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_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2892,4779,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.057177041456103326610982406919,21,6
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,512,2230,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.935964338023215547401889580215,98,6
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,1774,2808,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.583302043125033420345459944656,40,6
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4160,181,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.456665795285254694224619242959,66,6
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,4912,3319,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.230650898957625027918538762606,27,6
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2291,926,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.856051108589395925996257119550,54,6
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1050,4113,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.632033514762297299327542532410,9,6
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,7.000000000000000000000000000000,3663,1642,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.251994951715692860894080240541,85,6
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3172,2930,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.414033659057691683091917411730,33,6
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,9.000000000000000000000000000000,867,381,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.532385972587391731458694721368,63,6
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,8.000000000000000000000000000000,2122,4661,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.947408031778410042456073369976,2,6
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,4427,2034,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.076904684392735359055315313981,81,6
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4008,3921,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.365300291322171677421692947973,14,6
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,9.000000000000000000000000000000,1310,1528,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.737054905187338627037263449893,94,6
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,77,3513,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.773932278178632304665995889081,46,6
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,8.000000000000000000000000000000,2771,1042,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.156816002856940028831189692937,75,6
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2560,3709,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.717177554139867390325946416851,96,6
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,259,1160,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.336404226994141963835716069298,23,6
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1520,3882,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.174537492046132697298688185583,65,6
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3827,1255,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.801152156328782449890013594995,42,6
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4619,4387,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.512502901643514641172316714801,53,6
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,1920,1994,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.385139503840357055874932257211,29,6
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,679,3047,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.094620453685522076803238178400,84,6
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3370,576,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.974629819039255385071385262563,11,6
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3543,4307,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.812595870532095476690415125631,58,6
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1160,1759,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.194265140559524290830850645762,37,6
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2414,3280,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.293772111214697373426929516427,76,6
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4798,653,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.666261489178985311099268074031,6,6
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,9.000000000000000000000000000000,4262,2536,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.892510997923091076167168012034,89,6
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,1643,143,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.020785581750795246308571861960,18,6
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21,6
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,127,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17,6
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4387,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,93,6
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4666,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,99,6
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.897137132176098028857325061836,35,6
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,6
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
38,38_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,6
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,96,6
40,40_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,892,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2535,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72,6
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
45,45_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,6
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2418,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,48,6
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4500,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40,6
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23,6
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1122,3537,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34,6
51,51_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29,6
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3202,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,408,4552,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,57,6
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,4832,295,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.672347920562577083813948775060,1,6
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3661,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,27,6
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68,6
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1113,4532,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,83,6
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2926,2771,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67,6
62,62_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41,6
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2736,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,79,6
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4190,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,38,6
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2864,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,75,6
66,66_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,6
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4719,4516,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,81,6
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73,6
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4602,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,79,6
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4272,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
71,71_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,6
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2663,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88,6
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,2414,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3789,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,68,6
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2929,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86,6
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2244,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,60,6
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,410,4747,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83,6
80,80_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41,6
81,81_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,42,6
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,82,6
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3793,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2570,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,6
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,6
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3359,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1955,3048,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,6
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1917,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75,6
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,200,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29,6
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,363,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,28,6
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30,6
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,352,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,6
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,207,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31,6
95,81_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,42,6
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31,6
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,2056,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34,6
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3620,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,6
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3756,129,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,6
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,450,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26,6
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,1051,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,6
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31,6
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44,6
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,648,361,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38,6
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3133,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,66,6
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,72,6
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61,6
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,163,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41,6
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1838,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25,6
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,729,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25,6
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2410,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,13,6
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,6
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,725,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24,6
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,96,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17,6
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2967,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,65,6
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55,6
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49,6
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3486,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,6
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1751,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3752,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1759,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,1753,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,2484,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4129,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1,3291,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1824,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1985,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,5000,2473,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2332,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,1785,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1612,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1344,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1854,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,3793,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4352,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2199,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1554,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3963,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
148,148_0,FAILED,BoTorch,GenerationStep_1,,,4873,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,3403,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4130,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2342,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3774,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4069,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4018,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,2154,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4497,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4148,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1747,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4659,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2610,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2055,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2137,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4325,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1463,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4042,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4269,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3146,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4440,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3947,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1885,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4219,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2044,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3562,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2097,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3557,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,898,4156,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,34,1987,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3782,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4392,4362,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,5000,910,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4765,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,18.000000000000000000000000000000,273,1496,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,187,890,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4724,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,910,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,19.000000000000000000000000000000,1206,1477,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,5000,2085,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,914,2092,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,2144,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,1,4185,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1805,915,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,895,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,5000,2014,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2696,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4697,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4775,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,1,2077,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1,2750,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1,2223,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,1,681,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3381,4724,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,917,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,4047,2679,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,2046,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1,869,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
206,40_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,4923,4194,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1857,2666,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4755,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,931,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60,6
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,35,2092,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39,6
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46,6
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3724,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86,6
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,1903,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,54,6
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,4155,1880,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,57,6
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3393,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,61,6
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,876,849,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72,6
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2211,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31,6
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,1128,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,59,6
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1762,4426,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,80,6
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1825,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,57,6
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,794,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,58,6
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,47,6
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3429,1807,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56,6
225,225_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,61,6
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1564,2159,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33,6
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1060,2218,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28,6
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4986,296,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21,6
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,775,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48,6
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1002,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,65,6
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3754,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86,6
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48,6
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,1997,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44,6
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,220,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23,6
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,1756,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56,6
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,2626,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,6
237,237_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68,6
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,2296,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31,6
239,239_0,FAILED,BoTorch,GenerationStep_1,,,1795,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,67,6
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,44,3669,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,6
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4543,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,6
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3720,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39,6
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3638,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,6
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4216,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,25,6
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,85,6
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1557,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,83,6
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,545,3760,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41,6
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3036,2382,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49,6
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,160,3629,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44,6
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4340,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33,6
251,251_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,70,6
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3312,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,13,6
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2870,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,6
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,245,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,6
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1808,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,6
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3743,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,57,6
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4640,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17,6
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,179,4406,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,32,6
259,259_0,FAILED,BoTorch,GenerationStep_1,,,1268,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
260,260_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,67,6
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3934,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50,6
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1402,3655,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,81,6
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4324,3714,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38,6
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1884,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57,6
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3839,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31,6
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,623,1875,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,56,6
267,267_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,6
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4268,4531,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20,6
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3822,2077,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,83,6
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4539,4516,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,6
271,271_0,FAILED,BoTorch,GenerationStep_1,,,2890,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,6
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4285,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,59,6
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1443,1356,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,747,3397,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,76,6
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4023,3500,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29,6
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3381,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77,6
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3126,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,83,6
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,482,581,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,74,6
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3457,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,78,6
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4903,4719,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,73,6
281,281_0,FAILED,BoTorch,GenerationStep_1,,,3522,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,66,6
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4309,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,77,6
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4035,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,84,6
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2040,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20,6
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4978,4651,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21,6
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4800,4465,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,74,6
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2138,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,56,6
288,288_0,FAILED,BoTorch,GenerationStep_1,,,42,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62,6
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2987,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
290,290_0,FAILED,BoTorch,GenerationStep_1,,,3040,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,80,6
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4890,3922,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,93,6
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4613,2024,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,22,6
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3905,2690,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26,6
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2379,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,80,6
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1542,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73,6
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3619,2033,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62,6
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1620,902,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,71,3351,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,79,6
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3926,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,66,6
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,1105,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,27,6
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1468,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,6
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4966,1200,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,6
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1956,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,91,6
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4578,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44,6
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,205,1768,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,10,6
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4436,4184,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,89,6
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4537,4171,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89,6
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1128,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,28,6
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1684,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13,6
310,310_0,FAILED,BoTorch,GenerationStep_1,,,284,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,59,6
311,311_0,FAILED,BoTorch,GenerationStep_1,,,3933,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58,6
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4591,4195,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,88,6
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,760,924,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,6
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,1574,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,28,6
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4894,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45,6
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,6
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,1248,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26,6
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1400,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,14,6
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2895,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4263,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45,6
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4677,1561,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,84,6
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1024,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,45,6
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,625,1555,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,10,6
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1652,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42,6
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3814,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23,6
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28,6
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4642,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41,6
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,842,4436,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,66,6
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1530,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24,6
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,982,3368,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,6
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4593,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24,6
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,249,2642,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,6
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4337,2744,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,6
334,334_0,FAILED,BoTorch,GenerationStep_1,,,551,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62,6
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,324,4399,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26,6
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2375,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49,6
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,16,6
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1516,2902,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,6
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4707,4268,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28,6
340,340_0,FAILED,BoTorch,GenerationStep_1,,,670,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,61,6
341,341_0,FAILED,BoTorch,GenerationStep_1,,,466,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56,6
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4965,4324,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,6
