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,feature_id,batch_size,divergence,detect_batch,statistic,significance,subsets
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1245.000000000000000000000000000000,4793,0,4879,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.405248029232025130941252655248,31
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.080000000000000001665334536938,1274.000000000000000000000000000000,1484,3,1871,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.603530787652358458039714150800,81
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1561.000000000000000000000000000000,1095,1,2906,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.095135870818048709485204028624,63
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,1336.000000000000000000000000000000,2630,4,992,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.894150630300864612820532784099,14
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1196.000000000000000000000000000000,3417,2,2388,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.158428100913763053592120400026,54
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,1437.000000000000000000000000000000,318,4,4301,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.832807618955150208428506175551,5
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1688.000000000000000000000000000000,1948,1,454,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.343904937952756895036543483002,40
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1787.000000000000000000000000000000,4318,2,3462,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.666823088387027418377783760661,91
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,4489.000000000000000000000000000000,3815,1,181,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.247306099632754933237421823833,61
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,1249.000000000000000000000000000000,2460,4,3422,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.757559042185544928571516720694,11
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1228.000000000000000000000000000000,275,0,1958,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.253332866529002775912715605955,47
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.080000000000000001665334536938,1582.000000000000000000000000000000,3452,3,3794,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.739836843818426181940139940707,96
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1256.000000000000000000000000000000,2988,0,2711,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.441496922796592139448534908297,38
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.080000000000000001665334536938,486.000000000000000000000000000000,750,3,875,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.553622006300836799752573824662,87
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1483.000000000000000000000000000000,1673,2,4527,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.061091191476210955635384181051,71
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,1529.000000000000000000000000000000,4591,4,1285,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.945723169092088977727428300568,20
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1224.000000000000000000000000000000,4472,2,3147,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.570759223036467977507868454268,74
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.089999999999999996669330926125,692.000000000000000000000000000000,1764,3,139,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.434120909111574304617420239083,25
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1291.000000000000000000000000000000,815,0,3986,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.927652979068458116707063254580,32
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1906.000000000000000000000000000000,2951,2,2073,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.065531721608713275339930248720,83
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1331.000000000000000000000000000000,3738,0,683,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.866309424918144888039250872680,47
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.080000000000000001665334536938,1737.000000000000000000000000000000,39,3,2596,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.128824494509026415967056777845,98
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1540.000000000000000000000000000000,2228,1,1561,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.634051932733506018458058406395,58
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,1336.000000000000000000000000000000,3997,4,4569,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.372777418164536356037785935769,9
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1357.000000000000000000000000000000,4121,1,1601,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.791304569272324398454543370462,42
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1251.000000000000000000000000000000,2117,2,4842,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.217458772104233505340076249013,91
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1235.000000000000000000000000000000,618,2,1190,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.707309409288689461270394076564,53
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,1859.000000000000000000000000000000,3145,4,3026,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.281961625616997502152827337341,2
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1512.000000000000000000000000000000,2682,1,4104,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.521094028966501365829344649683,69
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,1357.000000000000000000000000000000,1093,4,2267,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.470126224689185634453281181777,18
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,548.000000000000000000000000000000,1475,3,94,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.526917057172620162397436160973,35
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,557.000000000000000000000000000000,919,3,2395,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.473563903662203522504370312163,1
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,544.000000000000000000000000000000,4702,3,1025,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.456010011773380685706769099852,32
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,496.000000000000000000000000000000,375,3,2094,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.598210337208359255178891089599,22
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,618.000000000000000000000000000000,3093,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,578.000000000000000000000000000000,4645,3,4295,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.441606927539472615684701395367,5
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,474.000000000000000000000000000000,120,3,4586,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.527208188203054706200134660321,25
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,464.000000000000000000000000000000,1,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.060131551526731059909014476261,1
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,468.000000000000000000000000000000,854,3,1434,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.653893911139416084132847117871,1
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,566.000000000000000000000000000000,4211,3,465,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.438029324738188230448088233970,1
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,503.000000000000000000000000000000,616,3,1499,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.581509133776222930656274456851,33
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,557.000000000000000000000000000000,2469,3,4267,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.425595954897085293477942968821,2
42,42_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,544.000000000000000000000000000000,783,3,280,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.578729158695731715766896741115,1
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,473.000000000000000000000000000000,1,3,4626,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,544.000000000000000000000000000000,5000,3,399,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,535.000000000000000000000000000000,672,3,1935,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.540603343434525429600512325123,24
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,487.000000000000000000000000000000,2412,3,871,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.057651467274708156907081502140,1
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,479.000000000000000000000000000000,706,3,1985,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.349680791328654205774029151144,1
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,547.000000000000000000000000000000,597,3,4439,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.404130147898085378965760128267,1
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2704.000000000000000000000000000000,5000,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,563.000000000000000000000000000000,1,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,705.000000000000000000000000000000,3172,3,961,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.492892346628717725742774291575,1
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,492.000000000000000000000000000000,1,3,467,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.561833101042341409581126754347,1
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,538.000000000000000000000000000000,4313,3,441,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.494742440514299886000770811734,1
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,516.000000000000000000000000000000,1,3,2427,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.040812264969455024077316096509,1
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,525.000000000000000000000000000000,168,3,775,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.495697980351675338006600668450,25
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,540.000000000000000000000000000000,997,3,4487,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.448714757706717148888486690339,43
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2603.000000000000000000000000000000,117,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.645329890751932255810174865474,1
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,541.000000000000000000000000000000,1,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2416.000000000000000000000000000000,1456,3,83,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,555.000000000000000000000000000000,1827,3,653,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
62,62_0,FAILED,BoTorch,GenerationStep_1,,,2489,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2506.000000000000000000000000000000,572,3,126,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,55
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,6791.000000000000000000000000000000,5000,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,16
65,65_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
66,66_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,602.000000000000000000000000000000,5000,3,186,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2730.000000000000000000000000000000,2567,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,508.000000000000000000000000000000,4492,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18
70,70_0,FAILED,BoTorch,GenerationStep_1,,,1905,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,562.000000000000000000000000000000,3181,3,374,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
72,72_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2802.000000000000000000000000000000,5000,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.051648740070501755750065342454,1
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,568.000000000000000000000000000000,1276,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58
75,75_0,FAILED,BoTorch,GenerationStep_1,,,1472,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,51
76,76_0,FAILED,BoTorch,GenerationStep_1,,,4108,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,523.000000000000000000000000000000,1947,3,703,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,572.000000000000000000000000000000,5000,3,4777,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,53
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,555.000000000000000000000000000000,439,3,3125,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,474.000000000000000000000000000000,4733,3,2543,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2270.000000000000000000000000000000,4960,3,38,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,35
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,607.000000000000000000000000000000,4382,3,657,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37
83,83_0,FAILED,BoTorch,GenerationStep_1,,,3499,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,699.000000000000000000000000000000,2634,3,459,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,682.000000000000000000000000000000,1,3,24,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1210.000000000000000000000000000000,5000,3,1208,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62
87,87_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3750.000000000000000000000000000000,5000,3,475,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1082.000000000000000000000000000000,1,3,436,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,59
90,90_0,RUNNING,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,479.000000000000000000000000000000,1,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,594.000000000000000000000000000000,3492,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
93,93_0,RUNNING,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67
94,94_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
95,95_0,RUNNING,BoTorch,GenerationStep_1,,,544,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,73
96,96_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2415.000000000000000000000000000000,2054,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
98,98_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,569.000000000000000000000000000000,1,3,1179,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,45
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,601.000000000000000000000000000000,1,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,592.000000000000000000000000000000,5000,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,522.000000000000000000000000000000,1,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44
103,103_0,FAILED,BoTorch,GenerationStep_1,,,2562,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,595.000000000000000000000000000000,1,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,58
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2380.000000000000000000000000000000,154,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,77
106,106_0,RUNNING,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56
107,107_0,RUNNING,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,52
108,108_0,FAILED,BoTorch,GenerationStep_1,,,2527,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19
109,109_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2323.000000000000000000000000000000,4894,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
111,111_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,672.000000000000000000000000000000,5000,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
113,113_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,511.000000000000000000000000000000,5000,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2320.000000000000000000000000000000,1,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1753.000000000000000000000000000000,2215,4,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2425.000000000000000000000000000000,1,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2692.000000000000000000000000000000,92,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2632.000000000000000000000000000000,3915,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
120,120_0,FAILED,BoTorch,GenerationStep_1,,,1892,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,5
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,4274.000000000000000000000000000000,5000,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,78
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,4135.000000000000000000000000000000,4413,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
123,123_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
124,65_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
125,125_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16
126,126_0,FAILED,BoTorch,GenerationStep_1,,,3840,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
127,127_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
128,128_0,FAILED,BoTorch,GenerationStep_1,,,2293,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,22
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,541.000000000000000000000000000000,3876,3,4276,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20
130,130_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,3576.000000000000000000000000000000,1,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,69
132,98_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2372.000000000000000000000000000000,1,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
134,134_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,70
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,480.000000000000000000000000000000,3503,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2476.000000000000000000000000000000,5000,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,52
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,557.000000000000000000000000000000,1,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26
138,138_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000111910480882216,1
139,139_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15
140,140_0,FAILED,BoTorch,GenerationStep_1,,,4743,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,510.000000000000000000000000000000,1,3,4868,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,3084.000000000000000000000000000000,1970,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,82
143,143_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19
144,144_0,FAILED,BoTorch,GenerationStep_1,,,3457,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,3205.000000000000000000000000000000,1,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2373.000000000000000000000000000000,5000,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
147,147_0,RUNNING,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
148,148_0,FAILED,BoTorch,GenerationStep_1,,,2629,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,13
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,3284.000000000000000000000000000000,1,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,55
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,556.000000000000000000000000000000,2283,3,3226,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.611454391840077993158786284766,1
151,151_0,RUNNING,BoTorch,GenerationStep_1,,,882,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,66
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2509.000000000000000000000000000000,294,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,75
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,490.000000000000000000000000000000,1113,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,47
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,556.000000000000000000000000000000,1,3,1552,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.430998958554715094759757221254,1
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,632.000000000000000000000000000000,5000,3,1796,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.487550355209601216088799446879,1
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,632.000000000000000000000000000000,1,3,3654,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
157,157_0,RUNNING,BoTorch,GenerationStep_1,,,301,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.961590754460991070651232348609,84
158,158_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.275265072713688108141383281691,1
159,159_0,FAILED,BoTorch,GenerationStep_1,,,442,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,539.000000000000000000000000000000,2275,3,3469,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.557159077980789674278128131846,1
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2543.000000000000000000000000000000,2354,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,558.000000000000000000000000000000,1458,3,2187,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,522.000000000000000000000000000000,2476,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.626547902102101317289850612724,1
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,613.000000000000000000000000000000,2463,3,1892,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
165,165_0,FAILED,BoTorch,GenerationStep_1,,,2288,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.517490648934755270715868391562,21
166,166_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.294793185901003784721297051874,1
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,615.000000000000000000000000000000,2543,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.144524113420754246606136916853,1
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,692.000000000000000000000000000000,1,3,31,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,667.000000000000000000000000000000,2527,3,3866,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,7
170,170_0,FAILED,BoTorch,GenerationStep_1,,,2155,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,668.000000000000000000000000000000,1,3,4181,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,517.000000000000000000000000000000,1354,3,4940,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.874551798658840251476931371144,28
173,173_0,FAILED,BoTorch,GenerationStep_1,,,1007,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,98
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,610.000000000000000000000000000000,812,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39
175,175_0,FAILED,BoTorch,GenerationStep_1,,,691,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.478670694398566520799676027309,67
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,462.000000000000000000000000000000,480,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,561.000000000000000000000000000000,5000,3,2335,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,1243.000000000000000000000000000000,533,3,2964,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.736241104982583882687663390243,100
179,179_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,549.000000000000000000000000000000,1278,3,515,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,608.000000000000000000000000000000,1422,3,404,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.498294251854672742840790533592,30
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,566.000000000000000000000000000000,4451,3,847,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,579.000000000000000000000000000000,29,3,394,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,537.000000000000000000000000000000,3030,3,738,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,648.000000000000000000000000000000,1359,3,597,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,577.000000000000000000000000000000,2041,3,1309,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,576.000000000000000000000000000000,4989,3,762,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,553.000000000000000000000000000000,3787,3,2155,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.173545539971533380185775286009,1
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,575.000000000000000000000000000000,1,3,2668,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,550.000000000000000000000000000000,822,3,1925,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,611.000000000000000000000000000000,1,3,2130,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,555.000000000000000000000000000000,785,3,1424,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,571.000000000000000000000000000000,1,3,1708,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,555.000000000000000000000000000000,5000,3,790,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,617.000000000000000000000000000000,317,3,2314,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,554.000000000000000000000000000000,1,3,445,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,624.000000000000000000000000000000,172,3,2629,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,561.000000000000000000000000000000,5000,3,2249,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,577.000000000000000000000000000000,1,3,755,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,547.000000000000000000000000000000,1,3,2918,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,548.000000000000000000000000000000,2809,3,2116,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,663.000000000000000000000000000000,729,3,859,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,597.000000000000000000000000000000,1261,3,3491,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,557.000000000000000000000000000000,5000,3,1182,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,565.000000000000000000000000000000,2143,3,437,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,547.000000000000000000000000000000,2845,3,1264,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,560.000000000000000000000000000000,2150,3,1726,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,552.000000000000000000000000000000,3796,3,1153,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,560.000000000000000000000000000000,4500,3,1010,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1808.000000000000000000000000000000,3100,3,314,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.981180254166371890178766079771,62
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,630.000000000000000000000000000000,3066,3,994,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.068390456901222099195258863347,9
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,545.000000000000000000000000000000,928,3,330,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.941076912325864767261407450860,24
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,738.000000000000000000000000000000,30,3,46,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.975260799045414628061223538680,21
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,499.000000000000000000000000000000,671,3,1277,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.323689048996891659548680308944,8
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,561.000000000000000000000000000000,217,3,743,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,7
216,216_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,8
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,630.000000000000000000000000000000,1,3,1671,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.336480907521914451852040883750,1
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,522.000000000000000000000000000000,3174,3,3183,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.473387219649805734977832116783,13
219,219_0,FAILED,BoTorch,GenerationStep_1,,,3046,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,64
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,565.000000000000000000000000000000,4994,3,1889,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.798897919991371052716999656695,5
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,3991.000000000000000000000000000000,1908,3,136,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.869651983829614283472153601906,64
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,531.000000000000000000000000000000,2721,3,1385,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.132085846428500158777907813601,13
223,223_0,FAILED,BoTorch,GenerationStep_1,,,1760,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,65
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,542.000000000000000000000000000000,198,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.703598133059522679033648273617,23
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,518.000000000000000000000000000000,1541,3,1782,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.704304267829951369250807147182,10
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,832.000000000000000000000000000000,1010,3,50,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,508.000000000000000000000000000000,3448,3,1605,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.095258649339190981653047174404,5
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,489.000000000000000000000000000000,1917,3,2273,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,10
229,229_0,FAILED,BoTorch,GenerationStep_1,,,555,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16
230,230_0,FAILED,BoTorch,GenerationStep_1,,,3311,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,60
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,550.000000000000000000000000000000,4913,3,1120,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.287436441285505495102370332461,10
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,500.000000000000000000000000000000,1326,3,1477,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.614114860315551847058657131129,18
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,501.000000000000000000000000000000,4795,3,4021,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,9
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,521.000000000000000000000000000000,3824,3,2289,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.636770348686796494597217588307,5
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,499.000000000000000000000000000000,4448,3,531,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.671245337569091660157027945388,13
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,496.000000000000000000000000000000,952,3,2287,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.670604313729202705651744054194,6
237,237_0,FAILED,BoTorch,GenerationStep_1,,,1333,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.727876088166296786319264811027,26
238,238_0,FAILED,BoTorch,GenerationStep_1,,,3999,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.773171527996698082496607185021,62
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,486.000000000000000000000000000000,4916,3,1300,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.903066126715185157891596645641,11
240,240_0,RUNNING,BoTorch,GenerationStep_1,,,672,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,503.000000000000000000000000000000,3823,3,4462,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,548.000000000000000000000000000000,2408,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,45
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2493.000000000000000000000000000000,1432,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,93
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2426.000000000000000000000000000000,4405,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,491.000000000000000000000000000000,4083,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13
246,246_0,FAILED,BoTorch,GenerationStep_1,,,2987,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,47
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,508.000000000000000000000000000000,449,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
248,248_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2343.000000000000000000000000000000,3611,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
250,250_0,FAILED,BoTorch,GenerationStep_1,,,949,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,55
251,251_0,FAILED,BoTorch,GenerationStep_1,,,3173,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
252,252_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,52
253,253_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,4030.000000000000000000000000000000,5000,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20
255,255_0,FAILED,BoTorch,GenerationStep_1,,,2287,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,65
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2441.000000000000000000000000000000,4173,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25
257,257_0,RUNNING,BoTorch,GenerationStep_1,,,546,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20
258,258_0,FAILED,BoTorch,GenerationStep_1,,,2883,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,488.000000000000000000000000000000,4085,3,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,605.000000000000000000000000000000,4055,3,2329,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
261,261_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53
262,262_0,FAILED,BoTorch,GenerationStep_1,,,2442,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,753.000000000000000000000000000000,1,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,70
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,553.000000000000000000000000000000,5000,3,1977,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
265,265_0,RUNNING,BoTorch,GenerationStep_1,,,2674,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,581.000000000000000000000000000000,3022,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48
267,267_0,RUNNING,BoTorch,GenerationStep_1,,,3169,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,47
268,268_0,RUNNING,BoTorch,GenerationStep_1,,,3916,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,552.000000000000000000000000000000,1,3,1843,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,515.000000000000000000000000000000,1671,3,512,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.464227976654635832165496367452,23
271,271_0,RUNNING,BoTorch,GenerationStep_1,,,1624,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.431959820899371405023003944734,23
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2557.000000000000000000000000000000,1670,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.720336421181944630554028208280,100
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,559.000000000000000000000000000000,4406,3,1249,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,495.000000000000000000000000000000,2061,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.649640697391647314873353025177,30
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2399.000000000000000000000000000000,1329,3,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.669008669079754869635223712976,100
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,608.000000000000000000000000000000,2917,3,17,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.610778601647057661772066694539,30
277,277_0,FAILED,BoTorch,GenerationStep_1,,,1936,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,4746.000000000000000000000000000000,1496,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.192123065763156963825508682930,12
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,586.000000000000000000000000000000,3575,3,2264,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
280,280_0,FAILED,BoTorch,GenerationStep_1,,,1783,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2445.000000000000000000000000000000,1199,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
282,282_0,RUNNING,BoTorch,GenerationStep_1,,,3664,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31
283,283_0,RUNNING,BoTorch,GenerationStep_1,,,1649,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
284,284_0,FAILED,BoTorch,GenerationStep_1,,,1770,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,623.000000000000000000000000000000,655,3,97,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.317248746509333601206748198820,20
286,286_0,FAILED,BoTorch,GenerationStep_1,,,3145,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.551710484850319038407917560107,56
287,287_0,RUNNING,BoTorch,GenerationStep_1,,,5000,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,45
288,288_0,FAILED,BoTorch,GenerationStep_1,,,4962,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,66
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,481.000000000000000000000000000000,1967,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,497.000000000000000000000000000000,1563,3,4610,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
291,291_0,FAILED,BoTorch,GenerationStep_1,,,3444,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,53
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,476.000000000000000000000000000000,1660,3,4928,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.422992846355187190887647830095,18
293,293_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,59
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2411.000000000000000000000000000000,1,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.715391511674391189501420740271,37
295,295_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.204795298804964082117763268798,63
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1722.000000000000000000000000000000,332,3,423,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,67
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,473.000000000000000000000000000000,3869,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.553250134381979674635942956229,17
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2905.000000000000000000000000000000,3044,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,506.000000000000000000000000000000,2341,3,4885,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.791836949528541333975795168953,36
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,555.000000000000000000000000000000,5000,3,3668,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,509.000000000000000000000000000000,1,3,474,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,6
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,557.000000000000000000000000000000,1,3,3215,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,583.000000000000000000000000000000,1,3,490,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,508.000000000000000000000000000000,528,3,482,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1807.000000000000000000000000000000,5000,2,1093,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,559.000000000000000000000000000000,5000,3,3384,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,608.000000000000000000000000000000,5000,3,2719,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,544.000000000000000000000000000000,5000,3,2645,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,547.000000000000000000000000000000,5000,3,3809,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1880.000000000000000000000000000000,5000,2,3770,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1265.000000000000000000000000000000,1245,1,3306,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1445.000000000000000000000000000000,1859,2,4706,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,5
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1746.000000000000000000000000000000,3926,2,3011,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,694.000000000000000000000000000000,1582,3,3708,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1281.000000000000000000000000000000,3906,1,1113,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1226.000000000000000000000000000000,5000,2,3724,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1355.000000000000000000000000000000,777,1,647,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,588.000000000000000000000000000000,1,3,3967,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1735.000000000000000000000000000000,3791,2,3635,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.443966628950024533306617513517,1
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1390.000000000000000000000000000000,5000,1,4071,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1385.000000000000000000000000000000,1,2,3934,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1258.000000000000000000000000000000,1687,2,1731,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,571.000000000000000000000000000000,1,3,466,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1229.000000000000000000000000000000,4365,2,2616,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1427.000000000000000000000000000000,4749,1,4641,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1272.000000000000000000000000000000,1,2,485,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1848.000000000000000000000000000000,68,1,3897,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,551.000000000000000000000000000000,5000,3,1546,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1550.000000000000000000000000000000,5000,1,4392,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,519.000000000000000000000000000000,1,3,896,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,518.000000000000000000000000000000,4302,3,3128,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,510.000000000000000000000000000000,1,3,3583,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,518.000000000000000000000000000000,5000,3,2093,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1295.000000000000000000000000000000,2754,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,508.000000000000000000000000000000,5000,3,4355,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,523.000000000000000000000000000000,5000,3,1676,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,474.000000000000000000000000000000,1074,3,654,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,612.000000000000000000000000000000,1,3,3957,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,521.000000000000000000000000000000,1,3,3283,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,506.000000000000000000000000000000,5000,3,3815,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,526.000000000000000000000000000000,1,3,988,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,505.000000000000000000000000000000,1,3,2953,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,568.000000000000000000000000000000,1,3,828,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,484.000000000000000000000000000000,103,3,1536,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,713.000000000000000000000000000000,4968,3,2652,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,52
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,504.000000000000000000000000000000,5000,3,2614,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,509.000000000000000000000000000000,1,3,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,39
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1328.000000000000000000000000000000,804,4,1655,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,69
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,466.000000000000000000000000000000,1,3,742,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,502.000000000000000000000000000000,5000,3,4844,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,506.000000000000000000000000000000,1,3,949,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,485.000000000000000000000000000000,5000,3,1273,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,94
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,631.000000000000000000000000000000,1,3,4710,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,61
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,553.000000000000000000000000000000,1,3,817,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1376.000000000000000000000000000000,1,4,897,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1585.000000000000000000000000000000,3213,0,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,523.000000000000000000000000000000,1,3,2295,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,491.000000000000000000000000000000,1,3,1899,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,663.000000000000000000000000000000,5000,3,4455,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,511.000000000000000000000000000000,364,3,819,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,513.000000000000000000000000000000,1,3,643,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,548.000000000000000000000000000000,3543,3,2961,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,498.000000000000000000000000000000,5000,3,4764,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,35
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,519.000000000000000000000000000000,1,3,3550,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,1409.000000000000000000000000000000,5000,4,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,529.000000000000000000000000000000,5000,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,51
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,503.000000000000000000000000000000,5000,3,1024,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,497.000000000000000000000000000000,3886,3,900,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,514.000000000000000000000000000000,5000,3,3527,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,557.000000000000000000000000000000,1,3,3498,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1916.000000000000000000000000000000,305,0,1132,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1043.000000000000000000000000000000,5000,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.118020708524470913092230262009,96
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,502.000000000000000000000000000000,1,3,4029,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,503.000000000000000000000000000000,1,3,711,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,5
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,513.000000000000000000000000000000,1,3,3179,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,559.000000000000000000000000000000,5000,3,4543,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,503.000000000000000000000000000000,5000,3,2620,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,550.000000000000000000000000000000,2788,3,2112,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,510.000000000000000000000000000000,5000,3,1145,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,547.000000000000000000000000000000,5000,3,4418,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,499.000000000000000000000000000000,1,3,4305,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,544.000000000000000000000000000000,5000,3,3206,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,594.000000000000000000000000000000,5000,3,3308,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,622.000000000000000000000000000000,5000,3,1808,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,489.000000000000000000000000000000,1,3,665,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,11
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,538.000000000000000000000000000000,1858,3,4117,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,552.000000000000000000000000000000,5000,3,4083,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,518.000000000000000000000000000000,1,3,808,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,511.000000000000000000000000000000,5000,3,2986,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,574.000000000000000000000000000000,5000,3,3884,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,564.000000000000000000000000000000,5000,3,717,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,551.000000000000000000000000000000,1,3,4569,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,558.000000000000000000000000000000,1,3,1884,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,553.000000000000000000000000000000,5000,3,3058,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,558.000000000000000000000000000000,5000,3,1520,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,553.000000000000000000000000000000,5000,3,746,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,992.000000000000000000000000000000,1,3,4577,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,93
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,594.000000000000000000000000000000,5000,3,4663,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,574.000000000000000000000000000000,1,3,1562,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,758.000000000000000000000000000000,5000,3,3154,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,58
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1408.000000000000000000000000000000,4841,3,4538,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,91
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,951.000000000000000000000000000000,3916,3,4353,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,80
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1201.000000000000000000000000000000,287,3,4285,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,85
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,761.000000000000000000000000000000,2304,3,4576,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,77
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,501.000000000000000000000000000000,251,3,3486,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,6
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,557.000000000000000000000000000000,1,3,4441,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,546.000000000000000000000000000000,1,3,2797,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,564.000000000000000000000000000000,5000,3,2975,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,552.000000000000000000000000000000,5000,3,4140,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,479.000000000000000000000000000000,4285,3,2870,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,7
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,510.000000000000000000000000000000,1,3,544,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,7
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,508.000000000000000000000000000000,44,3,494,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,547.000000000000000000000000000000,4970,3,644,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,554.000000000000000000000000000000,5000,3,4686,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,594.000000000000000000000000000000,5000,3,621,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,551.000000000000000000000000000000,5000,3,1621,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,544.000000000000000000000000000000,1,3,1446,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,549.000000000000000000000000000000,5000,3,1337,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,583.000000000000000000000000000000,5000,3,3489,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,611.000000000000000000000000000000,1844,3,560,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2653.000000000000000000000000000000,2676,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,493.000000000000000000000000000000,1,3,1176,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,2
423,423_0,RUNNING,BoTorch,GenerationStep_1,,,2056,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,573.000000000000000000000000000000,3122,3,3655,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
425,425_0,FAILED,BoTorch,GenerationStep_1,,,3637,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,590.000000000000000000000000000000,1826,3,3090,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,565.000000000000000000000000000000,1770,3,963,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,550.000000000000000000000000000000,3955,3,3826,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,650.000000000000000000000000000000,2143,3,371,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,519.000000000000000000000000000000,2834,3,1872,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2581.000000000000000000000000000000,3615,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,563.000000000000000000000000000000,1785,3,4171,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
433,433_0,RUNNING,BoTorch,GenerationStep_1,,,2551,3,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29
434,434_0,FAILED,BoTorch,GenerationStep_1,,,4988,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,505.000000000000000000000000000000,2819,3,514,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20
436,436_0,FAILED,BoTorch,GenerationStep_1,,,2865,3,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,565.000000000000000000000000000000,4643,3,2578,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,506.000000000000000000000000000000,2254,3,4357,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,506.000000000000000000000000000000,862,3,3439,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,560.000000000000000000000000000000,1512,3,1244,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,500.000000000000000000000000000000,3627,3,1220,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2949.000000000000000000000000000000,3253,3,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,94
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,549.000000000000000000000000000000,1557,3,1012,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30
444,444_0,FAILED,BoTorch,GenerationStep_1,,,4586,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,51
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,517.000000000000000000000000000000,3466,3,1824,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
446,446_0,FAILED,BoTorch,GenerationStep_1,,,3674,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46
447,447_0,FAILED,BoTorch,GenerationStep_1,,,3716,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,566.000000000000000000000000000000,2055,3,762,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
449,449_0,FAILED,BoTorch,GenerationStep_1,,,3899,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,56
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,482.000000000000000000000000000000,1,3,616,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,643.000000000000000000000000000000,1,3,2755,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,516.000000000000000000000000000000,1,3,1672,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,570.000000000000000000000000000000,2889,3,4715,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,35
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,531.000000000000000000000000000000,5000,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,594.000000000000000000000000000000,1,3,4475,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,36
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,519.000000000000000000000000000000,5000,3,3991,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1220.000000000000000000000000000000,2091,0,1138,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1234.000000000000000000000000000000,4322,0,2532,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,550.000000000000000000000000000000,816,3,1217,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,501.000000000000000000000000000000,1,3,574,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,538.000000000000000000000000000000,5000,3,914,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,595.000000000000000000000000000000,1,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,667.000000000000000000000000000000,1059,3,2237,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,576.000000000000000000000000000000,5000,3,4540,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,36
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,579.000000000000000000000000000000,1,3,1641,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,607.000000000000000000000000000000,5000,3,3702,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,36
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,543.000000000000000000000000000000,4522,3,1807,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,503.000000000000000000000000000000,1,3,445,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,559.000000000000000000000000000000,5000,3,2199,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,521.000000000000000000000000000000,5000,3,1988,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,536.000000000000000000000000000000,1,3,2633,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1221.000000000000000000000000000000,2221,0,462,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,786.000000000000000000000000000000,1,3,1384,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,588.000000000000000000000000000000,1101,3,1982,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,66
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1208.000000000000000000000000000000,4569,0,2233,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,496.000000000000000000000000000000,1,3,1205,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1091.000000000000000000000000000000,1,3,4624,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,91
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,518.000000000000000000000000000000,1001,3,4281,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,631.000000000000000000000000000000,5000,3,4337,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,673.000000000000000000000000000000,4562,3,2525,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,627.000000000000000000000000000000,5000,3,4717,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
482,482_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,605.000000000000000000000000000000,1,3,4545,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3128.000000000000000000000000000000,1,3,1226,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,669.000000000000000000000000000000,1,3,2852,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,559.000000000000000000000000000000,2159,3,3418,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,486.000000000000000000000000000000,1,3,632,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,35
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,602.000000000000000000000000000000,1,3,3740,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
488,488_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,635.000000000000000000000000000000,1,3,3816,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,572.000000000000000000000000000000,1,3,671,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,537.000000000000000000000000000000,1,3,4773,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,756.000000000000000000000000000000,1,3,484,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,3
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,513.000000000000000000000000000000,1,3,666,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,485.000000000000000000000000000000,4767,3,955,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,504.000000000000000000000000000000,4193,3,1554,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,497.000000000000000000000000000000,5000,3,1806,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,569.000000000000000000000000000000,1,3,657,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,9
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,617.000000000000000000000000000000,5000,3,2449,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.024555708208437734829665544112,42
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,589.000000000000000000000000000000,1,3,2082,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,518.000000000000000000000000000000,4659,3,2870,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.828870423583633164632544776396,41
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,485.000000000000000000000000000000,3010,3,3229,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,8
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,553.000000000000000000000000000000,1,3,4419,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,980.000000000000000000000000000000,2876,3,1625,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,487.000000000000000000000000000000,368,3,716,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,36
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,497.000000000000000000000000000000,5000,3,4549,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,588.000000000000000000000000000000,1,3,3459,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,522.000000000000000000000000000000,1,3,2758,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
507,507_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,551.000000000000000000000000000000,4450,3,4592,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1552.000000000000000000000000000000,5000,3,3265,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
509,509_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,851.000000000000000000000000000000,5000,3,4018,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,89
510,510_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,558.000000000000000000000000000000,2150,3,769,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.040616207686961627865152024697,18
511,511_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1029.000000000000000000000000000000,299,3,30,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20
512,512_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,492.000000000000000000000000000000,1499,3,1364,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.714979626979610594084135755111,5
513,513_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,520.000000000000000000000000000000,4210,3,354,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30
514,514_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,845.000000000000000000000000000000,1153,3,532,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43
515,515_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,780.000000000000000000000000000000,5000,3,740,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
516,516_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,533.000000000000000000000000000000,4428,3,261,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,31
517,517_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,524.000000000000000000000000000000,4964,3,3369,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,4
518,518_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,724.000000000000000000000000000000,1463,3,917,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46
519,519_0,FAILED,BoTorch,GenerationStep_1,,,3125,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31
520,520_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,3755.000000000000000000000000000000,2161,3,57,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,45
521,521_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,533.000000000000000000000000000000,2138,3,1720,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,3
522,522_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,695.000000000000000000000000000000,3492,3,1061,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
523,523_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1751.000000000000000000000000000000,1,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
524,524_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,575.000000000000000000000000000000,926,3,1042,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45
525,525_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,519.000000000000000000000000000000,558,3,2970,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,5
526,526_0,FAILED,BoTorch,GenerationStep_1,,,3364,3,12,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,58
527,527_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,757.000000000000000000000000000000,2652,3,1361,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48
528,528_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,549.000000000000000000000000000000,3558,3,475,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28
529,529_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,492.000000000000000000000000000000,4590,3,293,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32
530,530_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1336.000000000000000000000000000000,4595,3,627,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,58
531,531_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,539.000000000000000000000000000000,3478,3,2722,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.109669911468828415457288372181,3
532,532_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,473.000000000000000000000000000000,597,3,1093,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19
533,533_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,477.000000000000000000000000000000,157,3,1423,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,6
534,534_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,484.000000000000000000000000000000,1398,3,631,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.550071723129787359951592407015,5
535,535_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,531.000000000000000000000000000000,653,3,2792,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,3
536,536_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2119.000000000000000000000000000000,734,3,103,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42
537,537_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2344.000000000000000000000000000000,4981,3,8,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.967549313666944410528003572836,29
538,538_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,606.000000000000000000000000000000,1351,3,1175,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,39
539,539_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,514.000000000000000000000000000000,4451,3,959,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,5
540,540_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1995.000000000000000000000000000000,1612,1,1237,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.855663537740707358381087033194,67
541,541_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1477.000000000000000000000000000000,3114,2,2545,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.442674884991720307692020242030,10
542,542_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1365.000000000000000000000000000000,4971,2,1348,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.507017310932278641999459978251,34
543,543_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,1380.000000000000000000000000000000,1005,4,4882,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.171498134840279814472552288862,92
544,544_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1502.000000000000000000000000000000,52,1,3278,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.659391889877617320969704906020,42
545,545_0,FAILED,Sobol,SOBOL,,,4052,4,525,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.011023156460374595316809021028,84
546,546_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1487.000000000000000000000000000000,3411,0,4305,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.944747588431462670399696435197,59
547,547_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,543.000000000000000000000000000000,1943,3,1904,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.345608473489060985528453784354,16
548,548_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1480.000000000000000000000000000000,2203,2,4054,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.696980742137879083486495801480,49
549,549_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,1170.000000000000000000000000000000,3695,3,2238,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.098336601786315439022168050087,76
550,550_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1455.000000000000000000000000000000,4313,0,3520,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.907151155496016103896295135200,51
551,551_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,2039.000000000000000000000000000000,335,2,181,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.258302668323740380884601108846,25
552,552_0,COMPLETED,Sobol,SOBOL,0.020000000000000000416333634234,2621.000000000000000000000000000000,642,0,1702,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.754839303942397288338383987139,75
553,553_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,552.000000000000000000000000000000,4634,3,4572,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.418840493066236385644174333720,1
554,554_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1472.000000000000000000000000000000,2751,1,874,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.607833924088627131077089416067,27
555,555_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,2408.000000000000000000000000000000,1275,4,2845,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.195340107440948484995857370450,100
556,556_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1363.000000000000000000000000000000,1487,1,2485,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.490225994568318113042693084935,29
557,557_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,2503.000000000000000000000000000000,2538,4,3792,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.839389411918818995061997156881,97
558,558_0,COMPLETED,Sobol,SOBOL,0.020000000000000000416333634234,4822.000000000000000000000000000000,4378,0,90,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.155134763205423964471663111908,71
559,559_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,538.000000000000000000000000000000,898,3,3624,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.554478718331083642034684544342,4
560,560_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1355.000000000000000000000000000000,548,0,4525,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.058129316838458178207105220281,55
561,561_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1372.000000000000000000000000000000,4100,2,1772,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.643623610539361790117141026712,22
562,562_0,FAILED,Sobol,SOBOL,,,3438,2,3047,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.329690051052719368396282106914,47
563,563_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,514.000000000000000000000000000000,2460,3,646,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.991703129827976259669242153905,80
564,564_0,COMPLETED,Sobol,SOBOL,0.020000000000000000416333634234,1609.000000000000000000000000000000,2156,0,2811,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.081928972987458104082492127418,62
565,565_0,COMPLETED,Sobol,SOBOL,0.089999999999999996669330926125,518.000000000000000000000000000000,3199,3,996,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.744421686546877015011602907180,14
566,566_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1623.000000000000000000000000000000,3796,1,4772,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.305898035064339657296272889653,39
567,567_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,2385.000000000000000000000000000000,308,4,1433,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.890897473145276341810472331417,88
568,568_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1456.000000000000000000000000000000,1217,2,459,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.402962520726025119621738213027,37
569,569_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,2428.000000000000000000000000000000,4759,4,3329,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.801811501260846881677935016342,88
570,570_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1376.000000000000000000000000000000,2858,1,2126,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.242405817722901706368077157094,64
571,571_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,546.000000000000000000000000000000,1868,3,4098,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.592048988828435485132217763748,12
572,572_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1705.000000000000000000000000000000,1740,2,3441,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.128539072236046186814562020118,15
573,573_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,3601.000000000000000000000000000000,2908,4,259,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.542026236170902842026464441005,60
574,574_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,2793.000000000000000000000000000000,4787,1,3976,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.477592672966420661584407980627,86
575,575_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1270.000000000000000000000000000000,1112,2,2317,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.812612888943403999242320878693,40
576,576_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1425.000000000000000000000000000000,178,0,796,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.326253735452890381019130927598,91
577,577_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,688.000000000000000000000000000000,3848,3,2924,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.972174290005117680557589210366,36
578,578_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1584.000000000000000000000000000000,3225,1,1623,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.038419637573882940706493371863,11
579,579_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,2089.000000000000000000000000000000,2051,4,4649,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.640006462933495612332990276627,66
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,526.000000000000000000000000000000,3782,3,591,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,570.000000000000000000000000000000,827,3,514,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,588.000000000000000000000000000000,5000,3,656,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,568.000000000000000000000000000000,4971,3,1243,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,588.000000000000000000000000000000,4660,3,621,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,998.000000000000000000000000000000,598,3,790,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.573240707603265398084602111339,57
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1162.000000000000000000000000000000,3359,3,803,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,986.000000000000000000000000000000,3170,3,840,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,706.000000000000000000000000000000,1,3,258,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1522.000000000000000000000000000000,1659,3,934,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1246.000000000000000000000000000000,2310,3,691,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,740.000000000000000000000000000000,5000,3,3680,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
592,127_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,587.000000000000000000000000000000,2337,3,4689,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,6
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,722.000000000000000000000000000000,2271,3,4541,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,51
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,742.000000000000000000000000000000,5000,3,1404,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,579.000000000000000000000000000000,1,3,3217,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,736.000000000000000000000000000000,5000,3,69,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,777.000000000000000000000000000000,3781,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,64
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,532.000000000000000000000000000000,4704,3,1966,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,10
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,539.000000000000000000000000000000,4608,3,902,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,608.000000000000000000000000000000,335,3,550,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,7
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,670.000000000000000000000000000000,1,3,3965,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,891.000000000000000000000000000000,1,3,312,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,572.000000000000000000000000000000,5000,3,2763,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,6
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,608.000000000000000000000000000000,5000,3,4280,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,627.000000000000000000000000000000,931,3,2200,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,743.000000000000000000000000000000,1766,3,3101,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,752.000000000000000000000000000000,4610,3,3156,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,50
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,771.000000000000000000000000000000,5000,3,3810,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,50
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,875.000000000000000000000000000000,4285,3,1965,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,51
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,779.000000000000000000000000000000,5000,3,2631,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,794.000000000000000000000000000000,2738,3,271,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,664.000000000000000000000000000000,2687,3,2765,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,6
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,693.000000000000000000000000000000,1813,3,1697,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,5
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,633.000000000000000000000000000000,1,3,308,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,625.000000000000000000000000000000,5000,3,4526,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,511.000000000000000000000000000000,5000,3,726,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,810.000000000000000000000000000000,1,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,625.000000000000000000000000000000,1,3,4209,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.789785033114604240189748907142,1
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,812.000000000000000000000000000000,1,3,1305,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,4
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1082.000000000000000000000000000000,4315,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,75
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,909.000000000000000000000000000000,922,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,71
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,557.000000000000000000000000000000,1883,3,410,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,5
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,586.000000000000000000000000000000,4860,3,812,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,7
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,602.000000000000000000000000000000,4163,3,682,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,7
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,951.000000000000000000000000000000,1323,3,4423,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1250.000000000000000000000000000000,1,3,823,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,716.000000000000000000000000000000,5000,3,4588,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,644.000000000000000000000000000000,797,3,3775,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1117.000000000000000000000000000000,985,3,2410,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,619.000000000000000000000000000000,1,3,2874,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,8
632,632_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,631.000000000000000000000000000000,5000,3,3545,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,9
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,561.000000000000000000000000000000,2134,3,4680,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,559.000000000000000000000000000000,3002,3,3330,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,5
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,807.000000000000000000000000000000,989,3,1473,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,575.000000000000000000000000000000,425,3,690,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,77
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1058.000000000000000000000000000000,1,3,3364,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,71
638,638_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,662.000000000000000000000000000000,5000,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,563.000000000000000000000000000000,2658,3,2989,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,2430.000000000000000000000000000000,278,3,721,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,76
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,599.000000000000000000000000000000,3118,3,1598,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,625.000000000000000000000000000000,2279,3,2713,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,763.000000000000000000000000000000,184,3,378,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
644,644_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,710.000000000000000000000000000000,3762,3,3138,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,3
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,577.000000000000000000000000000000,3097,3,3912,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,606.000000000000000000000000000000,828,3,2626,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,774.000000000000000000000000000000,1748,3,665,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,979.000000000000000000000000000000,3016,3,703,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,614.000000000000000000000000000000,3416,3,1017,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,79
650,650_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,632.000000000000000000000000000000,3919,3,609,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,607.000000000000000000000000000000,4626,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,620.000000000000000000000000000000,242,3,907,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,5
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,610.000000000000000000000000000000,5000,3,3220,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,616.000000000000000000000000000000,1,3,415,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,600.000000000000000000000000000000,47,3,1591,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,47
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,660.000000000000000000000000000000,5000,3,730,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,35
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,736.000000000000000000000000000000,5000,3,4947,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,47
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,607.000000000000000000000000000000,1,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,572.000000000000000000000000000000,4212,3,4253,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,535.000000000000000000000000000000,464,3,676,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,49
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,586.000000000000000000000000000000,2461,3,2394,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1112.000000000000000000000000000000,16,3,813,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38
663,663_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,823.000000000000000000000000000000,2350,3,815,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
664,664_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,858.000000000000000000000000000000,4663,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,6
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,617.000000000000000000000000000000,5,3,2150,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,8
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,632.000000000000000000000000000000,1,3,1036,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,722.000000000000000000000000000000,1,3,1715,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,41
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,745.000000000000000000000000000000,5000,3,1134,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,45
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,596.000000000000000000000000000000,2733,3,487,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,629.000000000000000000000000000000,4995,3,1500,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,4
671,671_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,762.000000000000000000000000000000,2343,3,884,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,47
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,525.000000000000000000000000000000,4187,3,3229,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,578.000000000000000000000000000000,2814,3,4100,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,543.000000000000000000000000000000,1,3,2300,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,5
675,675_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,639.000000000000000000000000000000,1996,3,2996,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,563.000000000000000000000000000000,1603,3,4734,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,612.000000000000000000000000000000,4965,3,558,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,6
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,645.000000000000000000000000000000,3742,3,1308,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,7
679,109_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
680,680_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,694.000000000000000000000000000000,1,3,4753,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,807.000000000000000000000000000000,3811,3,2359,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,6
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,668.000000000000000000000000000000,1379,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,35
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,522.000000000000000000000000000000,388,3,798,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,607.000000000000000000000000000000,1466,3,4863,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.645093633234016361477358714183,1
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,630.000000000000000000000000000000,19,3,2718,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,3
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,618.000000000000000000000000000000,1851,3,3163,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1019.000000000000000000000000000000,3999,3,2851,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67
688,688_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,683.000000000000000000000000000000,5000,3,357,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,616.000000000000000000000000000000,7,3,4355,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,7
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,556.000000000000000000000000000000,3707,3,663,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,618.000000000000000000000000000000,3272,3,895,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,5
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,626.000000000000000000000000000000,1,3,610,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,888.000000000000000000000000000000,5000,3,1540,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,602.000000000000000000000000000000,505,3,4116,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,33
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,536.000000000000000000000000000000,4650,3,3640,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,4
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,632.000000000000000000000000000000,5000,3,764,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.210692338598514744552048227888,1
698,698_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,599.000000000000000000000000000000,2728,3,4455,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,635.000000000000000000000000000000,1958,3,2604,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,591.000000000000000000000000000000,3368,3,3766,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
701,701_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,761.000000000000000000000000000000,3946,3,2027,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
702,702_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,881.000000000000000000000000000000,3505,3,3892,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,553.000000000000000000000000000000,5000,3,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31
704,704_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,585.000000000000000000000000000000,2325,3,608,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,738.000000000000000000000000000000,600,3,361,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.488172382416580619146628805538,29
706,706_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,605.000000000000000000000000000000,1379,3,4649,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,612.000000000000000000000000000000,1038,3,3238,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
708,708_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,641.000000000000000000000000000000,5000,3,3005,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
709,709_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,574.000000000000000000000000000000,1,3,934,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,45
710,710_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,718.000000000000000000000000000000,2814,3,753,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.174405652474579286881350981275,37
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,500.000000000000000000000000000000,2427,3,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28
712,712_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,725.000000000000000000000000000000,3209,3,3664,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,636.000000000000000000000000000000,509,3,805,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18
714,714_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,820.000000000000000000000000000000,3231,3,2404,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,615.000000000000000000000000000000,113,3,601,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.270853925095433434311331666322,22
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,611.000000000000000000000000000000,5000,3,2749,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,595.000000000000000000000000000000,1155,3,4563,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29
718,718_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,517.000000000000000000000000000000,4248,3,4655,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,514.000000000000000000000000000000,1,3,888,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,80
720,720_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,576.000000000000000000000000000000,1757,3,1741,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,44
721,721_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,590.000000000000000000000000000000,4088,3,1577,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,494.000000000000000000000000000000,5000,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
723,723_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1049.000000000000000000000000000000,1969,3,2074,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,59
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,712.000000000000000000000000000000,5000,3,777,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,666.000000000000000000000000000000,30,3,2817,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,526.000000000000000000000000000000,4762,3,748,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.571795542709905624256805367622,22
727,727_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,855.000000000000000000000000000000,3264,3,3533,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,68
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,583.000000000000000000000000000000,1,3,1205,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,575.000000000000000000000000000000,1,3,354,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,27
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,561.000000000000000000000000000000,212,3,340,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,553.000000000000000000000000000000,624,3,1439,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,664.000000000000000000000000000000,2375,3,530,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,590.000000000000000000000000000000,4849,3,1222,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,35
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,663.000000000000000000000000000000,3292,3,1373,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,35
735,735_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,493.000000000000000000000000000000,2428,3,565,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29
736,736_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,611.000000000000000000000000000000,4175,3,471,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32
737,737_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,518.000000000000000000000000000000,2369,3,668,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
738,738_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,526.000000000000000000000000000000,1,3,4432,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22
739,739_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,575.000000000000000000000000000000,2859,3,1130,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,605.000000000000000000000000000000,3753,3,838,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,89
741,741_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1290.000000000000000000000000000000,5000,3,2008,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,69
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,605.000000000000000000000000000000,2107,3,763,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,60
743,743_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,749.000000000000000000000000000000,2569,3,864,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,66
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,811.000000000000000000000000000000,1,3,3541,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31
745,745_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,758.000000000000000000000000000000,1,3,3075,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55
746,746_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,868.000000000000000000000000000000,3420,3,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57
747,747_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,569.000000000000000000000000000000,4881,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56
748,748_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,578.000000000000000000000000000000,1,3,1443,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1652.000000000000000000000000000000,1,3,1257,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,69
750,750_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,666.000000000000000000000000000000,4682,3,1867,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,56
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,529.000000000000000000000000000000,5000,3,1631,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22
752,752_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,599.000000000000000000000000000000,1,3,1481,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47
753,753_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,612.000000000000000000000000000000,1940,3,1003,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55
754,754_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.040000000000000000832667268469,1494.000000000000000000000000000000,3875,4,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,36
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,732.000000000000000000000000000000,5000,3,664,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,25
756,756_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.040000000000000000832667268469,1307.000000000000000000000000000000,2170,4,3818,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,559.000000000000000000000000000000,1,3,870,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,83
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,538.000000000000000000000000000000,4190,3,3232,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26
759,759_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,638.000000000000000000000000000000,2433,3,373,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.739315335699960329840507711197,1
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,997.000000000000000000000000000000,1674,3,575,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,53
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,959.000000000000000000000000000000,131,3,591,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,628.000000000000000000000000000000,725,3,893,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26
763,763_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,594.000000000000000000000000000000,31,3,892,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20
764,764_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,531.000000000000000000000000000000,3262,3,4789,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18
765,765_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,550.000000000000000000000000000000,497,3,662,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13
766,766_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,624.000000000000000000000000000000,2811,3,1782,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74
767,767_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,582.000000000000000000000000000000,1134,3,4535,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29
768,768_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,535.000000000000000000000000000000,2628,3,700,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,39
769,769_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
770,770_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.029999999999999998889776975375,1424.000000000000000000000000000000,1,0,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
771,771_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,793.000000000000000000000000000000,2525,3,554,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30
772,772_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,781.000000000000000000000000000000,4851,3,860,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71
773,773_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.029999999999999998889776975375,1387.000000000000000000000000000000,1,1,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100
774,109_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
775,775_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,519.000000000000000000000000000000,42,3,2106,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.354069378731964479189997518915,4
776,776_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,641.000000000000000000000000000000,4313,3,1273,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,66
777,777_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,543.000000000000000000000000000000,3847,3,4007,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23
778,778_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,597.000000000000000000000000000000,1330,3,4852,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.759556625995227441272561463848,7
779,779_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,648.000000000000000000000000000000,620,3,957,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,69
780,780_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,629.000000000000000000000000000000,1765,3,955,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,91
781,781_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,715.000000000000000000000000000000,3540,3,3593,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,3
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,672.000000000000000000000000000000,4665,3,1025,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34
783,783_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,558.000000000000000000000000000000,4539,3,4862,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,7
784,784_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,657.000000000000000000000000000000,2526,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
785,785_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,737.000000000000000000000000000000,5000,3,1020,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
786,786_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,664.000000000000000000000000000000,4437,3,4235,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5
787,787_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,619.000000000000000000000000000000,1,3,2294,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32
788,788_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,581.000000000000000000000000000000,1,3,889,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,47
789,789_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,554.000000000000000000000000000000,1,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,8
790,790_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,540.000000000000000000000000000000,2265,3,3906,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
791,791_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,577.000000000000000000000000000000,1366,3,4254,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,7
792,792_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,708.000000000000000000000000000000,4040,3,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,57
793,793_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,551.000000000000000000000000000000,331,3,1814,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32
794,794_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,514.000000000000000000000000000000,897,3,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16
795,795_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,614.000000000000000000000000000000,5000,3,4162,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
796,796_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,637.000000000000000000000000000000,2350,3,1674,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
797,797_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,759.000000000000000000000000000000,2413,3,4519,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,56
798,798_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,710.000000000000000000000000000000,116,3,4983,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,12
799,799_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,625.000000000000000000000000000000,2352,3,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83
800,800_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1071.000000000000000000000000000000,4740,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,74
801,801_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,778.000000000000000000000000000000,1,3,617,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
802,802_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,532.000000000000000000000000000000,3016,3,2044,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
803,803_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,617.000000000000000000000000000000,2497,3,2539,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,4
804,804_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,870.000000000000000000000000000000,3549,3,1644,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46
805,805_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,576.000000000000000000000000000000,4664,3,483,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37
806,806_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,690.000000000000000000000000000000,2346,3,448,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24
807,807_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,620.000000000000000000000000000000,1,3,3475,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
808,808_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,613.000000000000000000000000000000,2541,3,4415,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
809,809_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,623.000000000000000000000000000000,3090,3,2555,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
810,810_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,688.000000000000000000000000000000,2165,3,4012,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,628.000000000000000000000000000000,2664,3,3012,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,4
812,812_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,841.000000000000000000000000000000,5000,3,2078,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
813,813_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,749.000000000000000000000000000000,1,3,260,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,28
814,814_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,783.000000000000000000000000000000,226,3,1931,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55
815,815_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,756.000000000000000000000000000000,1922,3,1658,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.631020902505066927368204687809,1
816,816_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,654.000000000000000000000000000000,4353,3,1429,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,41
817,817_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,689.000000000000000000000000000000,1942,3,829,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
818,818_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,548.000000000000000000000000000000,3906,3,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,9
819,819_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,609.000000000000000000000000000000,247,3,1700,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22
820,820_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3299.000000000000000000000000000000,5000,3,1971,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,628.000000000000000000000000000000,3885,3,1469,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.576177754184369561585299379658,59
822,822_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,641.000000000000000000000000000000,361,3,3066,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,552.000000000000000000000000000000,5000,3,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
824,824_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,901.000000000000000000000000000000,4975,3,3457,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,66
825,825_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,817.000000000000000000000000000000,1,3,4738,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,71
826,826_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,705.000000000000000000000000000000,5000,3,3437,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
827,827_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,735.000000000000000000000000000000,2333,3,4704,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100
828,828_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,610.000000000000000000000000000000,1584,3,4805,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43
829,829_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,623.000000000000000000000000000000,4579,3,1995,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5
830,830_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,531.000000000000000000000000000000,3869,3,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89
831,831_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,578.000000000000000000000000000000,2750,3,2562,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
832,832_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,726.000000000000000000000000000000,4629,3,736,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39
833,833_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,589.000000000000000000000000000000,4281,3,3967,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,37
834,834_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3151,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.327512097190816531266932543076,1
835,835_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,636.000000000000000000000000000000,2427,3,3385,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,42
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,826.000000000000000000000000000000,1,3,870,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,63
837,837_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,737.000000000000000000000000000000,3406,3,2863,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5
838,838_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,557.000000000000000000000000000000,1757,3,4699,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19
839,839_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.059999999999999997779553950750,471.000000000000000000000000000000,5000,3,4945,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
840,840_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,589.000000000000000000000000000000,4845,3,3492,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,7
841,841_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,620.000000000000000000000000000000,1,3,1494,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,8
842,842_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,512.000000000000000000000000000000,364,3,4795,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45
843,843_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,551.000000000000000000000000000000,348,3,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,68
844,844_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,517.000000000000000000000000000000,31,3,4531,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64
845,845_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,653.000000000000000000000000000000,3313,3,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,38
846,846_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,928.000000000000000000000000000000,1938,3,4379,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76
847,847_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,835.000000000000000000000000000000,794,3,2899,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,64
848,848_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,507.000000000000000000000000000000,5000,3,4545,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.712785919384833044354365938489,80
849,849_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,557.000000000000000000000000000000,4063,3,4814,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,79
850,850_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1067.000000000000000000000000000000,3335,3,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,87
851,851_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,638.000000000000000000000000000000,5000,3,1987,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27
852,852_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,637.000000000000000000000000000000,552,3,1636,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34
853,853_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,562.000000000000000000000000000000,4994,3,732,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16
854,854_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,737.000000000000000000000000000000,240,3,4703,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,8
855,855_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,808.000000000000000000000000000000,1,3,1823,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55
856,856_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,535.000000000000000000000000000000,4763,3,4942,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31
857,857_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,793.000000000000000000000000000000,4412,3,1600,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,58
858,858_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1
859,859_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,670.000000000000000000000000000000,1911,3,3685,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
860,860_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,934.000000000000000000000000000000,5000,3,4594,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,68
861,861_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,672.000000000000000000000000000000,4196,3,4350,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,7
862,862_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,554.000000000000000000000000000000,77,3,376,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17
863,863_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,674.000000000000000000000000000000,2113,3,1000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,36
864,864_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,756.000000000000000000000000000000,5000,3,1091,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
865,865_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,518.000000000000000000000000000000,750,3,3064,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5
866,866_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,686.000000000000000000000000000000,765,3,987,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,6
867,867_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100
868,868_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1426.000000000000000000000000000000,4207,3,3227,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,81
869,869_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,617.000000000000000000000000000000,2261,3,1844,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,4
870,870_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1525.000000000000000000000000000000,1,3,2554,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,79
871,871_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,551.000000000000000000000000000000,5000,3,1609,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
872,872_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,606.000000000000000000000000000000,199,3,869,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100
873,873_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,622.000000000000000000000000000000,2850,3,612,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
874,874_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,637.000000000000000000000000000000,1970,3,2155,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
875,875_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,588.000000000000000000000000000000,1,3,1139,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1
876,876_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,594.000000000000000000000000000000,2704,3,993,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1
877,877_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,703.000000000000000000000000000000,4525,3,2365,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,49
878,878_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,969.000000000000000000000000000000,5000,3,475,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,43
879,879_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,712.000000000000000000000000000000,2467,3,4065,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55
880,880_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,643.000000000000000000000000000000,5000,3,425,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1
881,881_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,681.000000000000000000000000000000,3888,3,3051,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,3
882,882_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1568,3,1736,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34

