Experiment overview:

Experiment parameters:

Number of evaluations

Result names and types

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trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,batch_size,divergence,detect_batch,statistic,significance,subsets,feature_id
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,8.000000000000000000000000000000,4360,2004,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.419973975956439982137879951551,76,23
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1633,3167,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.620865220913663473645272006252,21,23
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.280000000000000026645352591004,7.000000000000000000000000000000,1176,453,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.871640210360288603119727213198,55,23
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3450,4134,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.169312226330861459455690010145,50,23
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2513,1225,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.313960019920021315975589004665,68,23
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,236,4884,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.641307108262553771105274336151,38,23
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1946,1545,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.891476506233215282293258496793,88,23
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4669,2730,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.063667832856997855217606741007,8,23
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.289999999999999980015985556747,11.000000000000000000000000000000,4765,302,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.246861492475494742615538257269,71,23
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2486,3981,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.793982933536171886501620065246,28,23
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,11.000000000000000000000000000000,331,2477,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.543818026715889524247415920399,97,23
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3052,3643,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.497158706057816757173384303314,5,23
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,7.000000000000000000000000000000,3369,1706,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.017305129816755651650517222606,86,23
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,641,2889,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.937945346161723092492934483744,18,23
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.239999999999999991118215802999,5.000000000000000000000000000000,1553,761,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.687167769098654401815906567208,59,23
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3825,4422,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.267963747162371868082431092262,41,23
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.220000000000000001110223024625,5.000000000000000000000000000000,3919,910,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.988281207844614928426096867042,24,23
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,7.000000000000000000000000000000,1333,4574,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.036940796187147496854041861525,79,23
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,852,1859,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.287235838551074262881002141512,47,23
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3266,3040,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.738114665174856798834923665709,53,23
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2950,2319,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.774832668319344497476208744047,34,23
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,540,3477,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.196036422571167351369680886819,65,23
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.309999999999999997779553950750,6.000000000000000000000000000000,2267,138,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.446701018203049915467062191965,11,23
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,4857,3824,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.524060534173622749598564496409,92,23
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4459,1396,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.660473077634349481357389777259,31,23
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,6.000000000000000000000000000000,2050,2574,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.364800793979316972936999263766,74,23
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.250000000000000000000000000000,6.000000000000000000000000000000,142,1071,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.114141224866732948761693933193,2,23
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,9.000000000000000000000000000000,2733,4737,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.911249702930450489191116503207,95,23
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.260000000000000008881784197001,5.000000000000000000000000000000,3669,612,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.570513655075803427507707965560,14,23
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1084,4295,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.400322596136480579609440155764,82,23
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,23
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,9.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,23
32,32_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,23
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,21.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19,23
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,23
35,35_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36,23
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,9.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,23
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,11.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,23
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,23
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,23
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,16.000000000000000000000000000000,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,23
41,41_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,35,23
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,23
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,23
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,23
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,23
46,46_0,FAILED,BoTorch,GenerationStep_1,,,3281,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37,23
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,544,147,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78,23
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,9.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,23
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,23
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14,23
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,9.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,23
52,52_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,23
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,40,23
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3086,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,23
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,21.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19,23
56,56_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,23
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,995,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,23
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,24.000000000000000000000000000000,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,23
59,59_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,23
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,161,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,85,23
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,11.000000000000000000000000000000,1,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,42,23
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,6.000000000000000000000000000000,4495,458,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,9,23
63,63_0,FAILED,BoTorch,GenerationStep_1,,,536,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,84,23
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,918,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43,23
65,65_0,FAILED,BoTorch,GenerationStep_1,,,1399,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39,23
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,3225,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,57,23
67,67_0,FAILED,BoTorch,GenerationStep_1,,,1856,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,47,23
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,658,558,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,23
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1807,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,81,23
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,5.000000000000000000000000000000,4647,417,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,8,23
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,11.000000000000000000000000000000,777,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40,23
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,2637,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,23
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,2231,335,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,23
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,6.000000000000000000000000000000,3969,303,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,85,23
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,4578,658,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,10,23
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1822,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,88,23
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,11.000000000000000000000000000000,3349,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61,23
78,78_0,FAILED,BoTorch,GenerationStep_1,,,1915,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,88,23
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,1,482,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,23
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1438,677,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,10,23
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,485,971,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14,23
82,82_0,FAILED,BoTorch,GenerationStep_1,,,2428,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,59,23
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,2860,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,8,23
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,17.000000000000000000000000000000,3029,254,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,84,23
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1105,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,36,23
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,7.000000000000000000000000000000,631,229,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,46,23
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,3156,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,60,23
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,14.000000000000000000000000000000,74,486,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,92,23
89,89_0,FAILED,BoTorch,GenerationStep_1,,,2991,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,23
90,90_0,FAILED,BoTorch,GenerationStep_1,,,2416,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,23
91,91_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,23
92,92_0,FAILED,BoTorch,GenerationStep_1,,,3860,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,28,23
93,93_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,23
94,94_0,FAILED,BoTorch,GenerationStep_1,,,3455,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,23
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4991,1937,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,2,23
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,6.000000000000000000000000000000,5000,428,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,23
97,97_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,52,23
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3257,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,40,23
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,246,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,23
100,100_0,FAILED,BoTorch,GenerationStep_1,,,4325,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27,23
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3213,4774,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,73,23
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2397,629,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48,23
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3728,2429,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,23
104,104_0,FAILED,BoTorch,GenerationStep_1,,,1915,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36,23
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4380,2104,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,23
106,106_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24,23
107,107_0,FAILED,BoTorch,GenerationStep_1,,,4212,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50,23
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,7.000000000000000000000000000000,5000,277,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,50,23
109,109_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,23
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,8.000000000000000000000000000000,5000,445,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,23
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,5.000000000000000000000000000000,5000,802,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,23
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,7.000000000000000000000000000000,4783,329,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,30,23
113,113_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,23
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2613,3644,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,23
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1533,1001,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,23
116,116_0,FAILED,BoTorch,GenerationStep_1,,,535,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25,23
117,117_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,23
118,118_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,23
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,27,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,62,23
120,120_0,FAILED,BoTorch,GenerationStep_1,,,3615,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43,23
121,121_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,23
122,122_0,FAILED,BoTorch,GenerationStep_1,,,3444,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19,23
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2108,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,23
124,124_0,FAILED,BoTorch,GenerationStep_1,,,3402,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
125,109_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,23
126,126_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44,23
127,127_0,FAILED,BoTorch,GenerationStep_1,,,4581,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53,23
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4679,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,23
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,5.000000000000000000000000000000,784,339,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15,23
130,130_0,FAILED,BoTorch,GenerationStep_1,,,721,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15,23
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,2781,716,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,11,23
132,113_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,23
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,65,23
134,134_0,FAILED,BoTorch,GenerationStep_1,,,58,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33,23
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1881,2431,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,53,23
136,136_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19,23
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,23
138,138_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30,23
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55,23
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,52,4163,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,23
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2745,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33,23
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4015,4338,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23,23
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,18.000000000000000000000000000000,2139,493,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,23
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,8.000000000000000000000000000000,1,368,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48,23
145,145_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41,23
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,5000,748,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,23
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,4402,627,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,79,23
148,117_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,23
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,4923,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17,23
150,150_0,FAILED,BoTorch,GenerationStep_1,,,4213,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,23
151,151_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
152,152_0,FAILED,BoTorch,GenerationStep_1,,,1479,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,23
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,541,739,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,44,23
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,669,674,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,23
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,127,4303,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,23
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,1118,457,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75,23
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,6.000000000000000000000000000000,4876,280,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22,23
158,158_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19,23
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4387,3456,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,12,23
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4983,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5,23
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,621,4417,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,23
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4410,1820,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,48,23
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,2277,427,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,34,23
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4918,4416,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,23
165,165_0,FAILED,BoTorch,GenerationStep_1,,,826,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19,23
166,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,6,23
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,6.000000000000000000000000000000,301,509,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,79,23
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,2516,862,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11,23
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,92,524,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,7,23
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4653,3754,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,23
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,6.000000000000000000000000000000,2433,834,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,80,23
172,172_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38,23
173,173_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,23
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2097,4672,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41,23
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,4545,242,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19,23
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,996,2051,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,83,23
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1491,3111,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,23
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,270,164,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,16,23
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,4092,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,23
180,180_0,FAILED,BoTorch,GenerationStep_1,,,1533,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,23
181,181_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19,23
182,182_0,FAILED,BoTorch,GenerationStep_1,,,2199,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17,23
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4044,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,23
184,184_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,29,23
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2244,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,85,23
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,433,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,23
187,187_0,FAILED,BoTorch,GenerationStep_1,,,149,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,23
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,78,23
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,4603,874,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,10,23
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,6.000000000000000000000000000000,5000,864,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,56,23
191,191_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,26,23
192,192_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17,23
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,128,505,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26,23
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,323,2789,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,93,23
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3485,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,35,23
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,10.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,23
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,68,23
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2612,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,86,23
199,199_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26,23
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2171,2177,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,11,23
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,7.000000000000000000000000000000,746,377,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,23
202,202_0,FAILED,BoTorch,GenerationStep_1,,,1125,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,23
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4289,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,23
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4550,2270,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,23
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1383,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,23
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4454,4209,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41,23
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,5.000000000000000000000000000000,1576,791,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,23
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3879,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,23
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,452,384,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19,23
210,210_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,23
211,211_0,FAILED,BoTorch,GenerationStep_1,,,276,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37,23
212,212_0,FAILED,BoTorch,GenerationStep_1,,,4304,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,23
213,213_0,FAILED,BoTorch,GenerationStep_1,,,1219,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,23
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,1663,480,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15,23
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,7.000000000000000000000000000000,5000,158,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,38,23
216,216_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33,23
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3989,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23,23
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,56,23
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,896,885,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,10,23
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,23
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,6.000000000000000000000000000000,2380,309,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,23
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,1705,662,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,23
223,223_0,FAILED,BoTorch,GenerationStep_1,,,2801,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,23
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3044,2475,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,23
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,918,3216,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29,23
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,1039,596,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23,23
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4073,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,90,23
228,228_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,23
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4054,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56,23
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,5000,854,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,81,23
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,4416,675,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37,23
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,534,3724,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,62,23
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3710,3763,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,87,23
234,234_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,14,23
235,59_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,23
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,4956,936,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,9,23
237,237_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,10,23
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,1,734,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,16,23
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,6.000000000000000000000000000000,5000,524,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,23
240,240_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
241,151_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
242,242_0,FAILED,BoTorch,GenerationStep_1,,,3544,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,23
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1728,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,56,23
244,244_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
245,245_0,FAILED,BoTorch,GenerationStep_1,,,592,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,23
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,2547,412,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,3229,726,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15,23
248,248_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19,23
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1325,2602,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,23
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,219,3536,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,23
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4451,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29,23
252,252_0,FAILED,BoTorch,GenerationStep_1,,,1874,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31,23
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,634,3662,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,27,23
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,41,475,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,20,23
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,374,113,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21,23
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,82,23
257,257_0,FAILED,BoTorch,GenerationStep_1,,,4467,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,10,23
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,6.000000000000000000000000000000,3063,846,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41,23
259,259_0,FAILED,BoTorch,GenerationStep_1,,,3887,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,27,23
260,260_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,13,23
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4369,2471,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,44,23
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2429,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14,23
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,23
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,1925,890,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,84,23
265,265_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38,23
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,86,23
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4257,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,48,23
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,6.000000000000000000000000000000,5000,587,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24,23
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2778,792,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22,23
270,270_0,FAILED,BoTorch,GenerationStep_1,,,511,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
271,271_0,FAILED,BoTorch,GenerationStep_1,,,2913,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3988,3602,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,41,23
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,1861,940,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,23
274,274_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,23
275,275_0,FAILED,BoTorch,GenerationStep_1,,,2361,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,23
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4116,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,27,23
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4126,3348,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,23
278,278_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17,23
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2234,2238,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,94,23
280,280_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,12,23
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3769,783,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,10,23
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,565,839,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,23
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,64,620,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,23
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1566,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,47,23
285,285_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37,23
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4043,3806,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,23
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,4897,265,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
288,288_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,23
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4121,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,65,23
290,290_0,FAILED,BoTorch,GenerationStep_1,,,2767,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,23
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4567,3678,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,23
292,292_0,FAILED,BoTorch,GenerationStep_1,,,3358,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15,23
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,6.000000000000000000000000000000,2152,412,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,23
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,480,671,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,75,23
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,258,245,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,23
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5,2283,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50,23
297,297_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29,23
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,375,529,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
299,299_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,23
300,300_0,FAILED,BoTorch,GenerationStep_1,,,3611,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,23
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,1957,940,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,23
302,302_0,FAILED,BoTorch,GenerationStep_1,,,171,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,13,23
303,303_0,FAILED,BoTorch,GenerationStep_1,,,2931,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,23
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2143,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,78,23
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1648,2223,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,23
306,306_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,23
307,307_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,14,23
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,4885,367,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,23
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,1801,562,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22,23
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1488,2141,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,23
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1235,3728,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,92,23
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,6.000000000000000000000000000000,4287,648,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,41,23
313,313_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,23
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4783,4598,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,58,23
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1996,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,26,23
316,240_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1318,4225,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,48,23
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,41,4472,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,68,23
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,2843,496,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,23
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2213,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,23
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1323,2884,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21,23
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,2748,707,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26,23
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,917,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,79,23
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,23
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,3579,153,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12,23
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,2164,706,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,27,23
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,3416,556,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,70,23
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,3457,882,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,23
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4077,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,56,23
330,274_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,23
331,331_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
332,299_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,23
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,6.000000000000000000000000000000,108,689,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,24,23
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3159,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5,23
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,380,153,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,23
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,5.000000000000000000000000000000,909,93,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,23
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,2285,826,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25,23
338,338_0,FAILED,BoTorch,GenerationStep_1,,,731,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17,23
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3333,3185,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31,23
340,340_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,12,23
341,341_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20,23
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,7.000000000000000000000000000000,3677,85,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19,23
343,343_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,13,23
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,23
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3586,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,23
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,6.000000000000000000000000000000,251,449,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,23
347,347_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,23,23
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1593,4648,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,7,23
349,349_0,FAILED,BoTorch,GenerationStep_1,,,4541,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,11,23
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,847,863,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22,23
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2143,3180,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,43,23
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4663,3330,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,32,23
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,5.000000000000000000000000000000,2396,368,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,23
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,297,2532,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,59,23
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2033,3672,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,23
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,1090,946,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,23
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4880,4665,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,95,23
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1565,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,23
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4565,4409,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,23,23
360,360_0,FAILED,BoTorch,GenerationStep_1,,,4063,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,23
361,361_0,FAILED,BoTorch,GenerationStep_1,,,135,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,36,23
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3671,2359,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,23
363,363_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,23
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,5.000000000000000000000000000000,4822,211,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,23
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,4673,888,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,23
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,141,647,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20,23
367,367_0,FAILED,BoTorch,GenerationStep_1,,,2935,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,23
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,4752,694,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,23
369,369_0,FAILED,BoTorch,GenerationStep_1,,,2899,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20,23
370,240_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3050,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,42,23
372,372_0,FAILED,BoTorch,GenerationStep_1,,,5000,3441,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15,23
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4297,4516,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,23
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,6.000000000000000000000000000000,5000,434,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,23
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4705,710,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,23
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,6.000000000000000000000000000000,4746,579,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,23
377,307_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,14,23
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,23
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4459,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,84,23
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4239,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,23
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1144,4490,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,55,23
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,6.000000000000000000000000000000,1286,593,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,3105,4601,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55,23
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,6.000000000000000000000000000000,2378,512,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,13,23
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,23
386,386_0,FAILED,BoTorch,GenerationStep_1,,,2695,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,23
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,5.000000000000000000000000000000,1164,42,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,23
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3234,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,37,23
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4327,3819,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,23
390,390_0,FAILED,BoTorch,GenerationStep_1,,,1888,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,23
391,391_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,13,23
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3983,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15,23
393,393_0,FAILED,BoTorch,GenerationStep_1,,,3336,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,12,23
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,423,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,23
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,5.000000000000000000000000000000,24,297,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,23
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,4862,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,77,23
397,210_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,23
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4210,2086,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,23
399,399_0,FAILED,BoTorch,GenerationStep_1,,,2779,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,23
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,6.000000000000000000000000000000,4866,820,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,89,23
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2160,4471,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26,23
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,51,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,2694,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17,23
404,404_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,23
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1983,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,23
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4786,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54,23
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4547,2035,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,65,23
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,78,3077,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,91,23
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,1,738,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73,23
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,796,1848,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,74,23
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,4692,864,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78,23
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4746,4183,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,65,23
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4543,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,89,23
414,414_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
415,415_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,24,23
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1675,2070,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,59,23
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4414,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,52,23
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1928,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48,23
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,4103,597,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,71,23
420,420_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,3001,4042,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.797217491269111677709702235006,78,23
421,421_0,COMPLETED,Sobol,SOBOL,0.230000000000000009992007221626,9.000000000000000000000000000000,1648,865,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.388721862690523278782706029233,11,23
422,422_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,813,3038,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.198561896253377195842304558937,61,23
423,423_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,4460,2370,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.616535250969231118922664336424,28,23
424,424_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,3801,3209,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.979730013838037816498172105639,72,23
425,425_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,300,1379,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.329554042251780643368874734733,42,23
426,426_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2239,4710,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.022908788893371820338806799100,92,23
427,427_0,COMPLETED,Sobol,SOBOL,0.299999999999999988897769753748,7.000000000000000000000000000000,3738,390,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.667014331273734550897813733172,22,23
428,428_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3240,2632,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.541669500155374405991892672318,69,23
429,429_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,2033,1955,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.149041699791327114654748697831,44,23
430,430_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,428,4135,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.453713031213730577650977693338,94,23
431,431_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,4221,967,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.856366685330867793979336966004,19,23
432,432_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,4.000000000000000000000000000000,4978,4618,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.739810942558571715821358338872,87,23
433,433_0,COMPLETED,Sobol,SOBOL,0.330000000000000015543122344752,8.000000000000000000000000000000,998,288,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.074254476258531210142166401056,2,23
434,434_0,RUNNING,Sobol,SOBOL,,,1540,3615,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.262493730481714038216267681491,52,23
435,435_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,2560,1794,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.922406278148293456986550609145,37,23
436,436_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2773,3528,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.101681745732203121512782217906,9,23
437,437_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,9.000000000000000000000000000000,1254,1686,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.712865757925435938879843433824,80,23
438,438_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,1211,4414,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.902569231271743821487518744107,30,23
439,439_0,COMPLETED,Sobol,SOBOL,0.340000000000000024424906541753,7.000000000000000000000000000000,4692,62,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.281846788983792062577293791037,59,23
440,440_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,4200,4341,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.183745777973905205504578930231,41,23
441,441_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,10.000000000000000000000000000000,533,1191,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.506483337132260236224112759373,72,23
442,442_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2011,2721,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.813585079863667459676435100846,22,23
443,443_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,13.000000000000000000000000000000,3344,2061,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.496978625055402523091885313988,91,23
444,444_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3472,4936,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.372793120460584770370360274683,50,23
445,445_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3683,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
446,446_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,4516,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,23
447,447_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3897,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,23
448,448_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,9.000000000000000000000000000000,2000,887,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,63,23
449,449_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
450,450_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,23
451,451_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
452,452_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,23
453,453_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4992,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
454,454_0,FAILED,BoTorch,BOTORCH_MODULAR,,,72,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,23
455,240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
456,456_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4854,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,23
457,457_0,FAILED,BoTorch,BOTORCH_MODULAR,,,458,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
458,458_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20,23
459,459_0,FAILED,BoTorch,BOTORCH_MODULAR,,,481,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
460,240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
461,461_0,FAILED,BoTorch,BOTORCH_MODULAR,,,176,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,23
462,462_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3826,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
463,463_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1039,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33,23
464,274_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,23
465,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,23
466,240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
467,228_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,23
468,32_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,23
469,469_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3703,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,23
470,470_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2948,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,23
471,240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
472,472_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,23
473,473_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2424,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,23
474,474_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3654,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19,23
475,475_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4808,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,23
476,476_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,12,23
477,477_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4030,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,20,23
478,478_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1257,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,23
479,479_0,FAILED,BoTorch,BOTORCH_MODULAR,,,944,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29,23
480,480_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,23
481,481_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1423,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,13,23
482,482_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,41,23
483,480_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,23
484,484_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2203,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,23
485,485_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,21,23
486,486_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31,23
487,487_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,23
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.309999999999999997779553950750,8.000000000000000000000000000000,1,394,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,14,23
489,480_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,23
490,490_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2898,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,23
491,491_0,FAILED,BoTorch,BOTORCH_MODULAR,,,444,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,41,23
492,492_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4368,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,23
493,493_0,FAILED,BoTorch,BOTORCH_MODULAR,,,691,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23,23
494,472_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,23
495,495_0,FAILED,BoTorch,BOTORCH_MODULAR,,,621,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36,23
496,496_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1416,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,23
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,331,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,64,23
498,498_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,23
499,499_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3195,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,17,23
500,500_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19,23
501,151_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
502,502_0,FAILED,BoTorch,BOTORCH_MODULAR,,,999,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,22,23
503,503_0,FAILED,BoTorch,BOTORCH_MODULAR,,,775,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39,23
504,504_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,23
505,505_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4629,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
506,458_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,20,23
507,507_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2432,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,26,23
508,508_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4348,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,23
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,8.000000000000000000000000000000,3636,660,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,78,23
510,504_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,23
511,511_0,FAILED,BoTorch,BOTORCH_MODULAR,,,814,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19,23
512,500_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19,23
513,513_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,23
514,514_0,FAILED,BoTorch,BOTORCH_MODULAR,,,761,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,37,23
515,515_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4355,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,23
516,516_0,FAILED,BoTorch,BOTORCH_MODULAR,,,555,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,26,23
517,181_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19,23
518,500_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19,23
519,519_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,19,23
520,520_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2658,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,23
521,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,220,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,39,23
522,228_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,23
523,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2647,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,23,23
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,8.000000000000000000000000000000,1,264,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,22,23
525,525_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4499,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,18,23
526,313_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,23
527,527_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4778,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
528,528_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2245,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,14,23
529,529_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1156,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,16,23
530,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,23
531,531_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4698,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,23
532,363_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,23
533,533_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,13,23
534,363_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,23
535,535_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1704,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,39,23
536,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,15,23
537,537_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,23
538,472_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,23
539,539_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,15,23
540,540_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2136,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,15,23
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2910,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,23
542,542_0,FAILED,BoTorch,BOTORCH_MODULAR,,,912,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,35,23
543,363_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,14,23
544,544_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,19,23
545,472_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,16,23
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1014.000000000000000000000000000000,3660,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,62,23
547,547_0,FAILED,BoTorch,BOTORCH_MODULAR,,,543,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,40,23
548,548_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2672,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.963079492084784605232528065244,15,23
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,18.000000000000000000000000000000,2904,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,11,23
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,8.000000000000000000000000000000,3468,91,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.524253868243742648935779016028,21,23
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,10.000000000000000000000000000000,4128,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.745705741352263307142322901200,1,23
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,8.000000000000000000000000000000,1422,64,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.485804307184497741189943553763,38,23
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,2388,24,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.540473065730470048073641464725,1,23
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,2659,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,23
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,3137,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,23
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,2787,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.599527221322067149777979011560,1,23
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,9.000000000000000000000000000000,4538,105,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.658214343067788809626961210597,36,23
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,13.000000000000000000000000000000,423,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.535820109473222339069309327897,100,23
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,1048,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,23
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,8.000000000000000000000000000000,2543,113,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.300384952519470171949933501310,30,23
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,7.000000000000000000000000000000,2818,679,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.034948034341136559322027466123,1,23
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,13.000000000000000000000000000000,2404,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.310535712857733292580064698996,100,23
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,175,88,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.216997251502171889514514191433,17,23
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,54.000000000000000000000000000000,3057,173,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.749872093079584578489971136150,96,23
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,127.000000000000000000000000000000,977,24,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.170356762801454397759925996070,80,23
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,12.000000000000000000000000000000,1487,2250,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.449513994295517860244615349075,1,23
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.309999999999999997779553950750,22.000000000000000000000000000000,2164,116,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.613284889323256754423141501320,65,23
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,135.000000000000000000000000000000,1179,48,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.379828142878774477342318505180,97,23
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,57.000000000000000000000000000000,2735,170,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.459716642877696646252161372104,95,23
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,36.000000000000000000000000000000,2522,42,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.775847190745659442967507857247,76,23
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,17.000000000000000000000000000000,2010,87,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.169655118747948113755441568173,63,23
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,54.000000000000000000000000000000,1571,8,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.405311321327265383640536811072,52,23
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,9.000000000000000000000000000000,98,5,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.489743269767220712473942967335,16,23
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3668,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.779006722200446755088876216178,1,23
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,7.000000000000000000000000000000,4070,97,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.707960778861638884151830097835,17,23
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,8.000000000000000000000000000000,2730,101,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.782091807327624843892976969073,5,23
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,13.000000000000000000000000000000,4932,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.194102440765219791396489767976,34,23
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,14.000000000000000000000000000000,3519,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.193532599053255593979372406466,1,23
579,579_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3872,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.317038957958761913324963188643,32,23
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,7.000000000000000000000000000000,4871,15,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.832583860179801793499620998773,1,23
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,7.000000000000000000000000000000,1689,92,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.214006546478083786722024228766,17,23
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,10.000000000000000000000000000000,2470,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.795085199021669741803464148688,1,23
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,2269,21,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.317944517065475662498386100197,26,23
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,3641,120,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.763662265641487314482560577744,60,23
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,8.000000000000000000000000000000,2403,32,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.490169556245603432742541372136,63,23
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,99.000000000000000000000000000000,1463,35,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.413867593621741303167027581367,86,23
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,10.000000000000000000000000000000,3688,3,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.134750669773495784786732087923,35,23
588,588_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1031,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.140688270842383750247606144512,98,23
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,4890,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.688503944024075664742667868268,1,23
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,11.000000000000000000000000000000,4113,2313,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.622635330733867897734512553143,1,23
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,12.000000000000000000000000000000,4086,587,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.146480840403602013966022354907,70,23
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.309999999999999997779553950750,8.000000000000000000000000000000,223,363,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.142469097991507004374867051411,85,23
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,12.000000000000000000000000000000,4562,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.806410383372718087002795073204,54,23
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,4317,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.870989912613052918999301255099,1,23
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.309999999999999997779553950750,42.000000000000000000000000000000,3731,99,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.642628679780882450245371728670,80,23
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,378.000000000000000000000000000000,3315,18,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.376184871181229119052602527518,99,23
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,4995,42,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.849271022302258482561398977850,46,23
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,13.000000000000000000000000000000,2167,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.599003250207874038402167116146,33,23
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.309999999999999997779553950750,19.000000000000000000000000000000,4608,118,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.584255455052776984103957147454,71,23
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.270000000000000017763568394003,12.000000000000000000000000000000,1982,477,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.156568593475684830762517663061,61,23
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,29.000000000000000000000000000000,2654,38,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.520324512906205849382956785121,59,23
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,8.000000000000000000000000000000,54,88,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.592945171341441756851509126136,29,23
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,20.000000000000000000000000000000,4140,80,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.648809060777622792492991266045,63,23
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,9.000000000000000000000000000000,1363,41,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.576043983182241148277569209313,2,23
605,605_0,FAILED,BoTorch,BOTORCH_MODULAR,,,892,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.894270839527214755904083176574,1,23
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,11.000000000000000000000000000000,4690,108,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.672573746191220900314533537312,57,23
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,7.000000000000000000000000000000,3648,124,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.888365938339632621456587457942,11,23
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,7.000000000000000000000000000000,3900,89,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.414903257517494794548440495419,47,23
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,7.000000000000000000000000000000,1922,83,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.303450044758379611220533433880,16,23
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,13.000000000000000000000000000000,4277,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.362285328141732587692303013682,1,23
611,611_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4646,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.425268471435141071079755192841,21,23
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,7.000000000000000000000000000000,113,113,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.227377709283166501430528683159,18,23
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,8.000000000000000000000000000000,4410,203,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.230109895265158237442904010095,6,23
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,1183,56,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.380941286685557323199446955186,33,23
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,11.000000000000000000000000000000,4623,43,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.754622686869788616981225004565,28,23
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,11.000000000000000000000000000000,3862,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.580281756214905075630383635144,26,23
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,840,2752,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.475446438080539768300525338418,72,23
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,7.000000000000000000000000000000,199,300,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.136301887405677502052014915535,34,23
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,102.000000000000000000000000000000,4192,56,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.431603258621608087963750222116,97,23
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,18,30,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.738621608223758441269524155359,60,23
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,9.000000000000000000000000000000,3417,373,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.109054373532105439159600734911,22,23
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,12.000000000000000000000000000000,2898,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.841914612197829148598771098477,1,23
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,10.000000000000000000000000000000,186,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.937289298805267456771161960205,100,23
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,3245,8,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.760567856574756895327027450548,29,23
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4049,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.946067332032631824745294579770,1,23
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,17.000000000000000000000000000000,4107,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.641407253978015012840785402659,34,23
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,3364,25,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.706911829847631345558056636946,17,23
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,12.000000000000000000000000000000,4091,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.542205185079749463206155724038,19,23
629,629_0,FAILED,BoTorch,BOTORCH_MODULAR,,,189,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.457637941588167784789931147316,2,23
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,11.000000000000000000000000000000,255,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.872343630313069606785347787081,1,23
631,631_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3297,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.434620985007194926552642755269,58,23

