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_0,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,411,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.497357181072235088326038976447,18,36
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,7.000000000000000000000000000000,1746,2797,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.935244008436799001415806742443,78,36
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,1055,2141,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.538034532014280530987093698059,40,36
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2879,4838,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.099291125532239676854118215488,55,36
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3337,1826,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.270037271883338703126753443939,34,36
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,6.000000000000000000000000000000,241,3894,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.835110581789165751231962531165,73,36
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,5.000000000000000000000000000000,1892,741,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.701030412063002539291289849643,10,36
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,10.000000000000000000000000000000,3874,3747,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.138998941950499999009593921073,97,36
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4071,2398,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.007420415483415127022581714300,29,36
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2324,4387,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.567533153131604239938212685956,65,36
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,7.000000000000000000000000000000,516,43,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.964740722302347419869761324662,2,36
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3691,2970,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.405484582360833900605001645090,92,36
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,6.000000000000000000000000000000,2603,992,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.234740488257259127813370014337,22,36
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,701,3300,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.667666665289550986805977572658,86,36
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1549,1453,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.801744935199618313781400047446,48,36
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4568,4072,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.365776903502643135901450932579,60,36
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4475,1304,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.645767012057825939841393392271,81,36
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,1320,4231,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.209856093814596522673099343592,15,36
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,920,1137,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.328346320608630781734404990857,52,36
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2687,3126,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.761207784922793506687810349831,44,36
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,14.000000000000000000000000000000,3442,211,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.621652975382283368155356129137,69,36
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,442,2830,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.062453934023156763843953598325,37,36
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,11.000000000000000000000000000000,2388,2233,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.412885967513546336959961990942,100,36
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,4310,4541,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.972933977572247421505835518474,7,36
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,6.000000000000000000000000000000,3956,880,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.857008329628035414593512086867,68,36
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2112,3577,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.294919760933145869152838258742,26,36
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,9.000000000000000000000000000000,11,1672,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.176431433955207467301207202581,89,36
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3245,4058,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.741569471450522543776173733932,5,36
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,8.000000000000000000000000000000,3119,1982,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.881122288228943895127542873524,83,36
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1118,4988,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.442321768293157224771761093507,25,36
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,731,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,36
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,427,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.903903653382608474053938607540,1,36
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,4415,222,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,28,36
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4989,1223,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,9,36
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,7.000000000000000000000000000000,5000,34,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.004369792899340644437566893998,1,36
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1293,3714,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49,36
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,296,235,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,36
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,386,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,36
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,7.000000000000000000000000000000,5000,1213,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,36
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,5000,100,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18,36
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,781,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,36
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,1,5,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,67,36
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4903,1270,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,11,36
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,4369,809,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,36
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,59,36
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,43,36
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,1,226,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,2,36
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,4274,271,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,36
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20,36
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1777,916,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,36
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,1,612,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43,36
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,56,36
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,5000,269,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,35,36
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2950,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62,36
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1278,375,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,36
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,1,972,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,36
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,1,10,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,36
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,908,1562,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,36
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3580,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48,36
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,36
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,2326,20,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.576370053242540758553502655559,1,36
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,3411,56,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.521856878617747765858325692534,10,36
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3367,2439,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.664835936784210268513106711907,24,36
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,660,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.554034696904332601974374483689,14,36
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,2731,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.733516871488434918369136994443,21,36
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,763,3604,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.687259721988146443649725370051,87,36
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,5000,3,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.521559644459561599916241902974,1,36
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,79,3527,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.450279376939642039801015016565,67,36
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3524,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.469891786707106851039839057194,6,36
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,1489,16,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.602993578830086085496020587016,1,36
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4952,3394,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.714562012488741626903276937810,25,36
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2458,2,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,92,36
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1766,4013,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.749214659149414874406147646368,85,36
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1478,2997,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.589243038258298823528491539037,5,36
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,149,2282,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.561883449062005380092443829199,19,36
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3777,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.873725067138626521057176432805,15,36
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2929,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.776098657160425919876445277623,29,36
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3481,3981,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.740916437469230304557754607231,5,36
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4357,3869,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.813539769220004482797037326236,17,36
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,624,2421,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.656456422574216547083381101402,13,36
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1628,2494,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.428779962386372393012834436377,1,36
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1487,2195,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.920429599693950994954150246485,23,36
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,10.000000000000000000000000000000,2716,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,22,36
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4082,2605,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.564550815654899729167937039165,36,36
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3334,4697,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.824449756364803665320550862816,98,36
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,3903,42,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.460381775061544429306081838149,6,36
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,159,3677,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.530024674635956483115251103300,24,36
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2642,3674,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.539323012779061472521391351620,53,36
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1640,3646,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.588510481059891565891462050786,84,36
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,4818,21,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.565136128734539666673697411170,55,36
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,3503,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,36,36
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3940,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37,36
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,88.000000000000000000000000000000,3974,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,36,36
93,93_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20,36
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2279,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.935576314263476205290714915463,86,36
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,2454,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54,36
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,119,629,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20,36
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4971,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.990899587561194228335637035343,17,36
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50,36
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37,36
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4634,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,91,36
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,2457,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,35,36
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4526,1993,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,36
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,2068,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35,36
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,4424,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,36,36
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,134.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40,36
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,36
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,36
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,535,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,30,36
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,255,772,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42,36
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3449,1515,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21,36
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4903,2202,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54,36
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83,36
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3188,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,36
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,10.000000000000000000000000000000,606,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,4,36
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1622,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.447465672093408928233770893712,34,36
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,255,4427,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17,36
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4572,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15,36
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,73.000000000000000000000000000000,4413,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,36
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1541,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,36
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,25.000000000000000000000000000000,1239,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.357642991171192414778801094144,23,36
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,41.000000000000000000000000000000,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.277287676044628117466572803096,28,36
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,36
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,91.000000000000000000000000000000,1013,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.801403027264162015619319845428,35,36
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,217.000000000000000000000000000000,2112,3,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53,36
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,28.000000000000000000000000000000,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,36
126,126_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,60,36
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,7.000000000000000000000000000000,386,167,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.525476768123815163313850007398,32,36
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,36.000000000000000000000000000000,4585,85,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,85,36
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1597,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.814242933052614081823605829413,44,36
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,27.000000000000000000000000000000,198,42,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67,36
131,131_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,36
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,106.000000000000000000000000000000,4400,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37,36
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,3044.000000000000000000000000000000,4945,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.566906642925080639372481527971,89,36
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,148,4383,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.278256993034307120726822404322,26,36
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,39,164,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.539891652159690926815471812006,29,36
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,794,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.878348451744490055226322056114,50,36
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,79.000000000000000000000000000000,148,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.492479818478486708333008436966,35,36
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,1,841,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.572124089532439650263029307098,100,36
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,7.000000000000000000000000000000,790,16,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.539552342321042988082524516358,21,36
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,17.000000000000000000000000000000,1,587,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,36
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,36
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,2156,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,55,36
143,143_0,FAILED,BoTorch,GenerationStep_1,,,3643,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,36
144,144_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,49,36
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3287,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,36
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25,36
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,19.000000000000000000000000000000,1,818,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,36
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,124.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39,36
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,4960,861,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.744374840882016552967570532928,100,36
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,84.000000000000000000000000000000,1370,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.754264649252358254649664104363,36,36
151,151_0,FAILED,BoTorch,GenerationStep_1,,,1722,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,26,36
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,22.000000000000000000000000000000,4406,123,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.457058914905446755927442836764,81,36
153,153_0,FAILED,BoTorch,GenerationStep_1,,,229,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.287077829316758681432730782035,61,36
154,154_0,FAILED,BoTorch,GenerationStep_1,,,3780,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,36
155,155_0,FAILED,BoTorch,GenerationStep_1,,,2161,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,9,36
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,365,1481,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.816533081489892675897124263429,1,36
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,1551,1346,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.634333160689608765991920336091,1,36
158,158_0,FAILED,BoTorch,GenerationStep_1,,,2344,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60,36
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,55.000000000000000000000000000000,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.722254543556772432566503994167,31,36
160,160_0,FAILED,BoTorch,GenerationStep_1,,,2724,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.586912592935386889791971043451,1,36
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,190,172,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.561892318324005546337218675035,100,36
162,162_0,FAILED,BoTorch,GenerationStep_1,,,2033,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.252990139275916903205398966747,100,36
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,833,1323,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,36
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,2358,1523,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.499027491861604999279222738551,1,36
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,276,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.215358376664226747188024546631,25,36
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,7.000000000000000000000000000000,1442,170,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.766702138848527670056398619636,42,36
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,148.000000000000000000000000000000,3553,15,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.397583292838867230489796611437,78,36
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,4563,74,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.498063516989872667739547296151,32,36
169,169_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,36
170,170_0,FAILED,BoTorch,GenerationStep_1,,,4782,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,42,36
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,791,62,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.782111781716743115211443182488,24,36
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,1723,104,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.737221957236776415101076054270,4,36
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,4016,24,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.136350359275628885136200096895,25,36
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,467,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,36
175,175_0,FAILED,BoTorch,GenerationStep_1,,,2528,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,11,36
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,2684,1363,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,36
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,153.000000000000000000000000000000,4155,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.768446723494778938245985955291,42,36
178,178_0,FAILED,BoTorch,GenerationStep_1,,,1766,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,78,36
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2873,50,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.245030130404313734038268535187,100,36
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,323,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.176905679005112198565186076848,58,36
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,194.000000000000000000000000000000,2907,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45,36
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,512,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.341982753664774263846481971996,52,36
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,584,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.734240630566694529868243535020,47,36
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,662.000000000000000000000000000000,1572,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.714574560711732087447956018877,62,36
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,17.000000000000000000000000000000,3009,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.525696231174618722192803943472,16,36
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,4543,16,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.341039478838494947154913461418,63,36
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,2884,15,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.607404879865403590777361841901,40,36
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,1720,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.352959187218779446570948721273,35,36
189,189_0,FAILED,BoTorch,GenerationStep_1,,,2208,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64,36
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,22.000000000000000000000000000000,481,29,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.137456516917103810371258987288,56,36
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,1716,20,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.651876279112699297257904618164,22,36
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,65,25,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.175125688440970456172252056604,16,36
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2537,24,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.215987297977999176401553427240,69,36
194,194_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,36
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,3890,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.626947327364572815078247458587,44,36
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1587,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.439878293635074801848361403245,30,36
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,3760,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.199333189556212070359109134188,47,36
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,4602,31,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.850345141199137066756463809725,42,36
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,175.000000000000000000000000000000,73,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,44,36
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4710,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.710346643438734215436625163420,57,36
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,772,11,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.847278774758107089404290945822,38,36
202,202_0,FAILED,BoTorch,GenerationStep_1,,,2538,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,52,36
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,3585,9,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.361452361342543770916790890624,62,36
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,3732,14,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.169431702322604460508870261037,5,36
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,4733,45,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.291096445802198677821337469140,55,36
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,12.000000000000000000000000000000,33,53,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.148110481236106983349287702367,54,36
207,207_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,36
208,208_0,FAILED,BoTorch,GenerationStep_1,,,2494,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.652358949086804584815979524137,58,36
209,209_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,36
210,210_0,FAILED,BoTorch,GenerationStep_1,,,3443,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.269145953546188809735184577221,21,36
211,211_0,FAILED,BoTorch,GenerationStep_1,,,890,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,36
212,212_0,FAILED,BoTorch,GenerationStep_1,,,1881,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,60,36
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2871,55,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.487265097534422653158259208794,17,36
214,214_0,FAILED,BoTorch,GenerationStep_1,,,3512,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.716997142656901731427865342994,40,36
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,42.000000000000000000000000000000,1323,14,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.775231840195855892439169565478,76,36
216,216_0,FAILED,BoTorch,GenerationStep_1,,,3143,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.560310198709805806771555580781,22,36
217,217_0,FAILED,BoTorch,GenerationStep_1,,,2606,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,36
218,218_0,FAILED,BoTorch,GenerationStep_1,,,2907,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,44,36
219,219_0,FAILED,BoTorch,GenerationStep_1,,,2700,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.327425052004183481102472796920,12,36
220,220_0,FAILED,BoTorch,GenerationStep_1,,,762,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,36
221,221_0,FAILED,BoTorch,GenerationStep_1,,,2771,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,27,36
222,222_0,FAILED,BoTorch,GenerationStep_1,,,1999,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.351281768636409474915183182020,7,36
223,223_0,FAILED,BoTorch,GenerationStep_1,,,2548,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.189841330572828037581700755254,31,36
224,224_0,FAILED,BoTorch,GenerationStep_1,,,809,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.203042532464852265583488133416,25,36
225,225_0,FAILED,BoTorch,GenerationStep_1,,,881,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.622815712548079103427767222456,29,36
226,226_0,FAILED,BoTorch,GenerationStep_1,,,2951,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.209781992137080125493397986247,11,36
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,545,126,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.110110949352165699011152355524,21,36
228,228_0,FAILED,BoTorch,GenerationStep_1,,,4302,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,52,36
229,229_0,FAILED,BoTorch,GenerationStep_1,,,1441,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,16,36
230,230_0,FAILED,BoTorch,GenerationStep_1,,,732,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,66,36
231,231_0,FAILED,BoTorch,GenerationStep_1,,,4369,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.250731514960039980621786526171,36,36
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4441,4,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.637892787767391333808575382136,74,36
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,4807,45,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,36
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,4742,83,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.132145733689252753428888809140,21,36
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,3602,27,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.504304885370414845979780693597,16,36
236,236_0,FAILED,BoTorch,GenerationStep_1,,,4783,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.723617868227418692406160971586,79,36
237,237_0,FAILED,BoTorch,GenerationStep_1,,,2427,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.666412920642323380882032779482,83,36
238,238_0,FAILED,BoTorch,GenerationStep_1,,,2316,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.934908101740512753607958984503,1,36
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,14.000000000000000000000000000000,1835,49,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.865419040113287962867616442963,51,36
240,240_0,FAILED,BoTorch,GenerationStep_1,,,820,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,36
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,14.000000000000000000000000000000,3007,15,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.732632914234300103295538519887,37,36
242,242_0,FAILED,BoTorch,GenerationStep_1,,,3862,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,36
243,243_0,FAILED,BoTorch,GenerationStep_1,,,3052,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,52,36
244,244_0,FAILED,BoTorch,GenerationStep_1,,,4010,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24,36
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,4512,118,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.829693009215246024545820091589,25,36
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,7.000000000000000000000000000000,4825,11,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.220444850446322809789378993628,12,36
247,247_0,FAILED,BoTorch,GenerationStep_1,,,3549,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.273754951934181922634792272220,32,36
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1907,87,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.703622837474115359057691421185,41,36
249,249_0,FAILED,BoTorch,GenerationStep_1,,,2228,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,36
250,250_0,FAILED,BoTorch,GenerationStep_1,,,3032,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.880865838384609856070994737820,37,36
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,2322,10,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.682400628448815771420754572318,36,36
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,7.000000000000000000000000000000,125,115,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.638047346414530536229392509995,28,36
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4252,135,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,32,36
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,13.000000000000000000000000000000,69,8,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.713825880071523921621690078609,42,36
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2468,26,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.361483954501148230242790759803,25,36
256,256_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,33,36
257,257_0,FAILED,BoTorch,GenerationStep_1,,,4308,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,36
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,3849,16,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.281743619895086061521993769929,6,36
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,2002,43,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.229822622772037105098874576470,39,36
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,778,18,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.846190391856084245247870967432,38,36
261,261_0,FAILED,BoTorch,GenerationStep_1,,,1925,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.380652086660948130170112335691,3,36
262,262_0,FAILED,BoTorch,GenerationStep_1,,,3256,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45,36
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,3291,6,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.781345925290139020624735621823,13,36
264,264_0,FAILED,BoTorch,GenerationStep_1,,,1303,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.665971981440626081827360849275,45,36
265,265_0,FAILED,BoTorch,GenerationStep_1,,,2852,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.218505728839809426622409205265,8,36
266,266_0,FAILED,BoTorch,GenerationStep_1,,,832,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,61,36
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,2057,136,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.714302282660801535207895085478,38,36
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,3363,26,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.777822409717387697192236828414,38,36
269,269_0,FAILED,BoTorch,GenerationStep_1,,,1315,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,10,36
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,593,208,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.211907113333688057466019927233,52,36
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,1660,204,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.580014289779650082934381316591,33,36
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,796,291,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.705691473281965353514522121259,41,36
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,3538,113,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.230353190556104980846185981136,53,36
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,7.000000000000000000000000000000,372,215,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.702292531701818711908913428488,39,36
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,2736,325,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.713553291178644522041452091798,41,36
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,3786,335,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,36
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,147,100,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.589082251176468174591605020396,32,36
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1826,394,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.717306714259463240601633060578,43,36
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,1515,175,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73,36
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,7.000000000000000000000000000000,1423,250,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.232590081925771602344710231591,52,36
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,782,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,36
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,461,175,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.223302163864816799465629060251,51,36
283,283_0,RUNNING,BoTorch,GenerationStep_1,,,2036,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,36
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,3566,110,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.861637658007009421545774330298,28,36
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,1586,206,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.366739360193614249983085073836,32,36
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,4874,417,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74,36
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,132,150,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.198858352935842030984048278697,53,36
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,630,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.786308232331479839416488175630,1,36
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,2146,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.325507322446076885480437113074,18,36
290,290_0,RUNNING,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,36
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,170,2964,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,36
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,495,444,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.712089970064085031609124598617,44,36
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,922,2974,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.697092509205269661443082895858,1,36
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,1757,265,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.703359606496059663882647328137,41,36
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,4660,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.494734908896019176527403260479,100,36
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,267,64,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.688112800139247804409592390584,32,36
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,98,141,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.479229751001708670354872765529,38,36
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,3364,300,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.483900242356079979266780810576,34,36
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,25.000000000000000000000000000000,3145,87,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73,36
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,2902,54,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.780283323859632615970838287467,17,36
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,57.000000000000000000000000000000,3393,33,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.286764319954860014139086388241,81,36
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,10.000000000000000000000000000000,561,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.203201456336375541056327165279,1,36
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,164.000000000000000000000000000000,4655,16,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.505683856354260052867743979732,90,36
304,304_0,FAILED,BoTorch,GenerationStep_1,,,3425,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,77,36
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,12.000000000000000000000000000000,870,252,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,36
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,111.000000000000000000000000000000,4937,45,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.699984563770633338997129158088,99,36
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,240.000000000000000000000000000000,3849,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.348361379025062922742961291078,47,36
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,116.000000000000000000000000000000,923,23,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.485637931786478294071685013478,91,36
309,309_0,FAILED,BoTorch,GenerationStep_1,,,985,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,61,36
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,13.000000000000000000000000000000,3347,84,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,65,36
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,10.000000000000000000000000000000,547,2,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.735482433264945112405541749467,19,36
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2366,1530,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.622496215894615789743227196595,100,36
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4762,1056,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,36
314,314_0,FAILED,BoTorch,GenerationStep_1,,,4710,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,81,36
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,36
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,22.000000000000000000000000000000,4741,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20,36
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,849,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,36
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,54,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,98,36
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,13.000000000000000000000000000000,293,141,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,36
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,1126.000000000000000000000000000000,3985,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,36
321,321_0,FAILED,BoTorch,GenerationStep_1,,,4815,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,36
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,2010.000000000000000000000000000000,1089,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83,36
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,206,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,11,36
324,194_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,36
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3120,3181,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.584178772643678678733181186544,100,36
326,326_0,FAILED,BoTorch,GenerationStep_1,,,127,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.489102449735607791581060155295,83,36
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,16.000000000000000000000000000000,1711,158,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.153510755375595941973898561628,81,36
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,36.000000000000000000000000000000,1256,120,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.362775112431901969323178036575,95,36
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,10.000000000000000000000000000000,2234,99,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.220916158069215967651999221744,54,36
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,703.000000000000000000000000000000,2240,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.263009627037365745216845880350,63,36
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,128.000000000000000000000000000000,1004,27,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.227617999002550169818093195317,95,36
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,1745.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,79,36
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4038,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.195124743395438476900594082508,28,36
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,411.000000000000000000000000000000,4834,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54,36
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,653,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.379863971367707720094841761238,40,36
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.859652662161132230522753161495,26,36
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,318.000000000000000000000000000000,286,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51,36
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,67.000000000000000000000000000000,4073,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.540661526112366619400972922449,33,36
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,187,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55,36
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,21.000000000000000000000000000000,3811,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,36
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,2414,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44,36
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,302,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27,36
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,3743,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.303419858643883988413847418997,19,36
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,354.000000000000000000000000000000,635,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,52,36
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4055,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.249258335817963916358763754033,43,36
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,4676,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22,36
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,279.000000000000000000000000000000,3416,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50,36
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,72,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,45,36
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,365.000000000000000000000000000000,660,10,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.216059511175109880687372765351,97,36
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,365.000000000000000000000000000000,312,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.779957465663628113361482974142,53,36
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,65,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37,36
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4451,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27,36
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,10.000000000000000000000000000000,4541,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.487056319532524151227903530526,23,36
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,2436,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.147040176725710791671986044094,30,36
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,473,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,36
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.199736260591869912994766878001,27,36
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,644.000000000000000000000000000000,4667,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62,36
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,128.000000000000000000000000000000,4501,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.399328547036504444278648406907,40,36
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4207,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44,36
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,3755,1304,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73,36
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,405,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.529900843396588494549348524743,1,36
362,362_0,FAILED,BoTorch,GenerationStep_1,,,175,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,69,36
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,2587,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,81,36
364,364_0,FAILED,BoTorch,GenerationStep_1,,,477,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72,36
365,365_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,36
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,36
367,367_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,36
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,1976,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,73,36
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,4835,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,36
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,3285,29,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.315437774945905136103618815469,38,36
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4767,2029,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.365380845200036941111676469518,1,36
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1080,1158,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,27,36
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,135,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.409351482618103612587390216504,1,36
374,374_0,FAILED,BoTorch,GenerationStep_1,,,1092,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,87,36
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,2795,53,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.284774381157110734186233003129,21,36
376,376_0,FAILED,BoTorch,GenerationStep_1,,,1849,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55,36
377,377_0,FAILED,BoTorch,GenerationStep_1,,,4785,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,36
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3143,3968,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21,36
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,2827,1824,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,36
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,309,23,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.239203147504722074545568943904,1,36
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.912200253540789152140177975525,1,36
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,4502,1279,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,86,36
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1363,2692,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,64,36
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,2220,3,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.277594796157688061821744440749,100,36
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,28.000000000000000000000000000000,305,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,36
386,386_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,96,36
387,387_0,FAILED,BoTorch,GenerationStep_1,,,1489,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.213870429054046684580470127912,58,36
388,388_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,36
389,389_0,FAILED,BoTorch,GenerationStep_1,,,4122,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,82,36
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,15.000000000000000000000000000000,2846,11,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.274712014431756024190889320380,42,36
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1103,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,36
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,12.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60,36
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,685,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,36
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,3168.000000000000000000000000000000,118,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,93,36
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,301,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.565893916677870034703801138676,26,36
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,926,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22,36
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2894,9,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.277611457305647568727380303244,11,36
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,4911,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.603663444656170611324341734871,47,36
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3812,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.746803382008438099148861510912,39,36
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,298,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.677121737247532440306940770824,28,36
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,119,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,36
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,12.000000000000000000000000000000,973,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64,36
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4855,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.807355195117389290437870386086,24,36
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,12.000000000000000000000000000000,152,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.328425863644919824313461731435,28,36
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1654,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.409723770027761002854305161236,51,36
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.762018684111916089207738878031,20,36
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,3049,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.792688667309791372694860456249,34,36
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,1870.000000000000000000000000000000,991,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,81,36
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,36
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3663,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.762456064963418223001667684002,58,36
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49,36
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,309.000000000000000000000000000000,3119,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.393449199704828167512005165918,51,36
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,187,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,36,36
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,16.000000000000000000000000000000,154,18,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.332030306782303719081994586304,46,36
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,250,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.650103798166394852842131513171,52,36
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4649,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12,36
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,12.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29,36
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1459,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.633666910167382191332308138954,21,36
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,564,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,35,36
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,36.000000000000000000000000000000,813,30,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,66,36
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2345,4742,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.844813712691133700261048034008,77,36
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2339,3918,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.833159736132245920536831818026,78,36
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,173.000000000000000000000000000000,2600,10,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.869931558819224681755599704047,78,36
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,36.000000000000000000000000000000,2500,56,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.847250532434078995613901952311,77,36
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3178,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,50,36
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,770.000000000000000000000000000000,1171,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,65,36
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,23.000000000000000000000000000000,5000,364,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.879550562046890305190061098983,100,36
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,59.000000000000000000000000000000,685,31,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.620534742458006993715002863610,77,36
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,25.000000000000000000000000000000,92,109,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.460891944893285832041129879144,80,36
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1659,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29,36
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,2059,2388,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.741364706902391978893263058126,80,36
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,12.000000000000000000000000000000,3882,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,35,36
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,10.000000000000000000000000000000,1858,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,36
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2013,4343,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.713477059782508971075287718122,81,36
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,4647,1201,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.882634728163498083475246858143,100,36
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,76.000000000000000000000000000000,1029,24,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.698475322446950097621254371916,76,36
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,1604,2771,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.647978850100077496954042999278,80,36
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,43.000000000000000000000000000000,1804,50,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.740167209658145197614942389919,78,36
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,2986,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,36
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,35.000000000000000000000000000000,4370,156,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.874841932046112824572503541276,100,36
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,2465,1203,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.804629584738535741372800202953,79,36
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,2827,12,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.848750124995610089051467639365,47,36
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,44.000000000000000000000000000000,1332,37,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.790455392156795055846885134088,74,36
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,597.000000000000000000000000000000,4646,7,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.884564640804112345406906570133,100,36
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,18.000000000000000000000000000000,2173,189,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.756089227758097504050738280057,80,36
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,10.000000000000000000000000000000,2543,629,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.909933093426197658892817798915,78,36
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,19.000000000000000000000000000000,603,122,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.697206383081962255410246598331,74,36
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,3716,4407,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,36
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,29.000000000000000000000000000000,156,85,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.610324971328966237038571307494,76,36
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,220,3560,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.400956297755073964861338708943,89,36
451,451_0,FAILED,BoTorch,GenerationStep_1,,,3734,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.584664745342311609199725808139,57,36
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,361,36,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.644590085540039603451134553325,91,36
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,4718,1292,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,79,36
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,1553,27,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.685383372352339592659120626195,71,36
455,455_0,FAILED,BoTorch,GenerationStep_1,,,863,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,91,36
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,44,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.608217821409580028380048588588,61,36
457,457_0,FAILED,BoTorch,GenerationStep_1,,,472,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,90,36
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,3857,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,63,36
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,2213,43,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.190108032490001799263978909948,85,36
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,3487,48,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.190689781616266901265177580171,11,36
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,4676,2573,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,80,36
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,335,11,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,10,36
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,107,4614,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.384198077985135777456804362373,90,36
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,4613,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,87,36
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3460,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.238477934018167581076141914309,79,36
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,34.000000000000000000000000000000,889,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26,36
467,467_0,FAILED,BoTorch,GenerationStep_1,,,1716,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.612588482907218789819125959184,60,36
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,14.000000000000000000000000000000,4887,413,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,80,36
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,1357,22,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.543541536217110987649903108831,78,36
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,27,63,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.744554090657230216443451809027,69,36
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,32,122,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,11,36
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,4461,3411,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.749445325304213705308598036936,1,36
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,35.000000000000000000000000000000,4428,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.223556874284048051615414465232,26,36
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,10.000000000000000000000000000000,4734,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,46,36
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,20.000000000000000000000000000000,2695,34,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.390689623383112361043600913035,60,36
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,80.000000000000000000000000000000,1825,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,35,36
477,477_0,FAILED,BoTorch,GenerationStep_1,,,2626,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.133977680207211458096594469680,65,36
478,478_0,FAILED,BoTorch,GenerationStep_1,,,2370,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,71,36
479,479_0,FAILED,BoTorch,GenerationStep_1,,,427,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,10,36
480,480_0,COMPLETED,Sobol,SOBOL,0.209999999999999992228438827624,18.000000000000000000000000000000,414,612,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.214087656259536740499527240900,90,36
481,481_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3658,4894,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.969046345043927392914895335707,18,36
482,482_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3907,1353,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.746372321793809523349239043455,59,36
483,483_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2063,3143,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.444622326614335205974271048035,38,36
484,484_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,1620,2153,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.049938407525420190624654281919,66,36
485,485_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,4933,2733,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.759067418090999090907189383870,44,36
486,486_0,FAILED,Sobol,SOBOL,,,2505,1023,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.519855566365644339299478815519,83,36
487,487_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,905,4093,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.297010904496535665941792103695,12,36
488,488_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,1042,1725,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.392562866073101757180552340287,72,36
489,489_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3031,3703,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.665820661205798414172818411316,50,36
490,490_0,COMPLETED,Sobol,SOBOL,0.209999999999999992228438827624,7.000000000000000000000000000000,4524,43,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.928502195933833762708786707663,77,36
491,491_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,1445,4532,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.137741976590827097659541777830,6,36
492,492_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,21.000000000000000000000000000000,2238,804,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.368757187023758870036971302397,96,36
493,493_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,4314,4004,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.564998162709176576790071067080,24,36
494,494_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,9.000000000000000000000000000000,3133,2253,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.842329249991104034300803959923,53,36
495,495_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,278,2942,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.099286744987592101541196143444,32,36
496,496_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,50,2486,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.610152593865990633403839638049,15,36
497,497_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3378,3026,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.323482357345521442937297251774,93,36
498,498_0,COMPLETED,Sobol,SOBOL,0.209999999999999992228438827624,8.000000000000000000000000000000,4069,730,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.086203514588996763001738088406,35,36
499,499_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2466,3761,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.855290178334340400745361421286,63,36
500,500_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,9.000000000000000000000000000000,1353,280,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.649666115980595315626544561383,41,36
501,501_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,4594,4601,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.408840665120631441276088935410,69,36
502,502_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2961,1646,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.188099769810214645371360120407,9,36
503,503_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,13.000000000000000000000000000000,1133,3475,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.878265753002837268326175035327,87,36
504,504_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,9.000000000000000000000000000000,682,1097,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.806414274200797032143839260243,47,36
505,505_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2745,4336,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.002470201127231121032007399307,75,36
506,506_0,COMPLETED,Sobol,SOBOL,0.209999999999999992228438827624,12.000000000000000000000000000000,4692,1920,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.277835919363424166395049041967,2,36
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,7.000000000000000000000000000000,168,23,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.551033434023806778512266646430,100,36
508,508_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2475,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.749831900964220365857215711003,61,36
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,9.000000000000000000000000000000,3914,149,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.674880089643123293186022237933,1,36
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,4765,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,85,36
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,6.000000000000000000000000000000,4587,157,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.732226303858698912563340854831,24,36
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,18.000000000000000000000000000000,207,174,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.028417083622491848965418981265,90,36
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,8.000000000000000000000000000000,3935,208,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.886695534535655194297021353123,11,36
514,514_0,FAILED,BoTorch,BOTORCH_MODULAR,,,291,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.682894706539781570775460295408,63,36
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,529,191,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,10,36
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,560,196,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,11,36
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,9.000000000000000000000000000000,4831,11,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.651698924600494611247825105238,2,36
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,570,3225,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,70,36
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,3918,4279,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.729440060417279156901315673167,100,36
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,5.000000000000000000000000000000,2736,192,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.863505637676544091085872878466,8,36
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,9.000000000000000000000000000000,4646,664,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.699990628007616133565704785724,94,36
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,260.000000000000000000000000000000,910,6,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.690100849669131322094983715942,62,36
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,13.000000000000000000000000000000,273,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,80,36
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,36
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,4729,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.370378477441897335786791245482,87,36
526,526_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4995,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.150350776478045483619538913445,64,36
527,527_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2684,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24,36
528,528_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,48,36
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,12.000000000000000000000000000000,635,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,54,36
530,530_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3730,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,93,36
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,36
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,2632,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,36
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,2405,207,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.750234411608617146605126890790,86,36
534,534_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2692,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,92,36
535,535_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4645,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47,36
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,15.000000000000000000000000000000,4829,74,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.611393587875552535493284267432,52,36
537,537_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4976,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.314728976520043224329725717325,50,36
538,538_0,FAILED,BoTorch,BOTORCH_MODULAR,,,314,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,32,36
539,539_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3997,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,63,36
540,540_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,36
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4877,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.259425209424582470241205101047,49,36
542,542_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1289,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,36
543,543_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.840038102800256036850612417766,63,36
544,544_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2252,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.744463030755162402662961085298,100,36
545,545_0,FAILED,BoTorch,BOTORCH_MODULAR,,,200,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33,36
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,291,52,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.336514768239222550327838234807,88,36
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,35,124,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.216607956901873427435489816162,13,36
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,29.000000000000000000000000000000,1584,21,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.452258053690995087681159247950,49,36
549,549_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3772,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,61,36
550,550_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4572,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,67,36
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,12.000000000000000000000000000000,2622,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,93,36
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4830,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.774720242213050025448239921388,63,36
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,17.000000000000000000000000000000,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.536327287721752643534500748501,8,36
554,554_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4257,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,68,36
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,221,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33,36
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,11.000000000000000000000000000000,3624,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,7,36
557,557_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,92,36
558,558_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2245,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.817447971359120284517985055572,100,36
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,27.000000000000000000000000000000,4378,41,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,60,36
560,560_0,FAILED,BoTorch,BOTORCH_MODULAR,,,575,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,32,36
561,561_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1080,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78,36
562,540_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,36
563,563_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3193,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,36
564,564_0,FAILED,BoTorch,BOTORCH_MODULAR,,,610,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,70,36
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,11.000000000000000000000000000000,632,3,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.495481016439094090753059163035,10,36
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4241,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,68,36
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,10.000000000000000000000000000000,2,4642,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,77,36
568,568_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3487,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,36
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,8.000000000000000000000000000000,1663,34,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.361132034430512283140757290312,10,36
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,55,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,88,36
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1722,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,93,36
572,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4082,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,36
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,9.000000000000000000000000000000,2353,162,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,70,36
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,248,1447,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,36
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,10.000000000000000000000000000000,2706,100,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.384096746533383326394073264964,1,36
576,576_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4716,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,36
577,388_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,36
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47,36
579,579_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1083,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,73,36
580,580_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3862,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.132011152528857533816619707068,64,36
581,581_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,90,36
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,11.000000000000000000000000000000,4276,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.489264290131330992217328912375,100,36
583,583_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3764,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,92,36
584,584_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.139766388656484330521578840489,63,36
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,11.000000000000000000000000000000,2507,50,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.313384056009064604353397953673,32,36
586,586_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4619,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,96,36
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,77.000000000000000000000000000000,302,12,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.158891236441860150829796793914,68,36
588,588_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3880,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77,36
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,2422,58,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.614315098894791189465536263015,61,36
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,14.000000000000000000000000000000,4610,61,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.267753944517406139436133116760,50,36
591,591_0,FAILED,BoTorch,BOTORCH_MODULAR,,,234,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,83,36
592,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47,36
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,44.000000000000000000000000000000,498,106,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,82,36
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,19.000000000000000000000000000000,166,191,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.407338696892934282178799776375,87,36
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1350,3798,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.643335560263975425598914625880,42,36
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,57.000000000000000000000000000000,4150,48,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.786255448771903009408390516910,77,36
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,11.000000000000000000000000000000,1025,26,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.300806950045793886072686973421,30,36
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,9.000000000000000000000000000000,4858,10,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.332358148704869682532603292202,13,36
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,48.000000000000000000000000000000,4183,19,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.085646937989359975262892987757,65,36
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,3143,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.532371769430044161630632970628,90,36
601,601_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4777,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,93,36
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,17.000000000000000000000000000000,4697,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,9,36
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,13.000000000000000000000000000000,4539,66,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.613438835631949452853461934865,62,36
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,48.000000000000000000000000000000,2860,190,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,92,36
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,793,4821,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.687401585977336027077910785010,15,36
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,1331,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.802490789905057400055454763788,1,36
607,607_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3668,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,36
608,608_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3173,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,89,36
609,609_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4664,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,36
610,610_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4148,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77,36
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,11.000000000000000000000000000000,3347,185,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,36
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4790,179,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33,36
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,10.000000000000000000000000000000,2839,194,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.720404865927224635768766347610,100,36
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,2765,1235,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,36
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,4588,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68,36
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,10.000000000000000000000000000000,455,1530,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.332546508656919426183407040298,1,36
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,3550,4792,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,83,36
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,4886,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.161314445157272778885726438602,94,36
619,619_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4723,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,36
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,8.000000000000000000000000000000,4220,59,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.146784640203162120020152769939,64,36
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,83.000000000000000000000000000000,4579,79,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89,36
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,11.000000000000000000000000000000,4899,224,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,36
623,623_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,36
624,624_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1477,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,36
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,14.000000000000000000000000000000,1901,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,70,36
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,4348,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.802769069242542432363052284927,100,36
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,26.000000000000000000000000000000,4974,61,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.392805547334466653719431405989,68,36
628,628_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2135,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,36
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,27.000000000000000000000000000000,3047,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21,36
630,623_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,36
631,631_0,FAILED,BoTorch,BOTORCH_MODULAR,,,49,3,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.534135593016374587982397770247,85,36
632,632_0,FAILED,BoTorch,BOTORCH_MODULAR,,,668,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,78,36
633,633_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4617,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,36
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,2072,5,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.432335181118424227708629814515,73,36
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,1620,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63,36
636,388_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,36
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,8.000000000000000000000000000000,2415,27,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.793584457509336593794557757064,95,36
638,638_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2543,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,36
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,9.000000000000000000000000000000,5000,3284,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,75,36
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,161,96,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.733633808444719370811526459875,13,36
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,4308,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.362067228558875575661346601919,72,36
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,10.000000000000000000000000000000,3512,4291,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.719613152816907075681740479922,75,36
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,150.000000000000000000000000000000,42,27,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.588899552071699750044331267418,86,36
644,644_0,FAILED,BoTorch,BOTORCH_MODULAR,,,25,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.256847344708958813530585985063,100,36
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,15.000000000000000000000000000000,1990,3,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.816692448074126220447510604572,17,36
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,12.000000000000000000000000000000,1057,3435,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,89,36
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,72,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.259759225203859855923838040326,75,36
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,395,4815,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36,36
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,2033,174,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39,36
650,650_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,10.000000000000000000000000000000,4261,201,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.575380974102470021946942324576,43,36
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,9.000000000000000000000000000000,5000,161,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,36
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,7.000000000000000000000000000000,82,144,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.103335213159273256455783496222,36,36
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,9.000000000000000000000000000000,3145,179,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.920942480906697502618385442474,1,36
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,16.000000000000000000000000000000,1283,4371,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.302107411162722439001981911133,100,36
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4979,200,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.207092135768177809662660138201,36,36
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,20.000000000000000000000000000000,4940,84,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.491315601053898931560581786471,62,36
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,4916,4727,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,73,36
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,19.000000000000000000000000000000,1555,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,36
659,659_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43,36
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,12.000000000000000000000000000000,3032,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,36
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,7.000000000000000000000000000000,300,77,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.205811698863960307326337328959,20,36
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4358,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,9,36
663,663_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4687,1681,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.568659220149855149095685646898,11,36
664,664_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,10.000000000000000000000000000000,236,163,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,51,36
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,7.000000000000000000000000000000,4980,201,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.301853781980675583973550146766,35,36
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,7.000000000000000000000000000000,4862,98,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,36
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,6.000000000000000000000000000000,1294,141,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.348510094162541028683932609056,61,36
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,10.000000000000000000000000000000,1553,765,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62,36
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,2791,4283,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.440228952013701491097208418068,18,36
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,250,3886,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.270208912115583399504714634531,5,36
671,671_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,36
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,2115,1468,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,28,36
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,199,2774,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.148589234483519322393973993712,44,36
674,674_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4082,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.195608696967106726605223343540,89,36
675,675_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,270.000000000000000000000000000000,1757,17,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.695159820638791225988484256959,92,36
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,610,425,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.278151632695770922865108332189,100,36
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,12.000000000000000000000000000000,1392,60,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.195875541208055975461732600706,42,36
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,10.000000000000000000000000000000,2186,152,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,36,36
679,679_0,FAILED,BoTorch,BOTORCH_MODULAR,,,495,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,78,36
680,680_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1369,4538,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.107073587014196267008792062825,92,36
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1827,4307,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.796859100227547245687276245008,25,36
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,11.000000000000000000000000000000,1129,4853,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,79,36
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4940,4343,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.274027424051723866860186262784,12,36
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,6.000000000000000000000000000000,2138,198,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,36
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,24.000000000000000000000000000000,5000,686,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,36
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,11.000000000000000000000000000000,2285,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.192474552121130071391519322788,1,36
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,500.000000000000000000000000000000,2921,4,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.857508099413773816621642254177,68,36
688,688_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,8.000000000000000000000000000000,35,914,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.254880564060684489113839390484,55,36
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,10.000000000000000000000000000000,115,3,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.714120340986092450030753298051,6,36
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,9.000000000000000000000000000000,244,86,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.403137723540458570159472628802,23,36
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,19.000000000000000000000000000000,2354,7,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.635138471839815754726998875412,26,36
692,692_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2953,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,81,36
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,7.000000000000000000000000000000,2346,52,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.219362105825957720561802943848,53,36
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,2135,13,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.220702038970922803651220078791,43,36
695,695_0,FAILED,BoTorch,BOTORCH_MODULAR,,,322,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.477474221024878686669978833379,73,36
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,3348,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,36
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,11.000000000000000000000000000000,4855,18,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.217514512327848047457123925597,33,36
698,698_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,2445,4170,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.647760789897574462692375618644,23,36
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4645,4037,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.376012919729733552376416128027,46,36
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,13.000000000000000000000000000000,1313,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.689464600881114275665595414466,1,36
701,701_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,3699,166,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.487410055400880393161600068197,78,36
702,702_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4273,200,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.293739181943182547929183101587,1,36

