571,1097,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77,13
549,549_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35,13
550,550_0,FAILED,BoTorch,BOTORCH_MODULAR,,,949,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,13
551,551_0,FAILED,BoTorch,BOTORCH_MODULAR,,,228,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44,13
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,493,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,34,13
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,4835,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,85,13
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,4103,301,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11,13
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,10.000000000000000000000000000000,2389,71,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,50,13
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,24.000000000000000000000000000000,944,435,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,25.000000000000000000000000000000,5000,296,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,36.000000000000000000000000000000,3442,46,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,13
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,726,117,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,68,13
560,560_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1246,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,13
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1720,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,79,13
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,2266,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,12,13
563,563_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3963,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41,13
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,4917,12,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31,13
565,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18,13
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,42,13
567,567_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4276,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37,13
568,568_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,86,13
569,569_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2918,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,38,13
570,570_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,13
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,919,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43,13
572,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38,13
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,13
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,13
575,575_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39,13
576,576_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4985,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37,13
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,4123,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,94,13
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,97,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,13
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,285,4771,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37,13
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,4355,494,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,13
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,575,905,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,127,684,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,13
583,583_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,87,13
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,108,3646,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44,13
585,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,13
586,586_0,FAILED,BoTorch,BOTORCH_MODULAR,,,119,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38,13
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,12.000000000000000000000000000000,1,2708,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,90,13
588,588_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4504,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37,13
589,589_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43,13
590,590_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1761,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,36,13
591,591_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1425,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,42,13
592,592_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39,13
593,593_0,FAILED,BoTorch,BOTORCH_MODULAR,,,86,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37,13
594,594_0,FAILED,BoTorch,BOTORCH_MODULAR,,,258,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,13
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,9.000000000000000000000000000000,5000,1234,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,13
596,596_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,36,13
597,592_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39,13
598,598_0,FAILED,BoTorch,BOTORCH_MODULAR,,,455,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,13
599,599_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19,13
600,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39,13
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,1596,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,44,13
602,602_0,FAILED,BoTorch,BOTORCH_MODULAR,,,348,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40,13
603,603_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3956,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37,13
604,604_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,87,13
605,605_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38,13
606,606_0,FAILED,BoTorch,BOTORCH_MODULAR,,,329,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39,13
607,607_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4088,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,86,13
608,608_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,13
609,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39,13
610,610_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3779,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,42,13
611,611_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4878,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37,13
612,612_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1914,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,85,13
613,613_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4079,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39,13
614,614_0,FAILED,BoTorch,BOTORCH_MODULAR,,,564,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,13
615,615_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,42,13
616,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,88,13
617,617_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1460,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,13
618,618_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,87,13
619,619_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41,13
620,620_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3410,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,13
621,621_0,FAILED,BoTorch,BOTORCH_MODULAR,,,398,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44,13
622,622_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2930,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38,13
623,623_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37,13
624,624_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1847,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,87,13
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42,13
626,626_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,85,13
627,627_0,FAILED,BoTorch,BOTORCH_MODULAR,,,88,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,40,13
628,628_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,38,13
629,629_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,13
630,630_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,34,13
631,631_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1673,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40,13
632,632_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4845,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,13
633,633_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,41,13
634,618_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,87,13
635,635_0,FAILED,BoTorch,BOTORCH_MODULAR,,,824,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,13
636,636_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4471,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,88,13
637,637_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,42,13
638,638_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1245,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41,13
639,639_0,FAILED,BoTorch,BOTORCH_MODULAR,,,293,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40,13
640,640_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86,13
641,641_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2828,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,38,13
642,642_0,FAILED,BoTorch,BOTORCH_MODULAR,,,843,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,13
643,643_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3866,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38,13
644,644_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,38,13
645,645_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4685,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43,13
646,646_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4494,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,43,13
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,21.000000000000000000000000000000,694,340,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,90,13
648,648_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1520,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41,13
649,649_0,FAILED,BoTorch,BOTORCH_MODULAR,,,93,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,13
650,650_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41,13
651,651_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2983,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41,13
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,1838,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,10,13
653,653_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1790,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,40,13
654,654_0,FAILED,BoTorch,BOTORCH_MODULAR,,,390,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42,13
655,655_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42,13
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,43.000000000000000000000000000000,2431,5,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,38,13
657,657_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3094,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,34,13
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,126,3632,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22,13
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,101,3721,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54,13
660,660_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19,13
661,158_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
662,662_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86,13
663,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18,13
664,664_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,1,639,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,13
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,4025,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,45,13
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,3356,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37,13
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,119,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,6,13
668,151_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,4370,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49,13
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,1,810,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,53,13
671,452_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,78,13
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1029,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,64,13
673,673_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,13,13
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,18,1196,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,72,13
675,675_0,FAILED,BoTorch,BOTORCH_MODULAR,,,700,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,13
676,676_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4702,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,83,13
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,1715,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,51,13
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,619,2710,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,73,13
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,12.000000000000000000000000000000,4619,4513,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
680,680_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,82,13