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start_time,end_time,run_time,program_string,recent_samples_size,batch_size,divergence,detect_batch,statistic,significance,subsets,feature_id,ACCURACY,RUNTIME,exit_code,signal,hostname,OO_Info_runtime,OO_Info_peak_memory,OO_Info_mean_memory,OO_Info_lpd,OO_Info_portion_req_label,OO_Info_SLURM_JOB_ID
1744997539,1744997558,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3001 feature_id 23 batch_size 4042 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7972174912691117 subsets 78,3001,4042,str\(\'H\'\),2,str\(\'stdev\'\),0.7972174912691117,78,23,0.2,5,0,None,i7180,5,750.4765625,750.30859375,-1,0,4544570
1744997559,1744997586,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1648 feature_id 23 batch_size 865 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.3887218626905233 subsets 11,1648,865,str\(\'KL\'\),2,str\(\'tstat\'\),0.3887218626905233,11,23,0.23,9,0,None,i7185,9,734.78515625,734.2265625,-1,0,4544582
1744997578,1744997598,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 813 feature_id 23 batch_size 3038 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.1985618962533772 subsets 61,813,3038,str\(\'H\'\),3,str\(\'tstat\'\),0.1985618962533772,61,23,0.2,5,0,None,i7180,5,750.23828125,750.0703125,-1,0,4544602
1744997599,1744997625,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4460 feature_id 23 batch_size 2370 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6165352509692311 subsets 28,4460,2370,str\(\'KL\'\),1,str\(\'stdev\'\),0.6165352509692311,28,23,0.2,8,0,None,i7185,8,733.2265625,722.2330729166666,-1,0.12276637988087359,4544616
1744997618,1744997637,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3801 feature_id 23 batch_size 3209 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9797300138380378 subsets 72,3801,3209,str\(\'KL\'\),1,str\(\'stdev\'\),0.9797300138380378,72,23,0.2,6,0,None,i7177,6,750.16015625,750.0390625,-1,0,4544635
1744997638,1744997657,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 300 feature_id 23 batch_size 1379 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.32955404225178064 subsets 42,300,1379,str\(\'H\'\),3,str\(\'tstat\'\),0.32955404225178064,42,23,0.2,5,0,None,i7177,5,750.06640625,749.8606770833334,-1,0.2511581733951026,4544657
1744997679,1744997705,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2239 feature_id 23 batch_size 4710 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.02290878889337182 subsets 92,2239,4710,str\(\'KL\'\),2,str\(\'tstat\'\),0.02290878889337182,92,23,0.2,6,0,None,i7180,6,750.859375,750.68359375,-1,0,4544686
1744997710,1744997730,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3738 feature_id 23 batch_size 390 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.6670143312737346 subsets 22,3738,390,str\(\'H\'\),3,str\(\'stdev\'\),0.6670143312737346,22,23,0.3,7,0,None,i7180,7,751.05859375,750.8997395833334,-1,0,4544714
1744997739,1744997765,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3240 feature_id 23 batch_size 2632 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5416695001553744 subsets 69,3240,2632,str\(\'KL\'\),3,str\(\'tstat\'\),0.5416695001553744,69,23,0.2,7,0,None,i7185,7,728.16796875,721.88671875,-1,0,4544738
1744997770,1744997796,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2033 feature_id 23 batch_size 1955 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.14904169979132711 subsets 44,2033,1955,str\(\'H\'\),1,str\(\'stdev\'\),0.14904169979132711,44,23,0.2,8,0,None,i7180,8,750.9375,750.80859375,-1,0,4544769
1744997789,1744997815,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 428 feature_id 23 batch_size 4135 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4537130312137306 subsets 94,428,4135,str\(\'KL\'\),3,str\(\'stdev\'\),0.4537130312137306,94,23,0.2,5,0,None,i7177,5,750.6953125,750.51953125,-1,0,4544817
1744997789,1744997815,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4221 feature_id 23 batch_size 967 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8563666853308678 subsets 19,4221,967,str\(\'H\'\),1,str\(\'tstat\'\),0.8563666853308678,19,23,0.2,6,0,None,i7177,6,748.6640625,748.4700520833334,-1,0.2984778292521509,4544847
1744997805,1744997824,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4978 feature_id 23 batch_size 4618 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7398109425585717 subsets 87,4978,4618,str\(\'H\'\),2,str\(\'tstat\'\),0.7398109425585717,87,23,0.2,4,0,None,i7177,4,749.7734375,749.60546875,-1,0,4544874
1744997788,1744997826,38,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2560 feature_id 23 batch_size 1794 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9224062781482935 subsets 37,2560,1794,str\(\'KL\'\),3,str\(\'tstat\'\),0.9224062781482935,37,23,0.2,5,0,None,i7176,5,749.3203125,749.1419270833334,-1,0,4544988
1744997784,1744997829,45,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 998 feature_id 23 batch_size 288 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.07425447625853121 subsets 2,998,288,str\(\'KL\'\),2,str\(\'stdev\'\),0.07425447625853121,2,23,0.33,8,0,None,i7176,8,749.80859375,749.5442708333334,-1,0.10092653871608206,4544908
1744997839,1744997865,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2773 feature_id 23 batch_size 3528 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.10168174573220312 subsets 9,2773,3528,str\(\'H\'\),1,str\(\'stdev\'\),0.10168174573220312,9,23,0.2,7,0,None,i7185,7,713.265625,698.1783854166666,-1,0,4545036
1744997891,1744997917,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1254 feature_id 23 batch_size 1686 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7128657579254359 subsets 80,1254,1686,str\(\'KL\'\),2,str\(\'tstat\'\),0.7128657579254359,80,23,0.2,9,0,None,i7180,9,749.97265625,749.6692708333334,-1,0,4545080
1744997951,1744997970,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1211 feature_id 23 batch_size 4414 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9025692312717438 subsets 30,1211,4414,str\(\'H\'\),1,str\(\'tstat\'\),0.9025692312717438,30,23,0.2,6,0,None,i7180,6,751.40625,751.2317708333334,-1,0,4545130
1744997981,1744998001,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4692 feature_id 23 batch_size 62 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.28184678898379206 subsets 59,4692,62,str\(\'KL\'\),3,str\(\'stdev\'\),0.28184678898379206,59,23,0.34,7,0,None,i7180,7,750.55078125,750.3515625,-1,0.10258107213765719,4545166
1744999921,1744999947,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4200 feature_id 23 batch_size 4341 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.1837457779739052 subsets 41,4200,4341,str\(\'KL\'\),3,str\(\'stdev\'\),0.1837457779739052,41,23,0.2,7,0,None,i7185,7,735.625,714.4361979166666,-1,0,4549363
1744999921,1744999948,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 533 feature_id 23 batch_size 1191 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.5064833371322602 subsets 72,533,1191,str\(\'H\'\),1,str\(\'tstat\'\),0.5064833371322602,72,23,0.2,10,0,None,i7180,10,750.68359375,750.5026041666666,-1,0,4549371
1744999941,1744999961,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2011 feature_id 23 batch_size 2721 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.8135850798636675 subsets 22,2011,2721,str\(\'KL\'\),2,str\(\'tstat\'\),0.8135850798636675,22,23,0.2,7,0,None,i7180,7,751.26953125,750.9427083333334,-1,0,4549385
1744999961,1744999987,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3344 feature_id 23 batch_size 2061 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.4969786250554025 subsets 91,3344,2061,str\(\'H\'\),2,str\(\'stdev\'\),0.4969786250554025,91,23,0.2,13,0,None,i7185,13,748.47265625,706.60546875,-1,0,4549398
1744999984,1745000011,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3472 feature_id 23 batch_size 4936 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.37279312046058477 subsets 50,3472,4936,str\(\'KL\'\),1,str\(\'tstat\'\),0.37279312046058477,50,23,0.2,7,0,None,i7180,7,750.91796875,750.7473958333334,-1,0,4549419
1745000743,1745000756,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3683 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 16,3683,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,16,23,None,None,1,None,i7173,,,,,,4550149
1745001304,1745001324,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 4516 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 32,5000,4516,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,32,23,0.2,7,0,None,i7169,7,750.29296875,750.11328125,-1,0,4550906
1745001883,1745001896,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3897 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 17,3897,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,17,23,None,None,1,None,i7168,,,,,,4551752
1745002303,1745002329,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2000 feature_id 23 batch_size 887 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 63,2000,887,str\(\'H\'\),3,str\(\'stdev\'\),0.999,63,23,0.22,9,0,None,i7172,9,751.19921875,751.0234375,-1,0,4552156
1745002721,1745002735,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 15,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,15,23,None,None,1,None,i7180,,,,,,4552426
1745003533,1745003546,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 32,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,32,23,None,None,1,None,i7172,,,,,,4553110
1745003862,1745003876,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1598 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 16,1598,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,16,23,None,None,1,None,i7170,,,,,,4553373
1745004342,1745004355,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 16,5000,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,16,23,None,None,1,None,i7168,,,,,,4553825
1745004742,1745004755,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4992 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 15,4992,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,15,23,None,None,1,None,i7167,,,,,,4554334
1745005203,1745005223,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 72 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 15,72,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,15,23,None,None,1,None,i7173,,,,,,4554737
1745005603,1745005623,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 16,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,16,23,None,None,1,None,i7169,,,,,,4555097
1745006343,1745006356,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4854 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 40,4854,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,40,23,None,None,1,None,i7180,,,,,,4555719
1745006984,1745006997,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 458 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 15,458,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,15,23,None,None,1,None,i7173,,,,,,4556280
1745007464,1745007477,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 20,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,20,23,None,None,1,None,i7169,,,,,,4556742
1745007974,1745007987,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 481 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 15,481,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,15,23,None,None,1,None,i7167,,,,,,4557205
1745008524,1745008537,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 16,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,16,23,None,None,1,None,i7173,,,,,,4557775
1745009184,1745009198,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 176 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 21,176,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,21,23,None,None,1,None,i7168,,,,,,4558343
1745009687,1745009700,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3826 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 15,3826,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,15,23,None,None,1,None,i7170,,,,,,4558771
1745010204,1745010218,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1039 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 33,1039,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,33,23,None,None,1,None,i7180,,,,,,4559169
1745010796,1745010809,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 16,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,16,23,None,None,1,None,i7170,,,,,,4559716
1745011345,1745011359,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 15,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,15,23,None,None,1,None,i7168,,,,,,4560251
1745011786,1745011799,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 16,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,16,23,None,None,1,None,i7170,,,,,,4560649
1745012388,1745012401,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 17,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,17,23,None,None,1,None,i7170,,,,,,4561174
1745012785,1745012804,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 34,1,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,34,23,None,None,1,None,i7169,,,,,,4561499
1745013345,1745013359,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3703 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 17,3703,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,17,23,None,None,1,None,i7173,,,,,,4561945
1745013767,1745013781,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2948 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 17,2948,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,17,23,None,None,1,None,i7169,,,,,,4562298
1745014165,1745014185,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 16,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,16,23,None,None,1,None,i7169,,,,,,4562649
1745014685,1745014699,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 16,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,16,23,None,None,1,None,i7185,,,,,,4563049
1745015245,1745015259,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2424 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 14,2424,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,14,23,None,None,1,None,i7170,,,,,,4563550
1745015947,1745015960,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3654 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 19,3654,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,19,23,None,None,1,None,i7180,,,,,,4564122
1745016377,1745016390,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4808 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 15,4808,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,15,23,None,None,1,None,i7170,,,,,,4564462
1745016906,1745016919,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 12,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,12,23,None,None,1,None,i7170,,,,,,4564853
1745017406,1745017419,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4030 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 20,4030,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,20,23,None,None,1,None,i7169,,,,,,4565265
1745017888,1745017901,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1257 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 14,1257,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,14,23,None,None,1,None,i7168,,,,,,4565667
1745018267,1745018280,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 944 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 29,944,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,29,23,None,None,1,None,i7180,,,,,,4565975
1745018807,1745018821,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 17,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,17,23,None,None,1,None,i7170,,,,,,4566438
1745019208,1745019222,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1423 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 13,1423,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,13,23,None,None,1,None,i7170,,,,,,4566749
1745019728,1745019754,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 41,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,41,23,None,None,1,None,i7185,,,,,,4567119
1745020208,1745020221,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 17,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,17,23,None,None,1,None,i7173,,,,,,4567484
1745020638,1745020657,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2203 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 14,2203,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,14,23,None,None,1,None,i7169,,,,,,4567817
1745021180,1745021193,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 21,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,21,23,None,None,1,None,i7170,,,,,,4568266
1745021832,1745021853,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 31,5000,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,31,23,None,None,1,None,i7173,,,,,,4568779
1745022329,1745022343,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 17,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,17,23,None,None,1,None,i7173,,,,,,4569138
1745023029,1745023049,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 23 batch_size 394 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 14,1,394,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,14,23,0.31,8,0,None,i7185,8,751.515625,751.3216145833334,-1,0,4569636
1745023579,1745023593,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 17,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,17,23,None,None,1,None,i7185,,,,,,4570062
1745024119,1745024132,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2898 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 18,2898,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,18,23,None,None,1,None,i7168,,,,,,4570565
1745024710,1745024723,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 444 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 41,444,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,41,23,None,None,1,None,i7170,,,,,,4571034
1745025290,1745025304,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4368 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 15,4368,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,15,23,None,None,1,None,i7170,,,,,,4571445
1745025831,1745025844,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 691 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 23,691,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,23,23,None,None,1,None,i7173,,,,,,4571809
1745026281,1745026294,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 16,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,16,23,None,None,1,None,i7180,,,,,,4572099
1745026891,1745026910,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 621 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 36,621,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,36,23,None,None,1,None,i7169,,,,,,4572572
1745027411,1745027425,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1416 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 21,1416,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,21,23,None,None,1,None,i7185,,,,,,4572971
1745028031,1745028051,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 331 feature_id 23 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 64,331,5000,str\(\'H\'\),3,str\(\'stdev\'\),0.999,64,23,0.2,5,0,None,i7168,5,751.08203125,750.9153645833334,-1,0,4573446
1745028441,1745028454,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 18,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,18,23,None,None,1,None,i7170,,,,,,4573759
1745028991,1745029005,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3195 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 17,3195,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,17,23,None,None,1,None,i7169,,,,,,4574166
1745029732,1745029745,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 19,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,19,23,None,None,1,None,i7180,,,,,,4574694
1745030292,1745030305,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 16,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,16,23,None,None,1,None,i7180,,,,,,4575094
1745030932,1745030946,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 999 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 22,999,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,22,23,None,None,1,None,i7180,,,,,,4575544
1745031472,1745031486,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 775 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 39,775,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,39,23,None,None,1,None,i7185,,,,,,4575924
1745032071,1745032159,88,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 21,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,21,23,None,None,1,None,i7168,,,,,,4576385
1745032632,1745032646,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4629 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 15,4629,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,15,23,None,None,1,None,i7170,,,,,,4576780
1745033132,1745033146,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 20,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,20,23,None,None,1,None,i7173,,,,,,4577106
1745033634,1745033647,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2432 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 26,2432,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,26,23,None,None,1,None,i7180,,,,,,4577428
1745034152,1745034165,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4348 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 16,4348,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,16,23,None,None,1,None,i7170,,,,,,4577766
1745034733,1745034752,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3636 feature_id 23 batch_size 660 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 78,3636,660,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,78,23,0.26,8,0,None,i7170,8,751.328125,751.1041666666666,-1,0,4578165
1745035255,1745035268,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 21,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,21,23,None,None,1,None,i7180,,,,,,4578534
1745035874,1745035887,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 814 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 19,814,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,19,23,None,None,1,None,i7185,,,,,,4578954
1745036433,1745036447,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 19,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,19,23,None,None,1,None,i7180,,,,,,4579313
1745036904,1745036917,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 28,5000,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,28,23,None,None,1,None,i7173,,,,,,4579618
1745037637,1745037657,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 761 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 37,761,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,37,23,None,None,1,None,i7180,,,,,,4580047
1745038134,1745038147,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4355 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 17,4355,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,17,23,None,None,1,None,i7170,,,,,,4580373
1745038795,1745038808,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 555 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 26,555,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,26,23,None,None,1,None,i7180,,,,,,4580816
1745039215,1745039229,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 19,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,19,23,None,None,1,None,i7185,,,,,,4581100
1745039894,1745039913,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 19,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,19,23,None,None,1,None,i7169,,,,,,4581540
1745040295,1745040309,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 19,1,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,19,23,None,None,1,None,i7180,,,,,,4581769
1745040926,1745040939,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2658 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 21,2658,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,21,23,None,None,1,None,i7180,,,,,,4582131
1745041535,1745041548,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 220 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 39,220,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,39,23,None,None,1,None,i7173,,,,,,4582498
1745041896,1745041909,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 17,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,17,23,None,None,1,None,i7173,,,,,,4582720
1745042515,1745042529,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2647 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 23,2647,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,23,23,None,None,1,None,i7185,,,,,,4583073
1745042936,1745042956,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 23 batch_size 264 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 22,1,264,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,22,23,0.3,8,0,None,i7180,8,751.14453125,750.9114583333334,-1,0.08735936465916612,4583330
1745043535,1745043549,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4499 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 18,4499,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,18,23,None,None,1,None,i7180,,,,,,4583699
1745044286,1745044299,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 13,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,13,23,None,None,1,None,i7185,,,,,,4584259
1745044975,1745044995,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4778 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 16,4778,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,16,23,None,None,1,None,i7170,,,,,,4584762
1745045535,1745045561,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2245 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 14,2245,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,14,23,None,None,1,None,i7170,,,,,,4585097
1745046116,1745046142,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1156 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 16,1156,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,16,23,None,None,1,None,i7173,,,,,,4585413
1745046716,1745046736,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 15,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,15,23,None,None,1,None,i7173,,,,,,4585756
1745047107,1745047134,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4698 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 40,4698,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,40,23,None,None,1,None,i7173,,,,,,4585968
1745047526,1745047539,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 14,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,14,23,None,None,1,None,i7170,,,,,,4586200
1745047947,1745047960,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 13,5000,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,13,23,None,None,1,None,i7180,,,,,,4586439
1745048557,1745048570,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 14,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,14,23,None,None,1,None,i7180,,,,,,4586790
1745049058,1745049071,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1704 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 39,1704,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,39,23,None,None,1,None,i7180,,,,,,4587069
1745049537,1745049557,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 15,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,15,23,None,None,1,None,i7185,,,,,,4587353
1745050117,1745050143,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 40,5000,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,40,23,None,None,1,None,i7173,,,,,,4587684
1745050618,1745050637,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 16,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,16,23,None,None,1,None,i7173,,,,,,4587953
1745051068,1745051081,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 15,5000,1,str\(\'H\'\),1,str\(\'stdev\'\),0.999,15,23,None,None,1,None,i7185,,,,,,4588200