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1208,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,6
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3489,1616,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,6
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3001,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26,6
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,232,2776,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,33,6
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2328,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48,6
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,2676,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32,6
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4022,4123,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,6
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,6
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4944,2714,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49,6
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4389,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,28,6
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3011,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,6
354,354_0,FAILED,BoTorch,GenerationStep_1,,,1652,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63,6
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2310,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,89,6
356,356_0,FAILED,BoTorch,GenerationStep_1,,,531,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,53,6
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4242,3771,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,11,6
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2949,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50,6
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,89,6
360,360_0,FAILED,BoTorch,GenerationStep_1,,,2921,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,66,6
361,361_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62,6
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4115,3985,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72,6
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3872,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33,6
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2126,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,11,6
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,681,1431,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.450472131028231914662285362283,40,6
366,366_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58,6
367,367_0,FAILED,BoTorch,GenerationStep_1,,,4681,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72,6
368,368_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,65,6
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,77,6
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,18.000000000000000000000000000000,4316,85,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73,6
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1265,2127,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,6
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,16.000000000000000000000000000000,179,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17,6
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,488,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61,6
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4786,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19,6
375,375_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,6
376,376_0,FAILED,BoTorch,GenerationStep_1,,,1315,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62,6
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,13.000000000000000000000000000000,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,6
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,2104,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,71,6
379,379_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,6
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3670,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4585,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,42,6
382,382_0,FAILED,BoTorch,GenerationStep_1,,,673,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.007909545341314468472337928517,73,6
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32,6
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,2082,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,6
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,811,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,9,6
386,386_0,FAILED,BoTorch,GenerationStep_1,,,642,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,69,6
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,125,3392,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26,6
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,83,6
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4055,3584,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.597205403851718941155013453681,26,6
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,596,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,28,6
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4376,601,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28,6
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1229,624,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,6
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4438,627,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30,6
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,606,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,28,6
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4580,608,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,6
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,469,609,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30,6
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,395,617,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,6
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,612,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29,6
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,91,627,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25,6
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,610,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23,6
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,609,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,24,6
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,722,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,54,6
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4906,605,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,6
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,647,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30,6
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,599,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29,6
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4937,595,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33,6
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4722,725,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,53,6
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,1,604,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49,6
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4956,590,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31,6
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4743,669,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,6
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,131,4816,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,34,6
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,156,745,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,53,6
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,559,629,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,26,6
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4282,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68,6
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,587,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,6
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3205,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4542,4308,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,6
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3617,3329,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,95,6
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4585,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62,6
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4825,1353,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,63,6
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,13,3775,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,50,6
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,825,1235,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,65,6
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,1,1581,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43,6
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3212,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,94,6
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1679,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29,6
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,991,1306,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64,6
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4011,1146,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78,6
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3230,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,92,6
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1324,4066,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,54,6
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1514,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,70,6
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4424,4547,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,89,6
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4113,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,6
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4252,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,6
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2718,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,32,6
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3114,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89,6
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3392,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3243,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,6
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1749,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26,6
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2322,3231,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3310,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2991,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38,6
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1599,2987,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14,6
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4499,1649,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37,6
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,1372,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,61,6
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1552,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,6
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1104,3009,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33,6
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2458,2970,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,38,6
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4625,4061,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,81,6
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3979,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,58,6
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1838,2708,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62,6
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1055,1962,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,51,6
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4805,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32,6
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4722,3408,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.958698751913006796954164201452,50,6
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1389,4777,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83,6
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1337,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,84,6
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,821,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19,6
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,2866,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49,6
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,429,4154,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41,6
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2220,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20,6
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4718,4035,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27,6
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,1991,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,49,6
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1148,2859,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,64,6
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4640,4121,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,57,6
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4061,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2969,2803,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63,6
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,1774,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,2654,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,60,6
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2524,4776,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,92,6
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1507,3178,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,67,6
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,15,1868,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,10,6
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1243,3299,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49,6
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1479,2003,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,6
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3047,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51,6
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1210,1823,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,89,6
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4562,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,6
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,170,4708,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,84,6
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,275,1511,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,46,6
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3928,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4226,2876,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19,6
480,480_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,4355,1352,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.024445236347615719590953275997,5,6
481,481_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,1764,4932,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.609551167299970941826359194238,86,6
482,482_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,461,954,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.887737970231100903539811497467,35,6
483,483_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2875,2686,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.474412749817594903145590023996,54,6
484,484_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3448,126,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.130160403547808528612605982744,44,6
485,485_0,FAILED,Sobol,SOBOL,,,1020,3748,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.730919985404238081727612552640,63,6
486,486_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2381,2258,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.766429113445803555926261196873,14,6
487,487_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,12.000000000000000000000000000000,4949,3949,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.368637622227892258752746101891,96,6
488,488_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,4602,842,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.382418588900938605235069189803,40,6
489,489_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2172,2865,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.982626101301983023716957177385,71,6
490,490_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,684,1854,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.518039076352492022792262105213,22,6
491,491_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,3248,4519,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.120799565361812716313139048907,91,6
492,492_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2616,2038,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.277617118919268268673050670259,13,6
493,493_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,11.000000000000000000000000000000,27,4102,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.862292805658653405131985891785,81,6
494,494_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,1495,581,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.638434236848726910373841292312,30,6
495,495_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3911,3204,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.225539170490577811634125282580,61,6
496,496_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,3847,386,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.828833672130480425543908040709,83,6
497,497_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,9.000000000000000000000000000000,1257,3321,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.306111360060051074238884893930,1,6
498,498_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,264,1998,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.192747701490297906889992418655,51,6
499,499_0,RUNNING,Sobol,SOBOL,,,2681,4375,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.668454636322334372344755593076,32,6
500,500_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,11.000000000000000000000000000000,3333,1580,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.950203501487150825610683568812,67,6
501,501_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,901,4558,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.411825515078380721689654819784,48,6
502,502_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,23.000000000000000000000000000000,1953,725,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.086971681619063018198190206931,98,6
503,503_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,4518,3060,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.547146671818569352296890428988,17,6
504,504_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,4717,2454,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.700960513887926905951530898164,75,6
505,505_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2290,3832,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.163134596934542047685923193967,43,6
506,506_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,38.000000000000000000000000000000,1113,164,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.340082482872530844630887258973,94,6
507,507_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3679,3474,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.799705492844805077012892979837,25,6
508,508_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,2788,4034,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39,6
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,125,265,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43,6
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,9.000000000000000000000000000000,3970,2192,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,6
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,447,3450,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77,6
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,1,2497,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54,6
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.368808509205499068794864570009,1,6
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,2848,3268,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37,6
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,142,3629,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15,6
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4934,1754,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,35,6
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,12.000000000000000000000000000000,1,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,2889,1557,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63,6
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4521,1453,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,60,6
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,3809,2449,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.502276837733803716012914719613,100,6
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,408,452,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,63,6
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1190,4613,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,5,6
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1,3262,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,43,6
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,2323,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23,6
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,2257,2648,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44,6
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,6
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1079,3009,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,93,6
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4909,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57,6
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4938,4257,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,67,6
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4123,1616,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22,6
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,779,3188,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,74,6
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4323,2472,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,6
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,3851,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49,6
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,2864,1097,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,87,6
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1815,4141,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19,6
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4937,3845,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,98,6
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,2704,4503,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28,6
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,6
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,4716,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37,6
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,2678,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,6
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,10.000000000000000000000000000000,5000,1513,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31,6
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,4.000000000000000000000000000000,3197,4600,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,6
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,3494,823,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17,6
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,2163,4532,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,6
549,549_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2218,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,6
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,3460,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23,6
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,325,514,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23,6
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,3958,3273,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,7,6
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,4.000000000000000000000000000000,1996,3277,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,7,6
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4312,4861,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,75,6
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,238,4647,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,87,6
556,556_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1090,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,6
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,3514,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,98,6
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1522,3876,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19,6
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1,1830,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42,6
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,4782,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,97,6
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,4738,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41,6
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4921,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,72,6
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,3899,3597,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,55,6
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,635,1988,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,6,6
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,13.000000000000000000000000000000,723,2825,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,90,6
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31,6
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,3240,502,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12,6
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4440,1977,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,6
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1,3911,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,3943,3790,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,79,6
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,4761,3974,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,2119,4196,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,6
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1089,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75,6
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,29,4787,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.241042639166509059522880420445,90,6
575,575_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30,6
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,3362,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3712,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,69,6
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,2028,3287,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,6
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1,3648,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,63,6
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1,3683,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,88,6
581,581_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1584,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,35,6
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4350,4340,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,88,6
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,9.000000000000000000000000000000,1,1447,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1294,4657,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44,6
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1072,4991,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24,6
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,89,6
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,654,1871,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,92,6
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1,4700,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,66,6
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,3540,4350,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25,6
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,915,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55,6
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1884,4962,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,35,6
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,12,2650,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,6
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,1617,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,28,6
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4969,4618,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62,6
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2874,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,284,2010,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24,6
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,4687,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,12,6
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,511,4682,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,51,6
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4540,3907,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,78,6
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4230,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,6
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,3072,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
602,602_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,6
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,1756,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,6
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,2172,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,6
605,605_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,36,6
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4264,2543,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,6
607,607_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4959,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33,6
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,2048,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13,6
609,609_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22,6
610,610_0,FAILED,BoTorch,BOTORCH_MODULAR,,,244,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34,6
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,6
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1535,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,6
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4506,960,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,53,6
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4885,3142,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72,6
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,3345,4107,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49,6
616,616_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,72,6

