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_0,0.200000000000000011102230246252,4.000000000000000000000000000000,4755,3169,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.927733533501625018402592104394,29,16
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,7.000000000000000000000000000000,1537,2011,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.376069043807685354785519393772,73,16
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1200,4408,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.103232348861172801290919665007,25,16
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,8.000000000000000000000000000000,2514,732,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.592413053635507780292357438157,80,16
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3202,4026,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.775487707993015695784322360851,7,16
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.330000000000000015543122344752,6.000000000000000000000000000000,591,213,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.293982221208512806143176021578,89,16
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2148,2764,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.192690100999549029925361764981,41,16
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4066,1431,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.736435130152851336049479868961,59,16
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3979,4767,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.510418546855449628552037211193,6,16
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,11.000000000000000000000000000000,2314,954,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.059994276328012345611551126012,100,16
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,112,3585,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.457808439861983051955007795186,49,16
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,6.000000000000000000000000000000,3602,2252,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.970259685272350957951914551813,54,16
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3032,2974,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.662740536957979187171474677598,33,16
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,761,1817,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.142126783741638063052192819669,65,16
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,1664,4290,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.368426829081028694989896621337,14,16
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.270000000000000017763568394003,6.000000000000000000000000000000,4550,614,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.826283293569460508543045307306,82,16
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,7.000000000000000000000000000000,4464,4175,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.157142006279900658949344460780,71,16
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.309999999999999997779553950750,6.000000000000000000000000000000,1745,342,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.646202490989118860653661613469,26,16
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,6.000000000000000000000000000000,832,2933,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.872485536506399483869245159440,77,16
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2956,1620,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.320701755277812472488818684724,22,16
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3518,3625,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.013182240756228567196695067310,92,16
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,192,2448,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.556804194543510710957434639568,10,16
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2384,4884,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.954635621866211314667793885747,62,16
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3903,1227,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.473006107948720444511536697973,44,16
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,11.000000000000000000000000000000,4304,2571,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.278175124835222942198953433035,97,16
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1906,1394,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.790746590310707708759707657009,2,16
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,358,3751,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.689441005945205742655446101708,51,16
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.340000000000000024424906541753,5.000000000000000000000000000000,3430,93,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.239136003715917477840946503420,45,16
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2750,4682,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.422211031716316964601531935841,69,16
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.230000000000000009992007221626,6.000000000000000000000000000000,959,849,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.880190571570768964804187817208,37,16
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,4532,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,5,16
31,31_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3013,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,74,16
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,5.000000000000000000000000000000,4970,100,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,9,16
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,9.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,162.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42,16
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2556,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,77,16
39,39_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,9.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,133,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62,16
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,9.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,4692,506,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64,16
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,8.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
46,46_0,FAILED,BoTorch,GenerationStep_1,,,291,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18,16
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,2269,599,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,3,16
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,69,16
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,79,16
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24,16
53,53_0,FAILED,BoTorch,GenerationStep_1,,,3386,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,24.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20,16
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3861,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,60,16
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,5.000000000000000000000000000000,5000,368,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,9,16
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
58,58_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,16
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,1,904,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,918,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,35,16
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,1713,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,12,16
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,17.000000000000000000000000000000,1815,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,16
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,939,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,16
64,64_0,FAILED,BoTorch,GenerationStep_1,,,3939,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,99,16
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,2716,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49,16
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,314,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,16
67,67_0,FAILED,BoTorch,GenerationStep_1,,,4246,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,87,16
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,2986.000000000000000000000000000000,4541,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,90,16
69,69_0,FAILED,BoTorch,GenerationStep_1,,,4425,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,12.000000000000000000000000000000,1598,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,16
71,71_0,FAILED,BoTorch,GenerationStep_1,,,4489,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,16
72,72_0,FAILED,BoTorch,GenerationStep_1,,,1717,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,97,16
73,73_0,FAILED,BoTorch,GenerationStep_1,,,4504,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2119,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,108.000000000000000000000000000000,2383,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.757775604364405941382187847921,38,16
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4350,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,30,16
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,5.000000000000000000000000000000,4900,33,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,25,16
78,78_0,FAILED,BoTorch,GenerationStep_1,,,4334,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,84,16
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,34.000000000000000000000000000000,1570,35,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,81,16
80,80_0,FAILED,BoTorch,GenerationStep_1,,,4472,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,2216,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54,16
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,2812.000000000000000000000000000000,1622,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,90,16
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1061.000000000000000000000000000000,4950,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,16
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,19.000000000000000000000000000000,816,306,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,95,16
85,85_0,FAILED,BoTorch,GenerationStep_1,,,4147,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63,16
86,86_0,FAILED,BoTorch,GenerationStep_1,,,701,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62,16
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
88,88_0,FAILED,BoTorch,GenerationStep_1,,,1539,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
89,89_0,FAILED,BoTorch,GenerationStep_1,,,2474,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18,16
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,7.000000000000000000000000000000,4167,100,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.059623794020565869244965284679,1,16
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,9.000000000000000000000000000000,1842,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.210451094329984933484212206167,1,16
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,683,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.765879684285266759680155246315,100,16
93,93_0,FAILED,BoTorch,GenerationStep_1,,,3426,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
94,94_0,FAILED,BoTorch,GenerationStep_1,,,133,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.624735868721682185977783774433,1,16
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,6.000000000000000000000000000000,2523,51,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.417077177470043192197834969193,1,16
96,96_0,RUNNING,BoTorch,GenerationStep_1,,,4098,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.478584090499038161681255587609,100,16
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,9.000000000000000000000000000000,4392,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.300190148204168449908024740580,1,16
98,98_0,FAILED,BoTorch,GenerationStep_1,,,4347,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
99,99_0,FAILED,BoTorch,GenerationStep_1,,,4592,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.739149295608710232841076503973,100,16
100,100_0,FAILED,BoTorch,GenerationStep_1,,,4365,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.463605326316199606306867053718,1,16
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,12.000000000000000000000000000000,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,7.000000000000000000000000000000,2108,199,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.560917930978553136434072712291,1,16
104,104_0,FAILED,BoTorch,GenerationStep_1,,,2954,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,8.000000000000000000000000000000,32,184,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.722061932465233646816216150910,1,16
106,31_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,8.000000000000000000000000000000,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,7.000000000000000000000000000000,2161,17,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.407791852700817858412563055026,1,16
109,109_0,FAILED,BoTorch,GenerationStep_1,,,3680,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,90,16
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3798,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.432680378587377401089497652720,100,16
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,9.000000000000000000000000000000,113,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.147978442559155820568150829786,1,16
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,48.000000000000000000000000000000,1303,187,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.837829886564884773747508006636,100,16
113,113_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,2533,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.667651367548111385197273648373,100,16
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,3121,285,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.618848194914385696385750179616,74,16
116,116_0,FAILED,BoTorch,GenerationStep_1,,,580,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.396194357307301070481031501913,100,16
117,117_0,FAILED,BoTorch,GenerationStep_1,,,4882,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.216980170487970552839485094410,1,16
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,7.000000000000000000000000000000,4398,31,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.322081057295662998019025735630,2,16
119,119_0,FAILED,BoTorch,GenerationStep_1,,,2434,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.509299235551419648970750131411,100,16
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,8.000000000000000000000000000000,1005,386,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60,16
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,503,98,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47,16
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,9.000000000000000000000000000000,834,611,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,16
123,123_0,FAILED,BoTorch,GenerationStep_1,,,4094,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,16
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,7.000000000000000000000000000000,1511,513,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,63,16
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,7.000000000000000000000000000000,1354,256,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54,16
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,177.000000000000000000000000000000,2829,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,43,16
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,10.000000000000000000000000000000,3875,755,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,82,16
128,128_0,FAILED,BoTorch,GenerationStep_1,,,38,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,54,16
129,129_0,FAILED,BoTorch,GenerationStep_1,,,1658,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,515,1044,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,85,16
131,131_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,3434,642,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,8.000000000000000000000000000000,875,690,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,69,16
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,160.000000000000000000000000000000,15,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,42,16
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,5.000000000000000000000000000000,4826,358,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,16
136,136_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2455,2079,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1,1773,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,1,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,4616,305,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5,16
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,6.000000000000000000000000000000,39,142,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,42,16
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,502,427,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,81,16
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3248,423,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,8.000000000000000000000000000000,693,445,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62,16
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3591,2531,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,23.000000000000000000000000000000,1656,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,22,16
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,196,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,36,16
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2961,963,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60,16
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3011,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,24.000000000000000000000000000000,1050,424,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,1508,140,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32,16
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,18.000000000000000000000000000000,4741,460,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,17.000000000000000000000000000000,3960,382,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89,16
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,6.000000000000000000000000000000,3972,629,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,6.000000000000000000000000000000,4800,708,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31,16
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,9.000000000000000000000000000000,377,221,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,66,16
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,643,360,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34,16
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,7.000000000000000000000000000000,2127,480,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.392637543310401682106203224976,51,16
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,972,709,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,35,16
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2192,676,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64,16
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2612,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,83,16
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,5.000000000000000000000000000000,186,116,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,16
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,23.000000000000000000000000000000,1,369,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,6.000000000000000000000000000000,4212,1083,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,2116,949,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,16
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,2918,469,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,6.000000000000000000000000000000,4732,764,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,1797,660,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,16
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,930,2222,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,8.000000000000000000000000000000,60,906,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,19.000000000000000000000000000000,1,488,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4430,2358,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,16
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,15.000000000000000000000000000000,807,434,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,92,16
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,2532,534,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.966234488237327271420440411021,32,16
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,8.000000000000000000000000000000,5000,1181,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,992,2501,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,83,16
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4439,2026,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,16
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2792,742,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,7,16
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,1149,834,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,43,16
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62,16
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,255,4915,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.269569256821909686294702623854,94,16
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,661,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,51,16
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4100,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47,16
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3104,4603,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.662032189998666198427201834420,93,16
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,358,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75,16
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,10.000000000000000000000000000000,4792,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,16
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,327,4931,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.002751455506560340422139709915,94,16
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4914,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,29,16
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,2225,4937,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.404100096516234574828274617175,93,16
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,4930,4320,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.954065827987186865222213327797,92,16
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,5.000000000000000000000000000000,1040,121,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49,16
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,2569,74,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,58,16
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,270,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,11,16
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4294,4976,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.270266336248279226417423615203,94,16
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,5.000000000000000000000000000000,3098,98,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53,16
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,169,151,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.535973689969557076651085480989,62,16
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2467,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15,16
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,2388,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,95,16
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,1425,4935,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.683137155792400418974352760415,92,16
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,4251,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,93,16
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,7,16
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,1854,3501,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,92,16
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,2256,178,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.279849233605497571542031209901,51,16
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3736,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,92,16
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4219,4542,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.752397619557109487153923055303,87,16
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4947,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31,16
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,4717,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50,16
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62,16
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,4495,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,91,16
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,7.000000000000000000000000000000,495,49,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.406389968681737212552462779058,32,16
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,1608,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,16
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3262,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.559809179440518556170047759224,65,16
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,443,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.434889424419486581019356208344,13,16
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,1881,135,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43,16
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,27,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,89,16
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,506,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,94,16
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,832.000000000000000000000000000000,362,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,66,16
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,74,16
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,2517,3254,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.411361934317560906659849706557,78,16
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3250,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54,16
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2112,1671,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.460128244339105096916142656482,13,16
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,388,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,600,2875,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77,16
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,3109,93,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.496184047717145471079192020625,14,16
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,226,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,42,16
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,570,189,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.506530539108280608573409153905,27,16
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,6.000000000000000000000000000000,43,26,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.498070872463876435087826166637,10,16
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,721,87,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,82,16
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,861,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.515576132994948310717120421032,20,16
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,961,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.310632272467595782483584798683,68,16
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4380,3108,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31,16
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4294,4317,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,16
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,2837,4135,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,94,16
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,4726,2474,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77,16
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,3976,22,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.328982817836086793850114418092,95,16
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2635,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89,16
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.506675429276403188616484385420,20,16
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3579,1739,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,16
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,10.000000000000000000000000000000,4416,284,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,72,16
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,8.000000000000000000000000000000,830,1402,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,6.000000000000000000000000000000,1835,442,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,3322,1363,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
244,244_0,FAILED,BoTorch,GenerationStep_1,,,3101,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,6.000000000000000000000000000000,4127,287,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,11,16
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,6.000000000000000000000000000000,4162,829,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,9.000000000000000000000000000000,676,2050,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4328,1059,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19,16
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4269,1555,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3927,1129,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,807,983,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
252,252_0,FAILED,BoTorch,GenerationStep_1,,,3056,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2207,593,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23,16
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4436,1826,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,2928,232,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
256,256_0,FAILED,BoTorch,GenerationStep_1,,,3945,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,57,16
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4638,1219,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26,16
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,3367,603,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,8.000000000000000000000000000000,354,2203,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4443,1388,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18,16
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2896,4169,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2432,3213,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,16
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,689,1519,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,16
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,374,3630,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,6.000000000000000000000000000000,2013,750,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,685,2655,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4968,3408,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.485171377199280551284488183228,1,16
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,643,1495,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35,16
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2582,1377,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,16
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,6.000000000000000000000000000000,4835,445,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,41,16
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,3114,2713,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
272,272_0,FAILED,BoTorch,GenerationStep_1,,,4986,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2007,727,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64,16
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,1588,614,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,32,231,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19,16
276,276_0,FAILED,BoTorch,GenerationStep_1,,,1466,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,304,3130,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,50,16
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,128,3004,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,1807,881,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74,16
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,1,3440,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,4137,3730,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,6.000000000000000000000000000000,1657,431,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,83,16
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,5.000000000000000000000000000000,952,358,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,54,16
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,912,2905,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,2193,3983,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,1074,158,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
287,287_0,FAILED,BoTorch,GenerationStep_1,,,93,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58,16
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2275,3467,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,50,16
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,1424,4673,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3913,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2974,3232,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,16
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1231,4049,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1280,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4878,3444,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4573,4707,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,16
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,8.000000000000000000000000000000,1841,1800,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1985,2258,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,6.000000000000000000000000000000,4569,430,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,24.000000000000000000000000000000,4288,378,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,5.000000000000000000000000000000,248,121,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,8,16
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,5.000000000000000000000000000000,1,70,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,5000,70,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,79,16
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,6.000000000000000000000000000000,1,56,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
304,304_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,5.000000000000000000000000000000,5000,83,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,5.000000000000000000000000000000,163,162,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,10,16
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,5.000000000000000000000000000000,85,96,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,5,16
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,117,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51,16
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,5.000000000000000000000000000000,7,52,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30,16
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,5000,119,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25,16
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,5.000000000000000000000000000000,4217,97,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,11,16
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,5000,120,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,87,16
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,78,16
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,1,44,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,3,16
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,5.000000000000000000000000000000,1,104,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,917,74,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,8,16
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,4800,36,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,16
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,4714,121,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14,16
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,5000,64,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,16
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,5000,114,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,16
321,321_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,1,36,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,5.000000000000000000000000000000,1,191,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,10,16
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,350,34,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68,16
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,7.000000000000000000000000000000,4983,129,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,53,16
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,1,31,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,309,142,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,7,16
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,5000,157,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23,16
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,6.000000000000000000000000000000,5000,44,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,84,16
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1445.000000000000000000000000000000,3696,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,16
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,2466,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,59,16
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4467,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,16
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1387.000000000000000000000000000000,3418,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,75,16
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4788,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48,16
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,43,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,38,16
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4943,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,67,16
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,10.000000000000000000000000000000,27,618,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,16
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4560,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,57,16
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2116,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.631851112729070130136221905559,40,16
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,73.000000000000000000000000000000,633,23,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,16
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,15.000000000000000000000000000000,4184,74,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,76,16
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1364.000000000000000000000000000000,382,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,16
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1672.000000000000000000000000000000,3363,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78,16
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,2989.000000000000000000000000000000,4933,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,90,16
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1430.000000000000000000000000000000,4574,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,16
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,35,16
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,491,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,16
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4955,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73,16
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39,16
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2745,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74,16
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3395,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.689511896172229299395439738873,58,16
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1454.000000000000000000000000000000,4962,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,16
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1506.000000000000000000000000000000,1006,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,76,16
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,748.000000000000000000000000000000,326,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64,16
355,355_0,RUNNING,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4807,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,69,16
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1599.000000000000000000000000000000,1098,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78,16
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48,16
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,16
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,20.000000000000000000000000000000,246,107,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,22.000000000000000000000000000000,1324,84,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,17.000000000000000000000000000000,556,131,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,16.000000000000000000000000000000,4326,80,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,16
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,19.000000000000000000000000000000,332,89,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,16
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,17.000000000000000000000000000000,1372,104,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,17.000000000000000000000000000000,265,134,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,26.000000000000000000000000000000,89,66,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,24.000000000000000000000000000000,336,73,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,16
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,17.000000000000000000000000000000,1264,149,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,16
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,17.000000000000000000000000000000,617,115,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,17.000000000000000000000000000000,4739,104,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,16
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,20.000000000000000000000000000000,4307,76,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,16
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,19.000000000000000000000000000000,4827,96,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,19.000000000000000000000000000000,4926,112,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,5.000000000000000000000000000000,691,47,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,43,16
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,24.000000000000000000000000000000,4936,70,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,16
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,17.000000000000000000000000000000,206,119,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,16
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,23.000000000000000000000000000000,3022,80,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,12.000000000000000000000000000000,3385,103,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75,16
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,19.000000000000000000000000000000,1330,96,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,24.000000000000000000000000000000,475,60,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,16
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,17.000000000000000000000000000000,4769,123,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,17.000000000000000000000000000000,2638,94,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,70,16
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,4944,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,93,16
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,18.000000000000000000000000000000,437,68,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,70,16
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,50.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,28,16
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,18.000000000000000000000000000000,534,122,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
388,388_0,FAILED,BoTorch,GenerationStep_1,,,603,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,5.000000000000000000000000000000,1,35,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,80,16
390,304_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
391,391_0,FAILED,BoTorch,GenerationStep_1,,,4923,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,7.000000000000000000000000000000,4906,89,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,38,16
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,3307,65,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,59,16
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,16.000000000000000000000000000000,1010,94,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,67,16
395,136_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,4927,40,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,55,16
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,5000,60,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,40,16
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,6.000000000000000000000000000000,4202,94,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,67,16
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,14.000000000000000000000000000000,74,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,16
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,12.000000000000000000000000000000,4863,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,10,16
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,5000,57,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,5.000000000000000000000000000000,41,117,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35,16
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,5.000000000000000000000000000000,1442,71,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20,16
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,1841,101,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,93,16
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,5000,68,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,581,136,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,16
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,7.000000000000000000000000000000,5000,132,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,5.000000000000000000000000000000,5000,103,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29,16
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,929,41,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,60,16
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,5.000000000000000000000000000000,115,63,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68,16
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,4941,68,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,68,16
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,4797,51,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39,16
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,16
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,4849,59,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,93,16
417,417_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,5.000000000000000000000000000000,4627,64,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20,16
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,5.000000000000000000000000000000,3838,96,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34,16
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1818.000000000000000000000000000000,1603,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.177070998766828163750730595893,80,16
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,579.000000000000000000000000000000,594,6,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,95,16
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1153,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43,16
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17,16
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,300.000000000000000000000000000000,2210,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.008696097936299992253728063929,50,16
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1399.000000000000000000000000000000,3847,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.151284766469556741785851272653,75,16
426,426_0,RUNNING,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,98,16
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,831,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,84,16
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3706,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,54,16
429,429_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,3592.000000000000000000000000000000,550,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,96,16
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1906.000000000000000000000000000000,1834,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,81,16
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3946,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,16
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1622.000000000000000000000000000000,1196,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,78,16
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,386.000000000000000000000000000000,2988,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54,16
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,368.000000000000000000000000000000,2133,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.364948848036911077663546620897,53,16
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2461,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25,16
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,2928,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,39,16
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,3502.000000000000000000000000000000,3243,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,96,16
439,439_0,FAILED,BoTorch,GenerationStep_1,,,4615,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,98,16
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3406,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.529328410092952172938396415702,79,16
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,15.000000000000000000000000000000,3368,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,57,16
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,28.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,22,16
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3014,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51,16
444,444_0,FAILED,BoTorch,GenerationStep_1,,,929,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.405794737676390293579231638432,79,16
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2874,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34,16
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4353,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24,16
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1654,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,87,16
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,116.000000000000000000000000000000,4435,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.011460399889686811655820086742,37,16
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1342.000000000000000000000000000000,2203,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,74,16
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,552.000000000000000000000000000000,3163,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,59,16
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,14.000000000000000000000000000000,3043,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,16
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,10.000000000000000000000000000000,1466,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5,16
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,20.000000000000000000000000000000,3522,137,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,77,16
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,45.000000000000000000000000000000,3003,78,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,93,16
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,35.000000000000000000000000000000,4550,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25,16
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,245.000000000000000000000000000000,4591,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47,16
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,16
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,14.000000000000000000000000000000,44,85,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58,16
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,1845,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,97,16
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,6.000000000000000000000000000000,1312,113,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23,16
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,3466.000000000000000000000000000000,616,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,93,16
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,81.000000000000000000000000000000,3785,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34,16
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,14.000000000000000000000000000000,4945,156,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68,16
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,3942,103,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20,16
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,11.000000000000000000000000000000,4677,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,7,16
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,538.000000000000000000000000000000,3960,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58,16
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,57.000000000000000000000000000000,4732,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,30,16
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,7.000000000000000000000000000000,2802,129,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,41,16
469,321_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,18.000000000000000000000000000000,4363,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,16
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,6.000000000000000000000000000000,4088,63,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25,16
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,43.000000000000000000000000000000,2738,113,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,93,16
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,12.000000000000000000000000000000,4087,106,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60,16
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,4946,141,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,16
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,6.000000000000000000000000000000,1119,105,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,203.000000000000000000000000000000,1283,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,16
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,7.000000000000000000000000000000,4219,63,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34,16
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,11.000000000000000000000000000000,4318,114,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,57,16
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,1942,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,81,16
480,480_0,COMPLETED,Sobol,SOBOL,0.230000000000000009992007221626,8.000000000000000000000000000000,112,844,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.664266710162162765662685615098,12,16
481,481_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,11.000000000000000000000000000000,3136,4633,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.244025369118899104758924067937,95,16
482,482_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,4429,1387,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.370420887766405915186851416365,27,16
483,483_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,1397,2520,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.791267555389553289835191662860,69,16
484,484_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,1937,2075,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.523167903164401648652415133256,47,16
485,485_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,3870,3364,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.069306341104209426284832318288,61,16
486,486_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2582,156,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.441786618726328017547899662532,17,16
487,487_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,647,3789,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.895286503762006802276118833106,77,16
488,488_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,1137,1667,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.830195103209465767868380225991,38,16
489,489_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,3107,2878,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.253532880729064324931698592991,55,16
490,490_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,4322,1104,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.127015840772539384539996376589,25,16
491,491_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,11.000000000000000000000000000000,2345,4972,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.703316389946266995458756809967,83,16
492,492_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,1810,397,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.980979396663606117989786525868,5,16
493,493_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,4876,4108,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.434038956770673389762293936656,90,16
494,494_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,3666,2374,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.061436548113822937733363716006,33,16
495,495_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,598,3741,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.608982317375019177596584540879,73,16
496,496_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,12.000000000000000000000000000000,344,2259,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.384160189539194119046072728452,97,16
497,497_0,RUNNING,Sobol,SOBOL,,,3528,3548,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.960948047118261428067853557877,9,16
498,498_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,4816,595,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.588339935295283833482926638681,66,16
499,499_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,4.000000000000000000000000000000,1635,4228,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.012165021220222116404841017356,29,16
500,500_0,COMPLETED,Sobol,SOBOL,0.209999999999999992228438827624,8.000000000000000000000000000000,2326,990,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.303535375807434337769308285715,58,16
501,501_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,4106,4779,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.850593836663290803201675771561,50,16
502,502_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2813,1864,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.724078692805022017253691046790,81,16
503,503_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,1040,2997,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.176650944506749507656451214643,13,16
504,504_0,COMPLETED,Sobol,SOBOL,0.330000000000000015543122344752,10.000000000000000000000000000000,901,271,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.113459270821884269930812649818,53,16
505,505_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,60.000000000000000000000000000000,3892,160,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
506,506_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,17.000000000000000000000000000000,1197,61,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49,16
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,14.000000000000000000000000000000,4580,78,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,16
508,508_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,9.000000000000000000000000000000,518,79,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,52,16
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,56.000000000000000000000000000000,1344,173,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,16.000000000000000000000000000000,3977,77,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,52,16
511,511_0,FAILED,BoTorch,BOTORCH_MODULAR,,,277,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73,16
512,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,5000,102,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,579.000000000000000000000000000000,4950,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,58,16
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,974.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,65,16
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,963.000000000000000000000000000000,1353,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,63,16
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,772,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,56,16
518,518_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2982,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,81,16
519,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33,16
521,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,500,101,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
523,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,16
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,14.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,5000,185,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
527,527_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,1658.000000000000000000000000000000,122,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,16
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,203.000000000000000000000000000000,637,31,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,79,16
532,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,7.000000000000000000000000000000,1556,37,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,46.000000000000000000000000000000,1,144,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
535,535_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,1,67,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,16
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,11.000000000000000000000000000000,140,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49,16
538,535_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,10.000000000000000000000000000000,5000,54,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,16
540,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,43.000000000000000000000000000000,1,149,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
542,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,31.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20,16
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,105,85,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48,16
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,9.000000000000000000000000000000,3798,35,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33,16
546,546_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1177,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,487,153,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,16
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,7.000000000000000000000000000000,5000,110,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.215192922642003514610564707255,1,16
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
550,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,12.000000000000000000000000000000,573,96,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,57,16
552,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
553,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,16
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,15.000000000000000000000000000000,4683,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,16
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,15.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,11.000000000000000000000000000000,3322,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,9.000000000000000000000000000000,4402,67,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,47,16
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,5000,194,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,8.000000000000000000000000000000,5000,48,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,9.000000000000000000000000000000,5000,255,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,8.000000000000000000000000000000,4218,150,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.309999999999999997779553950750,6.000000000000000000000000000000,305,40,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,16
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,17.000000000000000000000000000000,653,90,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,56,16
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,7.000000000000000000000000000000,5000,145,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,16
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,14.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,5000,52,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,16
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,347.000000000000000000000000000000,4968,19,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,137.000000000000000000000000000000,5000,48,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
569,569_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,41.000000000000000000000000000000,3335,149,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89,16
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,34,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,9,16
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,84.000000000000000000000000000000,3285,114,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
575,575_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2464,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
576,429_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,1673.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,16
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2548,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
579,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
580,429_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
581,581_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2697,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
582,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
583,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
584,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,16
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,532,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,61,16
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,7.000000000000000000000000000000,476,43,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,16
587,429_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
588,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,769.000000000000000000000000000000,338,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58,16
590,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
591,591_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,2971,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,65,16
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,3916,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58,16
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,3459,52,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49,16
595,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
596,596_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3227,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,4299,46,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19,16
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,8.000000000000000000000000000000,994,40,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,88,16
599,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,12.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
601,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
602,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,12.000000000000000000000000000000,4467,90,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,16
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,16.000000000000000000000000000000,4426,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,8,16
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,17.000000000000000000000000000000,4864,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,47,16
606,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
607,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
608,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,81.000000000000000000000000000000,1893,107,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,7.000000000000000000000000000000,4967,57,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20,16
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,1477.000000000000000000000000000000,4731,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,68,16
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,420.000000000000000000000000000000,1,5,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,16
613,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
614,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,86.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31,16
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,76.000000000000000000000000000000,2786,100,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,59,16
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,10.000000000000000000000000000000,4506,169,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,42,16
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,31.000000000000000000000000000000,3767,167,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,16
620,620_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4625,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,4947,147,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32,16
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,33.000000000000000000000000000000,4932,177,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,16
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,29.000000000000000000000000000000,510,148,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,80,16
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,9.000000000000000000000000000000,4736,61,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,6,16
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,6.000000000000000000000000000000,4044,63,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,16
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,3509,46,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31,16
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,3479,55,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,49,16
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,85,16
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,4795,45,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,24,16
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,25,16
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,6.000000000000000000000000000000,3831,59,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,91,16
632,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,11.000000000000000000000000000000,4371,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64,16
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,9.000000000000000000000000000000,4343,91,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44,16
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43,16
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,4885,37,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,16
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,7.000000000000000000000000000000,4520,101,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,16,16
638,638_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,7.000000000000000000000000000000,4595,42,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62,16
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,713,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36,16
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,339,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,16
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,8.000000000000000000000000000000,3661,120,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,16
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,8.000000000000000000000000000000,3116,84,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58,16
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,480,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,16
644,644_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,2344,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,8,16
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,4254,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,10,16
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,8.000000000000000000000000000000,3128,46,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,29,16
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,15.000000000000000000000000000000,4318,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,7,16
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,321,75,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,90,16
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,7.000000000000000000000000000000,3206,82,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62,16
650,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,1220,68,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,80,16
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,5.000000000000000000000000000000,4843,60,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33,16
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,3719,85,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25,16
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,49,16
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,11.000000000000000000000000000000,745,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,92,16
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62,16
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,11.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68,16
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,43,16
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,4415,40,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,16
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,7.000000000000000000000000000000,4709,73,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,52,16
661,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,1224,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,67,16
663,663_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,16
664,664_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,301.000000000000000000000000000000,4707,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,46,16
665,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,561.000000000000000000000000000000,4517,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54,16
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,226.000000000000000000000000000000,4639,35,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.971115470737536345957607863966,100,16
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,16
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,419.000000000000000000000000000000,1,13,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
671,671_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,783.000000000000000000000000000000,4295,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60,16
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,7.000000000000000000000000000000,3419,46,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,16
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,570.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55,16
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,7.000000000000000000000000000000,4416,20,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44,16
675,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,3197,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,88,16
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,440.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51,16
678,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,3242,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,6,16
680,680_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3275,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,15.000000000000000000000000000000,4822,133,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,61,16
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,1880,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,6,16
683,574_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,16
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,7.000000000000000000000000000000,982,94,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,94,16
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,315.000000000000000000000000000000,281,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48,16
686,686_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4546,80,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,6,16