1745051578,1745051592,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2136 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 15,2136,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,15,23,None,None,1,None,i7180,,,,,,4588475
1745052078,1745052098,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2910 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 14,2910,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,14,23,None,None,1,None,i7173,,,,,,4588747
1745052779,1745052792,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 912 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 35,912,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,35,23,None,None,1,None,i7180,,,,,,4589106
1745053349,1745053362,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 14,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,14,23,None,None,1,None,i7180,,,,,,4589416
1745053956,1745053975,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 19,5000,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,19,23,None,None,1,None,i7170,,,,,,4589755
1745054500,1745054513,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 16,5000,1,str\(\'H\'\),1,str\(\'tstat\'\),0.001,16,23,None,None,1,None,i7180,,,,,,4590037
1745055680,1745055700,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 543 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 40,543,1,str\(\'H\'\),1,str\(\'tstat\'\),0.999,40,23,None,None,1,None,i7180,,,,,,4590680
1745055200,1745056228,1028,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3660 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 62,3660,1,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,62,23,0.34,1014,0,None,i7180,1014,750.6640625,750.6558743990385,-1,0.0843812045003309,4590425
1745056258,1745056278,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2672 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9630794920847846 subsets 15,2672,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.9630794920847846,15,23,None,None,1,None,i7183,,,,,,4591017
1745056620,1745056659,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2904 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 11,2904,1,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,11,23,0.34,18,0,None,i7185,18,747.234375,743.3896484375,-1,0.0843812045003309,4591207
1745056940,1745056967,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3468 feature_id 23 batch_size 91 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5242538682437426 subsets 21,3468,91,str\(\'KL\'\),1,str\(\'stdev\'\),0.5242538682437426,21,23,0.29,8,0,None,i7185,8,749.11328125,733.4010416666666,-1,0.09033752481800132,4591360
1745057219,1745057250,31,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4128 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7457057413522633 subsets 1,4128,1,str\(\'H\'\),2,str\(\'stdev\'\),0.7457057413522633,1,23,0.35,10,0,None,i7173,10,747.9609375,728.8307291666666,-1,0.0843812045003309,4591506
1745057549,1745057569,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1422 feature_id 23 batch_size 64 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.48580430718449774 subsets 38,1422,64,str\(\'KL\'\),3,str\(\'tstat\'\),0.48580430718449774,38,23,0.33,8,0,None,i7183,8,751.48046875,751.2057291666666,-1,0.08471211118464593,4591686
1745057849,1745057876,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2388 feature_id 23 batch_size 24 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.54047306573047 subsets 1,2388,24,str\(\'H\'\),1,str\(\'stdev\'\),0.54047306573047,1,23,0.35,12,0,None,i7183,12,750.19140625,750.09375,-1,0.32329583057577765,4591841
1745058150,1745058183,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2659 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,2659,1,str\(\'H\'\),2,str\(\'stdev\'\),0.001,1,23,0.35,14,0,None,i7185,14,739.01953125,728.3994140625,-1,0.0843812045003309,4592002
1745058439,1745058466,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3137 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,3137,1,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,23,0.35,13,0,None,i7185,13,749.546875,733.830078125,-1,0.0843812045003309,4592163
1745058719,1745058746,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2787 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5995272213220671 subsets 1,2787,1,str\(\'H\'\),2,str\(\'tstat\'\),0.5995272213220671,1,23,0.35,13,0,None,i7183,13,750.42578125,750.220703125,-1,0.0843812045003309,4592329
1745059039,1745059059,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4538 feature_id 23 batch_size 105 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6582143430677888 subsets 36,4538,105,str\(\'KL\'\),2,str\(\'tstat\'\),0.6582143430677888,36,23,0.34,9,0,None,i7183,9,751.16796875,750.8723958333334,-1,0.06949040370615486,4592492
1745059410,1745059449,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 423 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.5358201094732223 subsets 100,423,1,str\(\'H\'\),3,str\(\'tstat\'\),0.5358201094732223,100,23,0.34,13,0,None,i7185,13,741.8125,725.541015625,-1,0.0843812045003309,4592683
1745059730,1745059762,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1048 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1048,1,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,23,0.35,13,0,None,i7183,13,750.328125,750.16015625,-1,0.0843812045003309,4592859
1745060127,1745060153,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2543 feature_id 23 batch_size 113 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.30038495251947017 subsets 30,2543,113,str\(\'KL\'\),1,str\(\'tstat\'\),0.30038495251947017,30,23,0.28,8,0,None,i7180,8,750.1171875,749.9283854166666,-1,0,4593070
1745060404,1745060423,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2818 feature_id 23 batch_size 679 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.03494803434113656 subsets 1,2818,679,str\(\'KL\'\),2,str\(\'stdev\'\),0.03494803434113656,1,23,0.28,7,0,None,i7180,7,750.734375,750.4765625,-1,0.01257445400397088,4593214
1745060739,1745060772,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2404 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.3105357128577333 subsets 100,2404,1,str\(\'H\'\),3,str\(\'stdev\'\),0.3105357128577333,100,23,0.34,13,0,None,i7185,13,690.66796875,679.2158203125,-1,0.0843812045003309,4593390
1745061033,1745061053,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 175 feature_id 23 batch_size 88 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.2169972515021719 subsets 17,175,88,str\(\'KL\'\),1,str\(\'stdev\'\),0.2169972515021719,17,23,0.35,9,0,None,i7183,9,751.078125,750.9296875,-1,0.14559894109861019,4593549
1745061341,1745061406,65,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3057 feature_id 23 batch_size 173 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7498720930795846 subsets 96,3057,173,str\(\'KL\'\),1,str\(\'tstat\'\),0.7498720930795846,96,23,0.32,54,0,None,i7183,54,750.81640625,750.73974609375,-1,0.11449371277299801,4593720
1745061700,1745061843,143,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 977 feature_id 23 batch_size 24 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.1703567628014544 subsets 80,977,24,str\(\'H\'\),1,str\(\'tstat\'\),0.1703567628014544,80,23,0.34,127,0,None,i7185,127,748.74609375,728.6794270833333,-1,0.09530112508272667,4593932
1745062040,1745062066,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1487 feature_id 23 batch_size 2250 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.44951399429551786 subsets 1,1487,2250,str\(\'KL\'\),1,str\(\'tstat\'\),0.44951399429551786,1,23,0.24,12,0,None,i7183,12,750.68359375,750.56640625,-1,0.08305757776307081,4594106
1745062353,1745062393,40,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2164 feature_id 23 batch_size 116 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6132848893232568 subsets 65,2164,116,str\(\'H\'\),1,str\(\'tstat\'\),0.6132848893232568,65,23,0.31,22,0,None,i7183,22,750.97265625,750.846875,-1,0.10622104566512243,4594268
1745062650,1745062799,149,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1179 feature_id 23 batch_size 48 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.3798281428787745 subsets 97,1179,48,str\(\'H\'\),2,str\(\'stdev\'\),0.3798281428787745,97,23,0.34,135,0,None,i7185,135,720.62890625,669.088623046875,-1,0.09530112508272667,4594428
1745062941,1745063013,72,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2735 feature_id 23 batch_size 170 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.45971664287769665 subsets 95,2735,170,str\(\'KL\'\),1,str\(\'tstat\'\),0.45971664287769665,95,23,0.32,57,0,None,i7180,57,749.78515625,749.70849609375,-1,0.11250827266710788,4594578
1745063341,1745063399,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2522 feature_id 23 batch_size 42 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7758471907456594 subsets 76,2522,42,str\(\'KL\'\),1,str\(\'stdev\'\),0.7758471907456594,76,23,0.33,36,0,None,i7185,36,715.32421875,681.5944010416666,-1,0.06949040370615486,4594778
1745063662,1745063695,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2010 feature_id 23 batch_size 87 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.1696551187479481 subsets 63,2010,87,str\(\'KL\'\),1,str\(\'tstat\'\),0.1696551187479481,63,23,0.29,17,0,None,i7185,17,746.81640625,728.8994140625,-1,0.08636664460622105,4594947
1745063903,1745063974,71,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1571 feature_id 23 batch_size 8 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.4053113213272654 subsets 52,1571,8,str\(\'KL\'\),2,str\(\'stdev\'\),0.4053113213272654,52,23,0.34,54,0,None,i7185,54,731.5703125,731.46728515625,-1,0.06618133686300463,4595071
1745064241,1745064261,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 98 feature_id 23 batch_size 5 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4897432697672207 subsets 16,98,5,str\(\'KL\'\),3,str\(\'stdev\'\),0.4897432697672207,16,23,0.34,9,0,None,i7183,9,751.3671875,751.1796875,-1,0.07776307081403044,4595254
1745064621,1745064641,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3668 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7790067222004468 subsets 1,3668,1,str\(\'H\'\),1,str\(\'stdev\'\),0.7790067222004468,1,23,None,None,1,None,i7185,,,,,,4595448
1745064931,1745064957,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4070 feature_id 23 batch_size 97 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7079607788616389 subsets 17,4070,97,str\(\'KL\'\),3,str\(\'tstat\'\),0.7079607788616389,17,23,0.33,7,0,None,i7185,7,676.59375,674.6796875,-1,0.0641958967571145,4595615
1745065222,1745065248,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2730 feature_id 23 batch_size 101 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7820918073276248 subsets 5,2730,101,str\(\'H\'\),1,str\(\'stdev\'\),0.7820918073276248,5,23,0.33,8,0,None,i7185,8,749.31640625,746.7526041666666,-1,0.04037061548643282,4595768
1745065531,1745065564,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4932 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.1941024407652198 subsets 34,4932,1,str\(\'H\'\),3,str\(\'tstat\'\),0.1941024407652198,34,23,0.34,13,0,None,i7185,13,702.35546875,687.1689453125,-1,0.0843812045003309,4595945
1745065882,1745065915,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3519 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.1935325990532556 subsets 1,3519,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.1935325990532556,1,23,0.34,14,0,None,i7185,14,692.078125,677.8466796875,-1,0.0843812045003309,4596132
1745066261,1745066274,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3872 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3170389579587619 subsets 32,3872,1,str\(\'H\'\),1,str\(\'stdev\'\),0.3170389579587619,32,23,None,None,1,None,i7183,,,,,,4596323
1745066621,1745066641,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4871 feature_id 23 batch_size 15 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8325838601798018 subsets 1,4871,15,str\(\'H\'\),3,str\(\'stdev\'\),0.8325838601798018,1,23,0.34,7,0,None,i7183,7,750.58984375,750.37109375,-1,0.06452680344142951,4596517
1745066911,1745066931,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1689 feature_id 23 batch_size 92 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.2140065464780838 subsets 17,1689,92,str\(\'KL\'\),2,str\(\'tstat\'\),0.2140065464780838,17,23,0.3,7,0,None,i7183,7,751.57421875,751.25390625,-1,0.03044341495698213,4596667
1745067279,1745067304,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2470 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7950851990216697 subsets 1,2470,1,str\(\'H\'\),2,str\(\'tstat\'\),0.7950851990216697,1,23,0.35,10,0,None,i7183,10,751.3671875,751.0755208333334,-1,0.0843812045003309,4596839
1745067631,1745067651,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2269 feature_id 23 batch_size 21 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.31794451706547566 subsets 26,2269,21,str\(\'H\'\),1,str\(\'stdev\'\),0.31794451706547566,26,23,0.35,8,0,None,i7183,8,751.05078125,750.90234375,-1,0.06949040370615486,4597010
1745067923,1745067949,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3641 feature_id 23 batch_size 120 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7636622656414873 subsets 60,3641,120,str\(\'H\'\),3,str\(\'tstat\'\),0.7636622656414873,60,23,0.34,8,0,None,i7185,8,735.28515625,724.5494791666666,-1,0.11912640635340833,4597162
1745068182,1745068214,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2403 feature_id 23 batch_size 32 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.49016955624560343 subsets 63,2403,32,str\(\'H\'\),3,str\(\'stdev\'\),0.49016955624560343,63,23,0.33,8,0,None,i7183,8,677.921875,674.08203125,-1,0.07974851091992058,4597299
1745068442,1745068558,116,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1463 feature_id 23 batch_size 35 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.4138675936217413 subsets 86,1463,35,str\(\'H\'\),2,str\(\'tstat\'\),0.4138675936217413,86,23,0.34,99,0,None,i7185,99,687.4765625,662.6520182291666,-1,0.06816677696889477,4597428
1745068714,1745068740,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3688 feature_id 23 batch_size 3 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.13475066977349578 subsets 35,3688,3,str\(\'KL\'\),3,str\(\'stdev\'\),0.13475066977349578,35,23,0.33,10,0,None,i7180,10,751.1875,750.99609375,-1,0.05658504301786896,4597575
1745069342,1745069375,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4890 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.6885039440240757 subsets 1,4890,1,str\(\'H\'\),2,str\(\'tstat\'\),0.6885039440240757,1,23,0.35,14,0,None,i7185,14,724.10546875,699.2646484375,-1,0.0843812045003309,4597879
1745069562,1745069589,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4113 feature_id 23 batch_size 2313 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6226353307338679 subsets 1,4113,2313,str\(\'KL\'\),1,str\(\'tstat\'\),0.6226353307338679,1,23,0.24,11,0,None,i7183,11,719.1015625,685.767578125,-1,0.10390469887491727,4597994
1745069876,1745069909,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4086 feature_id 23 batch_size 587 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.14648084040360201 subsets 70,4086,587,str\(\'H\'\),2,str\(\'tstat\'\),0.14648084040360201,70,23,0.26,12,0,None,i7180,12,749.9140625,749.677734375,-1,0.1942422236929186,4598154
1745070222,1745070248,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 223 feature_id 23 batch_size 363 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.142469097991507 subsets 85,223,363,str\(\'H\'\),3,str\(\'stdev\'\),0.142469097991507,85,23,0.31,8,0,None,i7183,8,713.9140625,703.4934895833334,-1,0.1201191264063534,4598337
1745070602,1745070629,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4562 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8064103833727181 subsets 54,4562,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.8064103833727181,54,23,0.34,12,0,None,i7183,12,745.125,734.1806640625,-1,0.0843812045003309,4598502
1745070982,1745071015,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4317 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.8709899126130529 subsets 1,4317,1,str\(\'H\'\),2,str\(\'stdev\'\),0.8709899126130529,1,23,0.35,12,0,None,i7183,12,712.92578125,683.9736328125,-1,0.0843812045003309,4598703
1745071342,1745071401,59,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3731 feature_id 23 batch_size 99 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6426286797808825 subsets 80,3731,99,str\(\'H\'\),2,str\(\'stdev\'\),0.6426286797808825,80,23,0.31,42,0,None,i7183,42,696.703125,672.6294642857143,-1,0.09827928524156188,4598873
1745072123,1745072149,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4995 feature_id 23 batch_size 42 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8492710223022585 subsets 46,4995,42,str\(\'KL\'\),3,str\(\'tstat\'\),0.8492710223022585,46,23,0.34,8,0,None,i7183,8,667.1328125,658.9700520833334,-1,0.04731965585704831,4599277
1745071782,1745072175,393,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3315 feature_id 23 batch_size 18 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.3761848711812291 subsets 99,3315,18,str\(\'KL\'\),1,str\(\'stdev\'\),0.3761848711812291,99,23,0.34,378,0,None,i7183,378,751.3125,678.85830078125,-1,0.13070814030443414,4599099
1745072433,1745072460,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2167 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.599003250207874 subsets 33,2167,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.599003250207874,33,23,0.34,13,0,None,i7180,13,751.63671875,751.46484375,-1,0.0843812045003309,4599442
1745072793,1745072826,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4608 feature_id 23 batch_size 118 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.584255455052777 subsets 71,4608,118,str\(\'KL\'\),1,str\(\'stdev\'\),0.584255455052777,71,23,0.31,19,0,None,i7183,19,748.046875,732.0107421875,-1,0.1585043017868961,4599632
1745073277,1745073303,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1982 feature_id 23 batch_size 477 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.15656859347568483 subsets 61,1982,477,str\(\'KL\'\),1,str\(\'stdev\'\),0.15656859347568483,61,23,0.27,12,0,None,i7185,12,750.5,701.92578125,-1,0,4599873
1745073603,1745073648,45,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2654 feature_id 23 batch_size 38 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.5203245129062058 subsets 59,2654,38,str\(\'KL\'\),2,str\(\'tstat\'\),0.5203245129062058,59,23,0.34,29,0,None,i7183,29,696.8359375,661.16328125,-1,0.07544672402382528,4600029
1745073924,1745073950,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 54 feature_id 23 batch_size 88 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5929451713414418 subsets 29,54,88,str\(\'KL\'\),3,str\(\'stdev\'\),0.5929451713414418,29,23,0.32,8,0,None,i7185,8,709.9140625,702.1796875,-1,0.08735936465916612,4600189
1745074263,1745074296,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4140 feature_id 23 batch_size 80 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.6488090607776228 subsets 63,4140,80,str\(\'KL\'\),2,str\(\'stdev\'\),0.6488090607776228,63,23,0.32,20,0,None,i7183,20,746.6796875,739.028125,-1,0.10589013898080742,4600356
1745074593,1745074625,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1363 feature_id 23 batch_size 41 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5760439831822411 subsets 2,1363,41,str\(\'KL\'\),2,str\(\'stdev\'\),0.5760439831822411,2,23,0.34,9,0,None,i7183,9,684.38671875,668.9518229166666,-1,0.16611515552614162,4600513
1745074955,1745074975,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 892 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8942708395272148 subsets 1,892,1,str\(\'H\'\),1,str\(\'stdev\'\),0.8942708395272148,1,23,None,None,1,None,i7180,,,,,,4600691
1745075324,1745075350,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4690 feature_id 23 batch_size 108 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6725737461912209 subsets 57,4690,108,str\(\'H\'\),1,str\(\'stdev\'\),0.6725737461912209,57,23,0.29,11,0,None,i7183,11,713.76171875,689,-1,0,4600853
1745075583,1745075610,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3648 feature_id 23 batch_size 124 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.8883659383396326 subsets 11,3648,124,str\(\'H\'\),1,str\(\'stdev\'\),0.8883659383396326,11,23,0.33,7,0,None,i7183,7,743.4453125,742.5,-1,0.08206485771012574,4600986
1745075883,1745075910,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3900 feature_id 23 batch_size 89 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.4149032575174948 subsets 47,3900,89,str\(\'H\'\),3,str\(\'tstat\'\),0.4149032575174948,47,23,0.32,7,0,None,i7185,7,744.96875,743.16015625,-1,0.07478491065519524,4601120
1745076224,1745076244,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1922 feature_id 23 batch_size 83 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.3034500447583796 subsets 16,1922,83,str\(\'KL\'\),2,str\(\'tstat\'\),0.3034500447583796,16,23,0.32,7,0,None,i7183,7,699.49609375,685.6354166666666,-1,0.0800794176042356,4601272
1745076544,1745076577,33,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4277 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.3622853281417326 subsets 1,4277,1,str\(\'KL\'\),3,str\(\'tstat\'\),0.3622853281417326,1,23,0.34,13,0,None,i7185,13,690.6796875,675.69921875,-1,0.0843812045003309,4601419
1745076864,1745076883,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4646 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.42526847143514107 subsets 21,4646,1,str\(\'H\'\),1,str\(\'stdev\'\),0.42526847143514107,21,23,None,None,1,None,i7185,,,,,,4601581
1745077144,1745077170,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 113 feature_id 23 batch_size 113 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.2273777092831665 subsets 18,113,113,str\(\'H\'\),1,str\(\'stdev\'\),0.2273777092831665,18,23,0.28,7,0,None,i7183,7,722.32421875,719.0846354166666,-1,0,4601724
1745077414,1745077441,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4410 feature_id 23 batch_size 203 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.23010989526515824 subsets 6,4410,203,str\(\'KL\'\),2,str\(\'stdev\'\),0.23010989526515824,6,23,0.32,8,0,None,i7185,8,747.6640625,747.0364583333334,-1,0.0671740569159497,4601843
1745077729,1745077749,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1183 feature_id 23 batch_size 56 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.3809412866855573 subsets 33,1183,56,str\(\'KL\'\),3,str\(\'stdev\'\),0.3809412866855573,33,23,0.34,8,0,None,i7185,8,662.40234375,655.6393229166666,-1,0.11118464592984778,4601990
1745078117,1745078144,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4623 feature_id 23 batch_size 43 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7546226868697886 subsets 28,4623,43,str\(\'H\'\),1,str\(\'tstat\'\),0.7546226868697886,28,23,0.33,11,0,None,i7183,11,751.0859375,751.0380859375,-1,0.14956982131039048,4602177
1745078444,1745078471,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3862 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5802817562149051 subsets 26,3862,1,str\(\'H\'\),3,str\(\'stdev\'\),0.5802817562149051,26,23,0.34,11,0,None,i7185,11,750.39453125,750.2685546875,-1,0.0843812045003309,4602344
1745078810,1745078830,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 840 feature_id 23 batch_size 2752 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.47544643808053977 subsets 72,840,2752,str\(\'KL\'\),1,str\(\'stdev\'\),0.47544643808053977,72,23,0.2,8,0,None,i7183,8,750.21875,750.0755208333334,-1,0.24917273328921244,4602501
1745079164,1745079183,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 199 feature_id 23 batch_size 300 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.1363018874056775 subsets 34,199,300,str\(\'H\'\),1,str\(\'tstat\'\),0.1363018874056775,34,23,0.3,7,0,None,i7183,7,750.75,750.5703125,-1,0.09927200529450694,4602663
1745079514,1745079632,118,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4192 feature_id 23 batch_size 56 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4316032586216081 subsets 97,4192,56,str\(\'H\'\),1,str\(\'stdev\'\),0.4316032586216081,97,23,0.33,102,0,None,i7185,102,750.30078125,749.9507211538462,-1,0.018530774321641297,4602832
1745079987,1745080007,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 18 feature_id 23 batch_size 30 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.7386216082237584 subsets 60,18,30,str\(\'KL\'\),3,str\(\'stdev\'\),0.7386216082237584,60,23,0.34,8,0,None,i7185,8,751.0546875,750.87109375,-1,0.07941760423560557,4603049
1745080247,1745080273,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3417 feature_id 23 batch_size 373 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.10905437353210544 subsets 22,3417,373,str\(\'H\'\),1,str\(\'tstat\'\),0.10905437353210544,22,23,0.3,9,0,None,i7185,9,751.58203125,751.3802083333334,-1,0.20251489080079418,4603169
1745080593,1745080619,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2898 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.8419146121978291 subsets 1,2898,1,str\(\'H\'\),3,str\(\'tstat\'\),0.8419146121978291,1,23,0.34,12,0,None,i7185,12,750.25390625,750.0625,-1,0.0843812045003309,4603331
1745080871,1745080896,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 186 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9372892988052675 subsets 100,186,1,str\(\'H\'\),3,str\(\'tstat\'\),0.9372892988052675,100,23,0.34,10,0,None,i7180,10,751.35546875,751.1884765625,-1,0.0843812045003309,4603455
1745081273,1745081299,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3245 feature_id 23 batch_size 8 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7605678565747569 subsets 29,3245,8,str\(\'KL\'\),3,str\(\'tstat\'\),0.7605678565747569,29,23,0.34,8,0,None,i7185,8,751.1875,750.9674479166666,-1,0.08471211118464593,4603635
1745081592,1745081611,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4049 feature_id 23 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9460673320326318 subsets 1,4049,1,str\(\'H\'\),1,str\(\'stdev\'\),0.9460673320326318,1,23,None,None,1,None,i7183,,,,,,4603782
1745081914,1745081953,39,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4107 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.641407253978015 subsets 34,4107,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.641407253978015,34,23,0.34,17,0,None,i7180,17,750.1875,750.0556640625,-1,0.0843812045003309,4603929
1745082232,1745082258,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3364 feature_id 23 batch_size 25 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7069118298476313 subsets 17,3364,25,str\(\'H\'\),3,str\(\'tstat\'\),0.7069118298476313,17,23,0.34,8,0,None,i7183,8,749.8984375,749.6770833333334,-1,0.09099933818663138,4604063
1745082577,1745082603,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4091 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5422051850797495 subsets 19,4091,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.5422051850797495,19,23,0.34,12,0,None,i7185,12,750.7890625,750.654296875,-1,0.0843812045003309,4604192
1745082970,1745082983,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 189 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.4576379415881678 subsets 2,189,1,str\(\'KL\'\),1,str\(\'stdev\'\),0.4576379415881678,2,23,None,None,1,None,i7183,,,,,,4604365
1745083330,1745083356,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 255 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.8723436303130696 subsets 1,255,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.8723436303130696,1,23,0.34,11,0,None,i7183,11,750.21484375,750.0986328125,-1,0.0843812045003309,4604522
1745083653,1745083679,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3297 feature_id 23 batch_size 1 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4346209850071949 subsets 58,3297,1,str\(\'KL\'\),3,str\(\'stdev\'\),0.4346209850071949,58,23,0.34,12,0,None,i7185,12,751.29296875,751.15625,-1,0.0843812045003309,4604654