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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
1744997418,1744997444,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4355 feature_id 6 batch_size 1352 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.02444523634761572 subsets 5,4355,1352,str\(\'KL\'\),1,str\(\'tstat\'\),0.02444523634761572,5,6,0.2,6,0,None,i7179,6,749.70703125,749.5325520833334,-1,0.23328921244209133,4543949
1744997458,1744997478,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1764 feature_id 6 batch_size 4932 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6095511672999709 subsets 86,1764,4932,str\(\'H\'\),2,str\(\'stdev\'\),0.6095511672999709,86,6,0.2,5,0,None,i7179,5,749.6328125,749.4869791666666,-1,0,4543981
1744997484,1744997510,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 461 feature_id 6 batch_size 954 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8877379702311009 subsets 35,461,954,str\(\'KL\'\),1,str\(\'stdev\'\),0.8877379702311009,35,6,0.2,6,0,None,i7179,6,751.3984375,751.2473958333334,-1,0.285572468563865,4544013
1744997484,1744997516,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2875 feature_id 6 batch_size 2686 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.4744127498175949 subsets 54,2875,2686,str\(\'H\'\),3,str\(\'tstat\'\),0.4744127498175949,54,6,0.2,6,0,None,i7179,6,750.390625,750.2421875,-1,0,4544045
1744997490,1744997535,45,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3448 feature_id 6 batch_size 126 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.13016040354780853 subsets 44,3448,126,str\(\'H\'\),3,str\(\'tstat\'\),0.13016040354780853,44,6,0.2,7,0,None,i7178,7,750.8359375,750.60546875,-1,0.08338848444738584,4544089
1744997539,1744997559,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2616 feature_id 6 batch_size 2038 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.27761711891926827 subsets 13,2616,2038,str\(\'KL\'\),2,str\(\'stdev\'\),0.27761711891926827,13,6,0.2,7,0,None,i7180,7,750.49609375,750.21875,-1,0,4544562
1744997514,1744997571,57,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3248 feature_id 6 batch_size 4519 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.12079956536181272 subsets 91,3248,4519,str\(\'KL\'\),3,str\(\'stdev\'\),0.12079956536181272,91,6,0.2,5,0,None,i7175,5,749.87109375,749.6953125,-1,0,4544507
1744997508,1744997575,67,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2381 feature_id 6 batch_size 2258 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7664291134458036 subsets 14,2381,2258,str\(\'H\'\),2,str\(\'stdev\'\),0.7664291134458036,14,6,0.2,6,0,None,i7177,6,750.5,750.24609375,-1,0,4544190
1744997514,1744997578,64,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 684 feature_id 6 batch_size 1854 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.518039076352492 subsets 22,684,1854,str\(\'H\'\),1,str\(\'tstat\'\),0.518039076352492,22,6,0.2,8,0,None,i7175,8,751.1484375,750.359375,-1,0,4544442
1744997508,1744997581,73,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4949 feature_id 6 batch_size 3949 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.36863762222789226 subsets 96,4949,3949,str\(\'KL\'\),1,str\(\'tstat\'\),0.36863762222789226,96,6,0.2,12,0,None,i7177,12,750.08203125,749.927734375,-1,0,4544246
1744997520,1744997586,66,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4602 feature_id 6 batch_size 842 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.3824185889009386 subsets 40,4602,842,str\(\'H\'\),2,str\(\'stdev\'\),0.3824185889009386,40,6,0.2,8,0,None,i7176,8,740.6875,740.6158854166666,-1,0,4544307
1744997520,1744997586,66,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2172 feature_id 6 batch_size 2865 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.982626101301983 subsets 71,2172,2865,str\(\'KL\'\),3,str\(\'tstat\'\),0.982626101301983,71,6,0.2,6,0,None,i7176,6,740.96875,740.8880208333334,-1,0,4544371
1744997599,1744997625,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 27 feature_id 6 batch_size 4102 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8622928056586534 subsets 81,27,4102,str\(\'H\'\),1,str\(\'tstat\'\),0.8622928056586534,81,6,0.2,11,0,None,i7185,11,734.29296875,717.6220703125,-1,0,4544617
1744997660,1744997680,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1495 feature_id 6 batch_size 581 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6384342368487269 subsets 30,1495,581,str\(\'KL\'\),3,str\(\'tstat\'\),0.6384342368487269,30,6,0.2,8,0,None,i7185,8,746.35546875,731.4583333333334,-1,0.19225678358702847,4544670
1744997699,1744997725,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3911 feature_id 6 batch_size 3204 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.2255391704905778 subsets 61,3911,3204,str\(\'H\'\),2,str\(\'stdev\'\),0.2255391704905778,61,6,0.2,7,0,None,i7185,7,744.53515625,731.3932291666666,-1,0,4544710
1744997778,1744997798,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3847 feature_id 6 batch_size 386 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8288336721304804 subsets 83,3847,386,str\(\'KL\'\),3,str\(\'tstat\'\),0.8288336721304804,83,6,0.2,6,0,None,i7177,6,750.01171875,749.7890625,-1,0,4544776
1744997788,1744997814,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 264 feature_id 6 batch_size 1998 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.1927477014902979 subsets 51,264,1998,str\(\'KL\'\),3,str\(\'stdev\'\),0.1927477014902979,51,6,0.2,6,0,None,i7177,6,751.33984375,751.1796875,-1,0,4544830
1744997789,1744997821,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1257 feature_id 6 batch_size 3321 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3061113600600511 subsets 1,1257,3321,str\(\'H\'\),1,str\(\'stdev\'\),0.3061113600600511,1,6,0.2,9,0,None,i7177,9,749.9921875,749.8658854166666,-1,0,4544800
1744999842,1744999868,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3333 feature_id 6 batch_size 1580 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9502035014871508 subsets 67,3333,1580,str\(\'H\'\),1,str\(\'tstat\'\),0.9502035014871508,67,6,0.2,11,0,None,i7172,11,751.19921875,751.0576171875,-1,0,4549245
1744999866,1744999892,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 901 feature_id 6 batch_size 4558 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4118255150783807 subsets 48,901,4558,str\(\'KL\'\),3,str\(\'stdev\'\),0.4118255150783807,48,6,0.2,6,0,None,i7173,6,751.19921875,751.0247395833334,-1,0,4549254
1744999883,1744999903,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4518 feature_id 6 batch_size 3060 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5471466718185694 subsets 17,4518,3060,str\(\'KL\'\),2,str\(\'tstat\'\),0.5471466718185694,17,6,0.2,6,0,None,i7172,6,750.3046875,750.1484375,-1,0,4549278
1744999885,1744999911,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2290 feature_id 6 batch_size 3832 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.16313459693454205 subsets 43,2290,3832,str\(\'KL\'\),2,str\(\'tstat\'\),0.16313459693454205,43,6,0.2,7,0,None,i7170,7,750.0546875,749.8997395833334,-1,0,4549314
1744999878,1744999917,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1953 feature_id 6 batch_size 725 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.08697168161906302 subsets 98,1953,725,str\(\'H\'\),1,str\(\'stdev\'\),0.08697168161906302,98,6,0.2,23,0,None,i7172,23,750.87890625,750.7875,-1,0.05823957643944408,4549263
1744999885,1744999918,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4717 feature_id 6 batch_size 2454 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.7009605138879269 subsets 75,4717,2454,str\(\'H\'\),3,str\(\'stdev\'\),0.7009605138879269,75,6,0.2,6,0,None,i7170,6,749.9609375,749.8111979166666,-1,0,4549296
1744999903,1744999923,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3679 feature_id 6 batch_size 3474 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7997054928448051 subsets 25,3679,3474,str\(\'KL\'\),1,str\(\'stdev\'\),0.7997054928448051,25,6,0.2,7,0,None,i7173,7,750.52734375,750.3802083333334,-1,0,4549352
1744999885,1744999944,59,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1113 feature_id 6 batch_size 164 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.34008248287253084 subsets 94,1113,164,str\(\'H\'\),2,str\(\'tstat\'\),0.34008248287253084,94,6,0.2,38,0,None,i7170,38,750.3359375,750.171875,-1,0.10853739245532759,4549334
1745000345,1745000372,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2788 feature_id 6 batch_size 4034 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 39,2788,4034,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,39,6,0.2,7,0,None,i7173,7,750.13671875,749.9401041666666,-1,0,4549801
1745001098,1745001155,57,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 125 feature_id 6 batch_size 265 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 43,125,265,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,43,6,0.2,7,0,None,i7164,7,751.30078125,751.03515625,-1,0.08769027134348113,4550694
1745001882,1745001909,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3970 feature_id 6 batch_size 2192 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 45,3970,2192,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,45,6,0.2,9,0,None,i7172,9,750.58984375,750.35546875,-1,0.06386499007279947,4551745
1745002303,1745002323,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 447 feature_id 6 batch_size 3450 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 77,447,3450,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,77,6,0.2,7,0,None,i7172,7,749.875,749.6822916666666,-1,0,4552155
1745002822,1745002855,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 2497 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 54,1,2497,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,54,6,0.2,8,0,None,i7185,8,709.95703125,687.5677083333334,-1,0,4552487
1745002932,1745002952,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,1,6,0.2,6,0,None,i7173,6,750.38671875,750.2135416666666,-1,0,4552554
1745003102,1745003121,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.36880850920549907 subsets 1,5000,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.36880850920549907,1,6,0.2,7,0,None,i7172,7,751.2734375,751.0989583333334,-1,0,4552695
1745003413,1745003433,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2848 feature_id 6 batch_size 3268 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 37,2848,3268,str\(\'H\'\),2,str\(\'stdev\'\),0.999,37,6,0.2,6,0,None,i7172,6,750.625,750.4557291666666,-1,0,4553002
1745003861,1745003881,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 142 feature_id 6 batch_size 3629 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 15,142,3629,str\(\'H\'\),2,str\(\'stdev\'\),0.001,15,6,0.2,6,0,None,i7170,6,750.73046875,750.5559895833334,-1,0,4553368
1745004082,1745004102,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,5000,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,1,6,0.2,5,0,None,i7169,5,749.9921875,749.8372395833334,-1,0,4553591
1745004843,1745004870,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4934 feature_id 6 batch_size 1754 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 35,4934,1754,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,35,6,0.2,7,0,None,i7173,7,751.69140625,751.3880208333334,-1,0,4554419
1745005633,1745005660,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,5000,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,6,0.2,12,0,None,i7170,12,749.9140625,749.837890625,-1,0,4555118
1745006204,1745006230,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2889 feature_id 6 batch_size 1557 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 63,2889,1557,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,63,6,0.2,7,0,None,i7180,7,750.17578125,749.9869791666666,-1,0,4555611
1745006745,1745006765,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4521 feature_id 6 batch_size 1453 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 60,4521,1453,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,60,6,0.2,6,0,None,i7170,6,750.71875,750.5416666666666,-1,0.300132362673726,4556069
1745007085,1745007111,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,6,0.2,6,0,None,i7168,6,750.671875,750.515625,-1,0,4556377
1745007624,1745007644,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3809 feature_id 6 batch_size 2449 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5022768377338037 subsets 100,3809,2449,str\(\'KL\'\),3,str\(\'tstat\'\),0.5022768377338037,100,6,0.2,6,0,None,i7168,6,750.796875,750.6393229166666,-1,0,4556884
1745008284,1745008304,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 408 feature_id 6 batch_size 452 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 63,408,452,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,63,6,0.2,8,0,None,i7167,8,749.81640625,749.6328125,-1,0.08636664460622105,4557527
1745008883,1745008903,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1190 feature_id 6 batch_size 4613 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 5,1190,4613,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,5,6,0.2,6,0,None,i7169,6,750.8046875,750.6497395833334,-1,0,4558096
1745009565,1745009585,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3262 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 43,1,3262,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,43,6,0.2,7,0,None,i7170,7,751.99609375,751.8307291666666,-1,0,4558667
1745009775,1745009795,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,5000,str\(\'H\'\),3,str\(\'stdev\'\),0.999,1,6,0.2,6,0,None,i7169,6,751.76953125,751.5611979166666,-1,0,4558844
1745010304,1745010324,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 2323 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 23,5000,2323,str\(\'H\'\),3,str\(\'tstat\'\),0.001,23,6,0.2,7,0,None,i7173,7,750.24609375,750.078125,-1,0,4559261
1745010926,1745010945,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2257 feature_id 6 batch_size 2648 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 44,2257,2648,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,44,6,0.2,5,0,None,i7168,5,751.79296875,751.62890625,-1,0,4559834
1745011085,1745011105,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,5000,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,6,0.2,6,0,None,i7168,6,751.25390625,751.1067708333334,-1,0,4559987
1745011695,1745011715,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1079 feature_id 6 batch_size 3009 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 93,1079,3009,str\(\'H\'\),3,str\(\'stdev\'\),0.999,93,6,0.2,6,0,None,i7170,6,751.3125,751.1393229166666,-1,0,4560564
1745012165,1745012191,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4909 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 57,4909,5000,str\(\'H\'\),2,str\(\'stdev\'\),0.001,57,6,0.2,6,0,None,i7185,6,698.79296875,693.8190104166666,-1,0,4560974
1745012748,1745012769,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4938 feature_id 6 batch_size 4257 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 67,4938,4257,str\(\'H\'\),2,str\(\'tstat\'\),0.001,67,6,0.2,6,0,None,i7170,6,750.36328125,750.2161458333334,-1,0,4561451
1745013347,1745013367,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4123 feature_id 6 batch_size 1616 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 22,4123,1616,str\(\'H\'\),3,str\(\'stdev\'\),0.001,22,6,0.2,6,0,None,i7170,6,750.43359375,750.26171875,-1,0,4561947
1745013905,1745013925,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 779 feature_id 6 batch_size 3188 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 74,779,3188,str\(\'H\'\),1,str\(\'tstat\'\),0.001,74,6,0.2,8,0,None,i7168,8,750.8359375,750.6432291666666,-1,0,4562419
1745014646,1745014666,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4323 feature_id 6 batch_size 2472 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 28,4323,2472,str\(\'H\'\),2,str\(\'stdev\'\),0.001,28,6,0.2,6,0,None,i7168,6,751.02734375,750.7747395833334,-1,0,4563029
1745015186,1745015206,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3851 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 49,1,3851,str\(\'H\'\),3,str\(\'stdev\'\),0.001,49,6,0.2,6,0,None,i7168,6,750.57421875,750.4075520833334,-1,0,4563501
1745015826,1745015853,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2864 feature_id 6 batch_size 1097 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 87,2864,1097,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,87,6,0.2,8,0,None,i7185,8,748.62109375,741.3346354166666,-1,0.06452680344142951,4564031
1745016451,1745016477,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1815 feature_id 6 batch_size 4141 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 19,1815,4141,str\(\'H\'\),1,str\(\'stdev\'\),0.999,19,6,0.2,6,0,None,i7169,6,751.56640625,751.4231770833334,-1,0,4564511
1745017222,1745017242,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4937 feature_id 6 batch_size 3845 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 98,4937,3845,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,98,6,0.2,6,0,None,i7180,6,750.578125,750.3828125,-1,0,4565101
1745017808,1745017828,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2704 feature_id 6 batch_size 4503 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 28,2704,4503,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,28,6,0.2,6,0,None,i7173,6,749.98828125,749.7747395833334,-1,0,4565590
1745018487,1745018507,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 31,5000,5000,str\(\'H\'\),2,str\(\'tstat\'\),0.001,31,6,0.2,7,0,None,i7173,7,751.16796875,750.9817708333334,-1,0,4566176
1745019090,1745019110,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 4716 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 37,1,4716,str\(\'H\'\),2,str\(\'tstat\'\),0.001,37,6,0.2,6,0,None,i7169,6,750.12890625,749.9479166666666,-1,0,4566662
1745019809,1745019841,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 2678 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,2678,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,1,6,0.2,6,0,None,i7185,6,650.00390625,647.484375,-1,0,4567190
1745020329,1745020355,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 1513 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 31,5000,1513,str\(\'H\'\),1,str\(\'stdev\'\),0.999,31,6,0.2,10,0,None,i7185,10,734.0546875,714.97265625,-1,0,4567572