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start_time,end_time,run_time,program_string,recent_samples_size,feature_id,batch_size,divergence,detect_batch,statistic,significance,subsets,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
1745406735,1745407304,569,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1943 feature_id 3 batch_size 1904 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.345608473489061 subsets 16,1943,3,1904,str\(\'KL\'\),3,str\(\'tstat\'\),0.345608473489061,16,0.06,543,0,None,i7177,543,518.58984375,492.45607182017545,-1,0.1708001116420169,4622740
1745406812,1745407393,581,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4634 feature_id 3 batch_size 4572 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4188404930662364 subsets 1,4634,3,4572,str\(\'KL\'\),3,str\(\'stdev\'\),0.4188404930662364,1,0.08,552,0,None,i7177,552,526.33203125,497.2341729525862,-1,0.21851895772528038,4622930
1745407200,1745407809,609,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 898 feature_id 3 batch_size 3624 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5544787183310836 subsets 4,898,3,3624,str\(\'KL\'\),2,str\(\'stdev\'\),0.5544787183310836,4,0.07,538,0,None,i7179,538,558.05859375,513.3146623883929,-1,0.45663253228532924,4623208
1745406740,1745407936,1196,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3695 feature_id 3 batch_size 2238 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.09833660178631544 subsets 76,3695,3,2238,str\(\'H\'\),2,str\(\'stdev\'\),0.09833660178631544,76,0.08,1170,0,None,i7175,1170,526.03515625,497.9664193802521,-1,0.23512187511695132,4622797
1745406573,1745408065,1492,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3114 feature_id 2 batch_size 2545 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4426748849917203 subsets 10,3114,2,2545,str\(\'H\'\),1,str\(\'stdev\'\),0.4426748849917203,10,0.03,1477,0,None,i7177,1477,530.5234375,497.6832552083333,-1,0.2765552215413181,4622597
1745406664,1745408070,1406,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4971 feature_id 2 batch_size 1348 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5070173109322786 subsets 34,4971,2,1348,str\(\'KL\'\),1,str\(\'stdev\'\),0.5070173109322786,34,0.03,1365,0,None,i7178,1365,519.421875,493.86566996402877,-1,0.22792826955324708,4622617
1745406679,1745408086,1407,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1005 feature_id 4 batch_size 4882 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.17149813484027981 subsets 92,1005,4,4882,str\(\'H\'\),3,str\(\'tstat\'\),0.17149813484027981,92,0.04,1380,0,None,i7178,1380,524.4296875,492.8215401785714,-1,0.21792647949344465,4622640
1745406669,1745408187,1518,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 52 feature_id 1 batch_size 3278 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.6593918898776173 subsets 42,52,1,3278,str\(\'H\'\),3,str\(\'tstat\'\),0.6593918898776173,42,0.03,1502,0,None,i7177,1502,524.97265625,492.48008326480266,-1,0.20101334518890993,4622666
1745406706,1745408213,1507,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3411 feature_id 0 batch_size 4305 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.9447475884314627 subsets 59,3411,0,4305,str\(\'H\'\),2,str\(\'stdev\'\),0.9447475884314627,59,0.03,1487,0,None,i7177,1487,509.97265625,485.2672030215232,-1,0.10870217057150702,4622716
1745406740,1745408247,1507,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2203 feature_id 2 batch_size 4054 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6969807421378791 subsets 49,2203,2,4054,str\(\'KL\'\),1,str\(\'tstat\'\),0.6969807421378791,49,0.03,1480,0,None,i7175,1480,543.96875,501.6053645833333,-1,0.33361078508776476,4622771
1745406771,1745408256,1485,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4313 feature_id 0 batch_size 3520 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.9071511554960161 subsets 51,4313,0,3520,str\(\'KL\'\),3,str\(\'stdev\'\),0.9071511554960161,51,0.03,1455,0,None,i7174,1455,482.9453125,471.84142736486484,-1,0.12062387867632968,4622831
1745406845,1745408332,1487,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2751 feature_id 1 batch_size 874 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6078339240886271 subsets 27,2751,1,874,str\(\'H\'\),3,str\(\'stdev\'\),0.6078339240886271,27,0.03,1472,0,None,i7177,1472,522.96484375,495.34067708333333,-1,0.16551515170644102,4622966
1745407188,1745408695,1507,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1487 feature_id 1 batch_size 2485 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4902259945683181 subsets 29,1487,1,2485,str\(\'H\'\),3,str\(\'stdev\'\),0.4902259945683181,29,0.03,1363,0,None,i7181,1363,500.72265625,471.8992524730216,-1,0.20056560478996557,4623051
1745406656,1745408700,2044,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1612 feature_id 1 batch_size 1237 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.8556635377407074 subsets 67,1612,1,1237,str\(\'KL\'\),2,str\(\'tstat\'\),0.8556635377407074,67,0.03,1995,0,None,i7178,1995,522.37109375,492.7944964418317,-1,0.24562821855683303,4622583
1745406752,1745408829,2077,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 335 feature_id 2 batch_size 181 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.2583026683237404 subsets 25,335,2,181,str\(\'H\'\),1,str\(\'tstat\'\),0.2583026683237404,25,0.03,2039,0,None,i7173,2039,503.90234375,455.67705172936894,-1,0.3139625115485911,4622866
1745406890,1745409313,2423,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1275 feature_id 4 batch_size 2845 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.19534010744094848 subsets 100,1275,4,2845,str\(\'KL\'\),2,str\(\'tstat\'\),0.19534010744094848,100,0.04,2408,0,None,i7177,2408,521.31640625,494.98159400720164,-1,0.20524816676684088,4623002
1745406776,1745409416,2640,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 642 feature_id 0 batch_size 1702 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7548393039423973 subsets 75,642,0,1702,str\(\'H\'\),1,str\(\'tstat\'\),0.7548393039423973,75,0.02,2621,0,None,i7173,2621,466.484375,440.8183445785985,-1,0.21257704133324737,4622899
1745407047,1745409583,2536,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2538 feature_id 4 batch_size 3792 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.839389411918819 subsets 97,2538,4,3792,str\(\'KL\'\),1,str\(\'tstat\'\),0.839389411918819,97,0.04,2503,0,None,i7175,2503,511.2421875,490.2975080286561,-1,0.337639095988237,4623114
1745407069,1745411913,4844,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4378 feature_id 0 batch_size 90 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.15513476320542396 subsets 71,4378,0,90,str\(\'H\'\),2,str\(\'tstat\'\),0.15513476320542396,71,0.02,4822,0,None,i7177,4822,510.95703125,491.33915773502065,-1,0.08720792604212367,4623163
1745414772,1745415339,567,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1868 feature_id 3 batch_size 4098 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5920489888284355 subsets 12,1868,3,4098,str\(\'H\'\),1,str\(\'stdev\'\),0.5920489888284355,12,0.08,546,0,None,i7177,546,552.08984375,504.1320586622807,-1,0.30582923731278205,4630538
1745414676,1745415374,698,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3199 feature_id 3 batch_size 996 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.744421686546877 subsets 14,3199,3,996,str\(\'KL\'\),3,str\(\'tstat\'\),0.744421686546877,14,0.09,518,0,None,i7176,518,485.19140625,460.1804832175926,-1,0.23757024406586158,4630314
1745414676,1745415375,699,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2460 feature_id 3 batch_size 646 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.9917031298279763 subsets 80,2460,3,646,str\(\'H\'\),3,str\(\'stdev\'\),0.9917031298279763,80,0.08,514,0,None,i7176,514,473.44921875,454.38563368055554,-1,0.162533822886884,4630259
1745414987,1745415697,710,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3848 feature_id 3 batch_size 2924 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9721742900051177 subsets 36,3848,3,2924,str\(\'H\'\),1,str\(\'tstat\'\),0.9721742900051177,36,0.08,688,0,None,i7182,688,560.8203125,512.484980193662,-1,0.37616731513123575,4630868
1745414543,1745415922,1379,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 548 feature_id 0 batch_size 4525 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.05812931683845818 subsets 55,548,0,4525,str\(\'KL\'\),3,str\(\'stdev\'\),0.05812931683845818,55,0.03,1355,0,None,i7177,1355,518.05078125,494.3154721467391,-1,0.15302305930689064,4630200
1745414545,1745415943,1398,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4100 feature_id 2 batch_size 1772 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6436236105393618 subsets 22,4100,2,1772,str\(\'H\'\),2,str\(\'tstat\'\),0.6436236105393618,22,0.03,1372,0,None,i7177,1372,521.65234375,492.98507254464283,-1,0.20054621623291158,4630209
1745414623,1745416096,1473,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1217 feature_id 2 batch_size 459 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.4029625207260251 subsets 37,1217,2,459,str\(\'KL\'\),2,str\(\'stdev\'\),0.4029625207260251,37,0.03,1456,0,None,i7177,1456,525.5,495.28647592905406,-1,0.1999248806138327,4630410
1745414711,1745416109,1398,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2858 feature_id 1 batch_size 2126 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.2424058177229017 subsets 64,2858,1,2126,str\(\'KL\'\),3,str\(\'tstat\'\),0.2424058177229017,64,0.03,1376,0,None,i7177,1376,535.8828125,498.38390066964286,-1,0.1524184068648117,4630488
1745414851,1745416138,1287,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1112 feature_id 2 batch_size 2317 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.812612888943404 subsets 40,1112,2,2317,str\(\'KL\'\),3,str\(\'stdev\'\),0.812612888943404,40,0.03,1270,0,None,i7177,1270,520.35546875,494.9572129360465,-1,0.15670913963052624,4630751
1745414559,1745416209,1650,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3796 feature_id 1 batch_size 4772 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.30589803506433966 subsets 39,3796,1,4772,str\(\'H\'\),2,str\(\'tstat\'\),0.30589803506433966,39,0.03,1623,0,None,i7182,1623,520.0859375,493.96115056818184,-1,0.19149942533218686,4630343
1745414676,1745416469,1793,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2156 feature_id 0 batch_size 2811 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.0819289729874581 subsets 62,2156,0,2811,str\(\'H\'\),1,str\(\'stdev\'\),0.0819289729874581,62,0.02,1609,0,None,i7176,1609,468.8203125,449.3397478911043,-1,0.14866018307306825,4630289
1745414822,1745416546,1724,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1740 feature_id 2 batch_size 3441 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.1285390722360462 subsets 15,1740,2,3441,str\(\'H\'\),3,str\(\'stdev\'\),0.1285390722360462,15,0.03,1705,0,None,i7185,1705,521.1875,497.2902140534682,-1,0.22186957092221446,4630585
1745415115,1745416617,1502,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 178 feature_id 0 batch_size 796 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.3262537354528904 subsets 91,178,0,796,str\(\'KL\'\),3,str\(\'stdev\'\),0.3262537354528904,91,0.03,1425,0,None,i7176,1425,514.875,480.6024515086207,-1,0.05132466679862909,4630812
1745415054,1745416658,1604,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3225 feature_id 1 batch_size 1623 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.03841963757388294 subsets 11,3225,1,1623,str\(\'KL\'\),2,str\(\'tstat\'\),0.03841963757388294,11,0.03,1584,0,None,i7174,1584,516.3515625,492.3822544642857,-1,0.1339203707452826,4630938
1745414575,1745416976,2401,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 308 feature_id 4 batch_size 1433 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8908974731452763 subsets 88,308,4,1433,str\(\'KL\'\),1,str\(\'stdev\'\),0.8908974731452763,88,0.04,2385,0,None,i7175,2385,512.58203125,485.13158065352695,-1,0.15636465457031126,4630373
1745414680,1745417131,2451,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4759 feature_id 4 batch_size 3329 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.8018115012608469 subsets 88,4759,4,3329,str\(\'H\'\),2,str\(\'tstat\'\),0.8018115012608469,88,0.04,2428,0,None,i7182,2428,522.953125,493.36431760204084,-1,0.22515525499785147,4630450
1745415143,1745417261,2118,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2051 feature_id 4 batch_size 4649 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6400064629334956 subsets 66,2051,4,4649,str\(\'H\'\),2,str\(\'stdev\'\),0.6400064629334956,66,0.04,2089,0,None,i7173,2089,525.94140625,495.0524289099526,-1,0.2221991763921322,4631011
1745414848,1745417680,2832,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4787 feature_id 1 batch_size 3976 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.47759267296642066 subsets 86,4787,1,3976,str\(\'H\'\),1,str\(\'tstat\'\),0.47759267296642066,86,0.03,2793,0,None,i7173,2793,541.2578125,495.0110677083333,-1,0.2949049126545505,4630701
1745414847,1745418483,3636,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2908 feature_id 4 batch_size 259 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5420262361709028 subsets 60,2908,4,259,str\(\'KL\'\),2,str\(\'tstat\'\),0.5420262361709028,60,0.04,3601,0,None,i7174,3601,509.015625,483.78853375345307,-1,0.25715449027708953,4630640
1745419213,1745419756,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3782 feature_id 3 batch_size 591 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 36,3782,3,591,str\(\'H\'\),3,str\(\'stdev\'\),0.999,36,0.08,526,0,None,i7180,526,529.93359375,496.8432528409091,-1,0.17587675731343136,4635598
1745419615,1745420215,600,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 827 feature_id 3 batch_size 514 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 33,827,3,514,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,33,0.08,570,0,None,i7183,570,516.453125,489.00662076271186,-1,0.15018105756011693,4635905
1745419957,1745420565,608,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 656 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 37,5000,3,656,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,37,0.09,588,0,None,i7180,588,533.09765625,502.40087090163934,-1,0.2564483860829839,4636193
1745420642,1745421252,610,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4971 feature_id 3 batch_size 1243 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 57,4971,3,1243,str\(\'H\'\),3,str\(\'stdev\'\),0.001,57,0.08,568,0,None,i7183,568,522.66015625,498.0209878177966,-1,0.250186783947898,4637090
1745421432,1745422039,607,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4660 feature_id 3 batch_size 621 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 33,4660,3,621,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,33,0.07,588,0,None,i7185,588,516.97265625,492.7967469262295,-1,0.16044391679513464,4637366
1745422017,1745423049,1032,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 598 feature_id 3 batch_size 790 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5732407076032654 subsets 57,598,3,790,str\(\'H\'\),2,str\(\'stdev\'\),0.5732407076032654,57,0.08,998,0,None,i7183,998,523.03125,498.2666590073529,-1,0.21621848288599121,4637593
1745422716,1745423456,740,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 258 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 27,1,3,258,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,27,0.09,706,0,None,i7178,706,526.92578125,496.57994434931504,-1,0.26421778670152396,4638919
1745422465,1745423587,1122,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3170 feature_id 3 batch_size 840 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 58,3170,3,840,str\(\'H\'\),2,str\(\'stdev\'\),0.999,58,0.08,986,0,None,i7186,986,530.48046875,496.8565129950495,-1,0.173847722272898,4638033
1745422407,1745423726,1319,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3359 feature_id 3 batch_size 803 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 57,3359,3,803,str\(\'H\'\),2,str\(\'stdev\'\),0.001,57,0.08,1162,0,None,i7178,1162,514.19921875,486.151687237395,-1,0.2523628113047011,4637864
1745424586,1745424625,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,None,None,1,None,i7174,,,,,,4641798
1745423936,1745424754,818,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 3680 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,3,3680,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,0.08,740,0,None,i7172,740,506.01171875,462.12510279605266,-1,0.49854788725599164,4641577
1745423532,1745424817,1285,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2310 feature_id 3 batch_size 691 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 53,2310,3,691,str\(\'H\'\),2,str\(\'stdev\'\),0.001,53,0.09,1246,0,None,i7176,1246,513.87890625,487.16501599409446,-1,0.2582912007964639,4640709
1745423337,1745424978,1641,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1659 feature_id 3 batch_size 934 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 57,1659,3,934,str\(\'H\'\),2,str\(\'stdev\'\),0.001,57,0.09,1522,0,None,i7186,1522,527.19921875,496.6706149193548,-1,0.24847112209695812,4639801
1745424590,1745425195,605,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2337 feature_id 3 batch_size 4689 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 6,2337,3,4689,str\(\'H\'\),1,str\(\'stdev\'\),0.001,6,0.09,587,0,None,i7178,587,559.14453125,517.0866419057377,-1,0.5488048307266244,4641966
1745424877,1745425613,736,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2271 feature_id 3 batch_size 4541 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 51,2271,3,4541,str\(\'H\'\),1,str\(\'stdev\'\),0.001,51,0.09,722,0,None,i7178,722,556.51171875,511.2802604166667,-1,0.38812780035016636,4642181
1745425469,1745426230,761,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1404 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1404,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,0.09,742,0,None,i7185,742,561.22265625,516.4859983766233,-1,0.4994834978580153,4642673
1745425868,1745426462,594,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 3217 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,3,3217,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,0.1,579,0,None,i7178,579,663.28515625,564.6360677083334,-1,0.998517000833708,4643009
1745426198,1745426951,753,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 69 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,3,69,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,0.1,736,0,None,i7182,736,670.578125,573.0508326480264,-1,0.9990964030619491,4643272
1745426495,1745427287,792,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3781 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 64,3781,3,5000,str\(\'H\'\),1,str\(\'stdev\'\),0.001,64,0.09,777,0,None,i7183,777,554.80859375,511.35732421875,-1,0.40039669889525803,4643514
1745427005,1745427552,547,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4704 feature_id 3 batch_size 1966 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 10,4704,3,1966,str\(\'H\'\),1,str\(\'stdev\'\),0.001,10,0.09,532,0,None,i7174,532,559.859375,512.5122767857143,-1,0.36432135766792634,4643934
1745428203,1745428758,555,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4608 feature_id 3 batch_size 902 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,4608,3,902,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,100,0.07,539,0,None,i7176,539,510.34375,488.6284877232143,-1,0.12160593163594782,4644852
1745428644,1745429264,620,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 335 feature_id 3 batch_size 550 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 7,335,3,550,str\(\'H\'\),2,str\(\'tstat\'\),0.001,7,0.07,608,0,None,i7185,608,512.6640625,490.7443576388889,-1,0.1406121283089616,4645187
1745429064,1745429751,687,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 3965 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,3,3965,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,0.09,670,0,None,i7185,670,564.9375,519.5631793478261,-1,0.4996841468786903,4645509
1745429791,1745430376,585,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 2763 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 6,5000,3,2763,str\(\'H\'\),1,str\(\'stdev\'\),0.001,6,0.09,572,0,None,i7183,572,554.67578125,511.6694010416667,-1,0.4750047682323453,4646181
1745429523,1745430427,904,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 312 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,3,312,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,0.1,891,0,None,i7185,891,655.87109375,565.3665865384615,-1,0.9990504116010304,4645914
1745430369,1745430998,629,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 4280 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,4280,str\(\'H\'\),3,str\(\'stdev\'\),0.999,1,0.08,608,0,None,i7182,608,527.2265625,497.2475818452381,-1,0.1891241016447358,4646674
1745430782,1745431424,642,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 931 feature_id 3 batch_size 2200 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,931,3,2200,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,0.09,627,0,None,i7186,627,567.15234375,520.01796875,-1,0.4990528915327466,4647107
1745431264,1745432016,752,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1766 feature_id 3 batch_size 3101 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 48,1766,3,3101,str\(\'H\'\),1,str\(\'stdev\'\),0.001,48,0.09,743,0,None,i7178,743,567.171875,520.6600040584416,-1,0.398992606647209,4647551
1745431865,1745432630,765,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4610 feature_id 3 batch_size 3156 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 50,4610,3,3156,str\(\'H\'\),2,str\(\'stdev\'\),0.001,50,0.08,752,0,None,i7175,752,525.07421875,496.9074519230769,-1,0.2390690246158022,4648138
1745432313,1745433099,786,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 3810 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 50,5000,3,3810,str\(\'H\'\),1,str\(\'stdev\'\),0.001,50,0.08,771,0,None,i7174,771,565.7890625,516.844189453125,-1,0.37704025109534073,4648509
1745432649,1745433540,891,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4285 feature_id 3 batch_size 1965 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 51,4285,3,1965,str\(\'H\'\),1,str\(\'stdev\'\),0.001,51,0.08,875,0,None,i7174,875,559.19140625,511.76067708333335,-1,0.36059154036675034,4648789
1745433215,1745434012,797,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 2631 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,2631,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.09,779,0,None,i7185,779,566.65234375,519.7966796875,-1,0.49853481125239707,4649211
1745433572,1745434384,812,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2738 feature_id 3 batch_size 271 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2738,3,271,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,0.1,794,0,None,i7174,794,663.8125,565.8974371189024,-1,0.9990039692434359,4649471
1745434007,1745434688,681,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2687 feature_id 3 batch_size 2765 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 6,2687,3,2765,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,6,0.09,664,0,None,i7174,664,572.6484375,519.9886775362319,-1,0.4765959826007991,4649781
1745434360,1745435112,752,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1813 feature_id 3 batch_size 1697 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 5,1813,3,1697,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,5,0.08,693,0,None,i7172,693,538.1015625,495.17236328125,-1,0.36102485207207313,4650047
1745434991,1745435638,647,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 308 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,3,308,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.1,633,0,None,i7176,633,633.6953125,557.4196259469697,-1,0.9990071255201657,4650498
1745435636,1745436280,644,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 4526 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 41,5000,3,4526,str\(\'H\'\),2,str\(\'stdev\'\),0.001,41,0.08,625,0,None,i7173,625,531.10546875,502.60823317307694,-1,0.24285024413800504,4650992
1745436153,1745436681,528,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 726 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,726,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,1,0.08,511,0,None,i7173,511,518.6171875,493.9663178066038,-1,0.24747734582377245,4651353
1745436581,1745437408,827,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 53,1,3,5000,str\(\'H\'\),1,str\(\'stdev\'\),0.001,53,0.09,810,0,None,i7185,810,560.03125,515.1388365963855,-1,0.40039669889525803,4651666
1745437190,1745437832,642,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 4209 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7897850331146042 subsets 1,1,3,4209,str\(\'KL\'\),1,str\(\'stdev\'\),0.7897850331146042,1,0.09,625,0,None,i7183,625,652.48046875,565.2996394230769,-1,0.9973541383071445,4652118
1745438290,1745439120,830,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1305 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 4,1,3,1305,str\(\'H\'\),1,str\(\'stdev\'\),0.001,4,0.09,812,0,None,i7185,812,601.37109375,528.2865978422619,-1,0.6481260959607323,4653001
1745438738,1745439835,1097,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4315 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 75,4315,3,5000,str\(\'H\'\),1,str\(\'stdev\'\),0.001,75,0.09,1082,0,None,i7180,1082,564.42578125,514.0484234234234,-1,0.40039669889525803,4653400
1745439412,1745439981,569,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1883 feature_id 3 batch_size 410 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 5,1883,3,410,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,5,0.09,557,0,None,i7178,557,565.50390625,519.0992052801724,-1,0.4045133855441624,4653970
1745439109,1745440035,926,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 922 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 71,922,3,5000,str\(\'H\'\),1,str\(\'stdev\'\),0.001,71,0.09,909,0,None,i7180,909,562.30859375,513.1828377016129,-1,0.40039669889525803,4653712
1745439819,1745440423,604,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4860 feature_id 3 batch_size 812 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 7,4860,3,812,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,7,0.07,586,0,None,i7178,586,523.4765625,497.34810450819674,-1,0.20796076116769613,4654323
1745440179,1745440794,615,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4163 feature_id 3 batch_size 682 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 7,4163,3,682,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,7,0.07,602,0,None,i7176,602,517.27734375,490.84437003968253,-1,0.15867595092981657,4654650
1745440508,1745441478,970,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1323 feature_id 3 batch_size 4423 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 63,1323,3,4423,str\(\'H\'\),1,str\(\'stdev\'\),0.001,63,0.09,951,0,None,i7176,951,554.140625,508.0473533163265,-1,0.35408690492347605,4654945
1745441313,1745442042,729,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 4588 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 46,5000,3,4588,str\(\'H\'\),1,str\(\'stdev\'\),0.001,46,0.08,716,0,None,i7175,716,562.0859375,514.4248838682432,-1,0.3631923123920384,4655566
1745440929,1745442198,1269,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 823 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 53,1,3,823,str\(\'H\'\),1,str\(\'stdev\'\),0.001,53,0.09,1250,0,None,i7176,1250,563.85546875,513.5545029527559,-1,0.3696036122234482,4655279
1745441698,1745442355,657,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 797 feature_id 3 batch_size 3775 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 40,797,3,3775,str\(\'H\'\),1,str\(\'stdev\'\),0.001,40,0.08,644,0,None,i7175,644,564.80859375,514.0766674440298,-1,0.3718662117419807,4655847
1745442596,1745443233,637,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 2874 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 8,1,3,2874,str\(\'H\'\),1,str\(\'stdev\'\),0.001,8,0.09,619,0,None,i7175,619,564.79296875,514.7803955078125,-1,0.39174940244918055,4656448
1745442131,1745443261,1130,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 985 feature_id 3 batch_size 2410 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 62,985,3,2410,str\(\'H\'\),1,str\(\'stdev\'\),0.001,62,0.09,1117,0,None,i7186,1117,565.4453125,516.4038856907895,-1,0.37834334248803886,4656138
1745443108,1745443763,655,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 3545 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 9,5000,3,3545,str\(\'H\'\),1,str\(\'stdev\'\),0.001,9,0.07,631,0,None,i7182,631,565.0546875,518.2649739583334,-1,0.39391055021568644,4656790
1745443487,1745444064,577,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2134 feature_id 3 batch_size 4680 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2134,3,4680,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,0.09,561,0,None,i7174,561,653.46484375,564.5689883474577,-1,0.9972215746844963,4657041
1745444030,1745444621,591,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3002 feature_id 3 batch_size 3330 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 5,3002,3,3330,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,5,0.09,559,0,None,i7178,559,602.62109375,528.0691002155172,-1,0.6207138325631266,4657396
1745444506,1745445331,825,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 989 feature_id 3 batch_size 1473 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,989,3,1473,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,0.09,807,0,None,i7186,807,586.53515625,527.0761483433735,-1,0.4994564440574749,4657714
1745445056,1745445650,594,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 425 feature_id 3 batch_size 690 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 77,425,3,690,str\(\'H\'\),3,str\(\'stdev\'\),0.001,77,0.09,575,0,None,i7183,575,523.5546875,498.14173177083336,-1,0.2628953067517719,4658109
1745445668,1745446738,1070,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 3364 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 71,1,3,3364,str\(\'H\'\),1,str\(\'stdev\'\),0.001,71,0.08,1058,0,None,i7183,1058,560.171875,507.3445457175926,-1,0.3570673319496817,4658578
1745446172,1745446860,688,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,5000,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,0.09,662,0,None,i7182,662,563.97265625,518.8157835144928,-1,0.4995939675435555,4658917
1745446608,1745447187,579,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2658 feature_id 3 batch_size 2989 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2658,3,2989,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.09,563,0,None,i7180,563,566.12890625,519.0895789194915,-1,0.49910654823715184,4659284
1745448046,1745448659,613,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3118 feature_id 3 batch_size 1598 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,3118,3,1598,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,0.1,599,0,None,i7176,599,656.42578125,563.0406376008065,-1,0.9984777728229243,4660414
1745448397,1745449037,640,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2279 feature_id 3 batch_size 2713 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,2279,3,2713,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.1,625,0,None,i7178,625,655.9609375,565.6646634615385,-1,0.9985206080071134,4660702
1745448774,1745449551,777,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 184 feature_id 3 batch_size 378 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 27,184,3,378,str\(\'H\'\),2,str\(\'stdev\'\),0.001,27,0.09,763,0,None,i7176,763,531.078125,500.35398536392404,-1,0.25702192665444135,4661007
1745449233,1745449956,723,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3762 feature_id 3 batch_size 3138 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 3,3762,3,3138,str\(\'H\'\),1,str\(\'stdev\'\),0.001,3,0.09,710,0,None,i7185,710,659.23046875,562.1864297945206,-1,0.918792606917747,4661330
1745447679,1745450120,2441,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 278 feature_id 3 batch_size 721 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 76,278,3,721,str\(\'H\'\),2,str\(\'stdev\'\),0.001,76,0.09,2430,0,None,i7178,2430,524.7421875,495.38585778061224,-1,0.26105249203829195,4660113
1745449912,1745450500,588,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3097 feature_id 3 batch_size 3912 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,3097,3,3912,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,0.09,577,0,None,i7175,577,653.5234375,563.2014973958334,-1,0.9974704696494684,4661805
1745450442,1745451065,623,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 828 feature_id 3 batch_size 2626 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,828,3,2626,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,0.1,606,0,None,i7175,606,669.3359375,568.3031374007936,-1,0.998440799295519,4662149
1745451032,1745451821,789,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1748 feature_id 3 batch_size 665 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 40,1748,3,665,str\(\'H\'\),2,str\(\'stdev\'\),0.001,40,0.08,774,0,None,i7183,774,534.1796875,503.082568359375,-1,0.2635648883151479,4662519
1745451532,1745452526,994,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3016 feature_id 3 batch_size 703 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 40,3016,3,703,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,40,0.09,979,0,None,i7186,979,531.36328125,500.3590234375,-1,0.24946354568011678,4662842
1745452133,1745452761,628,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3416 feature_id 3 batch_size 1017 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 79,3416,3,1017,str\(\'H\'\),3,str\(\'stdev\'\),0.001,79,0.08,614,0,None,i7185,614,534.41015625,503.5455322265625,-1,0.24305359853873407,4663227
1745452931,1745453575,644,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3919 feature_id 3 batch_size 609 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 30,3919,3,609,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,30,0.08,632,0,None,i7185,632,527.74609375,498.97259706439394,-1,0.25235379337118763,4663776
1745453412,1745454035,623,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4626 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 38,4626,3,5000,str\(\'H\'\),1,str\(\'stdev\'\),0.001,38,0.09,607,0,None,i7183,607,567.80078125,519.6993427579365,-1,0.40039669889525803,4664091
1745453801,1745454438,637,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 242 feature_id 3 batch_size 907 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 5,242,3,907,str\(\'H\'\),2,str\(\'stdev\'\),0.001,5,0.08,620,0,None,i7186,620,555.9140625,506.99462890625,-1,0.33044233414780305,4664364
1745454552,1745455175,623,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 3220 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,3220,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,0.09,610,0,None,i7182,610,568.12890625,524.2466517857143,-1,0.49854788725599164,4664917
1745455172,1745455803,631,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 415 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,3,415,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,0.1,616,0,None,i7180,616,656.32421875,565.9514770507812,-1,0.9990792689882735,4665348
1745455692,1745456304,612,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 47 feature_id 3 batch_size 1591 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 47,47,3,1591,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,47,0.08,600,0,None,i7180,600,537.16015625,502.59160786290323,-1,0.17288776325038788,4665724
1745456442,1745457116,674,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 730 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 35,5000,3,730,str\(\'H\'\),1,str\(\'tstat\'\),0.001,35,0.08,660,0,None,i7178,660,519.90234375,494.18543198529414,-1,0.16852714149994386,4666274
1745457113,1745457864,751,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 4947 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 47,5000,3,4947,str\(\'H\'\),1,str\(\'tstat\'\),0.001,47,0.07,736,0,None,i7185,736,546.2890625,510.8316714638158,-1,0.20208197031025749,4666784
1745457552,1745458170,618,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 5000 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,3,5000,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,0.09,607,0,None,i7176,607,662.27734375,568.9633556547619,-1,0.997834794163413,4667092
1745458063,1745458646,583,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4212 feature_id 3 batch_size 4253 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,4212,3,4253,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,0.09,572,0,None,i7174,572,659.12109375,564.5201171875,-1,0.9982013731607361,4667445
1745459272,1745459817,545,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 464 feature_id 3 batch_size 676 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 49,464,3,676,str\(\'H\'\),3,str\(\'stdev\'\),0.001,49,0.08,535,0,None,i7183,535,532.61328125,502.96902901785717,-1,0.25999964830059297,4668190
1745459753,1745460354,601,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2461 feature_id 3 batch_size 2394 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2461,3,2394,str\(\'H\'\),2,str\(\'stdev\'\),0.001,1,0.09,586,0,None,i7186,586,572.078125,521.9384605532787,-1,0.4988824525893418,4668485
1745460139,1745461267,1128,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 16 feature_id 3 batch_size 813 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 38,16,3,813,str\(\'H\'\),1,str\(\'stdev\'\),0.001,38,0.09,1112,0,None,i7186,1112,562.7734375,514.1501850328947,-1,0.3819753152105935,4668713
1745460704,1745461541,837,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2350 feature_id 3 batch_size 815 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2350,3,815,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.09,823,0,None,i7186,823,567.1953125,523.8246323529412,-1,0.49960749444382574,4669057
1745461215,1745462092,877,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4663 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 6,4663,3,5000,str\(\'H\'\),1,str\(\'tstat\'\),0.999,6,0.09,858,0,None,i7186,858,615.28125,524.2444957386364,-1,0.5785008857865194,4669399
1745461614,1745462244,630,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5 feature_id 3 batch_size 2150 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 8,5,3,2150,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,8,0.08,617,0,None,i7186,617,533.15234375,502.20904541015625,-1,0.2549595252599081,4669678
1745462134,1745462778,644,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1036 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,3,1036,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,0.1,632,0,None,i7183,632,662.15625,565.303740530303,-1,0.9987546233817882,4670060
1745462714,1745463446,732,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1715 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 41,1,3,1715,str\(\'H\'\),1,str\(\'stdev\'\),0.001,41,0.08,722,0,None,i7182,722,564.4375,515.4420833333334,-1,0.3756898155516969,4670479
1745463254,1745464015,761,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1134 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 45,5000,3,1134,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,45,0.09,745,0,None,i7182,745,554.828125,510.4925426136364,-1,0.37747311190398786,4670824
1745463754,1745464361,607,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2733 feature_id 3 batch_size 487 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 5,2733,3,487,str\(\'H\'\),1,str\(\'tstat\'\),0.999,5,0.09,596,0,None,i7180,596,557.03125,512.8428679435484,-1,0.4101649244770613,4671192
1745464365,1745465007,642,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4995 feature_id 3 batch_size 1500 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 4,4995,3,1500,str\(\'H\'\),2,str\(\'stdev\'\),0.001,4,0.09,629,0,None,i7180,629,569.59765625,516.7069110576923,-1,0.4245196710438213,4671615
1745464964,1745465738,774,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2343 feature_id 3 batch_size 884 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 47,2343,3,884,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,47,0.09,762,0,None,i7178,762,531.14453125,499.723397943038,-1,0.24951900597122467,4672045
1745465504,1745466042,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4187 feature_id 3 batch_size 3229 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,4187,3,3229,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,0.09,525,0,None,i7175,525,568.25390625,520.8389204545455,-1,0.498487917998127,4672429
1745466014,1745466608,594,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2814 feature_id 3 batch_size 4100 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2814,3,4100,str\(\'H\'\),2,str\(\'stdev\'\),0.001,1,0.08,578,0,None,i7176,578,560.43359375,517.1977213541667,-1,0.49824127751653324,4672795
1745466555,1745467111,556,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 2300 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 5,1,3,2300,str\(\'H\'\),1,str\(\'stdev\'\),0.001,5,0.09,543,0,None,i7175,543,571.4375,525.9060444078947,-1,0.5425193310677279,4673149
1745467035,1745467685,650,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1996 feature_id 3 batch_size 2996 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1996,3,2996,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,0.1,639,0,None,i7175,639,658.03515625,567.3354640151515,-1,0.9987546233817882,4673447
1745467495,1745468073,578,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1603 feature_id 3 batch_size 4734 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 30,1603,3,4734,str\(\'H\'\),1,str\(\'stdev\'\),0.001,30,0.09,563,0,None,i7175,563,563.10546875,515.4125397245763,-1,0.385451277683365,4673739
1745468055,1745468683,628,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4965 feature_id 3 batch_size 558 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 6,4965,3,558,str\(\'H\'\),1,str\(\'stdev\'\),0.001,6,0.09,612,0,None,i7186,612,562.578125,514.423828125,-1,0.38580838785049887,4674052
1745469106,1745469120,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7186,,,,,,4674666
1745468616,1745469277,661,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3742 feature_id 3 batch_size 1308 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 7,3742,3,1308,str\(\'H\'\),1,str\(\'stdev\'\),0.999,7,0.08,645,0,None,i7185,645,531.25,498.5126515858209,-1,0.22765232078773454,4674390
1745469836,1745470542,706,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 4753 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 44,1,3,4753,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,44,0.09,694,0,None,i7185,694,556.59765625,511.2263997395833,-1,0.36985701615517697,4675147
1745470276,1745471103,827,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3811 feature_id 3 batch_size 2359 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 6,3811,3,2359,str\(\'H\'\),1,str\(\'tstat\'\),0.001,6,0.08,807,0,None,i7186,807,552.92578125,506.5566170933735,-1,0.3052719290216489,4675455
1745470696,1745471379,683,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1379 feature_id 3 batch_size 5000 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 35,1379,3,5000,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,35,0.09,668,0,None,i7185,668,556.3515625,511.723731884058,-1,0.39137876538177646,4675716
1745471276,1745471812,536,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 388 feature_id 3 batch_size 798 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 55,388,3,798,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,55,0.08,522,0,None,i7182,522,531.71875,501.60085227272725,-1,0.25438959186185606,4676078
1745471836,1745472457,621,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1466 feature_id 3 batch_size 4863 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6450936332340164 subsets 1,1466,3,4863,str\(\'KL\'\),2,str\(\'tstat\'\),0.6450936332340164,1,0.09,607,0,None,i7183,607,567.71875,519.6308903769841,-1,0.49903665925242235,4676432
1745472397,1745473040,643,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 19 feature_id 3 batch_size 2718 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 3,19,3,2718,str\(\'H\'\),1,str\(\'tstat\'\),0.999,3,0.1,630,0,None,i7182,630,649.9453125,560.2962740384615,-1,0.9231536795648667,4676774
1745472886,1745473519,633,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1851 feature_id 3 batch_size 3163 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 5,1851,3,3163,str\(\'H\'\),1,str\(\'tstat\'\),0.999,5,0.09,618,0,None,i7180,618,608.9375,533.251708984375,-1,0.6095063447925717,4677080
1745474087,1745474107,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,1,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,None,None,1,None,i7178,,,,,,4677861
1745473538,1745474570,1032,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3999 feature_id 3 batch_size 2851 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 67,3999,3,2851,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,67,0.09,1019,0,None,i7180,1019,555.03125,508.66312349759613,-1,0.3821795714046739,4677498
1745474498,1745475195,697,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 357 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,357,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,0.1,683,0,None,i7176,683,651.703125,564.4344740316901,-1,0.9990450008409223,4678137
1745474958,1745475585,627,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 7 feature_id 3 batch_size 4355 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 7,7,3,4355,str\(\'H\'\),1,str\(\'stdev\'\),0.001,7,0.08,616,0,None,i7176,616,564.58984375,517.1768798828125,-1,0.47430317300499636,4678433
1745475587,1745476157,570,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3707 feature_id 3 batch_size 663 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 26,3707,3,663,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,26,0.09,556,0,None,i7181,556,542.3984375,495.6751751077586,-1,0.3727792775102207,4678784
1745476248,1745476883,635,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3272 feature_id 3 batch_size 895 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 5,3272,3,895,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,5,0.08,618,0,None,i7186,618,549.875,504.65618896484375,-1,0.3159816268622596,4679116
1745476848,1745477491,643,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 610 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 86,1,3,610,str\(\'H\'\),3,str\(\'stdev\'\),0.001,86,0.09,626,0,None,i7186,626,531.75,501.6408653846154,-1,0.2524931204439709,4679430
1745477239,1745478143,904,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1540 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,1540,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,0.1,888,0,None,i7186,888,657.65625,566.560053228022,-1,0.9990071255201657,4679636
1745477748,1745478365,617,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 505 feature_id 3 batch_size 4116 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 33,505,3,4116,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,33,0.09,602,0,None,i7183,602,566.9375,518.0473090277778,-1,0.38141214526267664,4679940
1745478318,1745478869,551,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4650 feature_id 3 batch_size 3640 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 4,4650,3,3640,str\(\'H\'\),1,str\(\'stdev\'\),0.999,4,0.09,536,0,None,i7181,536,643.1015625,545.7803431919643,-1,0.7655688985901814,4680315
1745478999,1745479643,644,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 764 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.21069233859851474 subsets 1,5000,3,764,str\(\'H\'\),2,str\(\'stdev\'\),0.21069233859851474,1,0.09,632,0,None,i7183,632,562.4453125,516.4749644886364,-1,0.4992909649775025,4680715
1745479488,1745480098,610,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2728 feature_id 3 batch_size 4455 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,2728,3,4455,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,0.09,599,0,None,i7183,599,559.68359375,515.1685987903226,-1,0.49927608538720525,4681000
1745479878,1745480525,647,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1958 feature_id 3 batch_size 2604 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1958,3,2604,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.1,635,0,None,i7183,635,663.48828125,567.3662997159091,-1,0.9982874944257899,4681241
1745481169,1745481771,602,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3368 feature_id 3 batch_size 3766 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,3368,3,3766,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,0.1,591,0,None,i7181,591,638.6875,560.6164314516129,-1,0.997567863331414,4682494
1745481951,1745482729,778,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3946 feature_id 3 batch_size 2027 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3946,3,2027,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,0.1,761,0,None,i7185,761,655.94921875,565.8096321202531,-1,0.9989791699262739,4682755
1745482551,1745483443,892,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3505 feature_id 3 batch_size 3892 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 67,3505,3,3892,str\(\'H\'\),1,str\(\'stdev\'\),0.001,67,0.08,881,0,None,i7178,881,567.04296875,515.6816840277778,-1,0.3869293169862247,4682962
1745483243,1745483806,563,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 31,5000,3,5000,str\(\'H\'\),1,str\(\'stdev\'\),0.001,31,0.09,553,0,None,i7181,553,558.16015625,512.8122979525862,-1,0.40039669889525803,4683191
1745483905,1745484502,597,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2325 feature_id 3 batch_size 608 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,2325,3,608,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,0.1,585,0,None,i7176,585,647.48828125,554.7131787909836,-1,0.9989061246648147,4683410
1745484776,1745485533,757,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 600 feature_id 3 batch_size 361 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.4881723824165806 subsets 29,600,3,361,str\(\'KL\'\),2,str\(\'stdev\'\),0.4881723824165806,29,0.09,738,0,None,i7185,738,526.359375,497.8008326480263,-1,0.2130707731931105,4683699
1745485437,1745486058,621,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1379 feature_id 3 batch_size 4649 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1379,3,4649,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.09,605,0,None,i7183,605,661.54296875,565.6827876984127,-1,0.9989949513099224,4683928
1745485888,1745486513,625,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1038 feature_id 3 batch_size 3238 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1038,3,3238,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,0.1,612,0,None,i7186,612,663.00390625,566.8485107421875,-1,0.9977410076548728,4684071
1745486370,1745487024,654,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 3005 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,3005,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,0.1,641,0,None,i7183,641,658.28515625,568.2293610074627,-1,0.9990477062209764,4684244
1745487422,1745488009,587,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 934 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 45,1,3,934,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,45,0.09,574,0,None,i7182,574,534.67578125,502.91673177083334,-1,0.2577361469887091,4684599