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/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4550149/4550149_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4551752/4551752_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552426/4552426_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553110/4553110_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553373/4553373_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553825/4553825_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4554334/4554334_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4554737/4554737_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4555097/4555097_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4555719/4555719_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556280/4556280_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556742/4556742_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557205/4557205_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557775/4557775_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4558343/4558343_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4558771/4558771_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4559169/4559169_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4559716/4559716_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560251/4560251_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560649/4560649_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561174/4561174_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561499/4561499_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561945/4561945_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562298/4562298_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562649/4562649_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563049/4563049_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563550/4563550_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564122/4564122_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564462/4564462_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564853/4564853_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565265/4565265_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565667/4565667_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565975/4565975_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566438/4566438_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566749/4566749_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567119/4567119_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567484/4567484_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567817/4567817_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568266/4568266_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568779/4568779_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569138/4569138_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570062/4570062_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570565/4570565_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571034/4571034_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571445/4571445_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571809/4571809_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572099/4572099_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572572/4572572_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572971/4572971_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573759/4573759_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574166/4574166_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574694/4574694_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575094/4575094_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575544/4575544_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575924/4575924_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576385/4576385_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576780/4576780_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577106/4577106_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577428/4577428_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577766/4577766_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578534/4578534_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578954/4578954_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579313/4579313_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579618/4579618_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580047/4580047_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580373/4580373_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580816/4580816_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581100/4581100_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581540/4581540_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581769/4581769_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582131/4582131_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582498/4582498_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582720/4582720_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583073/4583073_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583699/4583699_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584259/4584259_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584762/4584762_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585097/4585097_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585413/4585413_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585756/4585756_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585968/4585968_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586200/4586200_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586439/4586439_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586790/4586790_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587069/4587069_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587353/4587353_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587684/4587684_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587953/4587953_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588200/4588200_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588475/4588475_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588747/4588747_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4589106/4589106_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4589416/4589416_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4589755/4589755_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4590037/4590037_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4590680/4590680_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4591017/4591017_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4595448/4595448_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4596323/4596323_0_log.err not found