1745020748,1745020768,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3197 feature_id 6 batch_size 4600 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,3197,4600,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,100,6,0.2,4,0,None,i7168,4,750.859375,750.6731770833334,-1,0,4567913
1745021289,1745021309,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3494 feature_id 6 batch_size 823 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 17,3494,823,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,17,6,0.2,8,0,None,i7169,8,750.8359375,750.546875,-1,0,4568355
1745021951,1745021972,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2163 feature_id 6 batch_size 4532 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 13,2163,4532,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,13,6,0.2,7,0,None,i7173,7,749.87890625,749.703125,-1,0,4568859
1745022500,1745022513,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2218 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 24,2218,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,24,6,None,None,1,None,i7173,,,,,,4569247
1745023169,1745023189,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3460 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 23,3460,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,23,6,0.2,6,0,None,i7169,6,750.05078125,749.8828125,-1,0,4569744
1745023760,1745023780,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 325 feature_id 6 batch_size 514 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 23,325,514,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,23,6,0.2,7,0,None,i7185,7,751.55859375,751.3268229166666,-1,0,4570230
1745024450,1745024470,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3958 feature_id 6 batch_size 3273 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 7,3958,3273,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,7,6,0.2,6,0,None,i7168,6,750.375,750.19921875,-1,0,4570837
1745024909,1745024928,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1996 feature_id 6 batch_size 3277 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 7,1996,3277,str\(\'H\'\),3,str\(\'tstat\'\),0.999,7,6,0.2,4,0,None,i7167,4,751.71484375,751.546875,-1,0,4571180
1745025441,1745025468,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4312 feature_id 6 batch_size 4861 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 75,4312,4861,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,75,6,0.2,7,0,None,i7173,7,750.0234375,749.8684895833334,-1,0,4571548
1745026100,1745026120,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 238 feature_id 6 batch_size 4647 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 87,238,4647,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,87,6,0.2,6,0,None,i7170,6,750.26171875,750.1067708333334,-1,0,4571991
1745026812,1745026825,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1090 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 39,1090,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,39,6,None,None,1,None,i7173,,,,,,4572509
1745027476,1745027496,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3514 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 98,1,3514,str\(\'H\'\),3,str\(\'stdev\'\),0.001,98,6,0.2,6,0,None,i7170,6,750.8515625,750.68359375,-1,0,4573019
1745028291,1745028311,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1522 feature_id 6 batch_size 3876 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 19,1522,3876,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,19,6,0.2,6,0,None,i7170,6,750.8984375,750.7239583333334,-1,0,4573644
1745028928,1745028948,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1830 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 42,1,1830,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,42,6,0.2,7,0,None,i7173,7,750.07421875,749.8151041666666,-1,0,4574107
1745029831,1745029852,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 4782 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 97,1,4782,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,97,6,0.2,6,0,None,i7173,6,751.30078125,751.125,-1,0,4574773
1745030631,1745030651,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 4738 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 41,5000,4738,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,41,6,0.2,7,0,None,i7173,7,751.7578125,751.609375,-1,0,4575349
1745031351,1745031370,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 4921 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 72,5000,4921,str\(\'H\'\),3,str\(\'stdev\'\),0.001,72,6,0.2,4,0,None,i7168,4,748.61328125,748.4453125,-1,0,4575851
1745032032,1745032052,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3899 feature_id 6 batch_size 3597 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 55,3899,3597,str\(\'H\'\),1,str\(\'stdev\'\),0.999,55,6,0.2,8,0,None,i7173,8,751.36328125,751.2239583333334,-1,0,4576345
1745032613,1745032633,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 635 feature_id 6 batch_size 1988 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 6,635,1988,str\(\'H\'\),3,str\(\'stdev\'\),0.001,6,6,0.2,6,0,None,i7185,6,750.00390625,749.828125,-1,0,4576760
1745033213,1745033239,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 723 feature_id 6 batch_size 2825 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 90,723,2825,str\(\'H\'\),2,str\(\'tstat\'\),0.999,90,6,0.2,13,0,None,i7173,13,750.640625,750.4013671875,-1,0,4577145
1745033843,1745033856,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 31,5000,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,31,6,None,None,1,None,i7173,,,,,,4577556
1745034863,1745034883,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3240 feature_id 6 batch_size 502 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 12,3240,502,str\(\'H\'\),3,str\(\'stdev\'\),0.001,12,6,0.2,7,0,None,i7173,7,750.734375,750.5768229166666,-1,0.16611515552614162,4578259
1745035753,1745035773,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4440 feature_id 6 batch_size 1977 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 75,4440,1977,str\(\'H\'\),3,str\(\'tstat\'\),0.999,75,6,0.2,6,0,None,i7169,6,750.140625,749.9674479166666,-1,0,4578871
1745036755,1745036782,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3911 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,3911,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,6,0.2,7,0,None,i7180,7,751.71875,751.5494791666666,-1,0,4579515
1745037475,1745037495,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3943 feature_id 6 batch_size 3790 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 79,3943,3790,str\(\'H\'\),2,str\(\'tstat\'\),0.001,79,6,0.2,6,0,None,i7185,6,751.0390625,750.84375,-1,0,4579950
1745038273,1745038293,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4761 feature_id 6 batch_size 3974 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4761,3974,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,6,0.2,5,0,None,i7170,5,751.32421875,751.15625,-1,0,4580464
1745039246,1745039266,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2119 feature_id 6 batch_size 4196 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,2119,4196,str\(\'H\'\),3,str\(\'stdev\'\),0.001,100,6,0.2,7,0,None,i7180,7,750.19140625,750.0182291666666,-1,0,4581124
1745040085,1745040105,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1089 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 75,1089,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.001,75,6,0.2,6,0,None,i7185,6,751.62109375,751.4270833333334,-1,0,4581640
1745040985,1745041005,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 29 feature_id 6 batch_size 4787 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.24104263916650906 subsets 90,29,4787,str\(\'H\'\),3,str\(\'tstat\'\),0.24104263916650906,90,6,0.2,7,0,None,i7173,7,750.296875,750.1510416666666,-1,0,4582165
1745041945,1745041958,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 30,5000,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,30,6,None,None,1,None,i7173,,,,,,4582758
1745042836,1745042856,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 3362 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,3362,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,100,6,0.2,6,0,None,i7185,6,750.71875,750.54296875,-1,0,4583269
1745043494,1745043514,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3712 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 69,1,3712,str\(\'H\'\),2,str\(\'stdev\'\),0.999,69,6,0.2,5,0,None,i7170,5,750.59765625,750.4153645833334,-1,0,4583677
1745044107,1745044127,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2028 feature_id 6 batch_size 3287 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 34,2028,3287,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,34,6,0.2,6,0,None,i7173,6,749.77734375,749.6028645833334,-1,0,4584122
1745045356,1745045383,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3648 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 63,1,3648,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,63,6,0.2,7,0,None,i7173,7,666.45703125,655.9869791666666,-1,0,4584984
1745046326,1745046346,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3683 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 88,1,3683,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,88,6,0.2,7,0,None,i7180,7,751.07421875,750.9192708333334,-1,0,4585534
1745047137,1745047157,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1584 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 35,1584,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,35,6,None,None,1,None,i7185,,,,,,4585988
1745048007,1745048033,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4350 feature_id 6 batch_size 4340 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 88,4350,4340,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,88,6,0.2,6,0,None,i7173,6,678.30078125,675.4713541666666,-1,0,4586478
1745048758,1745048785,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1447 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,1447,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,6,0.2,9,0,None,i7180,9,750.265625,749.9622395833334,-1,0,4586902
1745049717,1745049737,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1294 feature_id 6 batch_size 4657 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 44,1294,4657,str\(\'H\'\),2,str\(\'tstat\'\),0.999,44,6,0.2,6,0,None,i7180,6,750.671875,750.4986979166666,-1,0,4587455
1745050618,1745050644,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1072 feature_id 6 batch_size 4991 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 24,1072,4991,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,24,6,0.2,6,0,None,i7173,6,737.87109375,736.0247395833334,-1,0,4587954
1745052118,1745052144,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 89,5000,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,89,6,0.2,6,0,None,i7173,6,743.64453125,736.05859375,-1,0,4588774
1745053108,1745053129,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 654 feature_id 6 batch_size 1871 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 92,654,1871,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,92,6,0.2,6,0,None,i7180,6,750.40234375,750.1979166666666,-1,0,4589293
1745054268,1745054313,45,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 4700 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 66,1,4700,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,66,6,0.2,7,0,None,i7180,7,751.3359375,751.1484375,-1,0,4589845
1745055138,1745055164,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3540 feature_id 6 batch_size 4350 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 25,3540,4350,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,25,6,0.2,7,0,None,i7173,7,676.72265625,666.8020833333334,-1,0,4590389
1745055928,1745055947,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 915 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 55,5000,915,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,55,6,0.2,7,0,None,i7183,7,751.23828125,751.08984375,-1,0,4590837
1745057019,1745057039,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1884 feature_id 6 batch_size 4962 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 35,1884,4962,str\(\'H\'\),3,str\(\'tstat\'\),0.001,35,6,0.2,6,0,None,i7180,6,749.90234375,749.70703125,-1,0,4591411
1745057909,1745057929,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 12 feature_id 6 batch_size 2650 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 16,12,2650,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,16,6,0.2,7,0,None,i7183,7,752.20703125,752.0143229166666,-1,0.2154202514890801,4591874
1745058684,1745058704,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1617 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 28,1,1617,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,28,6,0.2,6,0,None,i7183,6,750.109375,749.953125,-1,0,4592303
1745059590,1745059610,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4969 feature_id 6 batch_size 4618 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 62,4969,4618,str\(\'H\'\),1,str\(\'tstat\'\),0.001,62,6,0.2,7,0,None,i7180,7,751.2109375,751.0078125,-1,0,4592779
1745060496,1745060515,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 2874 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,2874,str\(\'H\'\),3,str\(\'tstat\'\),0.001,1,6,0.2,5,0,None,i7180,5,751.2578125,751.0846354166666,-1,0,4593261
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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 284 feature_id 6 batch_size 2010 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 24,284,2010,str\(\'H\'\),2,str\(\'tstat\'\),0.001,24,6,0.2,6,0,None,i7183,6,750.29296875,749.9817708333334,-1,0,4593867
1745062661,1745062681,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 4687 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 12,1,4687,str\(\'H\'\),3,str\(\'tstat\'\),0.001,12,6,0.2,6,0,None,i7185,6,710.44921875,708.44140625,-1,0,4594432
1745063580,1745063600,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 511 feature_id 6 batch_size 4682 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 51,511,4682,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,51,6,0.2,6,0,None,i7185,6,744.74609375,744.5677083333334,-1,0,4594903
1745064561,1745064587,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4540 feature_id 6 batch_size 3907 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 78,4540,3907,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,78,6,0.2,6,0,None,i7185,6,703.51171875,692.1614583333334,-1,0,4595419
1745065660,1745065692,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 4230 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1,4230,str\(\'H\'\),2,str\(\'tstat\'\),0.001,100,6,0.2,5,0,None,i7173,5,689.1640625,681.0455729166666,-1,0,4596002
1745066800,1745066827,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 3072 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3072,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,6,0.2,7,0,None,i7180,7,750.09375,749.92578125,-1,0,4596605
1745067842,1745067861,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 29,1,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,29,6,None,None,1,None,i7185,,,,,,4597114
1745068802,1745068822,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 1756 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,1756,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,1,6,0.2,6,0,None,i7183,6,747.50390625,746.4479166666666,-1,0,4597625
1745069850,1745069877,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 2172 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 46,5000,2172,str\(\'H\'\),3,str\(\'tstat\'\),0.999,46,6,0.2,6,0,None,i7185,6,721.375,718.37890625,-1,0,4598132
1745070922,1745070942,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 36,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,36,6,None,None,1,None,i7183,,,,,,4598664
1745071942,1745071962,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4264 feature_id 6 batch_size 2543 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 17,4264,2543,str\(\'H\'\),2,str\(\'tstat\'\),0.999,17,6,0.2,6,0,None,i7183,6,734.49609375,731.83984375,-1,0,4599180
1745073183,1745073203,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4959 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 33,4959,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,33,6,None,None,1,None,i7183,,,,,,4599822
1745074603,1745074629,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 2048 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 13,1,2048,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,13,6,0.2,6,0,None,i7183,6,684.328125,674.0208333333334,-1,0,4600519
1745075463,1745075483,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 22,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,22,6,None,None,1,None,i7183,,,,,,4600916
1745076544,1745076563,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 244 feature_id 6 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 34,244,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,34,6,None,None,1,None,i7183,,,,,,4601427
1745077644,1745077670,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 100,5000,5000,str\(\'H\'\),2,str\(\'stdev\'\),0.999,100,6,0.2,6,0,None,i7183,6,720.65234375,710.3190104166666,-1,0,4601953
1745078724,1745078751,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1535 feature_id 6 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1535,5000,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,6,0.2,7,0,None,i7183,7,750.546875,750.3932291666666,-1,0,4602454
1745079784,1745079803,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4506 feature_id 6 batch_size 960 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 53,4506,960,str\(\'H\'\),3,str\(\'stdev\'\),0.999,53,6,0.2,6,0,None,i7183,6,748.5859375,748.3932291666666,-1,0.2915287888815354,4602960
1745080721,1745080741,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4885 feature_id 6 batch_size 3142 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 72,4885,3142,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,72,6,0.2,6,0,None,i7185,6,750.28515625,750.07421875,-1,0,4603388
1745081834,1745081860,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3345 feature_id 6 batch_size 4107 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 49,3345,4107,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,49,6,0.2,6,0,None,i7183,6,750.47265625,750.2981770833334,-1,0,4603885
1745082851,1745082878,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 72,1,1,str\(\'H\'\),3,str\(\'stdev\'\),0.001,72,6,0.2,12,0,None,i7185,12,750.41796875,750.2890625,-1,0.0843812045003309,4604324