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,1272,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44,13
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,3827,3493,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,83,13
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,4051,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,13
684,662_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86,13
685,685_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2664,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,81,13
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,4673,1053,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,59,13
687,687_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,83,13
688,158_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,4.000000000000000000000000000000,1,2950,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,13
690,690_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,82,13
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,8.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74,13
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,60,13
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1360,2822,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,22,13
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,4085,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,53,13
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,10.000000000000000000000000000000,5000,96,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,67,13
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,1753,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,13
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1266,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31,13
698,698_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,1,3455,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,79,13
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,3106,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,14,13
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,9.000000000000000000000000000000,5000,568,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,13
701,701_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,10.000000000000000000000000000000,2993,829,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,13
702,702_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3397,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,13
703,703_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,7,13
704,704_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4639,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,87,13
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,4.000000000000000000000000000000,5000,1427,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,71,13
706,706_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,3650,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,90,13
707,707_0,FAILED,BoTorch,BOTORCH_MODULAR,,,317,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,84,13
708,708_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,13
709,709_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,1742,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,93,13
710,710_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1190,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,75,13
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,1559,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22,13
712,712_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,4037,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62,13
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,13.000000000000000000000000000000,5000,2067,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,13
714,714_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,11.000000000000000000000000000000,5000,234,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74,13
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,12.000000000000000000000000000000,4738,1500,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,91,13
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,797,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,13
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,4597,141,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29,13
718,690_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,82,13
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,4106,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,13
720,720_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3323,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,65,13
721,721_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,2840,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,80,13
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,2100,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,13
723,723_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1243,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,13
724,724_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4745,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,84,13
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,4370,1364,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,11,13
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,3990,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78,13
727,727_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3047,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,81,13
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,78,980,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,58,13
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,1,1838,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,60,13
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,18.000000000000000000000000000000,4514,563,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88,13
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,6.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,79,13
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41,13
733,733_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4839,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,57,13
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,1,829,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46,13
735,735_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,81,13
736,736_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,5.000000000000000000000000000000,5000,1021,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,36,13
737,737_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,7.000000000000000000000000000000,1,1852,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,59,13
738,738_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,69,13
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4550508/4550508_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4551654/4551654_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552071/4552071_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552304/4552304_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552507/4552507_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553156/4553156_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4554329/4554329_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4554663/4554663_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4555432/4555432_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4555717/4555717_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556002/4556002_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556342/4556342_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4558675/4558675_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4559877/4559877_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560800/4560800_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561151/4561151_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561412/4561412_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561769/4561769_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561984/4561984_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562293/4562293_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562594/4562594_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562843/4562843_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563064/4563064_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563409/4563409_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563715/4563715_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563964/4563964_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564449/4564449_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565562/4565562_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566327/4566327_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566632/4566632_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567234/4567234_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567564/4567564_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567828/4567828_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568150/4568150_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568438/4568438_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568788/4568788_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569045/4569045_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569639/4569639_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569976/4569976_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570372/4570372_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570666/4570666_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570936/4570936_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571478/4571478_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571887/4571887_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572110/4572110_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572429/4572429_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572751/4572751_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573137/4573137_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573379/4573379_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573738/4573738_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574006/4574006_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574504/4574504_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574889/4574889_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575202/4575202_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575457/4575457_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575793/4575793_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576086/4576086_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576391/4576391_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576735/4576735_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577016/4577016_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577289/4577289_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577618/4577618_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577914/4577914_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578228/4578228_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578589/4578589_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578850/4578850_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579100/4579100_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579288/4579288_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579553/4579553_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579838/4579838_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580131/4580131_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580429/4580429_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580751/4580751_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580948/4580948_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581265/4581265_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581563/4581563_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581877/4581877_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582105/4582105_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582401/4582401_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582737/4582737_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582999/4582999_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583217/4583217_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583472/4583472_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583712/4583712_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583968/4583968_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584252/4584252_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584621/4584621_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585131/4585131_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585333/4585333_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585529/4585529_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585680/4585680_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586050/4586050_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586268/4586268_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586479/4586479_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586973/4586973_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587753/4587753_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588036/4588036_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588252/4588252_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588493/4588493_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4589506/4589506_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4590453/4590453_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4590894/4590894_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4591312/4591312_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4591536/4591536_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4592370/4592370_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4593121/4593121_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4593363/4593363_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4593869/4593869_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4594073/4594073_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4594559/4594559_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597212/4597212_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597406/4597406_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597629/4597629_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4598224/4598224_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4598437/4598437_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4598973/4598973_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4600712/4600712_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601049/4601049_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601626/4601626_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601859/4601859_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4602585/4602585_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4603983/4603983_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4604460/4604460_0_log.err not found