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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
1744997503,1744997530,27,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 2582 feature_id 16 batch_size 156 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.441786618726328 subsets 17,2582,156,str\(\'KL\'\),1,str\(\'tstat\'\),0.441786618726328,17,16,0.2,7,0,None,i7180,7,750.078125,749.8658854166666,-1,0.05162144275314361,4544530
1744997538,1744997558,20,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 647 feature_id 16 batch_size 3789 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.8952865037620068 subsets 77,647,3789,str\(\'H\'\),2,str\(\'stdev\'\),0.8952865037620068,77,16,0.2,6,0,None,i7180,6,751.38671875,751.21875,-1,0,4544565
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 1937 feature_id 16 batch_size 2075 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5231679031644016 subsets 47,1937,2075,str\(\'KL\'\),1,str\(\'stdev\'\),0.5231679031644016,47,16,0.2,8,0,None,i7175,8,750.25390625,749.44140625,-1,0.02514890800794176,4544434
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 3870 feature_id 16 batch_size 3364 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.06930634110420943 subsets 61,3870,3364,str\(\'H\'\),3,str\(\'tstat\'\),0.06930634110420943,61,16,0.2,6,0,None,i7175,6,750.484375,749.8385416666666,-1,0,4544486
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 112 feature_id 16 batch_size 844 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6642667101621628 subsets 12,112,844,str\(\'H\'\),2,str\(\'stdev\'\),0.6642667101621628,12,16,0.23,8,0,None,i7176,8,740.84375,740.7747395833334,-1,0,4544309
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 1397 feature_id 16 batch_size 2520 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7912675553895533 subsets 69,1397,2520,str\(\'KL\'\),2,str\(\'stdev\'\),0.7912675553895533,69,16,0.2,8,0,None,i7176,8,741.0234375,740.9361979166666,-1,0,4544392
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 4429 feature_id 16 batch_size 1387 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.3704208877664059 subsets 27,4429,1387,str\(\'H\'\),3,str\(\'tstat\'\),0.3704208877664059,27,16,0.2,7,0,None,i7176,7,741.91796875,741.8424479166666,-1,0.2564526803441429,4544359
1744997520,1744997592,72,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 3136 feature_id 16 batch_size 4633 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.2440253691188991 subsets 95,3136,4633,str\(\'KL\'\),1,str\(\'tstat\'\),0.2440253691188991,95,16,0.2,11,0,None,i7176,11,742.125,742.0361328125,-1,0,4544328
1744997591,1744997611,20,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 1137 feature_id 16 batch_size 1667 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8301951032094658 subsets 38,1137,1667,str\(\'KL\'\),3,str\(\'tstat\'\),0.8301951032094658,38,16,0.2,5,0,None,i7180,5,750.046875,749.8697916666666,-1,0,4544606
1744997638,1744997657,19,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 3107 feature_id 16 batch_size 2878 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.2535328807290643 subsets 55,3107,2878,str\(\'H\'\),2,str\(\'stdev\'\),0.2535328807290643,55,16,0.2,5,0,None,i7177,5,751.6953125,751.44140625,-1,0,4544653
1744997680,1744997700,20,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 4322 feature_id 16 batch_size 1104 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.12701584077253938 subsets 25,4322,1104,str\(\'KL\'\),2,str\(\'stdev\'\),0.12701584077253938,25,16,0.2,5,0,None,i7177,5,749.93359375,749.6640625,-1,0.06915949702183984,4544699
1744997759,1744997785,26,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 2345 feature_id 16 batch_size 4972 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.703316389946267 subsets 83,2345,4972,str\(\'H\'\),1,str\(\'tstat\'\),0.703316389946267,83,16,0.2,11,0,None,i7180,11,750.09375,749.9365234375,-1,0,4544754
1744997783,1744997803,20,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 1810 feature_id 16 batch_size 397 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9809793966636061 subsets 5,1810,397,str\(\'H\'\),1,str\(\'tstat\'\),0.9809793966636061,5,16,0.2,5,0,None,i7177,5,750.9140625,750.7122395833334,-1,0.1313699536730642,4544781
1744997784,1744997804,20,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 4876 feature_id 16 batch_size 4108 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4340389567706734 subsets 90,4876,4108,str\(\'KL\'\),3,str\(\'stdev\'\),0.4340389567706734,90,16,0.2,5,0,None,i7177,5,751.02734375,750.8502604166666,-1,0,4544811
1744997787,1744997806,19,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 598 feature_id 16 batch_size 3741 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6089823173750192 subsets 73,598,3741,str\(\'KL\'\),3,str\(\'tstat\'\),0.6089823173750192,73,16,0.2,5,0,None,i7177,5,749.76171875,749.6041666666666,-1,0,4544878
1744997805,1744997825,20,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 3666 feature_id 16 batch_size 2374 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.06143654811382294 subsets 33,3666,2374,str\(\'H\'\),2,str\(\'stdev\'\),0.06143654811382294,33,16,0.2,5,0,None,i7177,5,751.29296875,751.0364583333334,-1,0,4544849
1744997788,1744997826,38,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 4816 feature_id 16 batch_size 595 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5883399352952838 subsets 66,4816,595,str\(\'H\'\),1,str\(\'tstat\'\),0.5883399352952838,66,16,0.2,7,0,None,i7176,7,750.6328125,750.4440104166666,-1,0.1968894771674388,4544987
1744997785,1744997830,45,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 344 feature_id 16 batch_size 2259 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3841601895391941 subsets 97,344,2259,str\(\'H\'\),1,str\(\'stdev\'\),0.3841601895391941,97,16,0.2,12,0,None,i7176,12,749.68359375,749.5732421875,-1,0.08603573792190602,4544913
1744997839,1744997858,19,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 1635 feature_id 16 batch_size 4228 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.012165021220222116 subsets 29,1635,4228,str\(\'KL\'\),3,str\(\'stdev\'\),0.012165021220222116,29,16,0.2,4,0,None,i7177,4,751.3046875,751.1497395833334,-1,0,4545042
1744999941,1744999967,26,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 2326 feature_id 16 batch_size 990 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.30353537580743434 subsets 58,2326,990,str\(\'KL\'\),3,str\(\'stdev\'\),0.30353537580743434,58,16,0.21,8,0,None,i7173,8,751.67578125,751.4401041666666,-1,0,4549388
1744999961,1744999981,20,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 4106 feature_id 16 batch_size 4779 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.8505938366632908 subsets 50,4106,4779,str\(\'H\'\),2,str\(\'tstat\'\),0.8505938366632908,50,16,0.2,7,0,None,i7185,7,747.9453125,735.9635416666666,-1,0,4549395
1744999962,1744999989,27,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 2813 feature_id 16 batch_size 1864 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.724078692805022 subsets 81,2813,1864,str\(\'KL\'\),3,str\(\'tstat\'\),0.724078692805022,81,16,0.2,7,0,None,i7180,7,751.26953125,751.0872395833334,-1,0,4549406
1744999985,1745000005,20,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 1040 feature_id 16 batch_size 2997 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.1766509445067495 subsets 13,1040,2997,str\(\'H\'\),1,str\(\'stdev\'\),0.1766509445067495,13,16,0.2,7,0,None,i7173,7,750.39453125,750.2135416666666,-1,0.3302448709463931,4549423
1745000002,1745000028,26,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 16 batch_size 271 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.11345927082188427 subsets 53,901,271,str\(\'KL\'\),2,str\(\'tstat\'\),0.11345927082188427,53,16,0.33,10,0,None,i7172,10,750.80859375,750.4856770833334,-1,0.08967571144937128,4549444
1745000327,1745000405,78,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 3892 feature_id 16 batch_size 160 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,3892,160,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,16,0.34,60,0,None,i7180,60,751.49609375,750.18310546875,-1,0.10589013898080742,4549780
1745000653,1745000687,34,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 1197 feature_id 16 batch_size 61 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 49,1197,61,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,49,16,0.33,17,0,None,i7180,17,750.60546875,750.37890625,-1,0.10092653871608206,4550058
1745000981,1745001008,27,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 4580 feature_id 16 batch_size 78 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 51,4580,78,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,51,16,0.33,14,0,None,i7173,14,750.80078125,750.5732421875,-1,0.07743216412971542,4550435
1745001196,1745001222,26,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 518 feature_id 16 batch_size 79 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 52,518,79,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,52,16,0.33,9,0,None,i7170,9,752.046875,751.7356770833334,-1,0.02614162806088683,4550809
1745001486,1745001557,71,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 1344 feature_id 16 batch_size 173 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1344,173,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,16,0.34,56,0,None,i7168,56,750.765625,750.64892578125,-1,0.11449371277299801,4551255
1745001782,1745001815,33,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 3977 feature_id 16 batch_size 77 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 52,3977,77,str\(\'H\'\),2,str\(\'tstat\'\),0.999,52,16,0.33,16,0,None,i7168,16,751.703125,751.4921875,-1,0.07743216412971542,4551662
1745002483,1745002509,26,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7180,,,,,,4552258
1745002841,1745002868,27,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 16 batch_size 102 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,102,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,16,0.35,9,0,None,i7180,9,750.4453125,750.1575520833334,-1,0.1687624090006618,4552495
1745003185,1745003785,600,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 4950 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 58,4950,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,58,16,0.35,579,0,None,i7168,579,750.4296875,750.4143229166667,-1,0.0843812045003309,4552791
1745004083,1745004108,25,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 772 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 56,772,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,56,16,0.35,9,0,None,i7169,9,749.90625,749.7486979166666,-1,0.0843812045003309,4553595
1745003481,1745004474,993,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 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 65,5000,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,65,16,0.35,974,0,None,i7169,974,751.40234375,751.3933203125,-1,0.0843812045003309,4553078
1745003742,1745004716,974,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 1353 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 63,1353,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,63,16,0.35,963,0,None,i7170,963,750.6953125,750.6858428030303,-1,0.0843812045003309,4553277
1745004983,1745005010,27,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7167,,,,,,4554543
1745006984,1745007010,26,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 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 33,5000,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,33,16,0.35,13,0,None,i7173,13,751.44921875,751.267578125,-1,0.0843812045003309,4556279
1745007285,1745007304,19,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7167,,,,,,4556563
1745007625,1745007645,20,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 500 feature_id 16 batch_size 101 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,500,101,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,16,0.34,8,0,None,i7170,8,750.6796875,750.4583333333334,-1,0.06684315023163467,4556880
1745008292,1745008343,51,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,16,0.35,9,0,None,i7166,9,750.4765625,750.01953125,-1,0.0843812045003309,4557554
1745008623,1745008650,27,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 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,16,0.32,14,0,None,i7170,14,750.7734375,750.533203125,-1,0.0843812045003309,4557865
1745008994,1745009020,26,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 16 batch_size 185 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,185,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,16,0.35,9,0,None,i7169,9,750.140625,749.8346354166666,-1,0.1343481138318994,4558189
1745009385,1745009411,26,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,16,None,None,1,None,i7169,,,,,,4558515
1745009745,1745009772,27,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,16,0.35,13,0,None,i7180,13,750.51171875,750.3330078125,-1,0.0843812045003309,4558806
1745010445,1745010664,219,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 637 feature_id 16 batch_size 31 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,637,31,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,16,0.34,203,0,None,i7169,203,750.5625,750.5222486413044,-1,0.08206485771012574,4559404
1745010826,1745010853,27,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 79,1,1,str\(\'H\'\),3,str\(\'stdev\'\),0.999,79,16,0.35,12,0,None,i7169,12,751.43359375,751.31640625,-1,0.0843812045003309,4559749
1745011225,1745011258,33,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7185,,,,,,4560112
1745011624,1745011657,33,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 1556 feature_id 16 batch_size 37 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1556,37,str\(\'H\'\),3,str\(\'tstat\'\),0.001,100,16,0.32,7,0,None,i7185,7,685.2734375,672.1119791666666,-1,0.024487094639311716,4560497
1745010075,1745011750,1675,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 122 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 72,122,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,72,16,0.35,1658,0,None,i7170,1658,750.84765625,750.8125232514881,-1,0.0843812045003309,4559075
1745011946,1745012009,63,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 16 batch_size 144 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,144,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,16,0.33,46,0,None,i7166,46,750.74609375,749.65625,-1,0.09530112508272667,4560789
1745012286,1745012312,26,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,16,None,None,1,None,i7168,,,,,,4561086
1745012725,1745012752,27,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 16 batch_size 67 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 46,1,67,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,46,16,0.35,14,0,None,i7170,14,751.3359375,751.1083984375,-1,0.09232296492389146,4561435
1745013135,1745013162,27,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 140 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 49,140,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,49,16,0.35,11,0,None,i7169,11,750.84375,750.6962890625,-1,0.0843812045003309,4561776
1745013586,1745013613,27,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,100,16,None,None,1,None,i7170,,,,,,4562148
1745013947,1745013973,26,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 16 batch_size 54 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,54,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,16,0.36,10,0,None,i7170,10,750.8828125,750.64453125,-1,0.16082064857710127,4562453
1745014406,1745014432,26,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7169,,,,,,4562838
1745014766,1745014824,58,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 16 batch_size 149 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,149,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,100,16,0.29,43,0,None,i7168,43,750.5234375,750.3716517857143,-1,0.0986101919258769,4563128
1745015086,1745015105,19,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7167,,,,,,4563419
1745015447,1745015493,46,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 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 20,1,1,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,20,16,0.35,31,0,None,i7169,31,750.69921875,750.5696614583334,-1,0.0843812045003309,4563728
1745015787,1745015813,26,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 105 feature_id 16 batch_size 85 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 48,105,85,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,48,16,0.35,13,0,None,i7168,13,751.53515625,751.314453125,-1,0.0843812045003309,4564010
1745016126,1745016153,27,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 3798 feature_id 16 batch_size 35 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 33,3798,35,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,33,16,0.3,9,0,None,i7169,9,751.26171875,750.9348958333334,-1,0.05790866975512905,4564270
1745016470,1745016496,26,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 1177 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1177,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7168,,,,,,4564521
1745016806,1745016832,26,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 487 feature_id 16 batch_size 153 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 40,487,153,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,40,16,0.2,6,0,None,i7169,6,750.0078125,749.83984375,-1,0.050628722700198546,4564793
1745017106,1745017125,19,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 16 batch_size 110 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.21519292264200351 subsets 1,5000,110,str\(\'H\'\),3,str\(\'tstat\'\),0.21519292264200351,1,16,0.34,7,0,None,i7169,7,751.4140625,751.2005208333334,-1,0.06651224354731966,4565018
1745017517,1745017544,27,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 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,1,16,0.35,12,0,None,i7169,12,750.84765625,750.6708984375,-1,0.0843812045003309,4565345
1745017937,1745017964,27,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7180,,,,,,4565699
1745018329,1745018361,32,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 573 feature_id 16 batch_size 96 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 57,573,96,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,57,16,0.29,12,0,None,i7185,12,672.1015625,663.10546875,-1,0.06353408338848444,4566029
1745018608,1745018627,19,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7168,,,,,,4566277
1745019369,1745019402,33,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 4683 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 15,4683,1,str\(\'H\'\),3,str\(\'tstat\'\),0.001,15,16,0.35,15,0,None,i7180,15,751.3203125,751.1259765625,-1,0.0843812045003309,4566862
1745019708,1745019747,39,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 1 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,16,0.32,15,0,None,i7185,15,671.72265625,654.2578125,-1,0.0843812045003309,4567099
1745020088,1745020114,26,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 3322 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,3322,1,str\(\'H\'\),3,str\(\'tstat\'\),0.001,1,16,0.35,11,0,None,i7169,11,750.43359375,750.2685546875,-1,0.0843812045003309,4567395
1745020579,1745020606,27,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 4402 feature_id 16 batch_size 67 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 47,4402,67,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,47,16,0.33,9,0,None,i7173,9,751.83984375,751.4947916666666,-1,0.04434149569821311,4567770
1745020909,1745020935,26,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 16 batch_size 194 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,194,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,16,0.35,9,0,None,i7173,9,750.66796875,750.3776041666666,-1,0.17306419589675712,4568034
1745021333,1745021359,26,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 16 batch_size 48 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,48,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,1,16,0.3,8,0,None,i7173,8,750.9609375,750.7135416666666,-1,0.03176704169424222,4568385
1745021869,1745021902,33,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 5000 feature_id 16 batch_size 255 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,255,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,16,0.34,9,0,None,i7185,9,684.9609375,677.55859375,-1,0.1687624090006618,4568790
1745022249,1745022269,20,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 4218 feature_id 16 batch_size 150 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,4218,150,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,16,0.3,8,0,None,i7170,8,750.35546875,750.1341145833334,-1,0.09927200529450694,4569079
1745022729,1745022749,20,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 305 feature_id 16 batch_size 40 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 42,305,40,str\(\'H\'\),3,str\(\'tstat\'\),0.001,42,16,0.31,6,0,None,i7169,6,750.27734375,750.0481770833334,-1,0.03970880211780278,4569418
1745023189,1745023222,33,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 653 feature_id 16 batch_size 90 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 56,653,90,str\(\'H\'\),2,str\(\'tstat\'\),0.999,56,16,0.33,17,0,None,i7170,17,750.7890625,750.5595703125,-1,0.05956320317670417,4569766
1745023589,1745023609,20,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 16 batch_size 145 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,145,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,1,16,0.21,7,0,None,i7170,7,751.8515625,751.63671875,-1,0.04798146922567836,4570073
1745023970,1745023996,26,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 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,16,0.32,14,0,None,i7173,14,750.25390625,750.0244140625,-1,0.0843812045003309,4570424
1745024470,1745024490,20,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 16 batch_size 52 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,52,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,16,0.35,8,0,None,i7173,8,750.37109375,750.2200520833334,-1,0.12045003309066843,4570847
1745024950,1745025314,364,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 4968 feature_id 16 batch_size 19 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,4968,19,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,16,0.36,347,0,None,i7173,347,750.0078125,749.984375,-1,0.08173395102581073,4571200
1745025371,1745025520,149,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 16 batch_size 48 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,48,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,16,0.36,137,0,None,i7170,137,751.2578125,751.201416015625,-1,0.06353408338848444,4571492
1745026250,1745026303,53,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 3335 feature_id 16 batch_size 149 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 89,3335,149,str\(\'H\'\),2,str\(\'tstat\'\),0.999,89,16,0.3,41,0,None,i7185,41,751.88671875,751.7516741071429,-1,0.12739907346128393,4572076
1745026651,1745026671,20,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 16 batch_size 34 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 9,5000,34,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,9,16,0.34,8,0,None,i7170,8,751.01953125,750.8255208333334,-1,0.04500330906684315,4572384
1745027091,1745027190,99,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 3285 feature_id 16 batch_size 114 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,3285,114,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,16,0.34,84,0,None,i7173,84,750.1875,750.0997869318181,-1,0.09298477829252151,4572719
1745029461,1745029489,28,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 2548 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,2548,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7180,,,,,,4574506
1745029092,1745030776,1684,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 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 71,5000,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,71,16,0.35,1673,0,None,i7173,1673,751.62890625,751.571737132353,-1,0.0843812045003309,4574229
1745033973,1745033999,26,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 532 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 61,532,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,61,16,0.35,13,0,None,i7185,13,750.296875,750.1337890625,-1,0.0843812045003309,4577643
1745034392,1745034412,20,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 476 feature_id 16 batch_size 43 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 18,476,43,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,18,16,0.36,7,0,None,i7170,7,750.375,750.125,-1,0.09960291197882197,4577927
1745035754,1745036535,781,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 338 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 58,338,1,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,58,16,0.35,769,0,None,i7180,769,749.98046875,749.9705795094936,-1,0.0843812045003309,4578868
1745036594,1745036620,26,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,16,None,None,1,None,i7173,,,,,,4579412
1745037024,1745037051,27,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 2971 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 65,2971,1,str\(\'H\'\),3,str\(\'stdev\'\),0.001,65,16,0.35,14,0,None,i7180,14,749.765625,749.6376953125,-1,0.0843812045003309,4579690
1745037433,1745037453,20,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 3916 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 58,3916,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,58,16,0.35,8,0,None,i7169,8,750.18359375,749.9466145833334,-1,0.0843812045003309,4579930
1745037865,1745037892,27,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 3459 feature_id 16 batch_size 52 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 49,3459,52,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,49,16,0.35,9,0,None,i7180,9,750.63671875,750.41796875,-1,0.12045003309066843,4580195
1745038574,1745038593,19,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 3227 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,3227,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7170,,,,,,4580681
1745038954,1745038974,20,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 4299 feature_id 16 batch_size 46 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 19,4299,46,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,19,16,0.35,8,0,None,i7185,8,750.015625,749.6901041666666,-1,0.09133024487094639,4580925
1745039275,1745039295,20,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 994 feature_id 16 batch_size 40 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 88,994,40,str\(\'H\'\),3,str\(\'tstat\'\),0.999,88,16,0.33,8,0,None,i7173,8,750.01171875,749.7955729166666,-1,0.07974851091992058,4581148
1745041975,1745042001,26,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 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,16,0.32,12,0,None,i7173,12,751.2890625,751.0751953125,-1,0.0843812045003309,4582776
1745042875,1745042902,27,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7185,,,,,,4583297
1745043256,1745043283,27,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 4467 feature_id 16 batch_size 90 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 40,4467,90,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,40,16,0.33,12,0,None,i7173,12,750.06640625,749.86328125,-1,0.08934480476505625,4583527
1745043656,1745043689,33,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 4426 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 8,4426,1,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,8,16,0.35,16,0,None,i7185,16,751.48046875,751.265625,-1,0.0843812045003309,4583766
1745044144,1745044201,57,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 4864 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 47,4864,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,47,16,0.35,17,0,None,i7169,17,636.1796875,635.0927734375,-1,0.0843812045003309,4584139
1745044635,1745044654,19,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7168,,,,,,4584459
1745045836,1745045940,104,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 1893 feature_id 16 batch_size 107 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1893,107,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,100,16,0.33,81,0,None,i7173,81,676.66015625,648.3178267045455,-1,0.10622104566512243,4585248
1745046202,1745046235,33,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 4967 feature_id 16 batch_size 57 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 20,4967,57,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,20,16,0.33,7,0,None,i7173,7,670.84765625,667.8684895833334,-1,0.07412309728656519,4585458
1745047137,1745047577,440,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 16 batch_size 5 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 100,1,5,str\(\'H\'\),2,str\(\'tstat\'\),0.001,100,16,0.3,420,0,None,i7185,420,744.70703125,648.5357776988636,-1,0.021508934480476506,4585984
1745046676,1745048178,1502,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 4731 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 68,4731,1,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,68,16,0.35,1477,0,None,i7173,1477,664.328125,630.2756770833333,-1,0.0843812045003309,4585735
1745048297,1745048401,104,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 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 31,1,1,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,31,16,0.35,86,0,None,i7185,86,747.5390625,735.0188210227273,-1,0.0843812045003309,4586632
1745048717,1745048814,97,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 2786 feature_id 16 batch_size 100 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,2786,100,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,16,0.34,76,0,None,i7173,76,710.7734375,657.496875,-1,0.09960291197882197,4586869
1745049148,1745049181,33,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 5000 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 59,5000,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,59,16,0.35,13,0,None,i7173,13,744.78125,739.2939453125,-1,0.0843812045003309,4587130
1745049718,1745049744,26,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 4506 feature_id 16 batch_size 169 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 42,4506,169,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,42,16,0.34,10,0,None,i7180,10,750.9765625,750.6861979166666,-1,0.05592322964923892,4587454
1745050197,1745050243,46,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 3767 feature_id 16 batch_size 167 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 86,3767,167,str\(\'H\'\),2,str\(\'tstat\'\),0.999,86,16,0.29,31,0,None,i7180,31,750.203125,750.0572916666666,-1,0.11052283256121774,4587722
1745050718,1745050751,33,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 4625 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,4625,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7173,,,,,,4588010
1745051178,1745051198,20,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 4947 feature_id 16 batch_size 147 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 32,4947,147,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,32,16,0.35,9,0,None,i7180,9,750.9765625,750.75390625,-1,0.11681005956320317,4588263
1745051579,1745051626,47,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 4932 feature_id 16 batch_size 177 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 86,4932,177,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,86,16,0.32,33,0,None,i7180,33,751.30078125,751.1360677083334,-1,0.1171409662475182,4588478
1745051977,1745052024,47,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 510 feature_id 16 batch_size 148 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 80,510,148,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,80,16,0.32,29,0,None,i7180,29,751.51953125,751.33828125,-1,0.09794837855724686,4588693
1745052498,1745052525,27,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 4736 feature_id 16 batch_size 61 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 6,4736,61,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,6,16,0.33,9,0,None,i7173,9,731.72265625,725.3111979166666,-1,0.10092653871608206,4588958
1745052877,1745052903,26,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 4044 feature_id 16 batch_size 63 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 12,4044,63,str\(\'H\'\),3,str\(\'stdev\'\),0.999,12,16,0.33,6,0,None,i7170,6,732.70703125,704.0611979166666,-1,0.04169424222369292,4589168
1745053338,1745053358,20,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 3509 feature_id 16 batch_size 46 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 31,3509,46,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,31,16,0.35,8,0,None,i7180,8,750.015625,749.8046875,-1,0.09133024487094639,4589410
1745053729,1745053781,52,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 3479 feature_id 16 batch_size 55 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 49,3479,55,str\(\'H\'\),3,str\(\'stdev\'\),0.999,49,16,0.34,8,0,None,i7173,8,678.3203125,666.8697916666666,-1,0.08471211118464593,4589614
1745054294,1745054358,64,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 5000 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 85,5000,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,85,16,0.35,13,0,None,i7185,13,672.85546875,670.7138671875,-1,0.0843812045003309,4589872
1745054579,1745054599,20,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 4795 feature_id 16 batch_size 45 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 24,4795,45,str\(\'H\'\),3,str\(\'tstat\'\),0.999,24,16,0.35,8,0,None,i7180,8,750.3828125,750.1588541666666,-1,0.08934480476505625,4590091
1745054978,1745055011,33,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 5000 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 25,5000,1,str\(\'H\'\),3,str\(\'tstat\'\),0.001,25,16,0.35,13,0,None,i7173,13,687.48828125,664.517578125,-1,0.0843812045003309,4590309
1745055478,1745055504,26,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 3831 feature_id 16 batch_size 59 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 91,3831,59,str\(\'H\'\),3,str\(\'stdev\'\),0.999,91,16,0.33,6,0,None,i7183,6,750.69140625,750.51171875,-1,0.1171409662475182,4590569
1745055898,1745055918,20,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7183,,,,,,4590816
1745056408,1745056434,26,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 4371 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 64,4371,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,64,16,0.35,11,0,None,i7183,11,749.96484375,749.802734375,-1,0.0843812045003309,4591105
1745056780,1745056807,27,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 4343 feature_id 16 batch_size 91 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 44,4343,91,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,44,16,0.33,9,0,None,i7185,9,742.69921875,741.44140625,-1,0.09033752481800132,4591288
1745057279,1745057312,33,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 5000 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 43,5000,1,str\(\'H\'\),3,str\(\'stdev\'\),0.999,43,16,0.35,13,0,None,i7185,13,730.83203125,723.849609375,-1,0.0843812045003309,4591529
1745057789,1745057822,33,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 4885 feature_id 16 batch_size 37 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 28,4885,37,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,28,16,0.35,8,0,None,i7185,8,698.7109375,695.81640625,-1,0.085704831237591,4591804
1745058219,1745058239,20,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 4520 feature_id 16 batch_size 101 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 16,4520,101,str\(\'H\'\),3,str\(\'stdev\'\),0.999,16,16,0.32,7,0,None,i7183,7,750.0859375,749.9283854166666,-1,0.07379219060225016,4592040
1745058779,1745058799,20,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 4595 feature_id 16 batch_size 42 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 62,4595,42,str\(\'H\'\),3,str\(\'tstat\'\),0.001,62,16,0.28,7,0,None,i7183,7,750.84765625,750.6041666666666,-1,0.027796161482461945,4592360
1745059221,1745059254,33,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 713 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 36,713,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,36,16,0.35,13,0,None,i7185,13,720.9296875,696.0830078125,-1,0.0843812045003309,4592590
1745059831,1745059864,33,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 339 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 23,339,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,23,16,0.35,13,0,None,i7185,13,686.79296875,680.8720703125,-1,0.0843812045003309,4592912
1745060184,1745060211,27,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 3661 feature_id 16 batch_size 120 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 30,3661,120,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,30,16,0.29,8,0,None,i7183,8,751.9453125,751.6744791666666,-1,0.07941760423560557,4593099
1745060677,1745060704,27,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 3116 feature_id 16 batch_size 84 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 58,3116,84,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,58,16,0.33,8,0,None,i7180,8,750.54296875,750.359375,-1,0.06121773659827928,4593355
1745061122,1745061161,39,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 480 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 13,480,1,str\(\'H\'\),3,str\(\'stdev\'\),0.001,13,16,0.35,12,0,None,i7185,12,693.3359375,683.78515625,-1,0.0843812045003309,4593601
1745061570,1745061597,27,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 2344 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 8,2344,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,8,16,0.35,12,0,None,i7183,12,751.09375,750.94140625,-1,0.0843812045003309,4593851
1745062050,1745062076,26,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 4254 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 10,4254,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,10,16,0.35,12,0,None,i7183,12,750.59765625,750.48046875,-1,0.0843812045003309,4594110
1745062504,1745062524,20,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 3128 feature_id 16 batch_size 46 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 29,3128,46,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,29,16,0.32,8,0,None,i7183,8,751.3984375,751.0598958333334,-1,0.03044341495698213,4594356
1745063016,1745063043,27,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 4318 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 7,4318,1,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,7,16,0.32,15,0,None,i7180,15,749.9453125,749.7666015625,-1,0.0843812045003309,4594619
1745063562,1745063589,27,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 321 feature_id 16 batch_size 75 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 90,321,75,str\(\'H\'\),3,str\(\'tstat\'\),0.999,90,16,0.35,8,0,None,i7185,8,742.953125,722.7591145833334,-1,0.09927200529450694,4594896
1745063988,1745064008,20,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 3206 feature_id 16 batch_size 82 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 62,3206,82,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,62,16,0.34,7,0,None,i7183,7,749.97265625,749.74609375,-1,0.0814030443414957,4595114
1745064424,1745064450,26,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7183,,,,,,4595348
1745064901,1745064921,20,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 1220 feature_id 16 batch_size 68 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 80,1220,68,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,80,16,0.34,8,0,None,i7183,8,750.65234375,750.4466145833334,-1,0.0900066181336863,4595601
1745065261,1745065280,19,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 4843 feature_id 16 batch_size 60 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 33,4843,60,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,33,16,0.28,5,0,None,i7180,5,751.1171875,750.8684895833334,-1,0,4595802
1745065762,1745065788,26,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 3719 feature_id 16 batch_size 85 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 25,3719,85,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,25,16,0.35,9,0,None,i7185,9,699.4296875,684.39453125,-1,0.0843812045003309,4596065
1745066282,1745066308,26,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 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 49,1,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,49,16,0.35,14,0,None,i7180,14,751.1484375,750.5791015625,-1,0.0843812045003309,4596329
1745066821,1745066847,26,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 745 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 92,745,1,str\(\'H\'\),3,str\(\'stdev\'\),0.999,92,16,0.35,11,0,None,i7183,11,751.43359375,751.31640625,-1,0.0843812045003309,4596616
1745067331,1745067363,32,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 5000 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 62,5000,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,62,16,0.35,14,0,None,i7183,14,751.34375,751.1982421875,-1,0.0843812045003309,4596863
1745067902,1745067934,32,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 68,1,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,68,16,0.35,11,0,None,i7183,11,725.1796875,704.1103515625,-1,0.0843812045003309,4597154
1745068566,1745068599,33,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 5000 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 43,5000,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,43,16,0.35,12,0,None,i7185,12,701.40234375,689.302734375,-1,0.0843812045003309,4597487
1745069042,1745069069,27,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 4415 feature_id 16 batch_size 40 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 23,4415,40,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,23,16,0.35,8,0,None,i7185,8,700.86328125,696.44921875,-1,0.07974851091992058,4597737
1745069642,1745069662,20,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 4709 feature_id 16 batch_size 73 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 52,4709,73,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,52,16,0.3,7,0,None,i7180,7,751.7109375,751.53515625,-1,0.024156187954996692,4598039
1745070063,1745070089,26,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7185,,,,,,4598259
1745070662,1745070695,33,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 1224 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 67,1224,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,67,16,0.35,12,0,None,i7185,12,743.69140625,722.0185546875,-1,0.0843812045003309,4598536
1745071102,1745071135,33,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 5000 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,16,0.35,13,0,None,i7185,13,749.91015625,744.0869140625,-1,0.0843812045003309,4598753
1745071602,1745071919,317,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 4707 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 46,4707,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,46,16,0.35,301,0,None,i7183,301,733.22265625,684.0336174242424,-1,0.0843812045003309,4599010
1745072163,1745072190,27,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7185,,,,,,4599302
1745072683,1745073259,576,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 4517 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 54,4517,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,54,16,0.35,561,0,None,i7183,561,717.22265625,647.4077727754237,-1,0.0843812045003309,4599571
1745073163,1745073402,239,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 4639 feature_id 16 batch_size 35 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.9711154707375363 subsets 100,4639,35,str\(\'KL\'\),2,str\(\'tstat\'\),0.9711154707375363,100,16,0.35,226,0,None,i7183,226,719.7109375,681.56203125,-1,0.09265387160820648,4599812
1745073643,1745073676,33,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),3,str\(\'stdev\'\),0.999,100,16,0.35,12,0,None,i7185,12,700.44921875,679.544921875,-1,0.0843812045003309,4600050
1745074203,1745074230,27,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 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,100,16,0.35,13,0,None,i7185,13,742.734375,723.0439453125,-1,0.0843812045003309,4600320
1745074763,1745075200,437,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 16 batch_size 13 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,13,str\(\'H\'\),2,str\(\'tstat\'\),0.999,100,16,0.33,419,0,None,i7183,419,675.0859375,633.193359375,-1,0.0827266710787558,4600583
1745076034,1745076066,32,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 3419 feature_id 16 batch_size 46 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 32,3419,46,str\(\'H\'\),3,str\(\'stdev\'\),0.001,32,16,0.36,7,0,None,i7183,7,711.1875,692.9973958333334,-1,0.07610853739245532,4601195
1745075463,1745076265,802,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 4295 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 60,4295,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,60,16,0.35,783,0,None,i7183,783,715.328125,640.0901813271605,-1,0.0843812045003309,4600920
1745077163,1745077183,20,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 4416 feature_id 16 batch_size 20 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 44,4416,20,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,44,16,0.28,7,0,None,i7180,7,749.875,749.6888020833334,-1,0.08603573792190602,4601735
1745076623,1745077209,586,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 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 55,1,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,55,16,0.35,570,0,None,i7183,570,687.99609375,634.3289856991526,-1,0.0843812045003309,4601469
1745077714,1745077740,26,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7183,,,,,,4601987
1745078285,1745078312,27,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 3197 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 88,3197,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,88,16,0.35,13,0,None,i7185,13,750.05078125,749.8603515625,-1,0.0843812045003309,4602257
1745078825,1745079278,453,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 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 51,5000,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,51,16,0.35,440,0,None,i7185,440,751.328125,751.0754076086956,-1,0.0843812045003309,4602507
1745079385,1745079411,26,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 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7185,,,,,,4602767
1745079938,1745079964,26,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 3242 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 6,3242,1,str\(\'H\'\),3,str\(\'stdev\'\),0.001,6,16,0.35,13,0,None,i7185,13,751.18359375,751.052734375,-1,0.0843812045003309,4603022
1745080571,1745080597,26,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 3275 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,3275,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,16,None,None,1,None,i7183,,,,,,4603321
1745080992,1745081025,33,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 4822 feature_id 16 batch_size 133 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 61,4822,133,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,61,16,0.29,15,0,None,i7183,15,751.65625,751.42578125,-1,0.08669755129053607,4603511
1745081434,1745081466,32,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 1880 feature_id 16 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 6,1880,1,str\(\'H\'\),3,str\(\'stdev\'\),0.999,6,16,0.35,14,0,None,i7185,14,751.42578125,750.2509765625,-1,0.0843812045003309,4603708
1745082593,1745082613,20,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 982 feature_id 16 batch_size 94 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 94,982,94,str\(\'H\'\),3,str\(\'tstat\'\),0.999,94,16,0.33,7,0,None,i7183,7,751.40234375,751.1627604166666,-1,0.09331568497683654,4604215
1745083059,1745083392,333,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 281 feature_id 16 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 48,281,1,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,48,16,0.35,315,0,None,i7183,315,750.375,750.3474264705883,-1,0.0843812045003309,4604406
1745083634,1745083660,26,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 4546 feature_id 16 batch_size 80 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 6,4546,80,str\(\'H\'\),3,str\(\'stdev\'\),0.001,6,16,0.32,7,0,None,i7183,7,750.91015625,750.7278645833334,-1,0.07974851091992058,4604648