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Job SlurmJob<job_id=4544140, task_id=0, state="NODE_FAIL">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing', 'out_of_memory'], which would be ignored: node_fail


⚠ Job 4544140 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4544140/4544140_0_result.pkl
has not produced any output (state: NODE_FAIL)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4544140/4544140_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4544140/4544140_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4544140/4544140_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569247/4569247_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572509/4572509_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577556/4577556_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582758/4582758_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585988/4585988_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597114/4597114_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4598664/4598664_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4599822/4599822_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4600916/4600916_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601427/4601427_0_log.err not found

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Arguments Overview:

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1744997249.1607666,20,0,0
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timestamp,ram_usage_mb,cpu_usage_percent
1744997249,636.57421875,14.0
1744997249,636.578125,12.4
1744997249,636.578125,11.9
1744997249,636.578125,11.5
1744997249,636.578125,14.0
1744997249,636.578125,10.6
1744997249,636.578125,14.6
1744997721,689.40234375,19.3
1744997721,689.40234375,17.0
1744997721,689.40234375,17.4
1744997721,689.40234375,21.5
1745005623,910.75390625,29.8
1745005623,910.75390625,32.0
1745005623,910.75390625,31.7
1745005623,910.75390625,35.4
1745016445,963.00390625,31.7
1745016445,963.00390625,32.1
1745016445,963.00390625,31.1
1745016445,963.00390625,29.5
1745028927,941.76171875,31.8
1745028927,941.76171875,33.5
1745028927,941.76171875,32.5
1745028927,941.76171875,39.4
1745045362,992.27734375,31.3
1745045362,992.27734375,30.1
1745045362,992.27734375,29.8
1745045362,992.27734375,33.3
1745064561,1033.12109375,31.7
1745064561,1033.12109375,31.2
1745064561,1033.12109375,29.6
1745064561,1033.12109375,34.2

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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.

•  Job-Infos

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				background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 -0.5 15 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e6eefc' d='M0 0h1'/%3E%3Cpath stroke='%23d1e0fd' d='M1 0h1M0 1h1m3 0h2M2 3h1M2 4h1'/%3E%3Cpath stroke='%23cad8f9' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23c4d3f7' d='M3 0h1M0 3h1M0 4h1'/%3E%3Cpath stroke='%23bfd0f8' d='M4 0h2M0 5h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 0h1M0 6h1'/%3E%3Cpath stroke='%23baccf4' d='M7 0h1m6 2h1m-1 5h1m-1 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M8 0h1M0 7h1M0 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M9 0h2M0 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 0h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 0h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 0h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 0h1'/%3E%3Cpath stroke='%23e1eafe' d='M1 1h1'/%3E%3Cpath stroke='%23dae6fe' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23d4e1fc' d='M3 1h1M1 3h1M1 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 1h1M1 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 1h1M4 2h2'/%3E%3Cpath stroke='%23cad9fd' d='M8 1h1M6 2h1M3 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M9 1h2'/%3E%3Cpath stroke='%23c5d6fc' d='M11 1h1M2 11h4'/%3E%3Cpath stroke='%23c2d3fc' d='M12 1h1m-2 1h1M1 11h1m0 1h2m-2 1h2'/%3E%3Cpath stroke='%23bccefa' d='M13 1h1m-1 1h1m-1 1h1m-1 1h1M3 15h4'/%3E%3Cpath stroke='%23b9c9f3' d='M14 1h1M3 16h4'/%3E%3Cpath stroke='%23d8e3fc' d='M2 2h1'/%3E%3Cpath stroke='%23d1defd' d='M3 2h1'/%3E%3Cpath stroke='%23c9d8fc' d='M7 2h1M4 3h3M4 4h3M3 6h1m1 0h2M1 7h1M1 8h1'/%3E%3Cpath stroke='%23c5d5fc' d='M8 2h1m-8 8h5'/%3E%3Cpath stroke='%23c5d3fc' d='M9 2h2'/%3E%3Cpath stroke='%23bed0fc' d='M12 2h1M8 3h1M8 4h1m-8 8h1m-1 1h1m0 1h1m1 0h3'/%3E%3Cpath stroke='%23cddbfc' d='M3 3h1M3 4h1M1 6h2'/%3E%3Cpath stroke='%23c8d5fb' d='M7 3h1M7 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M9 3h4M9 4h4M8 5h1M7 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 3h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23ceddfd' d='M2 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M4 5h4M1 9h3'/%3E%3Cpath stroke='%23bacdfc' d='M9 5h2m1 0h2M1 14h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M8 6h2m2 0h2m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%234d6185' d='M4 6h1m5 0h1M3 7h3m3 0h3M4 8h3m1 0h3M5 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1m-1 1h1'/%3E%3Cpath stroke='%23cad8fd' d='M2 7h1M2 8h2'/%3E%3Cpath stroke='%23c1d3fb' d='M6 7h2M7 8h1M4 9h1'/%3E%3Cpath stroke='%23b6cefb' d='M8 7h1m2 1h1m-2 1h3m-2 1h2'/%3E%3Cpath stroke='%23b6cdfb' d='M13 9h1m-6 6h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 9h1'/%3E%3Cpath stroke='%23b4c8f6' d='M0 10h1'/%3E%3Cpath stroke='%23bdd3fb' d='M9 10h2m-4 4h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 10h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 10h1'/%3E%3Cpath stroke='%23b1c7f6' d='M0 11h1'/%3E%3Cpath stroke='%23c3d5fd' d='M6 11h1'/%3E%3Cpath stroke='%23bad4fc' d='M8 11h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M9 11h4m-2 3h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 11h1m-3 4h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 11h1m-7 5h3'/%3E%3Cpath stroke='%23adc3f6' d='M0 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c2d5fc' d='M4 12h4m-4 1h4'/%3E%3Cpath stroke='%23b7d3fc' d='M9 12h2m-2 1h2m-3 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 12h1m-1 1h1'/%3E%3Cpath stroke='%23afcdfb' d='M12 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afcbfa' d='M13 12h1m-1 1h1'/%3E%3Cpath stroke='%23b2c8f4' d='M14 12h1m-1 1h1m-4 3h1'/%3E%3Cpath stroke='%23c1d2fb' d='M3 14h1'/%3E%3Cpath stroke='%23b6d1fb' d='M9 14h2'/%3E%3Cpath stroke='%23adc9f9' d='M13 14h1m-2 1h1'/%3E%3Cpath stroke='%23b1c6f3' d='M14 14h1m-3 2h1'/%3E%3Cpath stroke='%23abc1f4' d='M0 15h1'/%3E%3Cpath stroke='%23b7cbf9' d='M1 15h1'/%3E%3Cpath stroke='%23b9cefb' d='M2 15h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 15h1'/%3E%3Cpath stroke='%23b2cdfb' d='M9 15h2'/%3E%3Cpath stroke='%23aec8f7' d='M13 15h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 15h1m-2 1h1'/%3E%3Cpath stroke='%23dbe3f8' d='M0 16h1'/%3E%3Cpath stroke='%23b7c6f1' d='M1 16h1'/%3E%3Cpath stroke='%23b8c9f2' d='M2 16h1m4 0h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 16h1'/%3E%3C/svg%3E");
				background-size: 15px;
				font-size: 11px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				height: 21px;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				position: relative;
				padding: 5px 32px 32px 5px;
				background-position: top 50% right 2px;
				background-repeat: no-repeat;
				border-radius: 0;
				border: 1px solid black;
			}
			

			body {
				font-variant: oldstyle-nums;
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
				background-color: #fafafa;
				text-shadow: 0 0.05em 0.1em rgba(0,0,0,0.2);
				scroll-behavior: smooth;
				text-wrap: balance;
				text-rendering: optimizeLegibility;
				-webkit-font-smoothing: antialiased;
				-moz-osx-font-smoothing: grayscale;
				font-feature-settings: "ss02", "liga", "onum";
			}
			
			.marked_text {
				background-color: yellow;
			}
			
			.time_picker_container {
				font-variant: small-caps;
				width: 100%;
			}
			
			.time_picker_container > input {
				width: 50px;
			}
			
			#loader {
				display: grid;
				justify-content: center;
				align-items: center;
				height: 100%;
			}
			
			.no_linebreak {
				line-break: auto;
			}
			
			.dark_code_bg {
				background-color: #363636;
				color: white;
			}
			
			.code_bg {
				background-color: #C0C0C0;
			}
			
			#commands {
				line-break: anywhere;
			}
			
			.color_red {
				color: red;
			}
			
			.color_orange {
				color: orange;
			}
			
			table > tbody > tr:nth-child(odd) {
				background-color: #fafafa;
			}
			
			table > tbody > tr:nth-child(even) {
				background-color: #ddd;
			}
			
			table {
				border-collapse: collapse;
				margin: 0 0;
				min-width: 200px;
			}
			
			th {
				background-color: #4eae46;
				color: #ffffff;
				text-align: left;
				border: 0px;
			}
			
			.error_element {
				background-color: #e57373;
				border-radius: 10px;
				padding: 4px;
				display: none;
			}
			
			button {
				background-color: #4eae46;
				border: 1px solid #2A8387;
				border-radius: 4px;
				box-shadow: rgba(0, 0, 0, 0.12) 0 1px 1px;
				cursor: pointer;
				display: block;
				line-height: 100%;
				outline: 0;
				padding: 11px 15px 12px;
				text-align: center;
				transition: box-shadow .05s ease-in-out, opacity .05s ease-in-out;
				user-select: none;
				-webkit-user-select: none;
				touch-action: manipulation;
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			button:hover {
				box-shadow: rgba(255, 255, 255, 0.3) 0 0 2px inset, rgba(0, 0, 0, 0.4) 0 1px 2px;
				text-decoration: none;
				transition-duration: .15s, .15s;
			}
			
			button:active {
				box-shadow: rgba(0, 0, 0, 0.15) 0 2px 4px inset, rgba(0, 0, 0, 0.4) 0 1px 1px;
			}
			
			button:disabled {
				cursor: not-allowed;
				opacity: .6;
			}
			
			button:disabled:active {
				pointer-events: none;
			}
			
			button:disabled:hover {
				box-shadow: none;
			}
			
			.half_width_td {
				vertical-align: baseline;
				width: 50%;
			}
			
			#scads_bar {
				width: 100%;
				margin: 0;
				padding: 0;
				user-select: none;
				user-drag: none;
				-webkit-user-drag: none;
				user-select: none;
				-moz-user-select: none;
				-webkit-user-select: none;
				-ms-user-select: none;
				display: -webkit-box;
			}
			
			.tab {
				display: inline-block;
				padding: 0px;
				margin: 0px;
				font-size: 16px;
				font-weight: bold;
				text-align: center;
				border-radius: 25px;
				text-decoration: none !important;
				transition: background-color 0.3s, color 0.3s;
				color: unset !important;
			}
			
			.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 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			: :-webkit-scrollbar-button: vertical: end{
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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
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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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			}
			