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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
1744997951,1744997983,32,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 414 feature_id 36 batch_size 612 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.21408765625953674 subsets 90,414,612,str\(\'H\'\),2,str\(\'tstat\'\),0.21408765625953674,90,36,0.21,18,0,None,i7180,18,750.79296875,750.572265625,-1,0,4545131
1744997979,1744998005,26,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 3658 feature_id 36 batch_size 4894 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9690463450439274 subsets 18,3658,4894,str\(\'KL\'\),1,str\(\'stdev\'\),0.9690463450439274,18,36,0.2,7,0,None,i7185,7,694.1484375,681.1510416666666,-1,0,4545151
1744997999,1744998026,27,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 3907 feature_id 36 batch_size 1353 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.7463723217938095 subsets 59,3907,1353,str\(\'H\'\),3,str\(\'stdev\'\),0.7463723217938095,59,36,0.2,7,0,None,i7185,7,738.9296875,738.0846354166666,-1,0.23395102581072139,4545172
1744998019,1744998039,20,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 2063 feature_id 36 batch_size 3143 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4446223266143352 subsets 38,2063,3143,str\(\'KL\'\),1,str\(\'tstat\'\),0.4446223266143352,38,36,0.2,7,0,None,i7185,7,742.46484375,741.0533854166666,-1,0,4545195
1744998058,1744998078,20,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 1620 feature_id 36 batch_size 2153 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.04993840752542019 subsets 66,1620,2153,str\(\'KL\'\),2,str\(\'tstat\'\),0.04993840752542019,66,36,0.2,7,0,None,i7180,7,751.75,751.4544270833334,-1,0,4545230
1744998081,1744998101,20,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 4933 feature_id 36 batch_size 2733 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.7590674180909991 subsets 44,4933,2733,str\(\'H\'\),3,str\(\'stdev\'\),0.7590674180909991,44,36,0.2,6,0,None,i7177,6,749.96875,749.8190104166666,-1,0,4545271
1744998085,1744998117,32,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 905 feature_id 36 batch_size 4093 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.29701090449653567 subsets 12,905,4093,str\(\'H\'\),3,str\(\'tstat\'\),0.29701090449653567,12,36,0.2,6,0,None,i7176,6,750.85546875,750.7083333333334,-1,0,4545354
1744998092,1744998118,26,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 1042 feature_id 36 batch_size 1725 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.39256286607310176 subsets 72,1042,1725,str\(\'KL\'\),3,str\(\'stdev\'\),0.39256286607310176,72,36,0.2,6,0,None,i7176,6,751.25390625,751.0755208333334,-1,0,4545395
1744998088,1744998121,33,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 3031 feature_id 36 batch_size 3703 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6658206612057984 subsets 50,3031,3703,str\(\'H\'\),2,str\(\'tstat\'\),0.6658206612057984,50,36,0.2,7,0,None,i7175,7,751.30078125,751.1067708333334,-1,0,4545448
1744998091,1744998123,32,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 4524 feature_id 36 batch_size 43 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9285021959338338 subsets 77,4524,43,str\(\'KL\'\),3,str\(\'tstat\'\),0.9285021959338338,77,36,0.21,7,0,None,i7175,7,751.5234375,751.29296875,-1,0.07114493712772998,4545539
1744998115,1744998175,60,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1445 feature_id 36 batch_size 4532 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.1377419765908271 subsets 6,1445,4532,str\(\'H\'\),1,str\(\'stdev\'\),0.1377419765908271,6,36,0.2,6,0,None,i7173,6,750.43359375,750.3111979166666,-1,0,4545681
1744998162,1744998181,19,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 4314 feature_id 36 batch_size 4004 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5649981627091766 subsets 24,4314,4004,str\(\'KL\'\),2,str\(\'tstat\'\),0.5649981627091766,24,36,0.2,5,0,None,i7177,5,750.46875,750.29296875,-1,0,4545878
1744998115,1744998186,71,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 2238 feature_id 36 batch_size 804 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.36875718702375887 subsets 96,2238,804,str\(\'H\'\),1,str\(\'stdev\'\),0.36875718702375887,96,36,0.2,21,0,None,i7173,21,751.80078125,751.07734375,-1,0.13666446062210458,4545794
1744998251,1744998278,27,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 3133 feature_id 36 batch_size 2253 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.842329249991104 subsets 53,3133,2253,str\(\'H\'\),1,str\(\'tstat\'\),0.842329249991104,53,36,0.2,9,0,None,i7185,9,739.78515625,728.2122395833334,-1,0.08405029781601589,4545948
1744998341,1744998368,27,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 278 feature_id 36 batch_size 2942 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.0992867449875921 subsets 32,278,2942,str\(\'KL\'\),3,str\(\'stdev\'\),0.0992867449875921,32,36,0.2,6,0,None,i7185,6,741.3828125,738.25390625,-1,0,4546032
1744998384,1744998410,26,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 3378 feature_id 36 batch_size 3026 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.32348235734552144 subsets 93,3378,3026,str\(\'KL\'\),3,str\(\'stdev\'\),0.32348235734552144,93,36,0.2,7,0,None,i7175,7,751.2578125,751.1028645833334,-1,0,4546145
1744998385,1744998411,26,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 50 feature_id 36 batch_size 2486 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6101525938659906 subsets 15,50,2486,str\(\'H\'\),1,str\(\'tstat\'\),0.6101525938659906,15,36,0.2,6,0,None,i7176,6,751.84375,751.6471354166666,-1,0.16115155526141628,4546087
1744998388,1744998421,33,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 4069 feature_id 36 batch_size 730 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.08620351458899676 subsets 35,4069,730,str\(\'H\'\),2,str\(\'stdev\'\),0.08620351458899676,35,36,0.21,8,0,None,i7174,8,750.5625,750.32421875,-1,0,4546217
1744998391,1744998424,33,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 2466 feature_id 36 batch_size 3761 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8552901783343404 subsets 63,2466,3761,str\(\'KL\'\),3,str\(\'tstat\'\),0.8552901783343404,63,36,0.2,6,0,None,i7173,6,750.921875,750.7604166666666,-1,0,4546285
1744999800,1744999820,20,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 4594 feature_id 36 batch_size 4601 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.40884066512063144 subsets 69,4594,4601,str\(\'H\'\),2,str\(\'stdev\'\),0.40884066512063144,69,36,0.2,6,0,None,i7172,6,751.1953125,751.0260416666666,-1,0,4549200
1744999801,1744999827,26,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 1353 feature_id 36 batch_size 280 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6496661159805953 subsets 41,1353,280,str\(\'KL\'\),3,str\(\'tstat\'\),0.6496661159805953,41,36,0.2,9,0,None,i7185,9,738.64453125,716.7734375,-1,0.09265387160820648,4549194
1744999813,1744999833,20,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 2961 feature_id 36 batch_size 1646 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.18809976981021465 subsets 9,2961,1646,str\(\'KL\'\),2,str\(\'stdev\'\),0.18809976981021465,9,36,0.2,6,0,None,i7173,6,751.3515625,751.0859375,-1,0,4549212
1744999821,1744999848,27,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 1133 feature_id 36 batch_size 3475 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8782657530028373 subsets 87,1133,3475,str\(\'H\'\),1,str\(\'tstat\'\),0.8782657530028373,87,36,0.2,13,0,None,i7173,13,751.36328125,751.2080078125,-1,0,4549221
1744999842,1744999868,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 682 feature_id 36 batch_size 1097 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.806414274200797 subsets 47,682,1097,str\(\'KL\'\),1,str\(\'stdev\'\),0.806414274200797,47,36,0.2,9,0,None,i7172,9,752.06640625,751.9010416666666,-1,0.06452680344142951,4549241
1744999876,1744999896,20,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 2745 feature_id 36 batch_size 4336 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.002470201127231121 subsets 75,2745,4336,str\(\'H\'\),3,str\(\'tstat\'\),0.002470201127231121,75,36,0.2,6,0,None,i7185,6,742.390625,727.3971354166666,-1,0,4549258
1744999883,1744999909,26,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 4692 feature_id 36 batch_size 1920 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.27783591936342417 subsets 2,4692,1920,str\(\'KL\'\),1,str\(\'tstat\'\),0.27783591936342417,2,36,0.21,12,0,None,i7172,12,750.6171875,750.4765625,-1,0,4549284
1745000142,1745000161,19,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 168 feature_id 36 batch_size 23 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5510334340238068 subsets 100,168,23,str\(\'H\'\),3,str\(\'tstat\'\),0.5510334340238068,100,36,0.23,7,0,None,i7170,7,751.2109375,750.9830729166666,-1,0.045665122435473195,4549569
1745000444,1745000464,20,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 2475 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7498319009642204 subsets 61,2475,1,str\(\'H\'\),1,str\(\'tstat\'\),0.7498319009642204,61,36,None,None,1,None,i7185,,,,,,4549880
1745000787,1745000825,38,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 3914 feature_id 36 batch_size 149 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6748800896431233 subsets 1,3914,149,str\(\'H\'\),2,str\(\'tstat\'\),0.6748800896431233,1,36,0.22,9,0,None,i7169,9,750.48828125,750.203125,-1,0.14791528788881536,4550221
1745001097,1745001141,44,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4765 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 85,4765,1,str\(\'H\'\),3,str\(\'tstat\'\),0.001,85,36,0.22,8,0,None,i7163,8,742.98828125,742.7786458333334,-1,0.0843812045003309,4550719
1745001404,1745001423,19,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 4587 feature_id 36 batch_size 157 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7322263038586989 subsets 24,4587,157,str\(\'H\'\),1,str\(\'tstat\'\),0.7322263038586989,24,36,0.22,6,0,None,i7168,6,750.83203125,750.6588541666666,-1,0.1558570483123759,4551193
1745001801,1745001833,32,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 207 feature_id 36 batch_size 174 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.02841708362249185 subsets 90,207,174,str\(\'H\'\),1,str\(\'tstat\'\),0.02841708362249185,90,36,0.2,18,0,None,i7166,18,751.9609375,751.8154296875,-1,0.05757776307081403,4551686
1745002102,1745002122,20,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 3935 feature_id 36 batch_size 208 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8866955345356552 subsets 11,3935,208,str\(\'KL\'\),1,str\(\'tstat\'\),0.8866955345356552,11,36,0.21,8,0,None,i7168,8,750.6171875,750.4231770833334,-1,0.0956320317670417,4552012
1745002483,1745002503,20,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 291 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6828947065397816 subsets 63,291,1,str\(\'H\'\),1,str\(\'tstat\'\),0.6828947065397816,63,36,None,None,1,None,i7180,,,,,,4552267
1745002801,1745002821,20,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 529 feature_id 36 batch_size 191 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 10,529,191,str\(\'H\'\),1,str\(\'tstat\'\),0.001,10,36,0.2,7,0,None,i7173,7,750.1328125,749.9479166666666,-1,0.06320317670416943,4552475
1745003122,1745003142,20,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 560 feature_id 36 batch_size 196 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 11,560,196,str\(\'H\'\),1,str\(\'tstat\'\),0.999,11,36,0.2,8,0,None,i7172,8,751.4375,751.2291666666666,-1,0.11681005956320317,4552712
1745003442,1745003467,25,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 4831 feature_id 36 batch_size 11 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6516989246004946 subsets 2,4831,11,str\(\'H\'\),1,str\(\'tstat\'\),0.6516989246004946,2,36,0.21,9,0,None,i7170,9,750.65625,750.47265625,-1,0.3358702845797485,4553033
1745003862,1745003881,19,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 570 feature_id 36 batch_size 3225 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 70,570,3225,str\(\'H\'\),2,str\(\'stdev\'\),0.999,70,36,0.2,5,0,None,i7170,5,751.19140625,750.99609375,-1,0,4553380
1745004223,1745004242,19,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 3918 feature_id 36 batch_size 4279 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7294400604172792 subsets 100,3918,4279,str\(\'H\'\),2,str\(\'stdev\'\),0.7294400604172792,100,36,0.2,6,0,None,i7169,6,750.1953125,750.0481770833334,-1,0,4553722
1745004692,1745004730,38,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 2736 feature_id 36 batch_size 192 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8635056376765441 subsets 8,2736,192,str\(\'KL\'\),3,str\(\'stdev\'\),0.8635056376765441,8,36,0.22,5,0,None,i7166,5,749.8828125,749.6953125,-1,0.06353408338848444,4554276
1745005004,1745005030,26,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 4646 feature_id 36 batch_size 664 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6999906280076161 subsets 94,4646,664,str\(\'H\'\),3,str\(\'stdev\'\),0.6999906280076161,94,36,0.21,9,0,None,i7168,9,750.4921875,750.2864583333334,-1,0,4554575
1745005333,1745005607,274,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 910 feature_id 36 batch_size 6 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6901008496691313 subsets 62,910,6,str\(\'H\'\),1,str\(\'tstat\'\),0.6901008496691313,62,36,0.21,260,0,None,i7180,260,750.5703125,750.5334821428571,-1,0.13666446062210458,4554839
1745005725,1745005751,26,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 273 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 80,273,1,str\(\'H\'\),3,str\(\'tstat\'\),0.001,80,36,0.22,13,0,None,i7169,13,751.0390625,750.8798828125,-1,0.0843812045003309,4555203
1745006114,1745006140,26,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 36 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,100,36,0.23,12,0,None,i7170,12,750.421875,750.259765625,-1,0.0843812045003309,4555551
1745006473,1745006500,27,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 4729 feature_id 36 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.37037847744189734 subsets 87,4729,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.37037847744189734,87,36,0.23,13,0,None,i7180,13,751.41796875,751.2265625,-1,0.0843812045003309,4555834
1745006962,1745006975,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4995 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.15035077647804548 subsets 64,4995,1,str\(\'H\'\),1,str\(\'tstat\'\),0.15035077647804548,64,36,None,None,1,None,i7167,,,,,,4556277
1745007287,1745007306,19,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 2684 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 24,2684,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,24,36,None,None,1,None,i7185,,,,,,4556551
1745007655,1745007669,14,module load GCCcore/10.3.0 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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 48,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,48,36,None,None,1,None,i7168,,,,,,4556904
1745008023,1745008050,27,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 635 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 54,635,1,str\(\'H\'\),3,str\(\'tstat\'\),0.001,54,36,0.22,12,0,None,i7167,12,752.51953125,751.287109375,-1,0.0843812045003309,4557295
1745008343,1745008363,20,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 3730 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 93,3730,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,93,36,None,None,1,None,i7167,,,,,,4557619
1745008664,1745008690,26,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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,1,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,36,0.23,13,0,None,i7170,13,750.96484375,750.80859375,-1,0.0843812045003309,4557898
1745009025,1745009051,26,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 2632 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,2632,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,36,0.23,12,0,None,i7169,12,750.85546875,750.6884765625,-1,0.0843812045003309,4558215
1745009405,1745009431,26,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 2405 feature_id 36 batch_size 207 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7502344116086171 subsets 86,2405,207,str\(\'KL\'\),3,str\(\'tstat\'\),0.7502344116086171,86,36,0.22,8,0,None,i7173,8,749.9765625,749.7096354166666,-1,0.0684976836532098,4558522
1745009825,1745009844,19,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 2692 feature_id 36 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 92,2692,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,92,36,None,None,1,None,i7169,,,,,,4558889
1745010194,1745010208,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4645 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 47,4645,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,47,36,None,None,1,None,i7169,,,,,,4559164
1745010586,1745010619,33,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 4829 feature_id 36 batch_size 74 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6113935878755525 subsets 52,4829,74,str\(\'H\'\),1,str\(\'tstat\'\),0.6113935878755525,52,36,0.22,15,0,None,i7173,15,750.48828125,750.3056640625,-1,0.09794837855724686,4559509
1745010965,1745010985,20,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 4976 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3147289765200432 subsets 50,4976,1,str\(\'H\'\),1,str\(\'tstat\'\),0.3147289765200432,50,36,None,None,1,None,i7173,,,,,,4559864
1745011305,1745011325,20,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 314 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 32,314,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,32,36,None,None,1,None,i7169,,,,,,4560212
1745011724,1745011751,27,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 3997 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 63,3997,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,63,36,None,None,1,None,i7185,,,,,,4560583
1745012146,1745012165,19,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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 46,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,46,36,None,None,1,None,i7185,,,,,,4560958
1745012440,1745012460,20,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 4877 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.25942520942458247 subsets 49,4877,1,str\(\'H\'\),1,str\(\'tstat\'\),0.25942520942458247,49,36,None,None,1,None,i7168,,,,,,4561210
1745012850,1745012863,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1289 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 31,1289,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,31,36,None,None,1,None,i7173,,,,,,4561543
1745013166,1745013180,14,module load GCCcore/10.3.0 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 36 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.840038102800256 subsets 63,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.840038102800256,63,36,None,None,1,None,i7173,,,,,,4561796
1745013505,1745013532,27,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 2252 feature_id 36 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7444630307551624 subsets 100,2252,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.7444630307551624,100,36,None,None,1,None,i7170,,,,,,4562076
1745013965,1745013978,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 200 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 33,200,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,33,36,None,None,1,None,i7168,,,,,,4562466
1745014307,1745014333,26,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 291 feature_id 36 batch_size 52 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.33651476823922255 subsets 88,291,52,str\(\'KL\'\),3,str\(\'tstat\'\),0.33651476823922255,88,36,0.22,8,0,None,i7169,8,749.8828125,749.6328125,-1,0.07842488418266048,4562756
1745014746,1745014766,20,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 35 feature_id 36 batch_size 124 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.21660795690187343 subsets 13,35,124,str\(\'H\'\),3,str\(\'stdev\'\),0.21660795690187343,13,36,0.22,8,0,None,i7169,8,750.0078125,749.8294270833334,-1,0.08206485771012574,4563105
1745015146,1745015191,45,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 1584 feature_id 36 batch_size 21 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4522580536909951 subsets 49,1584,21,str\(\'H\'\),1,str\(\'tstat\'\),0.4522580536909951,49,36,0.22,29,0,None,i7170,29,750.94921875,750.82734375,-1,0.08901389808074123,4563460
1745015536,1745015556,20,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 3772 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 61,3772,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,61,36,None,None,1,None,i7170,,,,,,4563797
1745015867,1745015887,20,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 4572 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 67,4572,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,67,36,None,None,1,None,i7169,,,,,,4564071
1745016206,1745016233,27,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 2622 feature_id 36 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 93,2622,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,93,36,0.22,12,0,None,i7168,12,751.87890625,751.708984375,-1,0.0843812045003309,4564328
1745016557,1745016577,20,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 4830 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.77472024221305 subsets 63,4830,1,str\(\'H\'\),1,str\(\'tstat\'\),0.77472024221305,63,36,None,None,1,None,i7185,,,,,,4564593
1745016906,1745016939,33,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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5363272877217526 subsets 8,5000,1,str\(\'H\'\),2,str\(\'stdev\'\),0.5363272877217526,8,36,0.23,17,0,None,i7173,17,751.0078125,750.7958984375,-1,0.0843812045003309,4564848
1745017246,1745017266,20,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 4257 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 68,4257,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,68,36,None,None,1,None,i7180,,,,,,4565124
1745017548,1745017561,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 221 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 33,221,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,33,36,None,None,1,None,i7170,,,,,,4565372
1745017967,1745017993,26,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 3624 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 7,3624,1,str\(\'H\'\),2,str\(\'stdev\'\),0.999,7,36,0.23,11,0,None,i7168,11,751.81640625,751.6279296875,-1,0.0843812045003309,4565731
1745018357,1745018377,20,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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 92,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,92,36,None,None,1,None,i7170,,,,,,4566060
1745018747,1745018773,26,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 2245 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8174479713591203 subsets 100,2245,1,str\(\'H\'\),1,str\(\'tstat\'\),0.8174479713591203,100,36,None,None,1,None,i7169,,,,,,4566396
1745019111,1745019157,46,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 4378 feature_id 36 batch_size 41 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 60,4378,41,str\(\'H\'\),1,str\(\'tstat\'\),0.999,60,36,0.22,27,0,None,i7173,27,751.16796875,751.059375,-1,0.0814030443414957,4566675
1745019667,1745019680,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 575 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 32,575,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,32,36,None,None,1,None,i7173,,,,,,4567076
1745020008,1745020041,33,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 1080 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 78,1080,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,78,36,None,None,1,None,i7185,,,,,,4567324
1745020349,1745020369,20,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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 46,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,46,36,None,None,1,None,i7185,,,,,,4567588
1745020690,1745020703,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3193 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 46,3193,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,46,36,None,None,1,None,i7173,,,,,,4567854
1745021008,1745021021,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 610 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 70,610,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,70,36,None,None,1,None,i7167,,,,,,4568134
1745021332,1745021378,46,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 632 feature_id 36 batch_size 3 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.4954810164390941 subsets 10,632,3,str\(\'H\'\),2,str\(\'tstat\'\),0.4954810164390941,10,36,0.22,11,0,None,i7185,11,739.09765625,727.3037109375,-1,0.071475843812045,4568381
1745021694,1745021714,20,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 4241 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 68,4241,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,68,36,None,None,1,None,i7173,,,,,,4568667
1745022029,1745022056,27,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 2 feature_id 36 batch_size 4642 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 77,2,4642,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,77,36,0.2,10,0,None,i7173,10,751.08984375,750.9700520833334,-1,0,4568928
1745022439,1745022453,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3487 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 42,3487,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,42,36,None,None,1,None,i7185,,,,,,4569209
1745022830,1745022850,20,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 1663 feature_id 36 batch_size 34 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3611320344305123 subsets 10,1663,34,str\(\'H\'\),1,str\(\'stdev\'\),0.3611320344305123,10,36,0.21,8,0,None,i7185,8,751.5078125,751.3502604166666,-1,0.011250827266710787,4569485
1745023219,1745023246,27,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 55 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 88,55,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,88,36,0.23,12,0,None,i7173,12,751.19921875,751.0400390625,-1,0.0843812045003309,4569788
1745023609,1745023630,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1722 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 93,1722,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,93,36,None,None,1,None,i7185,,,,,,4570099
1745023930,1745023950,20,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 4082 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 100,4082,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,100,36,None,None,1,None,i7169,,,,,,4570397
1745024290,1745024316,26,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 2353 feature_id 36 batch_size 162 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 70,2353,162,str\(\'H\'\),1,str\(\'tstat\'\),0.001,70,36,0.2,9,0,None,i7180,9,750.8671875,750.65234375,-1,0.053606882859033755,4570696
1745024660,1745024680,20,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 248 feature_id 36 batch_size 1447 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 32,248,1447,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,32,36,0.2,7,0,None,i7168,7,750.57421875,750.3997395833334,-1,0.29616148246194574,4570998
1745025071,1745025097,26,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 2706 feature_id 36 batch_size 100 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.3840967465333833 subsets 1,2706,100,str\(\'H\'\),2,str\(\'stdev\'\),0.3840967465333833,1,36,0.21,10,0,None,i7185,10,750.40625,750.1223958333334,-1,0.1654533421575116,4571289
1745025451,1745025464,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4716 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 46,4716,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,46,36,None,None,1,None,i7173,,,,,,4571553
1745025851,1745025871,20,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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,36,None,None,1,None,i7170,,,,,,4571821
1745026271,1745026285,14,module load GCCcore/10.3.0 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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 47,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,47,36,None,None,1,None,i7185,,,,,,4572089
1745026570,1745026589,19,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 1083 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 73,1083,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,73,36,None,None,1,None,i7169,,,,,,4572321
1745026911,1745026924,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3862 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.13201115252885753 subsets 64,3862,1,str\(\'H\'\),1,str\(\'tstat\'\),0.13201115252885753,64,36,None,None,1,None,i7170,,,,,,4572590
1745027250,1745027270,20,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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 90,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,90,36,None,None,1,None,i7169,,,,,,4572856
1745027601,1745027627,26,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 4276 feature_id 36 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.489264290131331 subsets 100,4276,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.489264290131331,100,36,0.23,11,0,None,i7169,11,750.08984375,749.9091796875,-1,0.0843812045003309,4573118
1745027992,1745028012,20,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 3764 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 92,3764,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,92,36,None,None,1,None,i7173,,,,,,4573423
1745028410,1745028424,14,module load GCCcore/10.3.0 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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.13976638865648433 subsets 63,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.13976638865648433,63,36,None,None,1,None,i7170,,,,,,4573740
1745028792,1745028819,27,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 2507 feature_id 36 batch_size 50 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.3133840560090646 subsets 32,2507,50,str\(\'H\'\),2,str\(\'tstat\'\),0.3133840560090646,32,36,0.2,11,0,None,i7185,11,750.43359375,750.2021484375,-1,0.0827266710787558,4574004
1745029132,1745029152,20,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 4619 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 96,4619,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,96,36,None,None,1,None,i7185,,,,,,4574258
1745029431,1745029522,91,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 302 feature_id 36 batch_size 12 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.15889123644186015 subsets 68,302,12,str\(\'H\'\),1,str\(\'tstat\'\),0.15889123644186015,68,36,0.21,77,0,None,i7170,77,751.23046875,751.172265625,-1,0.06353408338848444,4574491
1745029752,1745029771,19,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 3880 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 77,3880,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,77,36,None,None,1,None,i7170,,,,,,4574709
1745030112,1745030132,20,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 2422 feature_id 36 batch_size 58 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6143150988947912 subsets 61,2422,58,str\(\'H\'\),3,str\(\'tstat\'\),0.6143150988947912,61,36,0.22,8,0,None,i7170,8,750.35546875,750.1458333333334,-1,0.09596293845135671,4574976
1745030452,1745030478,26,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 4610 feature_id 36 batch_size 61 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.26775394451740614 subsets 50,4610,61,str\(\'H\'\),1,str\(\'tstat\'\),0.26775394451740614,50,36,0.22,14,0,None,i7173,14,750.2578125,750.1220703125,-1,0.12111184645929848,4575214
1745030842,1745030862,20,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 234 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 83,234,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,83,36,None,None,1,None,i7180,,,,,,4575491
1745031193,1745031206,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 47,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,47,36,None,None,1,None,i7180,,,,,,4575731
1745031512,1745031571,59,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 498 feature_id 36 batch_size 106 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 82,498,106,str\(\'H\'\),1,str\(\'tstat\'\),0.999,82,36,0.21,44,0,None,i7170,44,751.52734375,751.4425223214286,-1,0.14030443414956983,4575968