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/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552258/4552258_0_log.err not found


⚠ Job 4552028 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552028/4552028_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552028/4552028_0_log.out
----------------------------------------
submitit INFO (2025-04-18 20:48:38,883) - Starting with JobEnvironment(job_id=4552028, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 20:48:38,888) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552028/4552028_submitted.pkl
slurmstepd: error: *** JOB 4552028 ON i7173 CANCELLED AT 2025-04-18T21:18:46 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552028/4552028_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4554543/4554543_0_log.err not found


⚠ Job 4553992 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553992/4553992_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553992/4553992_0_log.out
----------------------------------------
submitit INFO (2025-04-18 21:27:39,786) - Starting with JobEnvironment(job_id=4553992, hostname=i7168, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 21:27:39,787) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553992/4553992_submitted.pkl
slurmstepd: error: *** JOB 4553992 ON i7168 CANCELLED AT 2025-04-18T21:57:47 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553992/4553992_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556563/4556563_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4558515/4558515_0_log.err not found


⚠ Job 4557189 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557189/4557189_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557189/4557189_0_log.out
----------------------------------------
submitit INFO (2025-04-18 22:25:59,835) - Starting with JobEnvironment(job_id=4557189, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 22:25:59,846) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557189/4557189_submitted.pkl
slurmstepd: error: *** JOB 4557189 ON i7185 CANCELLED AT 2025-04-18T22:56:21 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557189/4557189_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560112/4560112_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561086/4561086_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562148/4562148_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562838/4562838_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563419/4563419_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564521/4564521_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565699/4565699_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566277/4566277_0_log.err not found


⚠ Job 4566583 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566583/4566583_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566583/4566583_0_log.out
----------------------------------------
submitit INFO (2025-04-19 01:29:43,539) - Starting with JobEnvironment(job_id=4566583, hostname=i7170, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 01:29:43,548) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566583/4566583_submitted.pkl
slurmstepd: error: *** JOB 4566583 ON i7170 CANCELLED AT 2025-04-19T01:59:58 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566583/4566583_0_log.err not found


⚠ Job 4571795 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571795/4571795_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571795/4571795_0_log.out
----------------------------------------
submitit INFO (2025-04-19 03:23:47,187) - Starting with JobEnvironment(job_id=4571795, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 03:23:47,199) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571795/4571795_submitted.pkl
slurmstepd: error: *** JOB 4571795 ON i7185 CANCELLED AT 2025-04-19T03:54:02 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571795/4571795_0_log.err not found


⚠ Job 4573074 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573074/4573074_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573074/4573074_0_log.out
----------------------------------------
submitit INFO (2025-04-19 03:52:34,919) - Starting with JobEnvironment(job_id=4573074, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 03:52:34,927) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573074/4573074_submitted.pkl
slurmstepd: error: *** JOB 4573074 ON i7185 CANCELLED AT 2025-04-19T04:22:32 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573074/4573074_0_log.err not found


⚠ Job 4573369 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573369/4573369_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573369/4573369_0_log.out
----------------------------------------
submitit INFO (2025-04-19 03:58:27,706) - Starting with JobEnvironment(job_id=4573369, hostname=i7168, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 03:58:27,724) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573369/4573369_submitted.pkl
slurmstepd: error: *** JOB 4573369 ON i7168 CANCELLED AT 2025-04-19T04:28:32 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573369/4573369_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574506/4574506_0_log.err not found


⚠ Job 4573890 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573890/4573890_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573890/4573890_0_log.out
----------------------------------------
submitit INFO (2025-04-19 04:10:17,793) - Starting with JobEnvironment(job_id=4573890, hostname=i7169, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 04:10:17,795) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573890/4573890_submitted.pkl
slurmstepd: error: *** JOB 4573890 ON i7169 CANCELLED AT 2025-04-19T04:40:34 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573890/4573890_0_log.err not found


⚠ Job 4574781 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574781/4574781_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574781/4574781_0_log.out
----------------------------------------
submitit INFO (2025-04-19 04:30:48,450) - Starting with JobEnvironment(job_id=4574781, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 04:30:48,456) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574781/4574781_submitted.pkl
slurmstepd: error: *** JOB 4574781 ON i7185 CANCELLED AT 2025-04-19T05:01:04 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574781/4574781_0_log.err not found


⚠ Job 4576420 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576420/4576420_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576420/4576420_0_log.out
----------------------------------------
submitit INFO (2025-04-19 05:08:48,863) - Starting with JobEnvironment(job_id=4576420, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 05:08:48,865) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576420/4576420_submitted.pkl
slurmstepd: error: *** JOB 4576420 ON i7173 CANCELLED AT 2025-04-19T05:39:05 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576420/4576420_0_log.err not found


⚠ Job 4576705 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576705/4576705_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576705/4576705_0_log.out
----------------------------------------
submitit INFO (2025-04-19 05:15:49,094) - Starting with JobEnvironment(job_id=4576705, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 05:15:49,097) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576705/4576705_submitted.pkl
slurmstepd: error: *** JOB 4576705 ON i7185 CANCELLED AT 2025-04-19T05:46:05 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576705/4576705_0_log.err not found


⚠ Job 4576987 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576987/4576987_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576987/4576987_0_log.out
----------------------------------------
submitit INFO (2025-04-19 05:22:49,031) - Starting with JobEnvironment(job_id=4576987, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 05:22:49,035) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576987/4576987_submitted.pkl
slurmstepd: error: *** JOB 4576987 ON i7185 CANCELLED AT 2025-04-19T05:53:06 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576987/4576987_0_log.err not found


⚠ Job 4577181 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577181/4577181_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577181/4577181_0_log.out
----------------------------------------
submitit INFO (2025-04-19 05:27:29,089) - Starting with JobEnvironment(job_id=4577181, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 05:27:29,091) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577181/4577181_submitted.pkl
slurmstepd: error: *** JOB 4577181 ON i7173 CANCELLED AT 2025-04-19T05:57:36 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577181/4577181_0_log.err not found