1745488444,1745489177,733,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2814 feature_id 3 batch_size 753 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.1744056524745793 subsets 37,2814,3,753,str\(\'KL\'\),1,str\(\'stdev\'\),0.1744056524745793,37,0.09,718,0,None,i7182,718,553.3671875,507.39331714527026,-1,0.33069754166623455,4684939
1745489256,1745489769,513,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2427 feature_id 3 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 28,2427,3,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,28,0.08,500,0,None,i7181,500,533.93359375,501.6767578125,-1,0.2322117879721508,4685213
1745490099,1745490839,740,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3209 feature_id 3 batch_size 3664 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 25,3209,3,3664,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,25,0.09,725,0,None,i7185,725,561.7890625,512.4163020833333,-1,0.38238247490872723,4685493
1745490736,1745491390,654,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 509 feature_id 3 batch_size 805 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 18,509,3,805,str\(\'H\'\),2,str\(\'stdev\'\),0.001,18,0.08,636,0,None,i7186,636,533.84765625,501.9025213068182,-1,0.2548062203901789,4685705
1745491503,1745492350,847,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3231 feature_id 3 batch_size 2404 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 30,3231,3,2404,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,30,0.09,820,0,None,i7186,820,566.01953125,516.4375465029761,-1,0.38498685410742073,4685947
1745492093,1745492728,635,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 113 feature_id 3 batch_size 601 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.27085392509543343 subsets 22,113,3,601,str\(\'KL\'\),2,str\(\'stdev\'\),0.27085392509543343,22,0.08,615,0,None,i7186,615,532.21875,500.84271240234375,-1,0.22708869994314193,4686153
1745492991,1745493624,633,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 2749 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 24,5000,3,2749,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,24,0.08,611,0,None,i7186,611,556.5859375,510.457763671875,-1,0.36475557116660046,4686456
1745494102,1745494712,610,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1155 feature_id 3 batch_size 4563 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 29,1155,3,4563,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,29,0.08,595,0,None,i7185,595,528.859375,500.14862651209677,-1,0.2695248405742079,4686825
1745495103,1745495637,534,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4248 feature_id 3 batch_size 4655 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 24,4248,3,4655,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,24,0.08,517,0,None,i7176,517,559.30859375,514.9917534722222,-1,0.3978942223452669,4687158
1745495900,1745496425,525,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 888 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 80,1,3,888,str\(\'H\'\),3,str\(\'stdev\'\),0.001,80,0.08,514,0,None,i7180,514,526.16015625,499.2486255787037,-1,0.2506480512471126,4687433
1745498396,1745498988,592,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1757 feature_id 3 batch_size 1741 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 44,1757,3,1741,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,44,0.08,576,0,None,i7175,576,531.64453125,501.6333984375,-1,0.25030221349687054,4688272
1745498962,1745499564,602,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4088 feature_id 3 batch_size 1577 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 27,4088,3,1577,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,27,0.09,590,0,None,i7181,590,564.18359375,515.405481557377,-1,0.36600771123494735,4688512
1745499127,1745499638,511,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 24,5000,3,5000,str\(\'H\'\),2,str\(\'stdev\'\),0.001,24,0.08,494,0,None,i7175,494,503.42578125,483.9251051682692,-1,0.2457386882423732,4688744
1745499660,1745500728,1068,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1969 feature_id 3 batch_size 2074 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 59,1969,3,2074,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,59,0.08,1049,0,None,i7186,1049,531.48046875,498.55669538551405,-1,0.24033604427444638,4689035
1745500737,1745501465,728,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 777 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 54,5000,3,777,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,54,0.09,712,0,None,i7185,712,541.9921875,508.798828125,-1,0.25154894280510937,4689477
1745501923,1745502608,685,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 30 feature_id 3 batch_size 2817 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 20,30,3,2817,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,20,0.09,666,0,None,i7185,666,564.19921875,516.8730185688406,-1,0.400474253123474,4689971
1745502965,1745503503,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4762 feature_id 3 batch_size 748 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5717955427099056 subsets 22,4762,3,748,str\(\'KL\'\),1,str\(\'stdev\'\),0.5717955427099056,22,0.08,526,0,None,i7181,526,532.49609375,502.24545454545455,-1,0.2532903057665627,4690524
1745503705,1745504573,868,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3264 feature_id 3 batch_size 3533 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 68,3264,3,3533,str\(\'H\'\),2,str\(\'stdev\'\),0.001,68,0.08,855,0,None,i7181,855,532.31640625,502.4591175426136,-1,0.2755921062420783,4690923
1745504824,1745505420,596,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1205 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 54,1,3,1205,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,54,0.08,583,0,None,i7180,583,533.73046875,499.73181352459017,-1,0.2387074054819116,4691541
1745505765,1745506353,588,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 354 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 27,1,3,354,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,27,0.09,575,0,None,i7176,575,527.0859375,498.09270833333335,-1,0.25985716495107997,4692030
1745506745,1745507318,573,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 212 feature_id 3 batch_size 340 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 20,212,3,340,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,20,0.09,561,0,None,i7176,561,558.921875,511.8537473516949,-1,0.3843537951747743,4692564
1745507691,1745508262,571,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 624 feature_id 3 batch_size 1439 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 31,624,3,1439,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,31,0.09,553,0,None,i7176,553,554.0234375,509.2540409482759,-1,0.35686217396225,4693092
1745508686,1745509365,679,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2375 feature_id 3 batch_size 530 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 21,2375,3,530,str\(\'H\'\),1,str\(\'tstat\'\),0.999,21,0.09,664,0,None,i7186,664,559.265625,509.280174365942,-1,0.3797862118501959,4693692
1745509625,1745510231,606,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4849 feature_id 3 batch_size 1222 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 35,4849,3,1222,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,35,0.08,590,0,None,i7182,590,532.32421875,501.2741419057377,-1,0.24429176081013507,4694175
1745510578,1745511256,678,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3292 feature_id 3 batch_size 1373 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 35,3292,3,1373,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,35,0.07,663,0,None,i7182,663,524.85546875,497.2719655797101,-1,0.25354100431823745,4694652
1745511686,1745512190,504,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2428 feature_id 3 batch_size 565 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 29,2428,3,565,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,29,0.09,493,0,None,i7175,493,527.62890625,501.7512770432692,-1,0.24609489661615572,4695233
1745512619,1745513246,627,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4175 feature_id 3 batch_size 471 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 32,4175,3,471,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,32,0.08,611,0,None,i7181,611,532.796875,501.4278564453125,-1,0.25123647140886723,4695713
1745513546,1745514078,532,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2369 feature_id 3 batch_size 668 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2369,3,668,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.09,518,0,None,i7180,518,531.29296875,501.572337962963,-1,0.2548143365303411,4696219
1745514717,1745515258,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 4432 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 22,1,3,4432,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,22,0.08,526,0,None,i7183,526,564.56640625,517.4130681818182,-1,0.38678322646330626,4696783
1745515366,1745515952,586,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2859 feature_id 3 batch_size 1130 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 27,2859,3,1130,str\(\'H\'\),1,str\(\'stdev\'\),0.001,27,0.09,575,0,None,i7176,575,551.60546875,508.8177734375,-1,0.3790778531727119,4697131
1745516849,1745517467,618,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3753 feature_id 3 batch_size 838 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 89,3753,3,838,str\(\'H\'\),3,str\(\'stdev\'\),0.001,89,0.08,605,0,None,i7185,605,541.65625,504.0766369047619,-1,0.23615713388429901,4697881
1745517449,1745518753,1304,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 2008 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 69,5000,3,2008,str\(\'H\'\),1,str\(\'stdev\'\),0.001,69,0.08,1290,0,None,i7183,1290,558.11328125,506.09273616412213,-1,0.34858326010019824,4698159
1745518169,1745518793,624,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2107 feature_id 3 batch_size 763 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 60,2107,3,763,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,60,0.07,605,0,None,i7183,605,530.640625,500.9126364087302,-1,0.2607778959628064,4698494
1745519090,1745519853,763,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2569 feature_id 3 batch_size 864 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 66,2569,3,864,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,66,0.08,749,0,None,i7182,749,525.54296875,496.4961444805195,-1,0.2536131477863453,4698906
1745519912,1745520740,828,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 3541 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 31,1,3,3541,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,31,0.08,811,0,None,i7186,811,562.03515625,514.8865792410714,-1,0.3711123125002536,4699297
1745520691,1745521462,771,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 3075 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 55,1,3,3075,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,55,0.09,758,0,None,i7181,758,553.875,513.7197015224359,-1,0.3762286370791274,4699692
1745521313,1745522197,884,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3420 feature_id 3 batch_size 5000 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 57,3420,3,5000,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,57,0.09,868,0,None,i7185,868,567.42578125,519.2030372191011,-1,0.39137876538177646,4700035
1745522071,1745522651,580,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4881 feature_id 3 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 56,4881,3,5000,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,56,0.08,569,0,None,i7180,569,536.1015625,504.3171345338983,-1,0.2322117879721508,4700447
1745522941,1745523534,593,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1443 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 22,1,3,1443,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,22,0.09,578,0,None,i7180,578,553.6640625,509.11484375,-1,0.37997603935065466,4700878
1745523653,1745525321,1668,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1257 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 69,1,3,1257,str\(\'H\'\),1,str\(\'stdev\'\),0.001,69,0.09,1652,0,None,i7180,1652,547.00390625,503.7883607784431,-1,0.36977089489012327,4701257
1745524752,1745525431,679,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4682 feature_id 3 batch_size 1867 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 56,4682,3,1867,str\(\'H\'\),3,str\(\'tstat\'\),0.999,56,0.08,666,0,None,i7185,666,538.9921875,503.4753736413044,-1,0.2533295337773463,4701871
1745525471,1745526015,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1631 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 22,5000,3,1631,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,22,0.08,529,0,None,i7176,529,554.7890625,508.5549715909091,-1,0.359616701753943,4702226
1745526531,1745527142,611,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1481 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 47,1,3,1481,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,47,0.08,599,0,None,i7185,599,522.1796875,493.808341733871,-1,0.2448409529611061,4702740
1745527434,1745528062,628,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1940 feature_id 3 batch_size 1003 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 55,1940,3,1003,str\(\'H\'\),3,str\(\'tstat\'\),0.999,55,0.08,612,0,None,i7186,612,533.375,501.97088623046875,-1,0.2568807959949554,4703157
1745528233,1745529739,1506,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3875 feature_id 4 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 36,3875,4,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.001,36,0.04,1494,0,None,i7182,1494,526.765625,494.1926912006579,-1,0.15105038635081655,4703542
1745529123,1745529873,750,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 664 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 25,5000,3,664,str\(\'H\'\),1,str\(\'tstat\'\),0.999,25,0.09,732,0,None,i7185,732,549.36328125,506.06455592105266,-1,0.37513927071069886,4703982
1745529961,1745531282,1321,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2170 feature_id 4 batch_size 3818 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 37,2170,4,3818,str\(\'H\'\),3,str\(\'tstat\'\),0.001,37,0.04,1307,0,None,i7183,1307,514.734375,491.031719924812,-1,0.1394434041256144,4704400
1745531032,1745531607,575,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 870 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 83,1,3,870,str\(\'H\'\),3,str\(\'tstat\'\),0.999,83,0.08,559,0,None,i7181,559,541.8671875,508.31667564655174,-1,0.2565511905250376,4704892
1745531892,1745532442,550,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4190 feature_id 3 batch_size 3232 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 26,4190,3,3232,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,26,0.09,538,0,None,i7183,538,553.81640625,509.40269252232144,-1,0.3852826423266629,4705300
1745532752,1745533403,651,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2433 feature_id 3 batch_size 373 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7393153356999603 subsets 1,2433,3,373,str\(\'H\'\),1,str\(\'tstat\'\),0.7393153356999603,1,0.1,638,0,None,i7181,638,656.9375,560.4591619318181,-1,0.9989552724024632,4705720
1745534093,1745535102,1009,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1674 feature_id 3 batch_size 575 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 53,1674,3,575,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,53,0.09,997,0,None,i7176,997,528.47265625,498.167662377451,-1,0.25122835526870513,4706407
1745534583,1745535559,976,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 131 feature_id 3 batch_size 591 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 46,131,3,591,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,46,0.09,959,0,None,i7185,959,535.43359375,501.3790258290816,-1,0.24995817933333123,4706649
1745535053,1745535692,639,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 725 feature_id 3 batch_size 893 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 26,725,3,893,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,26,0.09,628,0,None,i7186,628,559.95703125,507.84813701923076,-1,0.3691346796807471,4706875
1745535553,1745536160,607,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 31 feature_id 3 batch_size 892 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 20,31,3,892,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,20,0.09,594,0,None,i7186,594,560.21484375,509.1665826612903,-1,0.3457949150578298,4707123
1745536653,1745537197,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3262 feature_id 3 batch_size 4789 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 18,3262,3,4789,str\(\'H\'\),3,str\(\'tstat\'\),0.999,18,0.08,531,0,None,i7182,531,531.74609375,501.8964146205357,-1,0.2526432690369704,4707636
1745537343,1745537905,562,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 497 feature_id 3 batch_size 662 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 13,497,3,662,str\(\'H\'\),3,str\(\'stdev\'\),0.001,13,0.08,550,0,None,i7181,550,521.38671875,494.5187774122807,-1,0.24924215541236078,4707980
1745538174,1745538813,639,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2811 feature_id 3 batch_size 1782 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 74,2811,3,1782,str\(\'H\'\),3,str\(\'tstat\'\),0.999,74,0.08,624,0,None,i7185,624,534.44921875,503.3655649038462,-1,0.2417550161127927,4708418
1745539074,1745539669,595,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1134 feature_id 3 batch_size 4535 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 29,1134,3,4535,str\(\'H\'\),1,str\(\'stdev\'\),0.001,29,0.07,582,0,None,i7183,582,563.40625,515.2867571721312,-1,0.3957930438366257,4708845
1745539928,1745540477,549,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2628 feature_id 3 batch_size 700 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 39,2628,3,700,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,39,0.08,535,0,None,i7183,535,527.85546875,497.96986607142856,-1,0.2502927446666814,4709243
1745541814,1745543251,1437,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 0 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,0,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,0.03,1424,0,None,i7180,1424,529.2734375,497.51586745689656,-1,0.17584970351289092,4710125
1745542675,1745543486,811,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2525 feature_id 3 batch_size 554 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 30,2525,3,554,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,30,0.09,793,0,None,i7186,793,525.30859375,497.1157107469512,-1,0.2572906610731431,4710540
1745543466,1745544265,799,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4851 feature_id 3 batch_size 860 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 71,4851,3,860,str\(\'H\'\),3,str\(\'tstat\'\),0.999,71,0.09,781,0,None,i7186,781,532.8046875,503.28612075617286,-1,0.2512756994196509,4710937
1745545176,1745545189,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,None,None,1,None,i7185,,,,,,4711731
1745544425,1745545827,1402,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 1 batch_size 5000 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 100,1,1,5000,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,100,0.03,1387,0,None,i7182,1387,529.69921875,498.01271609042556,-1,0.16908625337777972,4711396
1745545895,1745546428,533,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 42 feature_id 3 batch_size 2106 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.3540693787319645 subsets 4,42,3,2106,str\(\'H\'\),2,str\(\'stdev\'\),0.3540693787319645,4,0.07,519,0,None,i7180,519,569.98828125,520.1725983796297,-1,0.4321109674754701,4712091
1745547056,1745547715,659,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4313 feature_id 3 batch_size 1273 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 66,4313,3,1273,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,66,0.08,641,0,None,i7181,641,534.328125,501.73746501865674,-1,0.24763696324696108,4712686
1745547995,1745548552,557,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3847 feature_id 3 batch_size 4007 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 23,3847,3,4007,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,23,0.08,543,0,None,i7182,543,555.80078125,511.57558936403507,-1,0.3694809683276648,4713132
1745548776,1745549386,610,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1330 feature_id 3 batch_size 4852 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7595566259952274 subsets 7,1330,3,4852,str\(\'KL\'\),1,str\(\'stdev\'\),0.7595566259952274,7,0.09,597,0,None,i7183,597,556.6796875,511.55613659274195,-1,0.43227329027871275,4713479
1745549639,1745550304,665,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 620 feature_id 3 batch_size 957 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 69,620,3,957,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,69,0.08,648,0,None,i7185,648,519.9609375,495.59788945895525,-1,0.24337057890173294,4713865
1745551136,1745551780,644,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1765 feature_id 3 batch_size 955 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 91,1765,3,955,str\(\'H\'\),3,str\(\'tstat\'\),0.999,91,0.08,629,0,None,i7181,629,527.59765625,497.73311298076925,-1,0.24759863702952878,4714563
1745551857,1745552586,729,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3540 feature_id 3 batch_size 3593 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 3,3540,3,3593,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,3,0.09,715,0,None,i7185,715,654.640625,558.4839527027027,-1,0.9241596300482955,4714891
1745552797,1745553481,684,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4665 feature_id 3 batch_size 1025 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 34,4665,3,1025,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,34,0.09,672,0,None,i7186,672,559.3125,511.79776785714284,-1,0.3780773134493911,4715325
1745553637,1745554211,574,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4539 feature_id 3 batch_size 4862 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 7,4539,3,4862,str\(\'H\'\),2,str\(\'tstat\'\),0.999,7,0.09,558,0,None,i7186,558,566.4140625,516.0336072198276,-1,0.36391509976314396,4715722
1745554619,1745555290,671,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2526 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2526,3,5000,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,0.09,657,0,None,i7185,657,563.90234375,519.3876378676471,-1,0.4995939675435555,4716205
1745555698,1745556452,754,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1020 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,3,1020,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,0.1,737,0,None,i7185,737,654.4765625,564.836091694079,-1,0.9989530179190848,4716741
1745556547,1745557224,677,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4437 feature_id 3 batch_size 4235 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 5,4437,3,4235,str\(\'H\'\),2,str\(\'tstat\'\),0.999,5,0.09,664,0,None,i7178,664,554.671875,504.9977921195652,-1,0.4306563747997455,4717128
1745557519,1745558152,633,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 2294 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 32,1,3,2294,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,32,0.09,619,0,None,i7182,619,537.08203125,492.2989501953125,-1,0.3766389530539908,4717565
1745558438,1745559038,600,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 889 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 47,1,3,889,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,47,0.09,581,0,None,i7182,581,521.50390625,495.72886782786884,-1,0.2513311597107588,4717975
1745559359,1745559925,566,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 8,1,3,5000,str\(\'H\'\),2,str\(\'tstat\'\),0.999,8,0.09,554,0,None,i7186,554,546.75,502.9596578663793,-1,0.32915457324207786,4718371
1745560261,1745560818,557,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2265 feature_id 3 batch_size 3906 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,2265,3,3906,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,0.09,540,0,None,i7178,540,566.71484375,513.7682756696429,-1,0.49928014345728633,4718796
1745561259,1745561854,595,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1366 feature_id 3 batch_size 4254 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 7,1366,3,4254,str\(\'H\'\),2,str\(\'tstat\'\),0.999,7,0.09,577,0,None,i7182,577,546.3515625,504.88092447916665,-1,0.3471787169554735,4719223
1745562120,1745562847,727,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4040 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 57,4040,3,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,57,0.08,708,0,None,i7185,708,545.84375,508.53451412671234,-1,0.2457386882423732,4719591
1745563118,1745563679,561,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 331 feature_id 3 batch_size 1814 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 32,331,3,1814,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,32,0.09,551,0,None,i7183,551,550.41796875,509.6034482758621,-1,0.38188829215218845,4720047
1745564080,1745564607,527,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 897 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 16,897,3,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,16,0.08,514,0,None,i7181,514,544.921875,504.5818865740741,-1,0.2457386882423732,4720507
1745565040,1745565670,630,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 4162 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,3,4162,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.09,614,0,None,i7182,614,637.25,555.2206420898438,-1,0.997466862476063,4720996
1745566120,1745566771,651,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2350 feature_id 3 batch_size 1674 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,2350,3,1674,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.1,637,0,None,i7186,637,663.02734375,565.0559303977273,-1,0.9984552279891407,4721500
1745567380,1745568153,773,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2413 feature_id 3 batch_size 4519 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 56,2413,3,4519,str\(\'H\'\),2,str\(\'tstat\'\),0.999,56,0.08,759,0,None,i7185,759,528.62109375,498.84915865384613,-1,0.2282114326655704,4722065
1745568361,1745569089,728,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 116 feature_id 3 batch_size 4983 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 12,116,3,4983,str\(\'H\'\),1,str\(\'tstat\'\),0.999,12,0.08,710,0,None,i7176,710,564.20703125,518.250053510274,-1,0.3990322855546683,4722504
1745569520,1745570158,638,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2352 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 83,2352,3,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.001,83,0.08,625,0,None,i7185,625,525.20703125,495.65294471153845,-1,0.1713407367561501,4723013
1745571242,1745572332,1090,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4740 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 74,4740,3,5000,str\(\'H\'\),2,str\(\'tstat\'\),0.001,74,0.08,1071,0,None,i7186,1071,522.9921875,494.45925315366975,-1,0.1713407367561501,4723787
1745572087,1745572883,796,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 617 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3,617,str\(\'H\'\),3,str\(\'stdev\'\),0.001,1,0.08,778,0,None,i7186,778,539.16015625,503.249072265625,-1,0.26345847669968886,4724137
1745572981,1745573524,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3016 feature_id 3 batch_size 2044 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 24,3016,3,2044,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,24,0.09,532,0,None,i7181,532,562.4921875,515.3302176339286,-1,0.36867341238153256,4724526
1745574001,1745574634,633,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2497 feature_id 3 batch_size 2539 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 4,2497,3,2539,str\(\'H\'\),1,str\(\'stdev\'\),0.999,4,0.09,617,0,None,i7181,617,641.0078125,545.7071533203125,-1,0.712325666436559,4724982
1745574662,1745575546,884,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3549 feature_id 3 batch_size 1644 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 46,3549,3,1644,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,46,0.09,870,0,None,i7180,870,562.98046875,513.607970505618,-1,0.37804980875217503,4725311
1745575741,1745576333,592,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4664 feature_id 3 batch_size 483 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 37,4664,3,483,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,37,0.09,576,0,None,i7180,576,533.41796875,500.8483072916667,-1,0.2595974484658917,4725797
1745576582,1745577289,707,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2346 feature_id 3 batch_size 448 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 24,2346,3,448,str\(\'H\'\),1,str\(\'stdev\'\),0.001,24,0.09,690,0,None,i7178,690,555.9453125,509.28669674295776,-1,0.37401383260821636,4726166
1745577301,1745577939,638,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 3475 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3,3475,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.1,620,0,None,i7181,620,658.37109375,561.3285522460938,-1,0.998759132348545,4726472
1745578122,1745578747,625,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2541 feature_id 3 batch_size 4415 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2541,3,4415,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,0.09,613,0,None,i7181,613,658.28125,567.18994140625,-1,0.9984344867420596,4726838
1745578903,1745579536,633,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3090 feature_id 3 batch_size 2555 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3090,3,2555,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,0.1,623,0,None,i7182,623,662.19140625,564.5736778846153,-1,0.99907025105476,4727198
1745579542,1745580241,699,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2165 feature_id 3 batch_size 4012 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,2165,3,4012,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.1,688,0,None,i7176,688,636.22265625,551.0902288732394,-1,0.9976652570133596,4727489
1745580303,1745580942,639,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2664 feature_id 3 batch_size 3012 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 4,2664,3,3012,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,4,0.1,628,0,None,i7186,628,637.0546875,547.5872596153846,-1,0.7637094006997015,4727820
1745581023,1745581881,858,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 2078 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,3,2078,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.1,841,0,None,i7186,841,655.01953125,566.3024874281609,-1,0.9988384901634636,4728140
1745581743,1745582506,763,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 260 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 28,1,3,260,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,28,0.09,749,0,None,i7186,749,530.54296875,499.97387378246754,-1,0.2690865690054527,4728438
1745582402,1745583199,797,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 226 feature_id 3 batch_size 1931 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 55,226,3,1931,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,55,0.08,783,0,None,i7182,783,551.6953125,506.26089891975306,-1,0.3769744201806923,4728729
1745583265,1745584036,771,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1922 feature_id 3 batch_size 1658 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6310209025050669 subsets 1,1922,3,1658,str\(\'KL\'\),1,str\(\'tstat\'\),0.6310209025050669,1,0.1,756,0,None,i7185,756,656.46484375,565.6182892628206,-1,0.99862205975914,4729109
1745584063,1745584729,666,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4353 feature_id 3 batch_size 1429 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 41,4353,3,1429,str\(\'H\'\),3,str\(\'tstat\'\),0.999,41,0.08,654,0,None,i7185,654,530.98046875,500.6556755514706,-1,0.24652189576801908,4729467
1745585059,1745585761,702,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1942 feature_id 3 batch_size 829 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1942,3,829,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,0.09,689,0,None,i7180,689,568.984375,520.3352222711268,-1,0.4996079453405014,4729911
1745586084,1745586648,564,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3906 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 9,3906,3,5000,str\(\'H\'\),2,str\(\'tstat\'\),0.999,9,0.08,548,0,None,i7180,548,545.421875,500.4074150219298,-1,0.28631938905304033,4730359
1745587284,1745587907,623,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 247 feature_id 3 batch_size 1700 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 22,247,3,1700,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,22,0.08,609,0,None,i7176,609,563.58984375,513.2107514880952,-1,0.3654972961980843,4730896
1745589766,1745590411,645,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3885 feature_id 3 batch_size 1469 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5761777541843696 subsets 59,3885,3,1469,str\(\'KL\'\),3,str\(\'tstat\'\),0.5761777541843696,59,0.08,628,0,None,i7185,628,532.3984375,501.52013221153845,-1,0.21238090127932913,4731938
1745590875,1745591533,658,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 361 feature_id 3 batch_size 3066 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 40,361,3,3066,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,40,0.09,641,0,None,i7183,641,558.94921875,514.7237056902985,-1,0.39862647854656164,4732391
1745588964,1745592285,3321,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1971 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,5000,3,1971,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,0.08,3299,0,None,i7176,3299,504.5703125,474.14574312876505,-1,0.36704026462224104,4731592
1745591945,1745592514,569,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,3,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,0.08,552,0,None,i7186,552,544.640625,508.0157596982759,-1,0.2457386882423732,4732815
1745593145,1745594059,914,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4975 feature_id 3 batch_size 3457 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 66,4975,3,3457,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,66,0.08,901,0,None,i7186,901,564.296875,515.0561735733696,-1,0.3809923604576241,4733299
1745593985,1745594814,829,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 4738 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 71,1,3,4738,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,71,0.09,817,0,None,i7181,817,557.67578125,513.8826264880952,-1,0.396459469123272,4733660
1745595306,1745596026,720,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 3437 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,3437,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,0.1,705,0,None,i7181,705,661.5234375,564.4084974315068,-1,0.9986757164635452,4734226
1745596638,1745597387,749,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2333 feature_id 3 batch_size 4704 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,2333,3,4704,str\(\'H\'\),3,str\(\'tstat\'\),0.001,100,0.07,735,0,None,i7186,735,526.20703125,496.8916015625,-1,0.16756041902729862,4734829
1745597847,1745598473,626,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1584 feature_id 3 batch_size 4805 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 43,1584,3,4805,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,43,0.09,610,0,None,i7186,610,556.92578125,509.5062003968254,-1,0.3565808144366294,4735310
1745598969,1745599605,636,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4579 feature_id 3 batch_size 1995 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 5,4579,3,1995,str\(\'H\'\),2,str\(\'tstat\'\),0.999,5,0.09,623,0,None,i7185,623,565.9375,514.5572115384615,-1,0.3796035986965479,4735763
1745600489,1745601035,546,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3869 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 89,3869,3,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,89,0.08,531,0,None,i7181,531,544.11328125,507.24135044642856,-1,0.2457386882423732,4736401
1745601689,1745602278,589,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2750 feature_id 3 batch_size 2562 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,2750,3,2562,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,0.09,578,0,None,i7183,578,566.94921875,519.6445963541667,-1,0.49929908111766463,4736861
1745602908,1745603650,742,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4629 feature_id 3 batch_size 736 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 39,4629,3,736,str\(\'H\'\),2,str\(\'tstat\'\),0.999,39,0.08,726,0,None,i7181,726,533.99609375,503.4644270833333,-1,0.25818704366438316,4737356
1745604149,1745604750,601,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4281 feature_id 3 batch_size 3967 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 37,4281,3,3967,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,37,0.08,589,0,None,i7181,589,561.125,514.3048155737705,-1,0.3836706867111281,4737887
1745605510,1745605524,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3151 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.32751209719081653 subsets 1,3151,3,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.32751209719081653,1,None,None,1,None,i7186,,,,,,4738491
1745606478,1745607125,647,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2427 feature_id 3 batch_size 3385 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 42,2427,3,3385,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,42,0.08,636,0,None,i7183,636,554.3671875,511.280243844697,-1,0.38830139557030086,4738904
1745607260,1745608105,845,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 870 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 63,1,3,870,str\(\'H\'\),3,str\(\'tstat\'\),0.999,63,0.08,826,0,None,i7186,826,543.546875,510.59977022058825,-1,0.2565511905250376,4739212
1745608700,1745609453,753,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3406 feature_id 3 batch_size 2863 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 5,3406,3,2863,str\(\'H\'\),2,str\(\'tstat\'\),0.999,5,0.09,737,0,None,i7185,737,556.390625,512.0504728618421,-1,0.3941193153765235,4739818
1745609900,1745610470,570,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1757 feature_id 3 batch_size 4699 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 19,1757,3,4699,str\(\'H\'\),1,str\(\'stdev\'\),0.001,19,0.08,557,0,None,i7176,557,563.06640625,515.8182920258621,-1,0.3889511376799472,4740866
1745611611,1745612095,484,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 4945 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,4945,str\(\'H\'\),3,str\(\'tstat\'\),0.001,1,0.06,471,0,None,i7181,471,521.640625,495.407109375,-1,0.14938883210095757,4741846
1745613372,1745613977,605,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4845 feature_id 3 batch_size 3492 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 7,4845,3,3492,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,7,0.08,589,0,None,i7181,589,553.6171875,504.87948258196724,-1,0.3180553006736847,4742803
1745614491,1745615128,637,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1494 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 8,1,3,1494,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,8,0.08,620,0,None,i7180,620,553.37890625,507.7489013671875,-1,0.36690589741289015,4743276
1745615951,1745616476,525,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 364 feature_id 3 batch_size 4795 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 45,364,3,4795,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,45,0.08,512,0,None,i7180,512,532.12890625,501.3230613425926,-1,0.2356634020244359,4743897
1745617342,1745617907,565,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 348 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 68,348,3,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,68,0.08,551,0,None,i7176,551,544.16796875,508.9205280172414,-1,0.2457386882423732,4744461
1745618656,1745619189,533,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 31 feature_id 3 batch_size 4531 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 64,31,3,4531,str\(\'H\'\),3,str\(\'tstat\'\),0.999,64,0.08,517,0,None,i7176,517,527.79296875,498.2356047453704,-1,0.24720455333498964,4744990
1745620073,1745620739,666,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3313 feature_id 3 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 38,3313,3,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.999,38,0.08,653,0,None,i7185,653,528.32421875,499.25666360294116,-1,0.2457386882423732,4745561
1745621273,1745622215,942,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1938 feature_id 3 batch_size 4379 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 76,1938,3,4379,str\(\'H\'\),2,str\(\'tstat\'\),0.999,76,0.08,928,0,None,i7183,928,524.984375,496.778125,-1,0.2547074740182063,4746068
1745622683,1745623531,848,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 794 feature_id 3 batch_size 2899 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 64,794,3,2899,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,64,0.08,835,0,None,i7185,835,542.6796875,507.22351925872096,-1,0.24051550115136466,4746635
1745623933,1745624450,517,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 4545 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.712785919384833 subsets 80,5000,3,4545,str\(\'H\'\),3,str\(\'tstat\'\),0.712785919384833,80,0.08,507,0,None,i7180,507,530.5234375,501.8598172169811,-1,0.21927781683043984,4747183
1745625293,1745625868,575,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4063 feature_id 3 batch_size 4814 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 79,4063,3,4814,str\(\'H\'\),3,str\(\'tstat\'\),0.001,79,0.07,557,0,None,i7178,557,525.40234375,494.8438173491379,-1,0.16713747794551634,4747724
1745626824,1745627906,1082,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3335 feature_id 3 batch_size 5000 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 87,3335,3,5000,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,87,0.08,1067,0,None,i7185,1067,544.04296875,509.2162055619266,-1,0.2322117879721508,4748329
1745627964,1745628617,653,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1987 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 27,5000,3,1987,str\(\'H\'\),1,str\(\'stdev\'\),0.001,27,0.08,638,0,None,i7181,638,550.765625,508.7664535984849,-1,0.3592686095203226,4748769
1745629354,1745630006,652,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 552 feature_id 3 batch_size 1636 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 34,552,3,1636,str\(\'H\'\),1,str\(\'tstat\'\),0.999,34,0.08,637,0,None,i7176,637,554.75390625,509.4653172348485,-1,0.36940747216952996,4749344
1745630604,1745631179,575,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4994 feature_id 3 batch_size 732 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 16,4994,3,732,str\(\'H\'\),1,str\(\'stdev\'\),0.001,16,0.09,562,0,None,i7176,562,563.3203125,512.2059057203389,-1,0.3694219008631515,4749835
1745631776,1745632586,810,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 240 feature_id 3 batch_size 4703 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 8,240,3,4703,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,8,0.07,737,0,None,i7178,737,460.30859375,386.2447574013158,-1,0.3223261939856696,4750297
1745633074,1745633896,822,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1823 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 55,1,3,1823,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,55,0.09,808,0,None,i7183,808,563.125,514.991952183735,-1,0.37310166863332767,4750792
1745634174,1745634720,546,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4763 feature_id 3 batch_size 4942 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 31,4763,3,4942,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,31,0.07,535,0,None,i7180,535,530.09765625,499.7320033482143,-1,0.24288811945876165,4751218
1745635525,1745636333,808,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4412 feature_id 3 batch_size 1600 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 58,4412,3,1600,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,58,0.08,793,0,None,i7181,793,539.3203125,505.6960270579268,-1,0.24294357974986958,4751734
1745636655,1745636669,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,3,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,None,None,1,None,i7180,,,,,,4752154
1745637916,1745638602,686,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1911 feature_id 3 batch_size 3685 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1911,3,3685,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,0.08,670,0,None,i7180,670,568.046875,519.8932291666666,-1,0.4992264867528811,4752654
1745640097,1745641046,949,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 4594 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 68,5000,3,4594,str\(\'H\'\),1,str\(\'stdev\'\),0.001,68,0.09,934,0,None,i7186,934,549.0703125,509.4447835286458,-1,0.35331136264131663,4753573
1745641196,1745641882,686,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4196 feature_id 3 batch_size 4350 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 7,4196,3,4350,str\(\'H\'\),1,str\(\'stdev\'\),0.999,7,0.08,672,0,None,i7185,672,559.48046875,513.426953125,-1,0.41687697239114563,4753998
1745642576,1745643141,565,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 77 feature_id 3 batch_size 376 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 17,77,3,376,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,17,0.09,554,0,None,i7181,554,558.09375,510.88011853448273,-1,0.37671154741877433,4754556
1745644106,1745644792,686,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2113 feature_id 3 batch_size 1000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 36,2113,3,1000,str\(\'H\'\),1,str\(\'tstat\'\),0.999,36,0.09,674,0,None,i7181,674,564.51171875,515.4497767857143,-1,0.3742446917061615,4755147
1745645578,1745646354,776,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1091 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,3,1091,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,0.09,756,0,None,i7186,756,522.78125,496.01216947115387,-1,0.24457086585237733,4755695
1745646617,1745647143,526,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 750 feature_id 3 batch_size 3064 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 5,750,3,3064,str\(\'H\'\),2,str\(\'tstat\'\),0.999,5,0.09,518,0,None,i7181,518,564.25,514.9406105324074,-1,0.40665514475361425,4756099
1745648138,1745648837,699,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 765 feature_id 3 batch_size 987 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 6,765,3,987,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,6,0.08,686,0,None,i7185,686,550.8984375,504.41417253521126,-1,0.28615751714647336,4756681
1745650838,1745652277,1439,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4207 feature_id 3 batch_size 3227 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 81,4207,3,3227,str\(\'H\'\),1,str\(\'stdev\'\),0.001,81,0.08,1426,0,None,i7181,1426,558.5625,511.81328125,-1,0.38468520423139474,4757766
1745651818,1745652451,633,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2261 feature_id 3 batch_size 1844 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 4,2261,3,1844,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,4,0.09,617,0,None,i7186,617,639.05859375,540.6776733398438,-1,0.6743087641237747,4758137
1745652918,1745654453,1535,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 2554 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 79,1,3,2554,str\(\'H\'\),1,str\(\'stdev\'\),0.001,79,0.09,1525,0,None,i7183,1525,561.15625,512.6576360887096,-1,0.3768202135176118,4758558
1745654218,1745654781,563,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 1609 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,3,1609,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,0.07,551,0,None,i7181,551,524.24609375,496.8366109913793,-1,0.2334328161698762,4759036
1745655199,1745655821,622,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 199 feature_id 3 batch_size 869 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,199,3,869,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,0.08,606,0,None,i7186,606,523.46875,498.8949032738095,-1,0.25664813331030756,4759383
1745656339,1745656976,637,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2850 feature_id 3 batch_size 612 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,2850,3,612,str\(\'H\'\),3,str\(\'tstat\'\),0.999,1,0.09,622,0,None,i7185,622,538.484375,504.8355168269231,-1,0.2580120957542216,4759805
1745657781,1745658431,650,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1970 feature_id 3 batch_size 2155 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1970,3,2155,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,0.09,637,0,None,i7185,637,560.74609375,515.741181344697,-1,0.49951506062531253,4760322
1745659019,1745659618,599,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 3 batch_size 1139 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3,1139,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,0.1,588,0,None,i7180,588,655.40625,564.2470543032787,-1,0.9990220051104629,4760792
1745660009,1745660619,610,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2704 feature_id 3 batch_size 993 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,2704,3,993,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,0.1,594,0,None,i7181,594,659.4296875,563.2486769153226,-1,0.998902968388085,4761178
1745661119,1745661834,715,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4525 feature_id 3 batch_size 2365 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 49,4525,3,2365,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,49,0.09,703,0,None,i7181,703,567.15625,519.0279323630137,-1,0.3787266046623618,4761614
1745662171,1745663153,982,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 475 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 43,5000,3,475,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,43,0.09,969,0,None,i7178,969,522.66796875,494.4693023989899,-1,0.2480157164545273,4762033
1745663342,1745664068,726,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2467 feature_id 3 batch_size 4065 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 55,2467,3,4065,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,55,0.08,712,0,None,i7180,712,560.88671875,510.35779138513516,-1,0.36751054985496906,4762505
1745665100,1745665754,654,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 3 batch_size 425 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3,425,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,0.1,643,0,None,i7183,643,658.98828125,563.0215135261194,-1,0.9990296703539494,4763174
1745666161,1745666854,693,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3888 feature_id 3 batch_size 3051 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 3,3888,3,3051,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,3,0.1,681,0,None,i7186,681,644.36328125,555.9785431338029,-1,0.8905430283934146,4763546
1745667402,1745668153,751,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1568 feature_id 3 batch_size 1736 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 34,1568,3,1736,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,34,0.08,735,0,None,i7185,735,558.578125,507.59364720394734,-1,0.3599494635005904,4764012