⚠ Job 4597731 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597731/4597731_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597731/4597731_0_log.out
----------------------------------------
submitit INFO (2025-04-19 15:23:38,501) - Starting with JobEnvironment(job_id=4597731, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 15:23:38,503) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597731/4597731_submitted.pkl
slurmstepd: error: *** JOB 4597731 ON i7183 CANCELLED AT 2025-04-19T15:53:58 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597731/4597731_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4600691/4600691_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601581/4601581_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4603782/4603782_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4604365/4604365_0_log.err not found

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1745078795.724488,20,2,10
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1745079150.8653543,20,1,5
1745079151.3721118,20,1,5
1745079153.287662,20,2,10
1745079154.4187346,20,2,10
1745079166.5360465,20,1,5
1745079166.6494458,20,1,5
1745079495.141964,20,1,5
1745079495.660955,20,1,5
1745079497.27952,20,2,10
1745079498.3690746,20,2,10
1745079510.565793,20,1,5
1745079510.7876813,20,1,5

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timestamp,ram_usage_mb,cpu_usage_percent
1744997496,633.0390625,33.2
1744997496,633.0390625,38.4
1744997496,633.078125,34.0
1744997496,633.078125,40.0
1744997496,633.078125,39.0
1744997496,633.078125,34.7
1744997496,633.078125,24.3
1744997896,666.96484375,36.1
1744997896,666.96484375,45.7
1744997897,666.96484375,40.1
1744997897,666.96484375,46.3
1745007944,864.62109375,51.9
1745007944,864.62109375,56.1
1745007944,864.62109375,54.9
1745007944,864.62109375,54.0
1745018257,863.68359375,54.8
1745018257,863.68359375,53.3
1745018257,863.68359375,53.0
1745018257,863.68359375,54.0
1745029008,867.72265625,54.8
1745029008,867.72265625,57.8
1745029008,867.72265625,59.1
1745029008,867.72265625,60.7
1745040310,879.515625,55.1
1745040310,879.515625,55.6
1745040310,879.515625,57.1
1745040310,879.515625,56.9
1745051072,890.30859375,51.9
1745051072,890.30859375,46.7
1745051072,890.30859375,45.6
1745051072,890.30859375,47.8
1745059734,911.8203125,44.5
1745059734,911.8203125,38.4
1745059734,911.8203125,37.1
1745059734,911.8203125,48.3
1745066275,892.9375,35.8
1745066275,892.9375,40.4
1745066275,892.9375,38.7
1745066275,892.9375,32.4
1745072812,893.02734375,28.2
1745072812,893.02734375,32.6
1745072812,893.02734375,32.5
1745072812,893.02734375,34.8
1745079519,893.11328125,24.4
1745079519,893.11328125,17.0
1745079520,893.11328125,17.5
1745079520,893.11328125,17.6

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Correlation Heatmap Explanation

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

How It Works

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

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

Color Scale: Yellow to Purple (Viridis)

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

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

What the Heatmap Shows

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

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				background-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 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stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' 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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 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stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23bdd3fb' d='M8 12h1'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath 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			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1M1 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' 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			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 17px;
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			}
			
			.window{
				box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
				border-top-left-radius: 8px;
				border-top-right-radius: 8px;
				padding: 0 0 3px;
				-webkit-font-smoothing: antialiased
			}
			
			.title-bar{
				background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
				padding: 3px 5px 3px 3px;
				border-top: 1px solid #0831d9;
				border-left: 1px solid #0831d9;
				border-right: 1px solid #001ea0;
				border-top-left-radius: 8px;
				border-top-right-radius: 7px;
				font-size: 13px;
				text-shadow: 1px 1px #0f1089;
				height: 21px
			}
			
			.title-bar-text{
				padding-left: 3px
			}
			
			.title-bar-controls{
				display: flex
			}
			
			.title-bar-controls button{
				min-width: 21px;
				min-height: 21px;
				margin-left: 2px;
				background-repeat: no-repeat;
				background-position: 50%;
				box-shadow: none;
				background-color: #0050ee;
				transition: background .1s;
				border: none
			}
			
			.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
				box-shadow: none!important
			}
			
			.title-bar-controls button[aria-label=Minimize]{
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stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			menu[role=tablist] button{
				background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
				margin-left: -1px;
				margin-right: 2px;
				border-radius: 0;
				border-color: #91a7b4;
				border-top-right-radius: 3px;
				border-top-left-radius: 3px;
				padding: 0 12px 3px
			}
			
			menu[role=tablist] button: hover{
				box-shadow: unset;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]{
				border-color: #919b9c;
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c
			}
			
			menu[role=tablist] button[aria-selected=true]: first-of-type: before{
				content: "";
				display: block;
				position: absolute;
				z-index: -1;
				top: 100%;
				left: -1px;
				height: 2px;
				width: 0;
				border-left: 1px solid #919b9c
			}
			
			[role=tabpanel]{
				box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
			}
			
			ul.tree-view{
				-webkit-font-smoothing: auto;
				border: 1px solid #7f9db9;
				padding: 2px 5px
			}
			
			@keyframes sliding{
				0%{
					transform: translateX(-30px)
				}
			
				to{
					transform: translateX(100%)
				}
			}
			
			progress{
				box-sizing: border-box;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				height: 14px;
				border: 1px solid #686868;
				border-radius: 4px;
				padding: 1px 2px 1px 0;
				overflow: hidden;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress,progress: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				height: 14px
			}
			
			progress[value]: :-webkit-progress-bar{
				background-color: transparent
			}
			
			progress[value]: :-webkit-progress-value{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress[value]: :-moz-progress-bar{
				border-radius: 2px;
				background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]): :-webkit-progress-bar{
				width: 100%;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
				animation: sliding 2s linear 0s infinite
			}
			
			progress: not([value]): :-webkit-progress-bar: not([value]){
				animation: sliding 2s linear 0s infinite;
				background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
			}
			
			progress: not([value]){
				position: relative
			}
			
			progress: not([value]): before{
				box-sizing: border-box;
				content: "";
				position: absolute;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				background-color: #fff;
				-webkit-box-shadow: inset 0 0 1px 0 #686868;
				-moz-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before,progress: not([value]): before: not([value]){
				box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): before: not([value]){
				-moz-box-shadow: inset 0 0 1px 0 #686868;
				-webkit-box-shadow: inset 0 0 1px 0 #686868
			}
			