⚠ Job 4577391 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577391/4577391_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577391/4577391_0_log.out
----------------------------------------
submitit INFO (2025-04-19 05:33:09,764) - Starting with JobEnvironment(job_id=4577391, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 05:33:09,766) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577391/4577391_submitted.pkl
slurmstepd: error: *** JOB 4577391 ON i7185 CANCELLED AT 2025-04-19T06:03:36 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577391/4577391_0_log.err not found


⚠ Job 4578222 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578222/4578222_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578222/4578222_0_log.out
----------------------------------------
submitit INFO (2025-04-19 05:53:30,127) - Starting with JobEnvironment(job_id=4578222, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 05:53:30,135) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578222/4578222_submitted.pkl
slurmstepd: error: *** JOB 4578222 ON i7180 CANCELLED AT 2025-04-19T06:23:36 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578222/4578222_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579412/4579412_0_log.err not found


⚠ Job 4578608 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578608/4578608_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578608/4578608_0_log.out
----------------------------------------
submitit INFO (2025-04-19 06:02:19,760) - Starting with JobEnvironment(job_id=4578608, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 06:02:19,764) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578608/4578608_submitted.pkl
slurmstepd: error: *** JOB 4578608 ON i7173 CANCELLED AT 2025-04-19T06:32:37 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578608/4578608_0_log.err not found


⚠ Job 4579187 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579187/4579187_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579187/4579187_0_log.out
----------------------------------------
submitit INFO (2025-04-19 06:17:10,363) - Starting with JobEnvironment(job_id=4579187, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 06:17:10,365) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579187/4579187_submitted.pkl
slurmstepd: error: *** JOB 4579187 ON i7173 CANCELLED AT 2025-04-19T06:47:37 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579187/4579187_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580681/4580681_0_log.err not found


⚠ Job 4580401 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580401/4580401_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580401/4580401_0_log.out
----------------------------------------
submitit INFO (2025-04-19 06:49:50,622) - Starting with JobEnvironment(job_id=4580401, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 06:49:50,624) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580401/4580401_submitted.pkl
slurmstepd: error: *** JOB 4580401 ON i7185 CANCELLED AT 2025-04-19T07:20:09 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580401/4580401_0_log.err not found


⚠ Job 4581422 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581422/4581422_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581422/4581422_0_log.out
----------------------------------------
submitit INFO (2025-04-19 07:15:10,717) - Starting with JobEnvironment(job_id=4581422, hostname=i7169, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 07:15:10,720) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581422/4581422_submitted.pkl
slurmstepd: error: *** JOB 4581422 ON i7169 CANCELLED AT 2025-04-19T07:45:09 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581422/4581422_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583297/4583297_0_log.err not found


⚠ Job 4582991 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582991/4582991_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582991/4582991_0_log.out
----------------------------------------
submitit INFO (2025-04-19 07:59:12,467) - Starting with JobEnvironment(job_id=4582991, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 07:59:12,472) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582991/4582991_submitted.pkl
slurmstepd: error: *** JOB 4582991 ON i7185 CANCELLED AT 2025-04-19T08:29:14 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582991/4582991_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584459/4584459_0_log.err not found


⚠ Job 4584831 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584831/4584831_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584831/4584831_0_log.out
----------------------------------------
submitit INFO (2025-04-19 08:44:53,285) - Starting with JobEnvironment(job_id=4584831, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 08:44:53,288) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584831/4584831_submitted.pkl
slurmstepd: error: *** JOB 4584831 ON i7180 CANCELLED AT 2025-04-19T09:15:14 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584831/4584831_0_log.err not found


⚠ Job 4585047 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585047/4585047_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585047/4585047_0_log.out
----------------------------------------
submitit INFO (2025-04-19 08:50:52,574) - Starting with JobEnvironment(job_id=4585047, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 08:50:52,578) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585047/4585047_submitted.pkl
slurmstepd: error: *** JOB 4585047 ON i7180 CANCELLED AT 2025-04-19T09:21:14 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585047/4585047_0_log.err not found


⚠ Job 4586188 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586188/4586188_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586188/4586188_0_log.out
----------------------------------------
submitit INFO (2025-04-19 09:25:13,082) - Starting with JobEnvironment(job_id=4586188, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 09:25:13,085) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586188/4586188_submitted.pkl
slurmstepd: error: *** JOB 4586188 ON i7173 CANCELLED AT 2025-04-19T09:55:16 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586188/4586188_0_log.err not found


⚠ Job 4586403 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586403/4586403_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586403/4586403_0_log.out
----------------------------------------
submitit INFO (2025-04-19 09:31:12,966) - Starting with JobEnvironment(job_id=4586403, hostname=i7170, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 09:31:12,968) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586403/4586403_submitted.pkl
slurmstepd: error: *** JOB 4586403 ON i7170 CANCELLED AT 2025-04-19T10:01:16 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586403/4586403_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588010/4588010_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4590816/4590816_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4595348/4595348_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4598259/4598259_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4599302/4599302_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601987/4601987_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4602767/4602767_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4603321/4603321_0_log.err not found

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timestamp,ram_usage_mb,cpu_usage_percent
1744997371,635.88671875,20.4
1744997371,635.890625,17.0
1744997372,635.9453125,18.0
1744997372,635.9453125,18.8
1744997372,635.9453125,14.8
1744997372,635.9453125,19.9
1744997372,635.9453125,12.5
1744997859,683.76953125,19.7
1744997859,683.76953125,28.6
1744997859,683.76953125,21.0
1744997859,683.76953125,23.5
1745004988,886.23046875,29.9
1745004988,886.23046875,30.4
1745004988,886.23046875,30.5
1745004988,886.23046875,30.6
1745013930,949.4140625,31.6
1745013930,949.4140625,33.2
1745013930,949.4140625,31.3
1745013930,949.4140625,35.0
1745021329,943.265625,31.6
1745021329,943.265625,32.0
1745021330,943.265625,31.7
1745021330,943.265625,31.9
1745029894,943.6328125,32.0
1745029894,943.6328125,32.3
1745029894,943.6328125,32.7
1745029894,943.6328125,32.7
1745039726,1005.4140625,31.0
1745039726,1005.4140625,31.5
1745039726,1005.4140625,31.9
1745039726,1005.4140625,27.0
1745050202,976.3671875,31.6
1745050203,976.3671875,33.8
1745050203,976.3671875,31.8
1745050203,976.3671875,32.7
1745059227,990.94140625,31.6
1745059227,990.94140625,32.5
1745059227,990.94140625,31.9
1745059227,990.94140625,28.6
1745069046,1024.85546875,31.6
1745069046,1024.85546875,32.0
1745069046,1024.85546875,32.1
1745069046,1024.85546875,29.4
1745079946,1052.1796875,32.3
1745079946,1052.1796875,31.9
1745079947,1052.1796875,30.4
1745079947,1052.1796875,28.8

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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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				border-radius: 6px;
				border: 2px solid #0056b3;
				text-align: center;
				transition: all 0.3s ease-in-out;
			}
			
			.top_link:hover {
				background-color: #0056b3;
				border-color: #004494;
			}
			
			.top_link:active {
				background-color: #003366;
				border-color: #002244;
			}
			
			button {
				color: black;
			}
			
			.share_folder_buttons {
				width: fit-content;
			}
			
			button {
				background: #fcfcfe;
				border-color: #919b9c;
				border-top-color: rgb(145, 155, 156);
				border-bottom-color: rgb(145, 155, 156);
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c;
			}
			
			button {
				padding-bottom: 2px;
				margin-top: -2px;
				background-color: #ece9d8;
				position: relative;
				z-index: 8;
				margin-left: -3px;
				margin-bottom: 1px;
			}
			