1745031871,1745031904,33,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 166 feature_id 36 batch_size 191 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.4073386968929343 subsets 87,166,191,str\(\'KL\'\),2,str\(\'tstat\'\),0.4073386968929343,87,36,0.22,19,0,None,i7169,19,751.70703125,751.46484375,-1,0.06320317670416943,4576224
1745032273,1745032293,20,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 1350 feature_id 36 batch_size 3798 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6433355602639754 subsets 42,1350,3798,str\(\'KL\'\),2,str\(\'stdev\'\),0.6433355602639754,42,36,0.2,7,0,None,i7185,7,751.13671875,750.9205729166666,-1,0,4576508
1745032693,1745032765,72,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 4150 feature_id 36 batch_size 48 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.786255448771903 subsets 77,4150,48,str\(\'H\'\),1,str\(\'tstat\'\),0.786255448771903,77,36,0.22,57,0,None,i7170,57,750.7421875,750.67724609375,-1,0.09530112508272667,4576819
1745033114,1745033140,26,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 1025 feature_id 36 batch_size 26 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3008069500457939 subsets 30,1025,26,str\(\'H\'\),1,str\(\'tstat\'\),0.3008069500457939,30,36,0.21,11,0,None,i7185,11,751.84765625,751.6689453125,-1,0.09463931171409662,4577086
1745033483,1745033510,27,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 4858 feature_id 36 batch_size 10 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.3323581487048697 subsets 13,4858,10,str\(\'H\'\),3,str\(\'stdev\'\),0.3323581487048697,13,36,0.22,9,0,None,i7185,9,750.88671875,750.6966145833334,-1,0.08603573792190602,4577328
1745033834,1745033899,65,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4183 feature_id 36 batch_size 19 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.08564693798935998 subsets 65,4183,19,str\(\'H\'\),1,str\(\'tstat\'\),0.08564693798935998,65,36,0.2,48,0,None,i7180,48,751.625,751.5373883928571,-1,0.06915949702183984,4577540
1745034293,1745034320,27,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 3143 feature_id 36 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5323717694300442 subsets 90,3143,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.5323717694300442,90,36,0.23,13,0,None,i7173,13,750.07421875,749.9052734375,-1,0.0843812045003309,4577863
1745034714,1745034734,20,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 4777 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 93,4777,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,93,36,None,None,1,None,i7185,,,,,,4578150
1745035110,1745035143,33,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 4697 feature_id 36 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 9,4697,1,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,9,36,0.23,17,0,None,i7173,17,750.79296875,750.6123046875,-1,0.0843812045003309,4578434
1745035413,1745035439,26,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 4539 feature_id 36 batch_size 66 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6134388356319495 subsets 62,4539,66,str\(\'H\'\),1,str\(\'tstat\'\),0.6134388356319495,62,36,0.22,13,0,None,i7169,13,751.47265625,751.3125,-1,0.05923229649238915,4578659
1745035773,1745035839,66,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 2860 feature_id 36 batch_size 190 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 92,2860,190,str\(\'H\'\),1,str\(\'tstat\'\),0.999,92,36,0.21,48,0,None,i7173,48,750.4765625,750.39453125,-1,0.1558570483123759,4578888
1745036184,1745036204,20,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 793 feature_id 36 batch_size 4821 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.687401585977336 subsets 15,793,4821,str\(\'H\'\),2,str\(\'tstat\'\),0.687401585977336,15,36,0.2,7,0,None,i7180,7,750.6875,750.51953125,-1,0,4579166
1745036533,1745036560,27,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 1331 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8024907899050574 subsets 1,1331,1,str\(\'H\'\),3,str\(\'tstat\'\),0.8024907899050574,1,36,0.23,12,0,None,i7170,12,750.37109375,750.21875,-1,0.0843812045003309,4579379
1745036914,1745036927,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3668 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 45,3668,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,45,36,None,None,1,None,i7170,,,,,,4579629
1745037414,1745037434,20,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 3173 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 89,3173,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,89,36,None,None,1,None,i7180,,,,,,4579908
1745037805,1745037818,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4664 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 45,4664,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,45,36,None,None,1,None,i7185,,,,,,4580155
1745038255,1745038275,20,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 4148 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 77,4148,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,77,36,None,None,1,None,i7185,,,,,,4580443
1745038614,1745038641,27,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 3347 feature_id 36 batch_size 185 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 46,3347,185,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,46,36,0.22,11,0,None,i7180,11,751.83203125,751.6806640625,-1,0.12243547319655856,4580705
1745039005,1745039032,27,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 4790 feature_id 36 batch_size 179 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 33,4790,179,str\(\'H\'\),1,str\(\'stdev\'\),0.999,33,36,0.2,7,0,None,i7180,7,752.53515625,751.3658854166666,-1,0.05923229649238915,4580957
1745039445,1745039489,44,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2839 feature_id 36 batch_size 194 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7204048659272246 subsets 100,2839,194,str\(\'KL\'\),1,str\(\'stdev\'\),0.7204048659272246,100,36,0.2,10,0,None,i7168,10,750.64453125,750.4973958333334,-1,0.0641958967571145,4581258
1745039855,1745039875,20,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 2765 feature_id 36 batch_size 1235 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 16,2765,1235,str\(\'H\'\),1,str\(\'stdev\'\),0.001,16,36,0.2,8,0,None,i7180,8,751.05859375,750.9114583333334,-1,0.1558570483123759,4581508
1745040265,1745040292,27,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 4588 feature_id 36 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 68,4588,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,68,36,0.23,13,0,None,i7185,13,751.3984375,751.2490234375,-1,0.0843812045003309,4581748
1745040655,1745040681,26,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 455 feature_id 36 batch_size 1530 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3325465086569194 subsets 1,455,1530,str\(\'KL\'\),1,str\(\'tstat\'\),0.3325465086569194,1,36,0.21,10,0,None,i7173,10,751.1640625,751.0380859375,-1,0,4581969
1745041045,1745041065,20,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 3550 feature_id 36 batch_size 4792 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 83,3550,4792,str\(\'H\'\),2,str\(\'stdev\'\),0.999,83,36,0.2,7,0,None,i7185,7,751.046875,750.87890625,-1,0,4582199
1745041595,1745041621,26,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 4886 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.16131444515727278 subsets 94,4886,1,str\(\'H\'\),3,str\(\'tstat\'\),0.16131444515727278,94,36,0.23,12,0,None,i7173,12,750.859375,750.7099609375,-1,0.0843812045003309,4582528
1745041954,1745041967,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4723 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 42,4723,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,42,36,None,None,1,None,i7170,,,,,,4582766
1745042395,1745042415,20,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 4220 feature_id 36 batch_size 59 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.14678464020316212 subsets 64,4220,59,str\(\'H\'\),3,str\(\'tstat\'\),0.14678464020316212,64,36,0.21,8,0,None,i7185,8,751.171875,750.93359375,-1,0.07809397749834547,4583015
1745042726,1745042824,98,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4579 feature_id 36 batch_size 79 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 89,4579,79,str\(\'H\'\),1,str\(\'tstat\'\),0.999,89,36,0.21,83,0,None,i7185,83,748.62109375,748.5607244318181,-1,0.13070814030443414,4583207
1745043156,1745043182,26,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 4899 feature_id 36 batch_size 224 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 45,4899,224,str\(\'H\'\),1,str\(\'tstat\'\),0.999,45,36,0.22,11,0,None,i7173,11,751.05078125,750.8994140625,-1,0.15387160820648577,4583473
1745043596,1745043609,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 42,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,42,36,None,None,1,None,i7185,,,,,,4583731
1745044016,1745044036,20,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 1477 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 71,1477,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,71,36,None,None,1,None,i7173,,,,,,4583990
1745044425,1745044464,39,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 1901 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 70,1901,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,70,36,0.23,14,0,None,i7173,14,693.640625,674.74609375,-1,0.0843812045003309,4584330
1745044876,1745044903,27,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 4348 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8027690692425424 subsets 100,4348,1,str\(\'H\'\),3,str\(\'tstat\'\),0.8027690692425424,100,36,0.23,13,0,None,i7185,13,751.078125,750.9091796875,-1,0.0843812045003309,4584684
1745045296,1745045342,46,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 4974 feature_id 36 batch_size 61 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.39280554733446665 subsets 68,4974,61,str\(\'H\'\),1,str\(\'tstat\'\),0.39280554733446665,68,36,0.22,26,0,None,i7173,26,662.375,645.25703125,-1,0.12111184645929848,4584948
1745045696,1745045709,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2135 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 27,2135,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,27,36,None,None,1,None,i7180,,,,,,4585179
1745046136,1745046187,51,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 3047 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 21,3047,1,str\(\'H\'\),2,str\(\'stdev\'\),0.999,21,36,0.23,27,0,None,i7170,27,689.21484375,681.49765625,-1,0.0843812045003309,4585423
1745046596,1745046622,26,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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 42,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,42,36,None,None,1,None,i7173,,,,,,4585694
1745047616,1745047643,27,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 668 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 78,668,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,78,36,None,None,1,None,i7173,,,,,,4586253
1745048217,1745048237,20,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 4617 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 42,4617,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,42,36,None,None,1,None,i7185,,,,,,4586582
1745048637,1745048657,20,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 2072 feature_id 36 batch_size 5 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.4323351811184242 subsets 73,2072,5,str\(\'H\'\),3,str\(\'tstat\'\),0.4323351811184242,73,36,0.22,8,0,None,i7180,8,750.75,750.4973958333334,-1,0.06154864328259431,4586840
1745049157,1745049190,33,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 1620 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 63,1620,1,str\(\'H\'\),3,str\(\'stdev\'\),0.001,63,36,0.23,12,0,None,i7185,12,733.6796875,698.2763671875,-1,0.0843812045003309,4587134
1745049556,1745049588,32,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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,100,36,None,None,1,None,i7170,,,,,,4587373
1745049957,1745049977,20,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 2415 feature_id 36 batch_size 27 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7935844575093366 subsets 95,2415,27,str\(\'KL\'\),3,str\(\'tstat\'\),0.7935844575093366,95,36,0.21,8,0,None,i7180,8,750.640625,750.390625,-1,0.08041032428855063,4587600
1745050398,1745050418,20,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 2543 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 76,2543,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,76,36,None,None,1,None,i7180,,,,,,4587832
1745050828,1745050848,20,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 36 batch_size 3284 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 75,5000,3284,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,75,36,0.2,9,0,None,i7180,9,751.08984375,750.9479166666666,-1,0,4588073
1745051359,1745051385,26,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 161 feature_id 36 batch_size 96 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7336338084447194 subsets 13,161,96,str\(\'H\'\),1,str\(\'tstat\'\),0.7336338084447194,13,36,0.22,8,0,None,i7173,8,738.4921875,730.4375,-1,0.1270681667769689,4588355
1745051858,1745051891,33,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 4308 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.3620672285588756 subsets 72,4308,1,str\(\'H\'\),3,str\(\'tstat\'\),0.3620672285588756,72,36,0.23,13,0,None,i7185,13,743.00390625,728.12109375,-1,0.0843812045003309,4588623
1745052358,1745052385,27,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 3512 feature_id 36 batch_size 4291 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7196131528169071 subsets 75,3512,4291,str\(\'H\'\),1,str\(\'stdev\'\),0.7196131528169071,75,36,0.2,10,0,None,i7180,10,749.82421875,749.6692708333334,-1,0,4588889
1745052749,1745052918,169,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 42 feature_id 36 batch_size 27 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5888995520716998 subsets 86,42,27,str\(\'H\'\),1,str\(\'tstat\'\),0.5888995520716998,86,36,0.2,150,0,None,i7173,150,710.671875,652.2401194852941,-1,0.1158173395102581,4589092
1745053229,1745053255,26,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 25 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.2568473447089588 subsets 100,25,1,str\(\'H\'\),1,str\(\'tstat\'\),0.2568473447089588,100,36,None,None,1,None,i7173,,,,,,4589358
1745053765,1745053797,32,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 1990 feature_id 36 batch_size 3 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8166924480741262 subsets 17,1990,3,str\(\'H\'\),1,str\(\'tstat\'\),0.8166924480741262,17,36,0.21,15,0,None,i7170,15,711.6015625,709.55078125,-1,0.1555261416280609,4589640
1745054292,1745054325,33,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 1057 feature_id 36 batch_size 3435 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 89,1057,3435,str\(\'H\'\),1,str\(\'stdev\'\),0.001,89,36,0.2,12,0,None,i7173,12,670.734375,663.1142578125,-1,0,4589931
1745054739,1745054765,26,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 72 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.25975922520385986 subsets 75,72,1,str\(\'H\'\),3,str\(\'tstat\'\),0.25975922520385986,75,36,0.23,12,0,None,i7180,12,751.46484375,751.3154296875,-1,0.0843812045003309,4590178
1745055388,1745055415,27,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 395 feature_id 36 batch_size 4815 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 36,395,4815,str\(\'H\'\),3,str\(\'stdev\'\),0.999,36,36,0.2,6,0,None,i7173,6,720.2734375,708.6927083333334,-1,0,4590540
1745055979,1745056005,26,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 2033 feature_id 36 batch_size 174 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 39,2033,174,str\(\'H\'\),1,str\(\'tstat\'\),0.001,39,36,0.2,8,0,None,i7185,8,742.84765625,732.6028645833334,-1,0.05757776307081403,4590849
1745056468,1745056494,26,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 4261 feature_id 36 batch_size 201 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.57538097410247 subsets 43,4261,201,str\(\'H\'\),1,str\(\'tstat\'\),0.57538097410247,43,36,0.21,10,0,None,i7183,10,750.8125,750.5872395833334,-1,0.19953673064195895,4591136
1745057010,1745057037,27,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 36 batch_size 161 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 18,5000,161,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,18,36,0.2,9,0,None,i7180,9,751.1953125,751.0234375,-1,0.05327597617471873,4591408
1745057519,1745057539,20,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 82 feature_id 36 batch_size 144 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.10333521315927326 subsets 36,82,144,str\(\'KL\'\),2,str\(\'tstat\'\),0.10333521315927326,36,36,0.22,7,0,None,i7183,7,751.69140625,751.33984375,-1,0.04765056254136334,4591667
1745058019,1745058046,27,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 3145 feature_id 36 batch_size 179 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.9209424809066975 subsets 1,3145,179,str\(\'KL\'\),2,str\(\'tstat\'\),0.9209424809066975,1,36,0.22,9,0,None,i7183,9,750.80859375,750.5221354166666,-1,0.1184645929847783,4591934
1745058567,1745058599,32,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 1283 feature_id 36 batch_size 4371 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.30210741116272244 subsets 100,1283,4371,str\(\'H\'\),1,str\(\'tstat\'\),0.30210741116272244,100,36,0.2,16,0,None,i7185,16,747.85546875,744.5546875,-1,0,4592239
1745058991,1745059011,20,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 4979 feature_id 36 batch_size 200 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.2070921357681778 subsets 36,4979,200,str\(\'KL\'\),1,str\(\'tstat\'\),0.2070921357681778,36,36,0.2,7,0,None,i7185,7,745.8046875,736.5703125,-1,0.06618133686300463,4592462
1745059480,1745059513,33,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 4940 feature_id 36 batch_size 84 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.49131560105389893 subsets 62,4940,84,str\(\'H\'\),2,str\(\'tstat\'\),0.49131560105389893,62,36,0.22,20,0,None,i7183,20,750.0703125,749.837890625,-1,0.11118464592984778,4592722
1745060041,1745060061,20,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 4916 feature_id 36 batch_size 4727 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 73,4916,4727,str\(\'H\'\),2,str\(\'tstat\'\),0.001,73,36,0.2,5,0,None,i7180,5,750.3125,750.12890625,-1,0,4593028
1745060496,1745060529,33,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 1555 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 14,1555,1,str\(\'H\'\),2,str\(\'tstat\'\),0.999,14,36,0.23,19,0,None,i7180,19,751.64453125,751.421875,-1,0.0843812045003309,4593258
1745060966,1745060992,26,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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 43,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,43,36,None,None,1,None,i7185,,,,,,4593507
1745061520,1745061547,27,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 3032 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,3032,1,str\(\'H\'\),3,str\(\'tstat\'\),0.001,1,36,0.22,12,0,None,i7180,12,749.8125,749.6552734375,-1,0.0843812045003309,4593820
1745062021,1745062053,32,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 300 feature_id 36 batch_size 77 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.2058116988639603 subsets 20,300,77,str\(\'KL\'\),3,str\(\'tstat\'\),0.2058116988639603,20,36,0.21,7,0,None,i7185,7,731.4453125,721.8606770833334,-1,0.07643944407677035,4594090
1745062581,1745062600,19,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 4358 feature_id 36 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 9,4358,5000,str\(\'H\'\),1,str\(\'stdev\'\),0.001,9,36,0.2,6,0,None,i7183,6,750.796875,750.65625,-1,0,4594396
1745063120,1745063140,20,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 4687 feature_id 36 batch_size 1681 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5686592201498551 subsets 11,4687,1681,str\(\'KL\'\),1,str\(\'stdev\'\),0.5686592201498551,11,36,0.2,6,0,None,i7180,6,750.8828125,750.7591145833334,-1,0,4594669
1745063721,1745063747,26,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 236 feature_id 36 batch_size 163 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 51,236,163,str\(\'H\'\),1,str\(\'tstat\'\),0.999,51,36,0.22,10,0,None,i7183,10,751.0234375,750.876953125,-1,0.14758438120450032,4594990
1745064201,1745064227,26,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 4980 feature_id 36 batch_size 201 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.3018537819806756 subsets 35,4980,201,str\(\'H\'\),3,str\(\'tstat\'\),0.3018537819806756,35,36,0.22,7,0,None,i7185,7,689.2890625,682.0533854166666,-1,0.13302448709463932,4595230
1745064681,1745064700,19,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 4862 feature_id 36 batch_size 98 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 42,4862,98,str\(\'H\'\),1,str\(\'tstat\'\),0.001,42,36,0.21,7,0,None,i7183,7,751.484375,751.2942708333334,-1,0.06485771012574454,4595492
1745065231,1745065250,19,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 1294 feature_id 36 batch_size 141 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.34851009416254103 subsets 61,1294,141,str\(\'H\'\),3,str\(\'stdev\'\),0.34851009416254103,61,36,0.22,6,0,None,i7180,6,750.953125,750.79296875,-1,0.04665784248841827,4595785
1745065801,1745065834,33,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 1553 feature_id 36 batch_size 765 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 62,1553,765,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,62,36,0.21,10,0,None,i7185,10,697.234375,687.1315104166666,-1,0,4596092
1745066541,1745066568,27,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 2791 feature_id 36 batch_size 4283 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.4402289520137015 subsets 18,2791,4283,str\(\'KL\'\),3,str\(\'tstat\'\),0.4402289520137015,18,36,0.2,6,0,None,i7185,6,734.1640625,725.2317708333334,-1,0,4596473
1745067286,1745067324,38,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 250 feature_id 36 batch_size 3886 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.2702089121155834 subsets 5,250,3886,str\(\'H\'\),2,str\(\'tstat\'\),0.2702089121155834,5,36,0.2,6,0,None,i7185,6,733.94921875,726.80859375,-1,0,4596814
1745067752,1745067778,26,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 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 42,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,42,36,None,None,1,None,i7185,,,,,,4597073
1745068202,1745068228,26,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 2115 feature_id 36 batch_size 1468 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 28,2115,1468,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,28,36,0.2,6,0,None,i7183,6,692.33984375,679.48828125,-1,0.3100595632031767,4597307
1745068663,1745068689,26,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 199 feature_id 36 batch_size 2774 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.14858923448351932 subsets 44,199,2774,str\(\'KL\'\),1,str\(\'tstat\'\),0.14858923448351932,44,36,0.2,7,0,None,i7183,7,733.125,719.6888020833334,-1,0.2564526803441429,4597545
1745069201,1745069221,20,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 4082 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.19560869696710673 subsets 89,4082,1,str\(\'H\'\),1,str\(\'tstat\'\),0.19560869696710673,89,36,None,None,1,None,i7180,,,,,,4597823
1745069816,1745070127,311,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1757 feature_id 36 batch_size 17 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6951598206387912 subsets 92,1757,17,str\(\'H\'\),1,str\(\'tstat\'\),0.6951598206387912,92,36,0.2,270,0,None,i7183,270,688.09765625,639.2691271551724,-1,0.11250827266710788,4598113
1745070202,1745070229,27,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 610 feature_id 36 batch_size 425 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.2781516326957709 subsets 100,610,425,str\(\'KL\'\),3,str\(\'tstat\'\),0.2781516326957709,100,36,0.2,7,0,None,i7183,7,737.265625,720.82421875,-1,0.14063534083388485,4598324
1745070702,1745070729,27,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 1392 feature_id 36 batch_size 60 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.19587554120805598 subsets 42,1392,60,str\(\'H\'\),2,str\(\'tstat\'\),0.19587554120805598,42,36,0.22,12,0,None,i7185,12,738.44140625,702.1025390625,-1,0.07941760423560557,4598559
1745071142,1745071175,33,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 2186 feature_id 36 batch_size 152 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 36,2186,152,str\(\'H\'\),1,str\(\'tstat\'\),0.999,36,36,0.21,10,0,None,i7183,10,731.3515625,687.5400390625,-1,0.09298477829252151,4598775
1745071623,1745071649,26,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 495 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 78,495,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,78,36,None,None,1,None,i7183,,,,,,4599019
1745072253,1745072273,20,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 1369 feature_id 36 batch_size 4538 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.10707358701419627 subsets 92,1369,4538,str\(\'H\'\),3,str\(\'tstat\'\),0.10707358701419627,92,36,0.2,6,0,None,i7185,6,748.37109375,747.7513020833334,-1,0,4599350
1745072733,1745072759,26,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 1827 feature_id 36 batch_size 4307 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7968591002275472 subsets 25,1827,4307,str\(\'KL\'\),2,str\(\'tstat\'\),0.7968591002275472,25,36,0.2,6,0,None,i7183,6,711.7578125,705.0234375,-1,0,4599604
1745073266,1745073293,27,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 1129 feature_id 36 batch_size 4853 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 79,1129,4853,str\(\'H\'\),1,str\(\'stdev\'\),0.999,79,36,0.2,11,0,None,i7185,11,727.3515625,692.3505859375,-1,0,4599862
1745073813,1745073833,20,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 4940 feature_id 36 batch_size 4343 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.27402742405172387 subsets 12,4940,4343,str\(\'KL\'\),2,str\(\'stdev\'\),0.27402742405172387,12,36,0.2,7,0,None,i7185,7,705.55859375,700.4752604166666,-1,0,4600137
1745074323,1745074343,20,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 2138 feature_id 36 batch_size 198 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,2138,198,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,100,36,0.21,6,0,None,i7183,6,743.71875,741.64453125,-1,0.06551952349437459,4600378
1745074823,1745074868,45,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 5000 feature_id 36 batch_size 686 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,686,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,100,36,0.21,24,0,None,i7183,24,691.44921875,661.409375,-1,0.22700198544010589,4600606
1745075363,1745075396,33,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 2285 feature_id 36 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.19247455212113007 subsets 1,2285,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.19247455212113007,1,36,0.23,11,0,None,i7183,11,704.8046875,675.201171875,-1,0.0843812045003309,4600872
1745076403,1745076423,20,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 35 feature_id 36 batch_size 914 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.2548805640606845 subsets 55,35,914,str\(\'H\'\),1,str\(\'stdev\'\),0.2548805640606845,55,36,0.21,8,0,None,i7180,8,749.765625,749.6158854166666,-1,0,4601360
1745075944,1745076462,518,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2921 feature_id 36 batch_size 4 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8575080994137738 subsets 68,2921,4,str\(\'H\'\),1,str\(\'tstat\'\),0.8575080994137738,68,36,0.21,500,0,None,i7185,500,720.453125,660.5033052884615,-1,0.12442091330244871,4601146
1745076904,1745076930,26,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 115 feature_id 36 batch_size 3 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7141203409860925 subsets 6,115,3,str\(\'H\'\),2,str\(\'tstat\'\),0.7141203409860925,6,36,0.22,10,0,None,i7185,10,711.953125,707.9401041666666,-1,0.07246856386499008,4601591
1745077385,1745077411,26,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 244 feature_id 36 batch_size 86 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.40313772354045857 subsets 23,244,86,str\(\'H\'\),1,str\(\'tstat\'\),0.40313772354045857,23,36,0.22,9,0,None,i7185,9,749.40625,748.7877604166666,-1,0.10688285903375248,4601819
1745077992,1745078031,39,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 2354 feature_id 36 batch_size 7 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6351384718398158 subsets 26,2354,7,str\(\'H\'\),1,str\(\'tstat\'\),0.6351384718398158,26,36,0.22,19,0,None,i7185,19,677.87890625,665.1845703125,-1,0.1412971542025149,4602118
1745078434,1745078454,20,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 2953 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 81,2953,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,81,36,None,None,1,None,i7185,,,,,,4602336
1745078855,1745078875,20,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 2346 feature_id 36 batch_size 52 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.21936210582595772 subsets 53,2346,52,str\(\'H\'\),3,str\(\'stdev\'\),0.21936210582595772,53,36,0.21,7,0,None,i7183,7,750.8125,750.640625,-1,0.07842488418266048,4602534
1745079364,1745079384,20,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 2135 feature_id 36 batch_size 13 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.2207020389709228 subsets 43,2135,13,str\(\'H\'\),3,str\(\'tstat\'\),0.2207020389709228,43,36,0.2,8,0,None,i7183,8,750.75,750.5182291666666,-1,0.08702845797485109,4602758
1745079904,1745079917,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 322 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4774742210248787 subsets 73,322,1,str\(\'H\'\),1,str\(\'tstat\'\),0.4774742210248787,73,36,None,None,1,None,i7183,,,,,,4603010
1745080357,1745080383,26,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 3348 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,3348,1,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,36,0.23,13,0,None,i7185,13,749.6953125,749.5361328125,-1,0.0843812045003309,4603217
1745080816,1745080842,26,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 4855 feature_id 36 batch_size 18 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.21751451232784805 subsets 33,4855,18,str\(\'H\'\),2,str\(\'tstat\'\),0.21751451232784805,33,36,0.2,11,0,None,i7185,11,751.27734375,751.0419921875,-1,0.071475843812045,4603426
1745081411,1745081438,27,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 2445 feature_id 36 batch_size 4170 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6477607898975745 subsets 23,2445,4170,str\(\'KL\'\),1,str\(\'stdev\'\),0.6477607898975745,23,36,0.2,6,0,None,i7183,6,751.90625,751.7864583333334,-1,0,4603703
1745081973,1745082000,27,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 4645 feature_id 36 batch_size 4037 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.37601291972973355 subsets 46,4645,4037,str\(\'KL\'\),1,str\(\'stdev\'\),0.37601291972973355,46,36,0.2,7,0,None,i7183,7,750.4375,750.26171875,-1,0,4603948
1745082581,1745082607,26,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 1313 feature_id 36 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6894646008811143 subsets 1,1313,1,str\(\'H\'\),2,str\(\'tstat\'\),0.6894646008811143,1,36,0.21,13,0,None,i7183,13,751.4453125,751.2265625,-1,0.0843812045003309,4604209
1745083148,1745083175,27,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 3699 feature_id 36 batch_size 166 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4874100554008804 subsets 78,3699,166,str\(\'H\'\),3,str\(\'stdev\'\),0.4874100554008804,78,36,0.2,8,0,None,i7185,8,751.00390625,750.8203125,-1,0.05493050959629384,4604441
1745083603,1745083623,20,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 4273 feature_id 36 batch_size 200 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.29373918194318255 subsets 1,4273,200,str\(\'H\'\),3,str\(\'tstat\'\),0.29373918194318255,1,36,0.22,8,0,None,i7185,8,750.390625,750.1536458333334,-1,0.06651224354731966,4604639