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview:                                                                                  </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                                   </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                                    </td></tr><tr><td> config_toml</td><td>None                                                                                                                                    </td></tr><tr><td> config_json</td><td>None                                                                                                                                    </td></tr><tr><td> num_random_steps</td><td>20                                                                                                                                      </td></tr><tr><td> max_eval</td><td>None                                                                                                                                    </td></tr><tr><td> run_program</td><td>None                                                                                                                                    </td></tr><tr><td> experiment_name</td><td>None                                                                                                                                    </td></tr><tr><td> mem_gb</td><td>1                                                                                                                                       </td></tr><tr><td> parameter</td><td>None                                                                                                                                    </td></tr><tr><td> continue_previous_job</td><td>/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_OutdoorObjects_ft_13_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0 </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                    </td></tr><tr><td> run_dir</td><td>runs                                                                                                                                    </td></tr><tr><td> seed</td><td>None                                                                                                                                    </td></tr><tr><td> decimalrounding</td><td>4                                                                                                                                       </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                                   </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                                   </td></tr><tr><td> model</td><td>None                                                                                                                                    </td></tr><tr><td> gridsearch</td><td>False                                                                                                                                   </td></tr><tr><td> occ</td><td>False                                                                                                                                   </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                                   </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                                   </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                                   </td></tr><tr><td> follow</td><td>False                                                                                                                                   </td></tr><tr><td> send_anonymized_usage_stats</td><td>False                                                                                                                                   </td></tr><tr><td> ui_url</td><td>None                                                                                                                                    </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                          </td></tr><tr><td> exclude</td><td>None                                                                                                                                    </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                       </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                                       </td></tr><tr><td> max_nr_of_zero_results</td><td>10                                                                                                                                      </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                                   </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                                    </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                                   </td></tr><tr><td> live_share</td><td>False                                                                                                                                   </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                                   </td></tr><tr><td> workdir</td><td>False                                                                                                                                   </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                                  </td></tr><tr><td> result_names</td><td>[&#039;RESULT=min&#039;]                                                                                                                          </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                       </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                                    </td></tr><tr><td> generate_all_jobs_at_once</td><td>False                                                                                                                                   </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                                    </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                                      </td></tr><tr><td> n_estimators_randomforest</td><td>100                                                                                                                                     </td></tr><tr><td> external_generator</td><td>None                                                                                                                                    </td></tr><tr><td> username</td><td>None                                                                                                                                    </td></tr><tr><td> max_failed_jobs</td><td>None                                                                                                                                    </td></tr><tr><td> num_parallel_jobs</td><td>20                                                                                                                                      </td></tr><tr><td> worker_timeout</td><td>30                                                                                                                                      </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                                   </td></tr><tr><td> time</td><td></td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None                                                                                                                                    </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                                   </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                                       </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                                       </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                                       </td></tr><tr><td> account</td><td>None                                                                                                                                    </td></tr><tr><td> gpus</td><td>0                                                                                                                                       </td></tr><tr><td> run_mode</td><td>local                                                                                                                                   </td></tr><tr><td> verbose</td><td>False                                                                                                                                   </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                                   </td></tr><tr><td> debug</td><td>False                                                                                                                                   </td></tr><tr><td> no_sleep</td><td>False                                                                                                                                   </td></tr><tr><td> tests</td><td>False                                                                                                                                   </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                                   </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                                   </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                                   </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                                   </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                                   </td></tr></tbody></table>
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
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</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;CPU/RAM-Usage (main)</h1>
			<div class='invert_in_dark_mode' id='mainWorkerCPURAM'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1744998354,644.3671875,8.3
1744998354,644.3671875,8.6
1744998354,644.3671875,8.1
1744998354,644.3671875,7.7
1744998354,644.3671875,5.7
1744998354,644.3671875,9.8
1744998354,644.3671875,8.9
1744998826,689.0078125,18.6
1744998826,689.0078125,42.1
1744998826,689.0078125,33.7
1744998826,689.0078125,25.8
1745005970,832.3359375,13.2
1745005970,832.3359375,7.0
1745005970,832.3359375,6.9
1745005970,832.3359375,3.2
1745013384,919.26953125,8.7
1745013384,919.26953125,8.3
1745013384,919.26953125,8.2
1745013384,919.26953125,7.5
1745020315,892.40625,8.7
1745020315,892.40625,7.3
1745020315,892.40625,7.2
1745020315,892.40625,9.8
1745028420,886.23046875,8.8
1745028420,886.23046875,9.7
1745028420,886.23046875,9.2
1745028420,886.23046875,5.4
1745037283,886.23046875,8.8
1745037283,886.23046875,7.0
1745037283,886.23046875,6.9
1745037283,886.23046875,8.3
1745045980,927.5234375,8.5
1745045980,927.5234375,7.6
1745045980,927.5234375,7.6
1745045980,927.5234375,9.3
1745053961,911.36328125,8.1
1745053961,911.36328125,7.1
1745053961,911.36328125,6.9
1745053961,911.36328125,9.1
1745062420,942.4765625,8.0
1745062420,942.4765625,8.1
1745062420,942.4765625,7.9
1745062420,942.4765625,8.7
1745070910,948.234375,8.1
1745070910,948.234375,8.1
1745070910,948.234375,7.6
1745070910,948.234375,8.3
1745080084,1003.89453125,8.1
1745080084,1003.89453125,8.0
1745080084,1003.89453125,7.3
1745080084,1003.89453125,9.1
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
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			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
			<h1>&nbsp;Exit-Codes</h1>
			<div class="invert_in_dark_mode" id="plotExitCodesPieChart"></div>
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