			progress: not([value]): after{
				box-sizing: border-box;
				content: "";
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3738 feature_id 23 batch_size 390 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.6670143312737346 subsets 22",
			        3738,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3240 feature_id 23 batch_size 2632 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5416695001553744 subsets 69",
			        3240,
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			        26,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2033 feature_id 23 batch_size 1955 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.14904169979132711 subsets 44",
			        2033,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 428 feature_id 23 batch_size 4135 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.4537130312137306 subsets 94",
			        428,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4221 feature_id 23 batch_size 967 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.8563666853308678 subsets 19",
			        4221,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4978 feature_id 23 batch_size 4618 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.7398109425585717 subsets 87",
			        4978,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2560 feature_id 23 batch_size 1794 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.9224062781482935 subsets 37",
			        2560,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 998 feature_id 23 batch_size 288 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.07425447625853121 subsets 2",
			        998,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2773 feature_id 23 batch_size 3528 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.10168174573220312 subsets 9",
			        2773,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1254 feature_id 23 batch_size 1686 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.7128657579254359 subsets 80",
			        1254,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1211 feature_id 23 batch_size 4414 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.9025692312717438 subsets 30",
			        1211,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4692 feature_id 23 batch_size 62 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.28184678898379206 subsets 59",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4200 feature_id 23 batch_size 4341 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.1837457779739052 subsets 41",
			        4200,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 533 feature_id 23 batch_size 1191 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.5064833371322602 subsets 72",
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			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2011 feature_id 23 batch_size 2721 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.8135850798636675 subsets 22",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3344 feature_id 23 batch_size 2061 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.4969786250554025 subsets 91",
			        3344,
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			        27,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3472 feature_id 23 batch_size 4936 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.37279312046058477 subsets 50",
			        3472,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3683 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 16",
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			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 4516 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 32",
			        5000,
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3897 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 17",
			        3897,
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			    [
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2000 feature_id 23 batch_size 887 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 63",
			        2000,
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			    [
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			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 15",
			        5000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 32",
			        5000,
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			    [
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			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1598 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 16",
			        1598,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 16",
			        5000,
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			    [
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			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4992 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 15",
			        4992,
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			        "str\\(\\'H\\'\\)",
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			    [
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			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 72 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 15",
			        72,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4854 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 40",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 458 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 15",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 20",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 481 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 15",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 176 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 21",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3826 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 15",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1039 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 33",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 15",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 17",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 34",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3703 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 17",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2948 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 17",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2424 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 14",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3654 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 19",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4808 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 15",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 12",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4030 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 20",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1257 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 14",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 944 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 29",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 17",
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			        14,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1423 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 13",
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			        26,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 41",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 17",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2203 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 14",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 21",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 31",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 23 batch_size 394 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 14",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 17",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2898 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 18",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 444 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 41",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4368 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 15",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 691 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 23",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 621 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 36",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1416 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 21",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 331 feature_id 23 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 64",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 18",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3195 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 17",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 19",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 999 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 22",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 775 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 39",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 21",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4629 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 15",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 20",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2432 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 26",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4348 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3636 feature_id 23 batch_size 660 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 78",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 814 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 19",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 19",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 28",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 761 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 37",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 19",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2658 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 21",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 220 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 39",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2647 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 23",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4778 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2245 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 14",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1156 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4698 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 40",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 14",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1704 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 39",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 15",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 40",
			        5000,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 15",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2136 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 15",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2910 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 14",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 912 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 35",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 19",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 543 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 40",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3660 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 62",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2672 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.9630794920847846 subsets 15",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2904 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 11",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3468 feature_id 23 batch_size 91 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.5242538682437426 subsets 21",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4128 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.7457057413522633 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1422 feature_id 23 batch_size 64 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.48580430718449774 subsets 38",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2388 feature_id 23 batch_size 24 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.54047306573047 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2659 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3137 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2787 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.5995272213220671 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4538 feature_id 23 batch_size 105 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.6582143430677888 subsets 36",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 423 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.5358201094732223 subsets 100",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1048 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2543 feature_id 23 batch_size 113 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.30038495251947017 subsets 30",
			        2543,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2818 feature_id 23 batch_size 679 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.03494803434113656 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2404 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.3105357128577333 subsets 100",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 175 feature_id 23 batch_size 88 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.2169972515021719 subsets 17",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3057 feature_id 23 batch_size 173 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.7498720930795846 subsets 96",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 977 feature_id 23 batch_size 24 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.1703567628014544 subsets 80",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1487 feature_id 23 batch_size 2250 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.44951399429551786 subsets 1",
			        1487,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2164 feature_id 23 batch_size 116 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.6132848893232568 subsets 65",
			        2164,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1179 feature_id 23 batch_size 48 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.3798281428787745 subsets 97",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2735 feature_id 23 batch_size 170 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.45971664287769665 subsets 95",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2522 feature_id 23 batch_size 42 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.7758471907456594 subsets 76",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2010 feature_id 23 batch_size 87 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.1696551187479481 subsets 63",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1571 feature_id 23 batch_size 8 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.4053113213272654 subsets 52",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 98 feature_id 23 batch_size 5 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.4897432697672207 subsets 16",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3668 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.7790067222004468 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4070 feature_id 23 batch_size 97 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.7079607788616389 subsets 17",
			        4070,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2730 feature_id 23 batch_size 101 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.7820918073276248 subsets 5",
			        2730,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4932 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.1941024407652198 subsets 34",
			        4932,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3519 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.1935325990532556 subsets 1",
			        3519,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3872 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.3170389579587619 subsets 32",
			        3872,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4871 feature_id 23 batch_size 15 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.8325838601798018 subsets 1",
			        4871,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1689 feature_id 23 batch_size 92 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.2140065464780838 subsets 17",
			        1689,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2470 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.7950851990216697 subsets 1",
			        2470,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2269 feature_id 23 batch_size 21 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.31794451706547566 subsets 26",
			        2269,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3641 feature_id 23 batch_size 120 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.7636622656414873 subsets 60",
			        3641,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2403 feature_id 23 batch_size 32 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.49016955624560343 subsets 63",
			        2403,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1463 feature_id 23 batch_size 35 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.4138675936217413 subsets 86",
			        1463,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3688 feature_id 23 batch_size 3 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.13475066977349578 subsets 35",
			        3688,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4890 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.6885039440240757 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4113 feature_id 23 batch_size 2313 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.6226353307338679 subsets 1",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4086 feature_id 23 batch_size 587 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.14648084040360201 subsets 70",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 223 feature_id 23 batch_size 363 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.142469097991507 subsets 85",
			        223,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4562 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.8064103833727181 subsets 54",
			        4562,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4317 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.8709899126130529 subsets 1",
			        4317,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3731 feature_id 23 batch_size 99 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.6426286797808825 subsets 80",
			        3731,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4995 feature_id 23 batch_size 42 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.8492710223022585 subsets 46",
			        4995,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3315 feature_id 23 batch_size 18 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.3761848711812291 subsets 99",
			        3315,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2167 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.599003250207874 subsets 33",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4608 feature_id 23 batch_size 118 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.584255455052777 subsets 71",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1982 feature_id 23 batch_size 477 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.15656859347568483 subsets 61",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2654 feature_id 23 batch_size 38 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.5203245129062058 subsets 59",
			        2654,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 54 feature_id 23 batch_size 88 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.5929451713414418 subsets 29",
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4140 feature_id 23 batch_size 80 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.6488090607776228 subsets 63",
			        4140,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1363 feature_id 23 batch_size 41 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.5760439831822411 subsets 2",
			        1363,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 892 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.8942708395272148 subsets 1",
			        892,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4690 feature_id 23 batch_size 108 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.6725737461912209 subsets 57",
			        4690,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3648 feature_id 23 batch_size 124 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.8883659383396326 subsets 11",
			        3648,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3900 feature_id 23 batch_size 89 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.4149032575174948 subsets 47",
			        3900,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1922 feature_id 23 batch_size 83 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.3034500447583796 subsets 16",
			        1922,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4277 feature_id 23 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.3622853281417326 subsets 1",
			        4277,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4646 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.42526847143514107 subsets 21",
			        4646,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 113 feature_id 23 batch_size 113 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.2273777092831665 subsets 18",
			        113,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4410 feature_id 23 batch_size 203 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.23010989526515824 subsets 6",
			        4410,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1183 feature_id 23 batch_size 56 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.3809412866855573 subsets 33",
			        1183,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4623 feature_id 23 batch_size 43 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.7546226868697886 subsets 28",
			        4623,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3862 feature_id 23 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.5802817562149051 subsets 26",
			        3862,
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			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 TMDBalanced5s 2000 HoeffdingTreeClassifier CDBD recent_samples_size 840 feature_id 23 batch_size 2752 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.47544643808053977 subsets 72",
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			        20,
			        2,
			        10
			    ],
			    [
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			        20,
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			        10
			    ],
			    [
			        1745075327.893343,
			        20,
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			        5
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			        20,
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			        20,
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			    ],
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			        1745075577.8474202,
			        20,
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			    ],
			    [
			        1745075579.4974105,
			        20,
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			        10
			    ],
			    [
			        1745075580.7261975,
			        20,
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			        10
			    ],
			    [
			        1745075592.692901,
			        20,
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			        5
			    ],
			    [
			        1745075592.8066306,
			        20,
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			        20,
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			    ],
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			        20,
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			    ],
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			        1745075892.4787412,
			        20,
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			        20,
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			    ],
			    [
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			        20,
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			        10
			    ],
			    [
			        1745076229.2846832,
			        20,
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			        5
			    ],
			    [
			        1745076229.4102411,
			        20,
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			        5
			    ],
			    [
			        1745076521.4101527,
			        20,
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			    ],
			    [
			        1745076522.1521387,
			        20,
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			    ],
			    [
			        1745076523.7757783,
			        20,
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			    ],
			    [
			        1745076524.8739302,
			        20,
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			    ],
			    [
			        1745076536.7582467,
			        20,
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			    ],
			    [
			        1745076536.8789682,
			        20,
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			    ],
			    [
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			        20,
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			    ],
			    [
			        1745076851.537341,
			        20,
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			    [
			        1745076853.2707872,
			        20,
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			    ],
			    [
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			        20,
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			    ],
			    [
			        1745076866.568005,
			        20,
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			    [
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			        20,
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
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			    [
			        1745077411.292731,
			        20,
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			    [
			        1745077423.0249913,
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			    [
			        1745077423.1319282,
			        20,
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			    [
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			        20,
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			    [
			        1745077710.4945076,
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			    [
			        1745077712.2125807,
			        20,
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			    ],
			    [
			        1745077713.3128457,
			        20,
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			    ],
			    [
			        1745077724.7476609,
			        20,
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			    [
			        1745077724.868423,
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			    [
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			    [
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			    ],
			    [
			        1745078082.2629607,
			        20,
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			    ],
			    [
			        1745078083.4466634,
			        20,
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			    ],
			    [
			        1745078097.5213423,
			        20,
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			    ],
			    [
			        1745078097.628458,
			        20,
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			    ],
			    [
			        1745078437.8596268,
			        20,
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			    ],
			    [
			        1745078438.4265022,
			        20,
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			    ],
			    [
			        1745078440.3192344,
			        20,
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			    ],
			    [
			        1745078441.6786695,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078454.249132,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078454.3586802,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078792.2256286,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078792.7982934,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078794.4843197,
			        20,
			        2,
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			    ],
			    [
			        1745078795.724488,
			        20,
			        2,
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			    ],
			    [
			        1745078807.9487863,
			        20,
			        1,
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			    ],
			    [
			        1745078808.088442,
			        20,
			        1,
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			    ],
			    [
			        1745079150.8653543,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079151.3721118,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079153.287662,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079154.4187346,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079166.5360465,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079166.6494458,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079495.141964,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079495.660955,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079497.27952,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079498.3690746,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079510.565793,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079510.7876813,
			        20,
			        1,
			        5
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1744997496,
			        633.0390625,
			        33.2
			    ],
			    [
			        1744997496,
			        633.0390625,
			        38.4
			    ],
			    [
			        1744997496,
			        633.078125,
			        34
			    ],
			    [
			        1744997496,
			        633.078125,
			        40
			    ],
			    [
			        1744997496,
			        633.078125,
			        39
			    ],
			    [
			        1744997496,
			        633.078125,
			        34.7
			    ],
			    [
			        1744997496,
			        633.078125,
			        24.3
			    ],
			    [
			        1744997896,
			        666.96484375,
			        36.1
			    ],
			    [
			        1744997896,
			        666.96484375,
			        45.7
			    ],
			    [
			        1744997897,
			        666.96484375,
			        40.1
			    ],
			    [
			        1744997897,
			        666.96484375,
			        46.3
			    ],
			    [
			        1745007944,
			        864.62109375,
			        51.9
			    ],
			    [
			        1745007944,
			        864.62109375,
			        56.1
			    ],
			    [
			        1745007944,
			        864.62109375,
			        54.9
			    ],
			    [
			        1745007944,
			        864.62109375,
			        54
			    ],
			    [
			        1745018257,
			        863.68359375,
			        54.8
			    ],
			    [
			        1745018257,
			        863.68359375,
			        53.3
			    ],
			    [
			        1745018257,
			        863.68359375,
			        53
			    ],
			    [
			        1745018257,
			        863.68359375,
			        54
			    ],
			    [
			        1745029008,
			        867.72265625,
			        54.8
			    ],
			    [
			        1745029008,
			        867.72265625,
			        57.8
			    ],
			    [
			        1745029008,
			        867.72265625,
			        59.1
			    ],
			    [
			        1745029008,
			        867.72265625,
			        60.7
			    ],
			    [
			        1745040310,
			        879.515625,
			        55.1
			    ],
			    [
			        1745040310,
			        879.515625,
			        55.6
			    ],
			    [
			        1745040310,
			        879.515625,
			        57.1
			    ],
			    [
			        1745040310,
			        879.515625,
			        56.9
			    ],
			    [
			        1745051072,
			        890.30859375,
			        51.9
			    ],
			    [
			        1745051072,
			        890.30859375,
			        46.7
			    ],
			    [
			        1745051072,
			        890.30859375,
			        45.6
			    ],
			    [
			        1745051072,
			        890.30859375,
			        47.8
			    ],
			    [
			        1745059734,
			        911.8203125,
			        44.5
			    ],
			    [
			        1745059734,
			        911.8203125,
			        38.4
			    ],
			    [
			        1745059734,
			        911.8203125,
			        37.1
			    ],
			    [
			        1745059734,
			        911.8203125,
			        48.3
			    ],
			    [
			        1745066275,
			        892.9375,
			        35.8
			    ],
			    [
			        1745066275,
			        892.9375,
			        40.4
			    ],
			    [
			        1745066275,
			        892.9375,
			        38.7
			    ],
			    [
			        1745066275,
			        892.9375,
			        32.4
			    ],
			    [
			        1745072812,
			        893.02734375,
			        28.2
			    ],
			    [
			        1745072812,
			        893.02734375,
			        32.6
			    ],
			    [
			        1745072812,
			        893.02734375,
			        32.5
			    ],
			    [
			        1745072812,
			        893.02734375,
			        34.8
			    ],
			    [
			        1745079519,
			        893.11328125,
			        24.4
			    ],
			    [
			        1745079519,
			        893.11328125,
			        17
			    ],
			    [
			        1745079520,
			        893.11328125,
			        17.5
			    ],
			    [
			        1745079520,
			        893.11328125,
			        17.6
			    ]
			];
			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>795   </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>295   </td></tr></tbody></table><h2>Experiment parameters:                                                    </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Values</th><th>Type</th><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> feature_id</td><td>FixedParameter</td><td></td><td></td><td>23</td><td></td><td></td></tr><tr><td> batch_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> divergence</td><td>choice</td><td></td><td></td><td>str\(\&#039;H\&#039;\), str\(\&#039;KL\&#039;\)</td><td></td><td></td></tr><tr><td> detect_batch</td><td>choice</td><td></td><td></td><td>1, 2, 3</td><td></td><td></td></tr><tr><td> statistic</td><td>choice</td><td></td><td></td><td>str\(\&#039;stdev\&#039;\), str\(\&#039;tstat\&#039;\)</td><td></td><td></td></tr><tr><td> significance</td><td>float</td><td>0.001</td><td>0.999</td><td></td><td>float</td><td>No         </td></tr><tr><td> subsets</td><td>int</td><td>1</td><td>100</td><td></td><td>int</td><td>No         </td></tr></tbody></table><h2>Number of evaluations</h2>
			<table>
			<tbody>
			<tr>
			<th>Failed</th>
			<th>Succeeded</th>
			<th>Running</th>
			<th>Total</th>
			</tr>
			<tr>
			<td>229</td>
			<td>401</td>
			<td>2</td>
			<td>632</td>
			</tr>
			</tbody>
			</table>
			<h2>Result names and types</h2>
			<table>
			<tr><th>name</th><th>min/max</th></tr>
			<tr>
			<td>ACCURACY</td>
			<td>max</td>
			</tr>
			<tr>
			<td>RUNTIME</td>
			<td>min</td>
			</tr>
			</table>
			<br>
			<h2>Git-Version</h2>
			<tt>Commit: 2223ae6553abdd3e288f4b391080b763a7a48477
			</tt>
			<h1>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,batch_size,divergence,detect_batch,statistic,significance,subsets,feature_id
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,8.000000000000000000000000000000,4360,2004,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.419973975956439982137879951551,76,23
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1633,3167,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.620865220913663473645272006252,21,23
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.280000000000000026645352591004,7.000000000000000000000000000000,1176,453,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.871640210360288603119727213198,55,23
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3450,4134,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.169312226330861459455690010145,50,23
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2513,1225,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.313960019920021315975589004665,68,23
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,236,4884,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.641307108262553771105274336151,38,23
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1946,1545,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.891476506233215282293258496793,88,23
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4669,2730,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.063667832856997855217606741007,8,23
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.289999999999999980015985556747,11.000000000000000000000000000000,4765,302,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.246861492475494742615538257269,71,23
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,2486,3981,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.793982933536171886501620065246,28,23
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,11.000000000000000000000000000000,331,2477,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.543818026715889524247415920399,97,23
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3052,3643,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.497158706057816757173384303314,5,23
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,7.000000000000000000000000000000,3369,1706,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.017305129816755651650517222606,86,23
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,641,2889,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.937945346161723092492934483744,18,23
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.239999999999999991118215802999,5.000000000000000000000000000000,1553,761,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.687167769098654401815906567208,59,23
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,3825,4422,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.267963747162371868082431092262,41,23
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.220000000000000001110223024625,5.000000000000000000000000000000,3919,910,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.988281207844614928426096867042,24,23
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,7.000000000000000000000000000000,1333,4574,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.036940796187147496854041861525,79,23
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,852,1859,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.287235838551074262881002141512,47,23
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,3266,3040,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.738114665174856798834923665709,53,23
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,2950,2319,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.774832668319344497476208744047,34,23
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,540,3477,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.196036422571167351369680886819,65,23
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.309999999999999997779553950750,6.000000000000000000000000000000,2267,138,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.446701018203049915467062191965,11,23
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,4857,3824,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.524060534173622749598564496409,92,23
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,5.000000000000000000000000000000,4459,1396,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.660473077634349481357389777259,31,23
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,6.000000000000000000000000000000,2050,2574,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.364800793979316972936999263766,74,23
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.250000000000000000000000000000,6.000000000000000000000000000000,142,1071,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.114141224866732948761693933193,2,23
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,9.000000000000000000000000000000,2733,4737,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.911249702930450489191116503207,95,23
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.260000000000000008881784197001,5.000000000000000000000000000000,3669,612,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.570513655075803427507707965560,14,23
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.200000000000000011102230246252,4.000000000000000000000000000000,1084,4295,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.400322596136480579609440155764,82,23
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,23
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,9.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,23
32,32_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,23
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,21.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19,23
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,23
35,35_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36,23
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,9.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,23
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,11.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,23
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,23
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,23
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,16.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,23
41,41_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,35,23
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,23
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,23
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,23
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,23
46,46_0,FAILED,BoTorch,GenerationStep_1,,,3281,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37,23
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,544,147,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78,23
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,9.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,23
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,9.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,23
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14,23
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,9.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,23
52,52_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,23
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,40,23
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3086,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,23
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,21.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19,23
56,56_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,23
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,995,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,23
58,58_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,24.000000000000000000000000000000,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,23
59,59_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,23
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,161,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,85,23
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,11.000000000000000000000000000000,1,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,42,23
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,6.000000000000000000000000000000,4495,458,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,9,23
63,63_0,FAILED,BoTorch,GenerationStep_1,,,536,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,84,23
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,918,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43,23
65,65_0,FAILED,BoTorch,GenerationStep_1,,,1399,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39,23
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,3225,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,57,23
67,67_0,FAILED,BoTorch,GenerationStep_1,,,1856,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,47,23
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,658,558,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,23
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1807,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,81,23
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.289999999999999980015985556747,5.000000000000000000000000000000,4647,417,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,8,23
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,11.000000000000000000000000000000,777,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40,23
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,2637,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,23
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,2231,335,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,23
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,6.000000000000000000000000000000,3969,303,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,85,23
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,4578,658,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,10,23
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1822,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,88,23
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,11.000000000000000000000000000000,3349,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61,23
78,78_0,FAILED,BoTorch,GenerationStep_1,,,1915,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,88,23
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,1,482,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,23
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1438,677,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,10,23
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,485,971,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14,23
82,82_0,FAILED,BoTorch,GenerationStep_1,,,2428,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,59,23
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,2860,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,8,23
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,17.000000000000000000000000000000,3029,254,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,84,23
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,1105,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,36,23
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,7.000000000000000000000000000000,631,229,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,46,23
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,3156,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,60,23
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,14.000000000000000000000000000000,74,486,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,92,23
89,89_0,FAILED,BoTorch,GenerationStep_1,,,2991,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,23
90,90_0,FAILED,BoTorch,GenerationStep_1,,,2416,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,23
91,91_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,23
92,92_0,FAILED,BoTorch,GenerationStep_1,,,3860,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,28,23
93,93_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,23
94,94_0,FAILED,BoTorch,GenerationStep_1,,,3455,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,23
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4991,1937,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,2,23
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,6.000000000000000000000000000000,5000,428,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,23
97,97_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,52,23
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3257,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,40,23
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,246,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,23
100,100_0,FAILED,BoTorch,GenerationStep_1,,,4325,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27,23
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3213,4774,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,73,23
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2397,629,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48,23
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3728,2429,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,23
104,104_0,FAILED,BoTorch,GenerationStep_1,,,1915,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36,23
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,4380,2104,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,23
106,106_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24,23
107,107_0,FAILED,BoTorch,GenerationStep_1,,,4212,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50,23
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,7.000000000000000000000000000000,5000,277,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,50,23
109,109_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,23
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,8.000000000000000000000000000000,5000,445,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,23
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,5.000000000000000000000000000000,5000,802,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,23
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,7.000000000000000000000000000000,4783,329,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,30,23
113,113_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,23
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2613,3644,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,23
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1533,1001,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,23
116,116_0,FAILED,BoTorch,GenerationStep_1,,,535,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25,23
117,117_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,23
118,118_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,23
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,27,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,62,23
120,120_0,FAILED,BoTorch,GenerationStep_1,,,3615,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43,23
121,121_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,23
122,122_0,FAILED,BoTorch,GenerationStep_1,,,3444,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19,23
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2108,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,23
124,124_0,FAILED,BoTorch,GenerationStep_1,,,3402,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
125,109_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,23
126,126_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44,23
127,127_0,FAILED,BoTorch,GenerationStep_1,,,4581,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53,23
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4679,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,23
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,5.000000000000000000000000000000,784,339,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15,23
130,130_0,FAILED,BoTorch,GenerationStep_1,,,721,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15,23
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,2781,716,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,11,23
132,113_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,23
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,65,23
134,134_0,FAILED,BoTorch,GenerationStep_1,,,58,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33,23
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1881,2431,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,53,23
136,136_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19,23
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,23
138,138_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30,23
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55,23
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,52,4163,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,23
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,2745,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33,23
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4015,4338,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23,23
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,18.000000000000000000000000000000,2139,493,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,23
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,8.000000000000000000000000000000,1,368,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48,23
145,145_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41,23
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,5000,748,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,23
147,147_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,4402,627,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,79,23
148,117_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,23
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,4923,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17,23
150,150_0,FAILED,BoTorch,GenerationStep_1,,,4213,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,23
151,151_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
152,152_0,FAILED,BoTorch,GenerationStep_1,,,1479,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,23
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,541,739,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,44,23
154,154_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,669,674,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,23
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,127,4303,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,23
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,1118,457,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75,23
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,6.000000000000000000000000000000,4876,280,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22,23
158,158_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19,23
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4387,3456,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,12,23
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4983,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5,23
161,161_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,9.000000000000000000000000000000,621,4417,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,23
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4410,1820,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,48,23
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,2277,427,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,34,23
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4918,4416,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,23
165,165_0,FAILED,BoTorch,GenerationStep_1,,,826,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19,23
166,166_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,6,23
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,6.000000000000000000000000000000,301,509,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,79,23
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,2516,862,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11,23
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,92,524,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,7,23
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4653,3754,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,23
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,6.000000000000000000000000000000,2433,834,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,80,23
172,172_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38,23
173,173_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,23
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2097,4672,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41,23
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,4545,242,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19,23
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,996,2051,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,83,23
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1491,3111,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,23
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,270,164,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,16,23
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,8.000000000000000000000000000000,5000,4092,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,23
180,180_0,FAILED,BoTorch,GenerationStep_1,,,1533,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,23
181,181_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19,23
182,182_0,FAILED,BoTorch,GenerationStep_1,,,2199,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17,23
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4044,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,23
184,184_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,29,23
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2244,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,85,23
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,433,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,23
187,187_0,FAILED,BoTorch,GenerationStep_1,,,149,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,23
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,78,23
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,4603,874,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,10,23
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,6.000000000000000000000000000000,5000,864,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,56,23
191,191_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,26,23
192,192_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17,23
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,128,505,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26,23
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,323,2789,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,93,23
195,195_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3485,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,35,23
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,10.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,23
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,68,23
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2612,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,86,23
199,199_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26,23
200,200_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2171,2177,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,11,23
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,7.000000000000000000000000000000,746,377,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,23
202,202_0,FAILED,BoTorch,GenerationStep_1,,,1125,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,23
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4289,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,23
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4550,2270,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,23
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1383,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,23