			.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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1495 feature_id 6 batch_size 581 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.6384342368487269 subsets 30",
			        1495,
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3911 feature_id 6 batch_size 3204 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.2255391704905778 subsets 61",
			        3911,
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3847 feature_id 6 batch_size 386 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.8288336721304804 subsets 83",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 264 feature_id 6 batch_size 1998 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.1927477014902979 subsets 51",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1257 feature_id 6 batch_size 3321 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.3061113600600511 subsets 1",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3333 feature_id 6 batch_size 1580 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.9502035014871508 subsets 67",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 901 feature_id 6 batch_size 4558 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.4118255150783807 subsets 48",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4518 feature_id 6 batch_size 3060 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.5471466718185694 subsets 17",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2290 feature_id 6 batch_size 3832 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.16313459693454205 subsets 43",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1953 feature_id 6 batch_size 725 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.08697168161906302 subsets 98",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4717 feature_id 6 batch_size 2454 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.7009605138879269 subsets 75",
			        4717,
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3679 feature_id 6 batch_size 3474 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.7997054928448051 subsets 25",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1113 feature_id 6 batch_size 164 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.34008248287253084 subsets 94",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2788 feature_id 6 batch_size 4034 divergence str\\(\\'KL\\'\\) 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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 125 feature_id 6 batch_size 265 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 43",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3970 feature_id 6 batch_size 2192 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 45",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 447 feature_id 6 batch_size 3450 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 77",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 2497 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 54",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.36880850920549907 subsets 1",
			        5000,
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2848 feature_id 6 batch_size 3268 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 37",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 142 feature_id 6 batch_size 3629 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 15",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4934 feature_id 6 batch_size 1754 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 35",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2889 feature_id 6 batch_size 1557 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 63",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2163 feature_id 6 batch_size 4532 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 13",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2218 feature_id 6 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 24",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3460 feature_id 6 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 23",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 325 feature_id 6 batch_size 514 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 23",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3958 feature_id 6 batch_size 3273 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 7",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1996 feature_id 6 batch_size 3277 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 7",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4312 feature_id 6 batch_size 4861 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 75",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 238 feature_id 6 batch_size 4647 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 87",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1090 feature_id 6 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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3514 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 98",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1522 feature_id 6 batch_size 3876 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 19",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1830 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 4782 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 97",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 4738 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 41",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 4921 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 72",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3899 feature_id 6 batch_size 3597 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 55",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 635 feature_id 6 batch_size 1988 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 6",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 723 feature_id 6 batch_size 2825 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 90",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 31",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3240 feature_id 6 batch_size 502 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 12",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4440 feature_id 6 batch_size 1977 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 75",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3911 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3943 feature_id 6 batch_size 3790 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 79",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4761 feature_id 6 batch_size 3974 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2119 feature_id 6 batch_size 4196 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1089 feature_id 6 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 75",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 29 feature_id 6 batch_size 4787 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.24104263916650906 subsets 90",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 3362 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3712 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 69",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2028 feature_id 6 batch_size 3287 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 34",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3648 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 63",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 3683 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 88",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1584 feature_id 6 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 35",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1447 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1294 feature_id 6 batch_size 4657 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 44",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1072 feature_id 6 batch_size 4991 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 24",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 5000 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 89",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 654 feature_id 6 batch_size 1871 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 92",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 4700 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 66",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3540 feature_id 6 batch_size 4350 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 25",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 915 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 55",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1884 feature_id 6 batch_size 4962 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 35",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 12 feature_id 6 batch_size 2650 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 16",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 1617 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 28",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4969 feature_id 6 batch_size 4618 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 62",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 6 batch_size 2874 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 284 feature_id 6 batch_size 2010 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 24",
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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 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 6 batch_size 4230 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
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			        1745062647.6472998,
			        20,
			        2,
			        10
			    ],
			    [
			        1745062648.5175889,
			        20,
			        2,
			        10
			    ],
			    [
			        1745062659.3568192,
			        20,
			        1,
			        5
			    ],
			    [
			        1745062659.4516952,
			        20,
			        1,
			        5
			    ],
			    [
			        1745063555.222896,
			        20,
			        1,
			        5
			    ],
			    [
			        1745063555.6509116,
			        20,
			        1,
			        5
			    ],
			    [
			        1745063557.1808827,
			        20,
			        2,
			        10
			    ],
			    [
			        1745063558.0214849,
			        20,
			        2,
			        10
			    ],
			    [
			        1745063568.7939868,
			        20,
			        1,
			        5
			    ],
			    [
			        1745063568.8915036,
			        20,
			        1,
			        5
			    ],
			    [
			        1745064540.6962337,
			        20,
			        1,
			        5
			    ],
			    [
			        1745064541.116125,
			        20,
			        1,
			        5
			    ],
			    [
			        1745064542.5939593,
			        20,
			        2,
			        10
			    ],
			    [
			        1745064543.4125128,
			        20,
			        2,
			        10
			    ],
			    [
			        1745064553.9803042,
			        20,
			        1,
			        5
			    ],
			    [
			        1745064554.1595128,
			        20,
			        1,
			        5
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1744997249,
			        636.57421875,
			        14
			    ],
			    [
			        1744997249,
			        636.578125,
			        12.4
			    ],
			    [
			        1744997249,
			        636.578125,
			        11.9
			    ],
			    [
			        1744997249,
			        636.578125,
			        11.5
			    ],
			    [
			        1744997249,
			        636.578125,
			        14
			    ],
			    [
			        1744997249,
			        636.578125,
			        10.6
			    ],
			    [
			        1744997249,
			        636.578125,
			        14.6
			    ],
			    [
			        1744997721,
			        689.40234375,
			        19.3
			    ],
			    [
			        1744997721,
			        689.40234375,
			        17
			    ],
			    [
			        1744997721,
			        689.40234375,
			        17.4
			    ],
			    [
			        1744997721,
			        689.40234375,
			        21.5
			    ],
			    [
			        1745005623,
			        910.75390625,
			        29.8
			    ],
			    [
			        1745005623,
			        910.75390625,
			        32
			    ],
			    [
			        1745005623,
			        910.75390625,
			        31.7
			    ],
			    [
			        1745005623,
			        910.75390625,
			        35.4
			    ],
			    [
			        1745016445,
			        963.00390625,
			        31.7
			    ],
			    [
			        1745016445,
			        963.00390625,
			        32.1
			    ],
			    [
			        1745016445,
			        963.00390625,
			        31.1
			    ],
			    [
			        1745016445,
			        963.00390625,
			        29.5
			    ],
			    [
			        1745028927,
			        941.76171875,
			        31.8
			    ],
			    [
			        1745028927,
			        941.76171875,
			        33.5
			    ],
			    [
			        1745028927,
			        941.76171875,
			        32.5
			    ],
			    [
			        1745028927,
			        941.76171875,
			        39.4
			    ],
			    [
			        1745045362,
			        992.27734375,
			        31.3
			    ],
			    [
			        1745045362,
			        992.27734375,
			        30.1
			    ],
			    [
			        1745045362,
			        992.27734375,
			        29.8
			    ],
			    [
			        1745045362,
			        992.27734375,
			        33.3
			    ],
			    [
			        1745064561,
			        1033.12109375,
			        31.7
			    ],
			    [
			        1745064561,
			        1033.12109375,
			        31.2
			    ],
			    [
			        1745064561,
			        1033.12109375,
			        29.6
			    ],
			    [
			        1745064561,
			        1033.12109375,
			        34.2
			    ]
			];
			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>940   </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>440   </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>6</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>51</td>
			<td>564</td>
			<td>2</td>
			<td>617</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_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2892,4779,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.057177041456103326610982406919,21,6
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,512,2230,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.935964338023215547401889580215,98,6
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,1774,2808,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.583302043125033420345459944656,40,6
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4160,181,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.456665795285254694224619242959,66,6
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,4912,3319,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.230650898957625027918538762606,27,6
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2291,926,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.856051108589395925996257119550,54,6
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1050,4113,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.632033514762297299327542532410,9,6
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,7.000000000000000000000000000000,3663,1642,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.251994951715692860894080240541,85,6
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3172,2930,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.414033659057691683091917411730,33,6
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,9.000000000000000000000000000000,867,381,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.532385972587391731458694721368,63,6
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,8.000000000000000000000000000000,2122,4661,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.947408031778410042456073369976,2,6
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,4427,2034,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.076904684392735359055315313981,81,6
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4008,3921,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.365300291322171677421692947973,14,6
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,9.000000000000000000000000000000,1310,1528,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.737054905187338627037263449893,94,6
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,77,3513,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.773932278178632304665995889081,46,6
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,8.000000000000000000000000000000,2771,1042,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.156816002856940028831189692937,75,6
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2560,3709,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.717177554139867390325946416851,96,6
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,259,1160,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.336404226994141963835716069298,23,6
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1520,3882,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.174537492046132697298688185583,65,6
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3827,1255,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.801152156328782449890013594995,42,6
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4619,4387,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.512502901643514641172316714801,53,6
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,1920,1994,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.385139503840357055874932257211,29,6
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,679,3047,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.094620453685522076803238178400,84,6
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3370,576,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.974629819039255385071385262563,11,6
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3543,4307,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.812595870532095476690415125631,58,6
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1160,1759,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.194265140559524290830850645762,37,6
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2414,3280,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.293772111214697373426929516427,76,6
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4798,653,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.666261489178985311099268074031,6,6
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,9.000000000000000000000000000000,4262,2536,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.892510997923091076167168012034,89,6
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,1643,143,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.020785581750795246308571861960,18,6
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21,6
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,127,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17,6
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4387,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,93,6
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4666,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,99,6
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.897137132176098028857325061836,35,6
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,6
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
38,38_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,6
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,96,6
40,40_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,892,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2535,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72,6
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
45,45_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,6
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2418,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,48,6
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4500,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40,6
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23,6
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1122,3537,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34,6
51,51_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29,6
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3202,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,408,4552,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,57,6
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,4832,295,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.672347920562577083813948775060,1,6
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3661,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,27,6
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68,6
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1113,4532,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,83,6
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2926,2771,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67,6
62,62_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41,6
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2736,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,79,6
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4190,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,38,6
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2864,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,75,6
66,66_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,6
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4719,4516,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,81,6
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73,6
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4602,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,79,6
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4272,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
71,71_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,6
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2663,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88,6
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,2414,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3789,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,68,6
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2929,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86,6
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2244,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,60,6
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,410,4747,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83,6
80,80_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41,6
81,81_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,42,6
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,82,6
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3793,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2570,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,6
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,6
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3359,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1955,3048,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,6
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1917,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75,6
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,200,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29,6
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,363,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,28,6
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30,6
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,352,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,6
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,207,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31,6
95,81_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,42,6
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31,6
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,2056,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34,6
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3620,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,6
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3756,129,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,6
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,450,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26,6
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,1051,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,6
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31,6
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44,6
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,648,361,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38,6
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3133,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,66,6
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,72,6
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61,6
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,163,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41,6
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1838,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25,6
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,729,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25,6
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2410,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,13,6
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,6
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,725,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24,6
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,96,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17,6
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2967,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,65,6
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55,6
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49,6
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3486,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,6
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1751,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3752,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1759,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,1753,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,2484,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4129,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1,3291,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1824,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1985,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,5000,2473,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2332,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,1785,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1612,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1344,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1854,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,3793,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4352,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2199,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1554,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3963,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
148,148_0,FAILED,BoTorch,GenerationStep_1,,,4873,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,3403,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4130,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2342,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3774,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4069,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4018,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,2154,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4497,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4148,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1747,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4659,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2610,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2055,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2137,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4325,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1463,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4042,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4269,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3146,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4440,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3947,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1885,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4219,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2044,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3562,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2097,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3557,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,898,4156,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,34,1987,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3782,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4392,4362,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,5000,910,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4765,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,18.000000000000000000000000000000,273,1496,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,187,890,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4724,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,910,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,19.000000000000000000000000000000,1206,1477,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,5000,2085,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,914,2092,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,2144,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,1,4185,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1805,915,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,895,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,5000,2014,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2696,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4697,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4775,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,1,2077,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1,2750,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1,2223,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,1,681,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3381,4724,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,917,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,4047,2679,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,2046,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1,869,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
206,40_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,4923,4194,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1857,2666,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4755,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,931,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60,6
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,35,2092,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39,6
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46,6
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3724,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86,6
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,1903,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,54,6
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,4155,1880,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,57,6
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3393,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,61,6
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,876,849,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72,6
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2211,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31,6
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,1128,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,59,6
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1762,4426,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,80,6
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1825,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,57,6
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,794,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,58,6
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,47,6
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3429,1807,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56,6
225,225_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,61,6
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1564,2159,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33,6
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1060,2218,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28,6
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4986,296,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21,6
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,775,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48,6
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1002,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,65,6
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3754,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86,6
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48,6
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,1997,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44,6
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,220,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23,6
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,1756,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56,6
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,2626,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,6
237,237_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68,6
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,2296,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31,6
239,239_0,FAILED,BoTorch,GenerationStep_1,,,1795,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,67,6
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,44,3669,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,6
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4543,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,6
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3720,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39,6
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3638,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,6
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4216,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,25,6
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,85,6
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1557,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,83,6
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,545,3760,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41,6
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3036,2382,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49,6
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,160,3629,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44,6
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4340,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33,6
251,251_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,70,6
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3312,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,13,6
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2870,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,6
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,245,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,6
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1808,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,6
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3743,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,57,6
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4640,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17,6
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,179,4406,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,32,6
259,259_0,FAILED,BoTorch,GenerationStep_1,,,1268,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
260,260_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,67,6
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3934,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50,6
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1402,3655,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,81,6
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4324,3714,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38,6
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1884,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57,6
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3839,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31,6
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,623,1875,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,56,6
267,267_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,6
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4268,4531,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20,6
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3822,2077,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,83,6
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4539,4516,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,6
271,271_0,FAILED,BoTorch,GenerationStep_1,,,2890,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,6
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4285,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,59,6
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1443,1356,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,747,3397,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,76,6
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4023,3500,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29,6
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3381,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77,6
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3126,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,83,6
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,482,581,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,74,6
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3457,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,78,6
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4903,4719,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,73,6
281,281_0,FAILED,BoTorch,GenerationStep_1,,,3522,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,66,6