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⚠ Job 4622686 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4622686/4622686_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_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4622686/4622686_0_log.out
----------------------------------------
submitit INFO (2025-04-23 13:11:14,787) - Starting with JobEnvironment(job_id=4622686, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-23 13:11:14,790) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4622686/4622686_submitted.pkl
slurmstepd: error: *** JOB 4622686 ON i7182 CANCELLED AT 2025-04-23T15:11:25 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4622686/4622686_0_log.err not found

Job SlurmJob<job_id=4630234, 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=4630234, 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 4630234 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4630234/4630234_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_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4630234/4630234_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4630234/4630234_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4630234/4630234_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4641798/4641798_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4674666/4674666_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4677861/4677861_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4711731/4711731_0_log.err not found


⚠ Job 4709645 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709645/4709645_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_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709645/4709645_0_log.out
----------------------------------------
submitit INFO (2025-04-25 02:27:30,893) - Starting with JobEnvironment(job_id=4709645, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 02:27:30,902) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709645/4709645_submitted.pkl
slurmstepd: error: *** JOB 4709645 ON i7183 CANCELLED AT 2025-04-25T04:27:36 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4709645.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709645/4709645_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4738491/4738491_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752154/4752154_0_log.err not found


⚠ Job 4757164 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757164/4757164_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_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757164/4757164_0_log.out
----------------------------------------
submitit INFO (2025-04-26 08:36:14,377) - Starting with JobEnvironment(job_id=4757164, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-26 08:36:14,380) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757164/4757164_submitted.pkl
slurmstepd: error: *** JOB 4757164 ON i7183 CANCELLED AT 2025-04-26T10:36:39 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4757164.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757164/4757164_0_log.err not found

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Download »worker_usage.csv« as file

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timestamp,ram_usage_mb,cpu_usage_percent
1745406469,648.68359375,11.5
1745406469,648.68359375,8.6
1745406469,648.73828125,9.0
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1745415130,763.61328125,1.4
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1745415130,763.61328125,5.6
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1745427019,978.36328125,2.9
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1745549634,1204.91015625,1.6
1745549634,1204.91015625,1.8
1745549634,1204.91015625,2.4
1745569537,1171.9921875,2.3
1745569537,1171.9921875,1.6
1745569537,1171.9921875,1.8
1745569537,1171.9921875,3.9
1745587300,1212.29296875,2.3
1745587300,1212.29296875,1.9
1745587300,1212.29296875,1.8
1745611369,1243.234375,2.4
1745611369,1243.234375,2.3
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1745611369,1243.234375,2.9
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1745637933,1233.59375,1.3
1745637933,1233.59375,1.8
1745637933,1233.59375,2.1
1745663352,1262.84375,2.4
1745663352,1262.84375,1.5
1745663352,1262.84375,1.5