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4454,4209,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41,23
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,5.000000000000000000000000000000,1576,791,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,23
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,3879,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,23
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,452,384,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19,23
210,210_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,23
211,211_0,FAILED,BoTorch,GenerationStep_1,,,276,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37,23
212,212_0,FAILED,BoTorch,GenerationStep_1,,,4304,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,23
213,213_0,FAILED,BoTorch,GenerationStep_1,,,1219,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,23
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,1663,480,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15,23
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,7.000000000000000000000000000000,5000,158,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,38,23
216,216_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33,23
217,217_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3989,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23,23
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,56,23
219,219_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,896,885,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,10,23
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,23
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,6.000000000000000000000000000000,2380,309,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,23
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,1705,662,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,23
223,223_0,FAILED,BoTorch,GenerationStep_1,,,2801,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,23
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3044,2475,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,23
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,918,3216,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29,23
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,1039,596,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23,23
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,4073,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,90,23
228,228_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,23
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4054,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56,23
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,5000,854,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,81,23
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,4416,675,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37,23
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,534,3724,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,62,23
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3710,3763,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,87,23
234,234_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,14,23
235,59_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,23
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,4956,936,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,9,23
237,237_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,10,23
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,1,734,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,16,23
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,6.000000000000000000000000000000,5000,524,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,23
240,240_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
241,151_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
242,242_0,FAILED,BoTorch,GenerationStep_1,,,3544,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,23
243,243_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1728,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,56,23
244,244_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
245,245_0,FAILED,BoTorch,GenerationStep_1,,,592,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,23
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,2547,412,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,3229,726,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15,23
248,248_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19,23
249,249_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1325,2602,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,23
250,250_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,219,3536,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,23
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4451,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29,23
252,252_0,FAILED,BoTorch,GenerationStep_1,,,1874,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31,23
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,634,3662,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,27,23
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,41,475,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,20,23
255,255_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,374,113,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21,23
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,82,23
257,257_0,FAILED,BoTorch,GenerationStep_1,,,4467,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,10,23
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,6.000000000000000000000000000000,3063,846,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41,23
259,259_0,FAILED,BoTorch,GenerationStep_1,,,3887,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,27,23
260,260_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,13,23
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4369,2471,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,44,23
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2429,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14,23
263,263_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,23
264,264_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,1925,890,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,84,23
265,265_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38,23
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,86,23
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4257,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,48,23
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,6.000000000000000000000000000000,5000,587,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24,23
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2778,792,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22,23
270,270_0,FAILED,BoTorch,GenerationStep_1,,,511,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
271,271_0,FAILED,BoTorch,GenerationStep_1,,,2913,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3988,3602,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,41,23
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,1861,940,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,23
274,274_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,23
275,275_0,FAILED,BoTorch,GenerationStep_1,,,2361,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,23
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4116,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,27,23
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4126,3348,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,23
278,278_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17,23
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2234,2238,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,94,23
280,280_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,12,23
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3769,783,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,10,23
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,565,839,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,23
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,64,620,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,23
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1566,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,47,23
285,285_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37,23
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4043,3806,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,23
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.320000000000000006661338147751,6.000000000000000000000000000000,4897,265,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
288,288_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,23
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4121,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,65,23
290,290_0,FAILED,BoTorch,GenerationStep_1,,,2767,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,23
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4567,3678,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,23
292,292_0,FAILED,BoTorch,GenerationStep_1,,,3358,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15,23
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,6.000000000000000000000000000000,2152,412,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,23
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,480,671,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,75,23
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,5.000000000000000000000000000000,258,245,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,23
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5,2283,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50,23
297,297_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29,23
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,375,529,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
299,299_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,23
300,300_0,FAILED,BoTorch,GenerationStep_1,,,3611,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,23
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,5.000000000000000000000000000000,1957,940,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,23
302,302_0,FAILED,BoTorch,GenerationStep_1,,,171,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,13,23
303,303_0,FAILED,BoTorch,GenerationStep_1,,,2931,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,23
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,2143,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,78,23
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1648,2223,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,23
306,306_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,23
307,307_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,14,23
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,6.000000000000000000000000000000,4885,367,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,23
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,1801,562,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22,23
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1488,2141,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,23
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1235,3728,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,92,23
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,6.000000000000000000000000000000,4287,648,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,41,23
313,313_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,23
314,314_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4783,4598,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,58,23
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1996,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,26,23
316,240_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1318,4225,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,48,23
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,41,4472,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,68,23
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,2843,496,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,23
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,2213,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,23
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1323,2884,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21,23
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,2748,707,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26,23
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,917,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,79,23
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,23
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,3579,153,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12,23
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,2164,706,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,27,23
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,5.000000000000000000000000000000,3416,556,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,70,23
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,6.000000000000000000000000000000,3457,882,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,23
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4077,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,56,23
330,274_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,23
331,331_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
332,299_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,23
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,6.000000000000000000000000000000,108,689,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,24,23
334,334_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3159,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5,23
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,6.000000000000000000000000000000,380,153,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,23
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,5.000000000000000000000000000000,909,93,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,23
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,2285,826,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25,23
338,338_0,FAILED,BoTorch,GenerationStep_1,,,731,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17,23
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,3333,3185,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31,23
340,340_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,12,23
341,341_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20,23
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.350000000000000033306690738755,7.000000000000000000000000000000,3677,85,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19,23
343,343_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,13,23
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,23
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,3586,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,23
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,6.000000000000000000000000000000,251,449,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,23
347,347_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,23,23
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1593,4648,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,7,23
349,349_0,FAILED,BoTorch,GenerationStep_1,,,4541,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,11,23
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,847,863,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22,23
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2143,3180,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,43,23
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4663,3330,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,32,23
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.309999999999999997779553950750,5.000000000000000000000000000000,2396,368,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,23
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,297,2532,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,59,23
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,2033,3672,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,23
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.209999999999999992228438827624,6.000000000000000000000000000000,1090,946,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,23
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4880,4665,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,95,23
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1565,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,23
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4565,4409,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,23,23
360,360_0,FAILED,BoTorch,GenerationStep_1,,,4063,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,23
361,361_0,FAILED,BoTorch,GenerationStep_1,,,135,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,36,23
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,3671,2359,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,23
363,363_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,23
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,5.000000000000000000000000000000,4822,211,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,23
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.220000000000000001110223024625,5.000000000000000000000000000000,4673,888,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,23
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,141,647,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20,23
367,367_0,FAILED,BoTorch,GenerationStep_1,,,2935,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,23
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,4752,694,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,23
369,369_0,FAILED,BoTorch,GenerationStep_1,,,2899,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20,23
370,240_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
371,371_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3050,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,42,23
372,372_0,FAILED,BoTorch,GenerationStep_1,,,5000,3441,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15,23
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4297,4516,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,23
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.280000000000000026645352591004,6.000000000000000000000000000000,5000,434,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,23
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,4705,710,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,23
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,6.000000000000000000000000000000,4746,579,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,23
377,307_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,14,23
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,23
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4459,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,84,23
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,4239,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,23
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1144,4490,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,55,23
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,6.000000000000000000000000000000,1286,593,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,6.000000000000000000000000000000,3105,4601,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55,23
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.270000000000000017763568394003,6.000000000000000000000000000000,2378,512,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,13,23
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,23
386,386_0,FAILED,BoTorch,GenerationStep_1,,,2695,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,23
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.330000000000000015543122344752,5.000000000000000000000000000000,1164,42,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,23
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,5.000000000000000000000000000000,1,3234,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,37,23
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4327,3819,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,23
390,390_0,FAILED,BoTorch,GenerationStep_1,,,1888,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,23
391,391_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,13,23
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,3983,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15,23
393,393_0,FAILED,BoTorch,GenerationStep_1,,,3336,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,12,23
394,394_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,423,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,23
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.300000000000000044408920985006,5.000000000000000000000000000000,24,297,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,23
396,396_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,4862,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,77,23
397,210_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,23
398,398_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4210,2086,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,23
399,399_0,FAILED,BoTorch,GenerationStep_1,,,2779,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,23
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.239999999999999991118215802999,6.000000000000000000000000000000,4866,820,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,89,23
401,401_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,2160,4471,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26,23
402,402_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,51,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
403,403_0,COMPLETED,BoTorch,GenerationStep_1,0.340000000000000024424906541753,8.000000000000000000000000000000,2694,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17,23
404,404_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,23
405,405_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1983,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,23
406,406_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,4786,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54,23
407,407_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4547,2035,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,65,23
408,408_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,78,3077,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,91,23
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.250000000000000000000000000000,5.000000000000000000000000000000,1,738,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73,23
410,410_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,796,1848,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,74,23
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.230000000000000009992007221626,5.000000000000000000000000000000,4692,864,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78,23
412,412_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4746,4183,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,65,23
413,413_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,5000,4543,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,89,23
414,414_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
415,415_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,24,23
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1675,2070,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,59,23
417,417_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,4414,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,52,23
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.200000000000000011102230246252,4.000000000000000000000000000000,1,1928,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48,23
419,419_0,COMPLETED,BoTorch,GenerationStep_1,0.260000000000000008881784197001,5.000000000000000000000000000000,4103,597,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,71,23
420,420_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,3001,4042,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.797217491269111677709702235006,78,23
421,421_0,COMPLETED,Sobol,SOBOL,0.230000000000000009992007221626,9.000000000000000000000000000000,1648,865,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.388721862690523278782706029233,11,23
422,422_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,813,3038,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.198561896253377195842304558937,61,23
423,423_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,4460,2370,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.616535250969231118922664336424,28,23
424,424_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,3801,3209,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.979730013838037816498172105639,72,23
425,425_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,300,1379,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.329554042251780643368874734733,42,23
426,426_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,2239,4710,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.022908788893371820338806799100,92,23
427,427_0,COMPLETED,Sobol,SOBOL,0.299999999999999988897769753748,7.000000000000000000000000000000,3738,390,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.667014331273734550897813733172,22,23
428,428_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3240,2632,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.541669500155374405991892672318,69,23
429,429_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,8.000000000000000000000000000000,2033,1955,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.149041699791327114654748697831,44,23
430,430_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,428,4135,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.453713031213730577650977693338,94,23
431,431_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,4221,967,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.856366685330867793979336966004,19,23
432,432_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,4.000000000000000000000000000000,4978,4618,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.739810942558571715821358338872,87,23
433,433_0,COMPLETED,Sobol,SOBOL,0.330000000000000015543122344752,8.000000000000000000000000000000,998,288,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.074254476258531210142166401056,2,23
434,434_0,RUNNING,Sobol,SOBOL,,,1540,3615,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.262493730481714038216267681491,52,23
435,435_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,5.000000000000000000000000000000,2560,1794,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.922406278148293456986550609145,37,23
436,436_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2773,3528,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.101681745732203121512782217906,9,23
437,437_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,9.000000000000000000000000000000,1254,1686,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.712865757925435938879843433824,80,23
438,438_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,6.000000000000000000000000000000,1211,4414,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.902569231271743821487518744107,30,23
439,439_0,COMPLETED,Sobol,SOBOL,0.340000000000000024424906541753,7.000000000000000000000000000000,4692,62,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.281846788983792062577293791037,59,23
440,440_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,4200,4341,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.183745777973905205504578930231,41,23
441,441_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,10.000000000000000000000000000000,533,1191,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.506483337132260236224112759373,72,23
442,442_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,2011,2721,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.813585079863667459676435100846,22,23
443,443_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,13.000000000000000000000000000000,3344,2061,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.496978625055402523091885313988,91,23
444,444_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,7.000000000000000000000000000000,3472,4936,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.372793120460584770370360274683,50,23
445,445_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3683,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
446,446_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,7.000000000000000000000000000000,5000,4516,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,23
447,447_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3897,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,23
448,448_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,9.000000000000000000000000000000,2000,887,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,63,23
449,449_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
450,450_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,23
451,451_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
452,452_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,23
453,453_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4992,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
454,454_0,FAILED,BoTorch,BOTORCH_MODULAR,,,72,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,23
455,240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
456,456_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4854,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,23
457,457_0,FAILED,BoTorch,BOTORCH_MODULAR,,,458,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
458,458_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20,23
459,459_0,FAILED,BoTorch,BOTORCH_MODULAR,,,481,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
460,240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
461,461_0,FAILED,BoTorch,BOTORCH_MODULAR,,,176,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,23
462,462_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3826,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
463,463_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1039,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33,23
464,274_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,23
465,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,23
466,240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
467,228_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,23
468,32_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,23
469,469_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3703,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,23
470,470_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2948,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,23
471,240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
472,472_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,23
473,473_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2424,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,23
474,474_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3654,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19,23
475,475_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4808,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,23
476,476_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,12,23
477,477_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4030,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,20,23
478,478_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1257,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,23
479,479_0,FAILED,BoTorch,BOTORCH_MODULAR,,,944,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29,23
480,480_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,23
481,481_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1423,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,13,23
482,482_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,41,23
483,480_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,23
484,484_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2203,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,23
485,485_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,21,23
486,486_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31,23
487,487_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,23
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.309999999999999997779553950750,8.000000000000000000000000000000,1,394,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,14,23
489,480_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,23
490,490_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2898,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,23
491,491_0,FAILED,BoTorch,BOTORCH_MODULAR,,,444,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,41,23
492,492_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4368,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,23
493,493_0,FAILED,BoTorch,BOTORCH_MODULAR,,,691,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23,23
494,472_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,23
495,495_0,FAILED,BoTorch,BOTORCH_MODULAR,,,621,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36,23
496,496_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1416,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,23
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,5.000000000000000000000000000000,331,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,64,23
498,498_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,23
499,499_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3195,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,17,23
500,500_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19,23
501,151_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
502,502_0,FAILED,BoTorch,BOTORCH_MODULAR,,,999,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,22,23
503,503_0,FAILED,BoTorch,BOTORCH_MODULAR,,,775,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39,23
504,504_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,23
505,505_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4629,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
506,458_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,20,23
507,507_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2432,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,26,23
508,508_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4348,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,23
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,8.000000000000000000000000000000,3636,660,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,78,23
510,504_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,23
511,511_0,FAILED,BoTorch,BOTORCH_MODULAR,,,814,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19,23
512,500_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19,23
513,513_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,23
514,514_0,FAILED,BoTorch,BOTORCH_MODULAR,,,761,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,37,23
515,515_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4355,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,23
516,516_0,FAILED,BoTorch,BOTORCH_MODULAR,,,555,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,26,23
517,181_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19,23
518,500_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19,23
519,519_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,19,23
520,520_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2658,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,23
521,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,220,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,39,23
522,228_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,23
523,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2647,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,23,23
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,8.000000000000000000000000000000,1,264,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,22,23
525,525_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4499,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,18,23
526,313_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,23
527,527_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4778,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
528,528_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2245,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,14,23
529,529_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1156,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,16,23
530,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,23
531,531_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4698,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,23
532,363_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,23
533,533_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,13,23
534,363_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,23
535,535_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1704,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,39,23
536,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,15,23
537,537_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,23
538,472_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,23
539,539_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,15,23
540,540_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2136,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,15,23
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2910,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,23
542,542_0,FAILED,BoTorch,BOTORCH_MODULAR,,,912,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,35,23
543,363_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,14,23
544,544_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,19,23
545,472_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,16,23
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1014.000000000000000000000000000000,3660,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,62,23
547,547_0,FAILED,BoTorch,BOTORCH_MODULAR,,,543,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,40,23
548,548_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2672,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.963079492084784605232528065244,15,23
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,18.000000000000000000000000000000,2904,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,11,23
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,8.000000000000000000000000000000,3468,91,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.524253868243742648935779016028,21,23
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,10.000000000000000000000000000000,4128,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.745705741352263307142322901200,1,23
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,8.000000000000000000000000000000,1422,64,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.485804307184497741189943553763,38,23
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,2388,24,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.540473065730470048073641464725,1,23
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,2659,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,23
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,3137,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,23
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,2787,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.599527221322067149777979011560,1,23
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,9.000000000000000000000000000000,4538,105,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.658214343067788809626961210597,36,23
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,13.000000000000000000000000000000,423,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.535820109473222339069309327897,100,23
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,13.000000000000000000000000000000,1048,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,23
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,8.000000000000000000000000000000,2543,113,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.300384952519470171949933501310,30,23
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,7.000000000000000000000000000000,2818,679,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.034948034341136559322027466123,1,23
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,13.000000000000000000000000000000,2404,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.310535712857733292580064698996,100,23
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,9.000000000000000000000000000000,175,88,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.216997251502171889514514191433,17,23
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,54.000000000000000000000000000000,3057,173,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.749872093079584578489971136150,96,23
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,127.000000000000000000000000000000,977,24,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.170356762801454397759925996070,80,23
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,12.000000000000000000000000000000,1487,2250,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.449513994295517860244615349075,1,23
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.309999999999999997779553950750,22.000000000000000000000000000000,2164,116,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.613284889323256754423141501320,65,23
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,135.000000000000000000000000000000,1179,48,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.379828142878774477342318505180,97,23
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,57.000000000000000000000000000000,2735,170,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.459716642877696646252161372104,95,23
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,36.000000000000000000000000000000,2522,42,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.775847190745659442967507857247,76,23
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,17.000000000000000000000000000000,2010,87,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.169655118747948113755441568173,63,23
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,54.000000000000000000000000000000,1571,8,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.405311321327265383640536811072,52,23
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,9.000000000000000000000000000000,98,5,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.489743269767220712473942967335,16,23
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3668,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.779006722200446755088876216178,1,23
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,7.000000000000000000000000000000,4070,97,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.707960778861638884151830097835,17,23
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,8.000000000000000000000000000000,2730,101,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.782091807327624843892976969073,5,23
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,13.000000000000000000000000000000,4932,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.194102440765219791396489767976,34,23
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,14.000000000000000000000000000000,3519,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.193532599053255593979372406466,1,23
579,579_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3872,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.317038957958761913324963188643,32,23
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,7.000000000000000000000000000000,4871,15,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.832583860179801793499620998773,1,23
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,7.000000000000000000000000000000,1689,92,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.214006546478083786722024228766,17,23
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,10.000000000000000000000000000000,2470,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.795085199021669741803464148688,1,23
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,8.000000000000000000000000000000,2269,21,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.317944517065475662498386100197,26,23
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,3641,120,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.763662265641487314482560577744,60,23
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,8.000000000000000000000000000000,2403,32,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.490169556245603432742541372136,63,23
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,99.000000000000000000000000000000,1463,35,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.413867593621741303167027581367,86,23
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,10.000000000000000000000000000000,3688,3,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.134750669773495784786732087923,35,23
588,588_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1031,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.140688270842383750247606144512,98,23
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,14.000000000000000000000000000000,4890,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.688503944024075664742667868268,1,23
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,11.000000000000000000000000000000,4113,2313,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.622635330733867897734512553143,1,23
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,12.000000000000000000000000000000,4086,587,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.146480840403602013966022354907,70,23
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.309999999999999997779553950750,8.000000000000000000000000000000,223,363,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.142469097991507004374867051411,85,23
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,12.000000000000000000000000000000,4562,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.806410383372718087002795073204,54,23
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,12.000000000000000000000000000000,4317,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.870989912613052918999301255099,1,23
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.309999999999999997779553950750,42.000000000000000000000000000000,3731,99,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.642628679780882450245371728670,80,23
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,378.000000000000000000000000000000,3315,18,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.376184871181229119052602527518,99,23
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,4995,42,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.849271022302258482561398977850,46,23
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,13.000000000000000000000000000000,2167,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.599003250207874038402167116146,33,23
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.309999999999999997779553950750,19.000000000000000000000000000000,4608,118,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.584255455052776984103957147454,71,23
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.270000000000000017763568394003,12.000000000000000000000000000000,1982,477,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.156568593475684830762517663061,61,23
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,29.000000000000000000000000000000,2654,38,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.520324512906205849382956785121,59,23
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,8.000000000000000000000000000000,54,88,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.592945171341441756851509126136,29,23
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,20.000000000000000000000000000000,4140,80,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.648809060777622792492991266045,63,23
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,9.000000000000000000000000000000,1363,41,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.576043983182241148277569209313,2,23
605,605_0,FAILED,BoTorch,BOTORCH_MODULAR,,,892,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.894270839527214755904083176574,1,23
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,11.000000000000000000000000000000,4690,108,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.672573746191220900314533537312,57,23
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,7.000000000000000000000000000000,3648,124,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.888365938339632621456587457942,11,23
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,7.000000000000000000000000000000,3900,89,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.414903257517494794548440495419,47,23
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,7.000000000000000000000000000000,1922,83,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.303450044758379611220533433880,16,23
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,13.000000000000000000000000000000,4277,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.362285328141732587692303013682,1,23
611,611_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4646,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.425268471435141071079755192841,21,23
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,7.000000000000000000000000000000,113,113,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.227377709283166501430528683159,18,23
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,8.000000000000000000000000000000,4410,203,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.230109895265158237442904010095,6,23
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,1183,56,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.380941286685557323199446955186,33,23
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,11.000000000000000000000000000000,4623,43,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.754622686869788616981225004565,28,23
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,11.000000000000000000000000000000,3862,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.580281756214905075630383635144,26,23
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,8.000000000000000000000000000000,840,2752,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.475446438080539768300525338418,72,23
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,7.000000000000000000000000000000,199,300,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.136301887405677502052014915535,34,23
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,102.000000000000000000000000000000,4192,56,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.431603258621608087963750222116,97,23
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,18,30,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.738621608223758441269524155359,60,23
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.299999999999999988897769753748,9.000000000000000000000000000000,3417,373,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.109054373532105439159600734911,22,23
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,12.000000000000000000000000000000,2898,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.841914612197829148598771098477,1,23
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,10.000000000000000000000000000000,186,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.937289298805267456771161960205,100,23
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,3245,8,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.760567856574756895327027450548,29,23
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4049,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.946067332032631824745294579770,1,23
626,626_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,17.000000000000000000000000000000,4107,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.641407253978015012840785402659,34,23
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,8.000000000000000000000000000000,3364,25,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.706911829847631345558056636946,17,23
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,12.000000000000000000000000000000,4091,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.542205185079749463206155724038,19,23
629,629_0,FAILED,BoTorch,BOTORCH_MODULAR,,,189,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.457637941588167784789931147316,2,23
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,11.000000000000000000000000000000,255,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.872343630313069606785347787081,1,23
631,631_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3297,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.434620985007194926552642755269,58,23
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4550149/4550149_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4551752/4551752_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4552426/4552426_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553110/4553110_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553373/4553373_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4553825/4553825_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4554334/4554334_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4554737/4554737_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4555097/4555097_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4555719/4555719_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556280/4556280_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4556742/4556742_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557205/4557205_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4557775/4557775_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4558343/4558343_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4558771/4558771_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4559169/4559169_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4559716/4559716_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560251/4560251_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560649/4560649_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561174/4561174_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561499/4561499_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561945/4561945_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562298/4562298_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4562649/4562649_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563049/4563049_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4563550/4563550_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564122/4564122_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564462/4564462_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4564853/4564853_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565265/4565265_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565667/4565667_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4565975/4565975_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566438/4566438_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4566749/4566749_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567119/4567119_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567484/4567484_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4567817/4567817_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568266/4568266_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4568779/4568779_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569138/4569138_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570062/4570062_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4570565/4570565_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571034/4571034_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571445/4571445_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4571809/4571809_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572099/4572099_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572572/4572572_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4572971/4572971_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4573759/4573759_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574166/4574166_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4574694/4574694_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575094/4575094_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575544/4575544_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4575924/4575924_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576385/4576385_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4576780/4576780_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577106/4577106_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577428/4577428_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4577766/4577766_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578534/4578534_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4578954/4578954_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579313/4579313_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4579618/4579618_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580047/4580047_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580373/4580373_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4580816/4580816_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581100/4581100_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581540/4581540_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4581769/4581769_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582131/4582131_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582498/4582498_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4582720/4582720_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583073/4583073_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4583699/4583699_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584259/4584259_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4584762/4584762_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585097/4585097_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585413/4585413_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585756/4585756_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4585968/4585968_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586200/4586200_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586439/4586439_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4586790/4586790_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587069/4587069_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587353/4587353_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587684/4587684_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4587953/4587953_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588200/4588200_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588475/4588475_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4588747/4588747_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4589106/4589106_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4589416/4589416_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4589755/4589755_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4590037/4590037_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4590680/4590680_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4591017/4591017_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4595448/4595448_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4596323/4596323_0_log.err not found