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4309,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,77,6
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4035,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,84,6
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2040,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20,6
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4978,4651,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21,6
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4800,4465,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,74,6
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2138,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,56,6
288,288_0,FAILED,BoTorch,GenerationStep_1,,,42,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62,6
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2987,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
290,290_0,FAILED,BoTorch,GenerationStep_1,,,3040,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,80,6
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4890,3922,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,93,6
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4613,2024,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,22,6
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3905,2690,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26,6
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2379,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,80,6
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1542,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73,6
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3619,2033,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62,6
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1620,902,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,71,3351,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,79,6
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3926,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,66,6
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,1105,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,27,6
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1468,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,6
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4966,1200,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,6
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1956,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,91,6
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4578,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44,6
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,205,1768,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,10,6
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4436,4184,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,89,6
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4537,4171,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89,6
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1128,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,28,6
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,1684,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13,6
310,310_0,FAILED,BoTorch,GenerationStep_1,,,284,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,59,6
311,311_0,FAILED,BoTorch,GenerationStep_1,,,3933,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58,6
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4591,4195,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,88,6
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,760,924,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,6
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,1574,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,28,6
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4894,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45,6
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,6
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,1248,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26,6
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1400,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,14,6
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2895,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4263,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45,6
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4677,1561,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,84,6
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1024,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,45,6
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,625,1555,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,10,6
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1652,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42,6
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3814,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23,6
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28,6
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4642,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41,6
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,842,4436,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,66,6
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1530,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24,6
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,982,3368,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,6
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4593,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24,6
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,249,2642,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,6
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4337,2744,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,6
334,334_0,FAILED,BoTorch,GenerationStep_1,,,551,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62,6
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,324,4399,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26,6
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2375,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49,6
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,16,6
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1516,2902,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,6
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4707,4268,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28,6
340,340_0,FAILED,BoTorch,GenerationStep_1,,,670,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,61,6
341,341_0,FAILED,BoTorch,GenerationStep_1,,,466,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56,6
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4965,4324,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,6
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1208,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,6
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3489,1616,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,6
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3001,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26,6
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,232,2776,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,33,6
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2328,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48,6
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,2676,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32,6
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4022,4123,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,6
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,6
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4944,2714,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49,6
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4389,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,28,6
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3011,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,6
354,354_0,FAILED,BoTorch,GenerationStep_1,,,1652,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63,6
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2310,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,89,6
356,356_0,FAILED,BoTorch,GenerationStep_1,,,531,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,53,6
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4242,3771,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,11,6
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2949,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50,6
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,89,6
360,360_0,FAILED,BoTorch,GenerationStep_1,,,2921,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,66,6
361,361_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62,6
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4115,3985,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72,6
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3872,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33,6
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2126,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,11,6
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,681,1431,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.450472131028231914662285362283,40,6
366,366_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58,6
367,367_0,FAILED,BoTorch,GenerationStep_1,,,4681,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72,6
368,368_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,65,6
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,77,6
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,18.000000000000000000000000000000,4316,85,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73,6
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1265,2127,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,6
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,16.000000000000000000000000000000,179,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17,6
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,488,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61,6
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4786,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19,6
375,375_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,6
376,376_0,FAILED,BoTorch,GenerationStep_1,,,1315,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62,6
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,13.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,6
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,2104,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,71,6
379,379_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,6
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3670,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4585,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,42,6
382,382_0,FAILED,BoTorch,GenerationStep_1,,,673,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.007909545341314468472337928517,73,6
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32,6
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,2082,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,6
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,811,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,9,6
386,386_0,FAILED,BoTorch,GenerationStep_1,,,642,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,69,6
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,125,3392,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26,6
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,83,6
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4055,3584,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.597205403851718941155013453681,26,6
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,596,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,28,6
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4376,601,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28,6
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1229,624,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,6
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4438,627,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30,6
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,606,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,28,6
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4580,608,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,6
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,469,609,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30,6
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,395,617,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,6
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,612,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29,6
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,91,627,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25,6
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,610,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23,6
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,609,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,24,6
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,722,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,54,6
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4906,605,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,6
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,647,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30,6
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,599,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29,6
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4937,595,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33,6
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4722,725,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,53,6
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,1,604,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49,6
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4956,590,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31,6
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4743,669,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,6
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,131,4816,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,34,6
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,156,745,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,53,6
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,559,629,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,26,6
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4282,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68,6
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,587,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,6
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3205,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4542,4308,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,6
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3617,3329,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,95,6
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4585,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62,6
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4825,1353,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,63,6
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,13,3775,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,50,6
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,825,1235,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,65,6
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,1,1581,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43,6
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3212,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,94,6
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1679,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29,6
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,991,1306,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64,6
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4011,1146,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78,6
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3230,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,92,6
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1324,4066,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,54,6
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1514,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,70,6
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4424,4547,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,89,6
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4113,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,6
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4252,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,6
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2718,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,32,6
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3114,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89,6
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3392,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3243,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,6
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1749,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26,6
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2322,3231,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3310,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2991,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38,6
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1599,2987,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14,6
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4499,1649,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37,6
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,1372,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,61,6
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1552,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,6
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1104,3009,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33,6
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2458,2970,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,38,6
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4625,4061,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,81,6
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3979,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,58,6
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1838,2708,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62,6
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1055,1962,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,51,6
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4805,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32,6
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4722,3408,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.958698751913006796954164201452,50,6
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1389,4777,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83,6
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1337,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,84,6
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,821,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19,6
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,2866,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49,6
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,429,4154,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41,6
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2220,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20,6
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4718,4035,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27,6
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,1991,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,49,6
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1148,2859,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,64,6
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4640,4121,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,57,6
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4061,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2969,2803,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63,6
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,1774,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,2654,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,60,6
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2524,4776,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,92,6
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1507,3178,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,67,6
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,15,1868,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,10,6
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1243,3299,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49,6
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1479,2003,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,6
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3047,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51,6
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1210,1823,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,89,6
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4562,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,6
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,170,4708,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,84,6
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,275,1511,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,46,6
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3928,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4226,2876,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19,6
480,480_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,4355,1352,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.024445236347615719590953275997,5,6
481,481_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,1764,4932,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.609551167299970941826359194238,86,6
482,482_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,461,954,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.887737970231100903539811497467,35,6
483,483_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2875,2686,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.474412749817594903145590023996,54,6
484,484_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3448,126,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.130160403547808528612605982744,44,6
485,485_0,FAILED,Sobol,SOBOL,,,1020,3748,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.730919985404238081727612552640,63,6
486,486_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2381,2258,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.766429113445803555926261196873,14,6
487,487_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,12.000000000000000000000000000000,4949,3949,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.368637622227892258752746101891,96,6
488,488_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,4602,842,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.382418588900938605235069189803,40,6
489,489_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2172,2865,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.982626101301983023716957177385,71,6
490,490_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,684,1854,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.518039076352492022792262105213,22,6
491,491_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,3248,4519,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.120799565361812716313139048907,91,6
492,492_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2616,2038,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.277617118919268268673050670259,13,6
493,493_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,11.000000000000000000000000000000,27,4102,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.862292805658653405131985891785,81,6
494,494_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,1495,581,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.638434236848726910373841292312,30,6
495,495_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3911,3204,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.225539170490577811634125282580,61,6
496,496_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,3847,386,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.828833672130480425543908040709,83,6
497,497_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,9.000000000000000000000000000000,1257,3321,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.306111360060051074238884893930,1,6
498,498_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,264,1998,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.192747701490297906889992418655,51,6
499,499_0,RUNNING,Sobol,SOBOL,,,2681,4375,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.668454636322334372344755593076,32,6
500,500_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,11.000000000000000000000000000000,3333,1580,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.950203501487150825610683568812,67,6
501,501_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,901,4558,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.411825515078380721689654819784,48,6
502,502_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,23.000000000000000000000000000000,1953,725,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.086971681619063018198190206931,98,6
503,503_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,4518,3060,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.547146671818569352296890428988,17,6
504,504_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,4717,2454,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.700960513887926905951530898164,75,6
505,505_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2290,3832,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.163134596934542047685923193967,43,6
506,506_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,38.000000000000000000000000000000,1113,164,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.340082482872530844630887258973,94,6
507,507_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3679,3474,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.799705492844805077012892979837,25,6
508,508_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,2788,4034,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39,6
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,125,265,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43,6
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,9.000000000000000000000000000000,3970,2192,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,6
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,447,3450,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77,6
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,1,2497,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54,6
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.368808509205499068794864570009,1,6
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,2848,3268,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37,6
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,142,3629,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15,6
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4934,1754,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,35,6
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,12.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,2889,1557,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63,6
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4521,1453,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,60,6
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,3809,2449,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.502276837733803716012914719613,100,6
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,408,452,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,63,6
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1190,4613,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,5,6
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1,3262,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,43,6
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,2323,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23,6
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,2257,2648,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44,6
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,6
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1079,3009,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,93,6
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4909,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57,6
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4938,4257,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,67,6
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4123,1616,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22,6
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,779,3188,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,74,6
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4323,2472,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,6
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,3851,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49,6
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,2864,1097,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,87,6
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1815,4141,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19,6
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4937,3845,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,98,6
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,2704,4503,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28,6
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,6
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,4716,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37,6
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,2678,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,6
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,10.000000000000000000000000000000,5000,1513,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31,6
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,4.000000000000000000000000000000,3197,4600,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,6
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,3494,823,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17,6
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,2163,4532,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,6
549,549_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2218,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,6
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,3460,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23,6
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,325,514,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23,6
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,3958,3273,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,7,6
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,4.000000000000000000000000000000,1996,3277,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,7,6
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4312,4861,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,75,6
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,238,4647,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,87,6
556,556_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1090,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,6
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,3514,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,98,6
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1522,3876,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19,6
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1,1830,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42,6
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,4782,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,97,6
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,4738,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41,6
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4921,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,72,6
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,3899,3597,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,55,6
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,635,1988,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,6,6
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,13.000000000000000000000000000000,723,2825,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,90,6
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31,6
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,3240,502,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12,6
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4440,1977,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,6
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1,3911,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,3943,3790,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,79,6
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,4761,3974,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,2119,4196,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,6
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1089,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75,6
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,29,4787,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.241042639166509059522880420445,90,6
575,575_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30,6
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,3362,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3712,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,69,6
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,2028,3287,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,6
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1,3648,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,63,6
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1,3683,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,88,6
581,581_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1584,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,35,6
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4350,4340,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,88,6
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,9.000000000000000000000000000000,1,1447,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1294,4657,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44,6
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1072,4991,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24,6
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,89,6
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,654,1871,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,92,6
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1,4700,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,66,6
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,3540,4350,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25,6
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,915,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55,6
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1884,4962,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,35,6
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,12,2650,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,6
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,1617,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,28,6
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4969,4618,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62,6
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2874,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,284,2010,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24,6
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,4687,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,12,6
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,511,4682,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,51,6
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4540,3907,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,78,6
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4230,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,6
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,3072,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
602,602_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,6
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,1756,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,6
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,2172,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,6
605,605_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,36,6
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4264,2543,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,6
607,607_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4959,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33,6
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1,2048,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13,6
609,609_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22,6
610,610_0,FAILED,BoTorch,BOTORCH_MODULAR,,,244,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34,6
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,6
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1535,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,6
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4506,960,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,53,6
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4885,3142,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72,6
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,3345,4107,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49,6
616,616_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,72,6
</pre>
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			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
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			<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">Job SlurmJob&lt;job_id=4544140, task_id=0, state=&quot;NODE_FAIL&quot;&gt;, state not in &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;, &#039;interrupted&#039;], which would be removed from the job list, or &#039;completed&#039;, &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;, &#039;out_of_memory&#039;], which would be ignored: node_fail