			.window {
				min-width: 1100px;
			}
			
			[role="tab"] {
				padding: 10px !important;
			}
			
			[role="tabpanel"] {
				min-width: fit-content;
			}
			
			select {
				border: 1px solid #7f9db9;
				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' 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			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
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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 3136 feature_id 16 batch_size 4633 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.2440253691188991 subsets 95",
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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 1137 feature_id 16 batch_size 1667 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.8301951032094658 subsets 38",
			        1137,
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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 3107 feature_id 16 batch_size 2878 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.2535328807290643 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 4322 feature_id 16 batch_size 1104 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.12701584077253938 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 2345 feature_id 16 batch_size 4972 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.703316389946267 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 1810 feature_id 16 batch_size 397 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.9809793966636061 subsets 5",
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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 4876 feature_id 16 batch_size 4108 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.4340389567706734 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 598 feature_id 16 batch_size 3741 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.6089823173750192 subsets 73",
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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 3666 feature_id 16 batch_size 2374 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.06143654811382294 subsets 33",
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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 4816 feature_id 16 batch_size 595 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.5883399352952838 subsets 66",
			        4816,
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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 344 feature_id 16 batch_size 2259 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.3841601895391941 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 1635 feature_id 16 batch_size 4228 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.012165021220222116 subsets 29",
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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 2326 feature_id 16 batch_size 990 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.30353537580743434 subsets 58",
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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 4106 feature_id 16 batch_size 4779 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.8505938366632908 subsets 50",
			        4106,
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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 2813 feature_id 16 batch_size 1864 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.724078692805022 subsets 81",
			        2813,
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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 1040 feature_id 16 batch_size 2997 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.1766509445067495 subsets 13",
			        1040,
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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 16 batch_size 271 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.11345927082188427 subsets 53",
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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 3892 feature_id 16 batch_size 160 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        3892,
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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 1197 feature_id 16 batch_size 61 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 49",
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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 4580 feature_id 16 batch_size 78 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 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 518 feature_id 16 batch_size 79 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 52",
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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 1344 feature_id 16 batch_size 173 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 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 3977 feature_id 16 batch_size 77 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 52",
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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 16 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        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 16 batch_size 102 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 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 4950 feature_id 16 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 58",
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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 3767 feature_id 16 batch_size 167 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 86",
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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 16 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 85",
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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 4343 feature_id 16 batch_size 91 divergence str\\(\\'KL\\'\\) detect_batch 3 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 5000 feature_id 16 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 43",
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			        1745077703.946066,
			        20,
			        2,
			        10
			    ],
			    [
			        1745077705.376335,
			        20,
			        3,
			        15
			    ],
			    [
			        1745077705.9423833,
			        20,
			        3,
			        15
			    ],
			    [
			        1745077712.3754723,
			        20,
			        2,
			        10
			    ],
			    [
			        1745077725.441074,
			        20,
			        1,
			        5
			    ],
			    [
			        1745077725.871301,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078261.7140903,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078262.041264,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078263.4541895,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078263.759163,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078278.5417747,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078278.6173325,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078802.5188582,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078803.0147502,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078804.416706,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078804.996056,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078819.3701284,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078819.8383577,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079367.017175,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079367.338497,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079369.0534549,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079369.6417594,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079383.868274,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079384.051938,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079921.675601,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079922.0131514,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079923.4661689,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079923.756234,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079937.7454638,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079937.8985586,
			        20,
			        1,
			        5
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1744997371,
			        635.88671875,
			        20.4
			    ],
			    [
			        1744997371,
			        635.890625,
			        17
			    ],
			    [
			        1744997372,
			        635.9453125,
			        18
			    ],
			    [
			        1744997372,
			        635.9453125,
			        18.8
			    ],
			    [
			        1744997372,
			        635.9453125,
			        14.8
			    ],
			    [
			        1744997372,
			        635.9453125,
			        19.9
			    ],
			    [
			        1744997372,
			        635.9453125,
			        12.5
			    ],
			    [
			        1744997859,
			        683.76953125,
			        19.7
			    ],
			    [
			        1744997859,
			        683.76953125,
			        28.6
			    ],
			    [
			        1744997859,
			        683.76953125,
			        21
			    ],
			    [
			        1744997859,
			        683.76953125,
			        23.5
			    ],
			    [
			        1745004988,
			        886.23046875,
			        29.9
			    ],
			    [
			        1745004988,
			        886.23046875,
			        30.4
			    ],
			    [
			        1745004988,
			        886.23046875,
			        30.5
			    ],
			    [
			        1745004988,
			        886.23046875,
			        30.6
			    ],
			    [
			        1745013930,
			        949.4140625,
			        31.6
			    ],
			    [
			        1745013930,
			        949.4140625,
			        33.2
			    ],
			    [
			        1745013930,
			        949.4140625,
			        31.3
			    ],
			    [
			        1745013930,
			        949.4140625,
			        35
			    ],
			    [
			        1745021329,
			        943.265625,
			        31.6
			    ],
			    [
			        1745021329,
			        943.265625,
			        32
			    ],
			    [
			        1745021330,
			        943.265625,
			        31.7
			    ],
			    [
			        1745021330,
			        943.265625,
			        31.9
			    ],
			    [
			        1745029894,
			        943.6328125,
			        32
			    ],
			    [
			        1745029894,
			        943.6328125,
			        32.3
			    ],
			    [
			        1745029894,
			        943.6328125,
			        32.7
			    ],
			    [
			        1745029894,
			        943.6328125,
			        32.7
			    ],
			    [
			        1745039726,
			        1005.4140625,
			        31
			    ],
			    [
			        1745039726,
			        1005.4140625,
			        31.5
			    ],
			    [
			        1745039726,
			        1005.4140625,
			        31.9
			    ],
			    [
			        1745039726,
			        1005.4140625,
			        27
			    ],
			    [
			        1745050202,
			        976.3671875,
			        31.6
			    ],
			    [
			        1745050203,
			        976.3671875,
			        33.8
			    ],
			    [
			        1745050203,
			        976.3671875,
			        31.8
			    ],
			    [
			        1745050203,
			        976.3671875,
			        32.7
			    ],
			    [
			        1745059227,
			        990.94140625,
			        31.6
			    ],
			    [
			        1745059227,
			        990.94140625,
			        32.5
			    ],
			    [
			        1745059227,
			        990.94140625,
			        31.9
			    ],
			    [
			        1745059227,
			        990.94140625,
			        28.6
			    ],
			    [
			        1745069046,
			        1024.85546875,
			        31.6
			    ],
			    [
			        1745069046,
			        1024.85546875,
			        32
			    ],
			    [
			        1745069046,
			        1024.85546875,
			        32.1
			    ],
			    [
			        1745069046,
			        1024.85546875,
			        29.4
			    ],
			    [
			        1745079946,
			        1052.1796875,
			        32.3
			    ],
			    [
			        1745079946,
			        1052.1796875,
			        31.9
			    ],
			    [
			        1745079947,
			        1052.1796875,
			        30.4
			    ],
			    [
			        1745079947,
			        1052.1796875,
			        28.8
			    ]
			];
			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>926   </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>426   </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>16</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>100</td>
			<td>580</td>
			<td>7</td>
			<td>687</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_0,0.200000000000000011102230246252,4.000000000000000000000000000000,4755,3169,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.927733533501625018402592104394,29,16
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,7.000000000000000000000000000000,1537,2011,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.376069043807685354785519393772,73,16
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1200,4408,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.103232348861172801290919665007,25,16
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,8.000000000000000000000000000000,2514,732,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.592413053635507780292357438157,80,16
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3202,4026,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.775487707993015695784322360851,7,16
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.330000000000000015543122344752,6.000000000000000000000000000000,591,213,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.293982221208512806143176021578,89,16
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2148,2764,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.192690100999549029925361764981,41,16
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4066,1431,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.736435130152851336049479868961,59,16
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3979,4767,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.510418546855449628552037211193,6,16
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,11.000000000000000000000000000000,2314,954,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.059994276328012345611551126012,100,16
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,112,3585,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.457808439861983051955007795186,49,16
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,6.000000000000000000000000000000,3602,2252,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.970259685272350957951914551813,54,16
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3032,2974,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.662740536957979187171474677598,33,16
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,761,1817,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.142126783741638063052192819669,65,16
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,1664,4290,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.368426829081028694989896621337,14,16
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.270000000000000017763568394003,6.000000000000000000000000000000,4550,614,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.826283293569460508543045307306,82,16
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,7.000000000000000000000000000000,4464,4175,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.157142006279900658949344460780,71,16
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.309999999999999997779553950750,6.000000000000000000000000000000,1745,342,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.646202490989118860653661613469,26,16
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,6.000000000000000000000000000000,832,2933,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.872485536506399483869245159440,77,16
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2956,1620,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.320701755277812472488818684724,22,16
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3518,3625,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.013182240756228567196695067310,92,16
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,192,2448,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.556804194543510710957434639568,10,16
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2384,4884,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.954635621866211314667793885747,62,16
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3903,1227,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.473006107948720444511536697973,44,16
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,11.000000000000000000000000000000,4304,2571,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.278175124835222942198953433035,97,16
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1906,1394,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.790746590310707708759707657009,2,16
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,358,3751,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.689441005945205742655446101708,51,16
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.340000000000000024424906541753,5.000000000000000000000000000000,3430,93,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.239136003715917477840946503420,45,16
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2750,4682,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.422211031716316964601531935841,69,16
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.230000000000000009992007221626,6.000000000000000000000000000000,959,849,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.880190571570768964804187817208,37,16
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,4532,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,5,16
31,31_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3013,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,74,16
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,5.000000000000000000000000000000,4970,100,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,9,16
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,9.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,162.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42,16
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2556,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,77,16
39,39_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,9.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,133,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62,16
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,9.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,4692,506,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64,16
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,8.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
46,46_0,FAILED,BoTorch,GenerationStep_1,,,291,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18,16
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,2269,599,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,3,16
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,69,16
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,79,16
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24,16
53,53_0,FAILED,BoTorch,GenerationStep_1,,,3386,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,24.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20,16
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3861,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,60,16
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,5.000000000000000000000000000000,5000,368,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,9,16
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
58,58_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,16
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,1,904,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,918,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,35,16
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,1713,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,12,16
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,17.000000000000000000000000000000,1815,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,16
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,939,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,16
64,64_0,FAILED,BoTorch,GenerationStep_1,,,3939,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,99,16
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,2716,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49,16
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,314,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,16
67,67_0,FAILED,BoTorch,GenerationStep_1,,,4246,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,87,16
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,2986.000000000000000000000000000000,4541,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,90,16
69,69_0,FAILED,BoTorch,GenerationStep_1,,,4425,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,12.000000000000000000000000000000,1598,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,16
71,71_0,FAILED,BoTorch,GenerationStep_1,,,4489,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,16
72,72_0,FAILED,BoTorch,GenerationStep_1,,,1717,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,97,16
73,73_0,FAILED,BoTorch,GenerationStep_1,,,4504,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2119,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,108.000000000000000000000000000000,2383,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.757775604364405941382187847921,38,16
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4350,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,30,16
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,5.000000000000000000000000000000,4900,33,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,25,16
78,78_0,FAILED,BoTorch,GenerationStep_1,,,4334,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,84,16
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,34.000000000000000000000000000000,1570,35,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,81,16
80,80_0,FAILED,BoTorch,GenerationStep_1,,,4472,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,2216,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54,16
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,2812.000000000000000000000000000000,1622,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,90,16
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1061.000000000000000000000000000000,4950,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,16
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,19.000000000000000000000000000000,816,306,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,95,16
85,85_0,FAILED,BoTorch,GenerationStep_1,,,4147,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63,16
86,86_0,FAILED,BoTorch,GenerationStep_1,,,701,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62,16
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
88,88_0,FAILED,BoTorch,GenerationStep_1,,,1539,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
89,89_0,FAILED,BoTorch,GenerationStep_1,,,2474,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18,16
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,7.000000000000000000000000000000,4167,100,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.059623794020565869244965284679,1,16
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,9.000000000000000000000000000000,1842,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.210451094329984933484212206167,1,16
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,683,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.765879684285266759680155246315,100,16
93,93_0,FAILED,BoTorch,GenerationStep_1,,,3426,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
94,94_0,FAILED,BoTorch,GenerationStep_1,,,133,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.624735868721682185977783774433,1,16
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,6.000000000000000000000000000000,2523,51,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.417077177470043192197834969193,1,16
96,96_0,RUNNING,BoTorch,GenerationStep_1,,,4098,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.478584090499038161681255587609,100,16
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,9.000000000000000000000000000000,4392,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.300190148204168449908024740580,1,16
98,98_0,FAILED,BoTorch,GenerationStep_1,,,4347,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
99,99_0,FAILED,BoTorch,GenerationStep_1,,,4592,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.739149295608710232841076503973,100,16
100,100_0,FAILED,BoTorch,GenerationStep_1,,,4365,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.463605326316199606306867053718,1,16
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,12.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,7.000000000000000000000000000000,2108,199,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.560917930978553136434072712291,1,16
104,104_0,FAILED,BoTorch,GenerationStep_1,,,2954,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,8.000000000000000000000000000000,32,184,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.722061932465233646816216150910,1,16
106,31_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,7.000000000000000000000000000000,2161,17,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.407791852700817858412563055026,1,16
109,109_0,FAILED,BoTorch,GenerationStep_1,,,3680,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,90,16
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3798,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.432680378587377401089497652720,100,16
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,9.000000000000000000000000000000,113,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.147978442559155820568150829786,1,16
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,48.000000000000000000000000000000,1303,187,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.837829886564884773747508006636,100,16
113,113_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,2533,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.667651367548111385197273648373,100,16
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,3121,285,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.618848194914385696385750179616,74,16
116,116_0,FAILED,BoTorch,GenerationStep_1,,,580,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.396194357307301070481031501913,100,16
117,117_0,FAILED,BoTorch,GenerationStep_1,,,4882,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.216980170487970552839485094410,1,16
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,7.000000000000000000000000000000,4398,31,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.322081057295662998019025735630,2,16
119,119_0,FAILED,BoTorch,GenerationStep_1,,,2434,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.509299235551419648970750131411,100,16
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,8.000000000000000000000000000000,1005,386,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60,16
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,503,98,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47,16
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,9.000000000000000000000000000000,834,611,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,16
123,123_0,FAILED,BoTorch,GenerationStep_1,,,4094,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,16
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,7.000000000000000000000000000000,1511,513,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,63,16
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,7.000000000000000000000000000000,1354,256,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54,16
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,177.000000000000000000000000000000,2829,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,43,16
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,10.000000000000000000000000000000,3875,755,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,82,16
128,128_0,FAILED,BoTorch,GenerationStep_1,,,38,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,54,16
129,129_0,FAILED,BoTorch,GenerationStep_1,,,1658,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,515,1044,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,85,16
131,131_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,3434,642,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,8.000000000000000000000000000000,875,690,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,69,16
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,160.000000000000000000000000000000,15,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,42,16
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,5.000000000000000000000000000000,4826,358,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,16
136,136_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2455,2079,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1,1773,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,4616,305,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5,16
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,6.000000000000000000000000000000,39,142,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,42,16
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,502,427,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,81,16
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3248,423,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,8.000000000000000000000000000000,693,445,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62,16
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3591,2531,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,23.000000000000000000000000000000,1656,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,22,16
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,196,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,36,16
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2961,963,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60,16
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3011,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,24.000000000000000000000000000000,1050,424,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,1508,140,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32,16
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,18.000000000000000000000000000000,4741,460,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,17.000000000000000000000000000000,3960,382,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89,16
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,6.000000000000000000000000000000,3972,629,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,6.000000000000000000000000000000,4800,708,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31,16
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,9.000000000000000000000000000000,377,221,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,66,16
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,643,360,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34,16
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,7.000000000000000000000000000000,2127,480,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.392637543310401682106203224976,51,16
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,972,709,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,35,16
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2192,676,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64,16
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2612,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,83,16
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,5.000000000000000000000000000000,186,116,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,16
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,23.000000000000000000000000000000,1,369,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,6.000000000000000000000000000000,4212,1083,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,2116,949,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,16
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,2918,469,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,6.000000000000000000000000000000,4732,764,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,1797,660,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,16
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,930,2222,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,8.000000000000000000000000000000,60,906,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,19.000000000000000000000000000000,1,488,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4430,2358,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,16
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,15.000000000000000000000000000000,807,434,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,92,16
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,2532,534,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.966234488237327271420440411021,32,16
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,8.000000000000000000000000000000,5000,1181,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,992,2501,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,83,16
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4439,2026,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,16
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2792,742,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,7,16
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,1149,834,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,43,16
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62,16
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,255,4915,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.269569256821909686294702623854,94,16
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,661,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,51,16
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4100,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47,16
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3104,4603,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.662032189998666198427201834420,93,16
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,358,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75,16
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,10.000000000000000000000000000000,4792,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,16
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,327,4931,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.002751455506560340422139709915,94,16
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4914,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,29,16
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,2225,4937,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.404100096516234574828274617175,93,16
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,4930,4320,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.954065827987186865222213327797,92,16
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,5.000000000000000000000000000000,1040,121,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49,16
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,2569,74,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,58,16
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,270,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,11,16
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4294,4976,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.270266336248279226417423615203,94,16
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,5.000000000000000000000000000000,3098,98,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53,16
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,169,151,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.535973689969557076651085480989,62,16
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2467,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15,16
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,2388,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,95,16
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,1425,4935,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.683137155792400418974352760415,92,16
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,4251,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,93,16
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,7,16
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,1854,3501,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,92,16
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,2256,178,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.279849233605497571542031209901,51,16
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3736,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,92,16
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4219,4542,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.752397619557109487153923055303,87,16
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4947,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31,16
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,4717,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50,16
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62,16
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,4495,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,91,16
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,7.000000000000000000000000000000,495,49,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.406389968681737212552462779058,32,16
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,1608,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,16
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3262,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.559809179440518556170047759224,65,16
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,443,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.434889424419486581019356208344,13,16
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,1881,135,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43,16
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,27,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,89,16
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,506,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,94,16
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,832.000000000000000000000000000000,362,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,66,16
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,74,16
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,2517,3254,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.411361934317560906659849706557,78,16
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3250,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54,16
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2112,1671,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.460128244339105096916142656482,13,16
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,388,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,600,2875,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77,16
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,3109,93,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.496184047717145471079192020625,14,16
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,226,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,42,16
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,570,189,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.506530539108280608573409153905,27,16
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,6.000000000000000000000000000000,43,26,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.498070872463876435087826166637,10,16
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,721,87,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,82,16
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,861,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.515576132994948310717120421032,20,16
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,961,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.310632272467595782483584798683,68,16
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4380,3108,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31,16
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4294,4317,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,16
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,2837,4135,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,94,16
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,4726,2474,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77,16
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,3976,22,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.328982817836086793850114418092,95,16
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2635,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89,16
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.506675429276403188616484385420,20,16
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3579,1739,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,16
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,10.000000000000000000000000000000,4416,284,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,72,16
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,8.000000000000000000000000000000,830,1402,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,6.000000000000000000000000000000,1835,442,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,3322,1363,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
244,244_0,FAILED,BoTorch,GenerationStep_1,,,3101,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,6.000000000000000000000000000000,4127,287,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,11,16
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,6.000000000000000000000000000000,4162,829,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,9.000000000000000000000000000000,676,2050,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4328,1059,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19,16
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4269,1555,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3927,1129,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,807,983,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
252,252_0,FAILED,BoTorch,GenerationStep_1,,,3056,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2207,593,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23,16
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4436,1826,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,2928,232,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
256,256_0,FAILED,BoTorch,GenerationStep_1,,,3945,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,57,16
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4638,1219,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26,16
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,3367,603,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,8.000000000000000000000000000000,354,2203,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4443,1388,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18,16
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2896,4169,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2432,3213,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,16
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,689,1519,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,16
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,374,3630,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,6.000000000000000000000000000000,2013,750,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,685,2655,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4968,3408,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.485171377199280551284488183228,1,16
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,643,1495,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35,16
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2582,1377,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,16
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,6.000000000000000000000000000000,4835,445,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,41,16
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,3114,2713,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
272,272_0,FAILED,BoTorch,GenerationStep_1,,,4986,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2007,727,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64,16
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,1588,614,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,32,231,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19,16
276,276_0,FAILED,BoTorch,GenerationStep_1,,,1466,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,304,3130,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,50,16
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,128,3004,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,1807,881,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74,16
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,1,3440,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,4137,3730,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,6.000000000000000000000000000000,1657,431,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,83,16
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,5.000000000000000000000000000000,952,358,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,54,16