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Job SlurmJob<job_id=4545315, task_id=0, state="NODE_FAIL">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing', 'out_of_memory'], which would be ignored: node_fail

Job SlurmJob<job_id=4545315, task_id=0, state="NODE_FAIL">, state not in 'early_stopped', 'abandoned', 'cancelled', 'timeout', 'interrupted'], which would be removed from the job list, or 'completed', 'unknown', 'pending', 'running', 'completing', 'out_of_memory'], which would be ignored: node_fail


⚠ Job 4545315 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4545315/4545315_0_result.pkl
has not produced any output (state: NODE_FAIL)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4545315/4545315_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4545315/4545315_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4545315/4545315_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4549880/4549880_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552267/4552267_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556277/4556277_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556551/4556551_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556904/4556904_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557619/4557619_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4558889/4558889_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4559164/4559164_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4559864/4559864_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560212/4560212_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560583/4560583_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560958/4560958_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561210/4561210_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561543/4561543_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561796/4561796_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562076/4562076_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562466/4562466_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563797/4563797_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564071/4564071_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564593/4564593_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565124/4565124_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565372/4565372_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566060/4566060_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566396/4566396_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567076/4567076_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567324/4567324_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567588/4567588_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567854/4567854_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568134/4568134_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568667/4568667_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569209/4569209_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570099/4570099_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570397/4570397_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571553/4571553_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571821/4571821_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572089/4572089_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572321/4572321_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572590/4572590_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572856/4572856_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573423/4573423_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573740/4573740_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574258/4574258_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574709/4574709_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575491/4575491_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575731/4575731_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578150/4578150_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579629/4579629_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579908/4579908_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580155/4580155_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580443/4580443_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582766/4582766_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583731/4583731_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583990/4583990_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585179/4585179_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585694/4585694_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586253/4586253_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586582/4586582_0_log.err not found


⚠ Job 4586009 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586009/4586009_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_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586009/4586009_0_log.out
----------------------------------------
submitit INFO (2025-04-19 09:19:23,459) - Starting with JobEnvironment(job_id=4586009, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 09:19:23,463) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586009/4586009_submitted.pkl
slurmstepd: error: *** JOB 4586009 ON i7185 CANCELLED AT 2025-04-19T09:49:45 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586009/4586009_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587373/4587373_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587832/4587832_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4589358/4589358_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4593507/4593507_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597073/4597073_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597823/4597823_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4599019/4599019_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4602336/4602336_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4603010/4603010_0_log.err not found

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timestamp,ram_usage_mb,cpu_usage_percent
1744997842,644.96484375,4.8
1744997842,644.96875,5.0
1744997842,645.03125,4.8
1744997842,645.03125,6.7
1744997842,645.03125,6.8
1744997842,645.03125,5.0
1744997842,645.03125,4.4
1744998271,692.6953125,4.6
1744998271,692.6953125,3.1
1744998271,692.6953125,4.3
1744998271,692.6953125,5.9
1745004205,867.65625,6.0
1745004205,867.65625,6.8
1745004205,867.65625,6.7
1745004205,867.65625,5.6
1745011708,872.765625,7.0
1745011709,872.765625,6.6
1745011709,872.765625,6.5
1745011709,872.765625,6.8
1745019113,911.23046875,7.0
1745019113,911.23046875,6.4
1745019113,911.23046875,6.6
1745019113,911.23046875,5.4
1745026574,933.65625,7.0
1745026574,933.65625,6.8
1745026575,933.65625,6.9
1745026575,933.65625,8.0
1745033830,932.30078125,6.9
1745033830,932.30078125,5.9
1745033831,932.30078125,6.0
1745033831,932.30078125,5.3
1745041968,942.72265625,6.6
1745041968,942.72265625,5.8
1745041968,942.72265625,5.4
1745041968,942.72265625,11.4
1745050839,965.1953125,6.6
1745050839,965.1953125,6.4
1745050839,965.1953125,6.3
1745050839,965.1953125,5.1
1745060960,984.9453125,6.6
1745060960,984.9453125,6.1
1745060960,984.9453125,6.2
1745060960,984.9453125,10.0
1745071626,1025.6953125,6.6
1745071626,1025.6953125,6.1
1745071626,1025.6953125,6.1
1745071626,1025.6953125,4.3
1745081966,1047.16796875,6.6
1745081966,1047.16796875,5.6
1745081966,1047.16796875,6.0
1745081966,1047.16796875,9.4

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Correlation Heatmap Explanation

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

How It Works

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

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

Color Scale: Yellow to Purple (Viridis)

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

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

What the Heatmap Shows

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

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

			body {
				font-variant: oldstyle-nums;
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
				background-color: #fafafa;
				text-shadow: 0 0.05em 0.1em rgba(0,0,0,0.2);
				scroll-behavior: smooth;
				text-wrap: balance;
				text-rendering: optimizeLegibility;
				-webkit-font-smoothing: antialiased;
				-moz-osx-font-smoothing: grayscale;
				font-feature-settings: "ss02", "liga", "onum";
			}
			
			.marked_text {
				background-color: yellow;
			}
			
			.time_picker_container {
				font-variant: small-caps;
				width: 100%;
			}
			
			.time_picker_container > input {
				width: 50px;
			}
			
			#loader {
				display: grid;
				justify-content: center;
				align-items: center;
				height: 100%;
			}
			
			.no_linebreak {
				line-break: auto;
			}
			
			.dark_code_bg {
				background-color: #363636;
				color: white;
			}
			
			.code_bg {
				background-color: #C0C0C0;
			}
			
			#commands {
				line-break: anywhere;
			}
			
			.color_red {
				color: red;
			}
			
			.color_orange {
				color: orange;
			}
			
			table > tbody > tr:nth-child(odd) {
				background-color: #fafafa;
			}
			
			table > tbody > tr:nth-child(even) {
				background-color: #ddd;
			}
			
			table {
				border-collapse: collapse;
				margin: 0 0;
				min-width: 200px;
			}
			
			th {
				background-color: #4eae46;
				color: #ffffff;
				text-align: left;
				border: 0px;
			}
			
			.error_element {
				background-color: #e57373;
				border-radius: 10px;
				padding: 4px;
				display: none;
			}
			
			button {
				background-color: #4eae46;
				border: 1px solid #2A8387;
				border-radius: 4px;
				box-shadow: rgba(0, 0, 0, 0.12) 0 1px 1px;
				cursor: pointer;
				display: block;
				line-height: 100%;
				outline: 0;
				padding: 11px 15px 12px;
				text-align: center;
				transition: box-shadow .05s ease-in-out, opacity .05s ease-in-out;
				user-select: none;
				-webkit-user-select: none;
				touch-action: manipulation;
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			button:hover {
				box-shadow: rgba(255, 255, 255, 0.3) 0 0 2px inset, rgba(0, 0, 0, 0.4) 0 1px 2px;
				text-decoration: none;
				transition-duration: .15s, .15s;
			}
			
			button:active {
				box-shadow: rgba(0, 0, 0, 0.15) 0 2px 4px inset, rgba(0, 0, 0, 0.4) 0 1px 1px;
			}
			
			button:disabled {
				cursor: not-allowed;
				opacity: .6;
			}
			
			button:disabled:active {
				pointer-events: none;
			}
			
			button:disabled:hover {
				box-shadow: none;
			}
			
			.half_width_td {
				vertical-align: baseline;
				width: 50%;
			}
			
			#scads_bar {
				width: 100%;
				margin: 0;
				padding: 0;
				user-select: none;
				user-drag: none;
				-webkit-user-drag: none;
				user-select: none;
				-moz-user-select: none;
				-webkit-user-select: none;
				-ms-user-select: none;
				display: -webkit-box;
			}
			
			.tab {
				display: inline-block;
				padding: 0px;
				margin: 0px;
				font-size: 16px;
				font-weight: bold;
				text-align: center;
				border-radius: 25px;
				text-decoration: none !important;
				transition: background-color 0.3s, color 0.3s;
				color: unset !important;
			}
			
			.tooltipster-base {
				border: 1px solid black;
				position: absolute;
				border-radius: 8px;
				padding: 2px;
				color: white;
				background-color: #61686f;
				width: 70%;
				min-width: 200px;
				pointer-events: none;
			}
			
			td {
				padding-top: 3px;
				padding-bottom: 3px;
			}
			
			.left_side {
				text-align: right;
			}
			
			.right_side {
				text-align: left;
			}
			
			.spinner {
				border: 8px solid rgba(0, 0, 0, 0.1);
				border-left: 8px solid #3498db;
				border-radius: 50%;
				width: 50px;
				height: 50px;
				animation: spin 1s linear infinite;
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			#spinner-overlay {
				-webkit-text-stroke: 1px black;
				white !important;
				position: fixed;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				display: flex;
				justify-content: center;
				align-items: center;
				z-index: 9999;
			}
			
			#spinner-container {
				text-align: center;
				color: #fff;
				display: contents;
			}
			
			#spinner-text {
				font-size: 3vw;
				margin-left: 10px;
			}
			
			a, a:visited, a:active, a:hover, a:link {
				color: #007bff;
				text-decoration: none;
			}
			
			.copy-container {
				display: inline-block;
				position: relative;
				cursor: pointer;
				margin-left: 10px;
				color: blue;
			}
			
			.copy-container:hover {
				text-decoration: underline;
			}
			
			.clipboard-icon {
				position: absolute;
				top: 5px;
				right: 5px;
				font-size: 1.5em;
			}
			
			#main_tab {
				overflow: scroll;
				width: max-content;
			}
			
			.ui-tabs .ui-tabs-nav li {
				user-select: none;
			}
			
			.stacktrace_table {
				background-color: black !important;
				color: white !important;
			}
			
			#breadcrumb {
				user-select: none;
			}
			
			#statusBar {
				user-select: none;
			}
			
			.error_line {
				background-color: red !important;
				color: white !important;
			}
			
			.header_table {
				border: 0px !important;
				padding: 0px !important;
				width: revert !important;
				min-width: revert !important;
			}
			
			.img_auto_width {
				max-width: revert !important;
			}
			
			#main_dir_or_plot_view {
				display: inline-grid;
			}
			
			#refresh_button {
				width: 300px;
			}
			
			._share_link {
				color: black !important;
			}
			
			#footer_element {
				height: 30px;
				background-color: #f8f9fa;
				padding: 0px;
				text-align: center;
				border-top: 1px solid #dee2e6;
				width: 100%;
				box-sizing: border-box;
				position: fixed;
				bottom: 0;
				z-index: 2;
				margin-left: -9px;
				z-index: 99;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 50px;
				height: 26px;
			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.slider:before {
				position: absolute;
				content: "";
				height: 20px;
				width: 20px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #444;
			}
			
			input:checked + .slider:before {
				transform: translateX(24px);
			}
			
			.mode-text {
				position: absolute;
				top: 5px;
				left: 65px;
				font-size: 14px;
				color: black;
				transition: .4s;
				width: 65px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
				margin-top: 3px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
					width: inherit;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.hide_on_mobile {
					display: none;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					white-space: pre;
					font-size: 2em;
				}
			}
			
			.header_button {
				white-space: pre;
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			
			input::placeholder {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			.gridjs-th-content {
				overflow: visible !important;
			}
			
			.error_text {
				color: red;
			}
			
			h1, h2, h3, h4, h5, h6 {
				margin-top: 1em;
				font-weight: bold;
				color: #333;
				border-left: 5px solid #ccc;
				padding-left: 0.5em;
			}
			
			.no_cursive {
				font-style: normal;	
			}
			
			.caveat {
				background-color: #fff8b3;
				border: 1px solid #f2d600;
				padding: 1em 1em 1em 70px;
				position: relative;
				font-family: sans-serif;
				color: #665500;
				margin: 1em 0;
				border-radius: 4px;
			}
			
			.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
				margin-top: 0;
				margin-bottom: 0.5em;
				font-weight: bold;
			}
			
			.caveat::before {
				content: "⚠️";
				font-size: 50px;
				line-height: 1;
				position: absolute;
				left: 10px;
				top: 50%;
				transform: translateY(-50%);
				pointer-events: none;
				user-select: none;
			}
			
			.caveat.warning::before { content: "⚠️"; }
			.caveat.stop::before { content: "🛑"; }
			.caveat.exclamation::before { content: "❗"; }
			.caveat.alarm::before { content: "🚨"; }
			.caveat.tip::before { content: "💡"; }
			
			.tutorial_icon {
				display: inline-block;
				font-size: 1.3em;
				line-height: 1;
				vertical-align: middle;
				transform: translateY(-10%);
				padding: 0.2em 0;
			}
			