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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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			.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 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h3'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M6 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h3'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1M8 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h3M3 8h2'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M9 6h2m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%234d6185' d='M5 6h1m5 0h1M4 7h3m3 0h3M5 8h3m1 0h3M6 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23c1d3fb' d='M7 7h2M8 8h1'/%3E%3Cpath stroke='%23b6cefb' d='M9 7h1m2 1h1m-2 1h2'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h3m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c2d5fc' d='M6 11h2'/%3E%3Cpath stroke='%23bad4fc' d='M9 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath 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14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M0 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M0 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M1 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M2 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M3 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M4 16h1'/%3E%3Cpath stroke='%237da0d4' d='M5 16h1m4 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M6 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M7 16h3'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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			}
			
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			.title-bar-controls button[aria-label=Help]{
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stroke='%23b5381a' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%23b8391a' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%23ba3a1b' d='M11 4h1m-8 7h2'/%3E%3Cpath stroke='%23bc3b1c' d='M12 4h1m-9 8h1'/%3E%3Cpath stroke='%23bd3c1c' d='M13 4h1m-1 1h1m-2 1h1m-7 6h1m-3 1h2'/%3E%3Cpath stroke='%23be3d1c' d='M14 4h3m-1 1h1m-1 1h1M4 14h1m-1 1h1m-1 1h2'/%3E%3Cpath stroke='%23bf3d1c' d='M17 4h3m-3 1h3m-2 1h2m-1 1h1M4 17h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%235b1d0d' d='M1 5h1'/%3E%3Cpath stroke='%239c3016' d='M3 5h1'/%3E%3Cpath stroke='%23a43217' d='M4 5h1'/%3E%3Cpath stroke='%23b8553e' d='M5 5h1'/%3E%3Cpath stroke='%23d59485' d='M6 5h1M5 6h1'/%3E%3Cpath stroke='%23b33619' d='M7 5h1'/%3E%3Cpath stroke='%23b53719' d='M8 5h1'/%3E%3Cpath stroke='%23b8381a' d='M9 5h1M6 8h1'/%3E%3Cpath stroke='%23b9391b' d='M10 5h1'/%3E%3Cpath stroke='%23ba391b' d='M11 5h1M6 9h1m-2 1h1'/%3E%3Cpath stroke='%23bc3b1b' d='M12 5h1m-2 1h1m-6 5h1m-2 1h1'/%3E%3Cpath stroke='%23dc9887' d='M14 5h1'/%3E%3Cpath stroke='%23c85d42' d='M15 5h1M5 15h1'/%3E%3Cpath stroke='%23611f0e' d='M1 6h1'/%3E%3Cpath stroke='%23a23217' d='M3 6h1'/%3E%3Cpath stroke='%23d79585' d='M6 6h1'/%3E%3Cpath stroke='%23d89585' d='M7 6h1'/%3E%3Cpath stroke='%23b8371a' d='M8 6h1'/%3E%3Cpath stroke='%23ba391a' d='M9 6h1'/%3E%3Cpath stroke='%23bb3a1b' d='M10 6h1m-5 4h1'/%3E%3Cpath stroke='%23dd9887' d='M13 6h3m-4 1h1m-2 1h1M9 9h1m-2 2h1m-2 1h1m-2 1h1m-2 1h2'/%3E%3Cpath stroke='%23c03e1d' d='M17 6h1m-2 1h3m0 1h1m-1 1h1M7 16h1m-2 1h2m0 1h1'/%3E%3Cpath stroke='%2365200e' d='M1 7h1'/%3E%3Cpath stroke='%23902d15' d='M2 7h1'/%3E%3Cpath stroke='%23a73418' d='M3 7h1'/%3E%3Cpath stroke='%23af3518' d='M4 7h1'/%3E%3Cpath stroke='%23b43619' d='M5 7h1'/%3E%3Cpath stroke='%23d99585' d='M6 7h1'/%3E%3Cpath stroke='%23da9686' d='M7 7h1'/%3E%3Cpath stroke='%23db9686' d='M8 7h1M7 8h1'/%3E%3Cpath stroke='%23bc3a1b' d='M9 7h1M7 9h1'/%3E%3Cpath stroke='%23bd3b1b' d='M10 7h1m-4 3h1'/%3E%3Cpath stroke='%23be3c1c' d='M11 7h1m-2 1h1m-3 2h1m-2 1h1'/%3E%3Cpath stroke='%23de9987' d='M13 7h2m-3 1h2m-4 1h2m-3 1h1m-2 2h1m-2 2h1'/%3E%3Cpath stroke='%23c03f1d' d='M15 7h1m-9 8h1'/%3E%3Cpath stroke='%236a220f' d='M1 8h1'/%3E%3Cpath stroke='%23952f15' d='M2 8h1'/%3E%3Cpath stroke='%23ac3518' d='M3 8h1'/%3E%3Cpath stroke='%23b63719' d='M5 8h1'/%3E%3Cpath stroke='%23dc9786' d='M8 8h2M8 9h1'/%3E%3Cpath stroke='%23c2401d' d='M14 8h1m2 0h1m1 3h1M8 14h1m-1 2h1m-1 1h1m0 1h1m1 1h1'/%3E%3Cpath stroke='%23c2401e' d='M15 8h2m1 1h1M8 15h1'/%3E%3Cpath stroke='%23c13f1d' d='M18 8h1m0 2h1M9 19h2'/%3E%3Cpath stroke='%23702410' d='M1 9h1'/%3E%3Cpath stroke='%239b3016' d='M2 9h1'/%3E%3Cpath stroke='%23b03619' d='M3 9h1'/%3E%3Cpath stroke='%23b9381a' d='M5 9h1'/%3E%3Cpath stroke='%23df9a88' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23c4421e' d='M13 9h1m2 0h2m0 1h1M9 13h1m9 1h1m-1 1h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h3'/%3E%3Cpath stroke='%23c5431e' d='M14 9h1'/%3E%3Cpath stroke='%23c5431f' d='M15 9h1m-4 1h1m5 1h1m-9 1h1m-2 2h1m-1 1h1m0 2h1m0 1h1m6 0h1'/%3E%3Cpath 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
			}
			
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				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{
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				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
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			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
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				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;
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				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
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				-webkit-box-shadow: inset 0 0 1px 0 #686868;
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			progress[value]: :-webkit-progress-bar{
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			progress: not([value]): after{
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				top: 1px;
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				height: calc(100% - 2px);
				padding: 1px 2px;
				border-radius: 2px;
				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)
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			progress: not([value]): after,progress: not([value]): after: not([value]){
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				animation: sliding 2s linear 0s infinite;
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			progress:not([value])::after {
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 1px;
				left: 2px;
				width: 100%;
				height: calc(100% - 2px);
				padding: 1px 2px;
				border-radius: 2px;
				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);
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				content: "";
				position: absolute;
				top: 0;
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				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
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			Element {
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			progress:not([value]) {
				position: relative;
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			progress:not([value]) {
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px;
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		</style>
	</head>
	<body>
		<script>
			var log = console.log;
			var theme = 'light';

			var special_col_names = ["trial_index","arm_name","trial_status","generation_method","generation_node","hostname","run_time","start_time","exit_code","signal","end_time","program_string"]