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,912,2905,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,2193,3983,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,1074,158,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
287,287_0,FAILED,BoTorch,GenerationStep_1,,,93,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58,16
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2275,3467,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,50,16
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,1424,4673,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3913,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2974,3232,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,16
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1231,4049,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,1280,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4878,3444,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4573,4707,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,16
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,8.000000000000000000000000000000,1841,1800,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,1985,2258,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,6.000000000000000000000000000000,4569,430,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,24.000000000000000000000000000000,4288,378,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,5.000000000000000000000000000000,248,121,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,8,16
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,5.000000000000000000000000000000,1,70,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,5000,70,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,79,16
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,6.000000000000000000000000000000,1,56,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
304,304_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,5.000000000000000000000000000000,5000,83,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,5.000000000000000000000000000000,163,162,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,10,16
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,5.000000000000000000000000000000,85,96,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,5,16
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,117,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51,16
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,5.000000000000000000000000000000,7,52,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30,16
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,5000,119,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25,16
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,5.000000000000000000000000000000,4217,97,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,11,16
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,5000,120,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,87,16
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,78,16
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,1,44,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,3,16
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,5.000000000000000000000000000000,1,104,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,917,74,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,8,16
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,4800,36,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,16
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,4714,121,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14,16
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,5000,64,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,16
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,5000,114,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,16
321,321_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,1,36,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,5.000000000000000000000000000000,1,191,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,10,16
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,350,34,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68,16
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,7.000000000000000000000000000000,4983,129,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,53,16
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,1,31,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,309,142,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,7,16
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,5000,157,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23,16
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,6.000000000000000000000000000000,5000,44,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,84,16
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1445.000000000000000000000000000000,3696,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,16
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,2466,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,59,16
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4467,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,16
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1387.000000000000000000000000000000,3418,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,75,16
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4788,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48,16
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,43,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,38,16
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4943,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,67,16
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,10.000000000000000000000000000000,27,618,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,16
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4560,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,57,16
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2116,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.631851112729070130136221905559,40,16
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,73.000000000000000000000000000000,633,23,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,16
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,15.000000000000000000000000000000,4184,74,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,76,16
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1364.000000000000000000000000000000,382,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,16
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1672.000000000000000000000000000000,3363,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78,16
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,2989.000000000000000000000000000000,4933,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,90,16
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1430.000000000000000000000000000000,4574,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,16
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,35,16
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,491,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,16
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4955,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73,16
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39,16
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2745,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74,16
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3395,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.689511896172229299395439738873,58,16
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1454.000000000000000000000000000000,4962,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,16
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1506.000000000000000000000000000000,1006,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,76,16
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,748.000000000000000000000000000000,326,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64,16
355,355_0,RUNNING,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4807,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,69,16
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1599.000000000000000000000000000000,1098,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78,16
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48,16
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,16
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,20.000000000000000000000000000000,246,107,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,22.000000000000000000000000000000,1324,84,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,17.000000000000000000000000000000,556,131,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,16.000000000000000000000000000000,4326,80,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,16
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,19.000000000000000000000000000000,332,89,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,16
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,17.000000000000000000000000000000,1372,104,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,17.000000000000000000000000000000,265,134,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,26.000000000000000000000000000000,89,66,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,24.000000000000000000000000000000,336,73,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,16
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,17.000000000000000000000000000000,1264,149,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,16
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,17.000000000000000000000000000000,617,115,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,17.000000000000000000000000000000,4739,104,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,16
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,20.000000000000000000000000000000,4307,76,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,16
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,19.000000000000000000000000000000,4827,96,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,19.000000000000000000000000000000,4926,112,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,5.000000000000000000000000000000,691,47,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,43,16
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,24.000000000000000000000000000000,4936,70,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,16
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,17.000000000000000000000000000000,206,119,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,16
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,23.000000000000000000000000000000,3022,80,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,12.000000000000000000000000000000,3385,103,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75,16
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,19.000000000000000000000000000000,1330,96,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,24.000000000000000000000000000000,475,60,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,16
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,17.000000000000000000000000000000,4769,123,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,17.000000000000000000000000000000,2638,94,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,70,16
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,4944,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,93,16
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,18.000000000000000000000000000000,437,68,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,70,16
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,50.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,28,16
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,18.000000000000000000000000000000,534,122,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
388,388_0,FAILED,BoTorch,GenerationStep_1,,,603,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,5.000000000000000000000000000000,1,35,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,80,16
390,304_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
391,391_0,FAILED,BoTorch,GenerationStep_1,,,4923,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,7.000000000000000000000000000000,4906,89,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,38,16
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,3307,65,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,59,16
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,16.000000000000000000000000000000,1010,94,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,67,16
395,136_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,4927,40,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,55,16
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,5000,60,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,40,16
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,6.000000000000000000000000000000,4202,94,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,67,16
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,14.000000000000000000000000000000,74,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,16
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,12.000000000000000000000000000000,4863,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,10,16
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,5000,57,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,5.000000000000000000000000000000,41,117,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35,16
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,5.000000000000000000000000000000,1442,71,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20,16
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,1841,101,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,93,16
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,5000,68,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,581,136,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,16
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,7.000000000000000000000000000000,5000,132,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,5.000000000000000000000000000000,5000,103,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29,16
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,929,41,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,60,16
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,5.000000000000000000000000000000,115,63,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68,16
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,4941,68,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,68,16
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,4797,51,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39,16
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,16
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,5.000000000000000000000000000000,4849,59,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,93,16
417,417_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,5.000000000000000000000000000000,4627,64,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20,16
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,5.000000000000000000000000000000,3838,96,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34,16
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1818.000000000000000000000000000000,1603,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.177070998766828163750730595893,80,16
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,579.000000000000000000000000000000,594,6,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,95,16
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1153,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43,16
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17,16
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,300.000000000000000000000000000000,2210,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.008696097936299992253728063929,50,16
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1399.000000000000000000000000000000,3847,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.151284766469556741785851272653,75,16
426,426_0,RUNNING,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,98,16
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,831,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,84,16
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3706,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,54,16
429,429_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,3592.000000000000000000000000000000,550,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,96,16
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1906.000000000000000000000000000000,1834,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,81,16
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3946,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,16
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1622.000000000000000000000000000000,1196,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,78,16
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,386.000000000000000000000000000000,2988,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54,16
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,368.000000000000000000000000000000,2133,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.364948848036911077663546620897,53,16
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2461,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25,16
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,2928,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,39,16
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,3502.000000000000000000000000000000,3243,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,96,16
439,439_0,FAILED,BoTorch,GenerationStep_1,,,4615,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,98,16
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3406,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.529328410092952172938396415702,79,16
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,15.000000000000000000000000000000,3368,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,57,16
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,28.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,22,16
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,3014,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51,16
444,444_0,FAILED,BoTorch,GenerationStep_1,,,929,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.405794737676390293579231638432,79,16
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,2874,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34,16
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,4353,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24,16
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,1654,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,87,16
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,116.000000000000000000000000000000,4435,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.011460399889686811655820086742,37,16
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,1342.000000000000000000000000000000,2203,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,74,16
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,552.000000000000000000000000000000,3163,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,59,16
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,14.000000000000000000000000000000,3043,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,16
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,10.000000000000000000000000000000,1466,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5,16
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,20.000000000000000000000000000000,3522,137,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,77,16
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,45.000000000000000000000000000000,3003,78,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,93,16
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,35.000000000000000000000000000000,4550,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25,16
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,245.000000000000000000000000000000,4591,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47,16
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,8.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,16
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,14.000000000000000000000000000000,44,85,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58,16
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,1845,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,97,16
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.359999999999999986677323704498,6.000000000000000000000000000000,1312,113,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23,16
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,3466.000000000000000000000000000000,616,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,93,16
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,81.000000000000000000000000000000,3785,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34,16
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,14.000000000000000000000000000000,4945,156,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68,16
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,6.000000000000000000000000000000,3942,103,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20,16
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,11.000000000000000000000000000000,4677,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,7,16
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,538.000000000000000000000000000000,3960,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58,16
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,57.000000000000000000000000000000,4732,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,30,16
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,7.000000000000000000000000000000,2802,129,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,41,16
469,321_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,18.000000000000000000000000000000,4363,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,16
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,6.000000000000000000000000000000,4088,63,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25,16
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,43.000000000000000000000000000000,2738,113,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,93,16
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,12.000000000000000000000000000000,4087,106,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60,16
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,4946,141,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,16
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,6.000000000000000000000000000000,1119,105,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,203.000000000000000000000000000000,1283,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,16
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,7.000000000000000000000000000000,4219,63,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34,16
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,11.000000000000000000000000000000,4318,114,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,57,16
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,1942,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,81,16
480,480_0,COMPLETED,Sobol,SOBOL,0.230000000000000009992007221626,8.000000000000000000000000000000,112,844,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.664266710162162765662685615098,12,16
481,481_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,11.000000000000000000000000000000,3136,4633,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.244025369118899104758924067937,95,16
482,482_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,4429,1387,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.370420887766405915186851416365,27,16
483,483_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,1397,2520,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.791267555389553289835191662860,69,16
484,484_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,1937,2075,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.523167903164401648652415133256,47,16
485,485_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,3870,3364,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.069306341104209426284832318288,61,16
486,486_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2582,156,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.441786618726328017547899662532,17,16
487,487_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,647,3789,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.895286503762006802276118833106,77,16
488,488_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,1137,1667,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.830195103209465767868380225991,38,16
489,489_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,3107,2878,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.253532880729064324931698592991,55,16
490,490_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,4322,1104,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.127015840772539384539996376589,25,16
491,491_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,11.000000000000000000000000000000,2345,4972,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.703316389946266995458756809967,83,16
492,492_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,1810,397,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.980979396663606117989786525868,5,16
493,493_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,4876,4108,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.434038956770673389762293936656,90,16
494,494_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,3666,2374,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.061436548113822937733363716006,33,16
495,495_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,598,3741,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.608982317375019177596584540879,73,16
496,496_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,12.000000000000000000000000000000,344,2259,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.384160189539194119046072728452,97,16
497,497_0,RUNNING,Sobol,SOBOL,,,3528,3548,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.960948047118261428067853557877,9,16
498,498_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,4816,595,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.588339935295283833482926638681,66,16
499,499_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,4.000000000000000000000000000000,1635,4228,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.012165021220222116404841017356,29,16
500,500_0,COMPLETED,Sobol,SOBOL,0.209999999999999992228438827624,8.000000000000000000000000000000,2326,990,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.303535375807434337769308285715,58,16
501,501_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,4106,4779,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.850593836663290803201675771561,50,16
502,502_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2813,1864,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.724078692805022017253691046790,81,16
503,503_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,1040,2997,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.176650944506749507656451214643,13,16
504,504_0,COMPLETED,Sobol,SOBOL,0.330000000000000015543122344752,10.000000000000000000000000000000,901,271,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.113459270821884269930812649818,53,16
505,505_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,60.000000000000000000000000000000,3892,160,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
506,506_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,17.000000000000000000000000000000,1197,61,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49,16
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,14.000000000000000000000000000000,4580,78,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,16
508,508_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,9.000000000000000000000000000000,518,79,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,52,16
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,56.000000000000000000000000000000,1344,173,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,16.000000000000000000000000000000,3977,77,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,52,16
511,511_0,FAILED,BoTorch,BOTORCH_MODULAR,,,277,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73,16
512,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,5000,102,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,579.000000000000000000000000000000,4950,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,58,16
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,974.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,65,16
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,963.000000000000000000000000000000,1353,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,63,16
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,772,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,56,16
518,518_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2982,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,81,16
519,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33,16
521,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,500,101,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
523,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,16
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,14.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,5000,185,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
527,527_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,1658.000000000000000000000000000000,122,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,16
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,203.000000000000000000000000000000,637,31,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,79,16
532,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,7.000000000000000000000000000000,1556,37,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,46.000000000000000000000000000000,1,144,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
535,535_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,1,67,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,16
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,11.000000000000000000000000000000,140,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49,16
538,535_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,10.000000000000000000000000000000,5000,54,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,16
540,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,43.000000000000000000000000000000,1,149,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
542,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,31.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20,16
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,105,85,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48,16
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,9.000000000000000000000000000000,3798,35,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33,16
546,546_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1177,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,487,153,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,16
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,7.000000000000000000000000000000,5000,110,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.215192922642003514610564707255,1,16
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
550,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,12.000000000000000000000000000000,573,96,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,57,16
552,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
553,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,16
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,15.000000000000000000000000000000,4683,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,16
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,15.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,11.000000000000000000000000000000,3322,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,9.000000000000000000000000000000,4402,67,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,47,16
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,5000,194,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,8.000000000000000000000000000000,5000,48,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,9.000000000000000000000000000000,5000,255,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,8.000000000000000000000000000000,4218,150,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.309999999999999997779553950750,6.000000000000000000000000000000,305,40,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,16
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,17.000000000000000000000000000000,653,90,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,56,16
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,7.000000000000000000000000000000,5000,145,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,16
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,14.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,5000,52,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,16
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,347.000000000000000000000000000000,4968,19,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,137.000000000000000000000000000000,5000,48,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
569,569_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,41.000000000000000000000000000000,3335,149,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89,16
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,34,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,9,16
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,84.000000000000000000000000000000,3285,114,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
575,575_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2464,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
576,429_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,1673.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,16
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2548,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
579,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
580,429_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
581,581_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2697,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
582,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
583,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
584,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,16
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,532,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,61,16
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,7.000000000000000000000000000000,476,43,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,16
587,429_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
588,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,769.000000000000000000000000000000,338,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58,16
590,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
591,591_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,2971,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,65,16
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,3916,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58,16
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,3459,52,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49,16
595,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
596,596_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3227,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,4299,46,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19,16
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,8.000000000000000000000000000000,994,40,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,88,16
599,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,12.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
601,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
602,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,12.000000000000000000000000000000,4467,90,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,16
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,16.000000000000000000000000000000,4426,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,8,16
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,17.000000000000000000000000000000,4864,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,47,16
606,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
607,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
608,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,81.000000000000000000000000000000,1893,107,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,7.000000000000000000000000000000,4967,57,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20,16
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,1477.000000000000000000000000000000,4731,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,68,16
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,420.000000000000000000000000000000,1,5,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,16
613,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
614,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,86.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31,16
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,76.000000000000000000000000000000,2786,100,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,59,16
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,10.000000000000000000000000000000,4506,169,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,42,16
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,31.000000000000000000000000000000,3767,167,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,16
620,620_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4625,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,4947,147,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32,16
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,33.000000000000000000000000000000,4932,177,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,16
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,29.000000000000000000000000000000,510,148,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,80,16
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,9.000000000000000000000000000000,4736,61,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,6,16
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,6.000000000000000000000000000000,4044,63,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,16
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,3509,46,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31,16
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,3479,55,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,49,16
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,85,16
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,4795,45,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,24,16
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,25,16
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,6.000000000000000000000000000000,3831,59,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,91,16
632,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,11.000000000000000000000000000000,4371,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64,16
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,9.000000000000000000000000000000,4343,91,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44,16
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43,16
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,4885,37,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,16
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,7.000000000000000000000000000000,4520,101,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,16,16
638,638_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,7.000000000000000000000000000000,4595,42,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62,16
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,713,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36,16
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,339,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,16
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,8.000000000000000000000000000000,3661,120,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,16
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,8.000000000000000000000000000000,3116,84,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58,16
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,480,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,16
644,644_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,2344,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,8,16
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,4254,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,10,16
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,8.000000000000000000000000000000,3128,46,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,29,16
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,15.000000000000000000000000000000,4318,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,7,16
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,321,75,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,90,16
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,7.000000000000000000000000000000,3206,82,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62,16
650,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,1220,68,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,80,16
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,5.000000000000000000000000000000,4843,60,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33,16
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,3719,85,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25,16
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,49,16
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,11.000000000000000000000000000000,745,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,92,16
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62,16
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,11.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68,16
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,43,16
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,4415,40,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,16
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,7.000000000000000000000000000000,4709,73,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,52,16
661,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,1224,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,67,16
663,663_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,16
664,664_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,301.000000000000000000000000000000,4707,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,46,16
665,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,561.000000000000000000000000000000,4517,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54,16
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,226.000000000000000000000000000000,4639,35,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.971115470737536345957607863966,100,16
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,16
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,419.000000000000000000000000000000,1,13,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
671,671_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,783.000000000000000000000000000000,4295,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60,16
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,7.000000000000000000000000000000,3419,46,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,16
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,570.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55,16
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,7.000000000000000000000000000000,4416,20,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44,16
675,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,3197,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,88,16
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,440.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51,16
678,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,3242,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,6,16
680,680_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3275,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,15.000000000000000000000000000000,4822,133,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,61,16
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,1880,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,6,16
683,574_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,16
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,7.000000000000000000000000000000,982,94,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,94,16
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,315.000000000000000000000000000000,281,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48,16
686,686_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4546,80,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,6,16
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552258/4552258_0_log.err not found