			.highlight {
				background-color: yellow;
				font-weight: bold;
			}
			
			#searchResults li {
				opacity: 0;
				transform: translateY(8px);
				animation: fadeInUp 0.3s ease-out forwards;
				animation-delay: 0.05s;
				list-style: none;
				margin-bottom: 5px;
			}
			
			@keyframes fadeInUp {
				to {
					opacity: 1;
					transform: translateY(0);
				}
			}
			
			.search_headline {
				font-weight: bold;
				margin-top: 1em;
				margin-bottom: 0.3em;
				color: #444;
			}
			
			.search_share_path {
				color: black;
				display: block ruby;
				margin-top: 20px;
			}
			
			@media print {
				#scads_bar {
					display: none !important;
				}
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 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			: :-webkit-scrollbar-button: vertical: end{
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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
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15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M0 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M1 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M2 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M3 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M4 16h1'/%3E%3Cpath stroke='%237da0d4' d='M5 16h1m4 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M6 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M7 16h3'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 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			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			menu[role=tablist] button{
				background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
			}
			
			menu[role=tablist] button: hover{
				box-shadow: unset;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]{
				border-color: #919b9c;
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]: first-of-type: before{
				content: "";
				display: block;
				position: absolute;
				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
			}
			
			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
			}
			
			ul.tree-view{
				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
			}
			
			@keyframes sliding{
				0%{
					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
				}
			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
				padding: 1px 2px 1px 0;
				overflow: hidden;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress,progress: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px
			}
			
			progress[value]: :-webkit-progress-bar{
				background-color: transparent
			}
			
			progress[value]: :-webkit-progress-value{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress[value]: :-moz-progress-bar{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-webkit-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-webkit-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]){
				position: relative
			}
			