⚠ Job 4544140 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4544140/4544140_0_result.pkl
has not produced any output (state: NODE_FAIL)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4544140/4544140_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4544140/4544140_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4544140/4544140_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569247/4569247_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572509/4572509_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577556/4577556_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582758/4582758_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585988/4585988_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597114/4597114_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4598664/4598664_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4599822/4599822_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4600916/4600916_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_6_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601427/4601427_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_TMDBalanced5s_ft_6_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>
<pre id="pre_tab_worker_usage">1744997249.1607666,20,0,0
1744997257.9692874,20,0,0
1744997258.8543928,20,0,0
1744997259.030379,20,0,0
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1744997265.8114798,20,1,5
1744997266.5407002,20,1,5
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1744997269.2652397,20,2,10
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1744997277.0014296,20,2,10
1744997277.1716442,20,2,10
1744997278.5283744,20,3,15
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1744997288.6189766,20,3,15
1744997289.9985778,20,4,20
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1744997303.8806057,20,5,25
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1744997318.3086414,20,5,25
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1744997319.9682846,20,6,30
1744997336.781514,20,6,30
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1744997340.0827837,20,7,35
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1744997360.5097284,20,8,40
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1745026106.1280766,20,1,5
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1745026788.095888,20,1,5
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1745027459.058282,20,2,10
1745027470.0119889,20,1,5
1745027470.1025586,20,1,5
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1745028279.1726744,20,2,10
1745028280.0293279,20,2,10
1745028289.7084196,20,1,5
1745028289.8101842,20,1,5
1745028907.3332093,20,1,5
1745028908.020931,20,1,5
1745028909.535563,20,2,10
1745028910.317384,20,2,10
1745028920.8500407,20,1,5
1745028921.022625,20,1,5
1745028928.1213393,20,1,5
1745028939.282406,20,1,5
1745028950.5176368,20,1,5
1745028956.3365407,20,1,5
1745028963.003316,20,0,0
1745028974.893479,20,0,0
1745029816.7703414,20,0,0
1745029817.0281706,20,0,0
1745029819.495565,20,1,5
1745029825.2022932,20,1,5
1745030622.094736,20,1,5
1745030622.5176425,20,1,5
1745030624.1655865,20,2,10
1745030624.9678326,20,2,10
1745030634.8442304,20,1,5
1745030635.053581,20,1,5
1745031339.1575232,20,1,5
1745031339.5614526,20,1,5
1745031341.2208652,20,2,10
1745031342.0547972,20,2,10
1745031352.4046187,20,1,5
1745031352.4946654,20,1,5
1745032013.990952,20,1,5
1745032014.276029,20,1,5
1745032015.9359856,20,2,10
1745032016.4643629,20,2,10
1745032027.3219776,20,1,5
1745032027.3828979,20,1,5
1745032592.0271862,20,1,5
1745032592.3278651,20,1,5
1745032594.074086,20,2,10
1745032594.579172,20,2,10
1745032604.5510352,20,1,5
1745032604.6224995,20,1,5
1745033189.6944637,20,1,5
1745033189.9844642,20,1,5
1745033191.4276054,20,2,10
1745033192.0140655,20,2,10
1745033201.5111682,20,1,5
1745033201.5805357,20,1,5
1745033834.6599858,20,1,5
1745033835.117539,20,1,5
1745033836.6449533,20,2,10
1745033837.477968,20,2,10
1745033848.4321656,20,1,5
1745033848.5249393,20,1,5
1745034856.5452783,20,1,5
1745034857.1132922,20,1,5
1745034858.6433446,20,2,10
1745034859.1037066,20,2,10
1745034869.5400317,20,1,5
1745034869.6167185,20,1,5
1745035740.3617835,20,1,5
1745035741.0507157,20,1,5
1745035743.161805,20,2,10
1745035743.9829774,20,2,10
1745035753.9476693,20,1,5
1745035754.148437,20,1,5
1745036728.0045724,20,1,5
1745036728.3967242,20,1,5
1745036730.174996,20,2,10
1745036730.9779143,20,2,10
1745036741.0587425,20,1,5
1745036741.2657897,20,1,5
1745037452.3887699,20,1,5
1745037453.0743458,20,1,5
1745037454.624535,20,2,10
1745037455.456478,20,2,10
1745037465.4383905,20,1,5
1745037465.5292625,20,1,5
1745038260.0113084,20,1,5
1745038260.4200368,20,1,5
1745038262.1443052,20,2,10
1745038262.9847348,20,2,10
1745038273.6167464,20,1,5
1745038273.7014155,20,1,5
1745039225.9072647,20,1,5
1745039226.321238,20,1,5
1745039228.159714,20,2,10
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1745039238.9529831,20,1,5
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1745040976.4433048,20,1,5
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1745040990.3412755,20,1,5
1745040990.4332676,20,1,5
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1745041939.1775444,20,2,10
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1745041949.9334211,20,1,5
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1745042810.7065625,20,1,5
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1745042824.574226,20,1,5
1745042824.6496778,20,1,5
1745043483.5373173,20,1,5
1745043484.1035163,20,1,5
1745043485.662026,20,2,10
1745043486.4992473,20,2,10
1745043496.687228,20,1,5
1745043496.7823207,20,1,5
1745044049.6993072,20,1,5
1745044050.116443,20,1,5
1745044051.743781,20,2,10
1745044052.5989213,20,2,10
1745044062.721392,20,1,5
1745044062.819713,20,1,5
1745045341.3588903,20,1,5
1745045342.102646,20,1,5
1745045343.6918137,20,2,10
1745045344.507487,20,2,10
1745045354.7883675,20,1,5
1745045354.9135182,20,1,5
1745045362.358218,20,1,5
1745045372.6702487,20,1,5
1745045384.0398545,20,1,5
1745045389.7911215,20,1,5
1745045396.7137926,20,0,0
1745045412.785502,20,0,0
1745046311.7422829,20,0,0
1745046312.0464807,20,0,0
1745046313.5839767,20,1,5
1745046320.1386366,20,1,5
1745047121.8524697,20,1,5
1745047122.2512574,20,1,5
1745047124.080263,20,2,10
1745047124.9583633,20,2,10
1745047135.0395925,20,1,5
1745047135.1321476,20,1,5
1745047997.6477757,20,1,5
1745047998.1029172,20,1,5
1745048000.738967,20,2,10
1745048001.1992786,20,2,10
1745048012.3952076,20,1,5
1745048012.4961097,20,1,5
1745048737.387177,20,1,5
1745048738.063988,20,1,5
1745048740.6320398,20,2,10
1745048741.4332879,20,2,10
1745048752.3502133,20,1,5
1745048752.4432607,20,1,5
1745049699.1562846,20,1,5
1745049699.5817935,20,1,5
1745049701.2042859,20,2,10
1745049702.041793,20,2,10
1745049713.3993082,20,1,5
1745049713.4991038,20,1,5
1745050605.1674452,20,1,5
1745050605.5887263,20,1,5
1745050607.154714,20,2,10
1745050608.0081325,20,2,10
1745050619.185216,20,1,5
1745050619.2749743,20,1,5
1745052109.1483293,20,1,5
1745052109.5615618,20,1,5
1745052111.1734123,20,2,10
1745052112.0235686,20,2,10
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1745053099.0774224,20,1,5
1745053099.4875894,20,1,5
1745053101.1568754,20,2,10
1745053101.9692466,20,2,10
1745053112.5431705,20,1,5
1745053112.6280885,20,1,5
1745054119.215866,20,1,5
1745054120.7452426,20,1,5
1745054122.2738812,20,2,10
1745054123.1011298,20,2,10
1745054133.6260486,20,1,5
1745054133.7231357,20,1,5
1745055124.4216216,20,1,5
1745055125.1026986,20,1,5
1745055126.6799073,20,2,10
1745055127.5154068,20,2,10
1745055138.1908364,20,1,5
1745055138.3136423,20,1,5
1745055922.5527608,20,1,5
1745055923.1067307,20,1,5
1745055924.778646,20,2,10
1745055925.6414278,20,2,10
1745055936.1124167,20,1,5
1745055936.2067668,20,1,5
1745057006.8985498,20,1,5
1745057007.3234642,20,1,5
1745057009.1766722,20,2,10
1745057010.0159411,20,2,10
1745057020.523382,20,1,5
1745057020.907334,20,1,5
1745057896.8879883,20,1,5
1745057897.1889467,20,1,5
1745057898.706899,20,2,10
1745057899.2233458,20,2,10
1745057908.5545902,20,1,5
1745057908.6238718,20,1,5
1745058665.6573083,20,1,5
1745058665.9800608,20,1,5
1745058667.3743024,20,2,10
1745058667.8821328,20,2,10
1745058677.5270576,20,1,5
1745058677.856411,20,1,5
1745059567.6196363,20,1,5
1745059567.9739377,20,1,5
1745059569.3927314,20,2,10
1745059569.9051232,20,2,10
1745059581.8158078,20,1,5
1745059581.989674,20,1,5
1745060481.1313818,20,1,5
1745060481.536009,20,1,5
1745060483.3290672,20,2,10
1745060484.1738052,20,2,10
1745060494.939834,20,1,5
1745060495.0295212,20,1,5
1745061589.4909801,20,1,5
1745061590.1185725,20,1,5
1745061591.6093326,20,2,10
1745061592.4293156,20,2,10
1745061603.4551542,20,1,5
1745061603.5403259,20,1,5
1745062645.7281382,20,1,5
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1745062659.3568192,20,1,5
1745062659.4516952,20,1,5
1745063555.222896,20,1,5
1745063555.6509116,20,1,5
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1745063558.0214849,20,2,10
1745063568.7939868,20,1,5
1745063568.8915036,20,1,5
1745064540.6962337,20,1,5
1745064541.116125,20,1,5
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1745064554.1595128,20,1,5
</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
1744997249,636.57421875,14.0
1744997249,636.578125,12.4
1744997249,636.578125,11.9
1744997249,636.578125,11.5
1744997249,636.578125,14.0
1744997249,636.578125,10.6
1744997249,636.578125,14.6
1744997721,689.40234375,19.3
1744997721,689.40234375,17.0
1744997721,689.40234375,17.4
1744997721,689.40234375,21.5
1745005623,910.75390625,29.8
1745005623,910.75390625,32.0
1745005623,910.75390625,31.7
1745005623,910.75390625,35.4
1745016445,963.00390625,31.7
1745016445,963.00390625,32.1
1745016445,963.00390625,31.1
1745016445,963.00390625,29.5
1745028927,941.76171875,31.8
1745028927,941.76171875,33.5
1745028927,941.76171875,32.5
1745028927,941.76171875,39.4
1745045362,992.27734375,31.3
1745045362,992.27734375,30.1
1745045362,992.27734375,29.8
1745045362,992.27734375,33.3
1745064561,1033.12109375,31.7
1745064561,1033.12109375,31.2
1745064561,1033.12109375,29.6
1745064561,1033.12109375,34.2
</pre><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>
			
			<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>
	</body>
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