⚠ Job 4552028 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552028/4552028_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552028/4552028_0_log.out
----------------------------------------
submitit INFO (2025-04-18 20:48:38,883) - Starting with JobEnvironment(job_id=4552028, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 20:48:38,888) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552028/4552028_submitted.pkl
slurmstepd: error: *** JOB 4552028 ON i7173 CANCELLED AT 2025-04-18T21:18:46 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552028/4552028_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4554543/4554543_0_log.err not found


⚠ Job 4553992 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553992/4553992_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553992/4553992_0_log.out
----------------------------------------
submitit INFO (2025-04-18 21:27:39,786) - Starting with JobEnvironment(job_id=4553992, hostname=i7168, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 21:27:39,787) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553992/4553992_submitted.pkl
slurmstepd: error: *** JOB 4553992 ON i7168 CANCELLED AT 2025-04-18T21:57:47 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553992/4553992_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556563/4556563_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4558515/4558515_0_log.err not found


⚠ Job 4557189 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557189/4557189_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557189/4557189_0_log.out
----------------------------------------
submitit INFO (2025-04-18 22:25:59,835) - Starting with JobEnvironment(job_id=4557189, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-18 22:25:59,846) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557189/4557189_submitted.pkl
slurmstepd: error: *** JOB 4557189 ON i7185 CANCELLED AT 2025-04-18T22:56:21 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557189/4557189_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560112/4560112_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561086/4561086_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562148/4562148_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562838/4562838_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563419/4563419_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564521/4564521_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565699/4565699_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566277/4566277_0_log.err not found


⚠ Job 4566583 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566583/4566583_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566583/4566583_0_log.out
----------------------------------------
submitit INFO (2025-04-19 01:29:43,539) - Starting with JobEnvironment(job_id=4566583, hostname=i7170, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 01:29:43,548) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566583/4566583_submitted.pkl
slurmstepd: error: *** JOB 4566583 ON i7170 CANCELLED AT 2025-04-19T01:59:58 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566583/4566583_0_log.err not found


⚠ Job 4571795 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571795/4571795_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571795/4571795_0_log.out
----------------------------------------
submitit INFO (2025-04-19 03:23:47,187) - Starting with JobEnvironment(job_id=4571795, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 03:23:47,199) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571795/4571795_submitted.pkl
slurmstepd: error: *** JOB 4571795 ON i7185 CANCELLED AT 2025-04-19T03:54:02 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571795/4571795_0_log.err not found


⚠ Job 4573074 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573074/4573074_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573074/4573074_0_log.out
----------------------------------------
submitit INFO (2025-04-19 03:52:34,919) - Starting with JobEnvironment(job_id=4573074, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 03:52:34,927) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573074/4573074_submitted.pkl
slurmstepd: error: *** JOB 4573074 ON i7185 CANCELLED AT 2025-04-19T04:22:32 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573074/4573074_0_log.err not found


⚠ Job 4573369 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573369/4573369_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573369/4573369_0_log.out
----------------------------------------
submitit INFO (2025-04-19 03:58:27,706) - Starting with JobEnvironment(job_id=4573369, hostname=i7168, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 03:58:27,724) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573369/4573369_submitted.pkl
slurmstepd: error: *** JOB 4573369 ON i7168 CANCELLED AT 2025-04-19T04:28:32 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573369/4573369_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574506/4574506_0_log.err not found


⚠ Job 4573890 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573890/4573890_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573890/4573890_0_log.out
----------------------------------------
submitit INFO (2025-04-19 04:10:17,793) - Starting with JobEnvironment(job_id=4573890, hostname=i7169, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 04:10:17,795) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573890/4573890_submitted.pkl
slurmstepd: error: *** JOB 4573890 ON i7169 CANCELLED AT 2025-04-19T04:40:34 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573890/4573890_0_log.err not found


⚠ Job 4574781 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574781/4574781_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574781/4574781_0_log.out
----------------------------------------
submitit INFO (2025-04-19 04:30:48,450) - Starting with JobEnvironment(job_id=4574781, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 04:30:48,456) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574781/4574781_submitted.pkl
slurmstepd: error: *** JOB 4574781 ON i7185 CANCELLED AT 2025-04-19T05:01:04 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574781/4574781_0_log.err not found


⚠ Job 4576420 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576420/4576420_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576420/4576420_0_log.out
----------------------------------------
submitit INFO (2025-04-19 05:08:48,863) - Starting with JobEnvironment(job_id=4576420, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 05:08:48,865) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576420/4576420_submitted.pkl
slurmstepd: error: *** JOB 4576420 ON i7173 CANCELLED AT 2025-04-19T05:39:05 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576420/4576420_0_log.err not found


⚠ Job 4576705 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576705/4576705_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576705/4576705_0_log.out
----------------------------------------
submitit INFO (2025-04-19 05:15:49,094) - Starting with JobEnvironment(job_id=4576705, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 05:15:49,097) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576705/4576705_submitted.pkl
slurmstepd: error: *** JOB 4576705 ON i7185 CANCELLED AT 2025-04-19T05:46:05 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576705/4576705_0_log.err not found


⚠ Job 4576987 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576987/4576987_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576987/4576987_0_log.out
----------------------------------------
submitit INFO (2025-04-19 05:22:49,031) - Starting with JobEnvironment(job_id=4576987, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 05:22:49,035) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576987/4576987_submitted.pkl
slurmstepd: error: *** JOB 4576987 ON i7185 CANCELLED AT 2025-04-19T05:53:06 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576987/4576987_0_log.err not found


⚠ Job 4577181 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577181/4577181_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577181/4577181_0_log.out
----------------------------------------
submitit INFO (2025-04-19 05:27:29,089) - Starting with JobEnvironment(job_id=4577181, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 05:27:29,091) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577181/4577181_submitted.pkl
slurmstepd: error: *** JOB 4577181 ON i7173 CANCELLED AT 2025-04-19T05:57:36 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577181/4577181_0_log.err not found


⚠ Job 4577391 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577391/4577391_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577391/4577391_0_log.out
----------------------------------------
submitit INFO (2025-04-19 05:33:09,764) - Starting with JobEnvironment(job_id=4577391, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 05:33:09,766) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577391/4577391_submitted.pkl
slurmstepd: error: *** JOB 4577391 ON i7185 CANCELLED AT 2025-04-19T06:03:36 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577391/4577391_0_log.err not found


⚠ Job 4578222 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578222/4578222_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578222/4578222_0_log.out
----------------------------------------
submitit INFO (2025-04-19 05:53:30,127) - Starting with JobEnvironment(job_id=4578222, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 05:53:30,135) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578222/4578222_submitted.pkl
slurmstepd: error: *** JOB 4578222 ON i7180 CANCELLED AT 2025-04-19T06:23:36 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578222/4578222_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579412/4579412_0_log.err not found


⚠ Job 4578608 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578608/4578608_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578608/4578608_0_log.out
----------------------------------------
submitit INFO (2025-04-19 06:02:19,760) - Starting with JobEnvironment(job_id=4578608, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 06:02:19,764) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578608/4578608_submitted.pkl
slurmstepd: error: *** JOB 4578608 ON i7173 CANCELLED AT 2025-04-19T06:32:37 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578608/4578608_0_log.err not found


⚠ Job 4579187 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579187/4579187_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579187/4579187_0_log.out
----------------------------------------
submitit INFO (2025-04-19 06:17:10,363) - Starting with JobEnvironment(job_id=4579187, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 06:17:10,365) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579187/4579187_submitted.pkl
slurmstepd: error: *** JOB 4579187 ON i7173 CANCELLED AT 2025-04-19T06:47:37 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579187/4579187_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580681/4580681_0_log.err not found


⚠ Job 4580401 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580401/4580401_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580401/4580401_0_log.out
----------------------------------------
submitit INFO (2025-04-19 06:49:50,622) - Starting with JobEnvironment(job_id=4580401, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 06:49:50,624) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580401/4580401_submitted.pkl
slurmstepd: error: *** JOB 4580401 ON i7185 CANCELLED AT 2025-04-19T07:20:09 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580401/4580401_0_log.err not found


⚠ Job 4581422 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581422/4581422_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581422/4581422_0_log.out
----------------------------------------
submitit INFO (2025-04-19 07:15:10,717) - Starting with JobEnvironment(job_id=4581422, hostname=i7169, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 07:15:10,720) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581422/4581422_submitted.pkl
slurmstepd: error: *** JOB 4581422 ON i7169 CANCELLED AT 2025-04-19T07:45:09 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581422/4581422_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583297/4583297_0_log.err not found


⚠ Job 4582991 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582991/4582991_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582991/4582991_0_log.out
----------------------------------------
submitit INFO (2025-04-19 07:59:12,467) - Starting with JobEnvironment(job_id=4582991, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 07:59:12,472) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582991/4582991_submitted.pkl
slurmstepd: error: *** JOB 4582991 ON i7185 CANCELLED AT 2025-04-19T08:29:14 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582991/4582991_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584459/4584459_0_log.err not found


⚠ Job 4584831 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584831/4584831_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584831/4584831_0_log.out
----------------------------------------
submitit INFO (2025-04-19 08:44:53,285) - Starting with JobEnvironment(job_id=4584831, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 08:44:53,288) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584831/4584831_submitted.pkl
slurmstepd: error: *** JOB 4584831 ON i7180 CANCELLED AT 2025-04-19T09:15:14 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584831/4584831_0_log.err not found


⚠ Job 4585047 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585047/4585047_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585047/4585047_0_log.out
----------------------------------------
submitit INFO (2025-04-19 08:50:52,574) - Starting with JobEnvironment(job_id=4585047, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 08:50:52,578) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585047/4585047_submitted.pkl
slurmstepd: error: *** JOB 4585047 ON i7180 CANCELLED AT 2025-04-19T09:21:14 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585047/4585047_0_log.err not found


⚠ Job 4586188 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586188/4586188_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586188/4586188_0_log.out
----------------------------------------
submitit INFO (2025-04-19 09:25:13,082) - Starting with JobEnvironment(job_id=4586188, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 09:25:13,085) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586188/4586188_submitted.pkl
slurmstepd: error: *** JOB 4586188 ON i7173 CANCELLED AT 2025-04-19T09:55:16 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586188/4586188_0_log.err not found