			progress: not([value]): before{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before,progress: not([value]): before: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): after{
				box-sizing: border-box;
				content: "";
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 682 feature_id 36 batch_size 1097 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.806414274200797 subsets 47",
			        682,
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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 2745 feature_id 36 batch_size 4336 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.002470201127231121 subsets 75",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4692 feature_id 36 batch_size 1920 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.27783591936342417 subsets 2",
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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 168 feature_id 36 batch_size 23 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5510334340238068 subsets 100",
			        168,
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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 2475 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.7498319009642204 subsets 61",
			        2475,
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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 3914 feature_id 36 batch_size 149 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.6748800896431233 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4765 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 85",
			        4765,
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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 4587 feature_id 36 batch_size 157 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.7322263038586989 subsets 24",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 207 feature_id 36 batch_size 174 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.02841708362249185 subsets 90",
			        207,
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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 3935 feature_id 36 batch_size 208 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.8866955345356552 subsets 11",
			        3935,
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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 291 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.6828947065397816 subsets 63",
			        291,
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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 529 feature_id 36 batch_size 191 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 10",
			        529,
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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 560 feature_id 36 batch_size 196 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 11",
			        560,
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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 4831 feature_id 36 batch_size 11 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.6516989246004946 subsets 2",
			        4831,
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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 570 feature_id 36 batch_size 3225 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 70",
			        570,
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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 3918 feature_id 36 batch_size 4279 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.7294400604172792 subsets 100",
			        3918,
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			        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 2736 feature_id 36 batch_size 192 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.8635056376765441 subsets 8",
			        2736,
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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 4646 feature_id 36 batch_size 664 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.6999906280076161 subsets 94",
			        4646,
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			        274,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 910 feature_id 36 batch_size 6 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.6901008496691313 subsets 62",
			        910,
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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 273 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 80",
			        273,
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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 36 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        5000,
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			        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 4729 feature_id 36 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.37037847744189734 subsets 87",
			        4729,
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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 4995 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.15035077647804548 subsets 64",
			        4995,
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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 2684 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 24",
			        2684,
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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 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 48",
			        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 635 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 54",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3730 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 93",
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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 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2405 feature_id 36 batch_size 207 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.7502344116086171 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 2692 feature_id 36 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 92",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4645 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 47",
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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 4829 feature_id 36 batch_size 74 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.6113935878755525 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 4976 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.3147289765200432 subsets 50",
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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 314 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 32",
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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 3997 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 63",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 46",
			        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 4877 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.25942520942458247 subsets 49",
			        4877,
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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 1289 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 31",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 36 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.840038102800256 subsets 63",
			        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 2252 feature_id 36 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.7444630307551624 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 200 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 33",
			        200,
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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 291 feature_id 36 batch_size 52 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.33651476823922255 subsets 88",
			        291,
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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 35 feature_id 36 batch_size 124 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.21660795690187343 subsets 13",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1584 feature_id 36 batch_size 21 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.4522580536909951 subsets 49",
			        1584,
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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 3772 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 61",
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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 4572 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 67",
			        4572,
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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 2622 feature_id 36 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 93",
			        2622,
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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 4830 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.77472024221305 subsets 63",
			        4830,
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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 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.5363272877217526 subsets 8",
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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 4257 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 68",
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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 221 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 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 3624 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 7",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 92",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2245 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.8174479713591203 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 4378 feature_id 36 batch_size 41 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 60",
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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 575 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 32",
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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 1080 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 78",
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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 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 46",
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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 3193 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 46",
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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 610 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 70",
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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 632 feature_id 36 batch_size 3 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.4954810164390941 subsets 10",
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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 4241 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 68",
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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 2 feature_id 36 batch_size 4642 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 77",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3487 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 42",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1663 feature_id 36 batch_size 34 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.3611320344305123 subsets 10",
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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 55 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 88",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1722 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 93",
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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 4082 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 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 2353 feature_id 36 batch_size 162 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 70",
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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 248 feature_id 36 batch_size 1447 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 32",
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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 2706 feature_id 36 batch_size 100 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.3840967465333833 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4716 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 46",
			        4716,
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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 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
			        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 5000 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 47",
			        5000,
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			        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 1083 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 73",
			        1083,
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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 3862 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.13201115252885753 subsets 64",
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			        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 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 90",
			        5000,
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			        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 4276 feature_id 36 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.489264290131331 subsets 100",
			        4276,
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			        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 3764 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 92",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.13976638865648433 subsets 63",
			        5000,
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			        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 2507 feature_id 36 batch_size 50 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.3133840560090646 subsets 32",
			        2507,
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			        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 4619 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 96",
			        4619,
			        1,
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			        91,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 302 feature_id 36 batch_size 12 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.15889123644186015 subsets 68",
			        302,
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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 3880 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 77",
			        3880,
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			        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 2422 feature_id 36 batch_size 58 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.6143150988947912 subsets 61",
			        2422,
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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 4610 feature_id 36 batch_size 61 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.26775394451740614 subsets 50",
			        4610,
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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 234 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 83",
			        234,
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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 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 47",
			        5000,
			        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 498 feature_id 36 batch_size 106 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 82",
			        498,
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			        "str\\(\\'H\\'\\)",
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			        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 166 feature_id 36 batch_size 191 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.4073386968929343 subsets 87",
			        166,
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			        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 1350 feature_id 36 batch_size 3798 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.6433355602639754 subsets 42",
			        1350,
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			        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 4150 feature_id 36 batch_size 48 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.786255448771903 subsets 77",
			        4150,
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			        "str\\(\\'H\\'\\)",
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			        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 1025 feature_id 36 batch_size 26 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.3008069500457939 subsets 30",
			        1025,
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			        "str\\(\\'H\\'\\)",
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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 4858 feature_id 36 batch_size 10 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.3323581487048697 subsets 13",
			        4858,
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			    [
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			        65,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4183 feature_id 36 batch_size 19 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.08564693798935998 subsets 65",
			        4183,
			        19,
			        "str\\(\\'H\\'\\)",
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			        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 3143 feature_id 36 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5323717694300442 subsets 90",
			        3143,
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			    [
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			        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 4777 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 93",
			        4777,
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			        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 4697 feature_id 36 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 9",
			        4697,
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			        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 4539 feature_id 36 batch_size 66 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.6134388356319495 subsets 62",
			        4539,
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			    [
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			        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 2860 feature_id 36 batch_size 190 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 92",
			        2860,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        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 793 feature_id 36 batch_size 4821 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.687401585977336 subsets 15",
			        793,
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			    [
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			        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 1331 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.8024907899050574 subsets 1",
			        1331,
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			    [
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3668 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 45",
			        3668,
			        1,
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			    [
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			        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 3173 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 89",
			        3173,
			        1,
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			    [
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4664 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 45",
			        4664,
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			    [
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			        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 4148 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 77",
			        4148,
			        1,
			        "str\\(\\'H\\'\\)",
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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 3347 feature_id 36 batch_size 185 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 46",
			        3347,
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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 4790 feature_id 36 batch_size 179 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 33",
			        4790,
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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 2839 feature_id 36 batch_size 194 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.7204048659272246 subsets 100",
			        2839,
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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 2765 feature_id 36 batch_size 1235 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4588 feature_id 36 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 68",
			        4588,
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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 455 feature_id 36 batch_size 1530 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.3325465086569194 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3550 feature_id 36 batch_size 4792 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 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 4886 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.16131444515727278 subsets 94",
			        4886,
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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 4723 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 42",
			        4723,
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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 4220 feature_id 36 batch_size 59 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.14678464020316212 subsets 64",
			        4220,
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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 4579 feature_id 36 batch_size 79 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 89",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4899 feature_id 36 batch_size 224 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 45",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 42",
			        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 1477 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 71",
			        1477,
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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 1901 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 70",
			        1901,
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			        "str\\(\\'H\\'\\)",
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			        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 4348 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.8027690692425424 subsets 100",
			        4348,
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			    [
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			        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 4974 feature_id 36 batch_size 61 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.39280554733446665 subsets 68",
			        4974,
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2135 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 27",
			        2135,
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			        "str\\(\\'H\\'\\)",
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			        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 3047 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 21",
			        3047,
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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 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 42",
			        5000,
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			        "str\\(\\'H\\'\\)",
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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 668 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 78",
			        668,
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			    [
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			        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 4617 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 42",
			        4617,
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			    [
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			        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 2072 feature_id 36 batch_size 5 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.4323351811184242 subsets 73",
			        2072,
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			        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 1620 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 63",
			        1620,
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			    [
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			        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 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
			        5000,
			        1,
			        "str\\(\\'H\\'\\)",
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			    [
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			        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 2415 feature_id 36 batch_size 27 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.7935844575093366 subsets 95",
			        2415,
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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 2543 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 76",
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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 36 batch_size 3284 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 75",
			        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 161 feature_id 36 batch_size 96 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.7336338084447194 subsets 13",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4308 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.3620672285588756 subsets 72",
			        4308,
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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 3512 feature_id 36 batch_size 4291 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.7196131528169071 subsets 75",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 42 feature_id 36 batch_size 27 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.5888995520716998 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 25 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.2568473447089588 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 1990 feature_id 36 batch_size 3 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.8166924480741262 subsets 17",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1057 feature_id 36 batch_size 3435 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 89",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 72 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.25975922520385986 subsets 75",
			        72,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 395 feature_id 36 batch_size 4815 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 36",
			        395,
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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 2033 feature_id 36 batch_size 174 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 39",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4261 feature_id 36 batch_size 201 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.57538097410247 subsets 43",
			        4261,
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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 36 batch_size 161 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 18",
			        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 82 feature_id 36 batch_size 144 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.10333521315927326 subsets 36",
			        82,
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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 3145 feature_id 36 batch_size 179 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.9209424809066975 subsets 1",
			        3145,
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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 1283 feature_id 36 batch_size 4371 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.30210741116272244 subsets 100",
			        1283,
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			    [
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			        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 4979 feature_id 36 batch_size 200 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.2070921357681778 subsets 36",
			        4979,
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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 4940 feature_id 36 batch_size 84 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.49131560105389893 subsets 62",
			        4940,
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			    [
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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 4916 feature_id 36 batch_size 4727 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 73",
			        4916,
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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 1555 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 14",
			        1555,
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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 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 43",
			        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 3032 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        3032,
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			    [
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			        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 300 feature_id 36 batch_size 77 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.2058116988639603 subsets 20",
			        300,
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			    [
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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 4358 feature_id 36 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 9",
			        4358,
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			    [
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			        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 4687 feature_id 36 batch_size 1681 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.5686592201498551 subsets 11",
			        4687,
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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 236 feature_id 36 batch_size 163 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) 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 4980 feature_id 36 batch_size 201 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.3018537819806756 subsets 35",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4862 feature_id 36 batch_size 98 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 42",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1294 feature_id 36 batch_size 141 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.34851009416254103 subsets 61",
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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 1553 feature_id 36 batch_size 765 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 62",
			        1553,
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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 2791 feature_id 36 batch_size 4283 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.4402289520137015 subsets 18",
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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 250 feature_id 36 batch_size 3886 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.2702089121155834 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 1 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 42",
			        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 2115 feature_id 36 batch_size 1468 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 28",
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			        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 199 feature_id 36 batch_size 2774 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.14858923448351932 subsets 44",
			        199,
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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 4082 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.19560869696710673 subsets 89",
			        4082,
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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 1757 feature_id 36 batch_size 17 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.6951598206387912 subsets 92",
			        1757,
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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 610 feature_id 36 batch_size 425 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.2781516326957709 subsets 100",
			        610,
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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 1392 feature_id 36 batch_size 60 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.19587554120805598 subsets 42",
			        1392,
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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 2186 feature_id 36 batch_size 152 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 36",
			        2186,
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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 495 feature_id 36 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 78",
			        495,
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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 1369 feature_id 36 batch_size 4538 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.10707358701419627 subsets 92",
			        1369,
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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 1827 feature_id 36 batch_size 4307 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.7968591002275472 subsets 25",
			        1827,
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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 1129 feature_id 36 batch_size 4853 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 79",
			        1129,
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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 4940 feature_id 36 batch_size 4343 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.27402742405172387 subsets 12",
			        4940,
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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 2138 feature_id 36 batch_size 198 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        2138,
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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 36 batch_size 686 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
			        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 2285 feature_id 36 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.19247455212113007 subsets 1",
			        2285,
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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 35 feature_id 36 batch_size 914 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.2548805640606845 subsets 55",
			        35,
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			    [
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			        518,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2921 feature_id 36 batch_size 4 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.8575080994137738 subsets 68",
			        2921,
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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 115 feature_id 36 batch_size 3 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.7141203409860925 subsets 6",
			        115,
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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 244 feature_id 36 batch_size 86 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.40313772354045857 subsets 23",
			        244,
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			    ],
			    [
			        1745081966,
			        1047.16796875,
			        6.6
			    ],
			    [
			        1745081966,
			        1047.16796875,
			        5.6
			    ],
			    [
			        1745081966,
			        1047.16796875,
			        6
			    ],
			    [
			        1745081966,
			        1047.16796875,
			        9.4
			    ]
			];
			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>895   </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>395   </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>36</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>151</td>
			<td>549</td>
			<td>3</td>
			<td>703</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_0,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,411,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.497357181072235088326038976447,18,36
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,7.000000000000000000000000000000,1746,2797,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.935244008436799001415806742443,78,36
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,1055,2141,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.538034532014280530987093698059,40,36
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2879,4838,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.099291125532239676854118215488,55,36
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3337,1826,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.270037271883338703126753443939,34,36
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,6.000000000000000000000000000000,241,3894,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.835110581789165751231962531165,73,36
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,5.000000000000000000000000000000,1892,741,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.701030412063002539291289849643,10,36
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,10.000000000000000000000000000000,3874,3747,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.138998941950499999009593921073,97,36
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4071,2398,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.007420415483415127022581714300,29,36
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2324,4387,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.567533153131604239938212685956,65,36
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,7.000000000000000000000000000000,516,43,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.964740722302347419869761324662,2,36
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3691,2970,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.405484582360833900605001645090,92,36
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,6.000000000000000000000000000000,2603,992,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.234740488257259127813370014337,22,36
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,701,3300,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.667666665289550986805977572658,86,36
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1549,1453,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.801744935199618313781400047446,48,36
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4568,4072,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.365776903502643135901450932579,60,36
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4475,1304,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.645767012057825939841393392271,81,36
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,1320,4231,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.209856093814596522673099343592,15,36
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,920,1137,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.328346320608630781734404990857,52,36
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2687,3126,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.761207784922793506687810349831,44,36
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,14.000000000000000000000000000000,3442,211,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.621652975382283368155356129137,69,36
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,442,2830,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.062453934023156763843953598325,37,36
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,11.000000000000000000000000000000,2388,2233,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.412885967513546336959961990942,100,36
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,4310,4541,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.972933977572247421505835518474,7,36
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.209999999999999992228438827624,6.000000000000000000000000000000,3956,880,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.857008329628035414593512086867,68,36
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2112,3577,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.294919760933145869152838258742,26,36
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,9.000000000000000000000000000000,11,1672,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.176431433955207467301207202581,89,36
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3245,4058,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.741569471450522543776173733932,5,36
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,8.000000000000000000000000000000,3119,1982,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.881122288228943895127542873524,83,36
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1118,4988,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.442321768293157224771761093507,25,36
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,731,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,36
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,427,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.903903653382608474053938607540,1,36
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,4415,222,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,28,36
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4989,1223,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,9,36
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,7.000000000000000000000000000000,5000,34,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.004369792899340644437566893998,1,36
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1293,3714,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49,36
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,296,235,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,36
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,386,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,36
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,7.000000000000000000000000000000,5000,1213,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,36
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,5000,100,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18,36
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,781,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,36
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,1,5,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,67,36
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4903,1270,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,11,36
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,4369,809,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,36
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,59,36
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,43,36
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,1,226,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,2,36
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,4274,271,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,36
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20,36
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1777,916,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,36
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,1,612,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43,36
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,56,36
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,5000,269,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,35,36
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2950,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62,36
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1278,375,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,36
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,1,972,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,36
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,1,10,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,36
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,908,1562,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,36
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3580,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48,36
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,36
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,2326,20,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.576370053242540758553502655559,1,36
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,3411,56,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.521856878617747765858325692534,10,36
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3367,2439,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.664835936784210268513106711907,24,36
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,660,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.554034696904332601974374483689,14,36
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,2731,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.733516871488434918369136994443,21,36
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,763,3604,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.687259721988146443649725370051,87,36
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,5000,3,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.521559644459561599916241902974,1,36
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,79,3527,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.450279376939642039801015016565,67,36
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3524,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.469891786707106851039839057194,6,36
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,1489,16,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.602993578830086085496020587016,1,36
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4952,3394,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.714562012488741626903276937810,25,36
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2458,2,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,92,36
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1766,4013,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.749214659149414874406147646368,85,36
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1478,2997,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.589243038258298823528491539037,5,36
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,149,2282,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.561883449062005380092443829199,19,36
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3777,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.873725067138626521057176432805,15,36
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2929,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.776098657160425919876445277623,29,36
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3481,3981,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.740916437469230304557754607231,5,36
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4357,3869,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.813539769220004482797037326236,17,36
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,624,2421,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.656456422574216547083381101402,13,36
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1628,2494,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.428779962386372393012834436377,1,36
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1487,2195,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.920429599693950994954150246485,23,36
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,10.000000000000000000000000000000,2716,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,22,36
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4082,2605,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.564550815654899729167937039165,36,36
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3334,4697,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.824449756364803665320550862816,98,36
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,3903,42,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.460381775061544429306081838149,6,36
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,159,3677,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.530024674635956483115251103300,24,36
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2642,3674,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.539323012779061472521391351620,53,36
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1640,3646,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.588510481059891565891462050786,84,36
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,4818,21,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.565136128734539666673697411170,55,36
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,3503,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,36,36
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3940,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37,36
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,88.000000000000000000000000000000,3974,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,36,36
93,93_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20,36
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2279,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.935576314263476205290714915463,86,36
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,2454,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54,36
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,119,629,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20,36
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4971,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.990899587561194228335637035343,17,36
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50,36
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37,36
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4634,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,91,36
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,2457,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,35,36
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4526,1993,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,36
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,2068,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35,36
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,4424,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,36,36
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,134.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40,36
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,36
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,36
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1,535,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,30,36
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,255,772,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42,36
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3449,1515,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21,36
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4903,2202,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54,36
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83,36
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3188,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,36
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,10.000000000000000000000000000000,606,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,4,36
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1622,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.447465672093408928233770893712,34,36
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,255,4427,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17,36
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4572,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15,36
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,73.000000000000000000000000000000,4413,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,36
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1541,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,36
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,25.000000000000000000000000000000,1239,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.357642991171192414778801094144,23,36
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,41.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.277287676044628117466572803096,28,36
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,36
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,91.000000000000000000000000000000,1013,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.801403027264162015619319845428,35,36
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,217.000000000000000000000000000000,2112,3,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53,36
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,28.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,36
126,126_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,60,36
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,7.000000000000000000000000000000,386,167,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.525476768123815163313850007398,32,36
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,36.000000000000000000000000000000,4585,85,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,85,36
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1597,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.814242933052614081823605829413,44,36
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,27.000000000000000000000000000000,198,42,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67,36
131,131_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,36
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,106.000000000000000000000000000000,4400,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37,36
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,3044.000000000000000000000000000000,4945,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.566906642925080639372481527971,89,36
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,148,4383,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.278256993034307120726822404322,26,36
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,39,164,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.539891652159690926815471812006,29,36
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,794,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.878348451744490055226322056114,50,36
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,79.000000000000000000000000000000,148,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.492479818478486708333008436966,35,36
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,1,841,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.572124089532439650263029307098,100,36
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,7.000000000000000000000000000000,790,16,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.539552342321042988082524516358,21,36
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,17.000000000000000000000000000000,1,587,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,36
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,36
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,2156,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,55,36
143,143_0,FAILED,BoTorch,GenerationStep_1,,,3643,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,36
144,144_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,49,36
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3287,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,36
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25,36
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,19.000000000000000000000000000000,1,818,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,36
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,124.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39,36
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,4960,861,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.744374840882016552967570532928,100,36
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,84.000000000000000000000000000000,1370,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.754264649252358254649664104363,36,36
151,151_0,FAILED,BoTorch,GenerationStep_1,,,1722,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,26,36
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,22.000000000000000000000000000000,4406,123,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.457058914905446755927442836764,81,36
153,153_0,FAILED,BoTorch,GenerationStep_1,,,229,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.287077829316758681432730782035,61,36
154,154_0,FAILED,BoTorch,GenerationStep_1,,,3780,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,36
155,155_0,FAILED,BoTorch,GenerationStep_1,,,2161,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,9,36
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,365,1481,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.816533081489892675897124263429,1,36
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,1551,1346,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.634333160689608765991920336091,1,36
158,158_0,FAILED,BoTorch,GenerationStep_1,,,2344,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60,36
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,55.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.722254543556772432566503994167,31,36
160,160_0,FAILED,BoTorch,GenerationStep_1,,,2724,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.586912592935386889791971043451,1,36
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,190,172,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.561892318324005546337218675035,100,36
162,162_0,FAILED,BoTorch,GenerationStep_1,,,2033,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.252990139275916903205398966747,100,36
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,833,1323,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,36
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,2358,1523,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.499027491861604999279222738551,1,36
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,276,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.215358376664226747188024546631,25,36
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,7.000000000000000000000000000000,1442,170,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.766702138848527670056398619636,42,36
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,148.000000000000000000000000000000,3553,15,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.397583292838867230489796611437,78,36
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,4563,74,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.498063516989872667739547296151,32,36
169,169_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,36
170,170_0,FAILED,BoTorch,GenerationStep_1,,,4782,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,42,36
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,791,62,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.782111781716743115211443182488,24,36
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,1723,104,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.737221957236776415101076054270,4,36
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,4016,24,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.136350359275628885136200096895,25,36
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,467,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,36
175,175_0,FAILED,BoTorch,GenerationStep_1,,,2528,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,11,36
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,2684,1363,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,36
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,153.000000000000000000000000000000,4155,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.768446723494778938245985955291,42,36
178,178_0,FAILED,BoTorch,GenerationStep_1,,,1766,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,78,36
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2873,50,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.245030130404313734038268535187,100,36
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,323,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.176905679005112198565186076848,58,36
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,194.000000000000000000000000000000,2907,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45,36
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,512,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.341982753664774263846481971996,52,36
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,584,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.734240630566694529868243535020,47,36
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,662.000000000000000000000000000000,1572,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.714574560711732087447956018877,62,36
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,17.000000000000000000000000000000,3009,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.525696231174618722192803943472,16,36
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,4543,16,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.341039478838494947154913461418,63,36
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,2884,15,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.607404879865403590777361841901,40,36
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,1720,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.352959187218779446570948721273,35,36
189,189_0,FAILED,BoTorch,GenerationStep_1,,,2208,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64,36
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,22.000000000000000000000000000000,481,29,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.137456516917103810371258987288,56,36
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,1716,20,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.651876279112699297257904618164,22,36
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,65,25,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.175125688440970456172252056604,16,36
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2537,24,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.215987297977999176401553427240,69,36
194,194_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,36
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,3890,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.626947327364572815078247458587,44,36
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1587,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.439878293635074801848361403245,30,36
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,3760,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.199333189556212070359109134188,47,36
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,4602,31,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.850345141199137066756463809725,42,36
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,175.000000000000000000000000000000,73,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,44,36
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4710,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.710346643438734215436625163420,57,36
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,772,11,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.847278774758107089404290945822,38,36
202,202_0,FAILED,BoTorch,GenerationStep_1,,,2538,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,52,36
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,3585,9,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.361452361342543770916790890624,62,36
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,3732,14,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.169431702322604460508870261037,5,36
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,4733,45,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.291096445802198677821337469140,55,36
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,12.000000000000000000000000000000,33,53,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.148110481236106983349287702367,54,36
207,207_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,36
208,208_0,FAILED,BoTorch,GenerationStep_1,,,2494,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.652358949086804584815979524137,58,36
209,209_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,36
210,210_0,FAILED,BoTorch,GenerationStep_1,,,3443,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.269145953546188809735184577221,21,36
211,211_0,FAILED,BoTorch,GenerationStep_1,,,890,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,36
212,212_0,FAILED,BoTorch,GenerationStep_1,,,1881,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,60,36
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2871,55,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.487265097534422653158259208794,17,36
214,214_0,FAILED,BoTorch,GenerationStep_1,,,3512,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.716997142656901731427865342994,40,36
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,42.000000000000000000000000000000,1323,14,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.775231840195855892439169565478,76,36
216,216_0,FAILED,BoTorch,GenerationStep_1,,,3143,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.560310198709805806771555580781,22,36
217,217_0,FAILED,BoTorch,GenerationStep_1,,,2606,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,36
218,218_0,FAILED,BoTorch,GenerationStep_1,,,2907,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,44,36
219,219_0,FAILED,BoTorch,GenerationStep_1,,,2700,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.327425052004183481102472796920,12,36
220,220_0,FAILED,BoTorch,GenerationStep_1,,,762,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,36
221,221_0,FAILED,BoTorch,GenerationStep_1,,,2771,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,27,36
222,222_0,FAILED,BoTorch,GenerationStep_1,,,1999,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.351281768636409474915183182020,7,36
223,223_0,FAILED,BoTorch,GenerationStep_1,,,2548,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.189841330572828037581700755254,31,36
224,224_0,FAILED,BoTorch,GenerationStep_1,,,809,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.203042532464852265583488133416,25,36
225,225_0,FAILED,BoTorch,GenerationStep_1,,,881,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.622815712548079103427767222456,29,36
226,226_0,FAILED,BoTorch,GenerationStep_1,,,2951,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.209781992137080125493397986247,11,36
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,545,126,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.110110949352165699011152355524,21,36