			var result_names = [
			    "ACCURACY",
			    "RUNTIME"
			];
			var result_min_max = [
			    "max",
			    "min"
			];
			var tab_results_headers_json = [
			    "trial_index",
			    "arm_name",
			    "trial_status",
			    "generation_method",
			    "generation_node",
			    "ACCURACY",
			    "RUNTIME",
			    "recent_samples_size",
			    "feature_id",
			    "batch_size",
			    "divergence",
			    "detect_batch",
			    "statistic",
			    "significance",
			    "subsets"
			];
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2908 feature_id 4 batch_size 259 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.5420262361709028 subsets 60",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 SensorStream 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3782 feature_id 3 batch_size 591 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 36",
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			var tab_main_worker_cpu_ram_csv_json = [
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			    [
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			];
			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>50445 </td></tr><tr><td> Max. nr. evaluations (from arguments)</td><td>50000 </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>445   </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>int</td><td>0</td><td>4</td><td></td><td>int</td><td>No         </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>86</td>
			<td>777</td>
			<td>20</td>
			<td>883</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,feature_id,batch_size,divergence,detect_batch,statistic,significance,subsets
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1245.000000000000000000000000000000,4793,0,4879,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.405248029232025130941252655248,31
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.080000000000000001665334536938,1274.000000000000000000000000000000,1484,3,1871,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.603530787652358458039714150800,81
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1561.000000000000000000000000000000,1095,1,2906,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.095135870818048709485204028624,63
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,1336.000000000000000000000000000000,2630,4,992,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.894150630300864612820532784099,14
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1196.000000000000000000000000000000,3417,2,2388,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.158428100913763053592120400026,54
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,1437.000000000000000000000000000000,318,4,4301,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.832807618955150208428506175551,5
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1688.000000000000000000000000000000,1948,1,454,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.343904937952756895036543483002,40
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1787.000000000000000000000000000000,4318,2,3462,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.666823088387027418377783760661,91
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,4489.000000000000000000000000000000,3815,1,181,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.247306099632754933237421823833,61
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,1249.000000000000000000000000000000,2460,4,3422,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.757559042185544928571516720694,11
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1228.000000000000000000000000000000,275,0,1958,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.253332866529002775912715605955,47
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.080000000000000001665334536938,1582.000000000000000000000000000000,3452,3,3794,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.739836843818426181940139940707,96
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1256.000000000000000000000000000000,2988,0,2711,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.441496922796592139448534908297,38
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.080000000000000001665334536938,486.000000000000000000000000000000,750,3,875,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.553622006300836799752573824662,87
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1483.000000000000000000000000000000,1673,2,4527,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.061091191476210955635384181051,71
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,1529.000000000000000000000000000000,4591,4,1285,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.945723169092088977727428300568,20
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1224.000000000000000000000000000000,4472,2,3147,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.570759223036467977507868454268,74
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.089999999999999996669330926125,692.000000000000000000000000000000,1764,3,139,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.434120909111574304617420239083,25
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1291.000000000000000000000000000000,815,0,3986,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.927652979068458116707063254580,32
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1906.000000000000000000000000000000,2951,2,2073,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.065531721608713275339930248720,83
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1331.000000000000000000000000000000,3738,0,683,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.866309424918144888039250872680,47
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.080000000000000001665334536938,1737.000000000000000000000000000000,39,3,2596,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.128824494509026415967056777845,98
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1540.000000000000000000000000000000,2228,1,1561,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.634051932733506018458058406395,58
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,1336.000000000000000000000000000000,3997,4,4569,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.372777418164536356037785935769,9
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1357.000000000000000000000000000000,4121,1,1601,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.791304569272324398454543370462,42
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1251.000000000000000000000000000000,2117,2,4842,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.217458772104233505340076249013,91
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1235.000000000000000000000000000000,618,2,1190,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.707309409288689461270394076564,53
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.040000000000000000832667268469,1859.000000000000000000000000000000,3145,4,3026,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.281961625616997502152827337341,2
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.029999999999999998889776975375,1512.000000000000000000000000000000,2682,1,4104,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.521094028966501365829344649683,69
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.050000000000000002775557561563,1357.000000000000000000000000000000,1093,4,2267,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.470126224689185634453281181777,18
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,548.000000000000000000000000000000,1475,3,94,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.526917057172620162397436160973,35
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,557.000000000000000000000000000000,919,3,2395,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.473563903662203522504370312163,1
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,544.000000000000000000000000000000,4702,3,1025,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.456010011773380685706769099852,32
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,496.000000000000000000000000000000,375,3,2094,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.598210337208359255178891089599,22
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,618.000000000000000000000000000000,3093,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,578.000000000000000000000000000000,4645,3,4295,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.441606927539472615684701395367,5
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,474.000000000000000000000000000000,120,3,4586,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.527208188203054706200134660321,25
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,464.000000000000000000000000000000,1,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.060131551526731059909014476261,1
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,468.000000000000000000000000000000,854,3,1434,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.653893911139416084132847117871,1
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,566.000000000000000000000000000000,4211,3,465,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.438029324738188230448088233970,1
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,503.000000000000000000000000000000,616,3,1499,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.581509133776222930656274456851,33
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,557.000000000000000000000000000000,2469,3,4267,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.425595954897085293477942968821,2
42,42_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,544.000000000000000000000000000000,783,3,280,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.578729158695731715766896741115,1
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,473.000000000000000000000000000000,1,3,4626,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,544.000000000000000000000000000000,5000,3,399,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,535.000000000000000000000000000000,672,3,1935,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.540603343434525429600512325123,24
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,487.000000000000000000000000000000,2412,3,871,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.057651467274708156907081502140,1
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,479.000000000000000000000000000000,706,3,1985,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.349680791328654205774029151144,1
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,547.000000000000000000000000000000,597,3,4439,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.404130147898085378965760128267,1
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2704.000000000000000000000000000000,5000,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,563.000000000000000000000000000000,1,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,705.000000000000000000000000000000,3172,3,961,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.492892346628717725742774291575,1
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,492.000000000000000000000000000000,1,3,467,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.561833101042341409581126754347,1
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,538.000000000000000000000000000000,4313,3,441,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.494742440514299886000770811734,1
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,516.000000000000000000000000000000,1,3,2427,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.040812264969455024077316096509,1
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,525.000000000000000000000000000000,168,3,775,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.495697980351675338006600668450,25
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,540.000000000000000000000000000000,997,3,4487,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.448714757706717148888486690339,43
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2603.000000000000000000000000000000,117,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.645329890751932255810174865474,1
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,541.000000000000000000000000000000,1,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2416.000000000000000000000000000000,1456,3,83,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,555.000000000000000000000000000000,1827,3,653,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
62,62_0,FAILED,BoTorch,GenerationStep_1,,,2489,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2506.000000000000000000000000000000,572,3,126,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,55
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,6791.000000000000000000000000000000,5000,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,16
65,65_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
66,66_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,602.000000000000000000000000000000,5000,3,186,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2730.000000000000000000000000000000,2567,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,508.000000000000000000000000000000,4492,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18
70,70_0,FAILED,BoTorch,GenerationStep_1,,,1905,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,562.000000000000000000000000000000,3181,3,374,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
72,72_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2802.000000000000000000000000000000,5000,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.051648740070501755750065342454,1
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,568.000000000000000000000000000000,1276,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58
75,75_0,FAILED,BoTorch,GenerationStep_1,,,1472,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,51
76,76_0,FAILED,BoTorch,GenerationStep_1,,,4108,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,523.000000000000000000000000000000,1947,3,703,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,572.000000000000000000000000000000,5000,3,4777,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,53
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,555.000000000000000000000000000000,439,3,3125,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,474.000000000000000000000000000000,4733,3,2543,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2270.000000000000000000000000000000,4960,3,38,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,35
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,607.000000000000000000000000000000,4382,3,657,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37
83,83_0,FAILED,BoTorch,GenerationStep_1,,,3499,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,699.000000000000000000000000000000,2634,3,459,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,682.000000000000000000000000000000,1,3,24,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1210.000000000000000000000000000000,5000,3,1208,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62
87,87_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3750.000000000000000000000000000000,5000,3,475,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1082.000000000000000000000000000000,1,3,436,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,59
90,90_0,RUNNING,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,479.000000000000000000000000000000,1,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,594.000000000000000000000000000000,3492,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
93,93_0,RUNNING,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67
94,94_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
95,95_0,RUNNING,BoTorch,GenerationStep_1,,,544,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,73
96,96_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2415.000000000000000000000000000000,2054,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
98,98_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,569.000000000000000000000000000000,1,3,1179,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,45
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,601.000000000000000000000000000000,1,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,592.000000000000000000000000000000,5000,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,522.000000000000000000000000000000,1,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44
103,103_0,FAILED,BoTorch,GenerationStep_1,,,2562,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,595.000000000000000000000000000000,1,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,58
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2380.000000000000000000000000000000,154,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,77
106,106_0,RUNNING,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56
107,107_0,RUNNING,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,52
108,108_0,FAILED,BoTorch,GenerationStep_1,,,2527,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19
109,109_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2323.000000000000000000000000000000,4894,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
111,111_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,672.000000000000000000000000000000,5000,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
113,113_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,511.000000000000000000000000000000,5000,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2320.000000000000000000000000000000,1,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1753.000000000000000000000000000000,2215,4,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2425.000000000000000000000000000000,1,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2692.000000000000000000000000000000,92,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2632.000000000000000000000000000000,3915,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
120,120_0,FAILED,BoTorch,GenerationStep_1,,,1892,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,5
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,4274.000000000000000000000000000000,5000,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,78
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,4135.000000000000000000000000000000,4413,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
123,123_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
124,65_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
125,125_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16
126,126_0,FAILED,BoTorch,GenerationStep_1,,,3840,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
127,127_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
128,128_0,FAILED,BoTorch,GenerationStep_1,,,2293,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,22
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,541.000000000000000000000000000000,3876,3,4276,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20
130,130_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,3576.000000000000000000000000000000,1,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,69
132,98_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2372.000000000000000000000000000000,1,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
134,134_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,70
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,480.000000000000000000000000000000,3503,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2476.000000000000000000000000000000,5000,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,52
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,557.000000000000000000000000000000,1,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26
138,138_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000111910480882216,1
139,139_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15
140,140_0,FAILED,BoTorch,GenerationStep_1,,,4743,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,510.000000000000000000000000000000,1,3,4868,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,3084.000000000000000000000000000000,1970,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,82
143,143_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19
144,144_0,FAILED,BoTorch,GenerationStep_1,,,3457,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,3205.000000000000000000000000000000,1,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2373.000000000000000000000000000000,5000,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
147,147_0,RUNNING,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
148,148_0,FAILED,BoTorch,GenerationStep_1,,,2629,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,13
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,3284.000000000000000000000000000000,1,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,55
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,556.000000000000000000000000000000,2283,3,3226,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.611454391840077993158786284766,1
151,151_0,RUNNING,BoTorch,GenerationStep_1,,,882,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,66
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2509.000000000000000000000000000000,294,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,75
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,490.000000000000000000000000000000,1113,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,47
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,556.000000000000000000000000000000,1,3,1552,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.430998958554715094759757221254,1
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,632.000000000000000000000000000000,5000,3,1796,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.487550355209601216088799446879,1
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,632.000000000000000000000000000000,1,3,3654,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
157,157_0,RUNNING,BoTorch,GenerationStep_1,,,301,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.961590754460991070651232348609,84
158,158_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.275265072713688108141383281691,1
159,159_0,FAILED,BoTorch,GenerationStep_1,,,442,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,539.000000000000000000000000000000,2275,3,3469,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.557159077980789674278128131846,1
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2543.000000000000000000000000000000,2354,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,558.000000000000000000000000000000,1458,3,2187,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,522.000000000000000000000000000000,2476,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.626547902102101317289850612724,1
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,613.000000000000000000000000000000,2463,3,1892,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
165,165_0,FAILED,BoTorch,GenerationStep_1,,,2288,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.517490648934755270715868391562,21
166,166_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.294793185901003784721297051874,1
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,615.000000000000000000000000000000,2543,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.144524113420754246606136916853,1
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,692.000000000000000000000000000000,1,3,31,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,667.000000000000000000000000000000,2527,3,3866,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,7
170,170_0,FAILED,BoTorch,GenerationStep_1,,,2155,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,668.000000000000000000000000000000,1,3,4181,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,517.000000000000000000000000000000,1354,3,4940,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.874551798658840251476931371144,28
173,173_0,FAILED,BoTorch,GenerationStep_1,,,1007,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,98
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,610.000000000000000000000000000000,812,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39
175,175_0,FAILED,BoTorch,GenerationStep_1,,,691,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.478670694398566520799676027309,67
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,462.000000000000000000000000000000,480,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,561.000000000000000000000000000000,5000,3,2335,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,1243.000000000000000000000000000000,533,3,2964,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.736241104982583882687663390243,100
179,179_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
180,180_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,549.000000000000000000000000000000,1278,3,515,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,608.000000000000000000000000000000,1422,3,404,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.498294251854672742840790533592,30
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,566.000000000000000000000000000000,4451,3,847,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,579.000000000000000000000000000000,29,3,394,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,537.000000000000000000000000000000,3030,3,738,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,648.000000000000000000000000000000,1359,3,597,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,577.000000000000000000000000000000,2041,3,1309,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,576.000000000000000000000000000000,4989,3,762,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,553.000000000000000000000000000000,3787,3,2155,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.173545539971533380185775286009,1
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,575.000000000000000000000000000000,1,3,2668,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,550.000000000000000000000000000000,822,3,1925,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
191,191_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,611.000000000000000000000000000000,1,3,2130,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,555.000000000000000000000000000000,785,3,1424,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,571.000000000000000000000000000000,1,3,1708,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,555.000000000000000000000000000000,5000,3,790,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,617.000000000000000000000000000000,317,3,2314,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,554.000000000000000000000000000000,1,3,445,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,624.000000000000000000000000000000,172,3,2629,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,561.000000000000000000000000000000,5000,3,2249,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,577.000000000000000000000000000000,1,3,755,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,547.000000000000000000000000000000,1,3,2918,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,548.000000000000000000000000000000,2809,3,2116,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,663.000000000000000000000000000000,729,3,859,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,597.000000000000000000000000000000,1261,3,3491,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,557.000000000000000000000000000000,5000,3,1182,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,565.000000000000000000000000000000,2143,3,437,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,547.000000000000000000000000000000,2845,3,1264,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,560.000000000000000000000000000000,2150,3,1726,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,552.000000000000000000000000000000,3796,3,1153,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,560.000000000000000000000000000000,4500,3,1010,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1808.000000000000000000000000000000,3100,3,314,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.981180254166371890178766079771,62
211,211_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,630.000000000000000000000000000000,3066,3,994,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.068390456901222099195258863347,9
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,545.000000000000000000000000000000,928,3,330,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.941076912325864767261407450860,24
213,213_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,738.000000000000000000000000000000,30,3,46,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.975260799045414628061223538680,21
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,499.000000000000000000000000000000,671,3,1277,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.323689048996891659548680308944,8
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,561.000000000000000000000000000000,217,3,743,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,7
216,216_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,8
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,630.000000000000000000000000000000,1,3,1671,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.336480907521914451852040883750,1
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,522.000000000000000000000000000000,3174,3,3183,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.473387219649805734977832116783,13
219,219_0,FAILED,BoTorch,GenerationStep_1,,,3046,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,64
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,565.000000000000000000000000000000,4994,3,1889,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.798897919991371052716999656695,5
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,3991.000000000000000000000000000000,1908,3,136,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.869651983829614283472153601906,64
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,531.000000000000000000000000000000,2721,3,1385,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.132085846428500158777907813601,13
223,223_0,FAILED,BoTorch,GenerationStep_1,,,1760,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,65
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,542.000000000000000000000000000000,198,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.703598133059522679033648273617,23
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,518.000000000000000000000000000000,1541,3,1782,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.704304267829951369250807147182,10
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,832.000000000000000000000000000000,1010,3,50,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,508.000000000000000000000000000000,3448,3,1605,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.095258649339190981653047174404,5
228,228_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,489.000000000000000000000000000000,1917,3,2273,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,10
229,229_0,FAILED,BoTorch,GenerationStep_1,,,555,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16
230,230_0,FAILED,BoTorch,GenerationStep_1,,,3311,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,60
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,550.000000000000000000000000000000,4913,3,1120,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.287436441285505495102370332461,10
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,500.000000000000000000000000000000,1326,3,1477,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.614114860315551847058657131129,18
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,501.000000000000000000000000000000,4795,3,4021,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,9
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,521.000000000000000000000000000000,3824,3,2289,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.636770348686796494597217588307,5
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,499.000000000000000000000000000000,4448,3,531,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.671245337569091660157027945388,13
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,496.000000000000000000000000000000,952,3,2287,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.670604313729202705651744054194,6
237,237_0,FAILED,BoTorch,GenerationStep_1,,,1333,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.727876088166296786319264811027,26
238,238_0,FAILED,BoTorch,GenerationStep_1,,,3999,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.773171527996698082496607185021,62
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,486.000000000000000000000000000000,4916,3,1300,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.903066126715185157891596645641,11
240,240_0,RUNNING,BoTorch,GenerationStep_1,,,672,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,503.000000000000000000000000000000,3823,3,4462,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,548.000000000000000000000000000000,2408,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,45
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2493.000000000000000000000000000000,1432,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,93
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2426.000000000000000000000000000000,4405,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,491.000000000000000000000000000000,4083,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13
246,246_0,FAILED,BoTorch,GenerationStep_1,,,2987,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,47
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,508.000000000000000000000000000000,449,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
248,248_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2343.000000000000000000000000000000,3611,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
250,250_0,FAILED,BoTorch,GenerationStep_1,,,949,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,55
251,251_0,FAILED,BoTorch,GenerationStep_1,,,3173,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
252,252_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,52
253,253_0,FAILED,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,4030.000000000000000000000000000000,5000,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20
255,255_0,FAILED,BoTorch,GenerationStep_1,,,2287,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,65
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2441.000000000000000000000000000000,4173,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25
257,257_0,RUNNING,BoTorch,GenerationStep_1,,,546,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20
258,258_0,FAILED,BoTorch,GenerationStep_1,,,2883,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,488.000000000000000000000000000000,4085,3,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,605.000000000000000000000000000000,4055,3,2329,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
261,261_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53
262,262_0,FAILED,BoTorch,GenerationStep_1,,,2442,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,753.000000000000000000000000000000,1,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,70
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,553.000000000000000000000000000000,5000,3,1977,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
265,265_0,RUNNING,BoTorch,GenerationStep_1,,,2674,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,581.000000000000000000000000000000,3022,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48
267,267_0,RUNNING,BoTorch,GenerationStep_1,,,3169,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,47
268,268_0,RUNNING,BoTorch,GenerationStep_1,,,3916,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,552.000000000000000000000000000000,1,3,1843,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,515.000000000000000000000000000000,1671,3,512,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.464227976654635832165496367452,23
271,271_0,RUNNING,BoTorch,GenerationStep_1,,,1624,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.431959820899371405023003944734,23
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2557.000000000000000000000000000000,1670,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.720336421181944630554028208280,100
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,559.000000000000000000000000000000,4406,3,1249,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,495.000000000000000000000000000000,2061,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.649640697391647314873353025177,30
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2399.000000000000000000000000000000,1329,3,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.669008669079754869635223712976,100
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,608.000000000000000000000000000000,2917,3,17,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.610778601647057661772066694539,30
277,277_0,FAILED,BoTorch,GenerationStep_1,,,1936,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,4746.000000000000000000000000000000,1496,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.192123065763156963825508682930,12
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,586.000000000000000000000000000000,3575,3,2264,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
280,280_0,FAILED,BoTorch,GenerationStep_1,,,1783,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2445.000000000000000000000000000000,1199,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
282,282_0,RUNNING,BoTorch,GenerationStep_1,,,3664,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31
283,283_0,RUNNING,BoTorch,GenerationStep_1,,,1649,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
284,284_0,FAILED,BoTorch,GenerationStep_1,,,1770,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,623.000000000000000000000000000000,655,3,97,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.317248746509333601206748198820,20
286,286_0,FAILED,BoTorch,GenerationStep_1,,,3145,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.551710484850319038407917560107,56
287,287_0,RUNNING,BoTorch,GenerationStep_1,,,5000,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,45
288,288_0,FAILED,BoTorch,GenerationStep_1,,,4962,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,66
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,481.000000000000000000000000000000,1967,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,497.000000000000000000000000000000,1563,3,4610,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
291,291_0,FAILED,BoTorch,GenerationStep_1,,,3444,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,53
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,476.000000000000000000000000000000,1660,3,4928,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.422992846355187190887647830095,18
293,293_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,59
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2411.000000000000000000000000000000,1,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.715391511674391189501420740271,37
295,295_0,FAILED,BoTorch,GenerationStep_1,,,1,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.204795298804964082117763268798,63
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1722.000000000000000000000000000000,332,3,423,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,67
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,473.000000000000000000000000000000,3869,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.553250134381979674635942956229,17
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2905.000000000000000000000000000000,3044,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,506.000000000000000000000000000000,2341,3,4885,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.791836949528541333975795168953,36
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,555.000000000000000000000000000000,5000,3,3668,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,509.000000000000000000000000000000,1,3,474,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,6
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,557.000000000000000000000000000000,1,3,3215,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,583.000000000000000000000000000000,1,3,490,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,508.000000000000000000000000000000,528,3,482,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1807.000000000000000000000000000000,5000,2,1093,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,559.000000000000000000000000000000,5000,3,3384,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,608.000000000000000000000000000000,5000,3,2719,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,544.000000000000000000000000000000,5000,3,2645,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,547.000000000000000000000000000000,5000,3,3809,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1880.000000000000000000000000000000,5000,2,3770,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1265.000000000000000000000000000000,1245,1,3306,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1445.000000000000000000000000000000,1859,2,4706,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,5
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1746.000000000000000000000000000000,3926,2,3011,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,694.000000000000000000000000000000,1582,3,3708,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1281.000000000000000000000000000000,3906,1,1113,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1226.000000000000000000000000000000,5000,2,3724,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1355.000000000000000000000000000000,777,1,647,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,588.000000000000000000000000000000,1,3,3967,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1735.000000000000000000000000000000,3791,2,3635,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.443966628950024533306617513517,1
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1390.000000000000000000000000000000,5000,1,4071,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1385.000000000000000000000000000000,1,2,3934,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1258.000000000000000000000000000000,1687,2,1731,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,571.000000000000000000000000000000,1,3,466,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1229.000000000000000000000000000000,4365,2,2616,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1427.000000000000000000000000000000,4749,1,4641,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1272.000000000000000000000000000000,1,2,485,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1848.000000000000000000000000000000,68,1,3897,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,551.000000000000000000000000000000,5000,3,1546,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1550.000000000000000000000000000000,5000,1,4392,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,519.000000000000000000000000000000,1,3,896,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,518.000000000000000000000000000000,4302,3,3128,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,510.000000000000000000000000000000,1,3,3583,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,518.000000000000000000000000000000,5000,3,2093,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1295.000000000000000000000000000000,2754,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,508.000000000000000000000000000000,5000,3,4355,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,523.000000000000000000000000000000,5000,3,1676,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,474.000000000000000000000000000000,1074,3,654,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,612.000000000000000000000000000000,1,3,3957,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,521.000000000000000000000000000000,1,3,3283,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,506.000000000000000000000000000000,5000,3,3815,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,526.000000000000000000000000000000,1,3,988,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,505.000000000000000000000000000000,1,3,2953,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,568.000000000000000000000000000000,1,3,828,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,484.000000000000000000000000000000,103,3,1536,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,713.000000000000000000000000000000,4968,3,2652,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,52
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,504.000000000000000000000000000000,5000,3,2614,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,509.000000000000000000000000000000,1,3,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,39
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1328.000000000000000000000000000000,804,4,1655,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,69
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,466.000000000000000000000000000000,1,3,742,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,502.000000000000000000000000000000,5000,3,4844,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,506.000000000000000000000000000000,1,3,949,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,485.000000000000000000000000000000,5000,3,1273,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,94
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,631.000000000000000000000000000000,1,3,4710,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,61
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,553.000000000000000000000000000000,1,3,817,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.040000000000000000832667268469,1376.000000000000000000000000000000,1,4,897,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1585.000000000000000000000000000000,3213,0,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,523.000000000000000000000000000000,1,3,2295,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,491.000000000000000000000000000000,1,3,1899,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,663.000000000000000000000000000000,5000,3,4455,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,511.000000000000000000000000000000,364,3,819,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,513.000000000000000000000000000000,1,3,643,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,548.000000000000000000000000000000,3543,3,2961,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,498.000000000000000000000000000000,5000,3,4764,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,35
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,519.000000000000000000000000000000,1,3,3550,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.050000000000000002775557561563,1409.000000000000000000000000000000,5000,4,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,529.000000000000000000000000000000,5000,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,51
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,503.000000000000000000000000000000,5000,3,1024,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,497.000000000000000000000000000000,3886,3,900,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,514.000000000000000000000000000000,5000,3,3527,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,557.000000000000000000000000000000,1,3,3498,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1916.000000000000000000000000000000,305,0,1132,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1043.000000000000000000000000000000,5000,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.118020708524470913092230262009,96
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,502.000000000000000000000000000000,1,3,4029,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,503.000000000000000000000000000000,1,3,711,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,5
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,513.000000000000000000000000000000,1,3,3179,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,559.000000000000000000000000000000,5000,3,4543,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,503.000000000000000000000000000000,5000,3,2620,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,550.000000000000000000000000000000,2788,3,2112,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,510.000000000000000000000000000000,5000,3,1145,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,547.000000000000000000000000000000,5000,3,4418,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,499.000000000000000000000000000000,1,3,4305,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,544.000000000000000000000000000000,5000,3,3206,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,594.000000000000000000000000000000,5000,3,3308,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,622.000000000000000000000000000000,5000,3,1808,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,489.000000000000000000000000000000,1,3,665,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,11
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,538.000000000000000000000000000000,1858,3,4117,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,552.000000000000000000000000000000,5000,3,4083,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,518.000000000000000000000000000000,1,3,808,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,511.000000000000000000000000000000,5000,3,2986,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
390,390_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,574.000000000000000000000000000000,5000,3,3884,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,564.000000000000000000000000000000,5000,3,717,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,551.000000000000000000000000000000,1,3,4569,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
393,393_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,558.000000000000000000000000000000,1,3,1884,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,553.000000000000000000000000000000,5000,3,3058,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,558.000000000000000000000000000000,5000,3,1520,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,553.000000000000000000000000000000,5000,3,746,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
397,397_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,992.000000000000000000000000000000,1,3,4577,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,93
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,594.000000000000000000000000000000,5000,3,4663,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
399,399_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,574.000000000000000000000000000000,1,3,1562,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,758.000000000000000000000000000000,5000,3,3154,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,58
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1408.000000000000000000000000000000,4841,3,4538,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,91
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,951.000000000000000000000000000000,3916,3,4353,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,80
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1201.000000000000000000000000000000,287,3,4285,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,85
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,761.000000000000000000000000000000,2304,3,4576,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,77
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,501.000000000000000000000000000000,251,3,3486,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,6
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,557.000000000000000000000000000000,1,3,4441,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,546.000000000000000000000000000000,1,3,2797,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,564.000000000000000000000000000000,5000,3,2975,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,552.000000000000000000000000000000,5000,3,4140,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,479.000000000000000000000000000000,4285,3,2870,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,7
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,510.000000000000000000000000000000,1,3,544,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,7
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,508.000000000000000000000000000000,44,3,494,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,547.000000000000000000000000000000,4970,3,644,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,554.000000000000000000000000000000,5000,3,4686,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,594.000000000000000000000000000000,5000,3,621,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,551.000000000000000000000000000000,5000,3,1621,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,544.000000000000000000000000000000,1,3,1446,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,549.000000000000000000000000000000,5000,3,1337,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,583.000000000000000000000000000000,5000,3,3489,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
420,420_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,611.000000000000000000000000000000,1844,3,560,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31
421,421_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2653.000000000000000000000000000000,2676,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
422,422_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,493.000000000000000000000000000000,1,3,1176,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,2
423,423_0,RUNNING,BoTorch,GenerationStep_1,,,2056,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32
424,424_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,573.000000000000000000000000000000,3122,3,3655,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
425,425_0,FAILED,BoTorch,GenerationStep_1,,,3637,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
426,426_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,590.000000000000000000000000000000,1826,3,3090,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
427,427_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,565.000000000000000000000000000000,1770,3,963,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
428,428_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,550.000000000000000000000000000000,3955,3,3826,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
429,429_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,650.000000000000000000000000000000,2143,3,371,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32
430,430_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,519.000000000000000000000000000000,2834,3,1872,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
431,431_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2581.000000000000000000000000000000,3615,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
432,432_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,563.000000000000000000000000000000,1785,3,4171,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
433,433_0,RUNNING,BoTorch,GenerationStep_1,,,2551,3,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29
434,434_0,FAILED,BoTorch,GenerationStep_1,,,4988,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
435,435_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,505.000000000000000000000000000000,2819,3,514,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20
436,436_0,FAILED,BoTorch,GenerationStep_1,,,2865,3,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
437,437_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,565.000000000000000000000000000000,4643,3,2578,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
438,438_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,506.000000000000000000000000000000,2254,3,4357,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
439,439_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,506.000000000000000000000000000000,862,3,3439,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
440,440_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,560.000000000000000000000000000000,1512,3,1244,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
441,441_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,500.000000000000000000000000000000,3627,3,1220,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
442,442_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2949.000000000000000000000000000000,3253,3,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,94
443,443_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,549.000000000000000000000000000000,1557,3,1012,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30
444,444_0,FAILED,BoTorch,GenerationStep_1,,,4586,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,51
445,445_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,517.000000000000000000000000000000,3466,3,1824,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
446,446_0,FAILED,BoTorch,GenerationStep_1,,,3674,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46
447,447_0,FAILED,BoTorch,GenerationStep_1,,,3716,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13
448,448_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,566.000000000000000000000000000000,2055,3,762,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
449,449_0,FAILED,BoTorch,GenerationStep_1,,,3899,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,56
450,450_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,482.000000000000000000000000000000,1,3,616,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22
451,451_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,643.000000000000000000000000000000,1,3,2755,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40
452,452_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,516.000000000000000000000000000000,1,3,1672,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
453,453_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,570.000000000000000000000000000000,2889,3,4715,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,35
454,454_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,531.000000000000000000000000000000,5000,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
455,455_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,594.000000000000000000000000000000,1,3,4475,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,36
456,456_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,519.000000000000000000000000000000,5000,3,3991,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
457,457_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1220.000000000000000000000000000000,2091,0,1138,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
458,458_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1234.000000000000000000000000000000,4322,0,2532,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
459,459_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,550.000000000000000000000000000000,816,3,1217,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67
460,460_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,501.000000000000000000000000000000,1,3,574,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22
461,461_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,538.000000000000000000000000000000,5000,3,914,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
462,462_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,595.000000000000000000000000000000,1,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
463,463_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,667.000000000000000000000000000000,1059,3,2237,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43
464,464_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,576.000000000000000000000000000000,5000,3,4540,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,36
465,465_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,579.000000000000000000000000000000,1,3,1641,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
466,466_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,607.000000000000000000000000000000,5000,3,3702,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,36
467,467_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,543.000000000000000000000000000000,4522,3,1807,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
468,468_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,503.000000000000000000000000000000,1,3,445,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22
469,469_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,559.000000000000000000000000000000,5000,3,2199,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
470,470_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,521.000000000000000000000000000000,5000,3,1988,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
471,471_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,536.000000000000000000000000000000,1,3,2633,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
472,472_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1221.000000000000000000000000000000,2221,0,462,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
473,473_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,786.000000000000000000000000000000,1,3,1384,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53
474,474_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,588.000000000000000000000000000000,1101,3,1982,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,66
475,475_0,COMPLETED,BoTorch,GenerationStep_1,0.029999999999999998889776975375,1208.000000000000000000000000000000,4569,0,2233,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
476,476_0,COMPLETED,BoTorch,GenerationStep_1,0.070000000000000006661338147751,496.000000000000000000000000000000,1,3,1205,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