⚠ Job 4597731 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597731/4597731_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597731/4597731_0_log.out
----------------------------------------
submitit INFO (2025-04-19 15:23:38,501) - Starting with JobEnvironment(job_id=4597731, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-04-19 15:23:38,503) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597731/4597731_submitted.pkl
slurmstepd: error: *** JOB 4597731 ON i7183 CANCELLED AT 2025-04-19T15:53:58 DUE TO TIME LIMIT ***



/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4597731/4597731_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4600691/4600691_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4601581/4601581_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4603782/4603782_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4604365/4604365_0_log.err not found

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;Args Overview</h1>
			<h2>Arguments Overview:                                                                                  </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value                                                                                                                                  </th></tr></thead><tbody><tr><td> config_yaml</td><td>None                                                                                                                                   </td></tr><tr><td> config_toml</td><td>None                                                                                                                                   </td></tr><tr><td> config_json</td><td>None                                                                                                                                   </td></tr><tr><td> num_random_steps</td><td>20                                                                                                                                     </td></tr><tr><td> max_eval</td><td>None                                                                                                                                   </td></tr><tr><td> run_program</td><td>None                                                                                                                                   </td></tr><tr><td> experiment_name</td><td>None                                                                                                                                   </td></tr><tr><td> mem_gb</td><td>1                                                                                                                                      </td></tr><tr><td> parameter</td><td>None                                                                                                                                   </td></tr><tr><td> continue_previous_job</td><td>/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_TMDBalanced5s_ft_23_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0 </td></tr><tr><td> experiment_constraints</td><td>None                                                                                                                                   </td></tr><tr><td> run_dir</td><td>runs                                                                                                                                   </td></tr><tr><td> seed</td><td>None                                                                                                                                   </td></tr><tr><td> decimalrounding</td><td>4                                                                                                                                      </td></tr><tr><td> enforce_sequential_optimization</td><td>False                                                                                                                                  </td></tr><tr><td> verbose_tqdm</td><td>False                                                                                                                                  </td></tr><tr><td> model</td><td>None                                                                                                                                   </td></tr><tr><td> gridsearch</td><td>False                                                                                                                                  </td></tr><tr><td> occ</td><td>False                                                                                                                                  </td></tr><tr><td> show_sixel_scatter</td><td>False                                                                                                                                  </td></tr><tr><td> show_sixel_general</td><td>False                                                                                                                                  </td></tr><tr><td> show_sixel_trial_index_result</td><td>False                                                                                                                                  </td></tr><tr><td> follow</td><td>False                                                                                                                                  </td></tr><tr><td> send_anonymized_usage_stats</td><td>False                                                                                                                                  </td></tr><tr><td> ui_url</td><td>None                                                                                                                                   </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485                                                                                                                         </td></tr><tr><td> exclude</td><td>None                                                                                                                                   </td></tr><tr><td> main_process_gb</td><td>8                                                                                                                                      </td></tr><tr><td> pareto_front_confidence</td><td>1                                                                                                                                      </td></tr><tr><td> max_nr_of_zero_results</td><td>10                                                                                                                                     </td></tr><tr><td> abbreviate_job_names</td><td>False                                                                                                                                  </td></tr><tr><td> orchestrator_file</td><td>None                                                                                                                                   </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False                                                                                                                                  </td></tr><tr><td> live_share</td><td>False                                                                                                                                  </td></tr><tr><td> disable_tqdm</td><td>False                                                                                                                                  </td></tr><tr><td> workdir</td><td>False                                                                                                                                  </td></tr><tr><td> occ_type</td><td>euclid                                                                                                                                 </td></tr><tr><td> result_names</td><td>[&#039;RESULT=min&#039;]                                                                                                                         </td></tr><tr><td> minkowski_p</td><td>2                                                                                                                                      </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None                                                                                                                                   </td></tr><tr><td> generate_all_jobs_at_once</td><td>False                                                                                                                                  </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True                                                                                                                                   </td></tr><tr><td> load_data_from_existing_jobs</td><td>[]                                                                                                                                     </td></tr><tr><td> n_estimators_randomforest</td><td>100                                                                                                                                    </td></tr><tr><td> external_generator</td><td>None                                                                                                                                   </td></tr><tr><td> username</td><td>None                                                                                                                                   </td></tr><tr><td> max_failed_jobs</td><td>None                                                                                                                                   </td></tr><tr><td> num_parallel_jobs</td><td>20                                                                                                                                     </td></tr><tr><td> worker_timeout</td><td>30                                                                                                                                     </td></tr><tr><td> slurm_use_srun</td><td>False                                                                                                                                  </td></tr><tr><td> time</td><td></td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None                                                                                                                                   </td></tr><tr><td> force_local_execution</td><td>False                                                                                                                                  </td></tr><tr><td> slurm_signal_delay_s</td><td>0                                                                                                                                      </td></tr><tr><td> nodes_per_job</td><td>1                                                                                                                                      </td></tr><tr><td> cpus_per_task</td><td>1                                                                                                                                      </td></tr><tr><td> account</td><td>None                                                                                                                                   </td></tr><tr><td> gpus</td><td>0                                                                                                                                      </td></tr><tr><td> run_mode</td><td>local                                                                                                                                  </td></tr><tr><td> verbose</td><td>False                                                                                                                                  </td></tr><tr><td> verbose_break_run_search_table</td><td>False                                                                                                                                  </td></tr><tr><td> debug</td><td>False                                                                                                                                  </td></tr><tr><td> no_sleep</td><td>False                                                                                                                                  </td></tr><tr><td> tests</td><td>False                                                                                                                                  </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False                                                                                                                                  </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False                                                                                                                                  </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False                                                                                                                                  </td></tr><tr><td> raise_in_eval</td><td>False                                                                                                                                  </td></tr><tr><td> show_ram_every_n_seconds</td><td>False                                                                                                                                  </td></tr></tbody></table>
			<h1>&nbsp;Worker-Usage</h1>
			<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
<pre id="pre_tab_worker_usage">1744997496.5025046,20,0,0
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1744997537.4393563,20,4,20
1744997549.3656087,20,4,20
1744997550.041367,20,4,20
1744997550.2302022,20,4,20
1744997551.9151812,20,5,25
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1744997566.5193007,20,5,25
1744997566.7026632,20,5,25
1744997568.0737212,20,6,30
1744997568.5444372,20,6,30
1744997584.4918177,20,5,25
1744997584.5594327,20,5,25
1744997585.3110685,20,5,25
1744997585.5233696,20,5,25
1744997587.0154545,20,6,30
1744997587.5173044,20,6,30
1744997604.315057,20,5,25
1744997604.3890576,20,5,25
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1745060720.3700395,20,2,10
1745060721.86889,20,2,10
1745060735.0707388,20,1,5
1745060735.211307,20,1,5
1745061021.4369936,20,1,5
1745061022.2250702,20,1,5
1745061024.1568003,20,2,10
1745061025.3569095,20,2,10
1745061037.1661727,20,1,5
1745061037.271401,20,1,5
1745061334.1123276,20,1,5
1745061334.729082,20,1,5
1745061336.45217,20,2,10
1745061337.8953977,20,2,10
1745061352.3286753,20,1,5
1745061352.4446192,20,1,5
1745061682.6156366,20,1,5
1745061683.2764566,20,1,5
1745061685.3724306,20,2,10
1745061686.6887512,20,2,10
1745061699.6196907,20,1,5
1745061699.752292,20,1,5
1745062026.3396075,20,1,5
1745062027.2188058,20,1,5
1745062029.215025,20,2,10
1745062030.5740595,20,2,10
1745062043.6604507,20,1,5
1745062043.7711713,20,1,5
1745062327.5873947,20,1,5
1745062328.1081839,20,1,5
1745062329.6496093,20,2,10
1745062330.5085337,20,2,10
1745062342.980982,20,1,5
1745062343.082425,20,1,5
1745062635.4999802,20,1,5
1745062636.255909,20,1,5
1745062638.3236709,20,2,10
1745062639.6564312,20,2,10
1745062652.3238664,20,1,5
1745062652.4464483,20,1,5
1745062918.8037908,20,1,5
1745062919.3948114,20,1,5
1745062921.47966,20,2,10
1745062922.8322964,20,2,10
1745062935.6908467,20,1,5
1745062935.8112013,20,1,5
1745063322.454442,20,1,5
1745063323.1956797,20,1,5
1745063325.392306,20,2,10
1745063326.5265582,20,2,10
1745063338.9869308,20,1,5
1745063339.0875747,20,1,5
1745063640.2206411,20,1,5
1745063640.8272045,20,1,5
1745063642.544772,20,2,10
1745063643.943179,20,2,10
1745063657.083821,20,1,5
1745063657.2090468,20,1,5
1745063882.3160508,20,1,5
1745063883.0879068,20,1,5
1745063884.7619982,20,2,10
1745063886.0329514,20,2,10
1745063898.2922792,20,1,5
1745063898.4283412,20,1,5
1745064224.4940016,20,1,5
1745064225.3075912,20,1,5
1745064227.3585424,20,2,10
1745064228.80134,20,2,10
1745064241.1507676,20,1,5
1745064241.2686715,20,1,5
1745064596.0747523,20,1,5
1745064596.671762,20,1,5
1745064598.4467137,20,2,10
1745064599.8557403,20,2,10
1745064612.178839,20,1,5
1745064612.3068693,20,1,5
1745064916.450383,20,1,5
1745064917.2874982,20,1,5
1745064919.340046,20,2,10
1745064920.1042576,20,2,10
1745064934.8341947,20,1,5
1745064934.9589784,20,1,5
1745065197.7926729,20,1,5
1745065198.2854235,20,1,5
1745065200.2250302,20,2,10
1745065201.321378,20,2,10
1745065213.6699383,20,1,5
1745065213.7854495,20,1,5
1745065520.635963,20,1,5
1745065521.33705,20,1,5
1745065523.3975363,20,2,10
1745065524.9051347,20,2,10
1745065538.975222,20,1,5
1745065539.0912123,20,1,5
1745065871.8166318,20,1,5
1745065872.4186914,20,1,5
1745065874.3621445,20,2,10
1745065875.7433841,20,2,10
1745065888.9439487,20,1,5
1745065889.0677583,20,1,5
1745066247.9263139,20,1,5
1745066248.5842664,20,1,5
1745066250.3514402,20,2,10
1745066251.712605,20,2,10
1745066265.9673302,20,1,5
1745066266.257188,20,1,5
1745066276.2352347,20,1,5
1745066281.9730835,20,1,5
1745066293.610173,20,0,0
1745066308.539514,20,0,0
1745066615.2309663,20,0,0
1745066615.7436492,20,0,0
1745066617.4926226,20,1,5
1745066626.161999,20,1,5
1745066905.1865242,20,1,5
1745066905.8011115,20,1,5
1745066907.5091496,20,2,10
1745066908.7797015,20,2,10
1745066921.785343,20,1,5
1745066921.8973634,20,1,5
1745067261.5258367,20,1,5
1745067262.2054434,20,1,5
1745067264.2780805,20,2,10
1745067265.4440215,20,2,10
1745067277.9694448,20,1,5
1745067278.0777237,20,1,5
1745067610.9984596,20,1,5
1745067611.5611444,20,1,5
1745067613.3360512,20,2,10
1745067614.7202752,20,2,10
1745067627.087344,20,1,5
1745067627.2037516,20,1,5
1745067906.5403595,20,1,5
1745067907.1971657,20,1,5
1745067908.9287922,20,2,10
1745067909.9555674,20,2,10
1745067921.4836042,20,1,5
1745067921.578985,20,1,5
1745068166.0761325,20,1,5
1745068166.5845034,20,1,5
1745068168.24622,20,2,10
1745068169.227337,20,2,10
1745068180.2129502,20,1,5
1745068180.311714,20,1,5
1745068422.8186963,20,1,5
1745068423.279349,20,1,5
1745068425.1967046,20,2,10
1745068426.2008533,20,2,10
1745068436.273868,20,1,5
1745068436.374636,20,1,5
1745068704.8676872,20,1,5
1745068705.338005,20,1,5
1745068707.1638088,20,2,10
1745068708.224952,20,2,10
1745068718.6861115,20,1,5
1745068718.8866851,20,1,5
1745069009.5305245,20,1,5
1745069010.080788,20,1,5
1745069011.6363535,20,2,10
1745069012.4088821,20,2,10
1745069022.939092,20,1,5
1745069023.0213478,20,1,5
1745069317.6754477,20,1,5
1745069318.0963738,20,1,5
1745069319.6387413,20,2,10
1745069329.9161167,20,2,10
1745069555.0554674,20,2,10
1745069555.46969,20,2,10
1745069557.2208893,20,3,15
1745069562.4494588,20,3,15
1745069574.0332775,20,2,10
1745069574.1938336,20,2,10
1745069856.0038478,20,2,10
1745069856.5314415,20,2,10
1745069858.2823246,20,3,15
1745069862.9830816,20,3,15
1745069876.15085,20,2,10
1745069876.2643175,20,2,10
1745070210.5228894,20,2,10
1745070211.207407,20,2,10
1745070213.1129339,20,3,15
1745070218.1685944,20,3,15
1745070230.5657122,20,2,10
1745070230.9905257,20,2,10
1745070579.0575979,20,2,10
1745070579.5644116,20,2,10
1745070581.325796,20,3,15
1745070586.8064485,20,3,15
1745070599.0739639,20,2,10
1745070599.1825137,20,2,10
1745070971.7141566,20,2,10
1745070972.2711234,20,2,10
1745070974.3286705,20,3,15
1745070990.253575,20,3,15
1745070997.6245506,20,2,10
1745071009.1260228,20,1,5
1745071009.360756,20,1,5
1745071324.201355,20,1,5
1745071324.7771084,20,1,5
1745071326.4439166,20,2,10
1745071327.737593,20,2,10
1745071339.8213491,20,1,5
1745071339.934674,20,1,5
1745071767.4968977,20,1,5
1745071768.3172557,20,1,5
1745071770.3891187,20,2,10
1745071771.8651588,20,2,10
1745071784.7678485,20,1,5
1745071784.8861437,20,1,5
1745072103.2983932,20,1,5
1745072103.9657958,20,1,5
1745072105.6198094,20,2,10
1745072117.4120212,20,2,10
1745072413.9630811,20,2,10
1745072414.4983537,20,2,10
1745072416.3325465,20,3,15
1745072417.6586072,20,3,15
1745072423.864059,20,2,10
1745072437.0986788,20,1,5
1745072437.3294141,20,1,5
1745072783.136905,20,1,5
1745072783.7726052,20,1,5
1745072786.5705104,20,2,10
1745072787.869511,20,2,10
1745072802.4898243,20,1,5
1745072802.8146088,20,1,5
1745072812.4319496,20,1,5
1745072826.0430472,20,1,5
1745072832.2182114,20,1,5
1745072841.0755608,20,0,0
1745072854.7750068,20,0,0
1745073258.384334,20,0,0
1745073258.8862367,20,0,0
1745073260.6590219,20,1,5
1745073269.9092884,20,1,5
1745073591.4477875,20,1,5
1745073592.2569225,20,1,5
1745073594.2009292,20,2,10
1745073595.40667,20,2,10
1745073608.4623659,20,1,5
1745073608.5780232,20,1,5
1745073911.0343351,20,1,5
1745073912.611563,20,1,5
1745073914.414703,20,2,10
1745073915.84872,20,2,10
1745073929.6309304,20,1,5
1745073929.7488465,20,1,5
1745074249.7729664,20,1,5
1745074250.4187112,20,1,5
1745074252.3678222,20,2,10
1745074253.8181374,20,2,10
1745074267.2149515,20,1,5
1745074267.3466427,20,1,5
1745074586.7232022,20,1,5
1745074587.2300503,20,1,5
1745074589.301543,20,2,10
1745074590.5774207,20,2,10
1745074603.4725964,20,1,5
1745074603.583617,20,1,5
1745074944.2569094,20,1,5
1745074944.8847828,20,1,5
1745074946.6105273,20,2,10
1745074947.9637403,20,2,10
1745074961.3245838,20,1,5
1745074961.4392188,20,1,5
1745075310.6865785,20,1,5
1745075311.27904,20,1,5
1745075313.3190486,20,2,10
1745075314.0169907,20,2,10
1745075327.893343,20,1,5
1745075328.0061522,20,1,5
1745075577.26888,20,1,5
1745075577.8474202,20,1,5
1745075579.4974105,20,2,10
1745075580.7261975,20,2,10
1745075592.692901,20,1,5
1745075592.8066306,20,1,5
1745075876.8722556,20,1,5
1745075877.448974,20,1,5
1745075879.2865858,20,2,10
1745075880.5396886,20,2,10
1745075892.4787412,20,1,5
1745075892.5817173,20,1,5
1745076214.1455877,20,1,5
1745076214.7021446,20,1,5
1745076216.3399408,20,2,10
1745076217.5256522,20,2,10
1745076229.2846832,20,1,5
1745076229.4102411,20,1,5
1745076521.4101527,20,1,5
1745076522.1521387,20,1,5
1745076523.7757783,20,2,10
1745076524.8739302,20,2,10
1745076536.7582467,20,1,5
1745076536.8789682,20,1,5
1745076850.9993315,20,1,5
1745076851.537341,20,1,5
1745076853.2707872,20,2,10
1745076854.5101104,20,2,10
1745076866.568005,20,1,5
1745076866.6758244,20,1,5
1745077129.6122317,20,1,5
1745077130.1618462,20,1,5
1745077131.8026175,20,2,10
1745077132.3469598,20,2,10
1745077145.586549,20,1,5
1745077145.7202606,20,1,5
1745077407.5045228,20,1,5
1745077408.2075477,20,1,5
1745077410.13137,20,2,10
1745077411.292731,20,2,10
1745077423.0249913,20,1,5
1745077423.1319282,20,1,5
1745077710.0108507,20,1,5
1745077710.4945076,20,1,5
1745077712.2125807,20,2,10
1745077713.3128457,20,2,10
1745077724.7476609,20,1,5
1745077724.868423,20,1,5
1745078079.4538033,20,1,5
1745078080.2597566,20,1,5
1745078082.2629607,20,2,10
1745078083.4466634,20,2,10
1745078097.5213423,20,1,5
1745078097.628458,20,1,5
1745078437.8596268,20,1,5
1745078438.4265022,20,1,5
1745078440.3192344,20,2,10
1745078441.6786695,20,2,10
1745078454.249132,20,1,5
1745078454.3586802,20,1,5
1745078792.2256286,20,1,5
1745078792.7982934,20,1,5
1745078794.4843197,20,2,10
1745078795.724488,20,2,10
1745078807.9487863,20,1,5
1745078808.088442,20,1,5
1745079150.8653543,20,1,5
1745079151.3721118,20,1,5
1745079153.287662,20,2,10
1745079154.4187346,20,2,10
1745079166.5360465,20,1,5
1745079166.6494458,20,1,5
1745079495.141964,20,1,5
1745079495.660955,20,1,5
1745079497.27952,20,2,10
1745079498.3690746,20,2,10
1745079510.565793,20,1,5
1745079510.7876813,20,1,5
</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
1744997496,633.0390625,33.2
1744997496,633.0390625,38.4
1744997496,633.078125,34.0
1744997496,633.078125,40.0
1744997496,633.078125,39.0
1744997496,633.078125,34.7
1744997496,633.078125,24.3
1744997896,666.96484375,36.1
1744997896,666.96484375,45.7
1744997897,666.96484375,40.1
1744997897,666.96484375,46.3
1745007944,864.62109375,51.9
1745007944,864.62109375,56.1
1745007944,864.62109375,54.9
1745007944,864.62109375,54.0
1745018257,863.68359375,54.8
1745018257,863.68359375,53.3
1745018257,863.68359375,53.0
1745018257,863.68359375,54.0
1745029008,867.72265625,54.8
1745029008,867.72265625,57.8
1745029008,867.72265625,59.1
1745029008,867.72265625,60.7
1745040310,879.515625,55.1
1745040310,879.515625,55.6
1745040310,879.515625,57.1
1745040310,879.515625,56.9
1745051072,890.30859375,51.9
1745051072,890.30859375,46.7
1745051072,890.30859375,45.6
1745051072,890.30859375,47.8
1745059734,911.8203125,44.5
1745059734,911.8203125,38.4
1745059734,911.8203125,37.1
1745059734,911.8203125,48.3
1745066275,892.9375,35.8
1745066275,892.9375,40.4
1745066275,892.9375,38.7
1745066275,892.9375,32.4
1745072812,893.02734375,28.2
1745072812,893.02734375,32.6
1745072812,893.02734375,32.5
1745072812,893.02734375,34.8
1745079519,893.11328125,24.4
1745079519,893.11328125,17.0
1745079520,893.11328125,17.5
1745079520,893.11328125,17.6
</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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