228,228_0,FAILED,BoTorch,GenerationStep_1,,,4302,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,52,36
229,229_0,FAILED,BoTorch,GenerationStep_1,,,1441,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,16,36
230,230_0,FAILED,BoTorch,GenerationStep_1,,,732,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,66,36
231,231_0,FAILED,BoTorch,GenerationStep_1,,,4369,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.250731514960039980621786526171,36,36
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4441,4,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.637892787767391333808575382136,74,36
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,4807,45,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,36
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,4742,83,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.132145733689252753428888809140,21,36
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,3602,27,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.504304885370414845979780693597,16,36
236,236_0,FAILED,BoTorch,GenerationStep_1,,,4783,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.723617868227418692406160971586,79,36
237,237_0,FAILED,BoTorch,GenerationStep_1,,,2427,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.666412920642323380882032779482,83,36
238,238_0,FAILED,BoTorch,GenerationStep_1,,,2316,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.934908101740512753607958984503,1,36
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,14.000000000000000000000000000000,1835,49,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.865419040113287962867616442963,51,36
240,240_0,FAILED,BoTorch,GenerationStep_1,,,820,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,36
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,14.000000000000000000000000000000,3007,15,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.732632914234300103295538519887,37,36
242,242_0,FAILED,BoTorch,GenerationStep_1,,,3862,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,36
243,243_0,FAILED,BoTorch,GenerationStep_1,,,3052,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,52,36
244,244_0,FAILED,BoTorch,GenerationStep_1,,,4010,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24,36
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,4512,118,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.829693009215246024545820091589,25,36
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,7.000000000000000000000000000000,4825,11,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.220444850446322809789378993628,12,36
247,247_0,FAILED,BoTorch,GenerationStep_1,,,3549,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.273754951934181922634792272220,32,36
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1907,87,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.703622837474115359057691421185,41,36
249,249_0,FAILED,BoTorch,GenerationStep_1,,,2228,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,36
250,250_0,FAILED,BoTorch,GenerationStep_1,,,3032,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.880865838384609856070994737820,37,36
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,2322,10,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.682400628448815771420754572318,36,36
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,7.000000000000000000000000000000,125,115,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.638047346414530536229392509995,28,36
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4252,135,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,32,36
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,13.000000000000000000000000000000,69,8,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.713825880071523921621690078609,42,36
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2468,26,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.361483954501148230242790759803,25,36
256,256_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,33,36
257,257_0,FAILED,BoTorch,GenerationStep_1,,,4308,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,36
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,3849,16,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.281743619895086061521993769929,6,36
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,2002,43,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.229822622772037105098874576470,39,36
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,778,18,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.846190391856084245247870967432,38,36
261,261_0,FAILED,BoTorch,GenerationStep_1,,,1925,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.380652086660948130170112335691,3,36
262,262_0,FAILED,BoTorch,GenerationStep_1,,,3256,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45,36
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,3291,6,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.781345925290139020624735621823,13,36
264,264_0,FAILED,BoTorch,GenerationStep_1,,,1303,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.665971981440626081827360849275,45,36
265,265_0,FAILED,BoTorch,GenerationStep_1,,,2852,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.218505728839809426622409205265,8,36
266,266_0,FAILED,BoTorch,GenerationStep_1,,,832,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,61,36
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,2057,136,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.714302282660801535207895085478,38,36
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,3363,26,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.777822409717387697192236828414,38,36
269,269_0,FAILED,BoTorch,GenerationStep_1,,,1315,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,10,36
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,593,208,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.211907113333688057466019927233,52,36
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,1660,204,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.580014289779650082934381316591,33,36
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,796,291,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.705691473281965353514522121259,41,36
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,3538,113,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.230353190556104980846185981136,53,36
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,7.000000000000000000000000000000,372,215,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.702292531701818711908913428488,39,36
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,2736,325,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.713553291178644522041452091798,41,36
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,3786,335,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,36
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,147,100,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.589082251176468174591605020396,32,36
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1826,394,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.717306714259463240601633060578,43,36
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,1515,175,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73,36
280,280_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,7.000000000000000000000000000000,1423,250,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.232590081925771602344710231591,52,36
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,782,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,36
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,461,175,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.223302163864816799465629060251,51,36
283,283_0,RUNNING,BoTorch,GenerationStep_1,,,2036,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,36
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,3566,110,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.861637658007009421545774330298,28,36
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,1586,206,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.366739360193614249983085073836,32,36
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,4874,417,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74,36
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,132,150,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.198858352935842030984048278697,53,36
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,630,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.786308232331479839416488175630,1,36
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,2146,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.325507322446076885480437113074,18,36
290,290_0,RUNNING,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,36
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,170,2964,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,36
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,495,444,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.712089970064085031609124598617,44,36
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,922,2974,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.697092509205269661443082895858,1,36
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,1757,265,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.703359606496059663882647328137,41,36
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,4660,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.494734908896019176527403260479,100,36
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,267,64,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.688112800139247804409592390584,32,36
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,98,141,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.479229751001708670354872765529,38,36
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,3364,300,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.483900242356079979266780810576,34,36
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,25.000000000000000000000000000000,3145,87,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73,36
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,2902,54,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.780283323859632615970838287467,17,36
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,57.000000000000000000000000000000,3393,33,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.286764319954860014139086388241,81,36
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,10.000000000000000000000000000000,561,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.203201456336375541056327165279,1,36
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,164.000000000000000000000000000000,4655,16,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.505683856354260052867743979732,90,36
304,304_0,FAILED,BoTorch,GenerationStep_1,,,3425,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,77,36
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,12.000000000000000000000000000000,870,252,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,36
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,111.000000000000000000000000000000,4937,45,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.699984563770633338997129158088,99,36
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,240.000000000000000000000000000000,3849,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.348361379025062922742961291078,47,36
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,116.000000000000000000000000000000,923,23,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.485637931786478294071685013478,91,36
309,309_0,FAILED,BoTorch,GenerationStep_1,,,985,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,61,36
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,13.000000000000000000000000000000,3347,84,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,65,36
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,10.000000000000000000000000000000,547,2,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.735482433264945112405541749467,19,36
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2366,1530,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.622496215894615789743227196595,100,36
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4762,1056,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,36
314,314_0,FAILED,BoTorch,GenerationStep_1,,,4710,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,81,36
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,36
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,22.000000000000000000000000000000,4741,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20,36
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,849,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,36
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,54,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,98,36
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,13.000000000000000000000000000000,293,141,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,36
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,1126.000000000000000000000000000000,3985,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,36
321,321_0,FAILED,BoTorch,GenerationStep_1,,,4815,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,36
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,2010.000000000000000000000000000000,1089,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83,36
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,206,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,11,36
324,194_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,36
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3120,3181,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.584178772643678678733181186544,100,36
326,326_0,FAILED,BoTorch,GenerationStep_1,,,127,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.489102449735607791581060155295,83,36
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,16.000000000000000000000000000000,1711,158,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.153510755375595941973898561628,81,36
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,36.000000000000000000000000000000,1256,120,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.362775112431901969323178036575,95,36
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,10.000000000000000000000000000000,2234,99,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.220916158069215967651999221744,54,36
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,703.000000000000000000000000000000,2240,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.263009627037365745216845880350,63,36
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,128.000000000000000000000000000000,1004,27,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.227617999002550169818093195317,95,36
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,1745.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,79,36
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4038,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.195124743395438476900594082508,28,36
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,411.000000000000000000000000000000,4834,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54,36
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,653,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.379863971367707720094841761238,40,36
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.859652662161132230522753161495,26,36
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,318.000000000000000000000000000000,286,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51,36
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,67.000000000000000000000000000000,4073,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.540661526112366619400972922449,33,36
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,187,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55,36
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,21.000000000000000000000000000000,3811,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,36
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,2414,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44,36
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,302,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27,36
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,3743,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.303419858643883988413847418997,19,36
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,354.000000000000000000000000000000,635,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,52,36
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4055,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.249258335817963916358763754033,43,36
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,4676,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22,36
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,279.000000000000000000000000000000,3416,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50,36
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,72,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,45,36
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,365.000000000000000000000000000000,660,10,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.216059511175109880687372765351,97,36
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,365.000000000000000000000000000000,312,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.779957465663628113361482974142,53,36
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,65,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37,36
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4451,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27,36
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,10.000000000000000000000000000000,4541,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.487056319532524151227903530526,23,36
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,2436,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.147040176725710791671986044094,30,36
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,473,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,36
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.199736260591869912994766878001,27,36
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,644.000000000000000000000000000000,4667,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62,36
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,128.000000000000000000000000000000,4501,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.399328547036504444278648406907,40,36
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4207,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44,36
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,3755,1304,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73,36
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,405,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.529900843396588494549348524743,1,36
362,362_0,FAILED,BoTorch,GenerationStep_1,,,175,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,69,36
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,2587,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,81,36
364,364_0,FAILED,BoTorch,GenerationStep_1,,,477,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72,36
365,365_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,36
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,36
367,367_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,36
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,1976,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,73,36
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,4835,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,36
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,3285,29,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.315437774945905136103618815469,38,36
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4767,2029,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.365380845200036941111676469518,1,36
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1080,1158,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,27,36
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,135,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.409351482618103612587390216504,1,36
374,374_0,FAILED,BoTorch,GenerationStep_1,,,1092,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,87,36
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,2795,53,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.284774381157110734186233003129,21,36
376,376_0,FAILED,BoTorch,GenerationStep_1,,,1849,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55,36
377,377_0,FAILED,BoTorch,GenerationStep_1,,,4785,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,36
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3143,3968,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21,36
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,10.000000000000000000000000000000,2827,1824,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,36
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,309,23,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.239203147504722074545568943904,1,36
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,8.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.912200253540789152140177975525,1,36
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,4502,1279,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,86,36
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,1363,2692,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,64,36
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,2220,3,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.277594796157688061821744440749,100,36
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,28.000000000000000000000000000000,305,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,36
386,386_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,96,36
387,387_0,FAILED,BoTorch,GenerationStep_1,,,1489,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.213870429054046684580470127912,58,36
388,388_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,36
389,389_0,FAILED,BoTorch,GenerationStep_1,,,4122,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,82,36
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,15.000000000000000000000000000000,2846,11,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.274712014431756024190889320380,42,36
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1103,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,36
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,12.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60,36
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,685,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,36
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,3168.000000000000000000000000000000,118,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,93,36
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,301,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.565893916677870034703801138676,26,36
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,926,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22,36
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,2894,9,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.277611457305647568727380303244,11,36
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,4911,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.603663444656170611324341734871,47,36
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3812,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.746803382008438099148861510912,39,36
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,298,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.677121737247532440306940770824,28,36
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,119,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,36
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,12.000000000000000000000000000000,973,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64,36
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4855,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.807355195117389290437870386086,24,36
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,12.000000000000000000000000000000,152,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.328425863644919824313461731435,28,36
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1654,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.409723770027761002854305161236,51,36
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.762018684111916089207738878031,20,36
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,3049,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.792688667309791372694860456249,34,36
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,1870.000000000000000000000000000000,991,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,81,36
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,36
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3663,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.762456064963418223001667684002,58,36
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49,36
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,309.000000000000000000000000000000,3119,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.393449199704828167512005165918,51,36
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,9.000000000000000000000000000000,187,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,36,36
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,16.000000000000000000000000000000,154,18,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.332030306782303719081994586304,46,36
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,11.000000000000000000000000000000,250,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.650103798166394852842131513171,52,36
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,4649,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12,36
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,12.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29,36
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1459,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.633666910167382191332308138954,21,36
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,564,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,35,36
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,36.000000000000000000000000000000,813,30,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,66,36
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2345,4742,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.844813712691133700261048034008,77,36
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2339,3918,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.833159736132245920536831818026,78,36
423,423_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,173.000000000000000000000000000000,2600,10,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.869931558819224681755599704047,78,36
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,36.000000000000000000000000000000,2500,56,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.847250532434078995613901952311,77,36
425,425_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3178,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,50,36
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,770.000000000000000000000000000000,1171,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,65,36
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,23.000000000000000000000000000000,5000,364,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.879550562046890305190061098983,100,36
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,59.000000000000000000000000000000,685,31,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.620534742458006993715002863610,77,36
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,25.000000000000000000000000000000,92,109,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.460891944893285832041129879144,80,36
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,1659,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29,36
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,2059,2388,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.741364706902391978893263058126,80,36
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,12.000000000000000000000000000000,3882,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,35,36
433,433_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,10.000000000000000000000000000000,1858,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,36
434,434_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2013,4343,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.713477059782508971075287718122,81,36
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,12.000000000000000000000000000000,4647,1201,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.882634728163498083475246858143,100,36
436,436_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,76.000000000000000000000000000000,1029,24,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.698475322446950097621254371916,76,36
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,1604,2771,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.647978850100077496954042999278,80,36
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,43.000000000000000000000000000000,1804,50,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.740167209658145197614942389919,78,36
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,9.000000000000000000000000000000,2986,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,36
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,35.000000000000000000000000000000,4370,156,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.874841932046112824572503541276,100,36
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,2465,1203,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.804629584738535741372800202953,79,36
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,2827,12,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.848750124995610089051467639365,47,36
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,44.000000000000000000000000000000,1332,37,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.790455392156795055846885134088,74,36
444,444_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,597.000000000000000000000000000000,4646,7,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.884564640804112345406906570133,100,36
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,18.000000000000000000000000000000,2173,189,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.756089227758097504050738280057,80,36
446,446_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,10.000000000000000000000000000000,2543,629,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.909933093426197658892817798915,78,36
447,447_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,19.000000000000000000000000000000,603,122,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.697206383081962255410246598331,74,36
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,11.000000000000000000000000000000,3716,4407,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,36
449,449_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,29.000000000000000000000000000000,156,85,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.610324971328966237038571307494,76,36
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,220,3560,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.400956297755073964861338708943,89,36
451,451_0,FAILED,BoTorch,GenerationStep_1,,,3734,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.584664745342311609199725808139,57,36
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,361,36,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.644590085540039603451134553325,91,36
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,4718,1292,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,79,36
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,1553,27,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.685383372352339592659120626195,71,36
455,455_0,FAILED,BoTorch,GenerationStep_1,,,863,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,91,36
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,44,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.608217821409580028380048588588,61,36
457,457_0,FAILED,BoTorch,GenerationStep_1,,,472,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,90,36
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,8.000000000000000000000000000000,3857,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,63,36
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,2213,43,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.190108032490001799263978909948,85,36
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,3487,48,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.190689781616266901265177580171,11,36
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,7.000000000000000000000000000000,4676,2573,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,80,36
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,335,11,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,10,36
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,107,4614,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.384198077985135777456804362373,90,36
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,9.000000000000000000000000000000,4613,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,87,36
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,8.000000000000000000000000000000,3460,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.238477934018167581076141914309,79,36
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,34.000000000000000000000000000000,889,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26,36
467,467_0,FAILED,BoTorch,GenerationStep_1,,,1716,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.612588482907218789819125959184,60,36
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,14.000000000000000000000000000000,4887,413,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,80,36
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,1357,22,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.543541536217110987649903108831,78,36
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,27,63,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.744554090657230216443451809027,69,36
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,32,122,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,11,36
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,4461,3411,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.749445325304213705308598036936,1,36
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,35.000000000000000000000000000000,4428,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.223556874284048051615414465232,26,36
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,10.000000000000000000000000000000,4734,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,46,36
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,20.000000000000000000000000000000,2695,34,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.390689623383112361043600913035,60,36
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,80.000000000000000000000000000000,1825,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,35,36
477,477_0,FAILED,BoTorch,GenerationStep_1,,,2626,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.133977680207211458096594469680,65,36
478,478_0,FAILED,BoTorch,GenerationStep_1,,,2370,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,71,36
479,479_0,FAILED,BoTorch,GenerationStep_1,,,427,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,10,36
480,480_0,COMPLETED,Sobol,SOBOL,0.209999999999999992228438827624,18.000000000000000000000000000000,414,612,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.214087656259536740499527240900,90,36
481,481_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3658,4894,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.969046345043927392914895335707,18,36
482,482_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3907,1353,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.746372321793809523349239043455,59,36
483,483_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2063,3143,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.444622326614335205974271048035,38,36
484,484_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,1620,2153,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.049938407525420190624654281919,66,36
485,485_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,4933,2733,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.759067418090999090907189383870,44,36
486,486_0,FAILED,Sobol,SOBOL,,,2505,1023,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.519855566365644339299478815519,83,36
487,487_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,905,4093,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.297010904496535665941792103695,12,36
488,488_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,1042,1725,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.392562866073101757180552340287,72,36
489,489_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3031,3703,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.665820661205798414172818411316,50,36
490,490_0,COMPLETED,Sobol,SOBOL,0.209999999999999992228438827624,7.000000000000000000000000000000,4524,43,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.928502195933833762708786707663,77,36
491,491_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,1445,4532,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.137741976590827097659541777830,6,36
492,492_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,21.000000000000000000000000000000,2238,804,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.368757187023758870036971302397,96,36
493,493_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,4314,4004,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.564998162709176576790071067080,24,36
494,494_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,9.000000000000000000000000000000,3133,2253,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.842329249991104034300803959923,53,36
495,495_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,278,2942,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.099286744987592101541196143444,32,36
496,496_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,50,2486,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.610152593865990633403839638049,15,36
497,497_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3378,3026,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.323482357345521442937297251774,93,36
498,498_0,COMPLETED,Sobol,SOBOL,0.209999999999999992228438827624,8.000000000000000000000000000000,4069,730,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.086203514588996763001738088406,35,36
499,499_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2466,3761,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.855290178334340400745361421286,63,36
500,500_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,9.000000000000000000000000000000,1353,280,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.649666115980595315626544561383,41,36
501,501_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,4594,4601,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.408840665120631441276088935410,69,36
502,502_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2961,1646,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.188099769810214645371360120407,9,36
503,503_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,13.000000000000000000000000000000,1133,3475,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.878265753002837268326175035327,87,36
504,504_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,9.000000000000000000000000000000,682,1097,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.806414274200797032143839260243,47,36
505,505_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2745,4336,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.002470201127231121032007399307,75,36
506,506_0,COMPLETED,Sobol,SOBOL,0.209999999999999992228438827624,12.000000000000000000000000000000,4692,1920,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.277835919363424166395049041967,2,36
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,7.000000000000000000000000000000,168,23,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.551033434023806778512266646430,100,36
508,508_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2475,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.749831900964220365857215711003,61,36
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,9.000000000000000000000000000000,3914,149,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.674880089643123293186022237933,1,36
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,4765,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,85,36
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,6.000000000000000000000000000000,4587,157,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.732226303858698912563340854831,24,36
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,18.000000000000000000000000000000,207,174,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.028417083622491848965418981265,90,36
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,8.000000000000000000000000000000,3935,208,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.886695534535655194297021353123,11,36
514,514_0,FAILED,BoTorch,BOTORCH_MODULAR,,,291,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.682894706539781570775460295408,63,36
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,529,191,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,10,36
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,560,196,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,11,36
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,9.000000000000000000000000000000,4831,11,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.651698924600494611247825105238,2,36
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,570,3225,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,70,36
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,3918,4279,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.729440060417279156901315673167,100,36
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,5.000000000000000000000000000000,2736,192,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.863505637676544091085872878466,8,36
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,9.000000000000000000000000000000,4646,664,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.699990628007616133565704785724,94,36
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,260.000000000000000000000000000000,910,6,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.690100849669131322094983715942,62,36
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,13.000000000000000000000000000000,273,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,80,36
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,36
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,4729,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.370378477441897335786791245482,87,36
526,526_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4995,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.150350776478045483619538913445,64,36
527,527_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2684,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24,36
528,528_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,48,36
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,12.000000000000000000000000000000,635,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,54,36
530,530_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3730,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,93,36
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,36
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,2632,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,36
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,2405,207,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.750234411608617146605126890790,86,36
534,534_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2692,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,92,36
535,535_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4645,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47,36
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,15.000000000000000000000000000000,4829,74,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.611393587875552535493284267432,52,36
537,537_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4976,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.314728976520043224329725717325,50,36
538,538_0,FAILED,BoTorch,BOTORCH_MODULAR,,,314,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,32,36
539,539_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3997,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,63,36
540,540_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,36
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4877,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.259425209424582470241205101047,49,36
542,542_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1289,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,36
543,543_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.840038102800256036850612417766,63,36
544,544_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2252,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.744463030755162402662961085298,100,36
545,545_0,FAILED,BoTorch,BOTORCH_MODULAR,,,200,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33,36
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,291,52,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.336514768239222550327838234807,88,36
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,35,124,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.216607956901873427435489816162,13,36
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,29.000000000000000000000000000000,1584,21,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.452258053690995087681159247950,49,36
549,549_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3772,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,61,36
550,550_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4572,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,67,36
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,12.000000000000000000000000000000,2622,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,93,36
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4830,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.774720242213050025448239921388,63,36
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,17.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.536327287721752643534500748501,8,36
554,554_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4257,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,68,36
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,221,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33,36
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,11.000000000000000000000000000000,3624,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,7,36
557,557_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,92,36
558,558_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2245,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.817447971359120284517985055572,100,36
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,27.000000000000000000000000000000,4378,41,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,60,36
560,560_0,FAILED,BoTorch,BOTORCH_MODULAR,,,575,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,32,36
561,561_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1080,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78,36
562,540_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,36
563,563_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3193,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,36
564,564_0,FAILED,BoTorch,BOTORCH_MODULAR,,,610,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,70,36
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,11.000000000000000000000000000000,632,3,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.495481016439094090753059163035,10,36
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4241,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,68,36
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,10.000000000000000000000000000000,2,4642,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,77,36
568,568_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3487,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,36
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,8.000000000000000000000000000000,1663,34,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.361132034430512283140757290312,10,36
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,55,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,88,36
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1722,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,93,36
572,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4082,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,36
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,9.000000000000000000000000000000,2353,162,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,70,36
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,248,1447,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,36
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,10.000000000000000000000000000000,2706,100,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.384096746533383326394073264964,1,36
576,576_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4716,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,36
577,388_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,36
578,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47,36
579,579_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1083,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,73,36
580,580_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3862,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.132011152528857533816619707068,64,36
581,581_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,90,36
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,11.000000000000000000000000000000,4276,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.489264290131330992217328912375,100,36
583,583_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3764,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,92,36
584,584_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.139766388656484330521578840489,63,36
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,11.000000000000000000000000000000,2507,50,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.313384056009064604353397953673,32,36
586,586_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4619,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,96,36
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,77.000000000000000000000000000000,302,12,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.158891236441860150829796793914,68,36
588,588_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3880,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77,36
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,2422,58,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.614315098894791189465536263015,61,36
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,14.000000000000000000000000000000,4610,61,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.267753944517406139436133116760,50,36
591,591_0,FAILED,BoTorch,BOTORCH_MODULAR,,,234,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,83,36
592,578_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47,36
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,44.000000000000000000000000000000,498,106,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,82,36
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,19.000000000000000000000000000000,166,191,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.407338696892934282178799776375,87,36
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,1350,3798,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.643335560263975425598914625880,42,36
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,57.000000000000000000000000000000,4150,48,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.786255448771903009408390516910,77,36
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,11.000000000000000000000000000000,1025,26,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.300806950045793886072686973421,30,36
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,9.000000000000000000000000000000,4858,10,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.332358148704869682532603292202,13,36
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,48.000000000000000000000000000000,4183,19,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.085646937989359975262892987757,65,36
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,3143,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.532371769430044161630632970628,90,36
601,601_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4777,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,93,36
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,17.000000000000000000000000000000,4697,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,9,36
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,13.000000000000000000000000000000,4539,66,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.613438835631949452853461934865,62,36
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,48.000000000000000000000000000000,2860,190,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,92,36
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,793,4821,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.687401585977336027077910785010,15,36
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,1331,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.802490789905057400055454763788,1,36
607,607_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3668,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,36
608,608_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3173,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,89,36
609,609_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4664,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,36
610,610_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4148,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77,36
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,11.000000000000000000000000000000,3347,185,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,36
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4790,179,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33,36
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,10.000000000000000000000000000000,2839,194,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.720404865927224635768766347610,100,36
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,2765,1235,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,36
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,4588,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68,36
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,10.000000000000000000000000000000,455,1530,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.332546508656919426183407040298,1,36
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,3550,4792,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,83,36
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,4886,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.161314445157272778885726438602,94,36
619,619_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4723,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,36
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,8.000000000000000000000000000000,4220,59,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.146784640203162120020152769939,64,36
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,83.000000000000000000000000000000,4579,79,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89,36
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,11.000000000000000000000000000000,4899,224,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,36
623,623_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,36
624,624_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1477,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,36
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,14.000000000000000000000000000000,1901,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,70,36
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,4348,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.802769069242542432363052284927,100,36
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,26.000000000000000000000000000000,4974,61,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.392805547334466653719431405989,68,36
628,628_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2135,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,36
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,27.000000000000000000000000000000,3047,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21,36
630,623_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,36
631,631_0,FAILED,BoTorch,BOTORCH_MODULAR,,,49,3,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.534135593016374587982397770247,85,36
632,632_0,FAILED,BoTorch,BOTORCH_MODULAR,,,668,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,78,36
633,633_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4617,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,36
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,2072,5,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.432335181118424227708629814515,73,36
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,1620,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63,36
636,388_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,36
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,8.000000000000000000000000000000,2415,27,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.793584457509336593794557757064,95,36
638,638_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2543,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,36
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,9.000000000000000000000000000000,5000,3284,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,75,36
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,8.000000000000000000000000000000,161,96,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.733633808444719370811526459875,13,36
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,4308,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.362067228558875575661346601919,72,36
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,10.000000000000000000000000000000,3512,4291,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.719613152816907075681740479922,75,36
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,150.000000000000000000000000000000,42,27,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.588899552071699750044331267418,86,36
644,644_0,FAILED,BoTorch,BOTORCH_MODULAR,,,25,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.256847344708958813530585985063,100,36
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,15.000000000000000000000000000000,1990,3,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.816692448074126220447510604572,17,36
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,12.000000000000000000000000000000,1057,3435,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,89,36
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,12.000000000000000000000000000000,72,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.259759225203859855923838040326,75,36
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,395,4815,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36,36
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,2033,174,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39,36
650,650_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,10.000000000000000000000000000000,4261,201,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.575380974102470021946942324576,43,36
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,9.000000000000000000000000000000,5000,161,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,36
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,7.000000000000000000000000000000,82,144,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.103335213159273256455783496222,36,36
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,9.000000000000000000000000000000,3145,179,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.920942480906697502618385442474,1,36
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,16.000000000000000000000000000000,1283,4371,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.302107411162722439001981911133,100,36
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4979,200,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.207092135768177809662660138201,36,36
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,20.000000000000000000000000000000,4940,84,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.491315601053898931560581786471,62,36
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,4916,4727,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,73,36
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,19.000000000000000000000000000000,1555,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,36
659,659_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43,36
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,12.000000000000000000000000000000,3032,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,36
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,7.000000000000000000000000000000,300,77,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.205811698863960307326337328959,20,36
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4358,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,9,36
663,663_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,4687,1681,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.568659220149855149095685646898,11,36
664,664_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,10.000000000000000000000000000000,236,163,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,51,36
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,7.000000000000000000000000000000,4980,201,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.301853781980675583973550146766,35,36
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,7.000000000000000000000000000000,4862,98,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,36
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,6.000000000000000000000000000000,1294,141,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.348510094162541028683932609056,61,36
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,10.000000000000000000000000000000,1553,765,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62,36
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,2791,4283,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.440228952013701491097208418068,18,36
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,250,3886,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.270208912115583399504714634531,5,36
671,671_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,36
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,2115,1468,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,28,36
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,199,2774,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.148589234483519322393973993712,44,36
674,674_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4082,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.195608696967106726605223343540,89,36
675,675_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,270.000000000000000000000000000000,1757,17,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.695159820638791225988484256959,92,36
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,610,425,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.278151632695770922865108332189,100,36
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,12.000000000000000000000000000000,1392,60,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.195875541208055975461732600706,42,36
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,10.000000000000000000000000000000,2186,152,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,36,36
679,679_0,FAILED,BoTorch,BOTORCH_MODULAR,,,495,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,78,36
680,680_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1369,4538,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.107073587014196267008792062825,92,36
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,1827,4307,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.796859100227547245687276245008,25,36
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,11.000000000000000000000000000000,1129,4853,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,79,36
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4940,4343,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.274027424051723866860186262784,12,36
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,6.000000000000000000000000000000,2138,198,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,36
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,24.000000000000000000000000000000,5000,686,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,36
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,11.000000000000000000000000000000,2285,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.192474552121130071391519322788,1,36
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,500.000000000000000000000000000000,2921,4,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.857508099413773816621642254177,68,36
688,688_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,8.000000000000000000000000000000,35,914,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.254880564060684489113839390484,55,36
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,10.000000000000000000000000000000,115,3,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.714120340986092450030753298051,6,36
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,9.000000000000000000000000000000,244,86,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.403137723540458570159472628802,23,36
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,19.000000000000000000000000000000,2354,7,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.635138471839815754726998875412,26,36
692,692_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2953,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,81,36
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,7.000000000000000000000000000000,2346,52,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.219362105825957720561802943848,53,36
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,2135,13,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.220702038970922803651220078791,43,36
695,695_0,FAILED,BoTorch,BOTORCH_MODULAR,,,322,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.477474221024878686669978833379,73,36
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,13.000000000000000000000000000000,3348,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,36
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,11.000000000000000000000000000000,4855,18,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.217514512327848047457123925597,33,36
698,698_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,6.000000000000000000000000000000,2445,4170,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.647760789897574462692375618644,23,36
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,4645,4037,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.376012919729733552376416128027,46,36
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,13.000000000000000000000000000000,1313,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.689464600881114275665595414466,1,36
701,701_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,3699,166,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.487410055400880393161600068197,78,36
702,702_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4273,200,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.293739181943182547929183101587,1,36
</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">Job SlurmJob&lt;job_id=4545315, task_id=0, state=&quot;NODE_FAIL&quot;&gt;, state not in &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;, &#039;interrupted&#039;], which would be removed from the job list, or &#039;completed&#039;, &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;, &#039;out_of_memory&#039;], which would be ignored: node_fail