477,477_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1091.000000000000000000000000000000,1,3,4624,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,91
478,478_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,518.000000000000000000000000000000,1001,3,4281,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36
479,479_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,631.000000000000000000000000000000,5000,3,4337,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32
480,480_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,673.000000000000000000000000000000,4562,3,2525,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
481,481_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,627.000000000000000000000000000000,5000,3,4717,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
482,482_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,605.000000000000000000000000000000,1,3,4545,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
483,483_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,3128.000000000000000000000000000000,1,3,1226,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
484,484_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,669.000000000000000000000000000000,1,3,2852,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
485,485_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,559.000000000000000000000000000000,2159,3,3418,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
486,486_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,486.000000000000000000000000000000,1,3,632,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,35
487,487_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,602.000000000000000000000000000000,1,3,3740,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
488,488_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,635.000000000000000000000000000000,1,3,3816,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
489,489_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,572.000000000000000000000000000000,1,3,671,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
490,490_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,537.000000000000000000000000000000,1,3,4773,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
491,491_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,756.000000000000000000000000000000,1,3,484,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,3
492,492_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,513.000000000000000000000000000000,1,3,666,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
493,493_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,485.000000000000000000000000000000,4767,3,955,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64
494,494_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,504.000000000000000000000000000000,4193,3,1554,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
495,495_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,497.000000000000000000000000000000,5000,3,1806,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
496,496_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,569.000000000000000000000000000000,1,3,657,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,9
497,497_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,617.000000000000000000000000000000,5000,3,2449,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.024555708208437734829665544112,42
498,498_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,589.000000000000000000000000000000,1,3,2082,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
499,499_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,518.000000000000000000000000000000,4659,3,2870,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.828870423583633164632544776396,41
500,500_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,485.000000000000000000000000000000,3010,3,3229,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,8
501,501_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,553.000000000000000000000000000000,1,3,4419,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
502,502_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,980.000000000000000000000000000000,2876,3,1625,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62
503,503_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,487.000000000000000000000000000000,368,3,716,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,36
504,504_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,497.000000000000000000000000000000,5000,3,4549,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
505,505_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,588.000000000000000000000000000000,1,3,3459,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
506,506_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,522.000000000000000000000000000000,1,3,2758,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
507,507_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,551.000000000000000000000000000000,4450,3,4592,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13
508,508_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,1552.000000000000000000000000000000,5000,3,3265,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
509,509_0,COMPLETED,BoTorch,GenerationStep_1,0.059999999999999997779553950750,851.000000000000000000000000000000,5000,3,4018,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,89
510,510_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,558.000000000000000000000000000000,2150,3,769,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.040616207686961627865152024697,18
511,511_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1029.000000000000000000000000000000,299,3,30,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20
512,512_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,492.000000000000000000000000000000,1499,3,1364,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.714979626979610594084135755111,5
513,513_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,520.000000000000000000000000000000,4210,3,354,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30
514,514_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,845.000000000000000000000000000000,1153,3,532,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43
515,515_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,780.000000000000000000000000000000,5000,3,740,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
516,516_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,533.000000000000000000000000000000,4428,3,261,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,31
517,517_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,524.000000000000000000000000000000,4964,3,3369,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,4
518,518_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,724.000000000000000000000000000000,1463,3,917,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46
519,519_0,FAILED,BoTorch,GenerationStep_1,,,3125,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31
520,520_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,3755.000000000000000000000000000000,2161,3,57,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,45
521,521_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,533.000000000000000000000000000000,2138,3,1720,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,3
522,522_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,695.000000000000000000000000000000,3492,3,1061,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
523,523_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1751.000000000000000000000000000000,1,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
524,524_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,575.000000000000000000000000000000,926,3,1042,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45
525,525_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,519.000000000000000000000000000000,558,3,2970,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,5
526,526_0,FAILED,BoTorch,GenerationStep_1,,,3364,3,12,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,58
527,527_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,757.000000000000000000000000000000,2652,3,1361,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48
528,528_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,549.000000000000000000000000000000,3558,3,475,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28
529,529_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,492.000000000000000000000000000000,4590,3,293,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32
530,530_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,1336.000000000000000000000000000000,4595,3,627,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,58
531,531_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,539.000000000000000000000000000000,3478,3,2722,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.109669911468828415457288372181,3
532,532_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,473.000000000000000000000000000000,597,3,1093,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19
533,533_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,477.000000000000000000000000000000,157,3,1423,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,6
534,534_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,484.000000000000000000000000000000,1398,3,631,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.550071723129787359951592407015,5
535,535_0,COMPLETED,BoTorch,GenerationStep_1,0.100000000000000005551115123126,531.000000000000000000000000000000,653,3,2792,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,3
536,536_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,2119.000000000000000000000000000000,734,3,103,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42
537,537_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,2344.000000000000000000000000000000,4981,3,8,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.967549313666944410528003572836,29
538,538_0,COMPLETED,BoTorch,GenerationStep_1,0.089999999999999996669330926125,606.000000000000000000000000000000,1351,3,1175,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,39
539,539_0,COMPLETED,BoTorch,GenerationStep_1,0.080000000000000001665334536938,514.000000000000000000000000000000,4451,3,959,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,5
540,540_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1995.000000000000000000000000000000,1612,1,1237,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.855663537740707358381087033194,67
541,541_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1477.000000000000000000000000000000,3114,2,2545,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.442674884991720307692020242030,10
542,542_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1365.000000000000000000000000000000,4971,2,1348,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.507017310932278641999459978251,34
543,543_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,1380.000000000000000000000000000000,1005,4,4882,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.171498134840279814472552288862,92
544,544_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1502.000000000000000000000000000000,52,1,3278,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.659391889877617320969704906020,42
545,545_0,FAILED,Sobol,SOBOL,,,4052,4,525,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.011023156460374595316809021028,84
546,546_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1487.000000000000000000000000000000,3411,0,4305,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.944747588431462670399696435197,59
547,547_0,COMPLETED,Sobol,SOBOL,0.059999999999999997779553950750,543.000000000000000000000000000000,1943,3,1904,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.345608473489060985528453784354,16
548,548_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1480.000000000000000000000000000000,2203,2,4054,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.696980742137879083486495801480,49
549,549_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,1170.000000000000000000000000000000,3695,3,2238,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.098336601786315439022168050087,76
550,550_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1455.000000000000000000000000000000,4313,0,3520,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.907151155496016103896295135200,51
551,551_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,2039.000000000000000000000000000000,335,2,181,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.258302668323740380884601108846,25
552,552_0,COMPLETED,Sobol,SOBOL,0.020000000000000000416333634234,2621.000000000000000000000000000000,642,0,1702,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.754839303942397288338383987139,75
553,553_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,552.000000000000000000000000000000,4634,3,4572,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.418840493066236385644174333720,1
554,554_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1472.000000000000000000000000000000,2751,1,874,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.607833924088627131077089416067,27
555,555_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,2408.000000000000000000000000000000,1275,4,2845,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.195340107440948484995857370450,100
556,556_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1363.000000000000000000000000000000,1487,1,2485,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.490225994568318113042693084935,29
557,557_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,2503.000000000000000000000000000000,2538,4,3792,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.839389411918818995061997156881,97
558,558_0,COMPLETED,Sobol,SOBOL,0.020000000000000000416333634234,4822.000000000000000000000000000000,4378,0,90,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.155134763205423964471663111908,71
559,559_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,538.000000000000000000000000000000,898,3,3624,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.554478718331083642034684544342,4
560,560_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1355.000000000000000000000000000000,548,0,4525,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.058129316838458178207105220281,55
561,561_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1372.000000000000000000000000000000,4100,2,1772,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.643623610539361790117141026712,22
562,562_0,FAILED,Sobol,SOBOL,,,3438,2,3047,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.329690051052719368396282106914,47
563,563_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,514.000000000000000000000000000000,2460,3,646,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.991703129827976259669242153905,80
564,564_0,COMPLETED,Sobol,SOBOL,0.020000000000000000416333634234,1609.000000000000000000000000000000,2156,0,2811,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.081928972987458104082492127418,62
565,565_0,COMPLETED,Sobol,SOBOL,0.089999999999999996669330926125,518.000000000000000000000000000000,3199,3,996,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.744421686546877015011602907180,14
566,566_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1623.000000000000000000000000000000,3796,1,4772,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.305898035064339657296272889653,39
567,567_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,2385.000000000000000000000000000000,308,4,1433,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.890897473145276341810472331417,88
568,568_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1456.000000000000000000000000000000,1217,2,459,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.402962520726025119621738213027,37
569,569_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,2428.000000000000000000000000000000,4759,4,3329,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.801811501260846881677935016342,88
570,570_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1376.000000000000000000000000000000,2858,1,2126,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.242405817722901706368077157094,64
571,571_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,546.000000000000000000000000000000,1868,3,4098,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.592048988828435485132217763748,12
572,572_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1705.000000000000000000000000000000,1740,2,3441,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.128539072236046186814562020118,15
573,573_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,3601.000000000000000000000000000000,2908,4,259,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.542026236170902842026464441005,60
574,574_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,2793.000000000000000000000000000000,4787,1,3976,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.477592672966420661584407980627,86
575,575_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1270.000000000000000000000000000000,1112,2,2317,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.812612888943403999242320878693,40
576,576_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1425.000000000000000000000000000000,178,0,796,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.326253735452890381019130927598,91
577,577_0,COMPLETED,Sobol,SOBOL,0.080000000000000001665334536938,688.000000000000000000000000000000,3848,3,2924,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.972174290005117680557589210366,36
578,578_0,COMPLETED,Sobol,SOBOL,0.029999999999999998889776975375,1584.000000000000000000000000000000,3225,1,1623,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.038419637573882940706493371863,11
579,579_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,2089.000000000000000000000000000000,2051,4,4649,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.640006462933495612332990276627,66
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,526.000000000000000000000000000000,3782,3,591,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,570.000000000000000000000000000000,827,3,514,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,588.000000000000000000000000000000,5000,3,656,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,568.000000000000000000000000000000,4971,3,1243,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,588.000000000000000000000000000000,4660,3,621,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,998.000000000000000000000000000000,598,3,790,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.573240707603265398084602111339,57
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1162.000000000000000000000000000000,3359,3,803,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,986.000000000000000000000000000000,3170,3,840,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,706.000000000000000000000000000000,1,3,258,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1522.000000000000000000000000000000,1659,3,934,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1246.000000000000000000000000000000,2310,3,691,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,740.000000000000000000000000000000,5000,3,3680,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
592,127_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,587.000000000000000000000000000000,2337,3,4689,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,6
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,722.000000000000000000000000000000,2271,3,4541,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,51
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,742.000000000000000000000000000000,5000,3,1404,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,579.000000000000000000000000000000,1,3,3217,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,736.000000000000000000000000000000,5000,3,69,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,777.000000000000000000000000000000,3781,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,64
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,532.000000000000000000000000000000,4704,3,1966,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,10
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,539.000000000000000000000000000000,4608,3,902,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,608.000000000000000000000000000000,335,3,550,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,7
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,670.000000000000000000000000000000,1,3,3965,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,891.000000000000000000000000000000,1,3,312,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,572.000000000000000000000000000000,5000,3,2763,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,6
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,608.000000000000000000000000000000,5000,3,4280,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,627.000000000000000000000000000000,931,3,2200,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,743.000000000000000000000000000000,1766,3,3101,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,752.000000000000000000000000000000,4610,3,3156,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,50
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,771.000000000000000000000000000000,5000,3,3810,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,50
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,875.000000000000000000000000000000,4285,3,1965,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,51
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,779.000000000000000000000000000000,5000,3,2631,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,794.000000000000000000000000000000,2738,3,271,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,664.000000000000000000000000000000,2687,3,2765,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,6
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,693.000000000000000000000000000000,1813,3,1697,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,5
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,633.000000000000000000000000000000,1,3,308,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,625.000000000000000000000000000000,5000,3,4526,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,511.000000000000000000000000000000,5000,3,726,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,810.000000000000000000000000000000,1,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,625.000000000000000000000000000000,1,3,4209,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.789785033114604240189748907142,1
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,812.000000000000000000000000000000,1,3,1305,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,4
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1082.000000000000000000000000000000,4315,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,75
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,909.000000000000000000000000000000,922,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,71
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,557.000000000000000000000000000000,1883,3,410,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,5
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,586.000000000000000000000000000000,4860,3,812,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,7
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,602.000000000000000000000000000000,4163,3,682,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,7
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,951.000000000000000000000000000000,1323,3,4423,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1250.000000000000000000000000000000,1,3,823,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,716.000000000000000000000000000000,5000,3,4588,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,644.000000000000000000000000000000,797,3,3775,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1117.000000000000000000000000000000,985,3,2410,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62
631,631_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,619.000000000000000000000000000000,1,3,2874,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,8
632,632_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,631.000000000000000000000000000000,5000,3,3545,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,9
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,561.000000000000000000000000000000,2134,3,4680,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,559.000000000000000000000000000000,3002,3,3330,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,5
635,635_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,807.000000000000000000000000000000,989,3,1473,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,575.000000000000000000000000000000,425,3,690,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,77
637,637_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1058.000000000000000000000000000000,1,3,3364,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,71
638,638_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,662.000000000000000000000000000000,5000,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,563.000000000000000000000000000000,2658,3,2989,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,2430.000000000000000000000000000000,278,3,721,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,76
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,599.000000000000000000000000000000,3118,3,1598,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
642,642_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,625.000000000000000000000000000000,2279,3,2713,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,763.000000000000000000000000000000,184,3,378,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
644,644_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,710.000000000000000000000000000000,3762,3,3138,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,3
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,577.000000000000000000000000000000,3097,3,3912,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,606.000000000000000000000000000000,828,3,2626,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,774.000000000000000000000000000000,1748,3,665,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,979.000000000000000000000000000000,3016,3,703,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,614.000000000000000000000000000000,3416,3,1017,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,79
650,650_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,632.000000000000000000000000000000,3919,3,609,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,607.000000000000000000000000000000,4626,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38
652,652_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,620.000000000000000000000000000000,242,3,907,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,5
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,610.000000000000000000000000000000,5000,3,3220,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,616.000000000000000000000000000000,1,3,415,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,600.000000000000000000000000000000,47,3,1591,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,47
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,660.000000000000000000000000000000,5000,3,730,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,35
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,736.000000000000000000000000000000,5000,3,4947,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,47
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,607.000000000000000000000000000000,1,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
659,659_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,572.000000000000000000000000000000,4212,3,4253,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,535.000000000000000000000000000000,464,3,676,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,49
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,586.000000000000000000000000000000,2461,3,2394,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1112.000000000000000000000000000000,16,3,813,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38
663,663_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,823.000000000000000000000000000000,2350,3,815,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
664,664_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,858.000000000000000000000000000000,4663,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,6
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,617.000000000000000000000000000000,5,3,2150,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,8
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,632.000000000000000000000000000000,1,3,1036,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,722.000000000000000000000000000000,1,3,1715,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,41
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,745.000000000000000000000000000000,5000,3,1134,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,45
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,596.000000000000000000000000000000,2733,3,487,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,629.000000000000000000000000000000,4995,3,1500,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,4
671,671_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,762.000000000000000000000000000000,2343,3,884,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,47
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,525.000000000000000000000000000000,4187,3,3229,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,578.000000000000000000000000000000,2814,3,4100,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,543.000000000000000000000000000000,1,3,2300,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,5
675,675_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,639.000000000000000000000000000000,1996,3,2996,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,563.000000000000000000000000000000,1603,3,4734,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,612.000000000000000000000000000000,4965,3,558,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,6
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,645.000000000000000000000000000000,3742,3,1308,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,7
679,109_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
680,680_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,694.000000000000000000000000000000,1,3,4753,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,807.000000000000000000000000000000,3811,3,2359,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,6
682,682_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,668.000000000000000000000000000000,1379,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,35
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,522.000000000000000000000000000000,388,3,798,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,607.000000000000000000000000000000,1466,3,4863,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.645093633234016361477358714183,1
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,630.000000000000000000000000000000,19,3,2718,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,3
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,618.000000000000000000000000000000,1851,3,3163,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1019.000000000000000000000000000000,3999,3,2851,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67
688,688_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,683.000000000000000000000000000000,5000,3,357,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,616.000000000000000000000000000000,7,3,4355,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,7
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,556.000000000000000000000000000000,3707,3,663,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,618.000000000000000000000000000000,3272,3,895,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,5
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,626.000000000000000000000000000000,1,3,610,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86
694,694_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,888.000000000000000000000000000000,5000,3,1540,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,602.000000000000000000000000000000,505,3,4116,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,33
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,536.000000000000000000000000000000,4650,3,3640,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,4
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,632.000000000000000000000000000000,5000,3,764,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.210692338598514744552048227888,1
698,698_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,599.000000000000000000000000000000,2728,3,4455,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,635.000000000000000000000000000000,1958,3,2604,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,591.000000000000000000000000000000,3368,3,3766,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
701,701_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,761.000000000000000000000000000000,3946,3,2027,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
702,702_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,881.000000000000000000000000000000,3505,3,3892,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,553.000000000000000000000000000000,5000,3,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31
704,704_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,585.000000000000000000000000000000,2325,3,608,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,738.000000000000000000000000000000,600,3,361,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.488172382416580619146628805538,29
706,706_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,605.000000000000000000000000000000,1379,3,4649,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,612.000000000000000000000000000000,1038,3,3238,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
708,708_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,641.000000000000000000000000000000,5000,3,3005,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
709,709_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,574.000000000000000000000000000000,1,3,934,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,45
710,710_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,718.000000000000000000000000000000,2814,3,753,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.174405652474579286881350981275,37
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,500.000000000000000000000000000000,2427,3,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28
712,712_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,725.000000000000000000000000000000,3209,3,3664,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,636.000000000000000000000000000000,509,3,805,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18
714,714_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,820.000000000000000000000000000000,3231,3,2404,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,615.000000000000000000000000000000,113,3,601,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.270853925095433434311331666322,22
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,611.000000000000000000000000000000,5000,3,2749,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,595.000000000000000000000000000000,1155,3,4563,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29
718,718_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,517.000000000000000000000000000000,4248,3,4655,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,514.000000000000000000000000000000,1,3,888,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,80
720,720_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,576.000000000000000000000000000000,1757,3,1741,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,44
721,721_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,590.000000000000000000000000000000,4088,3,1577,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,494.000000000000000000000000000000,5000,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
723,723_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1049.000000000000000000000000000000,1969,3,2074,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,59
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,712.000000000000000000000000000000,5000,3,777,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,666.000000000000000000000000000000,30,3,2817,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,526.000000000000000000000000000000,4762,3,748,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.571795542709905624256805367622,22
727,727_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,855.000000000000000000000000000000,3264,3,3533,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,68
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,583.000000000000000000000000000000,1,3,1205,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,575.000000000000000000000000000000,1,3,354,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,27
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,561.000000000000000000000000000000,212,3,340,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,553.000000000000000000000000000000,624,3,1439,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,664.000000000000000000000000000000,2375,3,530,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,590.000000000000000000000000000000,4849,3,1222,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,35
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,663.000000000000000000000000000000,3292,3,1373,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,35
735,735_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,493.000000000000000000000000000000,2428,3,565,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29
736,736_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,611.000000000000000000000000000000,4175,3,471,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32
737,737_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,518.000000000000000000000000000000,2369,3,668,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
738,738_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,526.000000000000000000000000000000,1,3,4432,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22
739,739_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,575.000000000000000000000000000000,2859,3,1130,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,605.000000000000000000000000000000,3753,3,838,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,89
741,741_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1290.000000000000000000000000000000,5000,3,2008,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,69
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,605.000000000000000000000000000000,2107,3,763,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,60
743,743_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,749.000000000000000000000000000000,2569,3,864,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,66
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,811.000000000000000000000000000000,1,3,3541,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31
745,745_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,758.000000000000000000000000000000,1,3,3075,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55
746,746_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,868.000000000000000000000000000000,3420,3,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57
747,747_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,569.000000000000000000000000000000,4881,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56
748,748_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,578.000000000000000000000000000000,1,3,1443,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1652.000000000000000000000000000000,1,3,1257,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,69
750,750_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,666.000000000000000000000000000000,4682,3,1867,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,56
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,529.000000000000000000000000000000,5000,3,1631,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22
752,752_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,599.000000000000000000000000000000,1,3,1481,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47
753,753_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,612.000000000000000000000000000000,1940,3,1003,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55
754,754_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.040000000000000000832667268469,1494.000000000000000000000000000000,3875,4,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,36
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,732.000000000000000000000000000000,5000,3,664,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,25
756,756_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.040000000000000000832667268469,1307.000000000000000000000000000000,2170,4,3818,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,559.000000000000000000000000000000,1,3,870,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,83
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,538.000000000000000000000000000000,4190,3,3232,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26
759,759_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,638.000000000000000000000000000000,2433,3,373,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.739315335699960329840507711197,1
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,997.000000000000000000000000000000,1674,3,575,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,53
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,959.000000000000000000000000000000,131,3,591,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,628.000000000000000000000000000000,725,3,893,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26
763,763_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,594.000000000000000000000000000000,31,3,892,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20
764,764_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,531.000000000000000000000000000000,3262,3,4789,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18
765,765_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,550.000000000000000000000000000000,497,3,662,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13
766,766_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,624.000000000000000000000000000000,2811,3,1782,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74
767,767_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,582.000000000000000000000000000000,1134,3,4535,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29
768,768_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,535.000000000000000000000000000000,2628,3,700,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,39
769,769_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
770,770_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.029999999999999998889776975375,1424.000000000000000000000000000000,1,0,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
771,771_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,793.000000000000000000000000000000,2525,3,554,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30
772,772_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,781.000000000000000000000000000000,4851,3,860,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71
773,773_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.029999999999999998889776975375,1387.000000000000000000000000000000,1,1,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100
774,109_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
775,775_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,519.000000000000000000000000000000,42,3,2106,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.354069378731964479189997518915,4
776,776_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,641.000000000000000000000000000000,4313,3,1273,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,66
777,777_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,543.000000000000000000000000000000,3847,3,4007,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23
778,778_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,597.000000000000000000000000000000,1330,3,4852,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.759556625995227441272561463848,7
779,779_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,648.000000000000000000000000000000,620,3,957,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,69
780,780_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,629.000000000000000000000000000000,1765,3,955,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,91
781,781_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,715.000000000000000000000000000000,3540,3,3593,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,3
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,672.000000000000000000000000000000,4665,3,1025,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34
783,783_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,558.000000000000000000000000000000,4539,3,4862,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,7
784,784_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,657.000000000000000000000000000000,2526,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
785,785_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,737.000000000000000000000000000000,5000,3,1020,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
786,786_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,664.000000000000000000000000000000,4437,3,4235,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5
787,787_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,619.000000000000000000000000000000,1,3,2294,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32
788,788_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,581.000000000000000000000000000000,1,3,889,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,47
789,789_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,554.000000000000000000000000000000,1,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,8
790,790_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,540.000000000000000000000000000000,2265,3,3906,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
791,791_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,577.000000000000000000000000000000,1366,3,4254,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,7
792,792_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,708.000000000000000000000000000000,4040,3,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,57
793,793_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,551.000000000000000000000000000000,331,3,1814,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32
794,794_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,514.000000000000000000000000000000,897,3,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16
795,795_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,614.000000000000000000000000000000,5000,3,4162,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
796,796_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,637.000000000000000000000000000000,2350,3,1674,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
797,797_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,759.000000000000000000000000000000,2413,3,4519,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,56
798,798_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,710.000000000000000000000000000000,116,3,4983,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,12
799,799_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,625.000000000000000000000000000000,2352,3,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83
800,800_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1071.000000000000000000000000000000,4740,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,74
801,801_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,778.000000000000000000000000000000,1,3,617,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
802,802_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,532.000000000000000000000000000000,3016,3,2044,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
803,803_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,617.000000000000000000000000000000,2497,3,2539,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,4
804,804_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,870.000000000000000000000000000000,3549,3,1644,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46
805,805_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,576.000000000000000000000000000000,4664,3,483,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37
806,806_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,690.000000000000000000000000000000,2346,3,448,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24
807,807_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,620.000000000000000000000000000000,1,3,3475,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
808,808_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,613.000000000000000000000000000000,2541,3,4415,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
809,809_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,623.000000000000000000000000000000,3090,3,2555,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
810,810_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,688.000000000000000000000000000000,2165,3,4012,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,628.000000000000000000000000000000,2664,3,3012,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,4
812,812_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,841.000000000000000000000000000000,5000,3,2078,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
813,813_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,749.000000000000000000000000000000,1,3,260,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,28
814,814_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,783.000000000000000000000000000000,226,3,1931,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55
815,815_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,756.000000000000000000000000000000,1922,3,1658,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.631020902505066927368204687809,1
816,816_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,654.000000000000000000000000000000,4353,3,1429,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,41
817,817_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,689.000000000000000000000000000000,1942,3,829,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
818,818_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,548.000000000000000000000000000000,3906,3,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,9
819,819_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,609.000000000000000000000000000000,247,3,1700,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22
820,820_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,3299.000000000000000000000000000000,5000,3,1971,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,628.000000000000000000000000000000,3885,3,1469,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.576177754184369561585299379658,59
822,822_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,641.000000000000000000000000000000,361,3,3066,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,552.000000000000000000000000000000,5000,3,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
824,824_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,901.000000000000000000000000000000,4975,3,3457,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,66
825,825_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,817.000000000000000000000000000000,1,3,4738,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,71
826,826_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,705.000000000000000000000000000000,5000,3,3437,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
827,827_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,735.000000000000000000000000000000,2333,3,4704,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100
828,828_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,610.000000000000000000000000000000,1584,3,4805,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43
829,829_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,623.000000000000000000000000000000,4579,3,1995,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5
830,830_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,531.000000000000000000000000000000,3869,3,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89
831,831_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,578.000000000000000000000000000000,2750,3,2562,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
832,832_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,726.000000000000000000000000000000,4629,3,736,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39
833,833_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,589.000000000000000000000000000000,4281,3,3967,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,37
834,834_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3151,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.327512097190816531266932543076,1
835,835_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,636.000000000000000000000000000000,2427,3,3385,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,42
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,826.000000000000000000000000000000,1,3,870,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,63
837,837_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,737.000000000000000000000000000000,3406,3,2863,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5
838,838_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,557.000000000000000000000000000000,1757,3,4699,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19
839,839_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.059999999999999997779553950750,471.000000000000000000000000000000,5000,3,4945,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
840,840_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,589.000000000000000000000000000000,4845,3,3492,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,7
841,841_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,620.000000000000000000000000000000,1,3,1494,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,8
842,842_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,512.000000000000000000000000000000,364,3,4795,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45
843,843_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,551.000000000000000000000000000000,348,3,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,68
844,844_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,517.000000000000000000000000000000,31,3,4531,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64
845,845_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,653.000000000000000000000000000000,3313,3,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,38
846,846_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,928.000000000000000000000000000000,1938,3,4379,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76
847,847_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,835.000000000000000000000000000000,794,3,2899,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,64
848,848_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,507.000000000000000000000000000000,5000,3,4545,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.712785919384833044354365938489,80
849,849_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,557.000000000000000000000000000000,4063,3,4814,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,79
850,850_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1067.000000000000000000000000000000,3335,3,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,87
851,851_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,638.000000000000000000000000000000,5000,3,1987,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27
852,852_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,637.000000000000000000000000000000,552,3,1636,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34
853,853_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,562.000000000000000000000000000000,4994,3,732,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16
854,854_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,737.000000000000000000000000000000,240,3,4703,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,8
855,855_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,808.000000000000000000000000000000,1,3,1823,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55
856,856_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,535.000000000000000000000000000000,4763,3,4942,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31
857,857_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,793.000000000000000000000000000000,4412,3,1600,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,58
858,858_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1
859,859_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,670.000000000000000000000000000000,1911,3,3685,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
860,860_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,934.000000000000000000000000000000,5000,3,4594,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,68
861,861_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,672.000000000000000000000000000000,4196,3,4350,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,7
862,862_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,554.000000000000000000000000000000,77,3,376,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17
863,863_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,674.000000000000000000000000000000,2113,3,1000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,36
864,864_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,756.000000000000000000000000000000,5000,3,1091,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
865,865_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,518.000000000000000000000000000000,750,3,3064,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5
866,866_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,686.000000000000000000000000000000,765,3,987,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,6
867,867_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100
868,868_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,1426.000000000000000000000000000000,4207,3,3227,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,81
869,869_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,617.000000000000000000000000000000,2261,3,1844,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,4
870,870_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,1525.000000000000000000000000000000,1,3,2554,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,79
871,871_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.070000000000000006661338147751,551.000000000000000000000000000000,5000,3,1609,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
872,872_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,606.000000000000000000000000000000,199,3,869,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100
873,873_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,622.000000000000000000000000000000,2850,3,612,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
874,874_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,637.000000000000000000000000000000,1970,3,2155,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
875,875_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,588.000000000000000000000000000000,1,3,1139,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1
876,876_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,594.000000000000000000000000000000,2704,3,993,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1
877,877_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,703.000000000000000000000000000000,4525,3,2365,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,49
878,878_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,969.000000000000000000000000000000,5000,3,475,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,43
879,879_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.080000000000000001665334536938,712.000000000000000000000000000000,2467,3,4065,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55
880,880_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,643.000000000000000000000000000000,5000,3,425,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1
881,881_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,681.000000000000000000000000000000,3888,3,3051,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,3
882,882_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1568,3,1736,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34
</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 4622686 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4622686/4622686_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_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4622686/4622686_0_log.out
----------------------------------------
submitit INFO (2025-04-23 13:11:14,787) - Starting with JobEnvironment(job_id=4622686, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-23 13:11:14,790) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4622686/4622686_submitted.pkl
slurmstepd: error: *** JOB 4622686 ON i7182 CANCELLED AT 2025-04-23T15:11:25 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4622686/4622686_0_log.err not found