⚠ Job 4586403 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586403/4586403_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586403/4586403_0_log.out
----------------------------------------
submitit INFO (2025-04-19 09:31:12,966) - Starting with JobEnvironment(job_id=4586403, hostname=i7170, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 09:31:12,968) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586403/4586403_submitted.pkl
slurmstepd: error: *** JOB 4586403 ON i7170 CANCELLED AT 2025-04-19T10:01:16 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586403/4586403_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588010/4588010_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4590816/4590816_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4595348/4595348_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4598259/4598259_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4599302/4599302_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601987/4601987_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4602767/4602767_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4603321/4603321_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_16_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0 </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                   </td></tr><tr><td> run_dir</td><td>runs                                                                                                                                   </td></tr><tr><td> seed</td><td>None                                                                                                                                   </td></tr><tr><td> decimalrounding</td><td>4                                                                                                                                      </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                                  </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                                  </td></tr><tr><td> model</td><td>None                                                                                                                                   </td></tr><tr><td> gridsearch</td><td>False                                                                                                                                  </td></tr><tr><td> occ</td><td>False                                                                                                                                  </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                                  </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                                  </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                                  </td></tr><tr><td> follow</td><td>False                                                                                                                                  </td></tr><tr><td> send_anonymized_usage_stats</td><td>False                                                                                                                                  </td></tr><tr><td> ui_url</td><td>None                                                                                                                                   </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                         </td></tr><tr><td> exclude</td><td>None                                                                                                                                   </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                      </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                                      </td></tr><tr><td> max_nr_of_zero_results</td><td>10                                                                                                                                     </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                                  </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                                   </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                                  </td></tr><tr><td> live_share</td><td>False                                                                                                                                  </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                                  </td></tr><tr><td> workdir</td><td>False                                                                                                                                  </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                                 </td></tr><tr><td> result_names</td><td>[&#039;RESULT=min&#039;]                                                                                                                         </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                      </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                                   </td></tr><tr><td> generate_all_jobs_at_once</td><td>False                                                                                                                                  </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                                   </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                                     </td></tr><tr><td> n_estimators_randomforest</td><td>100                                                                                                                                    </td></tr><tr><td> external_generator</td><td>None                                                                                                                                   </td></tr><tr><td> username</td><td>None                                                                                                                                   </td></tr><tr><td> max_failed_jobs</td><td>None                                                                                                                                   </td></tr><tr><td> num_parallel_jobs</td><td>20                                                                                                                                     </td></tr><tr><td> worker_timeout</td><td>30                                                                                                                                     </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                                  </td></tr><tr><td> time</td><td></td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None                                                                                                                                   </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                                  </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                                      </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                                      </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                                      </td></tr><tr><td> account</td><td>None                                                                                                                                   </td></tr><tr><td> gpus</td><td>0                                                                                                                                      </td></tr><tr><td> run_mode</td><td>local                                                                                                                                  </td></tr><tr><td> verbose</td><td>False                                                                                                                                  </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                                  </td></tr><tr><td> debug</td><td>False                                                                                                                                  </td></tr><tr><td> no_sleep</td><td>False                                                                                                                                  </td></tr><tr><td> tests</td><td>False                                                                                                                                  </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                                  </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                                  </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                                  </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                                  </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                                  </td></tr></tbody></table>
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
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1745049755.6201127,20,0,0
1745050183.8743558,20,0,0
1745050184.0879884,20,0,0
1745050185.522384,20,1,5
1745050193.9427645,20,1,5
1745050203.2929215,20,1,5
1745050215.9629517,20,1,5
1745050229.0181575,20,1,5
1745050242.3649251,20,1,5
1745050247.9118152,20,1,5
1745050256.7728393,20,0,0
1745050269.7132764,20,0,0
1745050709.7522469,20,0,0
1745050709.9750867,20,0,0
1745050711.4079027,20,1,5
1745050719.8265107,20,1,5
1745051169.8582923,20,1,5
1745051170.1872406,20,1,5
1745051171.6853967,20,2,10
1745051172.0226624,20,2,10
1745051185.7072604,20,1,5
1745051185.8899748,20,1,5
1745051561.2768116,20,1,5
1745051561.6757727,20,1,5
1745051563.0805886,20,2,10
1745051563.6402338,20,2,10
1745051576.6566713,20,1,5
1745051576.8579342,20,1,5
1745051964.18996,20,1,5
1745051965.6050835,20,1,5
1745051967.0660353,20,2,10
1745051967.6288223,20,2,10
1745051980.6244745,20,1,5
1745051980.88227,20,1,5
1745052477.347946,20,1,5
1745052477.9541,20,1,5
1745052479.4270418,20,2,10
1745052479.9975398,20,2,10
1745052492.9542944,20,1,5
1745052493.1458673,20,1,5
1745052869.5134096,20,1,5
1745052870.0134268,20,1,5
1745052871.4783685,20,2,10
1745052872.033017,20,2,10
1745052885.131419,20,1,5
1745052885.2050493,20,1,5
1745053318.6339445,20,1,5
1745053319.0201063,20,1,5
1745053320.4471326,20,2,10
1745053321.063554,20,2,10
1745053333.7303905,20,1,5
1745053333.910536,20,1,5
1745053703.4588003,20,1,5
1745053703.9996796,20,1,5
1745053705.4234955,20,2,10
1745053706.0393636,20,2,10
1745053718.942823,20,1,5
1745053719.1217945,20,1,5
1745054171.812292,20,1,5
1745054173.2172627,20,1,5
1745054175.0310893,20,2,10
1745054175.5772676,20,2,10
1745054188.5690763,20,1,5
1745054188.6428258,20,1,5
1745054565.9437454,20,1,5
1745054566.269402,20,1,5
1745054568.0178895,20,2,10
1745054568.5781798,20,2,10
1745054581.8135116,20,1,5
1745054582.0013316,20,1,5
1745054969.924521,20,1,5
1745054970.2486067,20,1,5
1745054971.9583077,20,2,10
1745054972.5320992,20,2,10
1745054985.9023001,20,1,5
1745054986.0903797,20,1,5
1745055454.4448674,20,1,5
1745055454.999972,20,1,5
1745055456.4075131,20,2,10
1745055456.967969,20,2,10
1745055469.7580729,20,1,5
1745055470.9763815,20,1,5
1745055891.3261359,20,1,5
1745055891.9381685,20,1,5
1745055893.3681476,20,2,10
1745055893.9473662,20,2,10
1745055907.5678566,20,1,5
1745055907.8832185,20,1,5
1745056394.7234619,20,1,5
1745056395.0641358,20,1,5
1745056396.5185287,20,2,10
1745056396.840348,20,2,10
1745056411.1499434,20,1,5
1745056411.335799,20,1,5
1745056771.0480754,20,1,5
1745056771.3776796,20,1,5
1745056773.0769436,20,2,10
1745056773.6392734,20,2,10
1745056786.275285,20,1,5
1745056786.5195665,20,1,5
1745057255.269128,20,1,5
1745057255.6538076,20,1,5
1745057257.1079483,20,2,10
1745057257.6660664,20,2,10
1745057270.8441052,20,1,5
1745057271.0237694,20,1,5
1745057771.4138055,20,1,5
1745057772.007862,20,1,5
1745057773.42747,20,2,10
1745057773.9936278,20,2,10
1745057786.6750617,20,1,5
1745057786.8788147,20,1,5
1745058208.3927352,20,1,5
1745058208.9843364,20,1,5
1745058210.442594,20,2,10
1745058211.0368793,20,2,10
1745058224.5991108,20,1,5
1745058224.8639574,20,1,5
1745058772.318084,20,1,5
1745058772.9053323,20,1,5
1745058774.3627505,20,2,10
1745058774.9275303,20,2,10
1745058787.755214,20,1,5
1745058787.934083,20,1,5
1745059202.4099739,20,1,5
1745059203.0598965,20,1,5
1745059204.49089,20,2,10
1745059205.0025308,20,2,10
1745059218.6785665,20,1,5
1745059218.9382868,20,1,5
1745059227.9902644,20,1,5
1745059241.9298434,20,1,5
1745059255.4854262,20,1,5
1745059261.032071,20,1,5
1745059269.4892323,20,0,0
1745059283.9982967,20,0,0
1745059794.694063,20,0,0
1745059794.9135416,20,0,0
1745059796.5631807,20,1,5
1745059805.403779,20,1,5
1745060160.3686435,20,1,5
1745060161.019496,20,1,5
1745060162.4652698,20,2,10
1745060163.0509305,20,2,10
1745060176.6356328,20,1,5
1745060176.8921437,20,1,5
1745060649.4903414,20,1,5
1745060650.0153718,20,1,5
1745060651.448903,20,2,10
1745060652.0126956,20,2,10
1745060665.0248048,20,1,5
1745060665.2116482,20,1,5
1745061109.0547426,20,1,5
1745061109.3819036,20,1,5
1745061111.0654151,20,2,10
1745061111.6351047,20,2,10
1745061125.2376015,20,1,5
1745061125.4249785,20,1,5
1745061560.145244,20,1,5
1745061560.4758525,20,1,5
1745061562.0810292,20,2,10
1745061562.6443317,20,2,10
1745061575.959849,20,1,5
1745061576.1403027,20,1,5
1745062036.8277082,20,1,5
1745062037.1567833,20,1,5
1745062038.664721,20,2,10
1745062039.229272,20,2,10
1745062051.8144872,20,1,5
1745062052.0017564,20,1,5
1745062492.2445436,20,1,5
1745062492.5719435,20,1,5
1745062494.0885825,20,2,10
1745062494.6540153,20,2,10
1745062508.6012192,20,1,5
1745062508.8791265,20,1,5
1745063004.6829162,20,1,5
1745063005.0197558,20,1,5
1745063006.5156124,20,2,10
1745063007.079377,20,2,10
1745063020.63378,20,1,5
1745063020.8769546,20,1,5
1745063545.031098,20,1,5
1745063545.37934,20,1,5
1745063547.0596173,20,2,10
1745063547.6272528,20,2,10
1745063561.538981,20,1,5
1745063561.8691313,20,1,5
1745063971.236647,20,1,5
1745063971.5769196,20,1,5
1745063973.0798485,20,2,10
1745063973.6879697,20,2,10
1745063987.6858172,20,1,5
1745063988.0797467,20,1,5
1745064406.6007068,20,1,5
1745064406.9992843,20,1,5
1745064408.436771,20,2,10
1745064409.0269651,20,2,10
1745064422.8508244,20,1,5
1745064423.0417635,20,1,5
1745064884.7032704,20,1,5
1745064885.046497,20,1,5
1745064886.4565558,20,2,10
1745064886.77814,20,2,10
1745064900.7728667,20,1,5
1745064900.9643073,20,1,5
1745065246.5465226,20,1,5
1745065247.0103974,20,1,5
1745065248.4472344,20,2,10
1745065249.00712,20,2,10
1745065261.2741103,20,1,5
1745065261.525716,20,1,5
1745065736.5663466,20,1,5
1745065737.0149753,20,1,5
1745065738.4641333,20,2,10
1745065739.0304246,20,2,10
1745065753.850304,20,1,5
1745065754.036173,20,1,5
1745066259.6832268,20,1,5
1745066260.019767,20,1,5
1745066261.4359834,20,2,10
1745066262.0183496,20,2,10
1745066275.6487532,20,1,5
1745066275.8664584,20,1,5
1745066803.973357,20,1,5
1745066804.2941542,20,1,5
1745066806.0388618,20,2,10
1745066806.6033487,20,2,10
1745066820.198794,20,1,5
1745066820.3929589,20,1,5
1745067306.3737373,20,1,5
1745067306.9784217,20,1,5
1745067308.4142733,20,2,10
1745067308.993257,20,2,10
1745067322.7724009,20,1,5
1745067322.9672236,20,1,5
1745067889.2907116,20,1,5
1745067889.6919074,20,1,5
1745067891.088991,20,2,10
1745067891.6653194,20,2,10
1745067907.3520582,20,1,5
1745067907.818912,20,1,5
1745068538.6749623,20,1,5
1745068539.006752,20,1,5
1745068540.4524124,20,2,10
1745068541.0550535,20,2,10
1745068554.6219652,20,1,5
1745068554.8765137,20,1,5
1745069021.3952649,20,1,5
1745069021.9734297,20,1,5
1745069023.3816779,20,2,10
1745069023.8932323,20,2,10
1745069037.2894533,20,1,5
1745069037.6055365,20,1,5
1745069047.0148482,20,1,5
1745069061.209527,20,1,5
1745069074.463759,20,1,5
1745069079.9921787,20,1,5
1745069090.1098986,20,0,0
1745069103.2424455,20,0,0
1745069636.031796,20,0,0
1745069636.2644722,20,0,0
1745069638.0185013,20,1,5
1745069647.3524172,20,1,5
1745070053.7333317,20,1,5
1745070054.0587535,20,1,5
1745070055.489526,20,2,10
1745070056.0401483,20,2,10
1745070069.9579413,20,1,5
1745070070.139814,20,1,5
1745070638.6190712,20,1,5
1745070639.0003908,20,1,5
1745070640.4217398,20,2,10
1745070640.7855148,20,2,10
1745070655.2669036,20,1,5
1745070655.3391278,20,1,5
1745071082.1188898,20,1,5
1745071082.4363642,20,1,5
1745071085.3037574,20,2,10
1745071085.8549156,20,2,10
1745071099.0284736,20,1,5
1745071099.2119994,20,1,5
1745071593.7196054,20,1,5
1745071594.0650768,20,1,5
1745071595.46595,20,2,10
1745071596.0825846,20,2,10
1745071609.8301778,20,1,5
1745071610.0121849,20,1,5
1745072145.2997878,20,1,5
1745072145.76438,20,1,5
1745072147.1853101,20,2,10
1745072147.7703488,20,2,10
1745072162.1911073,20,1,5
1745072162.3846843,20,1,5
1745072669.3689833,20,1,5
1745072669.9705334,20,1,5
1745072671.4232223,20,2,10
1745072671.7842927,20,2,10
1745072687.1254826,20,1,5
1745072687.2235267,20,1,5
1745073152.9946542,20,1,5
1745073153.3214982,20,1,5
1745073155.06267,20,2,10
1745073168.202991,20,2,10
1745073630.9872375,20,2,10
1745073631.3104537,20,2,10
1745073633.09247,20,3,15
1745073633.6642292,20,3,15
1745073638.8497548,20,2,10
1745073653.0460093,20,1,5
1745073653.246162,20,1,5
1745074182.071251,20,1,5
1745074182.3945234,20,1,5
1745074184.069351,20,2,10
1745074184.652857,20,2,10
1745074199.2962928,20,1,5
1745074199.658551,20,1,5
1745074753.5783,20,1,5
1745074754.0228488,20,1,5
1745074755.4839027,20,2,10
1745074756.0529795,20,2,10
1745074770.442949,20,1,5
1745074770.876957,20,1,5
1745075451.8281455,20,1,5
1745075452.1457293,20,1,5
1745075453.5585444,20,2,10
1745075454.117982,20,2,10
1745075468.0520236,20,1,5
1745075468.2445278,20,1,5
1745076027.7996905,20,1,5
1745076028.1313255,20,1,5
1745076030.8732865,20,2,10
1745076044.7569666,20,2,10
1745076601.6477115,20,2,10
1745076601.9639745,20,2,10
1745076605.0119715,20,3,15
1745076605.5868134,20,3,15
1745076611.9012232,20,2,10
1745076624.7605608,20,1,5
1745076624.9539356,20,1,5
1745077149.6679401,20,1,5
1745077150.0034242,20,1,5
1745077151.4348078,20,2,10
1745077164.9157972,20,2,10
1745077703.3821292,20,2,10
1745077703.946066,20,2,10
1745077705.376335,20,3,15
1745077705.9423833,20,3,15
1745077712.3754723,20,2,10
1745077725.441074,20,1,5
1745077725.871301,20,1,5
1745078261.7140903,20,1,5
1745078262.041264,20,1,5
1745078263.4541895,20,2,10
1745078263.759163,20,2,10
1745078278.5417747,20,1,5
1745078278.6173325,20,1,5
1745078802.5188582,20,1,5
1745078803.0147502,20,1,5
1745078804.416706,20,2,10
1745078804.996056,20,2,10
1745078819.3701284,20,1,5
1745078819.8383577,20,1,5
1745079367.017175,20,1,5
1745079367.338497,20,1,5
1745079369.0534549,20,2,10
1745079369.6417594,20,2,10
1745079383.868274,20,1,5
1745079384.051938,20,1,5
1745079921.675601,20,1,5
1745079922.0131514,20,1,5
1745079923.4661689,20,2,10
1745079923.756234,20,2,10
1745079937.7454638,20,1,5
1745079937.8985586,20,1,5
</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
1744997371,635.88671875,20.4
1744997371,635.890625,17.0
1744997372,635.9453125,18.0
1744997372,635.9453125,18.8
1744997372,635.9453125,14.8
1744997372,635.9453125,19.9
1744997372,635.9453125,12.5
1744997859,683.76953125,19.7
1744997859,683.76953125,28.6
1744997859,683.76953125,21.0
1744997859,683.76953125,23.5
1745004988,886.23046875,29.9
1745004988,886.23046875,30.4
1745004988,886.23046875,30.5
1745004988,886.23046875,30.6
1745013930,949.4140625,31.6
1745013930,949.4140625,33.2
1745013930,949.4140625,31.3
1745013930,949.4140625,35.0
1745021329,943.265625,31.6
1745021329,943.265625,32.0
1745021330,943.265625,31.7
1745021330,943.265625,31.9
1745029894,943.6328125,32.0
1745029894,943.6328125,32.3
1745029894,943.6328125,32.7
1745029894,943.6328125,32.7
1745039726,1005.4140625,31.0
1745039726,1005.4140625,31.5
1745039726,1005.4140625,31.9
1745039726,1005.4140625,27.0
1745050202,976.3671875,31.6
1745050203,976.3671875,33.8
1745050203,976.3671875,31.8
1745050203,976.3671875,32.7
1745059227,990.94140625,31.6
1745059227,990.94140625,32.5
1745059227,990.94140625,31.9
1745059227,990.94140625,28.6
1745069046,1024.85546875,31.6
1745069046,1024.85546875,32.0
1745069046,1024.85546875,32.1
1745069046,1024.85546875,29.4
1745079946,1052.1796875,32.3
1745079946,1052.1796875,31.9
1745079947,1052.1796875,30.4
1745079947,1052.1796875,28.8
</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>
</html>

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