Job SlurmJob&lt;job_id=4545315, task_id=0, state=&quot;NODE_FAIL&quot;&gt;, state not in &#039;early_stopped&#039;, &#039;abandoned&#039;, &#039;cancelled&#039;, &#039;timeout&#039;, &#039;interrupted&#039;], which would be removed from the job list, or &#039;completed&#039;, &#039;unknown&#039;, &#039;pending&#039;, &#039;running&#039;, &#039;completing&#039;, &#039;out_of_memory&#039;], which would be ignored: node_fail


⚠ Job 4545315 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4545315/4545315_0_result.pkl
has not produced any output (state: NODE_FAIL)
No output/error stream produced ! Check: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4545315/4545315_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4545315/4545315_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4545315/4545315_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4549880/4549880_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552267/4552267_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556277/4556277_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556551/4556551_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556904/4556904_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557619/4557619_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4558889/4558889_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4559164/4559164_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4559864/4559864_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560212/4560212_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560583/4560583_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560958/4560958_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561210/4561210_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561543/4561543_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561796/4561796_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562076/4562076_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562466/4562466_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563797/4563797_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564071/4564071_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564593/4564593_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565124/4565124_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565372/4565372_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566060/4566060_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566396/4566396_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567076/4567076_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567324/4567324_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567588/4567588_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567854/4567854_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568134/4568134_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568667/4568667_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569209/4569209_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570099/4570099_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570397/4570397_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571553/4571553_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571821/4571821_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572089/4572089_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572321/4572321_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572590/4572590_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572856/4572856_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573423/4573423_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573740/4573740_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574258/4574258_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574709/4574709_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575491/4575491_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575731/4575731_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578150/4578150_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579629/4579629_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579908/4579908_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580155/4580155_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580443/4580443_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582766/4582766_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583731/4583731_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583990/4583990_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585179/4585179_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585694/4585694_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586253/4586253_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586582/4586582_0_log.err not found


⚠ Job 4586009 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586009/4586009_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_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586009/4586009_0_log.out
----------------------------------------
submitit INFO (2025-04-19 09:19:23,459) - Starting with JobEnvironment(job_id=4586009, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 09:19:23,463) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586009/4586009_submitted.pkl
slurmstepd: error: *** JOB 4586009 ON i7185 CANCELLED AT 2025-04-19T09:49:45 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586009/4586009_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587373/4587373_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587832/4587832_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4589358/4589358_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4593507/4593507_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597073/4597073_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597823/4597823_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4599019/4599019_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4602336/4602336_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_36_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4603010/4603010_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_36_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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1745074804.949001,20,1,5
1745074806.3029625,20,2,10
1745074806.7252123,20,2,10
1745074816.6486256,20,1,5
1745074816.8472693,20,1,5
1745075349.9493332,20,1,5
1745075350.2326572,20,1,5
1745075351.8995776,20,2,10
1745075352.3115366,20,2,10
1745075361.7035406,20,1,5
1745075361.8715758,20,1,5
1745075921.1099122,20,1,5
1745075921.3925788,20,1,5
1745075923.0066652,20,2,10
1745075923.448601,20,2,10
1745075933.3137004,20,1,5
1745075933.7296941,20,1,5
1745076393.3053164,20,1,5
1745076393.7524424,20,1,5
1745076395.1698458,20,2,10
1745076404.813598,20,2,10
1745076878.3461099,20,2,10
1745076878.867242,20,2,10
1745076880.2371242,20,3,15
1745076880.672358,20,3,15
1745076885.1504893,20,2,10
1745076894.9055967,20,1,5
1745076895.0663722,20,1,5
1745077358.7389858,20,1,5
1745077360.053794,20,1,5
1745077361.4206436,20,2,10
1745077361.8566673,20,2,10
1745077371.795608,20,1,5
1745077371.970912,20,1,5
1745077966.3948936,20,1,5
1745077966.968148,20,1,5
1745077968.3230689,20,2,10
1745077968.774436,20,2,10
1745077978.725129,20,1,5
1745077978.8845532,20,1,5
1745078418.7196014,20,1,5
1745078418.9929879,20,1,5
1745078420.3588207,20,2,10
1745078420.7979767,20,2,10
1745078430.7207458,20,1,5
1745078430.8877745,20,1,5
1745078844.0843203,20,1,5
1745078844.3620272,20,1,5
1745078846.0024025,20,2,10
1745078846.2293494,20,2,10
1745078856.7455006,20,1,5
1745078856.811292,20,1,5
1745079350.2758574,20,1,5
1745079350.564999,20,1,5
1745079352.0335438,20,2,10
1745079352.4784582,20,2,10
1745079362.7706842,20,1,5
1745079362.832722,20,1,5
1745079884.1822484,20,1,5
1745079884.451421,20,1,5
1745079886.000814,20,2,10
1745079886.4516442,20,2,10
1745079896.6929996,20,1,5
1745079896.7644851,20,1,5
1745080343.082661,20,1,5
1745080343.364495,20,1,5
1745080345.053277,20,2,10
1745080345.3123357,20,2,10
1745080356.749313,20,1,5
1745080356.810537,20,1,5
1745080790.493623,20,1,5
1745080790.9514737,20,1,5
1745080792.3466575,20,2,10
1745080792.783793,20,2,10
1745080802.792706,20,1,5
1745080802.9525123,20,1,5
1745081390.2455602,20,1,5
1745081390.550664,20,1,5
1745081392.008592,20,2,10
1745081392.472845,20,2,10
1745081402.8252368,20,1,5
1745081402.8910825,20,1,5
1745081946.894299,20,1,5
1745081947.1645026,20,1,5
1745081948.5572948,20,2,10
1745081948.9774804,20,2,10
1745081958.7385707,20,1,5
1745081958.9463696,20,1,5
</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
1744997842,644.96484375,4.8
1744997842,644.96875,5.0
1744997842,645.03125,4.8
1744997842,645.03125,6.7
1744997842,645.03125,6.8
1744997842,645.03125,5.0
1744997842,645.03125,4.4
1744998271,692.6953125,4.6
1744998271,692.6953125,3.1
1744998271,692.6953125,4.3
1744998271,692.6953125,5.9
1745004205,867.65625,6.0
1745004205,867.65625,6.8
1745004205,867.65625,6.7
1745004205,867.65625,5.6
1745011708,872.765625,7.0
1745011709,872.765625,6.6
1745011709,872.765625,6.5
1745011709,872.765625,6.8
1745019113,911.23046875,7.0
1745019113,911.23046875,6.4
1745019113,911.23046875,6.6
1745019113,911.23046875,5.4
1745026574,933.65625,7.0
1745026574,933.65625,6.8
1745026575,933.65625,6.9
1745026575,933.65625,8.0
1745033830,932.30078125,6.9
1745033830,932.30078125,5.9
1745033831,932.30078125,6.0
1745033831,932.30078125,5.3
1745041968,942.72265625,6.6
1745041968,942.72265625,5.8
1745041968,942.72265625,5.4
1745041968,942.72265625,11.4
1745050839,965.1953125,6.6
1745050839,965.1953125,6.4
1745050839,965.1953125,6.3
1745050839,965.1953125,5.1
1745060960,984.9453125,6.6
1745060960,984.9453125,6.1
1745060960,984.9453125,6.2
1745060960,984.9453125,10.0
1745071626,1025.6953125,6.6
1745071626,1025.6953125,6.1
1745071626,1025.6953125,6.1
1745071626,1025.6953125,4.3
1745081966,1047.16796875,6.6
1745081966,1047.16796875,5.6
1745081966,1047.16796875,6.0
1745081966,1047.16796875,9.4
</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>
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