Job SlurmJob&lt;job_id=4630234, 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=4630234, 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 4630234 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4630234/4630234_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_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4630234/4630234_0_log.out


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4630234/4630234_0_log.out not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4630234/4630234_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4641798/4641798_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4674666/4674666_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4677861/4677861_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4711731/4711731_0_log.err not found


⚠ Job 4709645 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709645/4709645_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_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709645/4709645_0_log.out
----------------------------------------
submitit INFO (2025-04-25 02:27:30,893) - Starting with JobEnvironment(job_id=4709645, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-25 02:27:30,902) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709645/4709645_submitted.pkl
slurmstepd: error: *** JOB 4709645 ON i7183 CANCELLED AT 2025-04-25T04:27:36 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4709645.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4709645/4709645_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4738491/4738491_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4752154/4752154_0_log.err not found


⚠ Job 4757164 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757164/4757164_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_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757164/4757164_0_log.out
----------------------------------------
submitit INFO (2025-04-26 08:36:14,377) - Starting with JobEnvironment(job_id=4757164, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-26 08:36:14,380) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757164/4757164_submitted.pkl
slurmstepd: error: *** JOB 4757164 ON i7183 CANCELLED AT 2025-04-26T10:36:39 DUE TO TIME LIMIT ***
slurmstepd: error: Detected 1 oom_kill event in StepId=4757164.batch. Some of the step tasks have been OOM Killed.



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4757164/4757164_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>50000                                                                                                                            </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_SensorStream_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>120                                                                                                                              </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                            </td></tr><tr><td> time</td><td></td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None                                                                                                                             </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                            </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                                </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                                </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                                </td></tr><tr><td> account</td><td>None                                                                                                                             </td></tr><tr><td> gpus</td><td>0                                                                                                                                </td></tr><tr><td> run_mode</td><td>local                                                                                                                            </td></tr><tr><td> verbose</td><td>False                                                                                                                            </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                            </td></tr><tr><td> debug</td><td>False                                                                                                                            </td></tr><tr><td> no_sleep</td><td>False                                                                                                                            </td></tr><tr><td> tests</td><td>False                                                                                                                            </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                            </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                            </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                            </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                            </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                            </td></tr></tbody></table>
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
<pre id="pre_tab_worker_usage">1745406469.5664055,20,0,0
1745406479.1034632,20,0,0
1745406480.1390345,20,0,0
1745406480.3367524,20,0,0
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1745406488.5545137,20,1,5
1745406490.097432,20,2,10
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1745406498.7214954,20,2,10
1745406500.0748186,20,3,15
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1745406525.6886253,20,4,20
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1745406527.3016903,20,5,25
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1745611810.344464,20,1,5
1745611823.0804913,20,1,5
1745611835.8455334,20,1,5
1745611848.1644266,20,1,5
1745611860.96104,20,1,5
1745611873.24722,20,1,5
1745611886.0236163,20,1,5
1745611898.340062,20,1,5
1745611911.0861158,20,1,5
1745611923.4632254,20,1,5
1745611936.2354343,20,1,5
1745611948.9131455,20,1,5
1745611961.7015676,20,1,5
1745611974.045478,20,1,5
1745611986.824703,20,1,5
1745611999.1959875,20,1,5
1745612011.9593515,20,1,5
1745612024.2632914,20,1,5
1745612037.0838592,20,1,5
1745612049.4695415,20,1,5
1745612062.3262365,20,1,5
1745612074.6925535,20,1,5
1745612087.0608149,20,1,5
1745612099.9028091,20,1,5
1745612105.304176,20,1,5
1745612113.3854842,20,0,0
1745612125.362279,20,0,0
1745613353.6006727,20,0,0
1745613353.7974925,20,0,0
1745613355.161526,20,1,5
1745613362.867508,20,1,5
1745614479.876051,20,1,5
1745614480.1661258,20,1,5
1745614481.5915642,20,2,10
1745614482.0527287,20,2,10
1745614494.1078796,20,1,5
1745614494.2838619,20,1,5
1745615933.0699792,20,1,5
1745615933.392705,20,1,5
1745615935.0006504,20,2,10
1745615935.4465017,20,2,10
1745615948.001563,20,1,5
1745615948.1662557,20,1,5
1745617334.9880476,20,1,5
1745617335.296359,20,1,5
1745617336.997357,20,2,10
1745617337.4410062,20,2,10
1745617349.5897644,20,1,5
1745617349.8671734,20,1,5
1745618640.2648156,20,1,5
1745618640.5839708,20,1,5
1745618642.0052516,20,2,10
1745618642.4551902,20,2,10
1745618655.1515765,20,1,5
1745618655.3348677,20,1,5
1745620058.2837026,20,1,5
1745620058.999506,20,1,5
1745620060.4121172,20,2,10
1745620060.9727976,20,2,10
1745620073.6864474,20,1,5
1745620073.8501804,20,1,5
1745621247.9370525,20,1,5
1745621248.2286897,20,1,5
1745621250.027807,20,2,10
1745621250.498531,20,2,10
1745621262.6956124,20,1,5
1745621262.8672383,20,1,5
1745622670.9837267,20,1,5
1745622671.2546213,20,1,5
1745622672.9257174,20,2,10
1745622673.3521566,20,2,10
1745622685.6785045,20,1,5
1745622685.8590388,20,1,5
1745623922.6166928,20,1,5
1745623922.960587,20,1,5
1745623924.9782567,20,2,10
1745623925.4475968,20,2,10
1745623937.7619987,20,1,5
1745623937.9276197,20,1,5
1745625278.0250738,20,1,5
1745625278.3584738,20,1,5
1745625279.9963558,20,2,10
1745625280.4606907,20,2,10
1745625292.8260536,20,1,5
1745625292.993389,20,1,5
1745626816.6864514,20,1,5
1745626816.9678452,20,1,5
1745626818.39979,20,2,10
1745626818.8941169,20,2,10
1745626831.1543248,20,1,5
1745626831.3195658,20,1,5
1745627957.8722847,20,1,5
1745627958.1483223,20,1,5
1745627959.555,20,2,10
1745627960.0117955,20,2,10
1745627973.5660048,20,1,5
1745627973.8530734,20,1,5
1745629344.2016885,20,1,5
1745629344.4817765,20,1,5
1745629346.000675,20,2,10
1745629346.4656675,20,2,10
1745629358.849417,20,1,5
1745629359.0139542,20,1,5
1745630592.8096566,20,1,5
1745630593.1059172,20,1,5
1745630594.4800813,20,2,10
1745630594.930514,20,2,10
1745630607.4017713,20,1,5
1745630607.8294668,20,1,5
1745631761.5411367,20,1,5
1745631761.9492176,20,1,5
1745631763.38732,20,2,10
1745631763.8455288,20,2,10
1745631776.71365,20,1,5
1745631776.895493,20,1,5
1745633064.4358528,20,1,5
1745633064.949364,20,1,5
1745633066.2854357,20,2,10
1745633066.724665,20,2,10
1745633079.12541,20,1,5
1745633079.3053987,20,1,5
1745634159.1410992,20,1,5
1745634159.4322152,20,1,5
1745634161.0035589,20,2,10
1745634161.4430625,20,2,10
1745634173.9354641,20,1,5
1745634174.1011045,20,1,5
1745635512.4079719,20,1,5
1745635513.010876,20,1,5
1745635514.4507973,20,2,10
1745635514.955586,20,2,10
1745635527.460577,20,1,5
1745635527.855079,20,1,5
1745636637.108415,20,1,5
1745636638.1013584,20,1,5
1745636639.90728,20,2,10
1745636640.3962977,20,2,10
1745636653.3056574,20,1,5
1745636653.3848212,20,1,5
1745637908.837309,20,1,5
1745637909.1193419,20,1,5
1745637910.5322385,20,2,10
1745637910.7575138,20,2,10
1745637924.290904,20,1,5
1745637924.5154092,20,1,5
1745637933.5814815,20,1,5
1745637946.8936746,20,1,5
1745637959.5168645,20,1,5
1745637972.1252713,20,1,5
1745637984.906276,20,1,5
1745637998.0874357,20,1,5
1745638010.723473,20,1,5
1745638023.293325,20,1,5
1745638035.895081,20,1,5
1745638049.120747,20,1,5
1745638061.8882189,20,1,5
1745638074.502077,20,1,5
1745638087.1293507,20,1,5
1745638099.7662823,20,1,5
1745638112.982973,20,1,5
1745638125.6552143,20,1,5
1745638138.3371692,20,1,5
1745638150.9450228,20,1,5
1745638163.5664341,20,1,5
1745638176.2157161,20,1,5
1745638189.469623,20,1,5
1745638202.1771228,20,1,5
1745638214.9337397,20,1,5
1745638227.5948303,20,1,5
1745638240.2333658,20,1,5
1745638253.526526,20,1,5
1745638266.1583617,20,1,5
1745638278.817238,20,1,5
1745638291.513288,20,1,5
1745638304.1580622,20,1,5
1745638316.870425,20,1,5
1745638330.1421638,20,1,5
1745638342.8212986,20,1,5
1745638355.4914572,20,1,5
1745638368.1554863,20,1,5
1745638380.8275454,20,1,5
1745638393.5016475,20,1,5
1745638406.2310185,20,1,5
1745638419.5214126,20,1,5
1745638432.203486,20,1,5
1745638444.8856132,20,1,5
1745638457.6598325,20,1,5
1745638470.3536167,20,1,5
1745638483.0022216,20,1,5
1745638495.654654,20,1,5
1745638508.3042293,20,1,5
1745638521.8956208,20,1,5
1745638534.6440601,20,1,5
1745638547.3984601,20,1,5
1745638560.0905433,20,1,5
1745638572.8051832,20,1,5
1745638585.5176384,20,1,5
1745638598.235481,20,1,5
1745638611.0123746,20,1,5
1745638616.414334,20,1,5
1745638625.5676475,20,0,0
1745638637.3121405,20,0,0
1745640087.045657,20,0,0
1745640087.2297106,20,0,0
1745640088.9546552,20,1,5
1745640096.8726234,20,1,5
1745641177.2857368,20,1,5
1745641177.622368,20,1,5
1745641179.0175092,20,2,10
1745641179.484806,20,2,10
1745641192.388127,20,1,5
1745641192.8332222,20,1,5
1745642564.2074823,20,1,5
1745642564.6125836,20,1,5
1745642566.071159,20,2,10
1745642566.5314837,20,2,10
1745642579.4152858,20,1,5
1745642579.8335812,20,1,5
1745644097.0864735,20,1,5
1745644097.387758,20,1,5
1745644099.0461721,20,2,10
1745644099.5244265,20,2,10
1745644112.4587557,20,1,5
1745644112.846872,20,1,5
1745645558.129598,20,1,5
1745645558.3855875,20,1,5
1745645559.995765,20,2,10
1745645560.4306805,20,2,10
1745645573.5010638,20,1,5
1745645573.8596945,20,1,5
1745646596.6833582,20,1,5
1745646596.955755,20,1,5
1745646598.3241448,20,2,10
1745646598.7841158,20,2,10
1745646611.6134684,20,1,5
1745646611.853655,20,1,5
1745648124.00569,20,1,5
1745648124.2949185,20,1,5
1745648126.0312774,20,2,10
1745648126.5147884,20,2,10
1745648139.5080068,20,1,5
1745648139.8674242,20,1,5
1745649367.6758235,20,1,5
1745649368.0427868,20,1,5
1745649369.4267902,20,2,10
1745649369.8846645,20,2,10
1745649382.818895,20,1,5
1745649382.9870338,20,1,5
1745650825.3150344,20,1,5
1745650825.716158,20,1,5
1745650827.0726452,20,2,10
1745650839.7952468,20,2,10
1745651806.1867971,20,2,10
1745651806.4581327,20,2,10
1745651807.972811,20,3,15
1745651823.8318698,20,3,15
1745652902.1527975,20,3,15
1745652902.4395773,20,3,15
1745652904.0417829,20,4,20
1745652908.2512746,20,4,20
1745652914.046165,20,3,15
1745652926.8504918,20,2,10
1745652927.0055919,20,2,10
1745654204.8166137,20,2,10
1745654205.0808094,20,2,10
1745654206.3960462,20,3,15
1745654221.993901,20,3,15
1745655175.5015259,20,3,15
1745655175.9296656,20,3,15
1745655177.2789993,20,4,20
1745655182.6643126,20,4,20
1745655188.158277,20,3,15
1745655200.5065186,20,2,10
1745655200.5734513,20,2,10
1745656321.6367135,20,2,10
1745656321.9303997,20,2,10
1745656323.2848752,20,3,15
1745656327.2997491,20,3,15
1745656340.5090961,20,2,10
1745656340.588737,20,2,10
1745657762.5265121,20,2,10
1745657762.9828527,20,2,10
1745657764.963808,20,3,15
1745657780.4576466,20,3,15
1745657786.5706,20,2,10
1745657798.7424517,20,1,5
1745657798.915387,20,1,5
1745659003.055692,20,1,5
1745659003.3212225,20,1,5
1745659004.9995282,20,2,10
1745659005.4268007,20,2,10
1745659017.7764385,20,1,5
1745659017.9898088,20,1,5
1745660003.947569,20,1,5
1745660004.2495084,20,1,5
1745660005.8916383,20,2,10
1745660006.3413608,20,2,10
1745660018.76683,20,1,5
1745660018.9369304,20,1,5
1745661111.9065318,20,1,5
1745661112.227301,20,1,5
1745661113.9282982,20,2,10
1745661114.363793,20,2,10
1745661127.628109,20,1,5
1745661127.8599799,20,1,5
1745662158.4467793,20,1,5
1745662158.9652228,20,1,5
1745662160.3225462,20,2,10
1745662160.8006976,20,2,10
1745662174.0170813,20,1,5
1745662174.1877716,20,1,5
1745663327.2101634,20,1,5
1745663327.508813,20,1,5
1745663328.994429,20,2,10
1745663329.4138765,20,2,10
1745663342.631369,20,1,5
1745663342.9196339,20,1,5
</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
1745406469,648.68359375,11.5
1745406469,648.68359375,8.6
1745406469,648.73828125,9.0
1745406469,648.73828125,9.8
1745406469,648.73828125,8.6
1745406469,648.73828125,8.1
1745406469,648.73828125,8.2
1745407187,716.90234375,18.6
1745407187,716.90234375,11.4
1745407187,716.90234375,16.1
1745407187,716.90234375,15.4
1745415130,763.61328125,10.8
1745415130,763.61328125,1.4
1745415130,763.61328125,1.4
1745415130,763.61328125,5.6
1745427019,978.36328125,1.9
1745427019,978.36328125,1.4
1745427019,978.36328125,1.6
1745427019,978.36328125,2.9
1745437188,1020.69140625,2.1
1745437188,1020.69140625,1.2
1745437189,1020.69140625,1.3
1745437189,1020.69140625,4.2
1745446614,991.984375,2.1
1745446614,991.984375,1.3
1745446614,991.984375,1.4
1745458071,997.1953125,2.2
1745458071,997.1953125,1.8
1745458071,997.1953125,1.9
1745458071,997.1953125,1.7
1745469116,1034.6796875,2.2
1745469116,1034.6796875,1.7
1745469117,1034.6796875,1.9
1745469117,1034.6796875,1.8
1745479890,1071.9765625,2.2
1745479890,1071.9765625,1.9
1745479890,1071.9765625,1.7
1745494826,1065.3515625,2.3
1745494826,1065.3515625,1.9
1745494826,1065.3515625,1.8
1745494826,1065.3515625,2.0
1745515375,1074.77734375,2.3
1745515375,1074.77734375,1.8
1745515375,1074.77734375,1.7
1745532755,1122.765625,2.3
1745532755,1122.765625,1.9
1745532755,1122.765625,2.0
1745532755,1122.765625,4.3
1745549634,1204.91015625,2.3
1745549634,1204.91015625,1.6
1745549634,1204.91015625,1.8
1745549634,1204.91015625,2.4
1745569537,1171.9921875,2.3
1745569537,1171.9921875,1.6
1745569537,1171.9921875,1.8
1745569537,1171.9921875,3.9
1745587300,1212.29296875,2.3
1745587300,1212.29296875,1.9
1745587300,1212.29296875,1.8
1745611369,1243.234375,2.4
1745611369,1243.234375,2.3
1745611369,1243.234375,1.8
1745611369,1243.234375,2.9
1745637933,1233.59375,2.4
1745637933,1233.59375,1.3
1745637933,1233.59375,1.8
1745637933,1233.59375,2.1
1745663352,1262.84375,2.4
1745663352,1262.84375,1.5
1745663352,1262.84375,1.5
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;Heatmap</h1>
			<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
			    <h1>Correlation Heatmap Explanation</h1>
			
			    <p>
			        This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
			    </p>
			
			    <h2>How It Works</h2>
			    <p>
			        The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
			    </p>
			    <ul>
			        <li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
			        <li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
			        <li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
			    </ul>
			
			    <h2>Color Scale: Yellow to Purple (Viridis)</h2>
			    <p>
			        The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
			    </p>
			    <ul>
			        <li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
			        <li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
			        <li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
			        <li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
			    </ul>
			
			    <h2>What the Heatmap Shows</h2>
			    <p>
			        In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
			    </p>
			
			<h1>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
			<h1>&nbsp;Exit-Codes</h1>
			<div class="invert_in_dark_mode" id="plotExitCodesPieChart"></div>
	</body>
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